caa a22 4500 445861665 CHVBK 20180317145445.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00439-010-0936-y doi (NATIONALLICENCE)springer-10.1007/s00439-010-0936-y Distribution of the number of false discoveries in large-scale family-based association testing with application to the association between PTPN1 and hypertension and obesity [Elektronische Daten] [Wen-Chang Wang, Chao Hsiung, Lan-Chao Wang, Lee-Ming Chuang, Thomas Quertermous, I-Shou Chang] We present a model-free approach to the study of the number of false discoveries for large-scale simultaneous family-based association tests (FBATs) in which the set of discoveries is decided by applying a threshold to the test statistics. When the association between a set of markers in a candidate gene and a group of phenotypes is studied by a class of FBATs, we indicate that a joint null hypothesis distribution for these statistics can be obtained by the fundamental statistical method of conditioning on sufficient statistics for the null hypothesis. Based on the joint null distribution of these statistics, we can obtain the distribution of the number of false discoveries for the set of discoveries defined by a threshold; the size of this set is referred to as its tail count. Simulation studies are presented to demonstrate that the conditional, not the unconditional, distribution of the tail count is appropriate for the study of false discoveries. The usefulness of this approach is illustrated by re-examining the association between PTPN1 and a group of blood-pressure-related phenotypes reported by Olivier et al. (Hum Mol Genet 13:1885-1892, 2004); our results refine and reinforce this association. Springer-Verlag, 2010 Wang Wen-Chang Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut Hsiung Chao Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut Wang Lan-Chao National Institute of Cancer Research, National Health Research Institutes, 35 Keyan Road, 350, Zhunan, Miaoli County, Taiwan aut Chuang Lee-Ming Department of Internal Medicine, National Taiwan University, Taipei, Taiwan aut Quertermous Thomas Division of Cardiovascular Medicine, Falk Cardiovascular Research Center, Stanford University, Stanford, CA, USA aut Chang I-Shou Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut Human Genetics Springer-Verlag 129/4(2011-04-01), 425-432 0340-6717 129:4<425 2011 129 439 https://doi.org/10.1007/s00439-010-0936-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00439-010-0936-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Wen-Chang Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut NATIONALLICENCE 700 1- Hsiung Chao Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut NATIONALLICENCE 700 1- Wang Lan-Chao National Institute of Cancer Research, National Health Research Institutes, 35 Keyan Road, 350, Zhunan, Miaoli County, Taiwan aut NATIONALLICENCE 700 1- Chuang Lee-Ming Department of Internal Medicine, National Taiwan University, Taipei, Taiwan aut NATIONALLICENCE 700 1- Quertermous Thomas Division of Cardiovascular Medicine, Falk Cardiovascular Research Center, Stanford University, Stanford, CA, USA aut NATIONALLICENCE 700 1- Chang I-Shou Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan aut NATIONALLICENCE 773 0- Human Genetics Springer-Verlag 129/4(2011-04-01), 425-432 0340-6717 129:4<425 2011 129 439 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer