The Pritchard Lab

Departments of Genetics and Biology, Stanford University

Howard Hughes Medical Institute



Welcome to the Pritchard Lab Website. Our group uses statistical and computational methods to study questions in genomics and evolutionary biology.

Much of our work focuses on questions relating to genetic variation and evolution. What can we learn from DNA sequence data about population structure, population histories and natural selection? How does genetic variation impact phenotypic traits, both at the organismal and cellular level (including an emphasis on gene regulation)?

We often work on problems where there are no off-the-shelf statistical methods. Thus, an important part of our work is in developing appropriate statistical and computational approaches that can yield new insights into biological data.


Useful links

The STRUCTURE software page
The SciReader website for scientific recommendations

Jonathan Pritchard homepage and CV
Stanford Genetics
Stanford Biology and Eco-Evo group
Center for Computational and Evolutionary Genomics
Stanford Bio-X and Clark Center


Lab News

11/11/2014. Our new website SciReader for scientific recommendations is out in beta release. You can check it out here: SciReader.org. Well done Priya, Natalie, Yonggan!

11/11/2014. Bryce and Graham's paper and software on unbiased allele-specific read mapping and powerful QTL mapping is out on bioRxiv and the corresponding WASP software is on GitHub.

9/22/2014. Lots of new arrivals this month: David, Yang, Anand and Emily; visiting scholars: Audrey, Towfique and Kyle. Welcome!

8/07/2014. This week we are moving into our long-term lab space in the Clark Center! We are very happy to be in the new space. In other news, Anand has been awarded a CEHG fellowship for next year. Well done, Anand!

6/24/2014. Alexis will be starting her own lab next month at Johns Hopkins in the departments of CS and Biostats [Link]. We wish her all the very best in her new position!!

6/24/2014. Well done to Eilon on winning the prestigious EMBO fellowship! David Golan, who will be joining in September has been awarded the Rothschild and Fulbright fellowships. Congrats to both!!

6/24/2014. Xun and Nick's paper on genetic influences on DNA methylation is out on bioRxiv [Link].

4/29/2014. Anil's fastSTRUCTURE paper is now out in Genetics: Link.

Alexis will be speaking next week at Biology of Genomes about her work with Zia and Sydney on understanding the effects of genetic variation on mRNA, translation and proteins.

4/2/2014. Darren Cusanovich's paper on knockdown of TFs in LCLs (with Yoav's lab) is out now in PLOS Genetics: Link. Choongwon Jeong's paper on adaptive introgression of high altitude adaptations from Sherpa into Tibetans (collaboration with Anna Di Rienzo's lab), is out now in Nature Communications: Link.

4/1/2014. Bon voyage to Heejung Kim; she spent the winter term visiting us from Matthew's lab in Chicago.

3/1/2014. Welcome to Yair who has now arrived from Chicago with his family!

2/10/2014. Our paper on genetic load in human populations, joint with Guy Sella's lab, is out now in Nature Genetics. Well done to Yuval Simons (in Guy's lab) and Michael Turchin (now in Matthew Stephens' lab)! Link.

2/10/2014. Welcome to our new postdoc Eilon Sharon, who has moved here from Eran Segal's lab. Eilon will be joint with Hunter Fraser's lab. Welcome also to this term's rotation students: Peyton Greenside, Natalie Telis, Diego Calderon, Arbel Harpak and Emily Glassberg!

12/6/2013. Joe Davis has written a great blog post about Graham and Bryce's recent paper on genetic variation and histone modification.

12/4/2013. fastSTRUCTURE is out! Links to Anil's manuscript and beta-release software are here.

12/4/2013. Thanks to Christine Vogel for her perspective on Zia's evolution of mRNA/protein paper.

11/12/2013. Welcome to Yonggan and Priya who are joining the lab this month!

11/12/2013. Congrats to Jack/Athma/Roger whose paper on DNase QTLs was chosen as one of the top papers of 2012 in Regulatory and Systems Genomics at the RECOMB/ISCB meeting.

11/1/2013. There's a nice perspective in NRG by Hannah Storey on 4 recent papers--including one by Graham and Bryce--that studied the effects of genetic variation on histone mods.

10/30/2013. Kudos to Shyam for winning the prestigious Charles Epstein Trainee Research Award (postdoc division) for his talk at ASHG on historical inference for African populations. Graham Coop is a previous winner from our lab (in 2007).

10/22/2013. Congratulations to lab alum Joe Pickrell who has just accepted a position as one of the first faculty at the New York Genome Center. In addition, Zia Khan is now in transit to his first faculty position--in CS at U. Maryland. Good luck to both!

10/22/2013. Darren's paper on knockdown experiments targeting 59 TFs is out on ArXiv.

10/17/2013. Zia and Graham/Bryce have a pair of papers out in Science today: evolution of protein expression in primates and effects of genetic variation on histone modifications. Congrats to Zia, Graham and Bryce!

10/17/2013. Ben Voight's 2006 paper on selection was highlighted in a nice blog article by Emma Ganley as part of the 10th anniversary celebrations at PLOS Biology.

10/11/2013. Welcome to our first two Stanford rotation students: Ilana Arbisser from the Biology department and Michael Sikora from Genetics!

8/1/2013. We are delighted to be moving to Stanford University. This will be a fantastic academic environment and a great place to live. That said, we will miss our many friends at the University of Chicago, where the lab was based for 12 years.

8/1/2013. Welcome to our newest postdoc Alexis Battle! It's great to have her onboard.

8/1/2013. Welcome to Anil, Stoyan and Xun, who are arriving at Stanford this month. The rest of the lab will follow soon or work from Chicago during the transitional period.

5/10/2013. Our paper with Guy Sella's lab "The deleterious mutation load is insensitive to recent population history" is out on arXiv. We show that the mutation load is very similar in European and African Americans, and argue that rare mutations are only likely to be important for traits that have direct fitness consequences.