Hypothesis-driven Association Testing

Hypothesis-Driven Association Testing is a candidate gene study approach that belongs to the class of genetic association testing methods and is distinguished by its explicit focus on evaluating specific pre-specified biological hypotheses about the relationship between a targeted gene or genetic variant and a trait of interest.

18

Publications

1.2K

Citations

94

Authors

47

Institutions

Publications per year

2017–2026

4

Variants

Candidate Gene Association Testing

Authors

94

  1. XL
    Xihong Lin

    Harvard University, United States

    2 publications · 161 citations

    2

    h-index

  2. PF
    Patrick F. Sullivan

    University of North Carolina at Chapel Hill, United States

    2 publications · 153 citations

    2

    h-index

  3. HG
    Herbert Gerjuoy

    Educational Testing Service, United States

    1 publications · 15 citations

    1

    h-index

  4. HZ
    Hongyu Zhao

    Yale University, United States

    1 publications · 25 citations

    1

    h-index

  5. NJ
    Neda Jahanshad

    University of Southern California, United States

    1 publications · 137 citations

    1

    h-index

1–5 of 94

Venues

  1. The American Journal of Human Genetics

    AJHG · 5 publications · 338 citations

    5

    h-index

  2. NeuroImage

    1 publications · 137 citations

    1

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 14 citations

    1

    h-index

  4. Information Sciences

    1 publications · 19 citations

    1

    h-index

  5. Neuropsychopharmacology

    1 publications · 30 citations

    1

    h-index

1–5