Author

M. Sohail

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1

Frequent Co-Authors

A. Bloemendal· 1 shared A. Ganna· 1 shared A. R. Martin· 1 shared B. J. Arnold· 1 shared B. M. Neale· 1 shared C. W. K. Chiang· 1 shared C. Wadsworth· 1 shared D. Reich· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperEvolutionary Biology

A. Bloemendal

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3 papers

Recent·Most cited

The trait specific timing of accelerated genomic change in the human lineage

E. Kun, M. Sohail, V. M. Narasimhan

The paper examines trait-specific genomic changes in human evolution by analyzing GWAS data and evolutionary regions, finding more phenotypes enriched in early divergence periods with macaques and chimps than in Neanderthal divergence.

bioRxiv · Feb 28, 2022Evolutionary Biology

Fine-scale haplotype structure reveals strong signatures of positive selection in a recombining bacterial pathogen

B. J. Arnold, M. Sohail, C. Wadsworth, J. Corander, W. P. Hanage, S. Sunyaev, Y. Grad

The paper identifies strong signatures of positive selection in Neisseria gonorrhoeae by analyzing fine-scale haplotype structure and linkage patterns between nonsynonymous alleles.

bioRxiv · May 10, 2019Evolutionary Biology

Signals of polygenic adaptation on height have been overestimated due to uncorrected population structure in genome-wide association studies

M. Sohail, R. M. Maier, A. Ganna, A. Bloemendal, A. R. Martin, M. C. Turchin, C. W. K. Chiang, J. N. Hirschhorn, M. J. Daly, N. Patterson, B. M. Neale, I. Mathieson, D. Reich, S. R. Sunyaev

The paper shows that polygenic adaptation signals for height are overestimated due to uncorrected population structure in GWAS data.

bioRxiv · Jul 9, 2018Evolutionary Biology