Matthew Stephens
Affiliations: | Human Genetics | University of Chicago, Chicago, IL | |
| University of Washington, Seattle, Seattle, WA |
Area:
genetics, statisticsWebsite:
http://stephenslab.uchicago.edu/index.htmlGoogle:
"Matthew Stephens"Mean distance: 16.44 (cluster 29)
Cross-listing: GenetiTree
Parents
Sign in to add mentor| Brian David Ripley | grad student | Oxford (MathTree) | |
| Peter Donnelly | post-doc | Oxford (MathTree) |
Children
Sign in to add trainee| Michael Turchin | grad student | 2012- | Chicago |
| Sarah Urbit | grad student | 2013- | Chicago |
| Garrett Hellenthal | grad student | 2006 | University of Washington |
| Paul A. Scheet | grad student | 2006 | University of Washington |
| Xiaoquan Wen | grad student | 2011 | Chicago |
| Desislava Ivova Petkova | grad student | 2013 | Chicago |
| Barbara Elizabeth Engelhardt | post-doc | Chicago | |
| Jean Morrison | post-doc | Chicago (MathTree) | |
| Gao Wang | post-doc | Chicago | |
| Matthew Barber | post-doc | 2006-2010 | Chicago |
| Yongtao Guan | post-doc | 2006-2010 | Chicago |
BETA: Related publications
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Publications
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| Zhao S, Crouse W, Qian S, et al. (2024) Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits. Nature Genetics |
| Zou Y, Carbonetto P, Xie D, et al. (2023) Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model. Biorxiv : the Preprint Server For Biology |
| Morgante F, Carbonetto P, Wang G, et al. (2023) A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. Plos Genetics. 19: e1010539 |
| Zou Y, Carbonetto P, Wang G, et al. (2022) Fine-mapping from summary data with the "Sum of Single Effects" model. Plos Genetics. 18: e1010299 |
| Barbeira AN, Bonazzola R, Gamazon ER, et al. (2021) Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. Genome Biology. 22: 49 |
| Gerard D, Stephens M. (2021) Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls Statistica Sinica |
| Wang G, Sarkar A, Carbonetto P, et al. (2020) A simple new approach to variable selection in regression, with application to genetic fine mapping. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 82: 1273-1300 |
| Kim-Hellmuth S, Aguet F, Oliva M, et al. (2020) Cell type-specific genetic regulation of gene expression across human tissues. Science (New York, N.Y.). 369 |
| Oliva M, Muñoz-Aguirre M, Kim-Hellmuth S, et al. (2020) The impact of sex on gene expression across human tissues. Science (New York, N.Y.). 369 |
| Zhang Z, Luo K, Zou Z, et al. (2020) Genetic analyses support the contribution of mRNA N-methyladenosine (mA) modification to human disease heritability. Nature Genetics |