Journal article
A gene-based test of association through an orthogonal decomposition of genotype scores
Human genetics, Vol.136(10), pp.1385-1394
10/2017
DOI: 10.1007/s00439-017-1839-y
PMID: 28864915
Abstract
The burden test and the sequence kernel association test (SKAT) are two popular methods for detecting association with rare variants. Treated as two different sources of association information, they are adaptively combined to form an optimal SKAT (SKAT-O) method for optimal power. We show that the burden test is part of rather than independent of the SKAT. We introduce a new test statistic that is the sum of the burden statistic and a statistic asymptotically independent of the burden statistic. The performance of this new test statistic is demonstrated through extensive simulation studies and applications to a Genetic Analysis Workshop 17 data set and the Ocular Hypertension Treatment Study data.
Details
- Title: Subtitle
- A gene-based test of association through an orthogonal decomposition of genotype scores
- Creators
- Zhongxue Chen - Department of Epidemiology and Biostatistics, School of Public Health Indiana University Bloomington 1025 E. 7th Street Bloomington IN 47405 USAKai Wang - Department of Biostatistics, N322 CPHB College of Public Health University of Iowa 145 N. Riverside Drive Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Human genetics, Vol.136(10), pp.1385-1394
- Publisher
- Springer Berlin Heidelberg; Berlin/Heidelberg
- DOI
- 10.1007/s00439-017-1839-y
- PMID
- 28864915
- ISSN
- 0340-6717
- eISSN
- 1432-1203
- Language
- English
- Date published
- 10/2017
- Academic Unit
- Biostatistics
- Record Identifier
- 9983997328102771
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