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Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants.

Nature communications - 14 Aug 2024

Qi Guanghao, Chhetri Surya B, Ray Debashree, Dutta Diptavo, Battle Alexis, Bhattacharjee Samsiddhi, Chatterjee Nilanjan

Abstract excerpt

Genome-wide association studies (GWAS) have found widespread evidence of pleiotropy, but characterization of global patterns of pleiotropy remain highly incomplete due to insufficient power of current approaches. We develop fastASSET, a method that allows efficient detection of variant-level pleiotropic association across many traits. We analyze GWAS summary statistics of 116 complex traits of diverse types...

Topics

Genome-Wide Association Study
Genetic Pleiotropy
Humans
Quantitative Trait Loci
Polymorphism, Single Nucleotide
Phenotype
Multifactorial Inheritance
Genetic Variation

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39143063
DOI: 10.1038/s41467-024-51075-5
PMCID: PMC11324957

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