Publications
Filters: Author is Kooperberg, Charles [Clear All Filters]
The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. Sci Adv. 2023 ;9(17):eabm4945.
. Investigating Gene-Diet Interactions Impacting the Association Between Macronutrient Intake and Glycemic Traits. Diabetes. 2023 ;72(5):653-665.
. Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study. Am J Hum Genet. 2023 ;110(10):1704-1717.
. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study. medRxiv. 2023 ;.
. A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies. bioRxiv. 2023 ;.
. Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program. Circ Genom Precis Med. 2023 ;16(2):e003532.
. Whole Genome Sequencing Based Analysis of Inflammation Biomarkers in the Trans-Omics for Precision Medicine (TOPMed) Consortium. bioRxiv. 2023 ;.
. Whole-exome sequencing study identifies four novel gene loci associated with diabetic kidney disease. Hum Mol Genet. 2023 ;32(6):1048-1060.
. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels. Blood. 2024 ;143(18):1845-1855.
. The Genetic Determinants and Genomic Consequences of Non-Leukemogenic Somatic Point Mutations. medRxiv. 2024 ;.
. Rare variant contribution to the heritability of coronary artery disease. Nat Commun. 2024 ;15(1):8741.
. Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium. Hum Mol Genet. 2024 ;33(16):1429-1441.
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