ー身長を決定する遺伝子部位ー 一塩基多型(SNP)は、ヒトの身長の表現型変異の40~50%を説明すると言われている。 540万人を対象としたゲノムワイド関連研究のデータから、12,111個の独立したSNPが身長に関わるSNPであることがわかった。ただしヨーロッパ系のみの話のようだ https://t.co/J1uJSNAy1v
@activity_no @salmondota @ArcherJames10 @eyeslasho @paulstate654 You're trying to group people who are genetically similar. Use height for example. A group of people who are genetically similar would mean they are all tall, and the same gene or set of gene
@SecretBaboon @RichardHakania @nehmetawy @KirkegaardEmil Except developmental noise can't explain height differences, and you made it up. The actual consensus is that height has a heritability of around 80%. Also, GWA studies can already find thousands of
"we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability." Wow 12k alleles. https://t.co/O2mmQmlC5O
@AsafRonel @Ammasmigo אתה צודק, הנתון שאני ציטטתי זה למי שלא לבן מאירופה...אצל לבנים מאירופה 40 אחוז מוסבר ממודל SNP רגיל ועוד 40 אחוז מהמודל המסובך יותר שכולל 12 אלף גנים שונים https://t.co/tof77O6FUQ
@SashaGusevPosts Genetics has trouble assigning specific genetic contributions even to height (apparently 12,000 SNPs contribute, https://t.co/cxDbxlZ6yH. Yet, we have this on IQ, from an 2016 article on "Top 10 Replicated Findings from Behavioral Genetics
While everyone enjoyed the ride, perhaps very few had any idea where the train was headed. A paper published this year [2022] in Nature offers a glimpse of what might be the end of this great GWAS journey. https://t.co/VZSVCVLDhZ
@nope_its_lily Is it really (cut and dry) though? To my knowledge GWAS studies have not managed to predict higher than an accuracy of around 40%. Here’s a recent study based on SNPs from 5.4MM individuals (mostly Europeans): https://t.co/Nx0fs4QGzL
@TigerTalk17 The most recent height GWAS of ~5 million [https://t.co/6BDrPRthaD] fully recapitulates the SNP heritability with the PGI prediction accuracy, i.e. the PGI is at max accuracy. But it *still* doesn't port well to other populations.
Hmmm. Title: "A saturated map of common genetic variants associated with human height" Abstract: "Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries." http
New research looking at how our genes link to height - made possible by our volunteers 👫Read the full article here: https://t.co/8QO1HJ1WCI - Help us do more research like this by joining us at https://t.co/dt4tsq01DT🧬 https://t.co/AJ63ZoX564
RT @Eric_Fauman: I calculated new p's for the 430 underflow errors from GIANT 2022, but I was not an author on https://t.co/1vAve0UTM9 But…
I calculated new p's for the 430 underflow errors from GIANT 2022, but I was not an author on https://t.co/1vAve0UTM9 But if you were perhaps you could encourage @gwascatalog to use the corrected p-values @joelhirschhorn @LoicYengo @okada_yukinori
Indeed p-value underflow is the culprit. The supplemental table from @LoicYengo et al https://t.co/fXbwniAiEJ has hundreds of rows reporting a p-value of exactly 0, and no column for -log(p) which could mitigate this problem. @Gwascatalog converted these t
RT @doc_locke: Many good points made in this commentary.
@RafFaithfull here is the paper estimating 45% in 2010: https://t.co/PU8zeKywxE and here is the paper confirming 45% in 2022: https://t.co/fiajqoIYcG
RT @doc_locke: Many good points made in this commentary.
@epigenci Perhaps you'd find the theoretical investigation in the supplement of @yuvalsim et al. relevant https://t.co/KTNUE2Ck5O or, relatedly, the empirical saturation analysis in the newest GIANT study https://t.co/9OVvs6B8JW
@f2harrell @EpiMorgana PRS provide orthogonal info to family history & are more equitable as not all of us have relevant family (eg women at risk of BrCa with mainly male relatives) . Best illustrated here where PRS of height provides additional info t
Quelle 6: Kritik an verhaltensgenetischen Forschungsansätzen https://t.co/7Hk3TyCqQJ Quelle 7: aktueller Überblick: GWAS-Studien zu Körpergröße https://t.co/toyqajWuQT und Bild 3 https://t.co/SQ1hS4COFj
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
RT @PaoloShirasi: Height, like intelligence, is a highly heritable complex trait. In a huge GWAS (involving 5.4 million individuals), 12,1…
hasta me parece poco que la heredabilidad de la altura sea 40%
@gabriel_mathy @IronEconomist @rfitz77 "no missing h2" refers to 2 separate things 1. working predictors capture all *common SNP* h2~0.4 https://t.co/VH71khu0E0 2. plausible that rare SNPs (low minor allele frequency; not yet explicitly known) account f
RT @SashaGusevPosts: @GouthamAtla Good point, for example height GWAS finding 1.7 independent associations per locus on average: https://t…
@GouthamAtla Good point, for example height GWAS finding 1.7 independent associations per locus on average: https://t.co/fiajqoIYcG
RT @BrainlatUAI: 📌Investigador Hieab Adams de @BrainlatUAI y equipo internacional identifican más de 12,000 genes relacionados con la altur…
RT @BrainlatUAI: 📌Investigador Hieab Adams de @BrainlatUAI y equipo internacional identifican más de 12,000 genes relacionados con la altur…
📌Investigador Hieab Adams de @BrainlatUAI y equipo internacional identifican más de 12,000 genes relacionados con la altura humana. Estudio masivo en @Nature con 5.4 millones de personas revela detalles fascinantes sobre la genética de nuestra estatura 👉h
@rasmansa Geneticists have realized that the picture is formidably complicated. 1000's of genes co-operate to determine simplest of traits. "more than 12,000 genetic variants influence height. These variants explain 10 to 40 percent of all variation in
@sebatlab 1. The recent height GWAS demonstrates that with enough sample size, the R2 will eventually approach the SNP heritability, so yes move forward with higher sample size and more accurate outcome measures of X (I realize, this is often contradictory
@ITgame_engineer 栄養と睡眠も重要だけど 遺伝子は関係してるって 論文出たよ? https://t.co/Ihy0az21nT
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
RT @Neuro_Skeptic: An animated scatterplot! I vote we call this the parallax plot.
An animated scatterplot! I vote we call this the parallax plot.
RT @PJawinski: Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi…
Excited to see complex trait genetics becoming useful in small samples. Took the findings of Yengo et al. (https://t.co/fRRi0eMKsl) and calculated polygenic scores of human height in 93 CEU individuals. See👇for prediction accuracy as function of included g
https://t.co/zmLyvXwXNU la pollution est pour la longueur de la queue 💻🤓 un round-up ?!
@deepx967 @endianzamasu @Subutai45891585 Completely Illiterate & Idiotic Take This is such a basic fallacy Height depends on the snp's for height The dutch case especially was modern selection for the genetics of height In the sub-con itself the tal
RT @Neuro_Skeptic: 21% of the genome contributes to variation in human height https://t.co/W622Tt0F6a I bet for mental health outcomes, it'…
RT @dr_appie: A century ago, height helped to reconcile Mendel’s laws with the inheritance of complex traits. Now, @LoicYengo et al made it…
@antonioregalado @Etnosoterico The current scores are already getting there (see tweet below). If all genetic effects are captured (as in the situation described in the tweet above), then the prediction will easily exceed the prediction from the parental a
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
Prediction value = 0. The dream of precision medicine and precision nutrition was never evidence based but only extrapolated from preliminary studies hyped by profit makers and ego seekers. Genetics is a precision tool and not a hammer.
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
RT @StefanMundlos: GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs accoun…
GWAS studies of height showcase that the promises of precision medicine are unrealistic: 12,111 independent SNPs account account for only 40% of phenotypic variance in Europeans and only 10–20% in other populations. Prediction value = 0 https://t.co/4lgKk
@scienceetvieus Scientists uncover nearly all genetic variants linked to height. If the specific parts of the genome to certain traits can be mapped, it opens the door to targeted, personalized treatments that could benefit people everywhere. https://t.co/
Study of over five million people's DNA reveals genetic links to height https://t.co/8yyEYFJ6wd https://t.co/snehZVQuq2 https://t.co/pFK7QvRVDK
RT @TaketoraShingu: 身長の遺伝率は50%ほど。 テレビの仕事してたおかげで、高身長のモデルの友達が多いですが、 両親が背が高くなくて、お父さんが175㌢以下でも、180オーバーの人とかも結構います。 モデル友達曰く、睡眠時間が長いことが大事とか言ってました。
RT @TaketoraShingu: 身長の遺伝率は50%ほど。 テレビの仕事してたおかげで、高身長のモデルの友達が多いですが、 両親が背が高くなくて、お父さんが175㌢以下でも、180オーバーの人とかも結構います。 モデル友達曰く、睡眠時間が長いことが大事とか言ってました。
身長の遺伝率は50%ほど。 テレビの仕事してたおかげで、高身長のモデルの友達が多いですが、 両親が背が高くなくて、お父さんが175㌢以下でも、180オーバーの人とかも結構います。 モデル友達曰く、睡眠時間が長いことが大事とか言ってました。
4. Being a GWAS scientist, this is what I'd consider the biggest biggest story of 2022. A GWAS of height in 5.4 million individuals has revealed what would be the end of a GWAS journey or perhaps the beginning of the end. https://t.co/M3j1eAzutP
RT @ewanbirney: Some post-Christmas dinner reading (in between my new books and some long beach walks...) included this October 2022 tour d…
RT @ewanbirney: Some post-Christmas dinner reading (in between my new books and some long beach walks...) included this October 2022 tour d…
🧵
Bookmarking the thread,
RT @ewanbirney: Some post-Christmas dinner reading (in between my new books and some long beach walks...) included this October 2022 tour d…
Some post-Christmas dinner reading (in between my new books and some long beach walks...) included this October 2022 tour de force on GWAS of height by Loïc Yengo as first author with Joel N. Hirschhorn and Peter Visscher as two senior authors https://t.co
Puedes leer el artículo entero de @Nature aquí: https://t.co/elnyR6Og4t
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ
RT @SangHeeFLee: 키를 결정하는 유전자 변이 무려 1만2천종을 확인한 논문이 발표되었는데 ㄷㄷ 결국 유전자 영향은 40% 이라고 함. 논문: https://t.co/HVwY1uoXpQ