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Author Title Type [ Year
] Filters: Author is Mitchell, Braxton D and Keyword is Genome-Wide Association Study [Clear All Filters]
Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(5):874-893.
Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet. 2021 ;108(10):1836-1851.
A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nat Methods. 2022 ;19(12):1599-1611.
Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program. Nat Commun. 2022 ;13(1):7592.
Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nat Commun. 2023 ;14(1):3202.
Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing. Nat Genet. 2023 ;55(11):1912-1919.
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.
Rare variant contribution to the heritability of coronary artery disease. Nat Commun. 2024 ;15(1):8741.
Methylome-wide association analyses of lipids and modifying effects of behavioral factors in diverse race and ethnicity participants. Clin Epigenetics. 2025 ;17(1):54.
A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. Nat Comput Sci. 2025 ;5(2):125-143.
Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele. Nat Commun. 2025 ;16(1):3470.