Gene-environment Interaction Modeling

Gene-Environment Interaction Modeling is a statistical framework that identifies and quantifies the joint effects of genetic variants and environmental exposures on disease risk, distinguishing itself by explicitly modeling how genetic susceptibility modifies or is modified by environmental factors in shaping phenotypic outcomes.

652

Publications

42K

Citations

3.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

148

Authors

3.4K

  1. NC
    Nilanjan Chatterjee

    National Cancer Institute, United States

    19 publications · 1.5K citations

    17

    h-index

  2. BM
    Bhramar Mukherjee

    University of Michigan, United States

    17 publications · 949 citations

    14

    h-index

  3. DM
    Danielle M. Dick

    Virginia Commonwealth University, United States

    12 publications · 806 citations

    12

    h-index

  4. WJ
    W. James Gauderman

    University of Southern California, United States

    12 publications · 1.6K citations

    12

    h-index

  5. PK
    Peter Kraft

    Harvard University, United States

    12 publications · 1.5K citations

    12

    h-index

1–5 of 3.4K

Venues

  1. Genetic Epidemiology

    40 publications · 2.4K citations

    22

    h-index

  2. American Journal of Epidemiology

    AJE · 23 publications · 2.2K citations

    22

    h-index

  3. Development and Psychopathology

    19 publications · 907 citations

    16

    h-index

  4. PLoS ONE

    16 publications · 661 citations

    15

    h-index

  5. Statistics in Medicine

    19 publications · 1.1K citations

    14

    h-index

1–5