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Introduction: A lack of physical activity (PA) is one of the most pressing health issues today. Our individual propensity for PA is influenced by genetic factors. Stated liking of different PA types may help capture additional and informative dimensions of PA behavior genetics. Methods: In over 157,000 individuals from the UK Biobank, we performed genome-wide association studies of five items assessing the liking of different PA types, plus an additional derived trait of overall PA-liking. We attempted to replicate significant associations in the Netherlands Twin Register (NTR) and TwinsUK. Additionally, polygenic scores (PGS) were trained in the UK Biobank for each PA-liking item and for self-reported PA behavior, and tested for association with PA in the NTR. Results: We identified a total of 19 unique significant loci across all five PA-liking items and the overall PA-liking trait, and these showed strong directional consistency in the replication cohorts. Four of these loci were previously identified for PA behavior, including CADM2 , which was associated with three PA-liking items. The PA-liking items were genetically correlated with self-reported (r g = 0.38–0.80) and accelerometer (r g = 0.26–0.49) PA measures, and with a wide range of health-related traits. Each PA-liking PGS significantly predicted the same PA-liking item in NTR. The PGS of liking for going to the gym predicted PA behavior in the NTR (r 2 = 0.40%) nearly as well as a PGS based on self-reported PA behavior (r 2 = 0.42%). Combining the two PGS into a single model increased the r 2 to 0.59%, suggesting that PA-liking captures distinct and relevant dimensions of PA behavior. Conclusions: We have identified the first loci associated with PA-liking and extended our understanding of the genetic basis of PA behavior. [ABSTRACT FROM AUTHOR]

The incidence of nonalcoholic fatty liver disease (NAFLD) is highest among Mexican‐origin (MO) adults. Few studies have estimated the prevalence of NAFLD in this subpopulation, particularly by sex and age. We assessed the prevalence of NAFLD in a community sample of MO adults residing in a border region of southern Arizona and determined risk factors associated with NAFLD. A total of 307 MO adults (n = 194 women; n = 113 men) with overweight or obesity completed an in‐person study visit, including vibration‐controlled transient elastography (FibroScan) for the assessment of NAFLD status. A continuous attenuation parameter score of ≥288 dB/m (≥5% hepatic steatosis) indicated NAFLD status. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for NAFLD. We identified 155 participants (50%) with NAFLD, including 52% of women and 48% of men; there were no sex differences in steatosis (men, 287.8 dB/m; women, 288.4 dB/m). Sex, age, patatin‐like phospholipase domain containing 3 (PNPLA3) risk allele carrier status, comorbidities, and cultural and behavioral variables were not associated with NAFLD status. There was some evidence for effect modification of body mass index (BMI) by sex (Pinteraction = 0.08). The estimated OR for an increase in BMI of 5 kg/m2 was 3.36 (95% CI, 1.90, 5.91) for men and 1.92 (95% CI, 1.40, 2.64) for women. In post hoc analyses treating steatosis as a continuous variable in a linear regression, significant effect modification was found for BMI by sex (Pinteraction = 0.03), age (P = 0.05), and PNPLA3 risk allele carrier status (P = 0.02). Conclusion: Lifestyle interventions to reduce body weight, with consideration of age and genetic risk status, are needed to stem the higher rates of NAFLD observed for MO populations. [ABSTRACT FROM AUTHOR]

Introduction: Low lean mass (LM) is a risk factor for chronic disease, a major cause of disability and diminished quality of life, and is a heritable trait. However, relatively few specific genetic factors have been identified as potentially influencing this trait. Methods: In this study, we selected 1493 single-nucleotide polymorphisms (SNP) in 155 candidate genes involved in anabolic, catabolic, growth hormone, and other related pathways and examined their association with LM, assessed by dual-energy x-ray absorptiometry, in a sample of 2760 non-Hispanic and Hispanic white postmenopausal women from the Women's Health Initiative (WHI) Observational Study. We assessed the replication of our top findings in a meta-analysis of 20 genome-wide association studies (n = 38,292) conducted by the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium Musculoskeletal Working Group. Results: We identified 32 SNPs that had nominally significant associations with LM in the WHI cohort. In the replication stage, we find that SNP rs2276541 in the activin A receptor, type IIB (ACVR2B), was significantly associated with LM (β = 0.15, P = 2.17 x 10-5). ACVR2B codes for a receptor for a negative regulator of skeletal muscle, myostatin, and has previously been identified in a candidate gene study as a determinant of skeletal muscle mass. Conclusions: Our findings support a previously proposed role of ACVR2B allelic variation as a determinant of muscle mass and extend prior findings in men and women. Additional large-scale studies will be needed to confirm our findings in different populations. [ABSTRACT FROM AUTHOR]

Background--Several studies suggest that some triglyceride-associated single-nucleotide polymorphisms (SNPs) have pleiotropic and opposite effects on glycemic traits. This potentially implicates them in pathways such as de novo lipogenesis, which is presumably upregulated in the context of insulin resistance. We therefore tested whether the association of triglyceride-associated SNPs with triglyceride levels differs according to one's level of insulin resistance. Methods and Results--In three cohort studies (combined n=12,487), we tested the interaction of established TG-associated SNPs (individually and collectively) with several traits related to insulin resistance, on TG levels. We also tested the interaction of TG SNPs with fasting insulin (FI)-associated SNPs, individually and collectively, on TG levels. We find significant interactions of a weighted genetic risk score (GRS) for TG with insulin resistance on TG (pinteraction=2.73 × 10-11 and pinteraction=2.48 × 10-11 for FI and HOMA-IR, respectively). The association of the TG GRS with TG is over 60% stronger among those in the highest tertile of HOMA-IR, compared to those in the lowest tertile. Individual SNPs contributing to this trend include those in/near GCKR, CILP2, and IRS1, while PIGV-NROB2 and LRPAP1 display an opposite trend of interaction. In the pooled dataset, we also identify a SNP-by-SNP interaction involving a TG-associated SNP, rs4722551 near MIR148A, with a FI-associated SNP, rs4865796 in ARL15 (pinteraction=4.1 × 10-5). Conclusions--Our findings may thus provide genetic evidence for the upregulation of triglyceride levels in insulinresistant individuals, in addition to identifying specific genetic loci and a SNP-by-SNP interaction implicated in this process. [ABSTRACT FROM AUTHOR]