Sibling Correlation Analysis

Sibling Correlation Analysis is a statistical method in behavioral genetics that quantifies the degree to which phenotypic similarities among siblings can be attributed to shared genetic and environmental factors, distinguishing it from other genetic association techniques by specifically focusing on sibling pairs to estimate familial aggregation while controlling for shared upbringing and genetic relatedness.

219

Publications

12.7K

Citations

719

Authors

334

Institutions

Publications per year

2017–2026

21

Authors

719

  1. DR
    David Rowe

    University of Arizona, United States

    8 publications · 747 citations

    8

    h-index

  2. RP
    Robert Plomin

    King's College London, United Kingdom

    8 publications · 1.7K citations

    8

    h-index

  3. CB
    Claude Bouchard

    Université Laval, Canada

    5 publications · 127 citations

    5

    h-index

  4. RM
    Robert M. Malina

    The University of Texas at Austin, United States

    4 publications · 75 citations

    4

    h-index

  5. BM
    Bhashkar Mazumder

    Federal Reserve Bank of Chicago, United States

    4 publications · 88 citations

    4

    h-index

1–5 of 719

Venues

  1. Annals of Human Biology

    12 publications · 234 citations

    11

    h-index

  2. Genetic Epidemiology

    7 publications · 392 citations

    7

    h-index

  3. PubMed

    Repository · 7 publications · 431 citations

    7

    h-index

  4. SSRN Electronic Journal

    Repository · 6 publications · 139 citations

    6

    h-index

  5. Child Development

    6 publications · 496 citations

    6

    h-index

1–5