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Article

High-throughput and efficient multilocus genome-wide association study on longitudinal outcomes.

Bioinformatics (Oxford, England) - 1 May 2020

Xu Huang, Li Xiang, Yang Yaning, Li Yi, Pinheiro Jose, Sasser Kate, Hamadeh Hisham, Steven Xu, Yuan Min

Abstract excerpt

MOTIVATION: With the emerging of high-dimensional genomic data, genetic analysis such as genome-wide association studies (GWAS) have played an important role in identifying disease-related genetic variants and novel treatments. Complex longitudinal phenotypes are commonly collected in medical studies. However, since limited analytical approaches are available for longitudinal traits, these data are often...

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PMID: 32096821
DOI: 10.1093/bioinformatics/btaa120

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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