Hua, W. -Y., Nichols, Thomas E. and Ghosh, D. (2014) Multiple comparison procedures for neuroimaging genomewide association studies. Biostatistics, Volume 16 (Number 1). pp. 17-30. doi:10.1093/biostatistics/kxu026 ISSN 1465-4644.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Request Changes to record.

Abstract

Recent research in neuroimaging has focused on assessing associations between genetic variants that are measured on a genomewide scale and brain imaging phenotypes. A large number of works in the area apply massively univariate analyses on a genomewide basis to find single nucleotide polymorphisms that influence brain structure. In this paper, we propose using various dimensionality reduction methods on both brain structural MRI scans and genomic data, motivated by the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. We also consider a new multiple testing adjustment method and compare it with two existing false discovery rate (FDR) adjustment methods. The simulation results suggest an increase in power for the proposed method. The real-data analysis suggests that the proposed procedure is able to find associations between genetic variants and brain volume differences that offer potentially new biological insights.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Science > Statistics
Journal or Publication Title:	Biostatistics
Publisher:	Oxford University Press
ISSN:	1465-4644
Official Date:	23 June 2014
Dates:	Date Event 23 June 2014 Published 14 May 2014 Accepted 25 January 2013 Submitted
Volume:	Volume 16
Number:	Number 1
Page Range:	pp. 17-30
DOI:	10.1093/biostatistics/kxu026
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item