Regulatory Variant Analysis

Regulatory Variant Analysis is a computational and statistical methodology within candidate gene analysis that identifies and characterizes non-coding genetic variants affecting gene expression regulation, distinguishing it from coding variant analysis by focusing specifically on regulatory elements influencing transcriptional activity.

79

Publications

10.1K

Citations

740

Authors

320

Institutions

Publications per year

2017–2026

35

Authors

740

  1. MJ
    Mulin Jun Li

    Tianjin Medical University, China

    4 publications · 292 citations

    4

    h-index

  2. JW
    Junwen Wang

    University of Hong Kong, Hong Kong SAR China

    4 publications · 292 citations

    4

    h-index

  3. PC
    Pak C. Sham

    University of Hong Kong, Hong Kong SAR China

    4 publications · 292 citations

    4

    h-index

  4. ZX
    Zhengyuan Xia

    University of Hong Kong, Hong Kong SAR China

    3 publications · 203 citations

    3

    h-index

  5. JS
    J Stamatoyannopoulos

    University of Washington, United States

    3 publications · 4.2K citations

    3

    h-index

1–5 of 740

Venues

  1. Nucleic Acids Research

    7 publications · 540 citations

    6

    h-index

  2. Nature Genetics

    6 publications · 1.7K citations

    6

    h-index

  3. Bioinformatics

    5 publications · 320 citations

    5

    h-index

  4. Genome Research

    GR · 4 publications · 851 citations

    4

    h-index

  5. PLoS Genetics

    4 publications · 204 citations

    4

    h-index

1–5