We previously reported the findings from a genome-wide association study of the response of maximal oxygen uptake (Vo2max) to an exercise program. Here we follow up on these results to generate hypotheses on genes, pathways, and systems involved in the ability to respond to exercise training. A systems biology approach can help us better establish a comprehensive physiological description of what underlies Vo2maxtrainability. The primary material for this exploration was the individual single-nucleotide polymorphism (SNP), SNP-gene mapping, and statistical significance levels. We aimed to generate novel hypotheses through analyses that go beyond statistical association of single-locus markers. This was accomplished through three complementary approaches: 1) building de novo evidence of gene candidacy through informatics-driven literature mining; 2) aggregating evidence from statistical associations to link variant enrichment in biological pathways to Vo2max trainability; and 3) predicting possible consequences of variants residing in the pathways of interest. We started with candidate gene prioritization followed by pathway analysis focused on overrepresentation analysis and gene set enrichment analysis. Subsequently, leads were followed using in silico analysis of predicted SNP functions. Pathways related to cellular energetics (pantothenate and CoA biosynthesis; PPAR signaling) and immune functions (complement and coagulation cascades) had the highest levels of SNP burden. In particular, long-chain fatty acid transport and fatty acid oxidation genes and sequence variants were found to influence differences in Vo2max trainability. Together, these methods allow for the hypothesis-driven ranking and prioritization of genes and pathways for future experimental testing and validation.
Cortical bone dimensions of the second metacarpal were analyzed relative to chronological age, skeletal maturity and body size in 280 ice hockey players 10 through 12 years of age. Defencemen had the largest cortical bone dimensions, followed by forwards and goalkeepers respectively. After removing the effects of height, weight, chronological age, and skeletal age by analysis of covariance procedures, boys at the forward position had larger estimated periosteal diameter, cortical thickness, and cortical area, than either defencemen of goalkeepers. Compared to non-athletic boys from Montreal and Philadelphia, the young hockey players had a larger periosteal diameter, cortical thickness, and cortical area for the same stature. The results suggest a possible role for the effects of physical activity on cortical bone deposition.
Objective: The aim of this study was to assess gene‐diet interaction effects on cardiovascular disease (CVD) risk factors (waist circumference, plasma triacylglycerol, high‐density lipoprotein‐cholesterol and fasting glucose concentrations, and diastolic and systolic blood pressure) in the Quebec Family Study cohort. Design: Sixty‐four polymorphisms from 45 candidate genes were studied in 645 subjects. Dietary fat intake was obtained from a 3‐day weighted food record. Results: We observed 18 significant interactions at a p value ≤ 0.01. Among them, the Pro12Ala polymorphism in peroxisome proliferator‐activated receptor γ, alone or in interaction with fat intake, significantly modulated waist circumference ( p = 0.0005 for both effects). Additionally, the apolipoprotein E genotype in interaction with fat intake was significantly associated with diastolic and systolic blood pressure ( p = 0.01 and p = 0.001, respectively). The ghrelin Leu72Met polymorphism also interacted with dietary fat in its relation to waist circumference and triacylglycerol concentrations ( p = 0.0004 and p = 0.005). Discussion: These results suggest that several alleles at candidate genes interact with dietary fat intake to modulate well‐known CVD risk factors. The identification of gene‐diet interaction effects is likely to provide useful information concerning the etiology of CVD.
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This paper reviews current data concerning the role of the genotype in human variation in fat distribution and its contribution in regulating fat deposition in various regions of the body, primarily the lower trunk area. After statistical control over age, gender and total amount of subcutaneous fat, one finds an additive genetic effect of about 20–25 % of remaining human variance in amount of lower trunk fat and in the relative proportion of lower trunk versus extremity fat. In spite of such a moderate genetic effect in fat distribution, the preferential site of fat deposition when exposed to chronic overfeeding is largely determined by one's genotype. Characteristics of regional adipose tissue metabolism and morphology are probably involved in mediating some of these genetic effects but other regulatory mechanisms are undoubtedly implicated.
To investigate the relationship between change in sleep duration and long-term visceral adiposity change in adults.A longitudinal analysis was conducted on 293 participants, aged 18-65 years, followed for a mean of 6.0 ± 0.9 years. At baseline and year 6, sleep duration was self-reported and visceral adipose tissue (VAT) assessed using computed tomography. Multivariable modeling was used to examine the association between change in sleep duration and VAT change over the 6-year time period, with adjustments made for age, sex, change in BMI, personal characteristics, energy intake, and physical activity.Participants gained an average of 19.2 ± 37.3 cm(2) in VAT over the follow-up period. Baseline short (≤6 h/day) and long (≥9 h/day) sleepers gained significantly more VAT than those reporting sleeping 7-8 hours a night (23.4 and 20.2 cm(2) vs. 14.1 cm(2) , respectively, P < 0.05). Using continuous data, we observed that the change in sleep duration was not associated with VAT change. However, a change in sleep duration from ≤6 h/day to 7-8 h/day was associated with 6 cm(2) fewer VAT gain after multivariable adjustment (P < 0.05).A spontaneous change in sleep duration (from a short to an adequate duration) is independently and inversely associated with long-term VAT accumulation.