RT @SashaGusevPosts: @AporiaMagazine @KirkegaardEmil The issue of interpreting group differences with PGIs is discussed in: Martin 2017 [ht…
@EPoe187 EK's methods have now been refuted in a half dozen different publications (I'll cite them again: https://t.co/ey69qlg15Q). He has no response so he wants to waste people's time with debates instead.
@workercommie @galtonboards @yarbsalocin @lu_sichu @thebirdmaniac @Sean__Last @AporiaMagazine @KirkegaardEmil yes but no one on here actually reads anything: https://t.co/ey69qlftgi
RT @SashaGusevPosts: @AporiaMagazine @KirkegaardEmil The issue of interpreting group differences with PGIs is discussed in: Martin 2017 [ht…
RT @SashaGusevPosts: @AporiaMagazine @KirkegaardEmil The issue of interpreting group differences with PGIs is discussed in: Martin 2017 [ht…
RT @SashaGusevPosts: @AporiaMagazine @KirkegaardEmil The issue of interpreting group differences with PGIs is discussed in: Martin 2017 [ht…
@AporiaMagazine @KirkegaardEmil The issue of interpreting group differences with PGIs is discussed in: Martin 2017 [https://t.co/ZLWZP83zgu], Kim 2018 [https://t.co/G9feyRw9zv], Novembre 2018 [https://t.co/YUuL56GT3l], Rosenberg 2019 [https://t.co/V6v6z6kf
@cum__guzzler @SashaGusevPosts @KirkegaardEmil @Legitimate_Yam @wil_da_beast630 @BronskiJoseph @DavidePiffer Here's a paper explaining how systematic biases in PGS against Africans arise in actual data https://t.co/K7cLGUPpZ4
RT @thebirdmaniac: @byrdshouse @mistahbuhau @rico_rants There are larger technical issues with this analysis too. Murray's dataset is outda…
@byrdshouse @mistahbuhau @rico_rants There are larger technical issues with this analysis too. Murray's dataset is outdated and shows biased frequency differences because of peculiarities of genome-wide association methods and our evolutionary history http
One paper exploring this issue is https://t.co/piPl5zI94f! #MLinGenomics
@shihuwenbo @yluo86 @angelcymak @Linda_Kachuri @RossenJordan Are the variants restricted to the UKB genotyping chip or you imputed using an imputation reference ? There are reported biases introduced by genotyping chips https://t.co/Ah5rvqmThT (another po
Genetic disease risks can be misestimated across global populations https://t.co/b6vwTSc6sD
@UDepravity @edgydeads You can read the paper, but https://t.co/F5QToY8kdF https://t.co/HmRslsNIYx https://t.co/dJVozZdj8p https://t.co/hKXHZsVQ4b
@Kodi_bear @gschifini @NicoleBarbaro @AdamRutherford There are larger technical issues with this analysis too. Murray's dataset is outdated and shows biased frequency differences because of peculiarities of genome-wide association methods and our evolution
RT @KirkegaardEmil: Really good paper on issues with PGSs across populations stemming from ancestral and derived alleles. #genomics https…
RT @KirkegaardEmil: Really good paper on issues with PGSs across populations stemming from ancestral and derived alleles. #genomics https…
RT @KirkegaardEmil: So when can we get GWASs on Africans? African Americans are partially European, but one can disregard these parts of th…
RT @KirkegaardEmil: Really good paper on issues with PGSs across populations stemming from ancestral and derived alleles. #genomics https…
RT @KirkegaardEmil: So when can we get GWASs on Africans? African Americans are partially European, but one can disregard these parts of th…
RT @KirkegaardEmil: Really good paper on issues with PGSs across populations stemming from ancestral and derived alleles. #genomics https…
So when can we get GWASs on Africans? African Americans are partially European, but one can disregard these parts of their genomes for GWAS purposes to avoid influence on results. Million Veterans Project will presumably have >200k African Americans.
Really good paper on issues with PGSs across populations stemming from ancestral and derived alleles. #genomics https://t.co/0Pf43DRbIi https://t.co/jsYW7pqS9B
@RomelloDelomand @parabellummmm @RVrijj @JoeyBenny4 @sillyolyou @gcochran99 @Pathdom @Communism_Kills Despite their limitations of marker number they at least don't have systematic biases like polygenic methods https://t.co/HmRslsNIYx
(From Kim et al., 2018: https://t.co/ulf1dpcz6i)
@phl43 @Evolving_Moloch @hbdchick @rasmansa @EPoe187 @BenWinegard One do not expect these kind of systematicity toward increase risk in Africans. But demography can explain it and linkage is unlikely. https://t.co/1TzSj4DwoS
@capitalismandf1 @PsychRabble This is a basic misunderstanding of what GWAS tell us. Here are two papers that discuss the issues with extrapolating results from one population to another: https://t.co/6s5dNeHMhZ https://t.co/TedngItSMq
RT @KirkegaardEmil: Sneaky biases in cross-population polygenic comparisons due to discovery ancestry bias. #genomics https://t.co/RqeknJ…
Sneaky biases in cross-population polygenic comparisons due to discovery ancestry bias. #genomics https://t.co/RqeknJdnmj https://t.co/rkjMCMyQPY
@phl43 @sillyolyou On the whole gwas business. Even in the absence of differences in genetic propensities, european gwases will generically overestimate risk for African derived popualations. African gwases will be unbiased. Read this paper on this. http
@Arrianna_Planey @postdiscipline @prof_goldberg https://t.co/Ah5rvqEu9r A good reference for the systematic bias that can be induced by variant discovery population. Here it is shown that genetic risk will be trivially inflated for people with appreciable
@DavidePiffer @sillyolyou @CanWeChill44 @RoyAFrye1 @Anthrofuentes https://t.co/Ah5rvqmThT Hopefully, this will inform you.( i m generous, since here i m assuming that there is real signal in gwas data, at least for British people).
@CanWeChill44 @RoyAFrye1 @Anthrofuentes @DavidePiffer https://t.co/Ah5rvqmThT Does any of these guys believe the graph on cardiovascular diseases polygenic scores ?
@DavidePiffer @CanWeChill44 @RoyAFrye1 @Anthrofuentes https://t.co/Ah5rvqmThT And as to the fact that current GWAS summary stats are biased, there are population genetics reasons why.
Genetic disease risks can be misestimated across global populations https://t.co/DVJJdwxHHO
@ATorkamani @cecilejanssens Why the hell they are doing this kind of analysis on samples with heterogeneous ancestry given what we know ? https://t.co/X7MxlKczm1 https://t.co/zuvlw3lukq
@RoyAFrye1 @kph3k You can't do cross-pop PGS! https://t.co/HmRslsNIYx https://t.co/lL4jNwn17G https://t.co/F5QToY8kdF
@itsbirdemic @MontyRyder https://t.co/Ah5rvqmThT When they say, just compute the mean genetic risk scores by population, they are either ignorant or purposefully dishonest ( or a mix of the two i.e self delusion).
@gcochran99 @amy_harmon @PKoellinger @thessgac @DPosthu https://t.co/Ah5rvqmThT You are either an ignoramus or dishonest. In either case you look bad.
@cecilejanssens @Graham_Coop @jkpritch Biases in PRS/GRS arise not only due to lack of diversity in discovery GWAS but also inherent biases in genotyping arrays with SNPs selected from Europeans https://t.co/Uc3gq2d4Go https://t.co/JUGmaogPOL
Genetic disease risks can be misestimated across global populations https://t.co/s8JioeZikV
RT @GlobalGeneCorp: "Polygenic risk scores can be grossly misestimated for individuals of African descent." #globalgenome https://t.co/WJyA…
"Polygenic risk scores can be grossly misestimated for individuals of African descent." #globalgenome https://t.co/WJyAWsNhbH
RT @manuelcorpas: Genetic disease risks can be misestimated across global populations https://t.co/zlvlKgBbNj
Genetic disease risks can be misestimated across global populations https://t.co/zlvlKgBbNj
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
RT @Joni_Coleman: Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry…
Interesting paper suggesting (among other things) we should be investing heavily in African GWAS to yield cross-ancestry translatable genetic associations. Genetic disease risks can be misestimated across global populations https://t.co/875enm1VZ6
GiGo?
Polygenic risk scores can be misestimated across global populations https://t.co/OdqAyC5EKC #
RT @strnr: Genetic disease risks can be misestimated across global populations https://t.co/YAam7NVOlf https://t.co/kS116WhMCb
Genetic disease risks can be misestimated across global populations https://t.co/l9RSCncRWr
Genetic disease risks can be misestimated across global populations https://t.co/QGOoDfLS5Z
RT @strnr: Genetic disease risks can be misestimated across global populations https://t.co/YAam7NVOlf https://t.co/kS116WhMCb
RT @KirkegaardEmil: Work being done on reducing the ancestry related predictive biases in polygenic scores. https://t.co/0Pf43DRbIi https:…
RT @KirkegaardEmil: Work being done on reducing the ancestry related predictive biases in polygenic scores. https://t.co/0Pf43DRbIi https:…
RT @KirkegaardEmil: Work being done on reducing the ancestry related predictive biases in polygenic scores. https://t.co/0Pf43DRbIi https:…
Work being done on reducing the ancestry related predictive biases in polygenic scores. https://t.co/0Pf43DRbIi https://t.co/m2MWzzxDjC
Nice to see an objective study start to quantify the shortcomings of analyses based on data that lack adequate genetic diversity. We need to engage and research under-represented populations to improve all models. @Luna_DNA https://t.co/HDQImFR02h
RT @strnr: Genetic disease risks can be misestimated across global populations https://t.co/YAam7NVOlf https://t.co/kS116WhMCb
RT @strnr: Genetic disease risks can be misestimated across global populations https://t.co/YAam7NVOlf https://t.co/kS116WhMCb
Genetic disease risks can be misestimated across global populations https://t.co/YAam7NVOlf https://t.co/kS116WhMCb
Genetic disease risks can be misestimated across global populations https://t.co/DSLXGiPeur https://t.co/ThtbrT3pzH