Title | Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Zhu, Hongtu, Zakaria Khondker, Zhaohua Lu, and Joseph G. Ibrahim |
Corporate Authors | Alzheimer's Disease Neuroimaging Initiative |
Journal | J Am Stat Assoc |
Volume | 109 |
Issue | 507 |
Pagination | 997-990 |
Date Published | 2014 |
ISSN | 0162-1459 |
Abstract | We propose a Bayesian generalized low rank regression model (GLRR) for the analysis of both high-dimensional responses and covariates. This development is motivated by performing searches for associations between genetic variants and brain imaging phenotypes. GLRR integrates a low rank matrix to approximate the high-dimensional regression coefficient matrix of GLRR and a dynamic factor model to model the high-dimensional covariance matrix of brain imaging phenotypes. Local hypothesis testing is developed to identify significant covariates on high-dimensional responses. Posterior computation proceeds via an efficient Markov chain Monte Carlo algorithm. A simulation study is performed to evaluate the finite sample performance of GLRR and its comparison with several competing approaches. We apply GLRR to investigate the impact of 1,071 SNPs on top 40 genes reported by AlzGene database on the volumes of 93 regions of interest (ROI) obtained from Alzheimer's Disease Neuroimaging Initiative (ADNI). |
Alternate Journal | J Am Stat Assoc |
Original Publication | Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers. |
PubMed ID | 25349462 |
PubMed Central ID | PMC4208701 |
Grant List | UL1 TR001111 / TR / NCATS NIH HHS / United States U24 AG021886 / AG / NIA NIH HHS / United States U01 AG024904 / AG / NIA NIH HHS / United States U54 EB005149 / EB / NIBIB NIH HHS / United States R01 MH086633 / MH / NIMH NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States UL1 RR025747 / RR / NCRR NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 CA074015 / CA / NCI NIH HHS / United States |
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.
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