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Genomic Heritabilities and Correlations of 17 Traits Related to Obesity and Associated Conditions in the Japanese Population. | LitMetric

AI Article Synopsis

  • Obesity has become a significant global health issue, with studies primarily focusing on European populations, leading to a lack of data for non-European groups such as the Japanese.
  • A study involving 18,889 individuals from the Tohoku Medical Megabank Project aimed to analyze the genetic factors associated with obesity traits among the Japanese population.
  • The research highlighted important genetic correlations and heritabilities for various health indicators, revealing differences between the Japanese and European populations, particularly in relation to urinary biomarkers and adiposity traits.

Article Abstract

Over the past few decades, obesity has become a public health issue of global concern. Even though disparities exist between human populations, , the higher liver fat content of the Japanese despite a lower body mass index (BMI), studies on the genetics of obesity still largely focus on populations of European descent, leading to a dearth of genetic data on non-European populations. In this context, this study aimed to establish a broad picture of the genetic attributes of the Japanese population, by examining a representative sample of 18,889 individuals participating in the Tohoku Medical Megabank Project cohort. We applied linear mixed model methods to 17 traits related to obesity and associated diseases to estimate the heritabilities explained by common genetic variants and the genetic correlations between each pair of traits. These analyses allowed us to quantify the SNP heritability of health indicators such as BMI (0.248 ± 0.032) and HDL cholesterol (0.324 ± 0.031), and to provide one of the few estimates of the SNP heritability of cystatin C in unrelated individuals (0.260 ± 0.025). We discuss potential differences between the Japanese and people of European ancestry with respect to the genetic correlations between urinary biomarkers and adiposity traits, for which large estimates were obtained. For instance, the genetic correlations between urine potassium level and the values for weight, BMI, waist circumference, and waist-to-height ratio ranged from 0.290 to 0.559, much higher than the corresponding estimates in the UK Biobank.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341139PMC
http://dx.doi.org/10.1534/g3.120.401242DOI Listing

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