Gene-based GWAS analysis for consecutive studies of GEFOS

Area of Science:

• Genetics
• Bioinformatics
• Skeletal Biology

Background:

• Genome-wide association studies (GWASs) have identified ~100 loci for bone mineral density (BMD), but explain limited heritability for osteoporosis.
• Existing single-nucleotide polymorphism (SNP)-based GWASs have limitations in capturing the full genetic architecture of BMD.
• A gene-based analysis approach is needed to identify additional BMD-associated genes and improve understanding of osteoporosis risk.

Purpose of the Study:

• To identify novel genes associated with bone mineral density (BMD) using a gene-based analysis.
• To integrate multilevel biological evidence and bioinformatics for a systemic identification of BMD-associated genes.
• To explore the roles of identified genes in skeletal metabolism and validate their association with BMD.

Main Methods:

• Combined summary statistic P-values of SNPs across individual genes from two large Genetic Factors for Osteoporosis (GEFOS) GWAS meta-analyses.
• Performed differential gene expression analysis to assess the functional relevance of identified genes in bone.
• Evaluated the consistency of BMD-associated variant identification by correlating P-values between the two GEFOS datasets.

Main Results:

• The gene-based strategy identified additional BMD-associated genes with genome-wide significance compared to SNP-based analysis.
• Three novel BMD-associated genes (UBTF, AAAS, C11orf58) were identified and partially validated through gene expression analysis.
• Correlation analysis demonstrated moderately high consistency of potential BMD-associated variants between the two GEFOS studies.

Conclusions:

• Gene-based analysis serves as a valuable supplementary strategy to SNP-based GWASs for BMD gene discovery.
• This approach enhances statistical power and testing stability in identifying BMD-associated genes.
• The study successfully identified novel BMD-associated genes, contributing to a deeper understanding of skeletal metabolism and osteoporosis genetics.