{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T22:22:20Z","timestamp":1696630940698},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"24","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: The software tool P2BAT provides a massive parallel and user friendly implementation of the PBAT-analysis tools for family-based association tests (FBATs) in large-scale studies, including genome-wide association studies with several thousand subjects. Built on the original PBAT-implementation of the Lange\u2013Van Steen algorithm to bypass the multiple testing problem in family-based association studies, P2BAT integrates all PBAT-analysis tools for binary and complex traits into R and makes them accessible through a user-friendly GUI. The genome-wide analysis tools are fully automated and can be ran massively parallel directly through the GUI. P2BAT is fully documented and contains graphical output tools for time-to-onset analysis. P2BAT also features the ability to test for gene and environment\/drug interaction.<\/jats:p>\n               <jats:p>Availability: The P2BAT package is available as the R package \u2018pbatR\u2019 which can be downloaded from . The PBAT-software is available at .<\/jats:p>\n               <jats:p>Contact: \u00a0thoffman@hsph.harvard.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl507","type":"journal-article","created":{"date-parts":[[2006,10,5]],"date-time":"2006-10-05T00:45:58Z","timestamp":1160009158000},"page":"3103-3105","source":"Crossref","is-referenced-by-count":14,"title":["P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R"],"prefix":"10.1093","volume":"22","author":[{"given":"Thomas","family":"Hoffmann","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Harvard School of Public Health 1 \u00a0 1 \u00a0 \u00a0 655 Huntington Avenue, Boston, MA 02115, USA"}]},{"given":"Christoph","family":"Lange","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard School of Public Health 1 \u00a0 1 \u00a0 \u00a0 655 Huntington Avenue, Boston, MA 02115, USA"},{"name":"Harvard Medical School, Channing Laboratory 2 \u00a0 2 \u00a0 \u00a0 181 Longwood Avenue, Boston, MA 02115, USA"}]}],"member":"286","published-online":{"date-parts":[[2006,10,4]]},"reference":[{"key":"2023012408512985800_b1","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1038\/ng0606-605","article-title":"Agnosticism and equity in genome-wide association studies","volume":"38","author":"Carlson","year":"2006","journal-title":"Nat. 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