The heritability of BMI varies across the range of BMI-a heritability curve analysis in a twin cohort

BACKGROUND

The heritability of traits such as body mass index (BMI), a measure of obesity, is generally estimated using family and twin studies, and increasingly by molecular genetic approaches. These studies generally assume that genetic effects are uniform across all trait values, yet there is emerging evidence that this may not always be the case.

METHOD/SUBJECTS

This paper analyzes twin data using a recently developed measure of heritability called the heritability curve. Under the assumption that trait values in twin pairs are governed by a flexible Gaussian mixture distribution, heritability curves may vary across trait values. The data consist of repeated measures of BMI on 1506 monozygotic (MZ) and 2843 like-sexed dizygotic (DZ) adult twin pairs, gathered from multiple surveys in older Finnish Twin Cohorts.

RESULTS

The heritability curve and BMI value-specific MZ and DZ pairwise correlations were estimated, and these varied across the range of BMI. MZ correlations were highest at BMI values from 21 to 24, with a stronger decrease for women than for men at higher values. Models with additive and dominance effects fit best at low and high BMI values, while models with additive genetic and common environmental effects fit best in the normal range of BMI.

CONCLUSIONS

We demonstrate that twin and molecular genetic studies need to consider how genetic effects vary across trait values. Such variation may reconcile findings of traits with high heritability and major differences in mean values between countries or over time.

Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

Excessive daytime sleepiness (EDS) affects 10-20% of the population and is associated with substantial functional deficits. Here, we identify 42 loci for self-reported daytime sleepiness in GWAS of 452,071 individuals from the UK Biobank, with enrichment for genes expressed in brain tissues and in neuronal transmission pathways. We confirm the aggregate effect of a genetic risk score of 42 SNPs on daytime sleepiness in independent Scandinavian cohorts and on other sleep disorders (restless legs syndrome, insomnia) and sleep traits (duration, chronotype, accelerometer-derived sleep efficiency and daytime naps or inactivity). However, individual daytime sleepiness signals vary in their associations with objective short vs long sleep, and with markers of sleep continuity. The 42 sleepiness variants primarily cluster into two predominant composite biological subtypes - sleep propensity and sleep fragmentation. Shared genetic links are also seen with obesity, coronary heart disease, psychiatric diseases, cognitive traits and reproductive ageing.

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.

Predictors of fibromyalgia: a population-based twin cohort study

BACKGROUND

Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with "possible FM". This study explores prospectively predictors for membership of that FM-symptom cluster.

METHODS

A population-based sample of 8343 subjects of the older Finnish Twin Cohort replied to health questionnaires in 1975, 1981, and 1990. Their answers to the set of FM-symptom questions in 1990 classified them in three latent classes (LC): LC1 with no or few symptoms, LC2 with some symptoms, and LC3 with many FM symptoms. We analysed putative predictors for these symptom classes using baseline (1975 and 1981) data on regional pain, headache, migraine, sleeping, body mass index (BMI), physical activity, smoking, and zygosity, adjusted for age, gender, and education. Those with a high likelihood of having fibromyalgia at baseline were excluded from the analysis. In the final multivariate regression model, regional pain, sleeping problems, and overweight were all predictors for membership in the class with many FM symptoms.

RESULTS

The strongest non-genetic predictor was frequent headache (OR 8.6, CI 95% 3.8-19.2), followed by persistent back pain (OR 4.7, CI 95% 3.3-6.7) and persistent neck pain (OR 3.3, CI 95% 1.8-6.0).

CONCLUSIONS

Regional pain, frequent headache, and persistent back or neck pain, sleeping problems, and overweight are predictors for having a cluster of symptoms consistent with fibromyalgia.

Genetic and environmental influences on non-specific neck pain in early adolescence: a classical twin study

BACKGROUND

Prevalence of neck pain has increased among adolescents. The origins of adult chronic neck pain may lie in late childhood, but for early prevention, more information is needed about its aetiology. We investigated the relative roles of genetic and environmental factors in early adolescent neck pain with a classic twin study.

METHODS

Frequency of neck pain was assessed with a validated pain questionnaire in a population-based sample of nearly 1800 pairs of 11-12-year-old Finnish twins. Twin pair similarity for neck pain was quantified by polychoric correlations, and variance components were estimated with biometric structural equation modelling.

RESULTS

Prevalence of neck pain reported at least once monthly was 38% and at least once weekly 16%, with no significant differences between gender and zygosity. A greater polychoric correlation in liability to neck pain was found in monozygotic (0.67) than for dizygotic pairs (0.38), suggesting strong genetic influences. Model fitting indicated that 68% (95% confidence interval 62-74) of the variation in liability to neck pain could be attributed to genetic effects, with the remainder attributed to unshared environmental effects. No evidence for sex-specific genetic effects or for sex differences in the magnitude of genetic effects was found.

CONCLUSIONS

Genetic and unique environmental factors seem to play the most important roles in liability to neck pain in early adolescence. Future research should be directed to identifying pathways for genetic influences on neck pain and in exploring effectiveness of interventions that target already identified environmental risk factors.

Correlates of depression in a representative nationwide sample of adolescents (15-19 years) and young adults (20-24 years)

BACKGROUND

The authors investigated correlates of depression in a general population sample of adolescents (15-19 years) and young adults (20-24 years).

METHODS

As part of the Finnish Health Care Survey a random sample of 509 adolescents (281 females, 228 males) and 433 young adults (224 females, 209 males) was interviewed in 1996. DSM-IIR major depressive episode (MDE) was assessed by the University of Michigan Composite International Diagnostic Interview Short Form (UM-CIDI SF).

RESULTS

In multivariable regression analysis, current smoking (odds ratio (OR) 5.54; 95% confidence interval (CI) 1.44, 21.3) and chronic illness (OR 3.77; 95% CI: 1.04, 13.7) associated with MDE among adolescents. Among young adults, drunkenness at least twice a month (OR 4.48; 95% CI: 1.44, 14.0) or once a month (OR 2.79; 95% CI: 1.14, 6.83), not being married nor cohabiting (OR 3.50; 95% CI: 1.35, 9.08) and infrequent physical exercise (OR 4.01; 95% CI: 1.18, 14.0) were related to MDE. Female MDE associated with not being married nor cohabiting (OR 3.56; 95% CI: 1.23, 10.1) and living in southern Finland (OR 2.30; 95% CI: 1.06, 5.02). Drunkenness at least twice a month was related to MDE among males (OR 4.54; 95% CI: 1.27, 16.3).

CONCLUSIONS

Attention should be paid to compromised health and health-related behaviour associating with MDE in youth. Specifically, the association between smoking and major depression in early adolescence should be borne in mind, and drinking habits or frequency of drunkenness should be carefully noted.

Deletion polymorphism in the alpha2B-adrenergic receptor gene is associated with flow-mediated dilatation of the brachial artery

A deletion variant of the alpha(2B)-adrenergic receptor (alpha(2B)-AR) has been associated with an increased risk of acute cardiac events in middle-aged men. Our aim was to determine the possible associations between the alpha(2B)-AR gene deletion variant and indicators of subclinical atherosclerosis in the brachial and carotid arteries. A total of 148 middle-aged men participating in an epidemiological twin study on risk factors for subclinical coronary heart disease were genotyped using PCR. Flow-mediated dilatation (FMD) of the brachial artery, carotid artery compliance and carotid intima-media thickness were measured using high-resolution ultrasound. FMD was 6.2+/-5.0% in subjects with the I/I (insertion/insertion) genotype, 5.5+/-4.1% in the I/D (insertion/deletion) group and 4.1+/-3.8% in the D/D (deletion/deletion) group ( P =0.03 for trend). In multivariate regression analysis controlling for age, presence of hypertension, smoking, use of angiotensin-converting enzyme inhibitors and plasma levels of low-density lipoprotein cholesterol and lipoprotein (a), the association between the alpha(2B)-AR genotype and FMD remained significant ( P =0.04 for trend). The alpha(2B)-AR genotype was not associated with intima-media thickness or carotid artery compliance. These findings indicate that subjects homozygous for the deletion allele of alpha(2B)-AR appear to have an increased risk of impaired endothelial function, which may provide an explanation for the previously observed increased risk of myocardial infarction in male subjects with this genotype. It is not known whether the association of the alpha(2B)-AR polymorphism with endothelial function is direct, or is mediated via altered sympathetic activation.