Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index.

The maintenance of normal body weight is disrupted in patients with anorexia nervosa (AN) for prolonged periods of time. Prior to the onset of AN, premorbid body mass index (BMI) spans the entire range from underweight to obese. After recovery, patients have reduced rates of overweight and obesity. As such, loci involved in body weight regulation may also be relevant for AN and vice versa. Our primary analysis comprised a cross-trait analysis of the 1000 single-nucleotide polymorphisms (SNPs) with the lowest P-values in a genome-wide association meta-analysis (GWAMA) of AN (GCAN) for evidence of association in the largest published GWAMA for BMI (GIANT). Subsequently we performed sex-stratified analyses for these 1000 SNPs. Functional ex vivo studies on four genes ensued. Lastly, a look-up of GWAMA-derived BMI-related loci was performed in the AN GWAMA. We detected significant associations (P-values <5 × 10-5, Bonferroni-corrected P<0.05) for nine SNP alleles at three independent loci. Interestingly, all AN susceptibility alleles were consistently associated with increased BMI. None of the genes (chr. 10: CTBP2, chr. 19: CCNE1, chr. 2: CARF and NBEAL1; the latter is a region with high linkage disequilibrium) nearest to these SNPs has previously been associated with AN or obesity. Sex-stratified analyses revealed that the strongest BMI signal originated predominantly from females (chr. 10 rs1561589; Poverall: 2.47 × 10-06/Pfemales: 3.45 × 10-07/Pmales: 0.043). Functional ex vivo studies in mice revealed reduced hypothalamic expression of Ctbp2 and Nbeal1 after fasting. Hypothalamic expression of Ctbp2 was increased in diet-induced obese (DIO) mice as compared with age-matched lean controls. We observed no evidence for associations for the look-up of BMI-related loci in the AN GWAMA. A cross-trait analysis of AN and BMI loci revealed variants at three chromosomal loci with potential joint impact. The chromosome 10 locus is particularly promising given that the association with obesity was primarily driven by females. In addition, the detected altered hypothalamic expression patterns of Ctbp2 and Nbeal1 as a result of fasting and DIO implicate these genes in weight regulation.

Genes and lifestyle factors in obesity: results from 12,462 subjects from MONICA/KORA.

BACKGROUND: Data from meta-analyses of genome-wide association studies provided evidence for an association of polymorphisms with body mass index (BMI), and gene expression results indicated a role of these variants in the hypothalamus. It was consecutively hypothesized that these associations might be evoked by a modulation of nutritional intake or energy expenditure. OBJECTIVE: It was our aim to investigate the association of these genetic factors with BMI in a large homogenous population-based sample to explore the association of these polymorphisms with lifestyle factors related to nutritional intake or energy expenditure, and whether such lifestyle factors could be mediators of the detected single-nucleotide polymorphism (SNP)-association with BMI. It was a further aim to compare the proportion of BMI explained by genetic factors with the one explained by lifestyle factors. DESIGN: The association of seven polymorphisms in or near the genes NEGR1, TMEM18, MTCH2, FTO, MC4R, SH2B1 and KCTD15 was analyzed in 12,462 subjects from the population-based MONICA/KORA Augsburg study. Information on lifestyle factors was based on standardized questionnaires. For statistical analysis, regression-based models were used. RESULTS: The minor allele of polymorphism rs6548238 C>T (TMEM18) was associated with lower BMI (-0.418 kg m(-2), P=1.22 × 10(-8)), and of polymorphisms rs9935401 G>A (FTO) and rs7498665 A>G (SH2B1) with increased BMI (0.290 kg m(-2), P=2.85 × 10(-7) and 0.145 kg m(-2), P=9.83 × 10(-3)). The other polymorphisms were not significantly associated. Lifestyle factors were correlated with BMI and explained 0.037% of the BMI variance as compared with 0.006% of explained variance by the associated genetic factors. The genetic variants associated with BMI were not significantly associated with lifestyle factors and there was no evidence of lifestyle factors mediating the SNP-BMI association. CONCLUSIONS: Our data first confirm the findings for TMEM18 with BMI in a single study on adults and also confirm the findings for FTO and SH2B1. There was no evidence for a direct SNP-lifestyle association.

Sex Differences in the Prevalence and Modulators of Sleep-Disordered Breathing in Outpatients with Type 2 Diabetes.

In patients with type 2 diabetes, sleep-disordered breathing is a widespread cause of deteriorated quality of life. However, robust prevalence estimates for sleep-disordered breathing in patients with type 2 diabetes are limited due to scarce data. We investigated sex differences in sleep-disordered breathing prevalence and its modulators in the DIACORE SDB substudy, a sample of outpatient type 2 diabetes. 721 participants were tested for sleep-disordered breathing using a two-channel sleep apnoea monitoring device. Patients were stratified according to the severity of sleep-disordered breathing, defined as an apnoea-hypopnoea index < 15, ≥15 to 29, and ≥30 events per hour as no/mild, moderate, and severe sleep-disordered breathing, respectively. In the 679 analysed patients (39% women, age 66 ± 9 years, body mass index 31.0 ± 5.4 kg/m2), the prevalence of sleep-disordered breathing was 34%. The prevalence of sleep-disordered breathing was higher in men than in women (41% versus 22%, p < 0.001) and increased with age (15%, 21%, and 30% in women and 35%, 40%, and 47% in men in those aged 18-59, 60-69, or ≥70, respectively; age trend p = 0.064 in women and p = 0.15 in men). In linear regression analysis, age, BMI, and waist-hip ratio were associated with apnoea-hypopnoea index. Modulators for higher apnoea-hypopnoea index seem to be similar in men and women.

Association of the 103I MC4R allele with decreased body mass in 7937 participants of two population based surveys.

BACKGROUND: The melanocortin-4-receptor gene (MC4R) is part of the melanocortinergic pathway that controls energy homeostasis. In a recent meta-analysis, the MC4R V103I (rs2229616) polymorphism was shown to be associated with body weight regulation. Although no functional differences between the isoleucine comprising receptor and the wild type receptor have been detected as yet, this meta-analysis of 14 case-control studies reported a mild negative association with obesity (odds ratio (OR) 0.69, p = 0.03). However, evidence in a large population based study in a homogeneous population and a significant estimate of the change in quantitative measures of obesity is still lacking. METHODS: We analysed the data of two surveys of a white population with the same high quality study protocol, giving a total of 7937 participants. RESULTS: By linear regression, we found a significant decrease of 0.52 body mass index (BMI) units (95% confidence interval (CI) -0.02 to -1.03, p = 0.043) for carriers of the heterozygote rs2229616G/A genotype, which was observed in 3.7% of the participants. Logistic regression yielded a significantly negative association of the MC4R variant with "above average weight" (BMI > or = median BMI) yielding an OR of 0.75 (95% CI 0.59 to 0.95 p = 0.017). We obtained similar results comparing obese (BMI > or =30 kg/m2, World Health Organization results for 1997) with non-obese (BMI < 30 kg/m2) participants. The results were found for both sexes and each survey separately, and did not depend on the modelling of age, sex, or survey effects. CONCLUSIONS: Our study confirms previous findings of a meta-analysis that the relatively infrequent G/A genotype of the V103I MC4R polymorphism is negatively associated with above average weight and obesity in population based original data of 7937 participants, and extends previous findings by showing for the first time a significantly lower BMI in individuals carrying the infrequent allele of this MC4R variant.

[Epidemiology of age-related macular degeneration]. / Epidemiologie der altersbedingten Makuladegeneration.

Age-related macular degeneration (AMD) is the main cause of blindness in industrialized societies. Population-based epidemiological investigations generate important data on prevalence, incidence, risk factors, and future trends. This review summarizes the most important epidemiological studies on AMD with a focus on their transferability to Germany including existing evidence for the main risk factors for AMD development and progression. Future tasks, such as the standardization of grading systems and the use of recent retinal imaging technology in epidemiological studies are discussed. In Germany, epidemiological data on AMD are scarce. However, the need for epidemiological research in ophthalmology is currently being addressed by several recently started population-based studies.

Randomized comparison of four tools measuring overall quality of life in patients with advanced cancer.

PURPOSE: We report on a clinical trial developed to compare four different instruments that provide overall quality-of-life (QOL) scores, ranging from a simple, one-item instrument to more detailed instruments. Two issues addressed were (1) Will QOL tools suffer from missing data when used in a community-based cooperative group setting?, and (2) Are there additional data generated by a more detailed multiitem instrument over that provided by a single-item global QOL question? MATERIALS AND METHODS: A four-arm randomized trial was designed to compare four instruments that provide overall QOL scores in patients with advanced colorectal cancer. Patients and physicians completed the single-item Spitzer Uniscale (UNISCALE) at baseline and monthly. Patients were randomly assigned to complete, in addition, either the 22-item Functional Living Index-Cancer (FLIC), the five-item Spitzer QOL index (QLI), a picture-face scale (PICT), or nothing else. RESULTS: A total of 128 patients were randomized. Greater than 90% complete QOL data were obtained. There was strong correlation, concordance, and criterion-related validity among all four patient-completed tools. The UNISCALE had a greater decrease over time than did the FLIC (P=.005), which suggests a greater sensitivity; the UNISCALE was similar to the QLI and the PICT in this regard. Physicians provided lower UNISCALE scores than patients. Results supported the hypothesis that QOL is prognostic for survival. CONCLUSION: Patients can effectively complete QOL tools in a cooperative group setting with proper education of health care providers and patients. A simple single-item tool (UNISCALE) appears to be appropriate to obtain a measure of overall QOL.

Evaluation of brain natriuretic peptide as marker of left ventricular dysfunction and hypertrophy in the population.

OBJECTIVE: To evaluate brain natriuretic peptide (BNP) as marker of left ventricular (LV) dysfunction and hypertrophy in a population-based sample of 610 middle-aged subjects (50-67 years) who were further characterized with respect to hemodynamic and anthropometric parameters and by echocardiography. RESULTS: Left ventricular (LV) systolic function, LV mass-index, age, gender, heart rate, and medication with beta adrenergic receptor blockers were significant and independently correlated with BNP (multivariate analysis, P < 0.05 each). As compared to subjects with normal LV function and mass-index (control), subjects with LV dysfunction (LV fractional shortening < 28%) or hypertrophy (LV mass-index > 110 g/m2 in women and > 134 g/m2 in men) were characterized by increased BNP. The increase in BNP associated with LV hypertrophy (n = 69, +101% versus control, P < 0.0001) was similar in magnitude to that associated with LV dysfunction (n = 39, +98% versus control, P < 0.03). These increases were markedly exceeded in subjects with severe LV dysfunction (n = 11, LV fractional shortening < 22%, BNP +197% versus control, P < 0.01), particularly in the presence of concomitant hypertrophy (n = 7, +227%, P < 0.01). The predictive values of BNP varied considerably with the degree of LV dysfunction and the presence or absence of concomitant LV hypertrophy. With 0.81, the highest area under the receiver operator characteristic curve was obtained for the detection of severe LV dysfunction and concomitant hypertrophy and sensitivity, specificity, positive and negative predictive value for this condition were 71, 86, 7 and 99.5%, respectively, for a cut-off of 34 pg/ml. CONCLUSIONS: The current study provides new insight into regulation and diagnostic value of BNP in middle-aged subjects and demonstrates important independent effects of LV function and mass upon BNP plasma concentrations. Although measurement of BNP cannot be recommended for the detection of marginally impaired LV function in the population, it may be helpful to suggest or exclude severe LV dysfunction with concomitant hypertrophy.

Increasing the proportion of women in academic medicine: one institution's response.

OBJECTIVE: To increase gender diversity among the physician consulting staff (PCS) at a major medical center. DESIGN: Because the proportion of female PCS at academic medical centers in the United States has not increased commensurately with increases in the proportion of female graduates from American medical schools, a modeling and graphing technique was developed to analyze this problem and recommend solutions for one large academic medical center. MATERIAL AND METHODS: Personnel data, by gender and year from 1980 through 1994, were collected for all PCS at Mayo Clinic Rochester (MCR). These data were compared with similar data from other US academic medical centers and were used to develop models to predict the proportion of female PCS at MCR yearly until 2005, assuming various hiring and resignation patterns. Novel techniques were developed to illustrate and compare the models. Model-based predictions were compared with national projections, and a realistic target proportion of female PCS was defined on the basis of assumptions about the proportion of female graduates from medical school and internship programs during the next 10 years as well as probable hiring, retention, and resignation rates at MCR. To identify issues critical to recruitment, retention, and professional growth of female PCS at MCR, we used factor analysis to assess responses to a confidential questionnaire sent to all female faculty members. RESULTS: In 1994 and 1995, the proportion of female PCS was 25% at US academic medical centers but only 15% at MCR, and the rate at which this proportion increased from 1980 through 1994 at MCR was also lower than the national rate. Model-based predictions demonstrated that gradually (1.5% per year) increasing the female percentage of new recruits from 26% in 1995 to 40% in 2005 would achieve the targeted 25% female PCS in 13 years. Questionnaire responses from 119 (68%) of the 175 female PCS at MCR identified 6 important recommendations for recruitment and retention of female PCS: survey resignees and candidates who decline positions; appoint more qualified women to policy-making committees; require sensitivity and diversity training for all staff (especially leaders); develop explicit, gender-sensitive criteria for selecting department and division chairs; compare Mayo gender and diversity data with national data at the department or division level; and develop mechanisms for mentoring junior female staff members. CONCLUSION: We developed useful methods for analyzing the PCS gender distribution, defined feasible hiring strategies, and identified specific recommendations to enhance the professional experience of female PCS. These methods can provide a model for other institutions seeking to optimize gender diversity among their staff.

Two dimensions of measurement error: classical and Berkson error in residential radon exposure assessment.

Measurement error in exposure assessment is unavoidable. Statistical methods to correct for such errors rely upon a valid error model, particularly regarding the classification of classical and Berkson error, the structure and the size of the error. We provide a detailed list of sources of error in residential radon exposure assessment, stressing the importance of (a) the differentiation between classical and Berkson error and (b) the clear definitions of predictors and operationally defined predictors using the example of two German case-control studies on lung cancer and residential radon exposure. We give intuitive measures of error size and present evidence on both the error size and the multiplicative structure of the error from three data sets with repeated measurements of radon concentration. We conclude that modern exposure assessment should not only aim to be as accurate and precise as possible, but should also provide a model of the remaining measurement errors with clear differentiation of classical and Berkson components.

Gender-specific association of adiponectin as a predictor of progression of chronic kidney disease: the Mild to Moderate Kidney Disease Study.

Progressive renal vascular sclerosis is a key feature of chronic kidney disease (CKD). Adiponectin, an adipokine with potent anti-inflammatory and antiatherosclerotic properties, is associated with insulin resistance, type II diabetes and cardiovascular disease. In this study, we evaluated the predictive value of adiponectin for the progression of CKD in patients enrolled in the Mild to Moderate Kidney Disease Study. The primary end point was defined as a doubling of the baseline serum creatinine and/or terminal renal failure in 177 patients who completed a prospective follow-up of 7 years. Patients who reached a progression endpoint (n=65) were significantly older, had higher baseline serum creatinine, proteinuria and adiponectin concentrations and more components of the metabolic syndrome. A gender-stratified Cox model revealed adiponectin in men as a significant predictor of progression after adjustment for age, glomerular filtration rate, and proteinuria. Male patients with adiponectin levels above their ROC analysis-derived optimal cutoff of 4 microg/ml had a significantly faster progression than patients below this point. This prospective long-term study in patients with CKD indicates high adiponectin as a novel independent predictor of disease progression in men but not in women. Our observation may be relevant for other conditions of progressive vascular sclerosis and diabetic nephropathy.

Ankle-brachial index and peripheral arterial disease.

Patients with peripheral arterial disease including those with intermittent claudication have a high risk for cardiovascular and cerebrovascular morbidity and mortality. The outcome of patients with intermittent claudication is less limited by local complications in the leg than by the systemic complications of coronary and cerebral vessels. About 30 % of these patients will die within 5 years, three-quarters of them due to vascular events. Analyses using data of the KORA Study 2004/2005 (F3), a follow-up examination of the participants of the MONICA Survey 1994/95 (S3), will try to identify biochemical as well as genetic risk factors for peripheral arterial disease. The anti-atherogenic apolipoprotein A-IV will be one of our candidates of interest.

[How about the uncertainty in the haplotypes in the population-based KORA studies?]. / Wie gut können Haplotypen in den populationsbasierten KORA-Studien rekonstruiert werden?

In the KORA surveys, numerous candidate genes in the context of type 2 diabetes, myocardial infarction, atherosclerosis or obesity are under investigation. Current focus is on genotyping single nucleotide polymorphism (SNPs). Haplotypes are also of increasing interest: haplotypes are combinations of alleles within a certain section of one chromosome. Analysing haplotypes in genetic association studies is often more efficient than studying the SNPs separately. A statistical problem in this context is the reconstruction of the phase: genotyping the SNPs determines the alleles of an individual at one particular locus of the DNA, but does not reveal which allele is located on which one of the two chromosomes. This information is required when talking about haplotypes. There are statistical approaches to identify the most likely two haplotypes of an individual given the genotypes. However, a certain error in prognosis is unavoidable. There are also errors in the genotypes. These errors are assumed to be small for one SNP but can accumulate over the SNPs involved in one haplotype and thus can induce further uncertainty in the haplotype. It is therefore the aim of our project to quantify the uncertainties in the haplotypes particularly for genes investigated in the KORA surveys. We conduct computer simulations based on the haplotypes and their frequencies observed in the KORA individuals and compare the results with simulations based on mathematical modelling of the evolutionary process ("coalescent models"). The uncertainties in the haplotypes have an impact on the search for association between genes and disease: an association may not be detected as the haplotype uncertainty obscures the haplotype frequency differences between cases and controls. It is a further aim of our project to elucidate the extent of this problem and to develop strategies for reducing it.

On the potential of measurement error to induce differential bias on odds ratio estimates: an example from radon epidemiology.

It is well established that odds ratios estimated by logistic regression are subject to bias if exposure is measured with error. The dependence of this bias on exposure parameter values, particularly for multiplicative measurement error, and its implications in epidemiology are not, however, as fully acknowledged. We have been motivated by a German West case-control study on lung cancer and residential radon, where restriction to a subgroup exhibiting larger mean and variance of exposure than the entire group has shown higher odds ratio estimates as compared to the full analysis. By means of correction formulae and simulations, we show that bias from additive classical type error depends on the exposure variance, not on the exposure mean, and that bias from multiplicative classical type error depends on the geometric standard deviation (in other words on the coefficient of variation of exposure), but not on the geometric mean of exposure. Bias from additive or multiplicative Berkson type error is independent of exposure distribution parameters. This indicates that there is a potential of differential bias between groups where these parameters vary. Such groups are commonly compared in epidemiology: for example when the results of subgroup analyses are contrasted or meta-analyses are performed. For the German West radon study, we show that the difference of measurement error bias between the subgroup and the entire group exhibits the same direction but not the same dimension as the observed results. Regarding meta-analysis of five European radon studies, we find that a study such as this German study will necessarily result in smaller odds ratio estimates than other studies due to the smaller exposure variance and coefficient of variation of exposure. Therefore, disregard of measurement error can not only lead to biased estimates, but also to inconsistent results and wrongly concluded effect differences between groups.