Doc Edge Profile picture
Assistant professor in quantitative and comp. bio @USC. Population genetics, statistics. Author of Statistical Thinking from Scratch, OUP 2019.
Apr 18, 2022 27 tweets 15 min read
2022 is the 50th anniversary of Lewontin’s “The apportionment of human diversity." (L72 hereafter.) Today a special issue is published celebrating L72, appearing in Phil Trans B @RSocPublishing (co-editors myself, @s_ramach, @NoahARosenberg) (1/n) royalsocietypublishing.org/toc/rstb/377/1… The cover of a special issue of Philosophical Transactions o Lewontin’s paper is one of the most celebrated studies in human genetics. It provided a new statistical framework for analyzing genetic variation, as well as the oft-quoted result that the great majority of human genetic variation lies within, rather than among, populations (2/n)
Oct 22, 2019 22 tweets 7 min read
(Thread) Here’s my new preprint, with @Graham_Coop, on genetic privacy in genealogy databases that allow user uploads. (1/n)

biorxiv.org/content/10.110… We also wrote an explainer that’s posted on Graham’s blog (2/n)

gcbias.org/2019/10/22/pap…
Jan 9, 2019 25 tweets 5 min read
(1) Last week, I posted the below thread on polygenic scores and have been pulled into almost-unrelated convos on Race and IQ since (my choice to engage, obv.) Here's a (v. long) thread w/ thoughts on these interactions.
(2) This will be a mostly opinion w/ a bit of science. I'm muting it right away, and if you @ me with this I might mute or block you. I'm writing this bc I find myself being reactive in conversations I don't want to be a part of.
Jan 5, 2019 20 tweets 5 min read
(1) Here's an explainer thread on our new paper on the difficulties of interpreting polygenic score differences between populations. Paper w/ Noah Rosenberg, @jkpritch, and Marc Feldman, but speaking for myself here: academic.oup.com/emph/advance-a… (2) With so much genome-wide association study (GWAS) data becoming available, it's become easy to compute mean polygenic scores for human populations for many traits, which are mean values of phenotypes predicted from genetic information.