Linkage Analysis

Linkage Analysis is a statistical method within genetic epidemiology that identifies the co-segregation of genetic markers and traits within families to infer the proximity of disease-associated genes on a chromosome, distinguished from population-based association studies by its reliance on pedigree data and Mendelian inheritance patterns.

5.8K

Publications

495.9K

Citations

21.7K

Authors

3.7K

Institutions

Publications per year

2017–2026

187

Authors

21.7K

  1. JB
    John Blangero

    Texas Biomedical Research Institute, United States

    77 publications · 8.7K citations

    37

    h-index

  2. JO
    Jürg Ott

    Rockefeller University, United States

    59 publications · 6.4K citations

    36

    h-index

  3. RC
    Robert C. Elston

    Case Western Reserve University, United States

    85 publications · 5.8K citations

    35

    h-index

  4. DC
    D. C. Rao

    Washington University in St. Louis, United States

    49 publications · 2.9K citations

    32

    h-index

  5. PH
    Peter Holmans

    Cardiff University, United Kingdom

    44 publications · 3.8K citations

    31

    h-index

1–5 of 21.7K

Venues

  1. The American Journal of Human Genetics

    AJHG · 256 publications · 78.1K citations

    111

    h-index

  2. PubMed

    Repository · 383 publications · 45.2K citations

    81

    h-index

  3. Genetics

    164 publications · 26.2K citations

    73

    h-index

  4. Human Molecular Genetics

    123 publications · 13.4K citations

    71

    h-index

  5. Theoretical and Applied Genetics

    104 publications · 11.9K citations

    58

    h-index

1–5