Xinjun Zhang
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zhanglabpopgen.bsky.social
Xinjun Zhang
@zhanglabpopgen.bsky.social
Assistant Professor at the University of Michigan. Popgen/Evolgen, admixture everything, ML etc. More on www.zhanglabpopgen.org
Amazing!! Congratulations!!!
June 3, 2025 at 3:43 PM
Thank you!
May 8, 2025 at 7:26 PM
Thanks Bernard!!
May 8, 2025 at 4:41 PM
n/n This was my last postdoc project that finally got completed with tremendous help from my postdoc mentors Kirk and Sriram, two UMich biostats MS students (Jiongxuan Yang and Lingxuan Zhu), and many colleagues and friends in MI and CA (esp. Jazlyn Mooney). Can't thank them all enough!
May 8, 2025 at 3:08 PM
6/n Overall, we show that recessive deleterious mutations not only exist on the human genome, but also are not uniformly distributed and are mostly found in regions regulating metabolism and immune functions (our detected regions include the HLA cluster)
May 8, 2025 at 3:06 PM
5/n We further investigated the biology of such regions and show they are 1) depleted of haploinsufficient genes, 2) depleted of long ROHs, 3) enriched with UKBB variants with evidence of fitting non-additive model, 4) experienced weaker historical BGS, and 5) more tolerant to LOF mutations
May 8, 2025 at 3:05 PM
4/n we applied DominL to 7 non-African pops in 1KG, and show that approx. 3-9% of the human genome is enriched with recessive deleterious mutation! This is important because dominance is very understudied in humans due to many constraints with methodology (eg. can't distinguish h from hs compound)
May 8, 2025 at 3:05 PM
3/n our method DominL shows decent power and robustness at finding genomic regions enriched with recessive deleterious muts (or close to fully recessive such as h<0.1; even if the model is trained using two extreme h values) at 1MB resolution, with exceptional accuracy in exon-dense regions
May 8, 2025 at 3:02 PM
2/n we developed an ML approach using Neanderthal ancestry as one of the key features and trained 13 ML classifiers with simulations using fully recessive vs fully additive deleterious mutations. After a rigorous performance comparison and feature selection, we picked a winner ML model
May 8, 2025 at 3:00 PM
1/n This is a spin-off of some earlier papers showing that recessive deleterious muts can confound adaptive introgression due to heterosis. And we ask a reverse-engineering Q: given the empirical archaic ancestry distribution, can we infer if any genomic region is enriched with recessive mutations?
May 8, 2025 at 2:59 PM
Superb!!! Congratulations Fernando!!!!
May 8, 2025 at 12:28 AM
Congratulations!! That's a fantastic department and they are lucky to have you!
May 5, 2025 at 6:21 PM