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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:04,170 MICHAEL HEMANN: In the case of mice and flies and yeast 1 00:00:04,170 --> 00:00:07,680 and model organisms, we can actually 2 00:00:07,680 --> 00:00:12,150 test, we can do experiments, we can increase our numbers to try 3 00:00:12,150 --> 00:00:14,430 to more rigorously test our hypotheses 4 00:00:14,430 --> 00:00:17,290 or exclude particular hypotheses. 5 00:00:17,290 --> 00:00:20,430 Now, we can't do this, again, in humans. 6 00:00:20,430 --> 00:00:23,970 In humans, we actually have to rely on the experiments that 7 00:00:23,970 --> 00:00:27,630 have already been done, which is to say the crosses that people 8 00:00:27,630 --> 00:00:32,610 naturally set up in their lives when they find partners 9 00:00:32,610 --> 00:00:34,620 and they have children and we can actually 10 00:00:34,620 --> 00:00:37,380 look at entire families and family histories. 11 00:00:37,380 --> 00:00:40,890 And so now, we're going to start talking 12 00:00:40,890 --> 00:00:43,530 about this idea of pedigree analysis 13 00:00:43,530 --> 00:00:49,200 and how we look at inheritance patterns in people. 14 00:00:49,200 --> 00:00:55,640 And again, this kind of analysis involves information. 15 00:00:55,640 --> 00:01:04,340 And it involves taking family histories. 16 00:01:04,340 --> 00:01:07,310 So, talking to people and getting a sense from them 17 00:01:07,310 --> 00:01:10,410 in a family who has a particular phenotype. 18 00:01:10,410 --> 00:01:13,040 Did your parents, did your grandparents, did your uncles, 19 00:01:13,040 --> 00:01:14,900 did your aunts, did your children-- can 20 00:01:14,900 --> 00:01:19,100 you assemble as large of a data set as possible 21 00:01:19,100 --> 00:01:23,120 that's going to allow you to infer and hypothesize things 22 00:01:23,120 --> 00:01:28,100 about patterns of inheritance that can tell us information 23 00:01:28,100 --> 00:01:31,430 that informs decisions that people 24 00:01:31,430 --> 00:01:34,670 make about having children or what they should look for? 25 00:01:34,670 --> 00:01:38,570 It also allows us to do extensive mapping studies 26 00:01:38,570 --> 00:01:42,530 to identify the location of genes and alterations 27 00:01:42,530 --> 00:01:43,440 within the genome. 28 00:01:43,440 --> 00:01:45,705 So pedigrees are absolutely essential for all 29 00:01:45,705 --> 00:01:47,330 of the mapping studies that we're going 30 00:01:47,330 --> 00:01:49,110 to talk about in the future. 31 00:01:49,110 --> 00:01:52,700 So there's an established symbolism in pedigrees 32 00:01:52,700 --> 00:01:56,540 that allow us to draw out these family histories. 33 00:01:56,540 --> 00:01:59,550 And some but not all of these symbols are shown here. 34 00:01:59,550 --> 00:02:02,750 And so for example, if you have people 35 00:02:02,750 --> 00:02:06,590 that are unaffected by whatever phenotype you're looking 36 00:02:06,590 --> 00:02:08,990 at-- it doesn't have to be a deleterious condition, 37 00:02:08,990 --> 00:02:12,050 it can just be hair color, or eye color, 38 00:02:12,050 --> 00:02:14,780 or any other characteristic-- we indicate them 39 00:02:14,780 --> 00:02:20,600 as an empty square for males and an empty circle for females. 40 00:02:20,600 --> 00:02:23,750 A line crossed through generally means the person is not around 41 00:02:23,750 --> 00:02:24,390 any longer. 42 00:02:24,390 --> 00:02:27,682 So sometimes, you want to generate pedigrees that have 43 00:02:27,682 --> 00:02:30,140 great-great-grandparents and great-great-great-grandparents 44 00:02:30,140 --> 00:02:33,560 if you have that information available. 45 00:02:33,560 --> 00:02:37,670 When we have a square or a circle that's filled in, 46 00:02:37,670 --> 00:02:40,320 we mean that this person has the phenotype that we care about, 47 00:02:40,320 --> 00:02:42,800 so affected males or affected females. 48 00:02:42,800 --> 00:02:45,410 And generally, if there's a dot inside, 49 00:02:45,410 --> 00:02:49,970 it means that we know by some either genetic analysis 50 00:02:49,970 --> 00:02:52,180 or based on inference-- that we'll talk about-- 51 00:02:52,180 --> 00:02:53,180 that they are a carrier. 52 00:02:53,180 --> 00:02:57,230 So mating meaning, an interaction 53 00:02:57,230 --> 00:03:01,370 that leads to offspring, is indicated by a line 54 00:03:01,370 --> 00:03:03,830 between two individuals. 55 00:03:03,830 --> 00:03:07,520 Consanguineous mating-- which is really important in looking 56 00:03:07,520 --> 00:03:11,030 at some syndromes or conditions-- 57 00:03:11,030 --> 00:03:17,310 indicates a mating essentially between blood relatives. 58 00:03:17,310 --> 00:03:21,200 And this underlies the etiology of a number 59 00:03:21,200 --> 00:03:22,730 of recessive conditions. 60 00:03:22,730 --> 00:03:26,510 And I'll bring one up in a couple of minutes. 61 00:03:26,510 --> 00:03:32,310 And then we have sort of a reproductive unit 62 00:03:32,310 --> 00:03:36,000 here where we have two people that have children, 63 00:03:36,000 --> 00:03:38,730 and their children are indicated by a line that's 64 00:03:38,730 --> 00:03:42,690 drawn below, having both male and female children. 65 00:03:42,690 --> 00:03:44,400 So these aren't all of the symbols, 66 00:03:44,400 --> 00:03:48,800 but there are many of the symbols that we'll look at. 5380

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