Heritability and genetic correlations of obesity indices and cardiometabolic traits in the Northern Chinese families.

  • Published In: Annals of Human Genetics, 2025, v. 89, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lin, Binbin; Pan, Li; He, Huijing; Hu, Yaoda; Tu, Ji; Zhang, Ling; Cui, Ze; Ren, Xiaolan; Wang, Xianghua; Nai, Jing; Shan, Guangliang 3 of 3

Abstract

Objective: This study aimed to investigate the heritability of various obesity indices and their shared genetic factors with cardiometabolic traits in the Chinese nuclear family. Methods: A total of 1270 individuals from 538 nuclear families were included in this cross‐sectional study. Different indices were used to quantify fat mass and distribution, including body index mass (BMI), visceral fat index (VFI), and body fat percent (BFP). Heritability and genetic correlations for all quantitative traits were estimated using variance component models. The susceptibility‐threshold model was utilized to estimate the heritability for binary traits. Results: Heritability estimates for obesity indices were highest for BMI (59%), followed by BFP (49%), and VFI (40%). Heritability estimates for continuous cardiometabolic traits varied from 24% to 50%. All obesity measures exhibited consistently significant positive genetic correlations with blood pressure, fasting blood glucose, and uric acid (rG range: 0.26–0.57). However, diverse genetic correlations between various obesity indices and lipid profiles were observed. Significant genetic correlations were limited to specific pairs: BFP and total cholesterol (rG = 0.24), BFP and low‐density lipoprotein cholesterol (rG = 0.25), and VFI and triglyceride (rG = 0.33). Conclusion: The genetic overlap between various obesity indices and cardiometabolic traits underscores the importance of pleiotropic genes. Further studies are warranted to investigate specific shared genetic and environmental factors between obesity and cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Annals of Human Genetics. 2025/01, Vol. 89, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0003-4800
  • DOI:10.1111/ahg.12578
  • Accession Number:181701859
  • Copyright Statement:Copyright of Annals of Human Genetics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.