Familial aggregation of metabolic syndrome and its components in a large Chinese population

Objective: To investigate the familial aggregation of metabolic syndrome (MetS) and its components in the Chinese. Methods and Procedures: A total of 17,954 subjects from 5,224 families with multiple siblings aged 25–64 years old (mean age 45.8 years, 51.6% male) were enrolled from a rural area of Anhui Province of China during 2004–2005. Anthropometric measurement, body composition, blood pressure, plasma lipids, and fasting glucose and insulin, as well as a questionnaire interview, were obtained from each participant. Results: Significant correlations among siblings were observed in all the traits examined, including BMI, waist circumference, total body and abdominal fat percentage, fasting plasma glucose (FPG) and insulin, insulin resistance index of homeostatic model assessment (HOMA‐IR), total cholesterol, triglyceride, high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol, and blood pressure, after adjustment for age, gender and some other covariates. The correlation coefficients varied from 0.18 for FPG to 0.42 for HDL‐C. In stratified analyses, we found siblings with a smaller age gap among them had higher intraclass correlation coefficients (ICCs) for most of the above phenotypes than those with a greater age difference, and the correlation of systolic blood pressure (SBP) was stronger in male siblings than that in female. If the eldest sibling is affected by MetS or any of its components, younger siblings bear a twofold to threefold higher risk for developing MetS or any of its components than those with a healthy eldest sibling. Discussion: Our study demonstrated a significant familial resemblance as regards MetS and its components among the Chinese. Further studies are warranted to investigate specific genetic and environmental factors related to MetS in this population.     

A pathophysiological approach to metabolic syndrome using factor analysis in an adult Romanian population

The aim of the study was to examine the role of insulin resistance in etiopathogenesis of metabolic syndrome in an adult Romanian population using exploratory factor analysis. We analyzed 228 non-diabetic subjects randomized in respect to the age and sex distribution of the general population. For each patient, age, sex, body mass index (BMI), systolic and diastolic blood pressure (SBP, DBP), HDL-cholesterol (HDL), plasma triglycerides (TG), fasting plasma glucose (FPG) and fasting insulin were obtained. Factor analysis was performed using principal component analysis, with Varimax rotation of the major determinants of metabolic syndrome. Mean age was 48.9 +/- 12.7 years; 107 (46.9%) were men and 121 (53.1%) women. We found three major factors, which are correlated with metabolic syndrome and may explain its variance. Factor 1 comprises SBP and DBP in men and SBP, DBP and BMI in women. Factor 2 comprises BMI, HDL, TG and FPG in men and BMI, TG and FPG in women. Factor 3 comprises fasting insulin in men and fasting insulin, TG and HDL in women. The finding of more than one factor suggests that insulin resistance is not the only pathophysiological mechanism involved. These factors appear to work independently of each other in men, but they intersect in women, suggesting that the pathophysiology of metabolic syndrome may be different in women compared with men.     

HDL Subspecies in Young Adult Twins: Heritability and Impact of Overweight

The association between abdominal obesity and atherogenic lipid profile emerges from complex interactions of genes and environment. We aimed to explore the heritability and effects of overweight on serum lipid profile (high‐density lipoprotein‐cholesterol (HDL‐C), HDL mean particle size, percentages of HDL_{2b, 2a, 3a, 3b, and 3c}, low‐density lipoprotein‐cholesterol (LDL‐C), LDL peak particle size and triglycerides (TGs)) in healthy, young adults. HDL‐C, LDL‐C, and TG were measured in 52 monozygotic (MZ) and 89 dizygotic (DZ) twin pairs, aged 23–32 years, chosen to represent a wide range of BMIs (17.6–42.9 kg/m²). Of them, 24 MZ and 26 DZ pairs were chosen at random for measurements of HDL mean and LDL peak particle sizes and percentages of HDL subspecies. The heritabilities of the lipid parameters adjusted for BMI were HDL‐C 73%, HDL mean particle size 56%, HDL subspecies 46–63%, LDL‐C 79%, LDL peak particle size 49%, and TG 64%. Genetic and environmental correlations between BMI and HDL‐C, LDL‐C, and TG were modest (0.3–0.4). Abdominal overweight (waist circumference ≥94 cm for males and ≥80 cm for females) associated with decreased HDL‐C, increased LDL‐C, and TG concentrations, smaller HDL mean particle size, lower HDL_2b, and higher HDL_3c percentages in both genders. Within MZ twins, controlling for genetic influences, within‐pair differences in HDL_3c percentage were associated with those in waist (r = 0.46, P = 0.032) and BMI (r = 0.51, P = 0.013). In conclusion, serum lipid parameters, including LDL peak and HDL mean particle sizes and HDL subspecies distribution are under strong genetic control. Overweight associated with significant lipid profile changes, particularly, small HDL_3c increased in overweight independent of genetic influences.     

Familial resemblance of blood pressure with residual household environmental effects in consanguineous and nonconsanguineous families from Andhra Pradesh, India.

Familial aggregation of blood pressure (BP), both systolic (SBP) and diastolic (DBP), was examined in consanguineous and nonconsanguineous families from southern India. Path analysis of BP suggests inbreeding effects, with the genetic variance for SBP being lower in the sample that included inbred families. Specifically, genetic heritability for SBP was 38% in the nonconsanguineous sample but only 23% in the combined sample. Genetic heritability for DBP (30%) did not vary by sample, nor were sample differences in cultural heritability detected for either SBP (over 35%) or DBP (about 18%). These findings are remarkably similar to those in a French-Canadian population of Quebec; both reports found a considerably larger effect of the home environment on BP than previous studies.     

BMI and waist circumference in predicting cardiovascular risk factor clustering in Chinese adolescents

Objective: To derive the optimal BMI and waist circumference (WC) cut‐off values to predict clustering of cardiovascular risk factors in Hong Kong Chinese adolescents. Research Methods and Procedures: A total of 2102 Hong Kong Chinese 12 to 19 years of age were recruited. Participants were considered to have clustering of risk factors if at least three of the following risk factors were present: 1) high‐density lipoprotein cholesterol (HDL‐C) ≤1.03 mM, 2) low‐density lipoprotein cholesterol (LDL‐C) ≥2.6 mM, 3) triglyceride (TG) ≥1.24 mM, 4) fasting plasma glucose (FPG) ≥6.1 mM, and 5) age‐, sex‐, and height‐adjusted systolic or diastolic blood pressure (BP) ≥ 90th percentile. Receiver operating characteristics (ROC) curves were generated to identify the optimal age‐adjusted BMI and WC cut‐off values to predict clustering of risk factors in boys and girls separately. These age‐adjusted BMI and WC cut‐offs were transformed to percentile values. Cole's lambda‐mu‐sigma (LMS) method was used to obtain smoothed age‐specific BMI and WC at these percentile values. Results: The areas under ROC curves for BMI in girls and boys were 0.85 [95% confidence interval (CI), 0.77 to 0.92] and 0.76 (95% CI, 0.66 to 0.85), respectively. The respective areas under ROC curves for WC in girls and boys were 0.82 (95% CI, 0.74 to 0.91) and 0.78 (95% CI, 0.68 to 0.87). The optimal BMI thresholds were at the 78th percentile for girls and the 72nd percentile for boys. The respective values for WC were at the 77th percentile for girls and the 76th percentile for boys. The sensitivities and specificities of these cut‐off values ranged from 72% to 80%. Discussion: Age‐ and sex‐specific BMI and WC cut‐off values can be used to identify adolescents with clustering of cardiovascular risk factors.     

Genetic epidemiological study of blood pressure in a sedentary rural agricultural population of West Bengal, India

To study the genetic epidemiology of blood pressure (BP), data on 78 families were collected from a sedentary agricultural population of eastern India. The general levels of both systolic (SBP) and diastolic (DBP) blood pressures are found to be low (mean SBP = 106.41 mm Hg; mean DBP = 63.94 mm Hg). Trends of blood pressures with age are similar to those reported earlier (e.g., in the Framingham study). Environmental variables--e.g., occupation and tobacco use--do not have any direct significant effect on blood pressure variability in this population. Path analysis of family data shows a highly significant familial aggregation and yields a genetic heritability (maximum) estimate of 0.3 for both SBP and DBP. Sib-sib and mother-child correlation estimates are, respectively, 0.3 and 0.25. Father-child correlation estimates are 0.13 for SBP and near zero for DBP. A pseudopolygenic model yields the best fit to the data on SBP, while for DBP a proper resolution of various models considered could not be obtained.     

Estimating Modifying Effect of Age on Genetic and Environmental Variance Components in Twin Models

Twin studies have been adopted for decades to disentangle the relative genetic and environmental contributions for a wide range of traits. However, heritability estimation based on the classical twin models does not take into account dynamic behavior of the variance components over age. Varying variance of the genetic component over age can imply the existence of gene–environment (G × E) interactions that general genome-wide association studies (GWAS) fail to capture, which may lead to the inconsistency of heritability estimates between twin design and GWAS. Existing parametric G × E interaction models for twin studies are limited by assuming a linear or quadratic form of the variance curves with respect to a moderator that can, however, be overly restricted in reality. Here we propose spline-based approaches to explore the variance curves of the genetic and environmental components. We choose the additive genetic, common, and unique environmental variance components (ACE) model as the starting point. We treat the component variances as variance functions with respect to age modeled by B-splines or P-splines. We develop an empirical Bayes method to estimate the variance curves together with their confidence bands and provide an R package for public use. Our simulations demonstrate that the proposed methods accurately capture dynamic behavior of the component variances in terms of mean square errors with a data set of >10,000 twin pairs. Using the proposed methods as an alternative and major extension to the classical twin models, our analyses with a large-scale Finnish twin data set (19,510 MZ twins and 27,312 DZ same-sex twins) discover that the variances of the A, C, and E components for body mass index (BMI) change substantially across life span in different patterns and the heritability of BMI drops to ∼50% after middle age. The results further indicate that the decline of heritability is due to increasing unique environmental variance, which provides more insights into age-specific heritability of BMI and evidence of G × E interactions. These findings highlight the fundamental importance and implication of the proposed models in facilitating twin studies to investigate the heritability specific to age and other modifying factors.     

Effects of Heritability,Shared Environment,and Nonshared Intrauterine Conditions on Child and Adolescent BMI

Heritability studies of BMI, based upon twin samples, have identified genetic and shared environmental components of BMI, but have been largely silent about the nonshared environmental factors. Intrauterine factors have been identified as having significant long‐term effects on BMI and may be a critical source of nonshared environmental influence. Extant studies based on samples of either unrelated individuals or twins cannot separate the effects of genetics, shared environments, and nonshared intrauterine conditions because the one lacks variation in the degree of relatedness and the other has insufficient variation in intrauterine conditions. This study improves upon these prior studies by using a large, sibling‐based sample to examine heritability, shared environmental, and nonshared intrauterine influences on BMI during two age periods in childhood (6–8 years; 12–14 years). The primary interest was in determining the effects of the intrauterine environment on BMI as a component of the nonshared environment and in determining whether there were sex‐specific differences in heritability and/or in the intrauterine factors. These were estimated using regression‐based techniques introduced by DeFries and Fulker. Heritability of BMI was estimated to be 0.20–0.28 at 6–8 years and 0.46–0.61 at 12–14 years. Differences in heritability were found at 12–14 years between same‐sex as compared to mixed‐sex pairs. The shared environmental effect was significant at 6–8 years but insignificant at 12–14 years. Differences in birth weight were significant in all groups at 6–8 years suggesting long‐term effects of the nonshared intrauterine environment; at 12–14 years, birth weight was no longer significant for girls.     

RETRACTION: C-reactive Protein and Metabolic Syndrome in Youth: A Strong Relationship?

Retraction: Note from the Editor‐in‐Chief: This paper is retracted Objective: Metabolic syndrome (MS) is on the rise in youth. As high‐sensitivity C‐reactive protein (hs‐CRP) is associated with cardiovascular/metabolic disorders, we evaluated the association between MS and its components and hs‐CRP in a sample of Brazilian overweight and obese youth. Methods and Procedures: A total of 407 students (229 girls, 273 with excessive weight, 11.3 ± 3.2 years) were evaluated. Measurement included BMI, waist circumference (WC), blood pressure, lipids, insulin, and hs‐CRP. Excessive weight was defined using BMI z ‐score; MS by the modified National Cholesterol Education Program—Adult Treatment Panel III. Results: Subjects were classified into two groups: with MS (n = 72) and without (n = 335). hs‐CRP means and medians were higher in MS group (1.41 mg/l vs. 1.06 mg/l, P < 0.001; 2.21 mg/l vs. 1.23 mg/l, P < 0.001). Associations between hs‐CRP quartiles and insulin resistance (IR) (P < 0.001), MS (P < 0.001), WC (P < 0.000), BMI z‐score (P < 0.001), hypertension (P < 0.001), hypertriglyceridemia (P < 0.001), and low HDL‐c (P = 0.023) were significant; adjustment of hs‐CRP for BMI z‐score eliminated the previous association, except for the number of MS components (nMSc) (P < 0.001). Adjusting for homeostasis model assessment method of IR (HOMA‐IR) did not eliminate the relation between hs‐CRP and MS components. Furthermore, increases in BMI z ‐score and nMSc were associated with an increased hs‐CRP. Excessive weight (odds ratio (OR), 7.9; confidence interval (CI), 4.7–13.4; P = 0.000), hypertension (OR, 2.3; CI, 1.3–4.2; P = 0.003), and hypertriglyceridemia (OR, 2.3; CI, 1.5–3.7; P < 0.001) were independently associated with hs‐CRP. Discussion: In youth, hs‐CRP is strongly related with MS and its components, and is also determined by the body composition. This association indicates a precocious proinflammatory state.     

On the Origin of Rheumatoid Arthritis: The Impact of Environment and Genes—A Population Based Twin Study

Background

Rheumatoid arthritis (RA) is an autoimmune disease with a complex origin. Previous studies have reported heritability estimates on RA at about 60%. Only 16% of the genetic background of the disease has been disclosed so far. The purpose of the present investigation was to provide an optimized estimate on the heritability of RA and to study the recurrence risk in a nationwide Caucasian twin population.

Methods and Findings

In a mail survey addressed to 56.707 twin individuals, RA was reported by 479 individuals, mean age 52 (range 16–73). Respondents underwent an interview and clinical examination. Ascertainment probability was 80%. RA was confirmed in 162 twin individuals yielding a prevalence at 0.37% (95% CI 0.31–0.43). The mean discordance time was 19 years (range 0–57). The concordance was 9.1% (95% CI 1.9 to 24.3) in MZ, 6.4% (95% CI 2.1 to 14.3) in DZss. The increased relative risk of attracting RA conditioned on having an affected cotwin compared to the background population risk was 24.6 to 35.4 in MZ twins and 17.3 to 31.6 in DZss twins. The correlation coefficients were 0.60 (0.33 to 0.78) in monozygotic (MZ) and 0.55 (0.33 to 0.72) in dizygotic same sexed (DZss) pairs. Twelve percent (95% CI 0–76%) of the phenotypic variance in the liability to RA was due to additive genetic effects, 50% (95% CI 0–72%) to shared environmental effects and 38% (95% CI 17–61%) to non-shared environmental effects.

Conclusions

This study emphasizes that family factors are important for the development of RA. Although genetic effectors are important, shared and non-shared environmental triggers and/or epigenetic stochastic events seem to be even more significant. However, it should be borne in mind that the genetic and non-genetic components may not be the same across disease subsets.     

Genetic and Environmental Influences on Body‐Fat Measures among African‐American Twins

Objective: To investigate the genetic and environmental influences on body‐fat measures including waist circumference (WC), waist‐to‐hip ratio (WHR), and body mass index (BMI) among African‐American men and women. Research Methods and Procedures: Measurements were taken as part of the Carolina African American Twin Study of Aging. This sample currently comprises 146 same‐sex African‐American twins with an average age of 50 years (range, 22 to 88 years). This analysis included 26 monozygotic and 29 dizygotic men and 45 monozygotic and 46 dizygotic women. Maximum likelihood quantitative genetic analysis was used. Results: In men, additive genetic effects accounted for 77% of the variance in WC, 59% in WHR, and 89% in BMI. In women, additive genetic effects accounted for 76% of the variance in WC, 56% in WHR, and 73% in BMI. The remaining variance in both men and women was attributed to unique environmental effects (WC, 21%; WHR, 36%; BMI, 11% in men and WC, 22%; WHR, 38%; BMI, 27% in women) and age (WC, 2%; WHR, 5% in men and WC, 2%; WHR, 6% in women). When BMI was controlled in the analysis of WC and WHR, it accounted for a portion of the genetic and environmental variance in WHR and over one‐half of the genetic and environmental variance in WC. Discussion: There are both genetic and environmental influences on WC, WHR, and BMI, and independent of BMI, there are genetic and environmental effects on WC and WHR among both genders. The results from this African‐American twin sample are similar to findings among white twin samples.     

Arterial Stiffness,Carotid Intima-Media Thickness,Endocan, and A Disintegrin and Metalloproteinase With Thrombospondin Type I Motif 9 Levels and Their Relationship With Disease Activity in Patients With Acromegaly With and Without Cardiovascular Risk Factors

ObjectiveCardiovascular complications such as cardiomyopathy and endothelial dysfunction, which are frequently seen in patients with acromegaly, are among the most important causes of morbidity and mortality. In this study, we aimed to investigate arterial stiffness, carotid intima-media thickness, endocan level, and A disintegrin and metalloproteinase with thrombospondin type I motif 9 level and their relationship with disease activity in patients with acromegaly with and without cardiovascular risk factors.MethodsA total of 60 patients with acromegaly—25 with active disease, 26 with well-controlled disease, and 9 with newly diagnosed disease—and 60 age-, sex-, and body mass index (BMI)-matched healthy control subjects were enrolled in this study. All the subjects’ height, weight, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG) level, insulin, hemoglobin A1C (HbA1C), C-reactive protein , lipid, endocan, A disintegrin and metalloproteinase with thrombospondin type I motif 9 levels, pulse wave velocity (PWV), and carotid intima-media thickness were measured.ResultsThe SBP, DBP, FPG level, HbA1C level, and PWV of the acromegaly group were higher than those of the control group. In patients with acromegaly with cardiovascular disease (CVD) risk factors, the PWV was higher than that in the control group, and in patients with acromegaly without CVD risk factors, the PWV was similar to that in the control group. In a correlation analysis, a positive correlation was found between PWV and age, BMI, SBP, DBP, FPG level, and HbA1C level in the acromegaly group.ConclusionIn our study, we found that arterial stiffness increased in patients with acromegaly with CVD risk factors and that increased arterial stiffness was associated with hemodynamic (SBP and DBP) and metabolic (BMI, FPG level, and HbA1C level) parameters.     

Tracking of familial resemblance for resting blood pressure over time in the Québec Family Study

The etiology of familial resemblance for systolic (SBP) and diastolic (DBP) blood pressure, both within a single time point as well as across time points, was assessed to determine how familial etiologies underlying a trait may change across time. SBP and DBP measurements were taken roughly 12 years apart in family members participating in the longitudinal Québec Family Study. A longitudinal (bivariate) familial correlation model yields 3 types of correlations: intraindividual cross-time (e.g., father's BP at time 1 with his own BP at time 2); interindividual within-time (e.g., father time 1 with child time 1); and interindividual cross-time (e.g., father time 1 with child time 2). In addition, the change in BP across time (i.e., time 1-time 2) is examined using a univariate family correlation model. This combined method is useful in assessing the degree to which the same familial factors are operating across time (interindividual cross-time correlations), as well as the degree to which different heritable components are involved across time (change score). Maximal heritabilities for SBP were about 70% at each time point, while for DBP the heritability was larger at time 1 (87%) than time 2 (39%). Both the change scores (48% for SBP and 54% for DBP) and the cross-time comparisons (58% to 72% for SBP and 63% to 65% for DBP) evidenced significant familial resemblance. These results illustrate how simple methodologies can be used to specify how familial etiologies underlying a trait may change across time. For BP, the model includes unique familial factors that are specific to each time measurement, and an additional familial factor which is common to both time points. The factors leading to differences in longitudinal familial resemblance for BP (i.e., the unique factors) may be primarily genetic in origin, while those leading to stability across time may include both genetic and familial environmental effects. Sex and/or age interactions with the genotypes are also suggested.     

Optimal Waist Circumference for Prediction of Metabolic Syndrome in Young Korean Women With Polycystic Ovary Syndrome

The International Diabetes Federation consensus proposed an ethnically specific criteria of waist circumference (WC) for central obesity, but, the nationwide definition is still debated in Korea. For the detection of the optimal WC cutoff value, the nonadipose components of the metabolic syndrome (MS) were defined by modification of revised 2003 Rotterdam consensus as having two or more risk factors such as hypertension, hyperglycemia, and dyslipidemia without consideration of abdominal obesity. By using receiver‐operating characteristic (ROC) curve analysis, cutoff points of WC and visceral fat area (VFA) for prediction of MS were 80 cm and 53.1 cm². WC cutoff points corresponding to VFA >53.1 and 100 cm² were 73.3 and 77.8 cm. The sensitivity and specificity of currently used value of WC 88 cm were 41.9 and 91.5%, suggesting that it could be too high in Korean population. Central obesity defined as WC >80 cm was significantly associated with nonadipose components of MS after adjustment for age, BMI, cholesterol, triglycerides, fasting insulin, and free testosterone levels. Central obesity with WC of >80 cm predicted the presence of nonadipose MS (odds ratio 16.6; 95% confidence interval (CI) 6.5–42.6). It was also significant (odds ratio 14.7; 95% CI 3.4–64.3) when we applied the WC value of 70 cm instead of 80 cm. In conclusion, WC of 80 and 70 cm could be appropriate cutoff points to identify the MS and visceral adiposity in Korean women with polycystic ovary syndrome (PCOS), respectively. Therefore, PCOS women with a WC over 70 cm should be closely monitored for the development of MS.     

学龄双生子儿童头面部特征的遗传学分析

为探讨遗传与环境因素对学龄双生子儿童头面部特征的影响, 对呼和浩特市和包头市7-12岁369对双生子儿童(同卵180对, 同性别异卵141对, 异性别异卵48对)的16项头面部指标进行活体测量。采用通径分析方法, 用Mx软件拟合最佳结构方程模型, 计算各指标遗传与环境方差组分, 分析年龄、性别的作用。结果发现, 校正年龄后, 头部指标中头围的遗传度(男66%, 女66%)较高; 面部指标中, 容貌面高的遗传度(男73%, 女84%)最高, 其次为鼻宽(男57%, 女67%)、眼内角间宽(男57%, 女50%)和额最小宽(男50%, 女50%); 头长(男64%, 女25%)、头宽(男26%, 女82%)、眼外角间宽(男76%, 女34%)和容貌耳长(男23%, 女70%)的遗传度存在一定的性别差异。表明遗传因素与环境因素对学龄双生子儿童的头面部发育均有一定影响, 其中遗传因素对男女头围及容貌面高、男性头长和眼外角间宽、女性头宽、鼻宽、口宽、容貌耳长的影响相对较大。     

The extent to which adiposity markers explain the association between sedentary behavior and cardiometabolic risk factors

An emerging body of evidence suggests that sedentary behavior (SB) is an independent risk factor for cardiometabolic disease. Recent data suggest that multi-domain SB has detrimental associations with BMI, waist circumference (WC), and nonadiposity-related (total cholesterol, high density lipoprotein cholesterol (HDL-C), systolic (SBP) and diastolic (DBP) blood pressure) cardiometabolic risk markers. The aim of this cross-sectional study was to examine the extent to which the associations between SB and nonadiposity-related cardiometabolic risk markers are explained by adiposity markers. Subjects were 5,067 Health Survey for England (HSE) 2008 respondents (2,552 men) aged 16-65 years. The measurements protocol involved self-reports of television time, other recreational sitting, occupational sitting/standing, physical activity and objective measures of weight, height, WC, total cholesterol, HDL cholesterol, SBP, and DBP. BMI or WC adjustments of the multivariable models looking at the associations between SB and nonadiposity markers attenuated all associations towards the null. Using established logistic regression-based algorithms we calculated that a large percentage of the associations between SB time and nonadiposity risk factors is explained by BMI or WC (range: 27.3-95.9%). Future longitudinal studies should further examine the mediatory role of adiposity in explaining the associations between SB and cardiometabolic risk.     

The age dependency of gene expression for plasma lipids, lipoproteins, and apolipoproteins.

The aim of this study was to investigate and disentangle the genetic and nongenetic causes of stability and change in lipids and (apo)lipoproteins that occur during the lifespan. Total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and lipoprotein(a) (Lp[a]) were measured in a group of 160 middle-aged parents and their twin offspring (first project) and in a group of 203 middle-aged twin pairs (second project). Combining the data of both projects enabled the estimation of the extent to which measured lipid parameters are influenced by different genes in adolescence and adulthood. To that end, an extended quantitative genetic model was specified, which allowed the estimation of heritabilities for each sex and generation separately. Heritabilities were similar for both sexes and both generations. Larger variances in the parental generation could be ascribed to proportional increases in both unique environmental and additive genetic variance from childhood to adulthood, which led to similar heritability estimates in adolescent and middle-aged twins. Although the magnitudes of heritabilities were similar across generations, results showed that, for total cholesterol, triglycerides, HDL, and LDL, partly different genes are expressed in adolescence compared to adulthood. For triglycerides, only 46% of the genetic variance was common to both age groups; for total cholesterol this was 80%. Intermediate values were found for HDL (66%) and LDL (76%). For ApoA1, ApoB, and Lp(a), the same genes seem to act in both generations.     

Childhood obesity: genetic and environmental overlap with normal-range BMI

Objective: To understand the overlap between the etiology of obesity and normal variation in BMI in children. Methods and Procedures: Height and weight data were available from a large UK representative sample of twins: 2,342 same‐sex pairs at 7 years and 3,526 same‐sex pairs at 10 years. The twin method and model‐fitting techniques were used to estimate genetic and environmental contributions to BMI. DeFries‐Fulker (DF) extremes analysis was used to investigate genetic and environmental influences on the mean difference between obese and normal‐weight children. Obesity was classified using the International Obesity Task Force (IOTF) criteria. Results: At both ages, BMI and obesity were highly heritable (0.60–0.74) and only modestly influenced by shared environmental factors (0.12–0.22). Extremes analyses indicated that genetic and environmental influences on obesity are quantitatively and qualitatively similar to those operating across the range of BMI. Discussion: Obesity is the extreme of the same genetic and environmental factors responsible for variation throughout the distribution of BMI. This finding implies that genes that influence obesity will also be associated with BMI in the normal range, and similar environmental influences will affect BMI in the clinical and normal range. Knowing that obesity is influenced by the same genetic and environmental factors that affect weight at all levels has implications for investigating the mechanisms for weight gain and developing interventions for weight control.     

Heritability and genetic correlations explained by common SNPs for metabolic syndrome traits

We used a bivariate (multivariate) linear mixed-effects model to estimate the narrow-sense heritability (h(2)) and heritability explained by the common SNPs (h(g)(2)) for several metabolic syndrome (MetS) traits and the genetic correlation between pairs of traits for the Atherosclerosis Risk in Communities (ARIC) genome-wide association study (GWAS) population. MetS traits included body-mass index (BMI), waist-to-hip ratio (WHR), systolic blood pressure (SBP), fasting glucose (GLU), fasting insulin (INS), fasting trigylcerides (TG), and fasting high-density lipoprotein (HDL). We found the percentage of h(2) accounted for by common SNPs to be 58% of h(2) for height, 41% for BMI, 46% for WHR, 30% for GLU, 39% for INS, 34% for TG, 25% for HDL, and 80% for SBP. We confirmed prior reports for height and BMI using the ARIC population and independently in the Framingham Heart Study (FHS) population. We demonstrated that the multivariate model supported large genetic correlations between BMI and WHR and between TG and HDL. We also showed that the genetic correlations between the MetS traits are directly proportional to the phenotypic correlations.     

Sex‐dependent Associations of Leptin With Metabolic Syndrome–related Variables: The Stanislas Study

Serum leptin has been reported to be associated in a sex‐dependent manner with C‐reactive protein (CRP), independently of adiposity. We tested the hypothesis that leptin is associated, independently of anthropometry indexes and in a sex‐dependent way, with other inflammatory markers and variables related to metabolic syndrome (MS). In 384 healthy middle‐aged adults (192 men and 192 women) total fat mass (FM), waist circumference (WC), serum leptin and 15 MS‐related parameters (systolic and diastolic blood pressure, triglycerides, cholesterol, high density lipoprotein (HDL)‐cholesterol, apo AI and B, fasting glucose, uric acid, CRP, orosomucoid and haptoglobin levels and aspartate aminotransferase (ASAT), alanine aminotransferase (ALAT) and γ‐glutamyl transferase (GGT) activities) were measured. After adjustment for age, alcohol and cigarette consumption, WC, and total FM, leptin concentration was significantly associated with serum triglycerides, total cholesterol, apo B, uric acid and haptoglobin concentrations and liver enzyme activity only in men, and with apo AI, HDL‐cholesterol (only borderline) and CRP only in women. Sex interaction terms were significant for total cholesterol, apo B, HDL cholesterol, uric acid, ALAT and GGT, and borderline significant for triglycerides, apo AI and ASAT. In this healthy population, leptin is significantly associated with various MS factors, independently of WC and total FM, depending on gender. Our study provides further evidence of sex‐related differences mediated by leptin in inflammatory mechanisms and other MS‐related metabolic pathways.