Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Dan Chasman, Ph.D.

Co-Author

This page shows the publications co-authored by Dan Chasman and Heming Wang.
Connection Strength

0.500
  1. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet. 2018 03 01; 102(3):375-400.
    View in: PubMed
    Score: 0.192
  2. The trans-ancestral genomic architecture of glycemic traits. Nat Genet. 2021 06; 53(6):840-860.
    View in: PubMed
    Score: 0.060
  3. Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels. Circ Genom Precis Med. 2020 08; 13(4):e002772.
    View in: PubMed
    Score: 0.056
  4. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum Mol Genet. 2019 08 01; 28(15):2615-2633.
    View in: PubMed
    Score: 0.053
  5. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet. 2019 04; 51(4):636-648.
    View in: PubMed
    Score: 0.052
  6. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat Commun. 2019 01 22; 10(1):376.
    View in: PubMed
    Score: 0.051
  7. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013 Sep 05; 93(3):545-54.
    View in: PubMed
    Score: 0.035
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.