Multi-trait Association Analysis

Multi-Trait Association Analysis is a statistical methodology in genome-wide association studies that simultaneously examines the genetic basis of multiple phenotypic traits to identify genetic variants with pleiotropic effects, distinguished from single-trait approaches by its integrated modeling of trait correlations and enhanced power to detect shared genetic architecture.

231

Publications

19.7K

Citations

2K

Authors

690

Institutions

Publications per year

2017–2026

117

Variants

Multivariate Association Analysis

Authors

2K

  1. WP
    Wei Pan

    University of Minnesota, United States

    7 publications · 544 citations

    7

    h-index

  2. EB
    Eric Boerwinkle

    The University of Texas Health Science Center at Houston, United States

    6 publications · 388 citations

    6

    h-index

  3. NC
    Nilanjan Chatterjee

    National Cancer Institute, United States

    5 publications · 627 citations

    5

    h-index

  4. DK
    Donna K. Arnett

    University of Alabama at Birmingham, United States

    4 publications · 275 citations

    4

    h-index

  5. BM
    Bruce M. Psaty

    University of Washington, United States

    6 publications · 392 citations

    4

    h-index

1–5 of 2K

Venues

  1. Genetic Epidemiology

    23 publications · 1.1K citations

    17

    h-index

  2. PLoS ONE

    14 publications · 1K citations

    13

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 11 publications · 411 citations

    11

    h-index

  4. Bioinformatics

    11 publications · 618 citations

    11

    h-index

  5. PLoS Genetics

    10 publications · 1.6K citations

    10

    h-index

1–5