Unknown

Dataset Information

0

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

altmetric image

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]

Similar Datasets

| S-EPMC2888798 | biostudies-literature
| S-EPMC7821659 | biostudies-literature
| S-EPMC6700979 | biostudies-literature
| S-EPMC8429416 | biostudies-literature
| S-EPMC6522343 | biostudies-literature
| S-EPMC8140098 | biostudies-literature
| S-EPMC2965799 | biostudies-literature
| S-EPMC3087600 | biostudies-literature