{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:22Z","timestamp":1772138062362,"version":"3.50.1"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Novo Nordisk Foundation initiative Open Discovery Innovation Network","award":["NNF20SA0061466"],"award-info":[{"award-number":["NNF20SA0061466"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Here, we present an expanded utility of the R package qgg for genetic analyses of complex traits and diseases. One of the major updates of the package is, that it now includes Bayesian linear regression modeling procedures, which provide a unified framework for mapping of genetic variants, estimation of heritability and genomic prediction from either individual level data or from genome-wide association study summary data. With this release, the qgg package now provides a wealth of the commonly used methods in analysis of complex traits and diseases, without the need to switch between software and data formats.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The methodologies are implemented in the publicly available R software package, qgg, using fast and memory efficient algorithms in C++ and is available on CRAN or as a developer version at our GitHub page (https:\/\/github.com\/psoerensen\/qgg). Notes on the implemented statistical genetic models, tutorials and example scripts are available at our GitHub page https:\/\/psoerensen.github.io\/qgg\/.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad656","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T08:47:27Z","timestamp":1698137247000},"source":"Crossref","is-referenced-by-count":13,"title":["Expanded utility of the R package, qgg, with applications within genomic medicine"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4347-8656","authenticated-orcid":false,"given":"Palle Duun","family":"Rohde","sequence":"first","affiliation":[{"name":"Genomic Medicine, Department of Health Science and Technology, Aalborg University , 9260 Gistrup, Denmark"}]},{"given":"Izel","family":"Fourie S\u00f8rensen","sequence":"additional","affiliation":[{"name":"Center for Quantitative Genetics and Genomics, Aarhus University , 8000 Aarhus, Denmark"}]},{"given":"Peter","family":"S\u00f8rensen","sequence":"additional","affiliation":[{"name":"Center for Quantitative Genetics and Genomics, Aarhus University , 8000 Aarhus, Denmark"}]}],"member":"286","published-online":{"date-parts":[[2023,10,26]]},"reference":[{"key":"2023110617171681600_btad656-B1","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","article-title":"The UK Biobank resource with deep phenotyping and genomic data","volume":"562","author":"Bycroft","year":"2018","journal-title":"Nature"},{"key":"2023110617171681600_btad656-B2","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s13742-015-0047-8","article-title":"Second-generation PLINK: rising to the challenge of larger and richer datasets","volume":"4","author":"Chang","year":"2015","journal-title":"Gigascience"},{"key":"2023110617171681600_btad656-B3","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1111\/age.12396","article-title":"Decomposing genomic 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