
Alex Strudwick Young
@alextisyoung
Asst. Prof. @ UCLA Human Genetics. Statistical geneticist. Mendelian inheritance is the most important natural experiment.
ID: 1109220144
https://alextisyoung.github.io/ 21-01-2013 14:55:41
3,3K Tweet
4,4K Followers
2,2K Following

Our paper on indirect assortative mating is now out in Nature Communications! In it, we provide refined definitions of terms used to explain partner similarity, develop statistical models, and find evidence of surprisingly high social homogamy for education. Link: nature.com/articles/s4146…






Studying the genetics of intelligence measures can help us understand the neurobiology of cognition and neurodevelopmental conditions 🧬🧠 We estimated missing intelligence test scores in UK Biobank to reduce bias and boost power. Preprint: medrxiv.org/content/10.110… Thread 👇



New preprint - collab with the groups of Matt Hurles and Abdel Abdellaoui. We imputed missing fluid intelligence test scores into ~170k UK Biobank individuals & showed how this increases power for rare+common variant analyses. medrxiv.org/content/10.110…


Sasha Gusev It is odd that Plomin is on the board of Nucleus — apparently offering within-family IQ screening for embryos — yet publishes a paper saying IQ prediction doesn't work very well within-family...

I helped Scott Alexander with this post. At least with respect to some traits (e.g. education, bmi), we are in an epistemic crisis about their heritability. We have multiple strong methods - twin studies, RDR, sibling, GREML-WGS - that are not converging on a consensus reality.



An article like this was definitely needed: easy to follow and outlines the conceptual territory well. Wanted to share some constructive feedback in this thread! cc: Scott Alexander







Our study led by R. Bhattacharya & Chris Marnell shows that, when simultaneously considering clinical, laboratory, and genetic risk factors for incident CAD prediction, the top 2 model explanatory factors are: 1. Hypertension 2. CAD polygenic risk score ahajournals.org/doi/10.1161/CI…
