{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T07:29:15Z","timestamp":1784618955316,"version":"3.55.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T00:00:00Z","timestamp":1563753600000},"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\/100000050","name":"NHLBI","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"name":"TOPMed Data Coordinating Center","award":["3R01HL-120393-02S1"],"award-info":[{"award-number":["3R01HL-120393-02S1"]}]},{"name":"TOPMed Data Coordinating Center","award":["U01HL137162"],"award-info":[{"award-number":["U01HL137162"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p>The Genomic Data Storage (GDS) format provides efficient storage and retrieval of genotypes measured by microarrays and sequencing. We developed GENESIS to perform various single- and aggregate-variant association tests using genotype data stored in GDS format. GENESIS implements highly flexible mixed models, allowing for different link functions, multiple variance components and phenotypic heteroskedasticity. GENESIS integrates cohesively with other R\/Bioconductor packages to build a complete genomic analysis workflow entirely within the R environment.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>https:\/\/bioconductor.org\/packages\/GENESIS; vignettes included.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz567","type":"journal-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T11:23:46Z","timestamp":1563535426000},"page":"5346-5348","source":"Crossref","is-referenced-by-count":473,"title":["Genetic association testing using the GENESIS R\/Bioconductor package"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7231-9745","authenticated-orcid":false,"given":"Stephanie M","family":"Gogarten","sequence":"first","affiliation":[{"name":"Department of Biostatistics, University of Washington , Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8520-8860","authenticated-orcid":false,"given":"Tamar","family":"Sofer","sequence":"additional","affiliation":[{"name":"Division of Sleep and Circadian Disorders, Department of Medicine , Brigham and Women's Hospital, Boston, MA, USA"},{"name":"Department of Biostatistics, Harvard T. 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