{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T18:00:35Z","timestamp":1777312835953,"version":"3.51.4"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"23","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Mixed linear models provide important techniques for performing genome-wide association studies. However, current models have pitfalls associated with their strong assumptions. Here, we propose a new implementation designed to overcome some of these pitfalls using an empirical Bayes algorithm.<\/jats:p>\n               <jats:p>Results: Here we introduce NAM, an R package that allows user to take into account prior information regarding population stratification to relax the linkage phase assumption of current methods. It allows markers to be treated as a random effect to increase the resolution, and uses a sliding-window strategy to increase power and avoid double fitting markers into the model.<\/jats:p>\n               <jats:p>Availability and implementation: NAM is an R package available in the CRAN repository. It can be installed in R by typing install.packages (\u2018NAM\u2019).<\/jats:p>\n               <jats:p>Contact: \u00a0krainey@purdue.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary date are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv448","type":"journal-article","created":{"date-parts":[[2015,8,5]],"date-time":"2015-08-05T00:18:55Z","timestamp":1438733935000},"page":"3862-3864","source":"Crossref","is-referenced-by-count":73,"title":["NAM: association studies in multiple populations"],"prefix":"10.1093","volume":"31","author":[{"given":"Alencar","family":"Xavier","sequence":"first","affiliation":[{"name":"1 Department of Agronomy and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shizhong","family":"Xu","sequence":"additional","affiliation":[{"name":"3 Department of Plant Science, University of California, Riverside, CA 92521, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William M.","family":"Muir","sequence":"additional","affiliation":[{"name":"2 Department of Animal Science, Purdue University, West Lafayette, IN 47907 and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katy Martin","family":"Rainey","sequence":"additional","affiliation":[{"name":"1 Department of Agronomy and"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2015,8,4]]},"reference":[{"key":"2023020202423603400_btv448-B1","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1534\/genetics.107.084301","article-title":"Linkage disequilibrium and persistence of phase in Holstein-Friesian, Jersey and Angus cattle","volume":"179","author":"de Roos","year":"2008","journal-title":"Genetics"},{"key":"2023020202423603400_btv448-B2","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1534\/genetics.114.173559","article-title":"Quality control of genotypes using heritability estimates of gene content at the marker","volume":"199","author":"Forneris","year":"2015","journal-title":"Genetics"},{"key":"2023020202423603400_btv448-B3","doi-asserted-by":"crossref","first-page":"1709","DOI":"10.1534\/genetics.107.080101","article-title":"Efficient control of population structure in model organism association mapping","volume":"178","author":"Kang","year":"2008","journal-title":"Genetics"},{"key":"2023020202423603400_btv448-B4","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1038\/ng.548","article-title":"Variance component model to account for sample structure in genome-wide association studies","volume":"42","author":"Kang","year":"2010","journal-title":"Nat. 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