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Exploring Potential Causal Genes for Uterine Leiomyomas: A Summary Data-Based Mendelian Randomization and FUMA
Yuxin Dai1, Xudong Liu2, Yining Zhu3
1Department of Obstetrics and Gynecology, State Key Laboratory of Complex, Severe and Rare Diseases, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study identified genetic variants and genes potentially causing uterine leiomyomas (ULs) using Mendelian randomization and functional mapping. Key genes like CDC42 and ABCB9 were implicated in UL pathogenesis.
Area of Science:
- Genetics
- Genomics
- Reproductive Biology
Background:
- Uterine leiomyomas (ULs) are common benign tumors of the myometrium.
- The underlying genetic factors contributing to UL development are not fully understood.
Purpose of the Study:
- To identify potential causal genetic variants and genes involved in the pathogenesis of uterine leiomyomas.
- To leverage large-scale genetic data for etiological insights into ULs.
Main Methods:
- Summary data-based Mendelian randomization (SMR) analyses were performed.
- Functional mapping and annotation were conducted using FUMA.
- Data from a large genome-wide association study (GWAS) of ULs (n=244,324) and eQTL data (CAGE and GTEx) were utilized.
Main Results:
- SMR analysis with CAGE eQTL data identified 10 genes, including CDC42 and ABCB9, potentially causally associated with ULs.
- FUMA analysis implicated 137 genes and 106 independent SNPs in UL pathogenesis.
- Seven genes were consistently identified by both SMR and FUMA analyses.
Conclusions:
- Multiple genetic variants, genes, and genomic loci are potentially involved in the pathogenesis of uterine leiomyomas.
- Further research is necessary to elucidate the precise molecular mechanisms driving UL etiology.
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