### 摘要

原文 | 英語 |
---|---|

頁（從 - 到） | 425-432 |

頁數 | 8 |

期刊 | Human Genetics |

卷 | 129 |

發行號 | 4 |

DOIs | |

出版狀態 | 已發佈 - 四月 2011 |

對外發佈 | Yes |

### 指紋

### ASJC Scopus subject areas

- Genetics(clinical)
- Genetics

### 引用此文

*Human Genetics*,

*129*(4), 425-432. https://doi.org/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.** / Wang, Wen Chang; Hsiung, Chao A.; Wang, Lan Chao; Chuang, Lee Ming; Quertermous, Thomas; Chang, I. Shou.

研究成果: 雜誌貢獻 › 文章

*Human Genetics*, 卷 129, 編號 4, 頁 425-432. https://doi.org/10.1007/s00439-010-0936-y

}

TY - JOUR

T1 - 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

AU - Wang, Wen Chang

AU - Hsiung, Chao A.

AU - Wang, Lan Chao

AU - Chuang, Lee Ming

AU - Quertermous, Thomas

AU - Chang, I. Shou

PY - 2011/4

Y1 - 2011/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79953833543&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79953833543&partnerID=8YFLogxK

U2 - 10.1007/s00439-010-0936-y

DO - 10.1007/s00439-010-0936-y

M3 - Article

C2 - 21188419

AN - SCOPUS:79953833543

VL - 129

SP - 425

EP - 432

JO - Human Genetics

JF - Human Genetics

SN - 0340-6717

IS - 4

ER -