All language subtitles for 57031x_PR_LOD_Scores_04_Calculation_Interpretation_-en

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French Download
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:04,040 PETER REDDIEN: So let's get a LOD score. 1 00:00:04,040 --> 00:00:06,170 OK, so we'll put in our data. 2 00:00:06,170 --> 00:00:16,150 3 00:00:16,150 --> 00:00:22,600 OK, so log base 10 of 0.75 over 2 cubed times 4 00:00:22,600 --> 00:00:36,230 0.25 over 2 for the first power over 0.25 to the fourth power. 5 00:00:36,230 --> 00:00:46,910 OK, so we get a value here of 0.23. 6 00:00:46,910 --> 00:00:49,580 OK, so now to your question, what 7 00:00:49,580 --> 00:00:52,370 do you do with the LOD score, this 8 00:00:52,370 --> 00:00:54,710 is a statistical test we're trying 9 00:00:54,710 --> 00:00:58,790 to utilize to assess linkage. 10 00:00:58,790 --> 00:01:01,400 And by convention, a threshold for a LOD score 11 00:01:01,400 --> 00:01:06,110 has been set such that if your score is above that threshold, 12 00:01:06,110 --> 00:01:09,560 your probability of concluding linkage incorrectly 13 00:01:09,560 --> 00:01:13,400 is less than 0.05, OK. 14 00:01:13,400 --> 00:01:16,670 And that threshold is a LOD score 15 00:01:16,670 --> 00:01:18,125 of greater than or equal to 3. 16 00:01:18,125 --> 00:01:36,360 17 00:01:36,360 --> 00:01:36,860 OK. 18 00:01:36,860 --> 00:01:40,830 19 00:01:40,830 --> 00:01:43,530 And that threshold is set-- it will depend depending 20 00:01:43,530 --> 00:01:46,800 upon the size of the genome, the number of chromosomes and so on 21 00:01:46,800 --> 00:01:47,682 across species. 22 00:01:47,682 --> 00:01:49,140 But this is a threshold that's been 23 00:01:49,140 --> 00:01:53,790 set by convention corresponds to about 1,000 to 1 odds 24 00:01:53,790 --> 00:01:56,797 or exactly 1,000 to 1 odds. 25 00:01:56,797 --> 00:01:59,130 This is a threshold that has been set that will give you 26 00:01:59,130 --> 00:02:01,950 significance for linkage. 27 00:02:01,950 --> 00:02:17,248 OK, so what do we conclude with our LOD score, the 0.23? 28 00:02:17,248 --> 00:02:18,790 Can we conclude that they are linked? 29 00:02:18,790 --> 00:02:22,030 No, so we don't have enough data. 30 00:02:22,030 --> 00:02:25,870 So we cannot conclude linkage. 31 00:02:25,870 --> 00:02:29,063 We tested for linkage at this theta. 32 00:02:29,063 --> 00:02:31,480 We could test at other thetas, and you get a different LOD 33 00:02:31,480 --> 00:02:32,740 score. 34 00:02:32,740 --> 00:02:34,450 But we selected a theta that gave us 35 00:02:34,450 --> 00:02:36,010 our best chance of seeing linkage, 36 00:02:36,010 --> 00:02:39,470 because we used a theta based on the data. 37 00:02:39,470 --> 00:02:44,000 So we're not going to do better if we try other thetas. 38 00:02:44,000 --> 00:02:48,770 Now you can see that this was a pretty large number 39 00:02:48,770 --> 00:02:52,700 of offspring, but we're nowhere near our threshold of 3. 40 00:02:52,700 --> 00:02:56,060 So how would we ever get significant linkage 41 00:02:56,060 --> 00:02:59,810 for our markers in a diseased gene, OK. 42 00:02:59,810 --> 00:03:02,360 What do you guys think? 43 00:03:02,360 --> 00:03:04,328 You could go around testing families 44 00:03:04,328 --> 00:03:05,870 every time you see a disease crop up, 45 00:03:05,870 --> 00:03:09,520 and you're often going to be in this situation. 46 00:03:09,520 --> 00:03:12,450 So how would we ever get a significant statistical test 47 00:03:12,450 --> 00:03:16,320 here with data that would allow us to move forward and look 48 00:03:16,320 --> 00:03:18,180 at a particular region of the chromosome 49 00:03:18,180 --> 00:03:19,350 where we think our gene is? 50 00:03:19,350 --> 00:03:24,552 Any ideas moving beyond the situation of this problem 51 00:03:24,552 --> 00:03:25,760 and just thinking of general? 52 00:03:25,760 --> 00:03:28,520 53 00:03:28,520 --> 00:03:30,220 Do it across multiple families. 54 00:03:30,220 --> 00:03:31,700 OK, so that's what's done. 55 00:03:31,700 --> 00:03:35,480 So now you can add the data from families. 56 00:03:35,480 --> 00:03:53,937 57 00:03:53,937 --> 00:03:55,520 Because of the property of logarithms, 58 00:03:55,520 --> 00:03:59,210 you can just add the LOD scores from individual families, 59 00:03:59,210 --> 00:04:01,190 or you can include all the informative meiosis 60 00:04:01,190 --> 00:04:04,400 in one individual calculation, whichever you prefer. 61 00:04:04,400 --> 00:04:07,080 62 00:04:07,080 --> 00:04:09,860 OK. 63 00:04:09,860 --> 00:04:11,275 All right, so that's what's done. 64 00:04:11,275 --> 00:04:12,650 Now there's one more thing I want 65 00:04:12,650 --> 00:04:21,620 to mention before going to part two, which 66 00:04:21,620 --> 00:04:26,030 is phase unknown, which is I want to emphasize something 67 00:04:26,030 --> 00:04:28,340 I just mentioned once we went through this, 68 00:04:28,340 --> 00:04:31,647 but you want to use the data from any informative meiosis 69 00:04:31,647 --> 00:04:32,480 across the pedigree. 70 00:04:32,480 --> 00:04:56,680 71 00:04:56,680 --> 00:05:01,250 OK, so we use want to use all the generations 72 00:05:01,250 --> 00:05:05,220 in your pedigree that have informative meiosis. 73 00:05:05,220 --> 00:05:07,050 You might see a generation at the end 74 00:05:07,050 --> 00:05:09,420 and, sort of, your attention get focused on that. 75 00:05:09,420 --> 00:05:10,883 But if the pedigree is long, there 76 00:05:10,883 --> 00:05:12,300 could have been informative meiosis 77 00:05:12,300 --> 00:05:14,820 higher up in the pedigree if you have data 78 00:05:14,820 --> 00:05:17,420 from those generations. 5579

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.