Carl Veller
@carl_veller
Assistant Professor, Ecology & Evolution @UChicago. Population genetics, theoretical biology.
ID:777973758380433409
19-09-2016 20:52:52
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Here is a shameless plug for my first postdoc paper, a big collaboration with lots of cool people at UCSC, particularly co-first author Chloe Orland.
Read it to learn about abalone, population bottlenecks, IBD (or lack thereof), and chrom. inversions!
onlinelibrary.wiley.com/doi/full/10.11…
So as Carl Veller & I discuss in our article, while within family-study effect-size estimates for single SNPs are interpretable, the interpretation of the within-family regression of trait value on PGS is more challenging due to confounding.
Thanks to Alexander Strudwick Young for this useful commentary on our paper. As Alex’s piece highlights, family studies are a great way forward. But as he also notes, one issue is that confounding (e.g. AM or env) can be baked into the polygenic scores that are subsequently used within-fam
To accompany Carl Veller and Graham Coop's recent article in PLOS Biology, I wrote an accessible primer on family-based genome-wide association studies:
Genome-wide association studies (GWASs) can be affected by confounding. Family-based GWAS uses random, within-family genetic…
.Carl Veller & Graham Coop present a theoretical analysis of the influence of #confounders in population- & family-based #GWAS , showing that family-based studies, though more rigorous, still carry subtle issues that arise from confounding. #PLOSBiology plos.io/3Qmu2hF
Congratulations to Carl Veller on the publication of his article on confounding in population and family GWAS PLOS Biology
journals.plos.org/plosbiology/ar…
New lab preprint by John McAuley : the genetic architecture of recombination rates is sexually-dimorphic and polygenic in wild house sparrows. What have we found…? A 🧵👇 (Image:Tilly (Matilda S) Scott)
biorxiv.org/content/10.110…
Family-based GWAS have become the gold standard for assessing causal genetic effects. They’re often said to offer an unbiased estimate of the average causal effect (ATE) of an allele or PGS. Here, we (Carl Veller Molly Przeworski) evaluate such statements.
biorxiv.org/content/10.110… 1