Dataset Information

Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause.

ABSTRACT:

Objective

To identify novel susceptibility genes for age at natural menopause (ANM).

Methods

Using transcription data generated in tissues from normal hypothalami (n = 73) and ovaries (n = 68) and high-density genotyping data provided by the Genotype-Tissue Expression (GTEx) database, we built 16 164 genetic models to predict gene expression across the transcriptome in these tissues. We used these models and summary statistics data from genome-wide association studies (GWAS) of ANM generated in 69 360 women of European ancestry to identify genes with their predicted expression related to ANM.

Results

We found the predicted expression of 34 genes to be significantly associated with ANM at a Bonferroni-corrected threshold of P < 3.09 ×10^-6. These include 4 genes located more than 1 Mb away from any previously GWAS-identified ANM-associated variants, 24 genes that reside in known GWAS-identified loci but have not been previously implicated, and 6 genes previously implicated as ANM-associated genes.

Conclusion

Results from this transcriptome-wide association study, which integrated Expression quantitative trait loci (eQTL) data with summary statistics of GWAS of ANM, improves our understanding of the genetics and biology of female reproductive aging.

SUBMITTER: Shi J

PROVIDER: S-EPMC6421625 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause.

Shi Jiajun J Wu Lang L Li Bingshan B Lu Yingchang Y Guo Xingyi X Cai Qiuyin Q Long Jirong J Wen Wanqing W Zheng Wei W Shu Xiao-Ou XO

Reproductive sciences (Thousand Oaks, Calif.) 20180530 4

<h4>Objective</h4>To identify novel susceptibility genes for age at natural menopause (ANM).<h4>Methods</h4>Using transcription data generated in tissues from normal hypothalami (n = 73) and ovaries (n = 68) and high-density genotyping data provided by the Genotype-Tissue Expression (GTEx) database, we built 16 164 genetic models to predict gene expression across the transcriptome in these tissues. We used these models and summary statistics data from genome-wide association studies (GWAS) of AN ...[more]

PMID: 29848177

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Project description:AimsDegenerative cervical spondylosis (DCS) is a common musculoskeletal disease that encompasses a wide range of progressive degenerative changes and affects all components of the cervical spine. DCS imposes very large social and economic burdens. However, its genetic basis remains elusive.MethodsPredicted whole-blood and skeletal muscle gene expression and genome-wide association study (GWAS) data from a DCS database were integrated, and functional summary-based imputation (FUSION) software was used on the integrated data. A transcriptome-wide association study (TWAS) was conducted using FUSION software to assess the association between predicted gene expression and DCS risk. The TWAS-identified genes were verified via comparison with differentially expressed genes (DEGs) in DCS RNA expression profiles in the Gene Expression Omnibus (GEO) (Accession Number: GSE153761). The Functional Mapping and Annotation (FUMA) tool for genome-wide association studies and Meta tools were used for gene functional enrichment and annotation analysis.ResultsThe TWAS detected 420 DCS genes with p < 0.05 in skeletal muscle, such as ribosomal protein S15A (RPS15A) (PTWAS = 0.001), and 110 genes in whole blood, such as selectin L (SELL) (PTWAS = 0.001). Comparison with the DCS RNA expression profile identified 12 common genes, including Apelin Receptor (APLNR) (PTWAS = 0.001, PDEG = 0.025). In total, 148 DCS-enriched Gene Ontology (GO) terms were identified, such as mast cell degranulation (GO:0043303); 15 DCS-enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified, such as the sphingolipid signalling pathway (ko04071). Nine terms, such as degradation of the extracellular matrix (R-HSA-1474228), were common to the TWAS enrichment results and the RNA expression profile.ConclusionOur results identify putative susceptibility genes; these findings provide new ideas for exploration of the genetic mechanism of DCS development and new targets for preclinical intervention and clinical treatment.Cite this article: Bone Joint Res 2023;12(1):80-90.

Dataset Information

Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause.

Objective

Methods

Results

Conclusion

Publications

Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause.

Similar Datasets

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