Causal interpretations of family GWAS in the presence of heterogeneous effects
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
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 & @mollyprz.bsky.social ) evaluate such statements.
www.biorxiv.org/content/10.1... 1/n
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When the HBD weirdos start posting racist pseudo science online
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Professor of Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
🏳️🌈 Mathematician. Shape rotator extraordinaire. Stats. Genetics! Postdoc (USC)
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Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
associate professor UCLA. population and evolutionary genetics. www.goldberglab.org
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
Computational and statistical genetics. Excited about all things science. Professor of genetics at UPenn. Views my own.
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Assistant professor @USC. Modeling cell fate with dynamical systems & statistical inference. What makes a stem cell? macleanlab.usc.edu he/him
Faculty at Emory Human Genetics, periodically cool dad, typical Boston sports fan (sorry), big believer in Dunning-Kruger effect
Assistant prof at UCLA using the Bayes for the genomes https://pimentellab.com
henfluencer - geriatric millennial - #stopasianhate - don’t call me Clem - emotional eater™️- he/him- @chowlab
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Studying gene regulation and transcription factor binding with machine learning. Assoc Prof at Penn State. 🇮🇪
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
Genetics & Evolution, Faculty at Stanford & Freeman Hrabowski Scholar at HHMI. My views do not reflect those of my employer.
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Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Cardiologist, genetics researcher.
Massachusetts General Hospital | Harvard Medical School | Broad Institute of Harvard & MIT
Computational genomics and human genetics. Associate Professor @ Columbia University
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Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
Professor at KTH, NY Genome Center, SciLifeLab, working on functional genomics and human genetics.
