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DOI 10.4093/dmj.2024.0139

Медицинская библиотека · Diabetes & metabolism journal · 2024

Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women.

Tam Claudia Ha-Ting, Wang Ying, Wang Chi Chiu, Yuen Lai Yuk, Lim Cadmon King-Poo, Leng Junhong, Wu Ling, Ng Alex Chi-Wai, Hou Yong, Tsoi Kit Ying, Wang Hui, Ozaki Risa, Li Albert Martin, Wang Qingqing, Chan Juliana Chung-Ngor, Ye Yan Chou, Tam Wing Hung, Yang Xilin, Ma Ronald Ching-Wan

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Аннотация

BACKGRUOUND: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.

METHODS

We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.

RESULTS

Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI], 1.38 to 1.96), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.

CONCLUSION

Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Для цитирования: Tam Claudia Ha-Ting, Wang Ying, Wang Chi Chiu, Yuen Lai Yuk, Lim Cadmon King-Poo, Leng Junhong, Wu Ling, Ng Alex Chi-Wai, Hou Yong, Tsoi Kit Ying, Wang Hui, Ozaki Risa, Li Albert Martin, Wang Qingqing, Chan Juliana Chung-Ngor, Ye Yan Chou, Tam Wing Hung, Yang Xilin, Ma Ronald Ching-Wan. Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women.. Diabetes & metabolism journal. 2024. DOI: 10.4093/dmj.2024.0139.

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