
James B Meigs
· Professor, Department of Medicine | Physician, Massachusetts General HospitalHarvard University · Nutrition
Active 1971–2025
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About
James B Meigs MD, MPH is a Professor of Medicine at Harvard Medical School and a primary care internist at Massachusetts General Hospital. He serves as the Director of the MGH Division of Clinical Research’s Clinical Effectiveness Research Unit and is an Associate Member of the Broad Institute. His research focuses on the cause and prevention of type 2 diabetes and cardiovascular disease, utilizing biochemical and genetic epidemiology as well as health services translational research approaches. He has been recognized with the ADA’s Kelly West Award for Outstanding Achievement in Diabetes Epidemiology in 2009. Dr. Meigs is a senior leader in numerous major international T2D genomics consortia, including MAGIC, DIAGRAM, AAGILE, CHARGE, and TOPMed-diabetes, and is involved in several NIH grants related to omics and cardiometabolic research. He has mentored over 50 early career investigators, most of whom have continued in academic medicine.
Research topics
- Biology
- Genetics
- Medicine
- Endocrinology
- Internal medicine
- Evolutionary biology
- Political Science
- Demography
- Computational biology
- Computer Science
Selected publications
The mutational constraint spectrum quantified from variation in 141,456 humans
Nature · 2020 · 9986 citations
. Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data fr…
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Nature · 2021 · 2261 citations
. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These…
A genomic mutational constraint map using variation in 76,156 human genomes
Nature · 2023 · 1281 citations
A structural variation reference for medical and population genetics
Nature · 2020 · 1149 citations
and will have broad utility in population genetics, disease-association studies, and diagnostic screening.
Mapping the human genetic architecture of COVID-19
Nature · 2021 · 1108 citations
. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international coll…
Recent grants
NIH · $3.6M · 2020
TOPMed Omics of Type 2 Diabetes and Quantitative Traits
NIH · $2.9M · 2008–2025
NIH · $268k · 2007
Frequent coauthors
- 1269 shared
Ramachandran S. Vasan
National Heart Lung and Blood Institute
- 775 shared
Emelia J. Benjamin
Boston Medical Center
- 753 shared
Daniel Levy
National Heart Lung and Blood Institute
- 739 shared
Ralph B. D’Agostino
Wake Forest University
- 738 shared
José C. Florez
Harvard University
- 701 shared
Caroline S. Fox
Birmingham Women’s and Children’s NHS Foundation Trust
- 655 shared
Paul F. Jacques
- 653 shared
Josée Dupuis
Boston University
Awards & honors
- ADA’s prestigious Kelly West Award for Outstanding Achieveme…
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