{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T06:19:39Z","timestamp":1773814779863,"version":"3.50.1"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2013,5,28]],"date-time":"2013-05-28T00:00:00Z","timestamp":1369699200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2013,12]]},"DOI":"10.1186\/1471-2105-14-166","type":"journal-article","created":{"date-parts":[[2013,5,28]],"date-time":"2013-05-28T05:16:14Z","timestamp":1369718174000},"source":"Crossref","is-referenced-by-count":30,"title":["GWAS on your notebook: fast semi-parallel linear and logistic regression for genome-wide association studies"],"prefix":"10.1186","volume":"14","author":[{"given":"Karolina","family":"Sikorska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanuel","family":"Lesaffre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick FJ","family":"Groenen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul HC","family":"Eilers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,5,28]]},"reference":[{"issue":"11","key":"5943_CR1","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1001\/jama.299.11.1335","volume":"299","author":"T Pearson","year":"2008","unstructured":"Pearson T, Manolio T: How to interpret a genome-wide association study. JAMA: J Am Med Assoc. 2008, 299 (11): 1335-1344. 10.1001\/jama.299.11.1335.","journal-title":"JAMA: J Am Med Assoc"},{"key":"5943_CR2","unstructured":"Hindorff L, MacArthur J, Morales J, Junkins H, Hall P, Klemm A, Manolio T: A catalog of published genome-wide association studies. [\n                    http:\/\/www.genome.gov\/gwastudies\n                    \n                  ]"},{"issue":"10","key":"5943_CR3","doi-asserted-by":"publisher","first-page":"1294","DOI":"10.1093\/bioinformatics\/btm108","volume":"23","author":"Y Aulchenko","year":"2007","unstructured":"Aulchenko Y, Ripke S, Isaacs A, Van Duijn C: GenABEL: An R library for genome-wide association analysis. Bioinformatics. 2007, 23 (10): 1294-1296. 10.1093\/bioinformatics\/btm108.","journal-title":"Bioinformatics"},{"issue":"3","key":"5943_CR4","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1086\/519795","volume":"81","author":"S Purcell","year":"2007","unstructured":"Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M, Bender D, Maller J, Sklar P, De Bakker P, Daly M: PLINK: A Tool Set For Whole-genome Association and population-based Linkage Analyses. Am J Hum Genet. 2007, 81 (3): 559-575. 10.1086\/519795.","journal-title":"Am J Hum Genet"},{"issue":"8","key":"5943_CR5","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1002\/gepi.20533","volume":"34","author":"Y Li","year":"2010","unstructured":"Li Y, Willer C, Ding J, Scheet P, Abecasis G: MaCH: Using sequence and genotype data to estimate Haplotypes and unobserved genotypes. Genet Epidemiol. 2010, 34 (8): 816-834. 10.1002\/gepi.20533.","journal-title":"Genet Epidemiol"},{"key":"5943_CR6","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1146\/annurev.genom.9.081307.164242","volume":"10","author":"Y Li","year":"2009","unstructured":"Li Y, Willer C, Sanna S, Abecasis G: Genotype imputation. Annu Rev Genomics Hum Genet. 2009, 10: 387-10.1146\/annurev.genom.9.081307.164242.","journal-title":"Annu Rev Genomics Hum Genet"},{"key":"5943_CR7","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1186\/1471-2105-11-134","volume":"11","author":"Y Aulchenko","year":"2010","unstructured":"Aulchenko Y, Struchalin M, Van Duijn C: ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinformatics. 2010, 11: 134-10.1186\/1471-2105-11-134.","journal-title":"BMC Bioinformatics"},{"issue":"20","key":"5943_CR8","doi-asserted-by":"publisher","first-page":"2750","DOI":"10.1093\/bioinformatics\/btp497","volume":"25","author":"K Estrada","year":"2009","unstructured":"Estrada K, Abuseiris A, Grosveld F, Uitterlinden A, Knoch T, Rivadeneira F: GRIMP: A web-and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data. Bioinformatics. 2009, 25 (20): 2750-2752. 10.1093\/bioinformatics\/btp497.","journal-title":"Bioinformatics"},{"issue":"10","key":"5943_CR9","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1093\/bioinformatics\/bts163","volume":"28","author":"A Shabalin","year":"2012","unstructured":"Shabalin A: Matrix eQTL: Ultra fast eQTL analysis via large matrix operations. Bioinformatics. 2012, 28 (10): 1353-1358. 10.1093\/bioinformatics\/bts163.","journal-title":"Bioinformatics"},{"key":"5943_CR10","doi-asserted-by":"publisher","DOI":"10.1002\/0471249688","volume-title":"Categorical Data Analysis","author":"A Agresti","year":"2002","unstructured":"Agresti A: Categorical Data Analysis. 2002, Wiley-interscience:"},{"issue":"2","key":"5943_CR11","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1056\/NEJMra0905980","volume":"363","author":"WG Feero","year":"2010","unstructured":"Feero WG, Guttmacher AE, Manolio TA: Genomewide association studies and assessment of the risk of disease. N Engl J Med. 2010, 363 (2): 166-176. 10.1056\/NEJMra0905980.","journal-title":"N Engl J Med"},{"key":"5943_CR12","volume-title":"ff: memory-efficient storage of large data on disk and fast access functions","author":"D Adler","year":"2012","unstructured":"Adler D, Gl\u00e4ser C, Nenadic O, Zucchini W, Oehlschl\u00e4gel J: ff: memory-efficient storage of large data on disk and fast access functions. 2012, [\n                    http:\/\/CRAN.R-project.org\/package=ff\n                    \n                  ] [R package version 2.2-7]"},{"key":"5943_CR13","volume-title":"ncdf: Interface to Unidata netCDF data files","author":"D Pierce","year":"2011","unstructured":"Pierce D: ncdf: Interface to Unidata netCDF data files. 2011, [\n                    http:\/\/CRAN.R-project.org\/package=ncdf\n                    \n                  ] [R package version 1.6.6]"},{"key":"5943_CR14","volume-title":"snpStats: SnpMatrix and XSnpMatrix Classes and Methods","author":"D Clayton","year":"2012","unstructured":"Clayton D: snpStats: SnpMatrix and XSnpMatrix Classes and Methods. 2012, [\n                    http:\/\/www-gene.cimr.cam.ac.uk\/clayton\n                    \n                  ] [R package version 1.6.0]"},{"issue":"10","key":"5943_CR15","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1038\/nmeth.1681","volume":"8","author":"C Lippert","year":"2011","unstructured":"Lippert C, Listgarten J, Liu Y, Kadie C, Davidson R, Heckerman D: FaST linear mixed models for genome-wide association studies. Nat Methods. 2011, 8 (10): 833-835. 10.1038\/nmeth.1681.","journal-title":"Nat Methods"},{"issue":"1","key":"5943_CR16","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1002\/sim.5517","volume":"32","author":"K Sikorska","year":"2013","unstructured":"Sikorska K, Rivadeneira F, Groenen PFJ, Hofman A, Uitterlinden AG, Eilers PHC, Lesaffre E: Fast linear mixed model computations for genome-wide association studies with longitudinal data. Stat Med. 2013, 32 (1): 165-180. 10.1002\/sim.5517.","journal-title":"Stat Med"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-14-166.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2105-14-166\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-14-166.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T10:53:33Z","timestamp":1548154413000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-14-166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5,28]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,12]]}},"alternative-id":["5943"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-14-166","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,5,28]]},"article-number":"166"}}