I'm delighted to release the first half of my new open-access online textbook in human population genetics:
web.stanford.edu/group/pritchar…
The book aims to provide a unified view of human variation, population genetics, human history and trait genetics / GWAS
I wrote this partly because I find a lack of suitable readings for teaching, and partly to connect the popgen and statgen world views in an accessible format

Sharing this in case it's useful: I find that students often have a hard time conceptualizing quantitative parameters in genomics and popgen

Here's a cheat-sheet I put together for teaching. It's also part of a textbook I have been writing on human genetics (more on that below) Here is the text that goes with it:

Today marks the 25th anniversary of Neil Risch and Kathleen Merikangas' classic 2-page paper that articulated GWAS as the future of human genetics. A short thread.
www-leland.stanford.edu/~huatang/gene2… Risch and Merikangas argued that linkage mapping had been ineffective at finding complex trait loci, and that association mapping would be far more powerful. In this power analysis they compared allele-sharing (linkage) and TDT (association) tests using trios and quartets:

What an amazing Olympics that was, despite everything! Here are some (track) highlights from my perspective, with video clips. My performers of the meet: Sifan Hassan and Karsten Warholm. In case you missed it, the Dutch woman Sifan Hassan won two golds (5+10) and bronze (1500). It's hard to put into words how awesome her range is +her huge kick. Here she falls in a qualifying round of the 1500, gets up to win (and wins the 5000 that night)

https://twitter.com/suprgeek/status/1422253241035726861

Yesterday I ran a thread about our new paper using UK Biobank GWAS to identify core genes for several traits:

https://twitter.com/jkpritch/status/1253066314802839552

Today I want to expand on some fascinating things that we learned about sex differences in testosterone. We and other groups have recently noticed strong sex differences between males and females in testosterone genetics (our analysis led by Sahin Naqvi @snaqvi1990 and Nasa Sinnott-Armstrong). Lead hits for testosterone share ~no overlap, and highlight different types of genes

Our latest: "GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background": biorxiv.org/content/10.110…
We use urate, IGF-1, and testosterone as model molecular traits to learn general principles about the architecture of complex traits. Most importantly, this project is thanks to wonderful work by Nasa Sinnott-Armstrong and Sahin Naqvi @snaqvi1990 in my lab; thanks also @manuelrivascruz whose work with Nasa doing GWAS of UK Biobank biomarkers led to this project.

Delighted to share our latest work, on ancient DNA of individuals from in and around Rome, spanning the last 12,000 years. At its peak Rome was the largest city of the ancient world with 1M inhabitants, controlling an empire of 70M people
science.sciencemag.org/content/366/64… This was a wonderful collaboration with Ron Pinhasi and Alfredo Coppa; work was led by amazing people in my lab: @antmarge, @ziyue_gao, @mootspoints and other fantastic collaborators: @gaspi60 @ersilia_maria @diegoisworking @daniMfernandes @SerenaAneli @danjcotter @bigskybioarch