{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T06:58:03Z","timestamp":1769237883971,"version":"3.49.0"},"reference-count":4,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: GWAF, Genome-Wide Association analyses with Family, is an R package designed for GWAF. It implements association tests between a batch of genotyped or imputed single nucleotide polymorphisms (SNPs) and a binary or continuous trait with user specified genetic model, and generates informative results from the analyses. In addition, GWAF provides functions to visualize results. We evaluated GWAF using a simulated continuous trait and a binary trait dichotomized from the simulated continuous trait with real genotype data from the Framingham Heart Study's SNP Health Association Resource project.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/cran.r-project.org\/web\/packages\/GWAF\/<\/jats:p>\n               <jats:p>Contact: \u00a0qyang@bu.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp710","type":"journal-article","created":{"date-parts":[[2009,12,30]],"date-time":"2009-12-30T01:25:08Z","timestamp":1262136308000},"page":"580-581","source":"Crossref","is-referenced-by-count":190,"title":["GWAF: an R package for genome-wide association analyses with family data"],"prefix":"10.1093","volume":"26","author":[{"given":"Ming-Huei","family":"Chen","sequence":"first","affiliation":[{"name":"1 Department of Neurology, Boston University School of Medicine, Boston, MA 02118, 2 The National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA 01702 and 3 Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA"},{"name":"1 Department of Neurology, Boston University School of Medicine, Boston, MA 02118, 2 The National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA 01702 and 3 Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA"}]},{"given":"Qiong","family":"Yang","sequence":"additional","affiliation":[{"name":"1 Department of Neurology, Boston University School of Medicine, Boston, MA 02118, 2 The National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA 01702 and 3 Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA"},{"name":"1 Department of Neurology, Boston University School of Medicine, Boston, MA 02118, 2 The National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA 01702 and 3 Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA"}]}],"member":"286","published-online":{"date-parts":[[2009,12,29]]},"reference":[{"issue":"Suppl. 1","key":"2023012508025611100_B1","doi-asserted-by":"crossref","first-page":"S341","DOI":"10.1002\/gepi.2001.21.s1.s341","article-title":"Association analysis in a variance components framework","volume":"21","author":"Abecasis","year":"2001","journal-title":"Genet. 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