Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @arbelharpak
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @arbelharpak
-
Prikvačeni tweet
In work by
@Hakha_Most@molly_przew@daltonconley@jkpritch, we checked whether polygenic scores can be assumed to be portable *within* an ancestry group. They cannot. https://www.biorxiv.org/content/10.1101/629949v1 … [[thread]]Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I think this is key for almost all applications of polygenic scores, and specifically for tackling the portability problem.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One more lingering question: can the portability problem be mitigated by borrowing ideas from other fields, e.g. where the learning and prediction sets are known to differ in important ways? (<-- not a rhetorical question) https://twitter.com/anshulkundaje/status/1125887976896995329 … h/t
@anshulkundajePrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We developed a test to detect the substantial effect of either population structure confounding, assortative mating or indirect genetic effects. But there is still work ahead to *quantify* the contribution of direct genetic effects vs. other factors to polygenic scores.pic.twitter.com/tLYJ1U1hND
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks to a reviewer suggestion, we matched the “diverse” GWAS (eg a sample of an equal number of men and women) sample size to the non-diverse GWAS (eg only men or only women). This helps demonstrate that the performance/portability of diverse samples is not necessarily better.pic.twitter.com/cAhZFRMD7k
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We hypothesize instead that there are large differences in genetic variance across strata. In other words, this is potential evidence for substantial GxE.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We initially expected heritability differences to have little to do with genetic effects; and that they are mostly due to independent differences in environmental variance across strata. However, such a model does not fit the data.pic.twitter.com/SzWkmyFAEQ
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One analysis that we had not highlighted previously asks why SNP heritability estimates vary dramatically across (socio-economic status/sex/age) strata.pic.twitter.com/CPiJx4hF9n
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our key takeaways can be found in these longer threads. https://twitter.com/arbelharpak/status/1125825650386927617 …https://twitter.com/molly_przew/status/1126150189612400640 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
An updated version of our (
@hakha_most@iagarwal2@daltonconley@jkpritch and@molly_przew) work on the factors affecting the performance of polygenic scores--beyond genetic ancestry—is accepted and now up@eLife https://elifesciences.org/articles/48376 [thread]pic.twitter.com/4PHQXiQJwm
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arbel Harpak proslijedio/la je Tweet
This is incorrect. Here's some recent lit on how & why existing PGS methods do not fully separate genetic from environmental effects on traits, particularly when comparing across populations. https://www.ncbi.nlm.nih.gov/pubmed/22306651 https://elifesciences.org/articles/39725 https://www.biorxiv.org/content/10.1101/629949v1 …https://twitter.com/WSJopinion/status/1222143491591020544 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arbel Harpak proslijedio/la je Tweet
The Leffler Lab is launching! We have opportunities for grad students and postdocs to work on human and macaque evolutionary genomics, malaria adaptation, structural variation, and more -- see http://lefflerlab.org for further info and get in touch!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Piece
@VICE today by@d_samorodnitsky on the income GWAS study ending with some (not far-fetched) speculations on the underlying motivationhttps://www.vice.com/en_ca/article/jgepv8/a-study-tried-to-use-genetics-to-explain-why-people-are-poor …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
But for all other applications/interpretations, perhaps we would only gain from holding off until we have a better handle on this, e.g. a decomposition of GWAS associations into the various contributing factors?https://twitter.com/ewanbirney/status/1206909347697176576 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
by no means should my thoughts stop anyone from CRISPRring
@pastramimachine https://twitter.com/pastramimachine/status/1206787935644737536 …Tweet je nedostupan.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
*re the low h2: even this nonzero SNP heritability estimates are quite possibly aided by {stratification, mating patterns, indirect effects} in the same way that prediction accuracy is aided by them
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
But to me, this combination just emphasizes the near-impossibility of saying anything meaningful about causality with GWAS data here. Downstream analysis, importantly MR, are not at all immunehttps://twitter.com/hjpimentel/status/1206819578187116545 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
To be fair, the magnitude of the evidence here is due to a combination of (1) the presence of these factors and (2) the low* SNP heritability of household income.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In our test for the substantial effect of {population stratification, assortative mating and indirect genetic effects} on UKB GWAS associations, household income almost won the most-clearly-problematic pageantpic.twitter.com/cHxvoMqpX2
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arbel Harpak proslijedio/la je Tweet
(Thread) New preprint out. Population genetics of the coral Acropora millepora: Towards a genomic predictor of bleaching. https://www.biorxiv.org/content/10.1101/867754v1 … We are very excited about this work, here a few of the highlights (1/n)
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arbel Harpak proslijedio/la je Tweet
New paper in
@CellCellPress! We provide an empirical and theoretical evaluation of the expected outcomes of selecting human IVF embryos for traits such as height or IQ. 1/10 With@ehudkar, Or Zuk,@ToddLencz, and others.https://www.cell.com/cell/fulltext/S0092-8674(19)31210-3 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.