Publications

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A
Abul-Husn, N. S. et al. Exome sequencing reveals a high prevalence of BRCA1 and BRCA2 founder variants in a diverse population-based biobank. Genome Med 12, 2 (2019).
Abul-Husn, N. S. & Kenny, E. E. Personalized Medicine and the Power of Electronic Health Records. Cell 177, 58-69 (2019).
Aguirre, M., Rivas, M. A. & Priest, J. Phenome-wide Burden of Copy-Number Variation in the UK Biobank. Am J Hum Genet 105, 373-383 (2019).
Aguirre, M. et al. Polygenic risk modeling with latent trait-related genetic components. Eur J Hum Genet (2021). doi:10.1038/s41431-021-00813-0
Amar, D., Sinnott-Armstrong, N., Ashley, E. A. & Rivas, M. A. Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks. Nat Commun 12, 350 (2021).
Amariuta, T. et al. Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. Nat Genet 52, 1346-1354 (2020).
Aschard, H. et al. Covariate selection for association screening in multiphenotype genetic studies. Nat Genet 49, 1789-1795 (2017).
Asgari, S. et al. A positively selected FBN1 missense variant reduces height in Peruvian individuals. Nature 582, 234-239 (2020).
B
Baldassari, A. R. et al. Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits. Circ Genom Precis Med 13, e002680 (2020).
Barfield, R. et al. Testing for the indirect effect under the null for genome-wide mediation analyses. Genet Epidemiol 41, 824-833 (2017).
Barnett, I., Mukherjee, R. & Lin, X. The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies. J Am Stat Assoc 112, 64-76 (2017).
Bastarache, L. et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359, 1233-1239 (2018).
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).
Belbin, G. M., Nieves-Colón, M. A., Kenny, E. E., Moreno-Estrada, A. & Gignoux, C. R. Genetic diversity in populations across Latin America: implications for population and medical genetic studies. Curr Opin Genet Dev 53, 98-104 (2018).
Boix, C. A., James, B. T., Park, Y. P., Meuleman, W. & Kellis, M. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature 590, 300-307 (2021).
Bonder, M. Jan et al. Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics. Nat Genet 53, 313-321 (2021).
C
C Y Mak, A. et al. Lung Function in African American Children with Asthma Is Associated with Novel Regulatory Variants of the KIT Ligand and Gene-By-Air-Pollution Interaction. Genetics 215, 869-886 (2020).
Caggiano, C. et al. Comprehensive cell type decomposition of circulating cell-free DNA with CelFiE. Nat Commun 12, 2717 (2021).
Cassa, C. A. et al. Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nat Genet 49, 806-810 (2017).
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, S. & Onnela, J. - P. A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network. Sci Rep 9, 16674 (2019).
Chen, S. & Lin, X. Analysis in case-control sequencing association studies with different sequencing depths. Biostatistics 21, 577-593 (2020).
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).
Claussnitzer, M. et al. A brief history of human disease genetics. Nature 577, 179-189 (2020).
Contreras, M. G. et al. Native American Ancestry and Air Pollution Interact to Impact Bronchodilator Response in Puerto Rican Children with Asthma. Ethn Dis 31, 77-88 (2021).
D
Dahl, A., Guillemot, V., Mefford, J., Aschard, H. & Zaitlen, N. Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives. Genetics 211, 1179-1189 (2019).
Dahl, A. et al. A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits. Am J Hum Genet 106, 71-91 (2020).
de Goede, O. M. et al. Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease. Cell 184, 2633-2648.e19 (2021).
DeBoever, C. et al. Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study. Nat Commun 9, 1612 (2018).
DeBoever, C. et al. Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases. Am J Hum Genet 106, 611-622 (2020).
Dennis, J. et al. Diagnostic Algorithms to Study Post-Concussion Syndrome Using Electronic Health Records: Validating a Method to Capture an Important Patient Population. J Neurotrauma 36, 2167-2177 (2019).
Dietlein, F. et al. Identification of cancer driver genes based on nucleotide context. Nat Genet 52, 208-218 (2020).
E
Sub-genic intolerance, ClinVar, and the epilepsies: A whole-exome sequencing study of 29,165 individuals. Am J Hum Genet 108, 965-982 (2021).
Ultra-Rare Genetic Variation in the Epilepsies: A Whole-Exome Sequencing Study of 17,606 Individuals. Am J Hum Genet 105, 267-282 (2019).
F
Ferraro, N. M. et al. Transcriptomic signatures across human tissues identify functional rare genetic variation. Science 369, (2020).
Flynn, E. et al. Sex-specific genetic effects across biomarkers. Eur J Hum Genet 29, 154-163 (2021).
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).
Frésard, L. et al. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med 25, 911-919 (2019).
G
Gay, N. R. et al. Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx. Genome Biol 21, 233 (2020).
Gazal, S. et al. Functional architecture of low-frequency variants highlights strength of negative selection across coding and non-coding annotations. Nat Genet 50, 1600-1607 (2018).
Gazal, S. et al. Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection. Nat Genet 49, 1421-1427 (2017).
Goddard, P. C. et al. Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function. Genet Epidemiol 45, 190-208 (2021).
Goleva, S. B., Lake, A. M., Torstenson, E. S., Haas, K. F. & Davis, L. K. Epidemiology of Functional Seizures Among Adults Treated at a University Hospital. JAMA Netw Open 3, e2027920 (2020).
Gottlieb, A. et al. Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans. Genome Med 9, 98 (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).
H
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).
Herrera-Luis, E. et al. Genome-wide association study reveals a novel locus for asthma with severe exacerbations in diverse populations. Pediatr Allergy Immunol 32, 106-115 (2021).
Herrera-Luis, E. et al. A deoxyribonuclease 1-like 3 genetic variant associates with asthma exacerbations. J Allergy Clin Immunol 147, 1095-1097.e10 (2021).
Hu, S. et al. Whole exome sequencing analyses reveal gene-microbiota interactions in the context of IBD. Gut 70, 285-296 (2021).
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).

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