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Article

GWAS with longitudinal phenotypes: performance of approximate procedures.

European journal of human genetics : EJHG - 1 Oct 2015

Sikorska Karolina, Montazeri Nahid Mostafavi, Uitterlinden André, Rivadeneira Fernando, Eilers Paul Hc, Lesaffre Emmanuel

Abstract excerpt

Analysis of genome-wide association studies with longitudinal data using standard procedures, such as linear mixed model (LMM) fitting, leads to discouragingly long computation times. There is a need to speed up the computations significantly. In our previous work (Sikorska et al: Fast linear mixed model computations for genome-wide association studies with longitudinal data. Stat Med 2012; 32.1: 165-180), we...

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Identifiers

PMID: 25712081
DOI: 10.1038/ejhg.2015.1
PMCID: PMC4592098

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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