| Autor: |
Miao Zhang, Qing Li, Kai-Lin Wang, Yao Dong, Yu-Tong Mu, Yan-Min Cao, Jin Liu, Zi-Heng Li, Hui-Lu Cui, Hai-Yan Liu, An-Qun Hu, Ying-Jie Zheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-15 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1479-5876 |
| DOI: |
10.1186/s12967-023-03902-4 |
| Popis: |
Abstract Background Genetic knowledge of gestational diabetes mellitus (GDM) in Chinese women is quite limited. This study aimed to identify the risk factors and mechanism of GDM at the genetic level in a Chinese population. Methods We conducted a genome-wide association study (GWAS) based on single nucleotide polymorphism (SNP) array genotyping (ASA-CHIA Bead chip, Illumina) and a case-cohort study design. Variants including SNPs, copy number variants (CNVs), and insertions-deletions (InDels) were called from genotyping data. A total of 2232 pregnant women were enrolled in their first/second trimester between February 2018 and December 2020 from Anqing Municipal Hospital in Anhui Province, China. The GWAS included 193 GDM patients and 819 subjects without a diabetes diagnosis, and risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated by a regression-based method conditional on the population structure. The calling and quality control of genotyping data were performed following published guidelines. CNVs were merged into CNV regions (CNVR) to simplify analyses. To interpret the GWAS results, gene mapping and overexpression analyses (ORAs) were further performed to prioritize the candidate genes and related biological mechanisms. Results We identified 14 CNVRs (false discovery rate corrected P values |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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