Publications

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2020
Liu, D. et al. A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk. Cancer Res 80, 4346-4354 (2020).
Sajuthi, S. P. et al. Type 2 and interferon inflammation regulate SARS-CoV-2 entry factor expression in the airway epithelium. Nat Commun 11, 5139 (2020).
Sajuthi, S. P. et al. Type 2 and interferon inflammation regulate SARS-CoV-2 entry factor expression in the airway epithelium. Nat Commun 11, 5139 (2020).
Sajuthi, S. P. et al. Type 2 and interferon inflammation strongly regulate SARS-CoV-2 related gene expression in the airway epithelium. bioRxiv (2020). doi:10.1101/2020.04.09.034454
Sajuthi, S. P. et al. Type 2 and interferon inflammation strongly regulate SARS-CoV-2 related gene expression in the airway epithelium. bioRxiv (2020). doi:10.1101/2020.04.09.034454
Werling, D. M. et al. Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex. Cell Rep 31, 107489 (2020).
2019
Weghorn, D. et al. Applicability of the Mutation-Selection Balance Model to Population Genetics of Heterozygous Protein-Truncating Variants in Humans. Mol Biol Evol 36, 1701-1710 (2019).
Wang, Q. et al. A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data. Nat Neurosci 22, 691-699 (2019).
Wang, Q. et al. A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data. Nat Neurosci 22, 691-699 (2019).
Wang, Q. et al. A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data. Nat Neurosci 22, 691-699 (2019).
Yang, H. et al. De novo pattern discovery enables robust assessment of functional consequences of non-coding variants. Bioinformatics 35, 1453-1460 (2019).
Yang, H. et al. De novo pattern discovery enables robust assessment of functional consequences of non-coding variants. Bioinformatics 35, 1453-1460 (2019).
Chen, H. et al. Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies. Am J Hum Genet 104, 260-274 (2019).
Chen, H. et al. Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies. Am J Hum Genet 104, 260-274 (2019).
Frésard, L. et al. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med 25, 911-919 (2019).
J Weissenkampen, D. et al. Methods for the Analysis and Interpretation for Rare Variants Associated with Complex Traits. Curr Protoc Hum Genet 101, e83 (2019).
Wainberg, M. et al. Opportunities and challenges for transcriptome-wide association studies. Nat Genet 51, 592-599 (2019).
2018
Hu, Y. et al. A common loss-of-function variant is associated with lower vitamin B concentration in African Americans. Blood 131, 2859-2863 (2018).
Hu, Y. et al. A common loss-of-function variant is associated with lower vitamin B concentration in African Americans. Blood 131, 2859-2863 (2018).
Westra, H. - J. et al. Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes. Nat Genet 50, 1366-1374 (2018).
Westra, H. - J. et al. Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes. Nat Genet 50, 1366-1374 (2018).
Slowikowski, K., Wei, K., Brenner, M. B. & Raychaudhuri, S. Functional genomics of stromal cells in chronic inflammatory diseases. Curr Opin Rheumatol 30, 65-71 (2018).
Wojcik, G. L. et al. Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies. G3 (Bethesda) 8, 3255-3267 (2018).
Wojcik, G. L. et al. Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies. G3 (Bethesda) 8, 3255-3267 (2018).
Bastarache, L. et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359, 1233-1239 (2018).
Bastarache, L. et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359, 1233-1239 (2018).
Sordillo, J. E., Kraft, P., Wu, A. Chen & Asgari, M. M. Quantifying the Polygenic Contribution to Cutaneous Squamous Cell Carcinoma Risk. J Invest Dermatol 138, 1507-1510 (2018).
2017
Gottlieb, A. et al. Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans. Genome Med 9, 98 (2017).
Aschard, H. et al. Covariate selection for association screening in multiphenotype genetic studies. Nat Genet 49, 1789-1795 (2017).
McAllister, K. et al. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. Am J Epidemiol 186, 753-761 (2017).
McAllister, K. et al. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. Am J Epidemiol 186, 753-761 (2017).
Zaitlen, N. et al. The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium. Genetics 205, 375-383 (2017).
Cassa, C. A. et al. Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nat Genet 49, 806-810 (2017).
Belbin, G. Morven et al. Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system. Elife 6, (2017).
Martin, A. R. et al. Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations. Am J Hum Genet 100, 635-649 (2017).
Martin, A. R. et al. Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations. Am J Hum Genet 100, 635-649 (2017).
Ritchie, M. D. et al. Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions. Am J Epidemiol 186, 771-777 (2017).
Kernohan, K. D. et al. Whole-transcriptome sequencing in blood provides a diagnosis of spinal muscular atrophy with progressive myoclonic epilepsy. Hum Mutat 38, 611-614 (2017).

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