Publications

Export 30 results:
Author Title [ Year(Desc)]
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).
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).
Battle, A., Brown, C. D., Engelhardt, B. E. & Montgomery, S. B. Genetic effects on gene expression across human tissues. Nature 550, 204-213 (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).
He, L., Zhbannikov, I., Arbeev, K. G., Yashin, A. I. & Kulminski, A. M. A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data. Genet Epidemiol 41, 620-635 (2017).
Martin, A. R. et al. Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations. Am J Hum Genet 100, 635-649 (2017).
Li, X. et al. The impact of rare variation on gene expression across tissues. Nature 550, 239-243 (2017).
Kichaev, G. et al. Improved methods for multi-trait fine mapping of pleiotropic risk loci. Bioinformatics 33, 248-255 (2017).
Ritchie, M. D. et al. Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions. Am J Epidemiol 186, 771-777 (2017).
Ritz, B. R. et al. Lessons Learned From Past Gene-Environment Interaction Successes. Am J Epidemiol 186, 778-786 (2017).
Fonseka, C. Y., Rao, D. A. & Raychaudhuri, S. Leveraging blood and tissue CD4+ T cell heterogeneity at the single cell level to identify mechanisms of disease in rheumatoid arthritis. Curr Opin Immunol 49, 27-36 (2017).
Chun, S. et al. Limited statistical evidence for shared genetic effects of eQTLs and autoimmune-disease-associated loci in three major immune-cell types. Nat Genet 49, 600-605 (2017).
Gazal, S. et al. Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection. Nat Genet 49, 1421-1427 (2017).
Sohail, M. et al. Negative selection in humans and fruit flies involves synergistic epistasis. Science 356, 539-542 (2017).
Pala, M. et al. Population- and individual-specific regulatory variation in Sardinia. Nat Genet 49, 700-707 (2017).
Barfield, R. et al. Testing for the indirect effect under the null for genome-wide mediation analyses. Genet Epidemiol 41, 824-833 (2017).
Lemaçon, A. et al. VEXOR: an integrative environment for prioritization of functional variants in fine-mapping analysis. Bioinformatics 33, 1389-1391 (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).
2018
Park, D. S. et al. An ancestry-based approach for detecting interactions. Genet Epidemiol 42, 49-63 (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).
Verbanck, M., Chen, C. - Y., Neale, B. & Do, R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet 50, 693-698 (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).
DeBoever, C. et al. Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study. Nat Commun 9, 1612 (2018).
Liu, Z. & Lin, X. Multiple phenotype association tests using summary statistics in genome-wide association studies. Biometrics 74, 165-175 (2018).
Bastarache, L. et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359, 1233-1239 (2018).
Li, H. et al. A synthetic-diploid benchmark for accurate variant-calling evaluation. Nat Methods 15, 595-597 (2018).
Sun, R., Carroll, R. J., Christiani, D. C. & Lin, X. Testing for gene-environment interaction under exposure misspecification. Biometrics 74, 653-662 (2018).