Dataset Information

Four pleiotropic loci associated with fat mass and lean mass.

ABSTRACT:

Background

Fat mass and lean mass are two biggest components of body mass. Both fat mass and lean mass are under strong genetic determinants and are correlated.

Methods

We performed a bivariate genome-wide association meta-analysis of (lean adjusted) leg fat mass and (fat adjusted) leg lean mass in 12,517 subjects from 6 samples, and followed by in silico replication in large-scale UK biobank cohort sample (N?=?370 097).

Results

We identified four loci that were significant at the genome-wide significance (GWS, ??=?5.0?×?10^-8) level at the discovery meta-analysis, and successfully replicated in the replication sample: 2q36.3 (rs1024137, p_discovery?=?3.32?×?10^-8, p_replication?=?4.07?×?10^-13), 5q13.1 (rs4976033, p_discovery?=?1.93?×?10^-9, p_replication?=?6.35?×?10^-7), 12q24.31 (rs4765528, p_discovery?=?7.19?×?10^-12, p_replication?=?1.88?×?10^-11) and 18q21.32 (rs371326986, p_discovery?=?9.04?×?10^-9, p_replication?=?2.35?×?10^-95). The above four pleiotropic loci may play a pleiotropic role for fat mass and lean mass development.

Conclusions

Our findings further enhance the understanding of the genetic association between fat mass and lean mass and provide a new theoretical basis for their understanding.

SUBMITTER: Liu Y

PROVIDER: S-EPMC7912634 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Publications

Four pleiotropic loci associated with fat mass and lean mass.

Liu Yu Y Ran Shu S Lin Yong Y Zhang Yu-Xue YX Yang Xiao-Lin XL Wei Xin-Tong XT Jiang Zi-Xuan ZX He Xiao X Zhang Hong H Feng Gui-Juan GJ Shen Hui H Tian Qing Q Deng Hong-Wen HW Zhang Lei L Pei Yu-Fang YF

International journal of obesity (2005) 20200727 10

<h4>Background</h4>Fat mass and lean mass are two biggest components of body mass. Both fat mass and lean mass are under strong genetic determinants and are correlated.<h4>Methods</h4>We performed a bivariate genome-wide association meta-analysis of (lean adjusted) leg fat mass and (fat adjusted) leg lean mass in 12,517 subjects from 6 samples, and followed by in silico replication in large-scale UK biobank cohort sample (N = 370 097).<h4>Results</h4>We identified four loci that were significant ...[more]

PMID: 32719433

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Project description:BackgroundRecent studies suggest that adjustment of measures of lean mass for adiposity improves associations with physical function. Our objective was to develop and test a method to adjust appendicular lean mass for adiposity.MethodsWhole-body DXA data in 14,850 adults in the National Health and Nutrition Examination Survey were used to generate sex-, and race-specific standard deviation scores (Z-Scores relative to age and T-scores relative to 25 year-olds) for appendicular lean mass index (ALMI, kg/m2) and fat mass index (FMI, kg/m2). Correlations between ALMI and FMI Z- and T-Scores were assessed within demographic categories. Fat-adjusted ALMI (ALMIFMI) scores were determined using residual methods. Sarcopenia was defined as a T-Score <-2.0 and low lean for age as a Z-Score <-1.0. Correlations with physical function were assessed in an at-risk population.ResultsPositive associations between ALMI and FMI Z- and T-Scores were significant (R >0.50; p<0.001) within all demographic categories. The impact of a unit greater FMI Z-score on ALMI Z-score was less in the elderly, men, white subjects, and among individuals with lower FMI (all tests for interaction p<0.001). There was fair agreement between ALMI and ALMIFMI estimates of sarcopenia and low lean for age [Kappa: 0.46, 0.52, respectively (p<0.0001)]. Elderly subjects were likely to be re-classified as sarcopenic while young subjects were likely to be re-classified as normal using ALMIFMI. ALMIFMI T-scores resulted in approximately twice the number of subjects defined as sarcopenic, compared with ALMI T-Scores. (1299 v. 534). Among rheumatoid arthritis patients, ALMIFMI Z-scores correlated with physical function (Health Assessment Questionnaire: rho = -0.22, p = 0.04; Short Physical Performance Battery: rho = 0.27, p = 0.01); however, the ALMI Z-Score did not.ConclusionsAdjustment of ALMI for the confounding association with FMI impacts the definition of lean mass deficits. These methods provide a practical tool for investigators and clinicians based on population-based reference data.

Dataset Information

Four pleiotropic loci associated with fat mass and lean mass.

Background

Methods

Results

Conclusions

Publications

Four pleiotropic loci associated with fat mass and lean mass.

Similar Datasets

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