Unemployment and marital status in Great Britain.

During the past decade, the marriage rate has declined and the divorce rate has increased in Great Britain. Becker (1981) attributes such changes to improvements in the economic status of women, in that high-wage women gain less from marriage relative to other women. However, an empirical analysis of data from the General Household Survey 1985 in Great Britain shows that male unemployment is another important determinant of changes in marital status. High rates of male unemployment reduce the incidence of marriage and increase the likelihood of divorce.     

Artery balloon angioplasty and depression symptoms

Peripheral arterial occlusive disease (PAOD) as a chronic disease is associated with physical, psychological and social distress for elderly patients and their families. The study has three main aims: 1. to evaluate the occurrence and the relevance of depression symptoms in patients with PAOD, 2. to evaluate the effect of age and Fontaine stage of PAOD on relevance of depression in patients with PAOD, and 3. to evaluate the effect of artery balloon angioplasty (ABA) on occurence and relevance of depression symptoms. The study was prospective and longitudinal. Dates were obtained during year 2006. The total number of subjects with PAOD was 42 (28 males, 14 females). Thirty subjects with PAOD (20 male, 10 female) treated by ABA filled in Zung's scale 3-6 months after ABA (61%). The mean age of all subjects was 65.4 years (aged 45-79). The evaluation of occurrence and relevance of depression was performed with Czech version of Zung self-rating depression scale (ZSRS). The mean Zung self-rating depression score (ZSRDS) certifies the presence of signs of minimum or mildly depression in patients with PAOD. The results proved statistically significant dependence of depression on age and on Fontaine stage of PAOD. Also, the results proved that artery balloon angioplasty has a highly positive effect on occurrence and relevance of depression symptoms. The results had shown the existence of the association between PAOD, depression and ABA.     

Effects of lifestyle, personality, symptoms of anxiety and depression, and genetic predisposition on subjective sleep disturbance and sleep pattern.

The effects on sleep pattern ('short-sleep' versus 'long-sleep') and subjective sleep disturbance of genotype, personality, symptoms of anxiety and depression, and lifestyle, were examined using survey data on a clinically unselected sample of adult Australian twin pairs, aged 17-88 years. When the effects of genotype, personality and symptoms were ignored, lifestyle variables appeared to account for roughly 4% of the variance in sleep disturbance, and 9% of the variance in sleep pattern. Significant genetic effects on sleep disturbance and sleep pattern were found, which were only partly explained by the effects of personality and symptoms of anxiety and depression. Much of the association between sleep disturbance and lifestyle appeared to be explained by separate effects of personality and symptoms of anxiety and depression on sleep and lifestyle ('genotype-risk-factor correlation'). There was little evidence for genetically determined differences in sensitivity to the lifestyle variables ('genotype x risk-factor interaction').     

Relationships in Canada between mortality from tumours of the gastrointestinal tract and marital status.

The mortality from tumours of the gastrointestinal tract in the Canadian population in 1970-72 was 16% higher in single than in married men (on the basis of age-adjusted rates), 25% higher in widowed men and 28% higher in divorced men. All these differences were unlikely to be due to chance. The rates were 4% higher for single women, 14% higher for widows and 22% higher for divorced women, compared with the married. The differences for single and divorced women were not significant. Substantial excess mortality was found in the unmarried for tumours of the mouth, pharynx and esophagus, and rectum; for tumours of the stomach and colon the excess was small or nonexistent. This variation between sites suggests that systematic errors in the census data used as denominators are not responsible for the high mortality for the unmarried from certain tumours. The effect is found in conditions for which treatment can have made little difference (e.g., a 75% excess mortality for tumours of the esophagus in single men compared with married) and in conditions for which differences in the use of medical facilities may have been important (e.g., a 44% excess mortality for tumours of the rectum in widowers).     

Shared genetic risk factors for obstructive sleep apnea and obesity.

Both obesity and obstructive sleep apnea (OSA) are complex disorders with multiple risk factors, which interact in a complicated fashion to determine the overall phenotype. In addition to environmental risk factors, each disorder has a strong genetic basis that is likely due to the summation of small to moderate effects from a large number of genetic loci. Obesity is a strong risk factor for sleep apnea, and there are some data to suggest sleep apnea may influence obesity. It is therefore not surprising that many susceptibility genes for obesity and OSA should be shared. Current research suggests that approximately half of the genetic variance in the apnea hypopnea index is shared with obesity phenotypes. Genetic polymorphisms that increase weight will also be risk factors for apnea. In addition, given the interrelated pathways regulating both weight and other intermediate phenotypes for sleep apnea such as ventilatory control, upper airway muscle function, and sleep characteristics, it is likely that there are genes with pleiotropic effects independently impacting obesity and OSA traits. Other genetic loci likely interact with obesity to influence development of OSA in a gene-by-environment type of effect. Conversely, environmental stressors such as intermittent hypoxia and sleep fragmentation produced by OSA may interact with obesity susceptibility genes to modulate the importance that these loci have on defining obesity-related traits.     

Impact of genetic variations in ADORA2A gene on depression and symptoms: a cross-sectional population-based study

Purinergic Signalling - Genetic variants involved in adenosine metabolism and its receptors were associated with increased risk for psychiatric disorders, including anxiety, depression, and...     

Prediction of genetic risk for dyslipidemia

The purpose of the present study was to identify genetic variants that confer susceptibility to dyslipidemia. A total of 5213 individuals from two independent populations were examined: Subject panel A comprised 3794 individuals who visited participating hospitals; subject panel B comprised 1419 community-dwelling elderly individuals. The genotypes for 100 polymorphisms of 65 candidate genes were determined. The chi(2) test and multivariable logistic regression analysis revealed that seven polymorphisms of APOA5, APOC3, APOA1, ACAT2, and LPL were significantly associated with hypertriglyceridemia, six polymorphisms of APOA5, LIPC, and CYP3A4 with low HDL-cholesterol, and three polymorphisms of APOE and CCR2 with high LDL-cholesterol in subject panel A. For validation of these associations, the same polymorphisms were examined in subject panel B. Six polymorphisms of APOA5, APOC3, APOA1, and LPL were again significantly associated with hypertriglyceridemia, three polymorphisms of APOA5 with low HDL-cholesterol, and two polymorphisms of APOE with high LDL-cholesterol. Serum triglyceride, HDL-cholesterol, and LDL-cholesterol concentrations differed significantly among genotypes of these corresponding polymorphisms in both subject panels. These results indicate that polymorphisms of APOA5, APOC3, APOA1, and LPL are determinants of hypertriglyceridemia and that those of APOA5 and APOE are determinants of low HDL-cholesterol and high LDL-cholesterol, respectively, in Japanese individuals.     

Approximate confidence intervals for risk prediction in genetic counseling.

In current genetic counseling practice, a single risk estimate is often quoted to a family rather than a range of risks. Such point estimates are predicated on knowing basic parameters like recombination fractions exactly when, in fact, there may be considerable uncertainty about them. Using the large sample theory of statistics, it is possible to derive approximate risk intervals that incorporate known statistical imprecision. The necessary theory will be briefly discussed and illustrated by an application to family counseling for Duchenne muscular dystrophy in the presence of two flanking markers. Some of the problems of the theory will be mentioned. These include lack of adequate sample size to justify the conclusions of large sample theory, pronounced nonlinearity in the risk function, and failure to take into proper account genetic interference. Except in trivial cases, sophisticated computer software is needed to carry out the computations of risk intervals.     

Strategies for the assessment of genetic coronary artery disease risk.

In atherosclerotic diseases, genetic factors have a substantial influence on the age of onset and the frequency and severity of clinical symptoms, as well as response to therapy. In myocardial infarctions occurring at young age, genetics may be the leading causative factor. Despite such a prominent role of genetics in the pathophysiology of atherosclerosis clinical risk assessment and therapeutic decision making are still based on classical risk factors. In this paper we analyse the reasons for the current lack of predictive power of genetics-based algorithms and we speculate why future developments might open the door to a role for genetics in the clinical management of atherosclerosis.     

Body mass index and depressive symptoms: instrumental‐variables regression with genetic risk score

The causal role of obesity in the development of depression remains uncertain. We applied instrumental‐variables regression (Mendelian randomization) to examine the association of adolescent and adult body mass index (BMI) with adult depressive symptoms. Participants were from the Young Finns prospective cohort study (n = 1731 persons, 2844 person‐observations), with repeated measurements of BMI and depressive symptoms (modified Beck's Depression Inventory). Genetic risk score of 31 single nucleotide polymorphisms previously identified as robust genetic markers of body weight was used as a proxy for variation in BMI. In standard linear regression analysis, higher adult depressive symptoms were predicted by higher adolescent BMI (B = 0.33, CI = 0.06–0.60, P = 0.017) and adult BMI (B = 0.47, CI = 0.32–0.63, P < 0.001). These associations were replicated in instrumental‐variables analysis with genetic risk score as instrument (B = 1.96, CI = 0.03–3.90, P = 0.047 for adolescent BMI; B = 1.08, CI = 0.11–2.04, P = 0.030 for adult BMI). The association for adolescent BMI was significantly stronger in the instrumented analysis compared to standard regression (P = 0.04). These findings provide additional evidence to support a causal role for high BMI in increasing symptoms of depression. However, the present analysis also demonstrates potential limitations of applying Mendelian randomization when using complex phenotypes.     

Inferring the genetic basis of inbreeding depression in plants.

Recent progress in the genetic analysis of inbreeding depression in plants is reviewed. While the debate over the importance of genes of dominance versus overdominance effect continues, the scope of inferences has widened and now includes such facets as the interactions between genes, the relative abundance of major versus minor genes, life cycle stage expression, and mutation rates. The types of inferences are classified into the genomic, where many genes are characterized as an average, and the genic, where individual genes are characterized. Genomic inferences can be based upon natural levels of inbreeding depression, purging experiments, the comparison of individuals of differing F (e.g., prior inbreeding), and various crossing designs. Genic inferences mainly involve mapping and characterizing loci with genetic markers, involving either a single cross or, ideally, several crosses. Alternative statistical models for analyzing polymorphic loci causing inbreeding depression should be a fruitful problem for geneticists to pursue. Key words : inbreeding depression, genetic load, self-fertilization, QTL mapping.     

Identifying genetic risk factors for osteoporosis

Over the past decades epidemiological research of so-called "complex" diseases, i.e., common age-related disorders such as cancer, cardiovascular disease, diabetes, and osteoporosis, has identified anthropometric, behavioural, and serum parameters as risk factors. Recently, genetic polymorphisms have gained considerable interest, propelled by the Human Genome Project and its sequela that have identified most genes and uncovered a plethora of polymorphic variants, some of which embody the genetic risk factors. In all fields of complex disease genetics (including osteoporosis) progress in identifying these genetic factors has been hampered by often controversial results. Because of the small effect size for each individual risk polymorphism, this is mostly due to low statistical power and limitations of analytical methods. Genome-wide scanning approaches can be used to find the responsible genes. It is by now clear that linkage analysis is not suitable for this, but genome-wide association analysis has much better possibilities, as is illustrated by successful identification of risk alleles for several complex diseases. Candidate gene association analysis followed by replication and prospective multi-centred meta-analysis, is currently the best way forward to identify genetic markers for complex traits, such as osteoporosis. To accomplish this, we need large (global) collaborative studies using standardized methodology and definitions, to quantify by meta-analysis the subtle effects of the responsible gene variants.     

Experimental evolution of the genetic load and its implications for the genetic basis of inbreeding depression

The degree to which, and rapidity with which, inbreeding depression can be purged from a population has important implications for conservation biology, captive breeding practices, and invasive species biology. The degree and rate of purging also informs us regarding the genetic mechanisms underlying inbreeding depression. We examine the evolution of mean survival and inbreeding depression in survival following serial inbreeding in a seed-feeding beetle, Stator limbatus, which shows substantial inbreeding depression at all stages of development. We created two replicate serially inbred populations perpetuated by full-sib matings and paired with outbred controls. The genetic load for the probability that an egg produces an adult was purged at approximately 0.45-0.50 lethal equivalents/generation, a reduction of more than half after only three generations of sib-mating. After serial inbreeding we outcrossed all beetles then measured (1) larval survival of outcrossed beetles and (2) inbreeding depression. Survival of outcrossed beetles evolved to be higher in the serially inbred populations for all periods of development. Inbreeding depression and the genetic load were significantly lower in the serially inbred than control populations. Inbreeding depression affecting larval survival of S. limbatus is largely due to recessive deleterious alleles of large effect that can be rapidly purged from a population by serial sib-mating. However, the effectiveness of purging varied among the periods of egg/larval survival and likely varies among other unstudied fitness components. This study presents novel results showing rapid and extensive purging of the genetic load, specifically a reduction of as much as 72% in only three generations of sib-mating. However, the high rate of extinction of inbred lines, despite the lines being reared in a benign laboratory environment, indicates that intentional purging of the genetic load of captive endangered species will not be practical due to high rates of subpopulation extinction.     

Antenatal genetic diagnosis: current status and future prospects.

The current status of antenatal genetic diagnosis is reviewed and the limitations of present techniques are discussed. It is suggested that multidisciplinary clinics are the most efficient means of providing this aspect of health care. Advances in cell culture techniques, in ultrasonography and in fetoscopy will extend the services available, and the impact of this will be felt by the community. Education of the medical profession and the public in this area is necessary so that informed decision-making can take place.