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These are the user uploaded subtitles that are being translated: 1 00:00:06,800 --> 00:00:07,833 ♪ 2 00:00:07,866 --> 00:00:13,300 NARRATOR: A family secret exposed. 3 00:00:13,333 --> 00:00:16,600 DANI SHAPIRO: If my father wasn't my biological father, who was? 4 00:00:16,633 --> 00:00:19,200 Something very, very important was kept from me. 5 00:00:19,233 --> 00:00:21,700 NARRATOR: A hidden legacy... 6 00:00:21,733 --> 00:00:23,866 ...revealed. 7 00:00:23,900 --> 00:00:27,966 TYQUINE GOLDEN: Somewhere in slavery that 20% might've been integrated 8 00:00:28,000 --> 00:00:29,066 with our DNA, 9 00:00:29,100 --> 00:00:31,266 and that might not have been voluntary. 10 00:00:31,300 --> 00:00:33,866 NARRATOR: A life-threatening illness... 11 00:00:33,900 --> 00:00:36,333 ...prevented. 12 00:00:36,366 --> 00:00:38,400 JESSICA ALGAZI: They quite possibly saved my life. 13 00:00:38,433 --> 00:00:44,200 NARRATOR: And a decades-old murder finally solved. 14 00:00:45,033 --> 00:00:46,533 CHELSEA RUSTAD: Without my DNA, 15 00:00:46,566 --> 00:00:47,966 it would have been dead in the water. 16 00:00:49,100 --> 00:00:50,766 NARRATOR: Just a few of the millions of stories 17 00:00:50,800 --> 00:00:53,400 launched by one of the most popular 18 00:00:53,433 --> 00:00:57,933 and promising new technologies-- 19 00:00:57,966 --> 00:01:02,833 consumer DNA testing. 20 00:01:02,866 --> 00:01:06,266 With a swab, or a bit of spit, 21 00:01:06,300 --> 00:01:08,500 some 30 million of us have turned over 22 00:01:08,533 --> 00:01:11,233 our most personal information 23 00:01:11,266 --> 00:01:13,366 hoping to discover 24 00:01:13,400 --> 00:01:14,933 what's hidden inside us. 25 00:01:14,966 --> 00:01:17,800 But what do the tests really deliver? 26 00:01:17,833 --> 00:01:20,600 Spain, Portugal... 27 00:01:20,633 --> 00:01:21,933 Norway?! 28 00:01:21,966 --> 00:01:24,200 NARRATOR: How good is the science? 29 00:01:24,233 --> 00:01:27,400 And how are the tests changing our lives? 30 00:01:27,433 --> 00:01:28,766 JUNE SMITH: I just couldn't believe it. 31 00:01:28,800 --> 00:01:31,800 I was on the phone with my older sister. 32 00:01:31,833 --> 00:01:34,733 NARRATOR: In search of clues... 33 00:01:34,766 --> 00:01:36,733 "The Secrets in Our DNA," 34 00:01:36,766 --> 00:01:40,100 right now, on "NOVA"! 35 00:01:40,133 --> 00:01:55,066 ♪ 36 00:01:55,066 --> 00:02:00,700 ♪ 37 00:02:01,633 --> 00:02:02,666 NARRATOR: It's a promise 38 00:02:02,700 --> 00:02:06,866 many of us just can't resist. 39 00:02:06,900 --> 00:02:12,266 Send in your DNA and unlock secrets about family... 40 00:02:12,833 --> 00:02:15,700 ...ancestry... 41 00:02:15,733 --> 00:02:17,800 ...and even health. 42 00:02:17,833 --> 00:02:21,766 It's rare that something comes along that is truly new. 43 00:02:21,800 --> 00:02:24,166 And this is something that's truly new. 44 00:02:25,433 --> 00:02:27,000 NARRATOR: But just how reliable 45 00:02:27,033 --> 00:02:28,533 are consumer DNA tests, 46 00:02:28,566 --> 00:02:32,300 and their scientific-looking ancestry percentages? 47 00:02:32,333 --> 00:02:33,633 ♪ 48 00:02:33,666 --> 00:02:38,266 Should we worry about our privacy? 49 00:02:38,300 --> 00:02:41,900 What are the unforeseen consequences when we reveal 50 00:02:41,933 --> 00:02:44,933 the "Secrets in Our DNA"? 51 00:02:44,966 --> 00:02:50,133 ♪ 52 00:03:04,066 --> 00:03:05,666 In the suburbs of Olympia, Washington, 53 00:03:05,700 --> 00:03:09,933 one woman finds out just how unpredictable 54 00:03:09,966 --> 00:03:13,366 those consequences can be. 55 00:03:13,400 --> 00:03:16,900 Chelsea Rustad, who works as an I.T. specialist, 56 00:03:16,933 --> 00:03:20,233   is an avid family historian. 57 00:03:20,266 --> 00:03:21,866 In 2015, 58 00:03:21,900 --> 00:03:24,066 she takes a test with the biggest 59 00:03:24,100 --> 00:03:27,966 of the direct-to-consumer companies-- AncestryDNA. 60 00:03:28,000 --> 00:03:29,233 RUSTAD: People end up 61 00:03:29,266 --> 00:03:31,833 doing it oftentimes because, "I just wanna learn 62 00:03:31,866 --> 00:03:33,933 about my ancestral background." 63 00:03:33,966 --> 00:03:36,700 But then something else pops up that they really 64 00:03:36,733 --> 00:03:38,300 were not expecting at all, 65 00:03:38,333 --> 00:03:39,533 and that's exactly what this was for me. 66 00:03:39,566 --> 00:03:41,566 NARRATOR: The test results 67 00:03:41,600 --> 00:03:43,800 suggest that Chelsea is mostly of Norwegian 68 00:03:43,833 --> 00:03:46,466 and German ancestry. 69 00:03:46,500 --> 00:03:50,900 Then, because she's also curious to find new relatives, 70 00:03:50,933 --> 00:03:54,100 she downloads her raw file from Ancestry, 71 00:03:54,133 --> 00:03:58,800 and uploads it to a free website called GEDmatch. 72 00:03:58,833 --> 00:04:01,000 It's a place where anyone 73 00:04:01,033 --> 00:04:04,333 can search for matches no matter what company they tested with. 74 00:04:06,366 --> 00:04:09,233 GEDmatch shows Chelsea everyone else on the site 75 00:04:09,266 --> 00:04:12,666 who shares DNA with her. 76 00:04:12,700 --> 00:04:15,066 RUSTAD: It's kind of humbling 77 00:04:15,100 --> 00:04:17,066 and interesting to see those interconnections, 78 00:04:17,100 --> 00:04:20,533 to realize the sheer number of people that we share 79 00:04:20,566 --> 00:04:23,100 some percentage of DNA with and don't even realize it. 80 00:04:23,133 --> 00:04:28,433 NARRATOR: On GEDmatch, Chelsea sees an aunt whom she knows, 81 00:04:28,466 --> 00:04:30,966 but no new close relatives. 82 00:04:31,000 --> 00:04:32,300 (clicks) 83 00:04:32,333 --> 00:04:35,933 She logs off, and doesn't check the site again. 84 00:04:35,966 --> 00:04:38,033 (birds twittering) 85 00:04:38,066 --> 00:04:40,600 Three years go by. 86 00:04:40,633 --> 00:04:45,200 And then, on the evening of May 17, 2018, 87 00:04:45,233 --> 00:04:48,933 Chelsea gets some unexpected visitors. 88 00:04:48,966 --> 00:04:50,266 RUSTAD: I look through the peephole 89 00:04:50,300 --> 00:04:53,966 and see that there are two cops waiting outside there. 90 00:04:54,000 --> 00:04:57,366 And when I opened the door, they introduced themselves 91 00:04:57,400 --> 00:05:00,633 as investigators who are looking into a homicide 92 00:05:00,666 --> 00:05:05,133 that was a cold case from 31 years ago. 93 00:05:05,166 --> 00:05:08,166 NARRATOR: They've come to her door as a result of that DNA file 94 00:05:08,200 --> 00:05:10,500 she posted on GEDmatch. 95 00:05:10,533 --> 00:05:14,600 To her amazement, they tell her that her DNA 96 00:05:14,633 --> 00:05:17,400 has led them to a suspect. 97 00:05:17,433 --> 00:05:22,666 ♪ 98 00:05:22,700 --> 00:05:26,933 It was just really a lot to take in and really shocking. 99 00:05:26,966 --> 00:05:28,900 Every step of what they explained to me 100 00:05:28,933 --> 00:05:29,900 is a horror story. 101 00:05:29,933 --> 00:05:33,933 ♪ 102 00:05:33,966 --> 00:05:36,566 (leaves and branches rustling) 103 00:05:36,600 --> 00:05:38,466 NARRATOR: Chelsea's hopeful search for relatives 104 00:05:38,500 --> 00:05:40,200 has taken a dark turn-- 105 00:05:40,233 --> 00:05:42,766 into the hunt for a killer. 106 00:05:44,066 --> 00:05:48,566 Someone she's related to. 107 00:05:51,000 --> 00:05:53,400 Though her story is unusual, it shows that 108 00:05:53,433 --> 00:05:55,766 consumer DNA companies can fulfill 109 00:05:55,800 --> 00:05:58,366 one of their biggest promises 110 00:05:58,400 --> 00:06:01,666 extremely well: connecting us to our relatives. 111 00:06:01,700 --> 00:06:05,933   ♪ 112 00:06:05,966 --> 00:06:08,200 Direct-to-consumer, 113 00:06:08,233 --> 00:06:10,466 or DTC DNA testing, 114 00:06:10,500 --> 00:06:12,533 is a billion-dollar business 115 00:06:12,566 --> 00:06:15,733 made possible by the simple rules of heredity. 116 00:06:15,766 --> 00:06:17,900 CECE MOORE: We inherit our DNA 117 00:06:17,933 --> 00:06:20,033 from both of our parents. 118 00:06:20,066 --> 00:06:22,900 50% from mom, 50% from dad. 119 00:06:22,933 --> 00:06:25,466 And they inherit it from their parents. 120 00:06:25,500 --> 00:06:28,833 And their parents, of course, inherited it from their parents. 121 00:06:28,866 --> 00:06:34,033 NARRATOR: Our parents each contribute about 50% to our DNA. 122 00:06:34,066 --> 00:06:38,266 And the same is true for them and their parents. 123 00:06:38,300 --> 00:06:41,600 So the amount of DNA we inherit from any ancestor 124 00:06:41,633 --> 00:06:46,066 drops by half with each preceding generation. 125 00:06:46,100 --> 00:06:49,933 We also share DNA with anyone who shares a common ancestor 126 00:06:49,966 --> 00:06:54,366 with us: siblings, half-siblings, first cousins, 127 00:06:54,400 --> 00:06:56,533 second cousins and so on. 128 00:06:56,566 --> 00:07:00,300 ♪ 129 00:07:00,333 --> 00:07:03,400 The way that the DTCs determine those relationships 130 00:07:03,433 --> 00:07:06,066 is by comparing people's DNA. 131 00:07:06,100 --> 00:07:09,166 The amount that is shared is measured in a unit 132 00:07:09,200 --> 00:07:12,733 called centimorgans. 133 00:07:12,766 --> 00:07:14,166 The more centimorgans two people share, 134 00:07:14,200 --> 00:07:16,166 the closer they are related. 135 00:07:16,200 --> 00:07:18,533 And the fewer centimorgans they share, 136 00:07:18,566 --> 00:07:20,933 the more distantly related they are. 137 00:07:22,200 --> 00:07:25,500 NARRATOR: But with the DTCs, a relationship to someone 138 00:07:25,533 --> 00:07:29,833 can't always be determined just by counting centimorgans. 139 00:07:29,866 --> 00:07:32,733 Because the numbers fall within ranges. 140 00:07:32,766 --> 00:07:35,400 You might share the same number with a cousin, 141 00:07:35,433 --> 00:07:37,900 and a great-uncle, for example. 142 00:07:37,933 --> 00:07:40,366 Just because you have an amount of shared DNA doesn't mean 143 00:07:40,400 --> 00:07:45,300 you actually know for sure what that person's relationship is, 144 00:07:45,333 --> 00:07:46,733 it's just a probability-- 145 00:07:46,766 --> 00:07:49,633 a spectrum of possible relationships. 146 00:07:51,100 --> 00:07:55,766 NARRATOR: June Smith lives in New Jersey, not far from Philadelphia. 147 00:07:55,800 --> 00:07:59,633 In 2018, she takes a consumer DNA test, 148 00:07:59,666 --> 00:08:03,666 hoping to solve a longstanding mystery. 149 00:08:03,700 --> 00:08:08,933 She's spent years searching for her roots. 150 00:08:08,966 --> 00:08:11,633 When June was 16, growing up in Philadelphia, 151 00:08:11,666 --> 00:08:16,600 the woman she knew as her mother revealed a secret. 152 00:08:16,633 --> 00:08:20,866 She said, "Your mother was a white woman," 153 00:08:20,900 --> 00:08:22,933 and I said, "A white woman?" 154 00:08:22,966 --> 00:08:25,200 which was totally shocking to me. 155 00:08:25,233 --> 00:08:30,266 Her biological mother's name was Ann D'Amico. 156 00:08:30,300 --> 00:08:34,033 June has never learned the identity of her father. 157 00:08:34,066 --> 00:08:37,366 When June takes her test 158 00:08:37,400 --> 00:08:39,600 with AncestryDNA, she checks the box 159 00:08:39,633 --> 00:08:43,033 asking to be linked to any customers with whom 160 00:08:43,066 --> 00:08:46,233 she shares DNA. 161 00:08:46,266 --> 00:08:49,333 Though she knows Ann has died, 162 00:08:49,366 --> 00:08:53,833 there's someone else she desperately wants to find. 163 00:08:53,866 --> 00:08:57,800 While digging into Ann's life story, June learned that 164 00:08:57,833 --> 00:09:01,766 she'd given birth to another biracial daughter, 165 00:09:01,800 --> 00:09:03,966 who had a different father. 166 00:09:04,000 --> 00:09:07,033 A girl named Joan Moser, 167 00:09:07,066 --> 00:09:09,766 June's older half-sister. 168 00:09:09,800 --> 00:09:11,733 I set out to search for her. 169 00:09:11,766 --> 00:09:13,866 And I would go on websites, I would do 170 00:09:13,900 --> 00:09:17,533 all kind of people searches looking for Joan Moser. 171 00:09:17,566 --> 00:09:20,800 But we could never come up with her. 172 00:09:20,833 --> 00:09:24,533 NARRATOR: One day, June receives a message on her Ancestry page, 173 00:09:24,566 --> 00:09:27,300 telling her she has a new match 174 00:09:27,333 --> 00:09:29,066 with a close relative-- 175 00:09:29,100 --> 00:09:33,333 a woman named Sigrid Gilchrist. 176 00:09:33,366 --> 00:09:35,200 She'd also grown up in Philadelphia, 177 00:09:35,233 --> 00:09:36,966 the only child of a Black couple 178 00:09:37,000 --> 00:09:39,933 active in the civil rights movement. 179 00:09:41,900 --> 00:09:45,300 But at 16, Sigrid learned a long-hidden truth 180 00:09:45,333 --> 00:09:47,966 from her mother. 181 00:09:48,000 --> 00:09:50,566 She told me I was adopted. 182 00:09:50,600 --> 00:09:54,433 That my mother was Italian and my father was Black. 183 00:09:54,466 --> 00:09:56,733 It was crushing. 184 00:09:56,766 --> 00:09:58,566 I had no idea. 185 00:09:58,600 --> 00:10:01,100 NARRATOR: In the years that followed, 186 00:10:01,133 --> 00:10:02,366 Sigrid never connected 187 00:10:02,400 --> 00:10:05,033 with any of her biological relatives. 188 00:10:05,066 --> 00:10:09,333 Until, by pure chance, right around the time 189 00:10:09,366 --> 00:10:14,033 that June tests with Ancestry, Sigrid does too. 190 00:10:14,066 --> 00:10:16,633 Ancestry reports that the two women, 191 00:10:16,666 --> 00:10:22,066 who share 1,641 centimorgans, may be first cousins. 192 00:10:22,100 --> 00:10:25,100 But June can't help wondering: 193 00:10:25,133 --> 00:10:29,533 might Sigrid be someone even closer? 194 00:10:32,066 --> 00:10:33,066 The two women agree 195 00:10:33,100 --> 00:10:35,333 to talk on the phone. 196 00:10:35,366 --> 00:10:38,066 She said, "I have three questions to ask you." 197 00:10:38,100 --> 00:10:39,533 I said, "Okay." 198 00:10:39,566 --> 00:10:41,933 I said, "Were you adopted?" 199 00:10:41,966 --> 00:10:44,966 She said, "I was." 200 00:10:45,000 --> 00:10:47,500 I said, "Are you biracial?" 201 00:10:47,533 --> 00:10:49,866 She said, "I am." 202 00:10:49,900 --> 00:10:53,700 I said, "Would your birth mother name happen to be Ann D'Amico?" 203 00:10:53,733 --> 00:10:58,000 I said, "Yes, that was her name, my biological mother." 204 00:10:58,033 --> 00:11:00,733 She said, "Are you Joan Moser?" 205 00:11:00,766 --> 00:11:04,300 And then I said, "That was the name on my birth certificate." 206 00:11:04,333 --> 00:11:07,766 I said, "Oh my God, you're my sister. 207 00:11:07,800 --> 00:11:09,833 You're not my cousin." 208 00:11:09,866 --> 00:11:12,366 We cried and I just couldn't believe it. 209 00:11:12,400 --> 00:11:15,733 I was on the phone with my older sister. 210 00:11:18,666 --> 00:11:20,566 Yes. 211 00:11:20,600 --> 00:11:24,966 JOHNSON: It was just like we've known each other forever. 212 00:11:25,000 --> 00:11:29,833 One-on-one spirit feeling that you can't describe. 213 00:11:29,866 --> 00:11:33,033 ♪ 214 00:11:33,066 --> 00:11:35,100 SMITH: Finding my sister gave me 215 00:11:35,133 --> 00:11:38,633 a sense of belonging. 216 00:11:38,666 --> 00:11:42,133 It gave me a sense of saying, 217 00:11:42,166 --> 00:11:44,333 "Hey, you know, we got the same blood." 218 00:11:44,366 --> 00:11:46,100 But I do see... 219 00:11:46,133 --> 00:11:47,366 Looks like me....you. 220 00:11:47,400 --> 00:11:48,666 Yes. Mm-hmm. 221 00:11:48,700 --> 00:11:50,833 Look at the chin.Yeah. I can tell. 222 00:11:50,866 --> 00:11:53,900 It's good havingan older sister. 223 00:11:53,933 --> 00:11:56,400   I don't like being older, but it's okay. 224 00:11:56,433 --> 00:12:01,600 (laughing): I love having a younger sister. 225 00:12:01,633 --> 00:12:02,966 She understands. 226 00:12:03,000 --> 00:12:04,466 Yeah, yeah. 227 00:12:04,500 --> 00:12:07,100 ♪ 228 00:12:07,133 --> 00:12:09,166 NARRATOR: People like Sigrid and June 229 00:12:09,200 --> 00:12:11,766 can be connected by the DTCs 230 00:12:11,800 --> 00:12:16,766 thanks to an amazing recent discovery about DNA. 231 00:12:16,800 --> 00:12:21,100 We've known for a long time that the DNA molecule, 232 00:12:21,133 --> 00:12:24,700 which we carry in almost every cell in our body, 233 00:12:24,733 --> 00:12:29,200 contains the code that directs our lives. 234 00:12:29,233 --> 00:12:34,766 The code is carried in chemical building blocks called bases. 235 00:12:34,800 --> 00:12:38,166 Known as A, C, G and T, 236 00:12:38,200 --> 00:12:41,666 they form pairs to create the familiar ladder-like 237 00:12:41,700 --> 00:12:44,433 structure of DNA. 238 00:12:44,466 --> 00:12:47,933 It takes a whopping three billion of those base pairs 239 00:12:47,966 --> 00:12:51,766 to make up our complete genome. 240 00:12:51,800 --> 00:12:53,566 But since 2003, 241 00:12:53,600 --> 00:12:57,333 when scientists first read through all of those base pairs, 242 00:12:57,366 --> 00:13:00,333 they've discovered a surprising fact 243 00:13:00,366 --> 00:13:03,266 about more than 99% of them. 244 00:13:03,300 --> 00:13:05,466 If you look at any two people, 245 00:13:05,500 --> 00:13:10,266 the vast, vast majority of their DNA is exactly the same. 246 00:13:10,300 --> 00:13:13,900 Because all of the things that keep you alive, 247 00:13:13,933 --> 00:13:16,233 I mean, all of that has to be the same, it can't change. 248 00:13:16,266 --> 00:13:17,833 Otherwise it doesn't work. 249 00:13:17,866 --> 00:13:19,300 ♪ 250 00:13:19,333 --> 00:13:22,166 NARRATOR: But there are places in our DNA that do vary. 251 00:13:22,200 --> 00:13:23,366 Some of them are called 252 00:13:23,400 --> 00:13:29,200 single nucleotide polymorphisms, or SNPs. 253 00:13:29,233 --> 00:13:32,400 They're spots where most of us have one kind of base pair 254 00:13:32,433 --> 00:13:35,966 but some of us have another. 255 00:13:36,000 --> 00:13:39,533 So instead of trying to identify all three billion 256 00:13:39,566 --> 00:13:41,833 of a customer's base pairs, 257 00:13:41,866 --> 00:13:43,600 the DTCs do something 258 00:13:43,633 --> 00:13:45,966 that's cheaper and faster. 259 00:13:46,000 --> 00:13:48,666 They only check out a customer's SNPs. 260 00:13:48,700 --> 00:13:52,766 Usually about 700,000 of them. 261 00:13:52,800 --> 00:13:56,700 And comparing people's SNPs is an efficient way 262 00:13:56,733 --> 00:13:58,633 to see if they're related. 263 00:13:58,666 --> 00:14:00,333 Because when their SNPs match up, 264 00:14:00,366 --> 00:14:05,366 all the DNA in between the SNPs is usually identical too. 265 00:14:05,400 --> 00:14:07,300 And matching DNA segments 266 00:14:07,333 --> 00:14:12,566 are the telltale signs of a family relationship. 267 00:14:12,600 --> 00:14:15,966 BOLNICK: By looking at the amount of shared DNA, 268 00:14:16,000 --> 00:14:19,933 direct-to-consumer tests can give a quite accurate picture 269 00:14:19,966 --> 00:14:24,400 of relationships between individuals. 270 00:14:24,433 --> 00:14:29,900 NARRATOR: FamilyTreeDNA in Houston is one of the four biggest DTCs. 271 00:14:31,100 --> 00:14:34,900 Like many of them, the lynchpin of its operation 272 00:14:34,933 --> 00:14:37,466 is its technology for reading SNPs. 273 00:14:37,500 --> 00:14:43,600 And this is it: a small piece of glass called a SNP chip. 274 00:14:43,633 --> 00:14:47,966 It contains hundreds of thousands of tiny beads. 275 00:14:48,000 --> 00:14:52,766 Each one holds a short piece of DNA called a probe. 276 00:14:52,800 --> 00:14:56,300 And we put an individual's DNA on the chip, 277 00:14:56,333 --> 00:15:00,166 and the part of an individual's DNA 278 00:15:00,200 --> 00:15:03,133 that matches the little probe, 279 00:15:03,166 --> 00:15:05,100 they will bind together. 280 00:15:05,133 --> 00:15:08,200 NARRATOR: Once bound, the identity of the SNP 281 00:15:08,233 --> 00:15:10,766 is revealed by a fluorescent dye. 282 00:15:10,800 --> 00:15:15,633 For example, if you have an A, you'll see green. 283 00:15:15,666 --> 00:15:18,500 If you have a G, you'll see red. 284 00:15:18,533 --> 00:15:20,933 (machinery whirring) 285 00:15:20,966 --> 00:15:25,033 NARRATOR: The SNP data enables the lab to see how much DNA is shared 286 00:15:25,066 --> 00:15:29,066 by customers who've opted for family matching. 287 00:15:29,100 --> 00:15:32,900 The company website shows them their list of matches. 288 00:15:32,933 --> 00:15:37,133 BORMANS: It will show everyone that you're related to, 289 00:15:37,166 --> 00:15:39,366 and the estimated relationship. 290 00:15:39,400 --> 00:15:42,133 ♪ 291 00:15:42,166 --> 00:15:47,266 NARRATOR: But sometimes, that match list can reveal a painful truth. 292 00:15:47,300 --> 00:15:48,900 ♪ 293 00:15:48,933 --> 00:15:53,000 This anonymity and taking these secrets to the grave, 294 00:15:53,033 --> 00:15:57,266 with the advent of DNA testing, it really doesn't exist anymore. 295 00:15:57,300 --> 00:16:03,133 NARRATOR: That's what Dani Shapiro was shocked to discover. 296 00:16:03,166 --> 00:16:04,833 A novelist and memoirist, 297 00:16:04,866 --> 00:16:08,233 she's written about growing up in an Orthodox Jewish family 298 00:16:08,266 --> 00:16:09,266 in New Jersey, 299 00:16:09,300 --> 00:16:13,433 and about her parents, Irene and Paul. 300 00:16:13,466 --> 00:16:15,633 I was very, very bonded with my dad-- 301 00:16:15,666 --> 00:16:17,333 much more so than with my mom. 302 00:16:17,366 --> 00:16:20,866 He worked on the floor of the New York Stock Exchange. 303 00:16:20,900 --> 00:16:22,900 And I would meet him for lunch sometimes. 304 00:16:22,933 --> 00:16:25,033 And he would come out and he would just like 305 00:16:25,066 --> 00:16:27,700 fling his arms open, just like, 306 00:16:27,733 --> 00:16:30,866 (voice breaking): "Hiya darling," give me this huge hug. 307 00:16:30,900 --> 00:16:32,266 It's going to make me cry. 308 00:16:32,300 --> 00:16:35,700 I loved my father. 309 00:16:35,733 --> 00:16:37,800 NARRATOR: From childhood on, 310 00:16:37,833 --> 00:16:40,666 this Jewish daughter draws comments. 311 00:16:40,700 --> 00:16:42,100 SHAPIRO: "You don't look Jewish." 312 00:16:42,133 --> 00:16:43,133 "You can't possibly be Jewish." 313 00:16:43,166 --> 00:16:44,500 "There's no way you're Jewish." 314 00:16:44,533 --> 00:16:46,600 "Did your mother have an affair with a Swedish milkman?" 315 00:16:46,633 --> 00:16:47,966 "Shapiro your married name?" 316 00:16:48,000 --> 00:16:49,366 I could go on. 317 00:16:49,400 --> 00:16:54,000 NARRATOR: One day in 2016, her husband, Michael Maren, 318 00:16:54,033 --> 00:16:58,266 decides to take a DNA test from Ancestry. 319 00:16:58,300 --> 00:17:02,633 Without thinking about it much, Dani decides to take one too. 320 00:17:02,666 --> 00:17:06,400 She knows that both of her parents are of Ashkenazi, 321 00:17:06,433 --> 00:17:10,633 or eastern European Jewish, descent. 322 00:17:10,666 --> 00:17:14,766 Several weeks later they get their results. 323 00:17:14,800 --> 00:17:18,300 SHAPIRO: We open them, and he's like, "Huh. 324 00:17:18,333 --> 00:17:20,033 "According to this, you're about 50-50, 325 00:17:20,066 --> 00:17:22,866 "Eastern European Ashkenazi 326 00:17:22,900 --> 00:17:25,333 "and the rest is all Western European-- 327 00:17:25,366 --> 00:17:28,733 French, Irish, English, Swedish, German." 328 00:17:28,766 --> 00:17:33,900 My only response was, "Oh, well they must've made a mistake." 329 00:17:33,933 --> 00:17:37,566 It was only a few days later, my husband came in 330 00:17:37,600 --> 00:17:40,133 and he said, "You have a first cousin 331 00:17:40,166 --> 00:17:42,200 "on your Ancestry.com page. 332 00:17:42,233 --> 00:17:44,066 "A first cousin who we don't know, we don't, 333 00:17:44,100 --> 00:17:45,666 we don't know this first cousin." 334 00:17:45,700 --> 00:17:50,133 NARRATOR: In search of clues, Dani turns to someone she's sure 335 00:17:50,166 --> 00:17:52,400   is a blood relative. 336 00:17:52,433 --> 00:17:53,633 SHAPIRO: I have a much older half-sister 337 00:17:53,666 --> 00:17:56,666 from a first marriage of my dad's. 338 00:17:56,700 --> 00:17:58,366 I recalled that 339 00:17:58,400 --> 00:18:00,800 a number of years ago she had done I think 23andMe. 340 00:18:00,833 --> 00:18:03,666 And I sent her an email and I said, 341 00:18:03,700 --> 00:18:08,700 "Do you have your results from, from the DNA test you did?" 342 00:18:08,733 --> 00:18:10,900 And she did and she sent them to me. 343 00:18:10,933 --> 00:18:14,400 NARRATOR: Dani gives the half-sister's file to her husband. 344 00:18:14,433 --> 00:18:19,566 Using GEDmatch, he checks to see how much DNA she and Dani share 345 00:18:19,600 --> 00:18:22,833 and discovers the truth. 346 00:18:22,866 --> 00:18:24,966 He said, "You're not sisters." 347 00:18:25,000 --> 00:18:28,866 And I said, "Not, not half-sisters?" 348 00:18:28,900 --> 00:18:30,500 'Cause that's what we were. 349 00:18:30,533 --> 00:18:32,200 And he said, "No kind of sisters. 350 00:18:32,233 --> 00:18:33,366 You're not related." 351 00:18:33,400 --> 00:18:34,900 ♪ 352 00:18:34,933 --> 00:18:37,700 And so that was the moment for me when all of the pieces 353 00:18:37,733 --> 00:18:41,166 began to just click into place where I thought, 354 00:18:41,200 --> 00:18:45,900 "Well, if he's not one of our fathers, he's not my father." 355 00:18:45,933 --> 00:18:47,966 ♪ 356 00:18:48,000 --> 00:18:50,800 Something very, very important was kept from me. 357 00:18:50,833 --> 00:18:56,733 And it felt to me like my identity was... um... 358 00:18:56,766 --> 00:18:58,700 in pieces. 359 00:19:00,366 --> 00:19:02,566 NARRATOR: Her parents are both deceased. 360 00:19:02,600 --> 00:19:05,633 But she remembers her mother once saying she had a hard time 361 00:19:05,666 --> 00:19:08,000   getting pregnant, 362 00:19:08,033 --> 00:19:12,266 and mentioning a fertility clinic in Philadelphia. 363 00:19:12,300 --> 00:19:15,133 Dani and her husband track down the first cousin 364 00:19:15,166 --> 00:19:17,833 who popped up on Ancestry. 365 00:19:17,866 --> 00:19:23,700 His uncle turns out to be Dani's biological father. 366 00:19:23,733 --> 00:19:27,900 A retired doctor, he'd gone to medical school in Philadelphia, 367 00:19:27,933 --> 00:19:30,766 and had been a sperm donor at the clinic. 368 00:19:32,100 --> 00:19:33,633 She searches the internet, 369 00:19:33,666 --> 00:19:36,666 and sees a video of him giving a talk. 370 00:19:36,700 --> 00:19:38,166 SHAPIRO: I knew what I was seeing. 371 00:19:38,200 --> 00:19:41,366 And I remember getting up and walking into the bathroom, 372 00:19:41,400 --> 00:19:43,866 and looking at my face in the mirror for the first time 373 00:19:43,900 --> 00:19:46,600   after seeing him, 374 00:19:46,633 --> 00:19:49,466 and understanding my face for the first time in my life. 375 00:19:49,500 --> 00:19:53,833 NARRATOR: Dani feels compelled to write a new book 376 00:19:53,866 --> 00:19:58,033 about family, identity, and her own experience. 377 00:19:58,066 --> 00:20:02,000 Its title: "Inheritance." 378 00:20:02,033 --> 00:20:04,133 My book is dedicated to my father. 379 00:20:04,166 --> 00:20:08,700 And sometimes someone will say to me, "Which father"? 380 00:20:08,733 --> 00:20:10,633 And I'm like, "Are you kidding?" 381 00:20:10,666 --> 00:20:14,566 My mother wanted to bear a child. 382 00:20:14,600 --> 00:20:19,500 And I think it must really not have been easy for my father 383 00:20:19,533 --> 00:20:22,433 to have gotten to this place where he was 384 00:20:22,466 --> 00:20:26,633 willing to genetically replace himself. 385 00:20:26,666 --> 00:20:28,766 That's what that is. 386 00:20:28,800 --> 00:20:32,200 It's saying one of us is going to be the biological parent 387 00:20:32,233 --> 00:20:34,700 of this child and one of us is not. 388 00:20:34,733 --> 00:20:39,266 And no one's ever gonna know except for us. 389 00:20:39,300 --> 00:20:44,466 ♪ 390 00:20:44,500 --> 00:20:46,466 NARRATOR: Dani is far from alone. 391 00:20:46,500 --> 00:20:49,900 According to one estimate, some one million people 392 00:20:49,933 --> 00:20:52,733 have discovered from consumer DNA tests 393 00:20:52,766 --> 00:20:55,333 that the man who raised them 394 00:20:55,366 --> 00:20:57,200 is not their biological father. 395 00:20:57,233 --> 00:21:01,400 Or that they have a half-sibling they never knew about. 396 00:21:02,533 --> 00:21:05,266 And there are even darker secrets that sometimes 397 00:21:05,300 --> 00:21:08,133 come to light. 398 00:21:08,166 --> 00:21:10,700 In Washington State, in 2018, 399 00:21:10,733 --> 00:21:15,200 the secret that Chelsea Rustad's DNA helps to reveal 400 00:21:15,233 --> 00:21:16,700 could be the key 401 00:21:16,733 --> 00:21:21,800 to cracking a 31-year-old cold case. 402 00:21:21,833 --> 00:21:24,000 It's really upsetting, very distressing to think about. 403 00:21:24,033 --> 00:21:27,400 Only a monster could do such things to people. 404 00:21:29,066 --> 00:21:32,166 NARRATOR: On November 18, 1987, 405 00:21:32,200 --> 00:21:34,400 two young Canadians-- 406 00:21:34,433 --> 00:21:36,800 Jay Cook, 20 years old, 407 00:21:36,833 --> 00:21:40,933 and his girlfriend, Tanya van Cuylenborg, 18-- 408 00:21:40,966 --> 00:21:45,800 leave their hometown, a suburb of Victoria, British Columbia, 409 00:21:45,833 --> 00:21:51,533 heading to Seattle, to run an errand for Jay's dad. 410 00:21:51,566 --> 00:21:56,600 Six days later, Tanya's partially clothed body 411 00:21:56,633 --> 00:21:58,333 is found by the side of this road 412 00:21:58,366 --> 00:22:00,733 in Skagit County, Washington. 413 00:22:02,000 --> 00:22:03,733 She's been shot in the head. 414 00:22:03,766 --> 00:22:07,266 And there's evidence of rape. 415 00:22:07,300 --> 00:22:10,600 Two days after that, some 65 miles away 416 00:22:10,633 --> 00:22:13,566 in Snohomish County, beneath this bridge, 417 00:22:13,600 --> 00:22:17,900 hunters find Jay's body. 418 00:22:17,933 --> 00:22:19,000 He's been strangled 419 00:22:19,033 --> 00:22:21,266 with twine and dog collars... 420 00:22:21,300 --> 00:22:24,433 his head beaten with rocks. 421 00:22:24,466 --> 00:22:28,166 We had two young totally innocent kids 422 00:22:28,200 --> 00:22:32,133 that got kidnapped and brutally murdered. 423 00:22:32,166 --> 00:22:36,600 NARRATOR: During the investigation, police recover 424 00:22:36,633 --> 00:22:40,600 potentially precious evidence from Tanya's body: 425 00:22:40,633 --> 00:22:43,866 the assailant's DNA. 426 00:22:43,900 --> 00:22:47,200 They will run it through a lab procedure that is still 427 00:22:47,233 --> 00:22:51,266 the gold standard for proving identity with DNA. 428 00:22:51,300 --> 00:22:55,766 It zeroes in on just 20 or so places in the genome 429 00:22:55,800 --> 00:23:00,800 where a short string of letters, for example G-A-T-A, 430 00:23:00,833 --> 00:23:02,700 just keeps on repeating. 431 00:23:02,733 --> 00:23:08,433 They're called short tandem repeats, or STRs. 432 00:23:08,466 --> 00:23:09,766 And scientists can count 433 00:23:09,800 --> 00:23:13,566 the number of times they repeat. 434 00:23:13,600 --> 00:23:15,566 STEVEN ARMENTROUT: And those counts vary person to person 435 00:23:15,600 --> 00:23:18,300 just like the ridge lines on a fingerprint. 436 00:23:18,333 --> 00:23:21,766 It's a very powerful technique because with enough locations, 437 00:23:21,800 --> 00:23:25,100 you can do an identity match with very high probability 438 00:23:25,133 --> 00:23:26,900 because of these slight differences one person 439 00:23:26,933 --> 00:23:28,100 to the next. 440 00:23:29,300 --> 00:23:31,566 NARRATOR: But like a crime scene fingerprint, 441 00:23:31,600 --> 00:23:35,033 a crime scene STR profile is only useful 442 00:23:35,066 --> 00:23:38,200 if it matches one that's already in the possession 443 00:23:38,233 --> 00:23:41,133 of law enforcement. 444 00:23:41,166 --> 00:23:43,666 For decades, the profile in this case 445 00:23:43,700 --> 00:23:48,866 doesn't match anyone known to the police. 446 00:23:48,900 --> 00:23:53,133 The case goes cold. 447 00:23:53,166 --> 00:23:55,100 Until the day when Chelsea Rustad 448 00:23:55,133 --> 00:23:59,700 uploads a DNA file to GEDmatch, 449 00:23:59,733 --> 00:24:01,400 where it becomes a clue 450 00:24:01,433 --> 00:24:04,366 that will eventually lead the police to a major break 451 00:24:04,400 --> 00:24:06,866 in the case. 452 00:24:06,900 --> 00:24:10,200 (sirens blaring, radio chatter) 453 00:24:10,233 --> 00:24:15,200 Chelsea's experience will make headlines. 454 00:24:15,233 --> 00:24:18,166 But most DNA test-takers just want to know, 455 00:24:18,200 --> 00:24:21,066 "What are my roots?" 456 00:24:21,100 --> 00:24:24,600 A seemingly simple question that often leads to its own 457 00:24:24,633 --> 00:24:27,033 set of mysteries. 458 00:24:27,066 --> 00:24:29,766 BESSIE LAWTON: Don't open anything until we ask you to. 459 00:24:29,800 --> 00:24:33,766 NARRATOR: These 14 people are about to experience 460 00:24:33,800 --> 00:24:36,666 DNA ancestry testing for themselves. 461 00:24:36,700 --> 00:24:38,800 'Cause there are so many kids I'm growing up with 462 00:24:38,833 --> 00:24:40,733 who are all in the same situation. 463 00:24:40,766 --> 00:24:42,466 We don't know our heritage. 464 00:24:42,500 --> 00:24:43,866 We could probably safely assume 465 00:24:43,900 --> 00:24:46,833 that our ancestors' ancestors had something to do 466 00:24:46,866 --> 00:24:48,600 with like slavery and things like that. 467 00:24:48,633 --> 00:24:51,766 But we don't really know where we came from. 468 00:24:51,800 --> 00:24:55,233 NARRATOR: Cherry Richardson is taking part in a research study 469 00:24:55,266 --> 00:24:58,633 at West Chester University in Pennsylvania. 470 00:24:58,666 --> 00:25:01,766 So we have a research protocol by which we collect data 471 00:25:01,800 --> 00:25:03,433 for this particular project. 472 00:25:03,466 --> 00:25:06,533 NARRATOR: The study is run by two communications professors-- 473 00:25:06,566 --> 00:25:10,266 Bessie Lawton and Anita Foeman. 474 00:25:10,300 --> 00:25:12,533 The question they're asking is: 475 00:25:12,566 --> 00:25:17,000 how does DNA testing affect our understanding of who we are? 476 00:25:17,033 --> 00:25:18,466 And also, our ability 477 00:25:18,500 --> 00:25:20,766 to understand what makes us different? 478 00:25:20,800 --> 00:25:22,366 LAWTON: And after we receive the results, 479 00:25:22,400 --> 00:25:23,466 we bring you together... 480 00:25:23,500 --> 00:25:25,400 The whole idea is to listen to each other 481 00:25:25,433 --> 00:25:26,733 and talk with one another... 482 00:25:26,766 --> 00:25:28,966 NARRATOR: Anita was inspired to start the project 483 00:25:29,000 --> 00:25:31,066 because of her experiences 484 00:25:31,100 --> 00:25:33,033 as a diversity trainer. 485 00:25:33,066 --> 00:25:35,200 FOEMAN: I thought looking at our DNA 486 00:25:35,233 --> 00:25:38,966 was a really interesting way to approach this whole conversation 487 00:25:39,000 --> 00:25:42,800 about race and diversity in a way that was not going 488 00:25:42,833 --> 00:25:44,366 to make people defensive. 489 00:25:44,400 --> 00:25:45,500 And that has happened. 490 00:25:45,533 --> 00:25:47,766 We don't identify ourselves with Africa. 491 00:25:47,800 --> 00:25:49,100 We just say we're Black. 492 00:25:49,133 --> 00:25:50,200 You know, we literally 493 00:25:50,233 --> 00:25:52,066 separated from that which we came from. 494 00:25:52,100 --> 00:25:54,866 NARRATOR: In a previous test with Ancestry, 495 00:25:54,900 --> 00:25:56,233 Tyquine Golden was told 496 00:25:56,266 --> 00:25:58,533 his roots were 80% West African, 497 00:25:58,566 --> 00:26:00,800 and 20% British. 498 00:26:00,833 --> 00:26:02,100 They got everybody. 499 00:26:02,133 --> 00:26:04,233 NARRATOR: In today's test with FamilyTreeDNA, 500 00:26:04,266 --> 00:26:07,366 he hopes to learn more. 501 00:26:07,400 --> 00:26:11,733 My suspicions might lead me to say, somewhere in slavery, 502 00:26:11,766 --> 00:26:17,500 20% might've came in and have been integrated with our DNA. 503 00:26:17,533 --> 00:26:20,166 And that might not have been voluntary. 504 00:26:20,200 --> 00:26:22,700 I think as an African American, it's a tough thing 505 00:26:22,733 --> 00:26:25,300 to grapple with when you think about the origin 506 00:26:25,333 --> 00:26:28,666 of your Caucasian, or white ancestry, 507 00:26:28,700 --> 00:26:31,733 that often happened due to rape and mistreatment. 508 00:26:31,766 --> 00:26:33,066 But it is part of your history. 509 00:26:33,100 --> 00:26:37,800 So you have to confront it on some level and understand it. 510 00:26:37,833 --> 00:26:39,233   It's part of how you got here. 511 00:26:39,266 --> 00:26:41,333 I don't want to hide from the truth. 512 00:26:41,366 --> 00:26:44,900 No matter how bad it could be. 513 00:26:46,500 --> 00:26:48,800 NARRATOR: Now it's time to collect DNA... 514 00:26:48,833 --> 00:26:50,200 LAWTON: You can turn it around 515 00:26:50,233 --> 00:26:51,500 a little bit to capture more. 516 00:26:51,533 --> 00:26:53,433 NARRATOR: ...and ship the samples off to Houston. 517 00:26:56,566 --> 00:27:00,366 So how do DTCs like FamilyTreeDNA come up 518 00:27:00,400 --> 00:27:02,566 with a breakdown of your ancestry? 519 00:27:02,600 --> 00:27:04,233 (machinery whirring) 520 00:27:04,266 --> 00:27:06,700 It's a process that also centers around SNPs-- 521 00:27:06,733 --> 00:27:09,166 those places in our DNA 522 00:27:09,200 --> 00:27:13,966 that most frequently vary between people. 523 00:27:14,000 --> 00:27:16,466 The company compares your SNPs 524 00:27:16,500 --> 00:27:20,600 with those of people in what are called reference groups-- 525 00:27:20,633 --> 00:27:24,100 people alive today whose DNA has been tested 526 00:27:24,133 --> 00:27:26,133 and who share patterns of SNPs 527 00:27:26,166 --> 00:27:27,566 that scientists have found to be 528 00:27:27,600 --> 00:27:30,733 typical for the region in which they live. 529 00:27:31,866 --> 00:27:35,000 Those patterns are compiled into a database. 530 00:27:35,033 --> 00:27:38,100 But how well does it represent test-takers? 531 00:27:39,900 --> 00:27:41,066 FOEMAN: They're telling you 532 00:27:41,100 --> 00:27:43,333 this is your background based on our database. 533 00:27:43,366 --> 00:27:44,933 Well, if something's not in their database, 534 00:27:44,966 --> 00:27:47,466 they can't tell you that it's in your background. 535 00:27:48,766 --> 00:27:50,400 NARRATOR: The DTCs have less data 536 00:27:50,433 --> 00:27:53,633 about people of African and Asian descent than they do 537 00:27:53,666 --> 00:27:57,133 about people of European descent. 538 00:27:57,166 --> 00:28:00,700 Most of the genetic testing that has been done 539 00:28:00,733 --> 00:28:04,300 has been done on North Atlantic Europeans. 540 00:28:04,333 --> 00:28:08,866 So our reference databases are biased. 541 00:28:08,900 --> 00:28:11,100 (bird crowing) 542 00:28:13,666 --> 00:28:15,100 FOEMAN: Why don't we all just take a minute, 543 00:28:15,133 --> 00:28:16,833 and open your results, 544 00:28:16,866 --> 00:28:20,000 and take a look at the map for the first time. 545 00:28:20,033 --> 00:28:23,566 NARRATOR: FamilyTreeDNA has given Nick Pasvanis, 546 00:28:23,600 --> 00:28:26,333 whose parents trace their ancestors to Greece, 547 00:28:26,366 --> 00:28:30,233 Germany, England, and Scotland, a detailed breakdown. 548 00:28:30,266 --> 00:28:33,100 PASVANIS: I'm 45% Southeastern European, 549 00:28:33,133 --> 00:28:36,033 which is aboutwhat I expected. 550 00:28:36,066 --> 00:28:39,700 I've always felt like I was just a general European mutt. 551 00:28:39,733 --> 00:28:42,433 And that's pretty much what the map shows. 552 00:28:42,466 --> 00:28:45,533 RICHARDSON: So, I was wondering when I got it, like, 553 00:28:45,566 --> 00:28:47,466 if it would say if I was Black, 554 00:28:47,500 --> 00:28:50,200 and I am 94% West African, 555 00:28:50,233 --> 00:28:52,700 (chuckling): so, yeah, I'm pretty Black. 556 00:28:52,733 --> 00:28:58,466 NARRATOR: But Cherry Richardson's African bubble provides little detail. 557 00:29:00,666 --> 00:29:03,666 Hana Wiessmann and Viola Wang, 558 00:29:03,700 --> 00:29:05,600 who were both born in China, 559 00:29:05,633 --> 00:29:08,566 have even bigger bubbles. 560 00:29:08,600 --> 00:29:10,866 WIESSMANN: I mean, I have just these giant bubbles, and they're like, 561 00:29:10,900 --> 00:29:13,933 "You're super Asian," like, I kind of already knew that, so... 562 00:29:13,966 --> 00:29:16,700 Basically, people have huge bubbles are considered 563 00:29:16,733 --> 00:29:19,133 "the minorities." 564 00:29:19,166 --> 00:29:22,800 And it's unfortunate because it perpetuates 565 00:29:22,833 --> 00:29:29,066 a kind of Eurocentrism that has tainted our scholarship. 566 00:29:29,100 --> 00:29:32,233 That is a foundation for notions, 567 00:29:32,266 --> 00:29:35,700 false notions of white supremacy. 568 00:29:35,733 --> 00:29:38,233 And it highlights the disparities 569 00:29:38,266 --> 00:29:42,100 that are currently prevalent throughout science 570 00:29:42,133 --> 00:29:44,166 and particularly in genetics. 571 00:29:44,200 --> 00:29:48,466 There's also 23% southeast with Italy and Greece highlighted, 572 00:29:48,500 --> 00:29:50,600 which was never on our radar. 573 00:29:50,633 --> 00:29:55,233 NARRATOR: But there's another problem with the way DTCs calculate ancestry. 574 00:29:55,266 --> 00:29:57,000   MAN: 64% European... 575 00:29:57,033 --> 00:29:59,966 NARRATOR: The DNA of people who lived in a place long ago-- 576 00:30:00,000 --> 00:30:02,066   your ancestors-- 577 00:30:02,100 --> 00:30:04,066 may be different from the DNA of the people 578 00:30:04,100 --> 00:30:08,966 in the reference groups who live there today. 579 00:30:09,000 --> 00:30:11,466 That's because for centuries, people, 580 00:30:11,500 --> 00:30:12,866 and their DNA, 581 00:30:12,900 --> 00:30:16,900 have been moving around the globe. 582 00:30:16,933 --> 00:30:20,200 JACKSON: You really have to get over the hurdle of static thinking 583 00:30:20,233 --> 00:30:22,966 about human populations. 584 00:30:23,000 --> 00:30:26,533 That there are Irish genes, and Italian genes, 585 00:30:26,566 --> 00:30:31,833 and, and Nigerian genes, and Zimbabwean genes 586 00:30:31,866 --> 00:30:35,600 and that's just not the way that human evolution works. 587 00:30:35,633 --> 00:30:38,833 Because static feeds into the racist paradigm, 588 00:30:38,866 --> 00:30:43,966 feeds into the me versus you, you know, us versus them. 589 00:30:44,000 --> 00:30:46,266 ♪ 590 00:30:46,300 --> 00:30:48,366 NARRATOR: And yet it is true that certain 591 00:30:48,400 --> 00:30:51,466 SNP patterns are more prevalent in some places than others. 592 00:30:51,500 --> 00:30:54,266 ♪ 593 00:30:54,300 --> 00:30:55,600 CUNNINGHAM: There are several clues 594 00:30:55,633 --> 00:30:58,266 that can link you back to areas 595 00:30:58,300 --> 00:31:02,600 and specific regions where your ancestors evolved. 596 00:31:02,633 --> 00:31:04,900 The companies are doing the best they can with the data 597 00:31:04,933 --> 00:31:06,333   that they have. 598 00:31:06,366 --> 00:31:10,033 And that's why all the DNA testing companies are trying 599 00:31:10,066 --> 00:31:15,733 to add more discrete populations to their database, 600 00:31:15,766 --> 00:31:22,066 so that when they don't assign your population perfectly, 601 00:31:22,100 --> 00:31:25,100 they're as close as they possibly can be. 602 00:31:25,133 --> 00:31:28,966 NARRATOR: Bessie and Anita are finding that whatever their flaws, 603 00:31:29,000 --> 00:31:34,433 DNA ancestry tests, by making people think about their roots, 604 00:31:34,466 --> 00:31:38,300 can help them to better appreciate human diversity. 605 00:31:38,333 --> 00:31:40,500 ...the north of Africa, Middle East, 606 00:31:40,533 --> 00:31:42,466 the western Europe, but I was... 607 00:31:42,500 --> 00:31:43,866 LAWTON: It makes people think of 608 00:31:43,900 --> 00:31:49,200 their stories in relation to other people in the whole story 609 00:31:49,233 --> 00:31:50,733 of human migration. 610 00:31:50,766 --> 00:31:54,500 Most people have felt this to be a positive experience. 611 00:31:54,533 --> 00:31:58,333 NARRATOR: Tyquine Golden's results from FamilyTreeDNA 612 00:31:58,366 --> 00:31:59,500 are very close 613 00:31:59,533 --> 00:32:02,000 to those he received from Ancestry. 614 00:32:02,033 --> 00:32:03,200 GOLDEN: Can't ignore it now. (chuckles) 615 00:32:03,233 --> 00:32:04,900 The whole, like, 616 00:32:04,933 --> 00:32:08,866 Ireland and U.K. part of the DNA. 617 00:32:08,900 --> 00:32:10,400 FOEMAN: Let me ask, do you think you're 618 00:32:10,433 --> 00:32:13,100 as authentically Black as she is? 619 00:32:13,133 --> 00:32:14,866 I don't think it makes a difference. 620 00:32:14,900 --> 00:32:16,500 FOEMAN: They sat there 621 00:32:16,533 --> 00:32:19,366 and had a conversation about race 622 00:32:19,400 --> 00:32:23,666 that was fun and exciting and joining. 623 00:32:23,700 --> 00:32:25,133 And if that can happen 624 00:32:25,166 --> 00:32:28,566 more and more, what are the possibilities? 625 00:32:28,600 --> 00:32:31,733 ♪ 626 00:32:31,766 --> 00:32:35,233 NARRATOR: But as difficult as determining ancestry may be, 627 00:32:35,266 --> 00:32:38,866 the toughest challenge the DTCs are taking on 628 00:32:38,900 --> 00:32:43,400 may be assessing our genetic disease risks. 629 00:32:43,433 --> 00:32:44,766 Because when it comes to the accuracy 630 00:32:44,800 --> 00:32:50,400 of those tests, the stakes couldn't be higher. 631 00:32:50,433 --> 00:32:52,633 We all face the risk of developing 632 00:32:52,666 --> 00:32:55,200 life-threatening diseases. 633 00:32:55,233 --> 00:32:56,666 But some of us face 634 00:32:56,700 --> 00:33:06,900 a greater risk because of variations in our genes-- 635 00:33:06,933 --> 00:33:08,333 that form the genetic code 636 00:33:08,366 --> 00:33:10,633 for making proteins, 637 00:33:10,666 --> 00:33:14,200 the critical molecules that keep our bodies working. 638 00:33:14,233 --> 00:33:16,966 It is hard to believe that a single letter change 639 00:33:17,000 --> 00:33:19,133 could affect a human being so profoundly 640 00:33:19,166 --> 00:33:22,000 among this huge string of three billion letters. 641 00:33:22,033 --> 00:33:25,000 But then you get those critical places 642 00:33:25,033 --> 00:33:27,766 where if you've made that specific change, 643 00:33:27,800 --> 00:33:30,866 the protein simply doesn't work anymore. 644 00:33:30,900 --> 00:33:34,700 NARRATOR: Several of the DTCs now offer testing 645 00:33:34,733 --> 00:33:37,300 for genetic health risks. 646 00:33:37,333 --> 00:33:40,233 But how reliable are they? 647 00:33:40,266 --> 00:33:41,966 Most of those tests 648 00:33:42,000 --> 00:33:52,866 look only at selected SNPs and ignore the rest of the genome, 649 00:33:52,900 --> 00:33:57,100 where other risks 23andMe's controversial teste: 650 00:33:57,133 --> 00:34:00,000 for breast cancer risk. 651 00:34:00,033 --> 00:34:03,433 It looks at two genes called B-R-C-A, 652 00:34:03,466 --> 00:34:06,066 or "bra-ka" genes. 653 00:34:06,100 --> 00:34:10,100 They code for proteins that control cell growth. 654 00:34:10,133 --> 00:34:12,433 But certain base pair variations 655 00:34:12,466 --> 00:34:14,133 derail the BRCA genes, 656 00:34:14,166 --> 00:34:18,200 and make some cancers-- such as pancreatic, 657 00:34:18,233 --> 00:34:23,233 prostate, and especially ovarian and breast cancer-- more likely. 658 00:34:23,266 --> 00:34:28,966 Scientists have documented close to 4,000 such variations. 659 00:34:29,000 --> 00:34:34,900 23andMe sells a SNP test that looks for three of them. 660 00:34:34,933 --> 00:34:39,066 They're among the variations that put women at very high risk 661 00:34:39,100 --> 00:34:40,700   for breast cancer. 662 00:34:40,733 --> 00:34:44,600 Each can be reliably detected by SNP testing. 663 00:34:44,633 --> 00:34:48,366 And each is ten times more common in women who have 664 00:34:48,400 --> 00:34:52,433 Ashkenazi Jewish ancestry. 665 00:34:52,466 --> 00:34:57,633 Jessica Algazi, a 52-year-old entertainment lawyer 666 00:34:57,666 --> 00:35:02,100 in Los Angeles, has three Ashkenazi grandparents. 667 00:35:03,466 --> 00:35:08,233 In 2018, she takes the 23andMe BRCA test, 668 00:35:08,266 --> 00:35:11,866 having no idea it will change her life. 669 00:35:11,900 --> 00:35:16,166 One day, when she's playing golf, she gets an email. 670 00:35:16,200 --> 00:35:19,200 ALGAZI: I get the results as I'm sitting on a golf course 671 00:35:19,233 --> 00:35:22,933 in a golf cart and I looked down and like, "Oh my God, 672 00:35:22,966 --> 00:35:24,366 I can't believe this." 673 00:35:24,400 --> 00:35:27,433 NARRATOR: 23andMe reports that she has 674 00:35:27,466 --> 00:35:30,900 a BRCA 1 variation that makes it highly likely 675 00:35:30,933 --> 00:35:34,333 she will develop ovarian or breast cancer. 676 00:35:34,366 --> 00:35:37,400 A second test by a DNA lab 677 00:35:37,433 --> 00:35:41,300 that specializes in BRCA testing confirms it. 678 00:35:41,333 --> 00:35:44,166 Although she is cancer-free for now, 679 00:35:44,200 --> 00:35:46,100 she makes a decision. 680 00:35:46,133 --> 00:35:50,366 ALGAZI: My gynecologist said, you know, 681 00:35:50,400 --> 00:35:52,700 "Jess, you got to do something now. 682 00:35:52,733 --> 00:35:55,133 "You'll have your ovaries and tubes removed 683 00:35:55,166 --> 00:35:59,833 and you need to have a double mastectomy right away." 684 00:35:59,866 --> 00:36:03,800 And so, I'm just grateful that I was able to find out in time 685 00:36:03,833 --> 00:36:05,466 to do something before I got sick. 686 00:36:05,500 --> 00:36:09,033 I'm eternally grateful to the folks at 23andMe 687 00:36:09,066 --> 00:36:11,466 for giving me that opportunity. 688 00:36:11,500 --> 00:36:14,800 They quite possibly saved my life. 689 00:36:14,833 --> 00:36:18,766 NARRATOR: But most women who have BRCA variations don't have 690 00:36:18,800 --> 00:36:22,633 any of the three that 23andMe tests for. 691 00:36:22,666 --> 00:36:26,000 Women like Pamela Munster. 692 00:36:26,033 --> 00:36:27,233 She happens to be 693 00:36:27,266 --> 00:36:29,433 an oncologist in San Francisco 694 00:36:29,466 --> 00:36:32,400 who specializes in breast cancer. 695 00:36:32,433 --> 00:36:33,966 I have the BRCA1 gene... 696 00:36:34,000 --> 00:36:38,133 NARRATOR: She has no Ashkenazi Jewish ancestry. 697 00:36:38,166 --> 00:36:44,200 In 2010, Pamela takes 23andMe's BRCA test herself. 698 00:36:44,233 --> 00:36:45,500 MUNSTER: What I learned is that 699 00:36:45,533 --> 00:36:48,700 I didn't have much of a breast cancer risk, 700 00:36:48,733 --> 00:36:50,633 and by 23andMe's reckon, 701 00:36:50,666 --> 00:36:52,533 my breast cancer risk was actually quite low. 702 00:36:52,566 --> 00:36:58,233 NARRATOR: But in 2012, Pamela is diagnosed with breast cancer. 703 00:36:58,266 --> 00:37:02,566 MUNSTER: And the way that my cancer looked under the microscope, 704 00:37:02,600 --> 00:37:05,333 I had the sense that this breast cancer 705 00:37:05,366 --> 00:37:06,866 was associated with a BRCA mutation. 706 00:37:06,900 --> 00:37:11,266 NARRATOR: To confirm her hunch, Pamela has her DNA tested 707 00:37:11,300 --> 00:37:14,433 by what's known as a clinical lab, 708 00:37:14,466 --> 00:37:16,866 the kind doctors use. 709 00:37:16,900 --> 00:37:20,366 They don't just look at scattered SNPs. 710 00:37:20,400 --> 00:37:24,500 They look at every single base pair in genes... 711 00:37:25,866 --> 00:37:29,866 A process known as sequencing. 712 00:37:29,900 --> 00:37:32,800 They go through the entire BRCA gene. 713 00:37:32,833 --> 00:37:37,166 And they... remember, these are like 80,000 base pairs. 714 00:37:37,200 --> 00:37:38,933 And they can tell you is the letter there, 715 00:37:38,966 --> 00:37:40,000 is the letter not there. 716 00:37:40,033 --> 00:37:43,500 NARRATOR: Pamela turns out to be right. 717 00:37:43,533 --> 00:37:46,500 She does have a BRCA2 mutation. 718 00:37:46,533 --> 00:37:50,866 But it's not any of the three variants 23andMe tests for. 719 00:37:50,900 --> 00:37:54,500 It's one of the thousands of others. 720 00:37:54,533 --> 00:37:58,333 If I just want to know who I'm related to, 23andMe, 721 00:37:58,366 --> 00:38:00,866 Ancestry are very good tests. 722 00:38:00,900 --> 00:38:03,900 If you want to know, do you carry a BRCA gene 723 00:38:03,933 --> 00:38:06,300 and are you at risk for breast cancer? 724 00:38:06,333 --> 00:38:11,200 I think 23andMe is not an ideal test. 725 00:38:11,233 --> 00:38:15,933 NARRATOR: But 23andMe says that its BRCA test has alerted 726 00:38:15,966 --> 00:38:20,166 some 3,000 people to their cancer risk. 727 00:38:20,200 --> 00:38:23,400 And that choosing these three variants makes sense, 728 00:38:23,433 --> 00:38:27,533 because they confer such high risks. 729 00:38:27,566 --> 00:38:30,366 SHIRLEY WU: What these variations mean for someone's risks 730 00:38:30,400 --> 00:38:32,933 is very, very well understood. 731 00:38:32,966 --> 00:38:36,166 The studies that have shown near, nearly half of people 732 00:38:36,200 --> 00:38:38,366 carrying one of these variants don't realize it. 733 00:38:38,400 --> 00:38:42,733 So it's great for those people who were not even thinking 734 00:38:42,766 --> 00:38:44,033 they were carrying that mutation 735 00:38:44,066 --> 00:38:46,833 to pick it up with direct-to-consumer testing. 736 00:38:46,866 --> 00:38:49,700 It's not a good thing if those people think 737 00:38:49,733 --> 00:38:54,900 they have been exhaustively tested because they have not. 738 00:38:54,933 --> 00:38:57,400 ♪ 739 00:38:57,433 --> 00:38:59,466 NARRATOR: And there are also concerns 740 00:38:59,500 --> 00:39:03,566 about how test-takers' data is used. 741 00:39:03,600 --> 00:39:04,933 In 2018, 742 00:39:04,966 --> 00:39:09,066 23andMe agrees to share anonymized information 743 00:39:09,100 --> 00:39:11,266 about millions of its customers 744 00:39:11,300 --> 00:39:14,533 with GlaxoSmithKline to use in the development 745 00:39:14,566 --> 00:39:17,333 of new drugs. 746 00:39:17,366 --> 00:39:22,300 23andMe says some 80% of its customers have given consent 747 00:39:22,333 --> 00:39:26,266 for their data to be used in research. 748 00:39:27,800 --> 00:39:30,533 Most have also filled in health questionnaires, 749 00:39:30,566 --> 00:39:34,333 enabling valuable links to be made between their genes, 750 00:39:34,366 --> 00:39:36,933   and their health histories. 751 00:39:36,966 --> 00:39:38,966 The potential of what you can do with that information 752 00:39:39,000 --> 00:39:40,566 is just astounding. 753 00:39:40,600 --> 00:39:43,333 NARRATOR: But while the possible rewards 754 00:39:43,366 --> 00:39:46,233 of the deal seem clear, to some, 755 00:39:46,266 --> 00:39:48,800 it raises ethical questions. 756 00:39:48,833 --> 00:39:50,766 You're actually paying your money to give your data 757 00:39:50,800 --> 00:39:51,900 to a company. 758 00:39:51,933 --> 00:39:54,333 And then it will be capitalized on 759 00:39:54,366 --> 00:39:57,500 potentially without benefit to you. 760 00:39:57,533 --> 00:39:59,233 When you're dealing with such a new technology, 761 00:39:59,266 --> 00:40:03,400 I think the full implications can't possibly be understood 762 00:40:03,433 --> 00:40:06,133 by consumers because things are just too new. 763 00:40:07,700 --> 00:40:13,533 NARRATOR: So how safe is the data of 23andMe's 12 million customers? 764 00:40:13,566 --> 00:40:14,900 JACQUIE HAGGARTY: We do not sell data. 765 00:40:14,933 --> 00:40:19,166 We do not share your data with any insurance company 766 00:40:19,200 --> 00:40:23,066 or any employer, hard stop, without your consent. 767 00:40:24,400 --> 00:40:27,066 NARRATOR: Federal law prohibits most employers from using 768 00:40:27,100 --> 00:40:31,133 genetic data to make workplace decisions. 769 00:40:31,166 --> 00:40:33,766 And prohibits health insurers from using it 770 00:40:33,800 --> 00:40:36,500 to change or deny coverage. 771 00:40:36,533 --> 00:40:38,466 But disability and life insurance companies 772 00:40:38,500 --> 00:40:40,900 are free to use it. 773 00:40:40,933 --> 00:40:45,633 While 23andMe and FamilyTreeDNA talked with "NOVA" 774 00:40:45,666 --> 00:40:47,666 about these issues, 775 00:40:47,700 --> 00:40:52,900 AncestryDNA declined to participate in this film. 776 00:40:52,933 --> 00:40:54,833 ♪ 777 00:40:54,866 --> 00:40:57,333 The risks inherent in new technologies 778 00:40:57,366 --> 00:40:58,933 often become obvious 779 00:40:58,966 --> 00:41:01,733 only in hindsight. 780 00:41:01,766 --> 00:41:05,500 Chelsea Rustad could never had predicted that her DNA test 781 00:41:05,533 --> 00:41:09,533 might lead the police to a dangerous murder suspect. 782 00:41:09,566 --> 00:41:13,833 They found him using a new investigative technique 783 00:41:13,866 --> 00:41:18,900 that springs directly from the rise of consumer testing. 784 00:41:18,933 --> 00:41:21,766 It's called genetic genealogy. 785 00:41:21,800 --> 00:41:24,966 And before it was used to solve crimes, 786 00:41:25,000 --> 00:41:29,033 it was used by people looking for their birth parents. 787 00:41:29,066 --> 00:41:32,933 One of its pioneers is a retired patent lawyer 788 00:41:32,966 --> 00:41:34,733 named Barbara Rae-Venter. 789 00:41:34,766 --> 00:41:35,833 RAE-VENTER: I really backed into 790 00:41:35,866 --> 00:41:37,533 this whole thing. 791 00:41:37,566 --> 00:41:42,500 Because I was doing, uh... unknown parentage type work 792 00:41:42,533 --> 00:41:44,400 with adoptees. 793 00:41:44,433 --> 00:41:46,800 For adoptees, DNA has been huge, 794 00:41:46,833 --> 00:41:49,833 because for them to try and figure out 795 00:41:49,866 --> 00:41:52,266 who their birth relatives were just using paper, 796 00:41:52,300 --> 00:41:53,866 very, very difficult. 797 00:41:53,900 --> 00:41:57,633 NARRATOR: Barbara starts by connecting the adoptee to the people 798 00:41:57,666 --> 00:42:00,700 in their DNA match list. 799 00:42:00,733 --> 00:42:07,366 Then by digging through records, she finds more relatives. 800 00:42:07,400 --> 00:42:12,900 The goal: find an ancestor who links everyone together 801 00:42:12,933 --> 00:42:16,000 and points directly to the birth parent. 802 00:42:16,033 --> 00:42:22,666 In 2017, Barbara is asked by investigators in California 803 00:42:22,700 --> 00:42:25,533 to try to solve a different kind of mystery: 804 00:42:25,566 --> 00:42:29,700 one of the nation's most notorious cold cases. 805 00:42:30,933 --> 00:42:33,200 The so-called Golden State Killer 806 00:42:33,233 --> 00:42:34,400 was suspected of committing 807 00:42:34,433 --> 00:42:38,466 at least 13 murders and more than 50 rapes 808 00:42:38,500 --> 00:42:42,033 during the 1970s and '80s. 809 00:42:42,066 --> 00:42:44,666 ♪ 810 00:42:44,700 --> 00:42:46,733 Police have long had his DNA, 811 00:42:46,766 --> 00:42:49,500 but they have no idea who he is. 812 00:42:49,533 --> 00:42:50,933 ♪ 813 00:42:50,966 --> 00:42:52,100 Barbara agrees to help. 814 00:42:54,066 --> 00:42:57,100 From the crime scene DNA, a SNP profile is made, 815 00:42:57,133 --> 00:43:00,366 and then uploaded to GEDmatch. 816 00:43:00,400 --> 00:43:05,700 Using the relatives who pop up, Barbara creates a family tree 817 00:43:05,733 --> 00:43:08,166 and eventually zeroes in 818 00:43:08,200 --> 00:43:11,666 on a man named Joseph DeAngelo. 819 00:43:11,700 --> 00:43:16,600 A one-time policeman, DeAngelo had never been under suspicion. 820 00:43:16,633 --> 00:43:22,300 Police collect his DNA and run an STR test. 821 00:43:22,333 --> 00:43:25,433 The result: a perfect match with the DNA 822 00:43:25,466 --> 00:43:29,333 of the Golden State Killer. 823 00:43:29,366 --> 00:43:30,666 Murder in the first degree-- 824 00:43:30,700 --> 00:43:32,766 that charge, sir, how do you plead? 825 00:43:32,800 --> 00:43:36,300 NARRATOR: In June 2020, Joseph DeAngelo pleads guilty 826 00:43:36,333 --> 00:43:38,300 to 13 counts of murder. 827 00:43:38,333 --> 00:43:39,466 Guilty. 828 00:43:39,500 --> 00:43:41,700 NARRATOR: He is sentenced to life in prison. 829 00:43:43,566 --> 00:43:45,533 At the time of DeAngelo's arrest, 830 00:43:45,566 --> 00:43:48,133 Detective Jim Scharf is amazed to learn 831 00:43:48,166 --> 00:43:52,866 what's been accomplished using genetic genealogy. 832 00:43:52,900 --> 00:43:56,500 He quickly thinks about Tanya and Jay. 833 00:43:56,533 --> 00:43:59,166 He reaches out to a computer scientist 834 00:43:59,200 --> 00:44:04,933 he's been working within Virginia-- Steve Armentrout. 835 00:44:04,966 --> 00:44:07,133 So do I need to hardwire the number in here 836 00:44:07,166 --> 00:44:08,900 or am I doing a calculation? 837 00:44:08,933 --> 00:44:12,366 NARRATOR: Steve's company, Parabon NanoLabs, 838 00:44:12,400 --> 00:44:15,533 has developed methods and software for sifting through 839 00:44:15,566 --> 00:44:17,533   hundreds of thousands of SNPs. 840 00:44:17,566 --> 00:44:21,200 ARMENTROUT: We first have to get DNA from the crime scene 841 00:44:21,233 --> 00:44:25,200 into a format that can be used for uploading. 842 00:44:25,233 --> 00:44:28,100 Jim gave us the okay on a Thursday. 843 00:44:28,133 --> 00:44:29,066 On Friday, 844 00:44:29,100 --> 00:44:32,700 we were uploading to GEDmatch. 845 00:44:33,833 --> 00:44:35,200 NARRATOR: Steve has teamed up 846 00:44:35,233 --> 00:44:36,600 with a genetic genealogist 847 00:44:36,633 --> 00:44:39,866 in California, CeCe Moore. 848 00:44:39,900 --> 00:44:41,300 MOORE: On Saturday morning, 849 00:44:41,333 --> 00:44:44,700 I rolled out of bed before I even put my contact in, 850 00:44:44,733 --> 00:44:48,566 and flipped open my laptop to see if we had that match list. 851 00:44:48,600 --> 00:44:49,800 And we did. 852 00:44:49,833 --> 00:44:55,566 GEDmatch shows two people who each share around 3% 853 00:44:55,600 --> 00:44:59,000 with the unknown suspect. 854 00:44:59,033 --> 00:45:03,400 So to have two people that shared about 3% of their DNA 855 00:45:03,433 --> 00:45:05,800 or enough to be a second cousin with the suspect 856 00:45:05,833 --> 00:45:08,333 did feel like getting struck by lightning. 857 00:45:08,366 --> 00:45:12,100 Second cousins will share 858 00:45:12,133 --> 00:45:13,633 a set of great-grandparents, 859 00:45:13,666 --> 00:45:15,100 and that's not that far back in the tree. 860 00:45:15,133 --> 00:45:16,566 In genealogy, 861 00:45:16,600 --> 00:45:20,166 I can almost always get back to someone's great-grandparents. 862 00:45:20,200 --> 00:45:27,100 NARRATOR: One of CeCe's two top matches is Chelsea Rustad. 863 00:45:27,133 --> 00:45:32,166 The other is a cousin who's never been publicly identified. 864 00:45:32,200 --> 00:45:35,066 They both share DNA with the suspect. 865 00:45:35,100 --> 00:45:38,633 But don't share any with each other. 866 00:45:38,666 --> 00:45:40,800 That meant that they represented different branches 867 00:45:40,833 --> 00:45:42,900 of the suspect's family tree. 868 00:45:42,933 --> 00:45:44,833 I really lucked out. 869 00:45:44,866 --> 00:45:50,233 I found an obituary from a woman who was carrying the surname 870 00:45:50,266 --> 00:45:53,733 that I had just seen in the other match's family tree. 871 00:45:53,766 --> 00:45:54,966 So that told me 872 00:45:55,000 --> 00:45:56,933 we have a woman from this tree 873 00:45:56,966 --> 00:45:59,600 and a man from this tree who have married. 874 00:45:59,633 --> 00:46:01,233 And hopefully had children. 875 00:46:01,266 --> 00:46:05,733 NARRATOR: CeCe knows that if they did, those children would carry 876 00:46:05,766 --> 00:46:10,200 a mix of DNA very similar to that of the suspect. 877 00:46:10,233 --> 00:46:13,800 The couple had four children. 878 00:46:13,833 --> 00:46:18,133 We got really lucky that there was only one male in this family 879 00:46:18,166 --> 00:46:21,600 because the genetic genealogy was pointing at one person 880 00:46:21,633 --> 00:46:23,100 and only one person, 881 00:46:23,133 --> 00:46:25,400 and that was William Earl Talbott II. 882 00:46:25,433 --> 00:46:28,733 ♪ 883 00:46:30,200 --> 00:46:32,233 NARRATOR: At the time of the murders, 884 00:46:32,266 --> 00:46:34,766 Talbott lived a few miles from the bridge 885 00:46:34,800 --> 00:46:38,833 where Jay Cook's body was found. 886 00:46:38,866 --> 00:46:41,866 Now, he is 55. 887 00:46:41,900 --> 00:46:43,300 A truck driver. 888 00:46:43,333 --> 00:46:46,500 The police follow him. 889 00:46:46,533 --> 00:46:49,300 They want his DNA 890 00:46:49,333 --> 00:46:50,700 to see if it matches the DNA 891 00:46:50,733 --> 00:46:53,766 from the crime scene. 892 00:46:53,800 --> 00:46:56,133 One day they get lucky. 893 00:46:56,166 --> 00:47:00,266 A drinking cup falls out of his truck. 894 00:47:00,300 --> 00:47:02,833 Jim Scharf brings the cup 895 00:47:02,866 --> 00:47:05,033 to the Washington State Patrol Crime Lab 896 00:47:05,066 --> 00:47:07,333 for STR testing. 897 00:47:07,366 --> 00:47:11,800 Lab supervisor Lisa Collins asks him to wait. 898 00:47:11,833 --> 00:47:14,766 Soon, she returns. 899 00:47:14,800 --> 00:47:18,733 SCHARF: Lisa turned and handed me the report and said, 900 00:47:18,766 --> 00:47:20,200 "Jim, it's him. 901 00:47:20,233 --> 00:47:22,066 There's a match." 902 00:47:22,100 --> 00:47:24,933 And I couldn't believe it. 903 00:47:24,966 --> 00:47:27,400 My eyes teared up. 904 00:47:27,433 --> 00:47:29,466 I yelled out a scream. 905 00:47:29,500 --> 00:47:31,100 "This is wonderful. 906 00:47:31,133 --> 00:47:33,633 We finally got this guy." 907 00:47:36,233 --> 00:47:39,133 NARRATOR: On May 17, 2018, 908 00:47:39,166 --> 00:47:41,266 William Earl Talbott II 909 00:47:41,300 --> 00:47:44,266 is arrested on a charge of first degree murder 910 00:47:44,300 --> 00:47:48,500 for a 31-year-old crime. 911 00:47:48,533 --> 00:47:51,200 He's a man who was identified 912 00:47:51,233 --> 00:47:54,733 not because he took a DNA test, 913 00:47:54,766 --> 00:47:56,600 but because a relative did. 914 00:47:56,633 --> 00:47:59,300 Someone he'd never even met. 915 00:48:01,000 --> 00:48:05,966 In June 2019, the jury delivers its verdict. 916 00:48:06,000 --> 00:48:09,066 JUROR: We the jury find the defendant William Earl Talbott II 917 00:48:09,100 --> 00:48:11,333 guilty of the crime of first degree murder 918 00:48:11,366 --> 00:48:13,666 as charged in count one. 919 00:48:13,700 --> 00:48:17,733 NARRATOR: Talbott is the first suspect identified by genetic genealogy 920 00:48:17,766 --> 00:48:21,333 ever to be convicted by a jury. 921 00:48:21,366 --> 00:48:22,433   He is soon sentenced 922 00:48:22,466 --> 00:48:26,500 to two consecutive life terms in prison. 923 00:48:26,533 --> 00:48:28,666 It has been reiterated to me 924 00:48:28,700 --> 00:48:31,166 so many times by the investigators 925 00:48:31,200 --> 00:48:35,400 that they wouldn't have come this far without my DNA. 926 00:48:35,433 --> 00:48:37,566 It would have been dead in the water. 927 00:48:37,600 --> 00:48:41,333 NARRATOR: Since Talbott's conviction, the Parabon team has used 928 00:48:41,366 --> 00:48:43,866 genetic genealogy to identify 929 00:48:43,900 --> 00:48:47,333 more than a hundred criminal suspects. 930 00:48:47,366 --> 00:48:50,533 But just being named by a genealogist isn't enough 931 00:48:50,566 --> 00:48:51,800 to get a person arrested. 932 00:48:51,833 --> 00:48:56,300 SCHARF: We have to get confirmation DNA 933 00:48:56,333 --> 00:48:59,600 using STR testing before we have probable cause 934 00:48:59,633 --> 00:49:01,900 to make an arrest. 935 00:49:01,933 --> 00:49:06,800 NARRATOR: Even so, to critics, the use of genetic genealogy 936 00:49:06,833 --> 00:49:10,800 by law enforcement raises privacy questions. 937 00:49:10,833 --> 00:49:14,300 NELSON: Do we want to catch people who have committed heinous crimes? 938 00:49:14,333 --> 00:49:16,066 Absolutely, yes. 939 00:49:16,100 --> 00:49:19,000 But what DNA profiles are being trolled through? 940 00:49:19,033 --> 00:49:21,833 What failed attempts to find suspects 941 00:49:21,866 --> 00:49:22,966 are we not hearing about 942 00:49:23,000 --> 00:49:25,033 and the data violations and privacy violations 943 00:49:25,066 --> 00:49:26,566 that happen along the way? 944 00:49:26,600 --> 00:49:30,766 NARRATOR: The genetic genealogy team at Parabon says the fears 945 00:49:30,800 --> 00:49:32,800 are exaggerated. 946 00:49:32,833 --> 00:49:34,166 GREYTAK: People have control 947 00:49:34,200 --> 00:49:38,000 over whether their DNA is used in these investigations. 948 00:49:38,033 --> 00:49:41,366 Simply taking a DNA test at 23andMe, at Ancestry, 949 00:49:41,400 --> 00:49:44,900 your DNA is in their private database. 950 00:49:44,933 --> 00:49:49,300 NARRATOR: But there's little regulation, and policies vary. 951 00:49:49,333 --> 00:49:55,200 In 2019, FamilyTreeDNA apologized for letting the FBI 952 00:49:55,233 --> 00:49:57,833 search its database for people who share DNA 953 00:49:57,866 --> 00:50:01,833 with crime scene samples without customers' permission. 954 00:50:01,866 --> 00:50:03,466 FamilyTreeDNA and GEDmatch 955 00:50:03,500 --> 00:50:08,733 both now say they only do so with explicit permission. 956 00:50:08,766 --> 00:50:12,166 And another worry: consumer DNA companies, 957 00:50:12,200 --> 00:50:17,766 like any that collect data, are vulnerable to hackers. 958 00:50:17,800 --> 00:50:23,733 Yet the risks are clearly not deterring everyone. 959 00:50:23,766 --> 00:50:27,600 No one is forcing anyone to take a DNA test. 960 00:50:27,633 --> 00:50:32,500 If your paranoia, and fear of Big Brother 961 00:50:32,533 --> 00:50:35,366 is greater than your interest 962 00:50:35,400 --> 00:50:38,333 in reading the medical and history book 963 00:50:38,366 --> 00:50:41,866 written into your cells, then I think that you should not test. 964 00:50:41,900 --> 00:50:44,033 ♪ 965 00:50:44,066 --> 00:50:46,500 There's beauty in, you know, understanding where you're from, 966 00:50:46,533 --> 00:50:47,566   and then searching for that. 967 00:50:47,600 --> 00:50:50,000 NARRATOR: The consumer DNA phenomenon 968 00:50:50,033 --> 00:50:53,333 is changing many people's lives 969 00:50:53,366 --> 00:50:55,766 by revealing the secrets that lie hidden 970 00:50:55,800 --> 00:50:58,866 deep inside ourselves. 971 00:50:58,900 --> 00:51:04,800 But are its benefits worth its cost and risks? 972 00:51:04,833 --> 00:51:07,200 Do I want to know that I'm at risk for Alzheimer's 973 00:51:07,233 --> 00:51:10,966 when there's absolutely nothing I can do about it? 974 00:51:11,000 --> 00:51:12,266 Maybe not. 975 00:51:12,300 --> 00:51:15,966 SHAPIRO: With these DNA tests as popular as they are, 976 00:51:16,000 --> 00:51:17,166 the chances are 977 00:51:17,200 --> 00:51:19,500 that everyone who has had a secret of this nature 978 00:51:19,533 --> 00:51:21,866 kept from them is gonna find out. 979 00:51:21,900 --> 00:51:28,266 Our hearts and our minds don't know fully how to grapple with 980 00:51:28,300 --> 00:51:30,500 what we're being asked to grapple with. 981 00:51:31,966 --> 00:51:37,900 LAWTON: I think the surge in DNA testing over the last 20 years 982 00:51:37,933 --> 00:51:40,333 has opened people's minds to the possibility 983 00:51:40,366 --> 00:51:43,700 that they share more with other people 984 00:51:43,733 --> 00:51:45,400 than what they thought they did. 985 00:51:45,433 --> 00:51:48,466 That 1% that makes us different 986 00:51:48,500 --> 00:51:53,600 is really just the beautiful diversity in the natural world. 987 00:51:53,633 --> 00:51:56,266 And it's not that one genotype or genome 988 00:51:56,300 --> 00:51:57,600 is better than another. 989 00:51:57,633 --> 00:51:59,400 It's just they're beautifully different. 990 00:51:59,433 --> 00:52:01,366 The more we are tested, 991 00:52:01,400 --> 00:52:04,900 the more we see how connected we are to each other. 992 00:52:04,933 --> 00:52:07,900 And perhaps, if we see that we're connected to each other, 993 00:52:07,933 --> 00:52:10,466 we'll treat each other a little bit better. 994 00:52:10,500 --> 00:52:14,900 ♪ 995 00:52:41,166 --> 00:52:46,300 ♪ 996 00:52:57,200 --> 00:53:01,533 ANNOUNCER: To order this program on DVD, visit ShopPBS 997 00:53:01,566 --> 00:53:04,833 or call 1-800-PLAY-PBS. 998 00:53:04,866 --> 00:53:07,566 Episodes of "NOVA" are available with Passport. 999 00:53:07,600 --> 00:53:11,100 "NOVA" is also available on Amazon Prime Video. 1000 00:53:11,133 --> 00:53:16,266 ♪ 78199

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