929 resultados para Genomewide association studies
Resumo:
Introduction: Osteoporosis is the commonest metabolic bone disease worldwide. The clinical hallmark of osteoporosis is low trauma fracture, with the most devastating being hip fracture, resulting in significant effects on both morbidity and mortality. Sources of data: Data for this review have been gathered from the published literature and from a range of web resources. Areas of agreement: Genome-wide association studies in the field of osteoporosis have led to the identification of a number of loci associated with both bone mineral density and fracture risk and further increased our understanding of disease. Areas of controversy: The early strategies for mapping osteoporosis disease genes reported only isolated associations, with replication in independent cohorts proving difficult. Neither candidate gene or linkage studies showed association at genome-wide level of significance. Growing points: The advent of massive parallel sequencing technologies has proved extremely successful in mapping monogenic diseases and thus leading to the utilization of this new technology in complex disease genetics. Areas timely for developing research: The identification of novel genes and pathways will potentially lead to the identification of novel therapeutic options for patients with osteoporosis. © 2014 The Author.
Resumo:
Background Epidemiological studies suggest a potential role for obesity and determinants of adult stature in prostate cancer risk and mortality, but the relationships described in the literature are complex. To address uncertainty over the causal nature of previous observational findings, we investigated associations of height- and adiposity-related genetic variants with prostate cancer risk and mortality. Methods We conducted a case–control study based on 20,848 prostate cancers and 20,214 controls of European ancestry from 22 studies in the PRACTICAL consortium. We constructed genetic risk scores that summed each man’s number of height and BMI increasing alleles across multiple single nucleotide polymorphisms robustly associated with each phenotype from published genome-wide association studies. Results The genetic risk scores explained 6.31 and 1.46 % of the variability in height and BMI, respectively. There was only weak evidence that genetic variants previously associated with increased BMI were associated with a lower prostate cancer risk (odds ratio per standard deviation increase in BMI genetic score 0.98; 95 % CI 0.96, 1.00; p = 0.07). Genetic variants associated with increased height were not associated with prostate cancer incidence (OR 0.99; 95 % CI 0.97, 1.01; p = 0.23), but were associated with an increase (OR 1.13; 95 % CI 1.08, 1.20) in prostate cancer mortality among low-grade disease (p heterogeneity, low vs. high grade <0.001). Genetic variants associated with increased BMI were associated with an increase (OR 1.08; 95 % CI 1.03, 1.14) in all-cause mortality among men with low-grade disease (p heterogeneity = 0.03). Conclusions We found little evidence of a substantial effect of genetically elevated height or BMI on prostate cancer risk, suggesting that previously reported observational associations may reflect common environmental determinants of height or BMI and prostate cancer risk. Genetically elevated height and BMI were associated with increased mortality (prostate cancer-specific and all-cause, respectively) in men with low-grade disease, a potentially informative but novel finding that requires replication.
Resumo:
Bipolar disorder (BP) is a complex psychiatric disorder characterized by episodes of mania and depression. BP affects approximately 1% of the world’s population and shows no difference in lifetime prevalence between males and females. BP arises from complex interactions among genetic, developmental and environmental factors, and it is likely that several predisposing genes are involved in BP. The genetic background of BP is still poorly understood, although intensive and long-lasting research has identified several chromosomal regions and genes involved in susceptibility to BP. This thesis work aims to identify the genetic variants that influence bipolar disorder in the Finnish population by candidate gene and genome-wide linkage analyses in families with many BP cases. In addition to diagnosis-based phenotypes, neuropsychological traits that can be seen as potential endophenotypes or intermediate traits for BP were analyzed. In the first part of the thesis, we examined the role of the allelic variants of the TSNAX/DISC1 gene cluster to psychotic and bipolar spectrum disorders and found association of distinct allelic haplotypes with these two groups of disorders. The haplotype at the 5’ end of the Disrupted-in-Schizophrenia-1 gene (DISC1) was over-transmitted to males with psychotic disorder (p = 0.008; for an extended haplotype p = 0.0007 with both genders), whereas haplotypes at the 3’ end of DISC1 associated with bipolar spectrum disorder (p = 0.0002; for an extended haplotype p = 0.0001). The variants of these haplotypes also showed association with different cognitive traits. The haplotypes at the 5’ end associated with perseverations and auditory attention, while the variants at the 3’ end associated with several cognitive traits including verbal fluency and psychomotor processing speed. Second, in our complete set of BP families with 723 individuals we studied six functional candidate genes from three distinct signalling systems: serotonin-related genes (SLC6A4 and TPH2), BDNF -related genes (BDNF, CREB1 and NTRK2) and one gene related to the inflammation and cytokine system (P2RX7). We replicated association of the functional variant Val66Met of BDNF with BP and better performance in retention. The variants at the 5’ end of SLC6A4 also showed some evidence of association among males (p = 0.004), but the widely studied functional variants did not yield any significant results. A protective four-variant haplotype on P2RX7 showed evidence of association with BP and executive functions: semantic and phonemic fluency (p = 0.006 and p = 0.0003, respectively). Third, we analyzed 23 bipolar families originating from the North-Eastern region of Finland. A genome-wide scan was performed using the 6K single nucleotide polymorphism (SNP) array. We identified susceptibility loci at chromosomes 7q31 with a LOD score of 3.20 and at 9p13.1 with a LOD score of 4.02. We followed up both linkage findings in the complete set of 179 Finnish bipolar families. The finding on chromosome 9p13 was supported (maximum LOD score of 3.02), but the susceptibility gene itself remains unclarified. In the fourth part of the thesis, we wanted to test the role of the allelic variants that have associated with bipolar disorder in recent genome-wide association studies (GWAS). We could confirm findings for the DFNB31, SORCS2, SCL39A3, and DGKH genes. The best signal in this study comes from DFNB31, which remained significant after multiple testing corrections. Two variants of SORCS2 were allelic replications and presented the same signal as the haplotype analysis. However, no association was detected with the PALB2 gene, which was the most significantly associated region in the previous GWAS. Our results indicate that BP is heterogeneous and its genetic background may accordingly vary in different populations. In order to fully understand the allelic heterogeneity that underlies common diseases such as BP, complete genome sequencing for many individuals with and without the disease is required. Identification of the specific risk variants will help us better understand the pathophysiology underlying BP and will lead to the development of treatments with specific biochemical targets. In addition, it will further facilitate the identification of environmental factors that alter risk, which will potentially provide improved occupational, social and psychological advice for individuals with high risk of BP.
Resumo:
Multiple sclerosis (MS) is a chronic relapsing-remitting inflammatory disease of the central nervous system characterized by oligodendrocyte damage, demyelination and neuronal death. Genetic association studies have shown a 2-fold or greater prevalence of the HLA-DRB1*1501 allele in the MS population compared with normal Caucasians. In discovery cohorts of Australasian patients with MS (total 2941 patients and 3008 controls), we examined the associations of 12 functional polymorphisms of P2X7, a microglial/macrophage receptor with proinflammatory effects when activated by extracellular adenosine triphosphate (ATP). In discovery cohorts, rs28360457, coding for Arg307Gln was associated with MS and combined analysis showed a 2-fold lower minor allele frequency compared with controls (1.11% for MS and 2.15% for controls, P = 0.0000071). Replication analysis of four independent European MS case–control cohorts (total 2140 cases and 2634 controls) confirmed this association [odds ratio (OR) = 0.69, P = 0.026]. A meta-analysis of all Australasian and European cohorts indicated that Arg307Gln confers a 1.8-fold protective effect on MS risk (OR = 0.57, P = 0.0000024). Fresh human monocytes heterozygous for Arg307Gln have >85% loss of ‘pore’ function of the P2X7 receptor measured by ATP-induced ethidium uptake. Analysis shows Arg307Gln always occurred with 270His suggesting a single 307Gln–270His haplotype that confers dominant negative effects on P2X7 function and protection against MS. Modeling based on the homologous zP2X4 receptor showed Arg307 is located in a region rich in basic residues located only 12 Å from the ligand binding site. Our data show the protective effect against MS of a rare genetic variant of P2RX7 with heterozygotes showing near absent proinflammatory ‘pore’ function.
Resumo:
The brain's functional network exhibits many features facilitating functional specialization, integration, and robustness to attack. Using graph theory to characterize brain networks, studies demonstrate their small-world, modular, and "rich-club" properties, with deviations reported in many common neuropathological conditions. Here we estimate the heritability of five widely used graph theoretical metrics (mean clustering coefficient (γ), modularity (Q), rich-club coefficient (ϕnorm), global efficiency (λ), small-worldness (σ)) over a range of connection densities (k=5-25%) in a large cohort of twins (N=592, 84 MZ and 89 DZ twin pairs, 246 single twins, age 23±2.5). We also considered the effects of global signal regression (GSR). We found that the graph metrics were moderately influenced by genetic factors h2 (γ=47-59%, Q=38-59%, ϕnorm=0-29%, λ=52-64%, σ=51-59%) at lower connection densities (≤15%), and when global signal regression was implemented, heritability estimates decreased substantially h2 (γ=0-26%, Q=0-28%, ϕnorm=0%, λ=23-30%, σ=0-27%). Distinct network features were phenotypically correlated (|r|=0.15-0.81), and γ, Q, and λ were found to be influenced by overlapping genetic factors. Our findings suggest that these metrics may be potential endophenotypes for psychiatric disease and suitable for genetic association studies, but that genetic effects must be interpreted with respect to methodological choices.
Resumo:
Anatomical brain networks change throughout life and with diseases. Genetic analysis of these networks may help identify processes giving rise to heritable brain disorders, but we do not yet know which network measures are promising for genetic analyses. Many factors affect the downstream results, such as the tractography algorithm used to define structural connectivity. We tested nine different tractography algorithms and four normalization methods to compute brain networks for 853 young healthy adults (twins and their siblings). We fitted genetic structural equation models to all nine network measures, after a normalization step to increase network consistency across tractography algorithms. Probabilistic tractography algorithms with global optimization (such as Probtrackx and Hough) yielded higher heritability statistics than 'greedy' algorithms (such as FACT) which process small neighborhoods at each step. Some global network measures (probtrackx-derived GLOB and ST) showed significant genetic effects, making them attractive targets for genome-wide association studies.
Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins
Resumo:
Genetic and environmental factors affect white matter connectivity in the normal brain, and they also influence diseases in which brain connectivity is altered. Little is known about genetic influences on brain connectivity, despite wide variations in the brain's neural pathways. Here we applied the 'DICCCOL' framework to analyze structural connectivity, in 261 twin pairs (522 participants, mean age: 21.8 y ± 2.7SD). We encoded connectivity patterns by projecting the white matter (WM) bundles of all 'DICCCOLs' as a tracemap (TM). Next we fitted an A/C/E structural equation model to estimate additive genetic (A), common environmental (C), and unique environmental/error (E) components of the observed variations in brain connectivity. We found 44 'heritable DICCCOLs' whose connectivity was genetically influenced (α2>1%); half of them showed significant heritability (α2>20%). Our analysis of genetic influences on WM structural connectivity suggests high heritability for some WM projection patterns, yielding new targets for genome-wide association studies.
Resumo:
Both inherited genetic variations and somatically acquired mutations drive cancer development. The aim of this thesis was to gain insight into the molecular mechanisms underlying colorectal cancer (CRC) predisposition and tumor progression. Whereas one-third of CRC may develop in the context of hereditary predisposition, the known highly penetrant syndromes only explain a small fraction of all cases. Genome-wide association studies have shown that ten common single nucleotide polymorphisms (SNPs) modestly predispose to CRC. Our population-based sample series of around thousand CRC cases and healthy controls was genotyped for these SNPs. Tumors of heterozygous patients were analyzed for allelic imbalance, in an attempt to reveal the role of these SNPs in somatic tumor progression. The risk allele of rs6983267 at 8q24 was favored in the tumors significantly more often than the neutral allele, indicating that this germline variant is somatically selected for. No imbalance targeting the risk allele was observed in the remaining loci, suggesting that most of the low-penetrance CRC SNPs mainly play a role in the early stages of the neoplastic process. The ten SNPs were further analyzed in 788 CRC cases, 97 of which had a family history of CRC, to evaluate their combined contribution. A significant association appeared between the overall number of risk alleles and familial CRC and these ten SNPs seem to explain around 9% of the familial clustering of CRC. Finding more CRC susceptibility alleles may facilitate individualized risk prediction and cancer prevention in the future. Microsatellite instability (MSI), resulting from defective mismatch repair function, is a hallmark of Lynch syndrome and observed in a subset of all CRCs. Our aim was to identify microsatellite frameshift mutations that inactivate tumor suppressor genes in MSI CRCs. By sequencing microsatellite repeats of underexpressed genes we found six novel MSI target genes that were frequently mutated in 100 MSI CRCs: 51% in GLYR1, 47% in ABCC5, 43% in WDTC1, 33% in ROCK1, 30% in OR51E2, and 28% in TCEB3. Immunohistochemical staining of GLYR1 revealed defective protein expression in homozygously mutated tumors, providing further support for the loss of function hypothesis. Another mutation screening effort sought to identify MSI target genes with putative oncogenic functions. Microsatellites were similarly sequenced in genes that were overexpressed and, upon mutation, predicted to avoid nonsense-mediated mRNA decay. The mitotic checkpoint kinase TTK harbored protein-elongating mutations in 59% of MSI CRCs and the mutant protein was detected in heterozygous MSI CRC cells. No checkpoint dysregulation or defective protein localization was observable however, and the biological relevance of this mutation may hence be related to other mechanisms. In conclusion, these two large-scale and unbiased efforts identified frequently mutated genes that are likely to contribute to the development of this cancer type and may be utilized in developing diagnostic and therapeutic applications.
Resumo:
Background: The number of genome-wide association studies (GWAS) has increased rapidly in the past couple of years, resulting in the identification of genes associated with different diseases. The next step in translating these findings into biomedically useful information is to find out the mechanism of the action of these genes. However, GWAS studies often implicate genes whose functions are currently unknown; for example, MYEOV, ANKLE1, TMEM45B and ORAOV1 are found to be associated with breast cancer, but their molecular function is unknown. Results: We carried out Bayesian inference of Gene Ontology (GO) term annotations of genes by employing the directed acyclic graph structure of GO and the network of protein-protein interactions (PPIs). The approach is designed based on the fact that two proteins that interact biophysically would be in physical proximity of each other, would possess complementary molecular function, and play role in related biological processes. Predicted GO terms were ranked according to their relative association scores and the approach was evaluated quantitatively by plotting the precision versus recall values and F-scores (the harmonic mean of precision and recall) versus varying thresholds. Precisions of similar to 58% and similar to 40% for localization and functions respectively of proteins were determined at a threshold of similar to 30 (top 30 GO terms in the ranked list). Comparison with function prediction based on semantic similarity among nodes in an ontology and incorporation of those similarities in a k nearest neighbor classifier confirmed that our results compared favorably. Conclusions: This approach was applied to predict the cellular component and molecular function GO terms of all human proteins that have interacting partners possessing at least one known GO annotation. The list of predictions is available at http://severus.dbmi.pitt.edu/engo/GOPRED.html. We present the algorithm, evaluations and the results of the computational predictions, especially for genes identified in GWAS studies to be associated with diseases, which are of translational interest.
Resumo:
O modelo demanda e controle de Karasek, elaborado na década de 1970, postula que os trabalhadores expostos a situações de alta exigência no trabalho, decorrente da combinação entre altas demandas psicológicas e baixo controle sobre o processo de trabalho, tem maior risco de apresentar eventos em saúde relacionados ao estresse, em particular doenças cardiovasculares. Os objetivos desta tese incluíram: avaliar propriedades psicométricas do instrumento Demand-Control-Support Questionnaire (DCSQ) e conduzir uma meta-análise dos estudos publicados sobre a associação entre alta exigência no trabalho e hipertensão arterial. Três artigos foram elaborados. O primeiro artigo avaliou a validade dimensional e consistência interna da versão brasileira do instrumento DCSQ, quando aplicado a trabalhadores de um hospital e nove restaurantes no Rio de Janeiro. O segundo artigo comparou as propriedades psicométricas do DCSQ no contexto dos trabalhadores de hospital no Brasil e na Suécia. O terceiro artigo apresentou uma meta-análise dos estudos de associação entre alta exigência no trabalho e hipertensão arterial. Os resultados evidenciaram que o instrumento DCSQ tem estrutura tridimensional e equivalente nas versões brasileira e sueca (original), representada por demandas psicológicas, uso de habilidades e autonomia para a decisão. O modelo de melhor ajuste excluiu a dimensão apoio social no trabalho e o item trabalho repetitivo (uso de habilidades). A meta-análise revelou que os estudos foram heterogêneos, a população-alvo foi restrita a países da Europa, EUA e Japão, sem evidência de associação entre alta exigência no trabalho, demanda e controle, e hipertensão arterial.
Resumo:
As doenças cardiovasculares possuem a maior taxa de óbitos no mundo, e notavelmente nos últimos anos as pesquisas genéticas sobre as mesmas estão baseadas em estudos de associação, no qual o gene suspeito que esteja em maior frequência entre os pacientes passa a ser considerado um possível fator causal. Os polimorfismos genéticos que ocorrem no receptor beta-adrenérgico podem resultar em mudanças significativas na função do receptor, podendo acarretar fisiopatologias. Neste trabalho, o objetivo foi estimar a diversidade e a frequência do polimorfismo Ser49Gly do gene do receptor beta-adrenérgico 1 a partir de uma amostra de 188 indivíduos da população do Estado do Rio de Janeiro. As frequências também foram analisadas a partir da estratificação da amostra por critério fenotípico em função do padrão de cor da pele em (negros e não negros) ou ancestralidade genética em (afrodescendente e não afrodescendente), definida através da informação dos marcadores de ancestralidade Indels e SNP de cromossomo Y, para avaliar se os padrões de ancestralidade ou cor da pele são fundamentais para a diferenciação e distanciamento genético. Fragmentos de interesse foram amplificados por PCR (reação de cadeia de polimerase) com primers específicos para o marcador Ser49Gly e as reações de genotipagem foram realizadas com enzimas de restrição Eco0109I. Os valores da heterozigosidade variaram entre 0,25-0,50 e 0,20-0,41 nos grupos estratificados por ancestralidade e cor da pele, respectivamente. No que diz respeito à análise do equilíbrio de Hardy-Weinberg, não houve um desvio significativo na distribuição do marcador nas amostras gerais do Estado do Rio de Janeiro, ou mesmo nas amostras estratificadas. A distribuição dos alelos na amostra dos 188 indivíduos da população geral do Rio de Janeiro (AC_RJ) mostrou uma frequência de 80,30% e 19,70% para o alelo selvagem e mutado Ser49Gly, respectivamente. A comparação das análises sobre a distribuição das frequências alélicas para este marcador mostrou a ocorrência de diferenças significativas na distribuição das frequências alélicas entre negros e não negros e afrodescendentes e não afrodescendentes. A diferença significativa observada entre os negros e afrodescendentes, foi em menor grau de distanciamento. A informação obtida em relação à ancestralidade foi crucial para a obtenção dos dados sobre o aumento da variável mutada do polimorfismo Ser49Gly nas populações negras e afrodescendentes do Estado Rio de Janeiro. Tal evidência, em combinação com estudos clínicos podem contribuir para uma análise pormenorizada do padrão de susceptibilidade à doença em questão, em falhas do mecanismo deste receptor.
Resumo:
Genome wide association studies (GWAS) have identified several low-penetrance susceptibility alleles in chronic lymphocytic leukemia (CLL). Nevertheless, these studies scarcely study regions that are implicated in non-coding molecules such as microRNAs (miRNAs). Abnormalities in miRNAs, as altered expression patterns and mutations, have been described in CLL, suggesting their implication in the development of the disease. Genetic variations in miRNAs can affect levels of miRNA expression if present in pre-miRNAs and in miRNA biogenesis genes or alter miRNA function if present in both target mRNA and miRNA sequences. Therefore, the present study aimed to evaluate whether polymorphisms in pre-miRNAs, and/or miRNA processing genes contribute to predisposition for CLL. A total of 91 SNPs in 107 CLL patients and 350 cancer-free controls were successfully analyzed using TaqMan Open Array technology. We found nine statistically significant associations with CLL risk after FDR correction, seven in miRNA processing genes (rs3805500 and rs6877842 in DROSHA, rs1057035 in DICER1, rs17676986 in SND1, rs9611280 in TNRC6B, rs784567 in TRBP and rs11866002 in CNOT1) and two in pre-miRNAs (rs11614913 in miR196a2 and rs2114358 in miR1206). These findings suggest that polymorphisms in genes involved in miRNAs biogenesis pathway as well as in pre-miRNAs contribute to the risk of CLL. Large-scale studies are needed to validate the current findings.
Resumo:
Esta dissertação buscou uma apreciação crítica e pragmática da relação entre desigualdade socioeconômica e obesidade abdominal, em resposta a proposição internacional de monitoramento das desigualdades em saúde e a escassez de estudos desta natureza relativos à obesidade abdominal. Dois artigos foram elaborados a fim de estimar o grau de desigualdade educacional na ocorrência de obesidade abdominal e revisar os estudos de associação entre posição socioeconômica e obesidade abdominal. O primeiro artigo utilizou o índice angular de desigualdade e o índice relativo de desigualdade em dados seccionais de 3.117 participantes da linha de base do Estudo Pró-Saúde, 1999-2001, e o segundo artigo abarcou os resultados de estudos conduzidos em população adulta no Brasil. Os índices de desigualdade resumiram a tendência monotônica e inversa observada entre escolaridade e obesidade abdominal na população feminina, proporcionando estimativas quantitativas desta desigualdade (artigo 1). Em concordância, observou-se que a associação entre indicadores de posição socioeconômica e obesidade abdominal foi majoritariamente inversa entre as mulheres, principalmente com relação à escolaridade, e estatisticamente não significativa entre os homens (artigo 2). Tal cenário epidemiológico evidencia que a obesidade abdominal tem afetado desproporcionalmente as mulheres de posição socioeconômica mais baixa e que a desigualdade de gênero na prevalência de obesidade abdominal tende a aumentar com menor posição socioeconômica. Em suma, a presente dissertação visou à produção de conhecimento epidemiológico relevante ao enfrentamento das desigualdades em saúde, com o objetivo premente de subsidiar políticas públicas de fato realizáveis e individualmente aceitáveis.
Resumo:
Esta dissertação buscou uma apreciação crítica e pragmática da relação entre desigualdade socioeconômica e obesidade abdominal, em resposta a proposição internacional de monitoramento das desigualdades em saúde e a escassez de estudos desta natureza relativos à obesidade abdominal. Dois artigos foram elaborados a fim de estimar o grau de desigualdade educacional na ocorrência de obesidade abdominal e revisar os estudos de associação entre posição socioeconômica e obesidade abdominal. O primeiro artigo utilizou o índice angular de desigualdade e o índice relativo de desigualdade em dados seccionais de 3.117 participantes da linha de base do Estudo Pró-Saúde, 1999-2001, e o segundo artigo abarcou os resultados de estudos conduzidos em população adulta no Brasil. Os índices de desigualdade resumiram a tendência monotônica e inversa observada entre escolaridade e obesidade abdominal na população feminina, proporcionando estimativas quantitativas desta desigualdade (artigo 1). Em concordância, observou-se que a associação entre indicadores de posição socioeconômica e obesidade abdominal foi majoritariamente inversa entre as mulheres, principalmente com relação à escolaridade, e estatisticamente não significativa entre os homens (artigo 2). Tal cenário epidemiológico evidencia que a obesidade abdominal tem afetado desproporcionalmente as mulheres de posição socioeconômica mais baixa e que a desigualdade de gênero na prevalência de obesidade abdominal tende a aumentar com menor posição socioeconômica. Em suma, a presente dissertação visou à produção de conhecimento epidemiológico relevante ao enfrentamento das desigualdades em saúde, com o objetivo premente de subsidiar políticas públicas de fato realizáveis e individualmente aceitáveis.
Resumo:
Knowledge about the world phylogeny of human mitochondrial DNA (mtDNA) is essential not only for evaluating the pathogenic role of specific mtDNA mutations but also for performing reliable association studies between mtDNA haplogroups and complex disorder