Multiple socioeconomic circumstances and health : associations and explanations among Finnish and British public sector employees

Socioeconomic health inequalities have been widely documented, with a lower social position being associated with poorer physical and general health and higher mortality. For mental health the results have been more varied. However, the mechanisms by which the various dimensions of socioeconomic circumstances are associated with different domains of health are not yet fully understood. This is related to a lack of studies tackling the interrelations and pathways between multiple dimensions of socioeconomic circumstances and domains of health. In particular, evidence from comparative studies of populations from different national contexts that consider the complexity of the causes of socioeconomic health inequalities is needed. The aim of this study was to examine the associations of multiple socioeconomic circumstances with physical and mental health, more specifically physical functioning and common mental disorders. This was done in a comparative setting of two cohorts of white-collar public sector employees, one from Finland and one from Britain. The study also sought to find explanations for the observed associations between economic difficulties and health by analysing the contribution of health behaviours, living arrangements and work-family conflicts. The survey data were derived from the Finnish Helsinki Health Study baseline surveys in 2000-2002 among the City of Helsinki employees aged 40-60 years, and from the fifth phase of the London-based Whitehall II study (1997-9) which is a prospective study of civil servants aged 35-55 years at the time of recruitment. The data collection in the two countries was harmonised to safeguard maximal comparability. Physical functioning was measured with the Short Form (SF-36) physical component summary and common mental disorders with the General Health Questionnaire (GHQ-12). Socioeconomic circumstances were parental education, childhood economic difficulties, own education, occupational class, household income, housing tenure, and current economic difficulties. Further explanatory factors were health behaviours, living arrangements and work-family conflicts. The main statistical method used was logistic regression analysis. Analyses were conducted separately for the two sexes and two cohorts. Childhood and current economic difficulties were associated with poorer physical functioning and common mental disorders generally in both cohorts and sexes. Conventional dimensions of socioeconomic circumstances i.e. education, occupational class and income were associated with physical functioning and mediated each other’s effects, but in different ways in the two cohorts: education was more important in Helsinki and occupational class in London. The associations of economic difficulties with health were partly explained by work-family conflicts and other socioeconomic circumstances in both cohorts and sexes. In conclusion, this study on two country-specific cohorts confirms that different dimensions of socioeconomic circumstances are related but not interchangeable. They are also somewhat differently associated with physical and mental domains of health. In addition to conventionally measured dimensions of past and present socioeconomic circumstances, economic difficulties should be taken into account in studies and attempts to reduce health inequalities. Further explanatory factors, particularly conflicts between work and family, should also be considered when aiming to reduce inequalities and maintain the health of employees.

Transmission of Correlated Sources Over a Fading Multiple Access Channel

In this paper we address the problem of transmission of correlated sources over a fading multiple access channel (MAC). We provide sufficient conditions for transmission with given distortions. Next these conditions are specialized to a Gaussian MAC (GMAC). Transmission schemes for discrete and Gaussian sources over a fading GMAC are considered. Various power allocation strategies are also compared.

Genomic inflation factors under polygenic inheritance

Population structure, including population stratification and cryptic relatedness, can cause spurious associations in genome-wide association studies (GWAS). Usually, the scaled median or mean test statistic for association calculated from multiple single-nucleotide-polymorphisms across the genome is used to assess such effects, and 'genomic control' can be applied subsequently to adjust test statistics at individual loci by a genomic inflation factor. Published GWAS have clearly shown that there are many loci underlying genetic variation for a wide range of complex diseases and traits, implying that a substantial proportion of the genome should show inflation of the test statistic. Here, we show by theory, simulation and analysis of data that in the absence of population structure and other technical artefacts, but in the presence of polygenic inheritance, substantial genomic inflation is expected. Its magnitude depends on sample size, heritability, linkage disequilibrium structure and the number of causal variants. Our predictions are consistent with empirical observations on height in independent samples of ~4000 and ~133,000 individuals.

Association mapping

Association mapping seeks to identify marker alleles present at significantly different frequencies in cases carrying a particular disease or trait compared with controls. Genome-wide association studies are increasingly replacing candidate gene-based association studies for complex diseases, where a number of loci are likely to contribute to disease risk and the effect size of each particular risk allele is typically modest or low. Good study design is essential to the success of an association study, and factors such as the heritability of the disease under investigation, the choice of controls, statistical power, multiple testing and whether the association can be replicated need to be considered before beginning. Likewise, thorough quality control of the genotype data needs to be undertaken prior to running any association analyses. Finally, it should be kept in mind that a significant genetic association is not proof positive that a particular genetic locus causes a disease, but rather an important first step in discovering the genetic variants underlying a complex disease.

The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data

The relationship between major depressive disorder (MDD) and bipolar disorder (BD) remains controversial. Previous research has reported differences and similarities in risk factors for MDD and BD, such as predisposing personality traits. For example, high neuroticism is related to both disorders, whereas openness to experience is specific for BD. This study examined the genetic association between personality and MDD and BD by applying polygenic scores for neuroticism, extraversion, openness to experience, agreeableness and conscientiousness to both disorders. Polygenic scores reflect the weighted sum of multiple single-nucleotide polymorphism alleles associated with the trait for an individual and were based on a meta-analysis of genome-wide association studies for personality traits including 13,835 subjects. Polygenic scores were tested for MDD in the combined Genetic Association Information Network (GAIN-MDD) and MDD2000+ samples (N=8921) and for BD in the combined Systematic Treatment Enhancement Program for Bipolar Disorder and Wellcome Trust Case-Control Consortium samples (N=6329) using logistic regression analyses. At the phenotypic level, personality dimensions were associated with MDD and BD. Polygenic neuroticism scores were significantly positively associated with MDD, whereas polygenic extraversion scores were significantly positively associated with BD. The explained variance of MDD and BD, approximately 0.1%, was highly comparable to the variance explained by the polygenic personality scores in the corresponding personality traits themselves (between 0.1 and 0.4%). This indicates that the proportions of variance explained in mood disorders are at the upper limit of what could have been expected. This study suggests shared genetic risk factors for neuroticism and MDD on the one hand and for extraversion and BD on the other.

A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications

BACKGROUND Given moderately strong genetic contributions to variation in alcoholism and heaviness of drinking (50% to 60% heritability) with high correlation of genetic influences, we have conducted a quantitative trait genome-wide association study (GWAS) for phenotypes related to alcohol use and dependence. METHODS Diagnostic interview and blood/buccal samples were obtained from sibships ascertained through the Australian Twin Registry. Genome-wide single nucleotide polymorphism (SNP) genotyping was performed with 8754 individuals (2062 alcohol-dependent cases) selected for informativeness for alcohol use disorder and associated quantitative traits. Family-based association tests were performed for alcohol dependence, dependence factor score, and heaviness of drinking factor score, with confirmatory case-population control comparisons using an unassessed population control series of 3393 Australians with genome-wide SNP data. RESULTS No findings reached genome-wide significance (p = 8.4 x 10(-8) for this study), with lowest p value for primary phenotypes of 1.2 x 10(-7). Convergent findings for quantitative consumption and diagnostic and quantitative dependence measures suggest possible roles for a transmembrane protein gene (TMEM108) and for ANKS1A. The major finding, however, was small effect sizes estimated for individual SNPs, suggesting that hundreds of genetic variants make modest contributions (1/4% of variance or less) to alcohol dependence risk. CONCLUSIONS We conclude that: - 1) meta-analyses of consumption data may contribute usefully to gene discovery; - 2) translation of human alcoholism GWAS results to drug discovery or clinically useful prediction of risk will be challenging, and; - 3) through accumulation across studies, GWAS data may become valuable for improved genetic risk differentiation in research in biological psychiatry (e.g., prospective high-risk or resilience studies).

Human herpesvirus 6 in multiple sclerosis and encephalitis

Human herpesvirus 6 (HHV-6) was identified from patients with HIV and lymphoproliferative diseases in 1986. It is a β-herpesvirus and is divided into two subgroups, variants A and B. HHV-6 variant B is the cause of exanthema subitum, while variant A has not yet definitely proven to cause any disease. HHV-6, especially variant A, is a highly neurotropic virus and has been associated with many diseases of the central nervous system (CNS) such as encephalitis and multiple sclerosis (MS). The present studies were aimed to elucidate the role of HHV-6 and its two variants in neurological infections. Special attention was given to study the possible role of HHV-6 in the pathogenesis of MS. We studied the expression of HHV-6 antigens using immunohistochemistry in brain autopsy samples from patients with MS and controls. HHV-6 antigen was identified in 70% of MS specimens whereas 30% of control specimens expressed HHV-6 antigen. Serum and cerebrospinal fluid (CSF) samples were collected from patients with MS and patients with other neurological diseases (OND) from patients visiting Helsinki University Central Hospital Neurological Outpatient Clinic during the years 2003 and 2004. In addition, we studied 53 children with suspected encephalitis. We developed an immunofluorescence IgG-avidity assay for the detection of primary HHV-6A and HHV-6B infection. For HHV-6B antibodies, no differences were observed between patients with MS and OND. For HHV-6A both seroprevalence and mean titers were significantly higher in MS compared to OND. HHV-6A low-avidity IgG antibodies, suggestive of primary infection, were found in serum of two, three and one patient with definite MS, possible MS and OND, respectively. From pediatric patients with suspected encephalitis, six serum samples (11.3%) contained low-avidity antibodies, indicating a temporal association between HHV-6A infection and onset of encephalitis. Three out of 26 patients with CDMS and four out of 19 patients with CPMS had HHV-6 antibodies in their CSF compared to none of the patients with OND (p=0.06 and p=0.01, respectively). Two patients with CDMS and three patients with CPMS appeared to have specific intrathecal synthesis of HHV-6A antibodies. In addition, oligoclonal bands (OCB) were observed in the CSF of five out of nine MS patients tested, and in two the OCBs reacted specifically with HHV-6 antigen, which is a novel finding. These results indicate HHV-6 specific antibody production in the CNS and suggest that there is a subset of MS patients with an active or chronic HHV-6A infection in the CNS that might be involved in the pathogenesis of MS. Our studies suggest that HHV-6 is an important causative or associated virus in some neurological infections, such as encephalitis and it might contribute to the development of MS, at least in some cases. In conclusion, HHV-6 is a neurotropic virus that should be taken into consideration when studying acute and chronic CNS diseases of unknown origin.

The DISC1 Pathway in the Genetic Etiology of Schizophrenia

Schizophrenia is a severe psychotic disorder affecting 0.5-1 % of the population. The disorder is characterized by hallucinations; delusions; disorganized behavior and speech; avolition; anhedonia; flattened affect and cognitive deficits. The etiology of the disorder is complex with evidence for multiple genes contributing to the onset of the disorder along with environmental factors. DISC1 is one of the most promising candidate genes for schizophrenia. It codes for a protein which takes part in numerous molecular interactions along several pathways. This network, termed as the DISC1 pathway, is evidently important for the development and maturation of the central nervous system from the embryo until young adulthood. Disruption at these pathways is thought to predispose schizophrenia. In the present study, we have studied the DISC1 pathway in the etiology of schizophrenia in the Finnish population. We have utilized large Finnish samples; the schizophrenia family sample where DISC1 was originally shown to associate with schizophrenia and the Northern Finland birth cohort 1966 (NFBC66). Several DISC1 binding partners displayed evidence for association in the family sample along with DISC1. Through a genome-wide linkage study, we found a significant linkage signal to a locus where a DISC1 binding partner NDE1 is located at the carriers of a certain DISC1 risk variant. In a follow-up study, genetic markers in NDE1 displayed significant evidence for association with schizophrenia. Further exploration of association between 11 genes of the DISC1 pathway and schizophrenia led to recognition of novel variants in NDEL1, PDE4B and PDE4D that significantly either increased or decreased the risk for schizophrenia. Further, we found evidence that DISC1 itself has a significant role in the human mental functioning even in the healthy population. Variants in DISC1 had a significant effect on anhedonia which is a trait present at everybody but is in its severe form one of the main symptoms of schizophrenia and correlates with the risk of developing the disorder. Further, utilizing genome-wide marker data, we recognized three genes; MIR620; CCDC141 and LCT; that are closely related to the DISC1 pathway but which effects on anhedonia were observable only at the individuals who carried these specific DISC1 variants. Our findings significantly add up to the previous evidence for the involvement of DISC1 and the DISC1 pathway in the etiology of schizophrenia and psychosis. Our results support the concept of a number of DISC1 pathway related genes contributing in the etiology of schizophrenia along with DISC1 and provide new candidates for the studies of schizophrenia. Our findings also significantly increase the importance of DISC1 itself as having a role in psychological functioning in the general population.

Novel Multiple Sclerosis Predisposing Genetic Variants Outside the HLA Region

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS). Both environmental factors and several predisposing genes are required to generate MS. Despite intensive research these risk factors are still largely unknown, the pathogenesis of MS demyelination is poorly understood, and no curative treatment exists. Both prevalence and familial occurrence of MS are exceptionally high in a Finnish population subisolate, Southern Ostrobothnia, presumably due to enrichment of predisposing genetic variants within this region. Previous linkage scan on MS pedigrees from Southern Ostrobothnia detected three main MS loci on chromosomes 5p, 6p (HLA) and 17q. Linkage studies in other populations have also provided independent evidence for the location of MS susceptibility genes in these regions. Further, these loci are syntenic to the experimental autoimmune encephalomyelitis (EAE) susceptibility loci of rodents. In this thesis work an effort was made to localize MS predisposing alleles of the linked loci outside the HLA region by studying familial MS cases from the Southern Ostrobothnia isolate. Analysis of the 5p locus revealed one region, flanking the complement component 7 (C7) gene. The identified relatively rare haplotype seems to have a fairly large effect on genetic susceptibility of MS (frequency MS 12%, controls 4%; p=0.000003, OR=2.73). Evidence for association with alleles of the region and MS was seen also in more heterogeneous populations. Convincingly, plasma C7 protein levels and complement activity correlated with the risk haplotype identified. The finding stimulated us to study other complement cascade genes in MS. No evidence for association could be observed with the complement component coding genes outside 5p. A scan of the 17q locus provided evidence for association with variants of the protein kinase C alpha (PRKCA) gene (p=0.0001). Modest evidence for association with PRKCA was observed also in Canadian MS families. Finally we used a candidate gene based approach to identify potential MS loci. Mutations of DAP12 and TREM2 cause a recessively inherited CNS white matter disease PLOSL. Interestingly, DAP12 and TREM2 are located in MS regions on 6p and 19q, and we tested them as potential candidate genes in the Finnish MS sample. No evidence for association with MS was observed. This thesis provides an example of how extended families from special populations can be utilized in fine-mapping of the linked loci. A first relatively rare MS variant was identified utilizing the strength of a Finnish population subisolate. This variant seems to have an effect on activity of the complement system, which has previously been suggested to have an important role in the pathogenesis of MS.

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Common genetic influences underlie comorbidity of migraine and endometriosis

We examined the co-occurrence of migraine and endometriosis within the largest known collection of families containing multiple women with surgically confirmed endometriosis and in an independent sample of 815 monozygotic and 457 dizygotic female twin pairs. Within the endometriosis families, a significantly increased risk of migrainous headache was observed in women with endometriosis compared to women without endometriosis (odds ratio [OR] 1.57, 95% confidence interval [CI]: 1.12-2.21, P=0.009). Bivariate heritability analyses indicated no evidence for common environmental factors influencing either migraine or endometriosis but significant genetic components for both traits, with heritability estimates of 69 and 49%, respectively. Importantly, a significant additive genetic correlation (r(G) = 0.27, 95% CI: 0.06-0.47) and bivariate heritability (h(2)=0.17, 95% CI: 0.08-0.27) was observed between migraine and endometriosis. Controlling for the personality trait neuroticism made little impact on this association. These results confirm the previously reported comorbidity between migraine and endometriosis and indicate common genetic influences completely explain their co-occurrence within individuals. Given pharmacological treatments for endometriosis typically target hormonal pathways and a number of findings provide support for a relationship between hormonal variations and migraine, hormone-related genes and pathways are highly plausible candidates for both migraine and endometriosis. Therefore, taking into account the status of both migraine and endometriosis may provide a novel opportunity to identify the genes underlying them. Finally, we propose that the analysis of such genetically correlated comorbid traits can increase power to detect genetic risk loci through the use of more specific, homogenous and heritable phenotypes.

Analyzing multiple spike trains with nonparametric granger causality

Simultaneous recordings of spike trains from multiple single neurons are becoming commonplace. Understanding the interaction patterns among these spike trains remains a key research area. A question of interest is the evaluation of information flow between neurons through the analysis of whether one spike train exerts causal influence on another. For continuous-valued time series data, Granger causality has proven an effective method for this purpose. However, the basis for Granger causality estimation is autoregressive data modeling, which is not directly applicable to spike trains. Various filtering options distort the properties of spike trains as point processes. Here we propose a new nonparametric approach to estimate Granger causality directly from the Fourier transforms of spike train data. We validate the method on synthetic spike trains generated by model networks of neurons with known connectivity patterns and then apply it to neurons limultaneously recorded from the thalamus and the primary somatosensory cortex of a squirrel monkey undergoing tactile stimulation.

Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 × 10−9 to P = 1.8 × 10−40) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10−3 to P = 1.2 × 10−13). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

A Simple Multiple pulsewidth Modulated AC Multiple Chopper

A simple multiple pulsewidth modulated (MPWM) ac chopper using power transistors for 3-¿ power control is discussed. 120° chopping period is used for main transistors so that the circuit can accommodate resistive and lagging or leading power factor loads. Only 1-¿ sensing is used for 3-¿ control. An alternate economical power and control schemes for 3-¿ MPWM ac choppers suitable only for resistive loads is also suggested. The experimental results for 12 choppings per cycle are given.

Multiple host use by a sap-sucking membracid: population consequences of nymphal development on primary and secondary host plant species

Aconophora compressa is a gregarious, sap-sucking insect that uses multiple host plant species. Nymphal host plant species (and variety) significantly affected nymphal survival, nymphal development rate and the subsequent size and fecundity of adults, with fiddlewood ( Citharexylum spinosum ) being significantly best in all respects. Nymphs that developed on a relatively poor host ( Duranta erecta var “geisha girl”) and which were moved to fiddlewood as adults laid significantly fewer eggs (mean ± SE = 836 ± 130) than those that developed solely on fiddlewood (1,329 ± 105). Adults on geisha girl, regardless of having been reared as nymphs on fiddlewood or geisha girl, laid significantly fewer eggs (342 ± 83 and 317 ± 74, respectively) than adults on fiddlewood. A simple model that incorporates host plant related survival, development rate and fecundity suggests that the population dynamics of A. compressa are governed mainly by fiddlewood, the primary host. The results have general implications for understanding the population dynamics of herbivores that use multiple host plant species, and also for the way in which weed biological control host testing methods should be conducted.