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Article

GWAS on your notebook: fast semi-parallel linear and logistic regression for genome-wide association studies.

BMC bioinformatics - 28 May 2013

Sikorska Karolina, Lesaffre Emmanuel, Groenen Patrick F J, Eilers Paul H C

Abstract excerpt

BACKGROUND: Genome-wide association studies have become very popular in identifying genetic contributions to phenotypes. Millions of SNPs are being tested for their association with diseases and traits using linear or logistic regression models. This conceptually simple strategy encounters the following computational issues: a large number of tests and very large genotype files (many Gigabytes) which cannot be...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 23711206
DOI: 10.1186/1471-2105-14-166
PMCID: PMC3695771

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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