✦ LIBER ✦

Evaluating Statistical Significance in Two-Stage Genomewide Association Studies

✍ Scribed by D.Y. Lin

Book ID: 117854767
Publisher: American Society of Human Genetics
Year: 2006
Tongue: English
Weight: 117 KB
Volume: 78
Category: Article
ISSN: 0002-9297
DOI: 10.1086/500812

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Assessing genomewide statistical signifi

Assessing genomewide statistical significance in linkage studies

✍ D.Y. Lin; Fei Zou 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 165 KB

## Abstract Assessment of genomewide statistical significance in multipoint linkage analysis is a thorny problem. The existing analytical solutions rely on strong assumptions (i.e., infinitely dense or equally spaced genetic markers that are fully informative and completely observed, and a single t

The Null Distributions of Test Statistic

The Null Distributions of Test Statistics in Genomewide Association Studies

✍ Xiang Chen; Heping Zhang 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 577 KB

Genomewide association for schizophrenia

Genomewide association for schizophrenia in the CATIE study: results of stage 1

✍ Sullivan, P F; Lin, D; Tzeng, J-Y; van den Oord, E; Perkins, D; Stroup, T S; Wag 📂 Article 📅 2008 🏛 Nature Publishing Group 🌐 English ⚖ 253 KB

Genomewide association for schizophrenia

Genomewide association for schizophrenia in the CATIE study: results of stage 1

✍ Sullivan, P F; Lin, D; Tzeng, J-Y; van den Oord, E; Perkins, D; Stroup, T S; Wag 📂 Article 📅 2009 🏛 Nature Publishing Group 🌐 English ⚖ 49 KB

Efficient Computation of Significance Le

Efficient Computation of Significance Levels for Multiple Associations in Large Studies of Correlated Data, Including Genomewide Association Studies

✍ Frank Dudbridge; Bobby P.C. Koeleman 📂 Article 📅 2004 🏛 American Society of Human Genetics 🌐 English ⚖ 753 KB

Evaluation of an approximation method fo

Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study

✍ Valentina Moskvina; Colm O'Dushlaine; Shaun Purcell; Nick Craddock; Peter Holman 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 118 KB

## Abstract We describe implementation of a set‐based method to assess the significance of findings from genomewide association study data. Our method, implemented in PLINK, is based on theoretical approximation of Fisher's statistics such that the combination of __P__‐vales at a gene or across a p