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RT @KirkegaardEmil: @PsychRabble @HinterhaltS @IonaItalia @SkepticReview89 @nathancofnas Re. 1: Last GWAS on education found ~1300 approx.…
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@PsychRabble @HinterhaltS @IonaItalia @SkepticReview89 @nathancofnas Re. 1: Last GWAS on education found ~1300 approx. independent variants. A specific GWAS on IQ found 18 approx. independent variants. The latter study is much smaller. https://t.co/tFnzHn
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@VSealan @dr_l_alexandre C'est 20% en enfance, 80% à l'âge adulte pour les gènes t'inquiète pas ont en as découvert pleins qui explique 10% des variations entre les individus https://t.co/oHurhD9Gsj https://t.co/9hCUt9I8wr
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@JohannesTextor @shell_ki Have you seen the screed of recent papers relating a polygenic score to years of education?? https://t.co/mqDOlIlVcS https://t.co/Mms3A6aHW4 https://t.co/nl9Pi1y1kT and loads more
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@ExcludedMuddle @DrCherylllP @antonioregalado good point. 1. here are some further insights: https://t.co/JrIuPL6QH4 / https://t.co/aEe0H8RQVB 2. I´m not that sure that twin studies are the best option to study that (but may be my ignorance on the topic)
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Fascinating to hear of the 'Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals' study by Lee et al (2018) & 'EduYears Polygenic' and Educational Attainment https://t.co/cMSy
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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals https://t.co/HoSlVZoden via @BenPatrickWill
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@TheGoodRv @Le__Noeliste @Polydamas @HenrydeLesquen L'heritabilité c'est l'heridité dans un environement donné donc vous avez faux j'ai déjà donné des liens et des gènes spécifique ont déjà été associé et predisent 7-10% de la variance https://t.co/WZMQqD
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しょっぱなは、educational attainmentをゲノムで予測できるか、というチャレンジングなセッション。個人の予測は今の所難しく、古典的な予測因子にプラスする情報は少ない、というよくありがちな内容。論文を読めば情報はゲットできそうなので別のセッションへ移動。 https://t.co/e3Uq4YPcmb
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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals | Nature #Genetics | #cognition #education #GWAS #inheritance #intelligence https://t.co/HR2FaXo1i7
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@CalaveraSurfer
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RT @AmirSariaslan: @GPledare För den intresserade: https://t.co/pKTkLPydWv
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@GPledare För den intresserade: https://t.co/pKTkLPydWv
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@HollyBahpullo Je suis Bioinformaticien Madame ! 😀 C est vraie qu il y a des maladies heritaires lie au chromosomeX, mais la majorite de l influence genetique sur l intelligence est lie a l autosome. Sur un echantillon de 1 million... https://t.co/tx6w3Xc3
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@C_Kavanagh @Quillette The numbers are creeping up constantly, and explaining 10% of the variance is significant. https://t.co/U7bgNKiIO3
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Re cooperation with biologists in social-science genetics: This is happening all the time and it's one of the reasons the most important papers in the field have dozens or hundreds of coauthors, e.g. https://t.co/XWVhj9lYOA
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@CapitalismL @RussianBot88 @StefanMolyneux Four even when significant results are found, effects are really lame, for example using educational attrition as an IQ proxy, in the biggest GWAS study to the date, at most 11% explained https://t.co/t3nuUEYgN8
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@stianchrister @clairlemon @nntaleb @Quillette Hey buddy, you are out of date, recent GWAS papers on genetics of cognitive ability and other traits have huge n's. E.g. see JJ Lee et al famous 2018 paper on genes involved in educational attainment, n = 1.
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No se será un sesgo algoritmico, pro parece haber un resurgimiento de genética y biología social, en lógica de "Nature First", pero algunos omiten casualmente que justamente cuando usamos los genes para estimar fenomenos sociales, efectos son marginales h
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@rjhaier @charlesmurray I mean this https://t.co/t3nuUEYgN8
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@AnnaMinasy @APeichl @ifo_Institut @FuestClemens @PaulHufe @Weishaar_Daniel @jecacarpediem @CESifoGroup @LMU_Muenchen @ifo_Bildung The PGS come from a genome-wide association study. We use the PGS from the following study: https://t.co/sY8ZSSqEJg
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Sorry guys, no special X chromosome magic in GWASs. https://t.co/IO7th4vxOv https://t.co/TLJYBBbimE
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@UnsilencedSci @charlesmurray Nah. GWASs that included X so far have found it to be less important relative to size than autosomes. https://t.co/IO7th4vxOv https://t.co/c0EiRbzQMr
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@BakerFlan @Rongwrong_ @DialecticalA Yes. Table 13 of Lee et al.https://t.co/oxW86ek478 top 226 SNPs for cognitive ability have mean absolute effect size of 0.02 and only 30 are over 0.03. Those SNPs alone explain hardly any variance (~2% or less normally)
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Or in this 1.1 million population wide genetic study of education attainment, which would be at least as relevant than IQ, indeed more: /7 https://t.co/5oRWauEedl
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@joftius @kenklippenstein @kph3k The polygenic score data in Harden's paper is based on the Lee et al. 2018 paper which has already shown to be highly replicable and in recent months is taking the social science world by storm. Read about it before you loo
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@amarlevine @hbdchick There's a fair bit on differences by genetic ancestry groups: https://t.co/4jecm0tvz2, https://t.co/0AwH0EIL2J, https://t.co/V4FwOeonqh. Also https://t.co/J93tpu1S7G show big difference for the education score across groups.
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We used data from @CO90s to see how well two polygenic scores for education (based on https://t.co/J93tpu1S7G using different thresholds) predicted the ALSPAC participants' exam scores at ages 7 and 16, the first and final stages of compulsory schooling in
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@k_isjm この論文、sociogenomicsでは今後よく引用されると思うんですけど、著者79人（含機関）なんですよね。https://t.co/BcAkriJ9O5
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@theother_95 Perhaps you can accept compliments for creating a good nurturing environment for your children, i.e. genetic nurture (though that's still due to your genes...) https://t.co/6fTZ4iE22Q https://t.co/JUjLECdOaY
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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. - PubMed - NCBI https://t.co/JsDVE0bdJD
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@AleksiRaudasoja @ivanpuopolo @EliasAarnio @Jussi7 @tutamAW @TomimPA @jmkorhonen @IhisTeemu @KangasAnni @JiiPeePuro @JoonasKiviranta @Minnastiina @MikkolaHarry Tämä tuli ulos viime kesänä. Replikoi aiemmat yhteydet ja löysi tuhottomasti lisää. https://t.c
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@1080pno Er flere måter å gjøre det på, feks tvillingstudier. Man kan nå også forklare stadig mer av varians ved GWAS (link). Tester trenger ikke være perfekte for å være nyttige (poenget mitt om IQ). Det er en større feil å utelate ting man vet at forklar
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@ike_og_ike と思うじゃないですか？それが教育年数はめっちゃ（11–13%）説明するんですよね笑 Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals https://t.co/BcAkriJ9O5
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RT @ChristaCaggiano: @NicoleMMcNeil @kph3k @NYDailyNews Their results also had poor performance in non-europeans which means PRS aren't eve…
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@NicoleMMcNeil @kph3k @NYDailyNews Their results also had poor performance in non-europeans which means PRS aren't even generalizable. They also couldn't adequately control for parental nurture in their study. I'd take household income than some random SNP
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@sallybhunt @freetime_rifle Is statistics a social construct? https://t.co/et0vNzzu2c https://t.co/1GHqZQAZ9l https://t.co/MZJmtN8WO6 https://t.co/jSQrmbpvLj https://t.co/cJaDLoNEU8
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@postdiscipline @Arrianna_Planey @prof_goldberg Going back to the latest education attainment gwas ( from which I guess the variants and their effect sizes were retrieve) https://t.co/0rMZeWN4L2 People should read it carefully, It turns out when they m
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@kareem_carr @boback @kph3k @cecilejanssens Should be point out that in the GWAS from which the variants are retrieve make this clear https://t.co/0rMZeWN4L2 ( discussion section) The effect sizes of the variants are not concordant when you restrict the a
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@joftius @ewanbirney @bendomingue @Danbelsky @michelnivard @tuckerdrob @MarghMalanchini @jasondboardman yes possible, although results from within-family sibling or DZ twin comparisons are pretty good evidence that this isn't the whole story. https://t.co/
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@iskander @bendomingue @Danbelsky @michelnivard @tuckerdrob @MarghMalanchini @jasondboardman based on previous GWAS https://t.co/enwhyECb7M
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(Data for the blue line from this paper on NLSY data: https://t.co/vZXMlgeqZg, Data for the red line from this paper in Add Health: https://t.co/enwhyECb7M)
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New from #The_MRC https://t.co/kPsTyWOWtC Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment
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New from #ERC_Research https://t.co/kPsTyWOWtC Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment
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@NickWolfinger Step 1, download data from Lee JJ et al 2018 https://t.co/EegwK9CREj … Step 2. enter MTAG-EA3 data into GADGET site for displaying ethnoracial group variation in 1000 genome data https://t.co/1KcZ7dOclu
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RT @RoyAFrye1: @ngmcclernan @amy_harmon @gcochran99 @thessgac @DPosthu Step 1, download data from Lee JJ et al 2018 https://t.co/EegwK9CREj…
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@ngmcclernan @amy_harmon @gcochran99 @thessgac @DPosthu Step 1, download data from Lee JJ et al 2018 https://t.co/EegwK9CREj Step 2. enter MTAG-EA3 data into GADGET site for displaying ethnoracial group variation in 1000 genome data https://t.co/1KcZ7dOcl
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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@Apestatic @Race__Realist @akarlin88 Things are moving along https://t.co/jcfrZTcofo
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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@sonyaellenmann @hamandcheese and more importantly https://t.co/pYCZcpEk01
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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For me the true question is not whether the CRISPR chinese twins are smarter because of the HIV immunity mutation but whether Jianku He was stupid enough to believe they would be and whether that influenced his weird choice of phenotype to engineer
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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RT @razibkhan: this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s…
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this @antonioregalado piece is getting shared 1) ppl looked for big common gene variations (QTLs) for intelligence in 2000s. never found anything. 2) recent work with 1 million samples did not pick this up https://t.co/6XSn7HR6pK 3) a HUGE proportion of g
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@RCownie @esotericsqrl @gcochran99 @JoeWMAGA @EPoe187 Let’s go to the literature: “[our] polygenic scores... explain 11–13% of the variance in educational attainment and 7–10% of the variance in cognitive performance.” https://t.co/XBfyttdBEK
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RT @RoyAFrye1: @CathrynTownsend @amy_harmon Polygenic predictors (DNA differences data) from this recent study when applied to ethnoracial…
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@CathrynTownsend @amy_harmon Polygenic predictors (DNA differences data) from this recent study when applied to ethnoracial groups, totally supports the Jensenist Hereditarian theory of gene differences as the major cause for observed group differences in
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@hmmmnah1 @freemonotheist @StefanMolyneux What, you mean something like this? https://t.co/UnR1SMcnZJ
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@f2harrell @nilanjan10c Sure, for example this: https://t.co/bcLlGD6tq8 reports the ammount of explained phenotypic variance at different thresholds. Or https://t.co/6eDxaZAslS. In both cases this is mentioned in the abstract.
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RT @gcochran99: @jpklock @844y @amy_harmon Like here. https://t.co/hjdStORvVn You're behind the times. But you don't need specific sequen…
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RT @gcochran99: @jpklock @844y @amy_harmon Like here. https://t.co/hjdStORvVn You're behind the times. But you don't need specific sequen…
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@jpklock @844y @amy_harmon Like here. https://t.co/hjdStORvVn You're behind the times. But you don't need specific sequences: do an admixture study.
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@Apestatic @TimRooney10 @jorio1984 @nntaleb @rjhaier Stuart Ritchie, the IQ researcher, named the Lee et al. (2018) GWAS as one of his favourite papers of 2018. https://t.co/SsDt587yI0
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@Apestatic @TimRooney10 @jorio1984 @nntaleb @rjhaier From here: https://t.co/wJGfomvBfo SNPs identified in the GWAS looking at over 1 million people also went into great detail. See the attached image. Go to Part 5 of the Supplementary Note in the paper:
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@itsbirdemic @Simon_Whitten @polyaletheia @SimonDeDeo By the way, the GWA studies that I mention have already directly identified DNA differences accounting for 7-10% of variance in intelligence. We now have polygenic scores for educational achievement tha
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT briandavidearp: RT StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/qdCkLpUk7q), genetic nurture (https://t.co/mgWWtlpYV3), & genetic prediction of coronary artery disease (https://t.co/P2w5znr1
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…
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RT @StuartJRitchie: What are your favourite scientific papers of 2018? Mine are probably: EA3 (https://t.co/DpEmglQsSm), genetic nurture (h…