Thrilled to announce that the Bradburd Lab is moving to join the Ecology and Evolutionary Biology department at the University of Michigan @umicheeb @umich in Fall 2022!

RT @ScienceMagazine: In a new Science study, researchers introduce GAIA, a statistical approach that seeks to learn the geographic position….

RT @SarahFitz: Beyond proud of @meaghansaurus for a spectacular defense of her PhD today! SLiM, snakes, genomics pedigrees, inbreeding depr….

RT @pastramimachine: Our lab group is recruiting for a new Postdoc to join us. We are looking for someone to work on projects in Deep Learn….

RT @NatureRevGenet: Inference and applications of ancestral recombination graphs #Review by @ras_nielsen, @andrewhv….

RT @DocEdge85: Super excited about this devious new method, DR EVIL, from @jgschraiber !

RT @DocEdge85: Yesterday I wrote a thread about why an infographic circulating was misinformation. I wanted to respond to some comments and….

RT @DocEdge85: This is wrong, but there is a lot of confusion about why (thread).

RT @s_ramach: Congrats to the whole team, especially our fearless leaders @petrelharp, @min_jiseon and my student Elsie Chevy, on this pape….

RT @DocEdge85: Two new preprints from my group today---this one was led by @Dandan_Peng with an assist from Obadiah Mulder. Dandan benchmar….

RT @biorxiv_evobio: Inferring the geographic history of recombinant lineages using the full ancestral recombination graph .

RT @GrndCtrl2_DrTom: New preprint!.This study identifies partial sweeps at insecticide resistance genes that have spread across Aedes mosqu….

10/10 Really excited for feedback on this - please reach out w/ thoughts/suggestions!.

9/n E.g., how much of your genome did you inherit from ancestors that lived inside some region X years ago. Using this definition, ancestry is not static - it changes through time as your ancestors (carrying the bits of genome that will end up in you) moved around.

8/n We think the method offers a big step forward for how to think about ancestry (particularly in humans): best defined with *explicit* reference to a point in space AND time.

7/n Despite these caveats, we think this is a useful approach. See below for the tanglegram for a single individual (in white): lots of recent ancestors ALL OVER; median ancestor location tracks out of Africa

6/n Also, important to note that the minimum cost migration surfaces become a lot flatter for ancestors deeper in the past because there's less information about exactly where they lived

5/n Note that this is not the same as the geographic history of human dispersal! We can only learn about *shared* genetic ancestors from the sequenced *sample*.

4/n We then apply it to a large sample of humans to infer the geographic history of human genetic ancestry. The plot below shows a visualization (a "tanglegram") of all the branches that connect all the modern day samples to all of their ancestors through space and time.

3/n We tested it using simulations under a variety of scenarios and dispersal kernel shapes, and found that we can accurately recover ancestor locations, even relatively far in the past

2/n The method works by using Sankoff parsimony on the local genetic genealogies to infer minimum migration cost surfaces for each ancestral node (conceptual illustration below). The algorithm is fast; we can analyze genomic datasets w/ 100s-1000s of samples.