Unknown

Dataset Information

0

Heritability and genome-wide association analyses of fasting plasma glucose in Chinese adult twins.


ABSTRACT: BACKGROUND:Currently, diabetes has become one of the leading causes of death worldwide. Fasting plasma glucose (FPG) levels that are higher than optimal, even if below the diagnostic threshold of diabetes, can also lead to increased morbidity and mortality. Here we intend to study the magnitude of the genetic influence on FPG variation by conducting structural equation modelling analysis and to further identify specific genetic variants potentially related to FPG levels by performing a genome-wide association study (GWAS) in Chinese twins. RESULTS:The final sample included 382 twin pairs: 139 dizygotic (DZ) pairs and 243 monozygotic (MZ) pairs. The DZ twin correlation for the FPG level (rDZ?=?0.20, 95% CI: 0.04-0.36) was much lower than half that of the MZ twin correlation (rMZ?=?0.68, 95% CI: 0.62-0.74). For the variation in FPG level, the AE model was the better fitting model, with additive genetic parameters (A) accounting for 67.66% (95% CI: 60.50-73.62%) and unique environmental or residual parameters (E) accounting for 32.34% (95% CI: 26.38-39.55%), respectively. In the GWAS, although no genetic variants reached the genome-wide significance level (P?

SUBMITTER: Wang W 

PROVIDER: S-EPMC7368793 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Heritability and genome-wide association analyses of fasting plasma glucose in Chinese adult twins.

Wang Weijing W   Zhang Caixia C   Liu Hui H   Xu Chunsheng C   Duan Haiping H   Tian Xiaocao X   Zhang Dongfeng D  

BMC genomics 20200718 1


<h4>Background</h4>Currently, diabetes has become one of the leading causes of death worldwide. Fasting plasma glucose (FPG) levels that are higher than optimal, even if below the diagnostic threshold of diabetes, can also lead to increased morbidity and mortality. Here we intend to study the magnitude of the genetic influence on FPG variation by conducting structural equation modelling analysis and to further identify specific genetic variants potentially related to FPG levels by performing a g  ...[more]

Similar Datasets

| S-EPMC6249314 | biostudies-literature
| S-EPMC8606211 | biostudies-literature
| S-EPMC5845532 | biostudies-literature
| S-EPMC3594606 | biostudies-literature
| S-EPMC7521326 | biostudies-literature
| S-EPMC10040618 | biostudies-literature
| S-EPMC3052446 | biostudies-literature
| S-EPMC4274808 | biostudies-literature
| S-EPMC9327176 | biostudies-literature
| S-EPMC1866503 | biostudies-literature