Faculty Collaboration Database

A bootstrap-based regression method for comprehensive discovery of differential gene expressions: an application to the osteoporosis study. Eur J Med Genet 2011;54(6):e560-4

Date

08/17/2011

Pubmed ID

21843665

DOI

10.1016/j.ejmg.2011.07.002

Scopus ID

2-s2.0-80052287771 (requires institutional sign-in at Scopus site)   3 Citations

Abstract

UNLABELLED: A common purpose of microarray experiments is to study the variation in gene expression across the categories of an experimental factor such as tissue types and drug treatments. However, it is not uncommon that the studied experimental factor is a quantitative variable rather than categorical variable. Loss of information would occur by comparing gene-expression levels between groups that are factitiously defined according to the quantitative threshold values of an experimental factor. Additionally, lack of control for some sensitive clinical factors may bring serious false positive or negative findings. In the present study, we described a bootstrap-based regression method for analyzing gene-expression data from the non-categorical microarray experiments. To illustrate the utility of this method, we applied it to our recent gene-expression study of circulating monocytes in subjects with a wide range of variations in bone mineral density (BMD). This method allows a comprehensive discovery of gene expressions associated with osteoporosis-related traits while controlling other common confounding factors such as height, weight and age. Several genes identified in our study are involved in osteoblast and osteoclast functions and bone remodeling and/or menopause-associated estrogen-dependent pathways, which provide important clues to understand the etiology of osteoporosis.

AVAILABILITY: SAS code is available from the authors upon request.

Author List

Lu Y, Liu YZ, Liu PY, Dvornyk V, Deng HW

MESH terms used to index this publication - Major topics in bold

Absorptiometry, Photon
Age Factors
Body Weight
Bone Density
Bone Remodeling
Female
Gene Expression
Gene Expression Profiling
Genetic Association Studies
Humans
Menopause
Middle Aged
Monocytes
Multigene Family
Oligonucleotide Array Sequence Analysis
Osteoblasts
Osteoporosis
Phenotype
Regression Analysis