Area of research
Genetics · Endocrinology, Diabetes and Metabolism
Research interest
L. Adrienne Cupples, Ph.D. is Professor of Biostatistics and of Epidemiology. She has a long standing interest in statistical methods for epidemiologic studies, for survival data analysis and for genetic epidemiology. She has taught for thirty years at both the introductory and advanced levels. She developed several of the courses in the Biostatistics curriculum, including Statistical Methods for Epidemiology (BS852) and has received numerous teaching awards, including the Norman A Scotch Award for Excellence in Teaching at the School of Public Health. For her efforts in research she received the BUSPH Faculty Career Award in Research & Scholarship as the First Recipient. And she received the Janet L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences as the ninth recipient in 2010.
Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele
Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes
Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes
Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification
Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk
Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma
The impact of obesity on lung function measurements and respiratory disease: A Mendelian randomization study
WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE
Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data
Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention
A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies
Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program
Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential
Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed
Whole genome sequence analysis of blood lipid levels in >66,000 individuals
Whole genome sequence analysis of blood lipid levels in >66,000 individuals
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies
Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels
Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels
Rare genetic variants explain missing heritability in smoking
Gene-lifestyle interactions in the genomics of human complex traits
Gene-lifestyle interactions in the genomics of human complex traits.
Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program
Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program
Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program
Sociodemographic Patterns of Exposure to Civil Aircraft Noise in the United States
Rare coding variants in RCN3 are associated with blood pressure
Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program