Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm
Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Genome-wide association studies (GWAS) with longitudinal phenotypes provide opportunities to identify genetic variations associated with changes in human traits over time. Mixed models are used to correct for the correlated nature of longitudinal data. GWA studies are notorious for their computational challenges, which are considerable when mixed m...
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Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_dfa5b2fb1569404aba5d6649c5e52604
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dfa5b2fb1569404aba5d6649c5e52604
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-018-24578-7
