{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:16:54Z","timestamp":1780636614799,"version":"3.54.1"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFD0900201"],"award-info":[{"award-number":["2018YFD0900201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"crossref","award":["32072726"],"award-info":[{"award-number":["32072726"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100005906","name":"Chinese Academy of Fishery Sciences","doi-asserted-by":"publisher","award":["2019ZY09"],"award-info":[{"award-number":["2019ZY09"]}],"id":[{"id":"10.13039\/501100005906","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Complex computation and approximate solution hinder the application of generalized linear mixed models (GLMM) into genome-wide association studies. We extended GRAMMAR to handle binary diseases by considering genomic breeding values (GBVs) estimated in advance as a known predictor in genomic logit regression, and then reduced polygenic effects by regulating downward genomic heritability to control false negative errors produced in the association tests. Using simulations and case analyses, we showed in optimizing GRAMMAR, polygenic effects and genomic controls could be evaluated using the fewer sampling markers, which extremely simplified GLMM-based association analysis in large-scale data. Further, joint association analysis for quantitative trait nucleotide (QTN) candidates chosen by multiple testing offered significant improved statistical power to detect QTNs over existing methods.<\/jats:p>","DOI":"10.1093\/bib\/bbab426","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T21:51:11Z","timestamp":1633470671000},"source":"Crossref","is-referenced-by-count":4,"title":["Optimizing genomic control in mixed model associations with binary diseases"],"prefix":"10.1093","volume":"23","author":[{"given":"Yuxin","family":"Song","sequence":"first","affiliation":[{"name":"Wuxi Fisheries College, Nanjing Agricultural University , People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li\u2019ang","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Life Science, Northeast Agricultural University , People's Republic of 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