{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T22:36:03Z","timestamp":1773268563418,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"name":"DFG funding programme Open Access Publishing","award":["IN-1150438"],"award-info":[{"award-number":["IN-1150438"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s12859-018-2081-x","type":"journal-article","created":{"date-parts":[[2018,3,2]],"date-time":"2018-03-02T04:28:08Z","timestamp":1519964888000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation"],"prefix":"10.1186","volume":"19","author":[{"name":"on behalf of the CKDGen Consortium","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5731-173X","authenticated-orcid":false,"given":"Regina","family":"Brinster","sequence":"first","affiliation":[]},{"given":"Anna","family":"K\u00f6ttgen","sequence":"additional","affiliation":[]},{"given":"Bamidele O.","family":"Tayo","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Schumacher","sequence":"additional","affiliation":[]},{"given":"Peggy","family":"Sekula","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,2]]},"reference":[{"issue":"10","key":"2081_CR1","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1038\/nrg1916","volume":"7","author":"DJ Balding","year":"2006","unstructured":"Balding DJ. A tutorial on statistical methods for population association studies. Nat Rev Genet. 2006;7(10):781\u201391.","journal-title":"Nat Rev Genet"},{"issue":"4","key":"2081_CR2","doi-asserted-by":"crossref","first-page":"285","DOI":"10.7555\/JBR.29.20140007","volume":"29","author":"P Zeng","year":"2015","unstructured":"Zeng P, Zhao Y, Qian C, Zhang L, Zhang R, Gou J, Liu J, Liu L, Chen F. Statistical analysis for genome-wide association study. J Biomed Res. 2015;29(4):285\u201397.","journal-title":"J Biomed Res"},{"key":"2081_CR3","first-page":"151","volume-title":"Modern Epidemiology","author":"KJ Rothman","year":"2008","unstructured":"Rothman KJ, Greenland S, Lash TL. Modern Epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008. p. 151\u20136.","edition":"3"},{"issue":"11","key":"2081_CR4","doi-asserted-by":"publisher","first-page":"1946","DOI":"10.1002\/sim.6082","volume":"33","author":"JJ Goeman","year":"2014","unstructured":"Goeman JJ, Solari A. Multiple hypothesis testing in genomics. Stat Med. 2014;33(11):1946\u201378.","journal-title":"Stat Med"},{"issue":"6973","key":"2081_CR5","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1136\/bmj.310.6973.170","volume":"310","author":"JM Bland","year":"1995","unstructured":"Bland JM, Altman DG. Multiple significance tests: the Bonferroni method. BMJ. 1995;310(6973):170.","journal-title":"BMJ"},{"issue":"456","key":"2081_CR6","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1198\/016214501753382129","volume":"96","author":"B Efron","year":"2001","unstructured":"Efron B. Empirical Bayes analysis of a microarray experiment. J Am Stat Assoc. 2001;96(456):1151\u201360.","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"2081_CR7","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1111\/1467-9868.00346","volume":"64","author":"JD Storey","year":"2002","unstructured":"Storey JD. A direct approach to false discovery rates. J R Stat Soc. 2002;64(3):479\u201398.","journal-title":"J R Stat Soc"},{"key":"2081_CR8","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms10023","volume":"7","author":"C Pattaro","year":"2016","unstructured":"Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023.","journal-title":"Nat Commun"},{"issue":"1","key":"2081_CR9","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc. 1995;57(1):289\u2013300.","journal-title":"J R Stat Soc"},{"issue":"2","key":"2081_CR10","first-page":"65","volume":"6","author":"SA Holm","year":"1979","unstructured":"Holm SA. Simple sequentially Rejective multiple test procedure. Scand J Stat. 1979;6(2):65\u201370.","journal-title":"Scand J Stat"},{"issue":"3","key":"2081_CR11","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1038\/sj.hdy.6800717","volume":"95","author":"J Li","year":"2005","unstructured":"Li J, Ji L. Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity. 2005;95(3):221\u20137.","journal-title":"Heredity"},{"issue":"4","key":"2081_CR12","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/gepi.20303","volume":"32","author":"I Pe'er","year":"2008","unstructured":"Pe'er I, Yelensky R, Altshuler D, Daly MJ. Estimation of the multiple testing burden for genomewide association studies of nearly all common variants. Genet Epidemiol. 2008;32(4):381\u20135.","journal-title":"Genet Epidemiol"},{"issue":"11","key":"2081_CR13","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.2215\/CJN.02560317","volume":"12","author":"ME Grams","year":"2017","unstructured":"Grams ME, Tin A, Rebholz CM, Shafi T, Kottgen A, Perrone RD, Sarnak MJ, Inker LA, Levey AS, Coresh J. Metabolomic alterations associated with cause of CKD. Clin J Am Soc Nephrol. 2017;12(11):1787\u201394.","journal-title":"Clin J Am Soc Nephrol"},{"issue":"4","key":"2081_CR14","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1093\/biomet\/75.4.800","volume":"75","author":"Y Hochberg","year":"1988","unstructured":"Hochberg Y. A sharper Bonferroni procedure for multiple tests of significance. Biometrika. 1988;75(4):800\u20132.","journal-title":"Biometrika"},{"issue":"2","key":"2081_CR15","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1093\/biomet\/75.2.383","volume":"75","author":"G Hommel","year":"1988","unstructured":"Hommel G. A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika. 1988;75(2):383\u20136.","journal-title":"Biometrika"},{"issue":"3","key":"2081_CR16","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1093\/biomet\/93.3.491","volume":"93","author":"Y Benjamini","year":"2006","unstructured":"Benjamini Y, Krieger AM, Yekutieli D. Adaptive linear step-up procedures that control the false discovery rate. Biometrika. 2006;93(3):491\u2013507.","journal-title":"Biometrika"},{"issue":"4","key":"2081_CR17","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1214\/aos\/1013699998","volume":"29","author":"Y Benjamini","year":"2001","unstructured":"Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Ann Stat. 2001;29(4):1165\u201388.","journal-title":"Ann Stat"},{"issue":"16","key":"2081_CR18","doi-asserted-by":"publisher","first-page":"9440","DOI":"10.1073\/pnas.1530509100","volume":"100","author":"JD Storey","year":"2003","unstructured":"Storey JD, Tibshirani R. Statistical significance for genomewide studies. Proc Natl Acad Sci U S A. 2003;100(16):9440\u20135.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"2081_CR19","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1186\/1471-2105-9-303","volume":"9","author":"K Strimmer","year":"2008","unstructured":"Strimmer K. A unified approach to false discovery rate estimation. BMC Bioinform. 2008;9:303.","journal-title":"BMC Bioinform"},{"key":"2081_CR20","unstructured":"The Comprehensive R Archive Network. https:\/\/cran.r-project.org\/ . Accessed 17 Oct 2017."},{"key":"2081_CR21","unstructured":"Bioconductor. https:\/\/www.bioconductor.org \/. Accessed 17 Oct 2017."},{"key":"2081_CR22","doi-asserted-by":"crossref","unstructured":"Pollard KS, Dudoit S, van der Laan MJ. Multiple testing procedures: the multtest package and applications to genomics. In: Gentleman R., Carey VJ, Huber W, Irizarry RA, Dudoit S, editors. Bioinformatics and Computational Biology Solutions Using R and Bioconductor: Springer, New York; 2005.","DOI":"10.1007\/0-387-29362-0_15"},{"key":"2081_CR23","unstructured":"Storey JD, Bass AJ, Dabney A, Robinson D. qvalue: Q-value estimation for false discovery rate control. 2015. R package version 2.10.0. http:\/\/github.com\/jdstorey\/qvalue . Accessed 17 Oct 2017."},{"key":"2081_CR24","unstructured":"MuToss Coding Team (Berlin 2010), Blanchard G, Dickhaus T, Hack N, Konietschke F, Rohmeyer K, Rosenblatt J, Scheer M, Werft W. mutoss: Unified Multiple Testing Procedures. 0.1\u201310 edn; 2015; The Mutoss package and accompanying mutossGUI package are designed to ease the application and comparison of multiple hypothesis testing procedures. https:\/\/CRAN.R-project.org\/package=mutoss . Accessed 17 Oct 2017."},{"key":"2081_CR25","unstructured":"Klaus B, Strimmer S. fdrtool: Estimation of (Local) False Discovery Rates and Higher Criticism. 2015: Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold. https:\/\/CRAN.R-project.org\/package=fdrtool . Accessed 17 Oct 2017."},{"key":"2081_CR26","unstructured":"CKDGen Consortium. Meta-Analysis Data. http:\/\/ckdgen.imbi.uni-freiburg.de\/ . Accessed 17 Oct 2017."},{"issue":"7571","key":"2081_CR27","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/nature15393","volume":"526","author":"A Auton","year":"2015","unstructured":"Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA, Abecasis GRA. Global reference for human genetic variation. Nature. 2015;526(7571):68\u201374.","journal-title":"Nature"},{"issue":"3","key":"2081_CR28","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 MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559\u201375.","journal-title":"Am J Hum Genet"},{"issue":"Suppl 3","key":"2081_CR29","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/s12859-017-1474-6","volume":"18","author":"YA Lai","year":"2017","unstructured":"Lai YA. Statistical method for the conservative adjustment of false discovery rate (q-value). BMC Bioinformatics. 2017;18(Suppl 3):69.","journal-title":"BMC Bioinformatics"},{"issue":"2","key":"2081_CR30","first-page":"275","volume":"18","author":"M Stephens","year":"2017","unstructured":"Stephens M. False discovery rates: a new deal. Biostatistics (Oxford, England). 2017;18(2):275\u201394.","journal-title":"Biostatistics (Oxford, England)"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-018-2081-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T18:07:33Z","timestamp":1719857253000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-018-2081-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,2]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["2081"],"URL":"https:\/\/doi.org\/10.1186\/s12859-018-2081-x","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,2]]},"assertion":[{"value":"3 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"78"}}