Associação entre variantes do gene da adiponectina (ADIPOQ): -11391 G/A, -11377 C/G, 45T>G e I164T e os níveis circulantes de adiponectina de alto peso molecular e fatores de risco cardiometabólico

A adiponectina, um hormônio produzido pelo tecido adiposo, atua na regulação do metabolismo energético e interfere favoravelmente na sensibilidade à insulina através de suas ações no fígado e musculatura esquelética. Ao contrário da maioria das outras adipocitocinas, associa-se inversamente com a obesidade visceral, resistência à insulina, diabetes tipo 2 e doença cardiovascular. Inúmeros estudos demonstraram nos últimos anos os efeitos de variantes genéticas no gene ADIPOQ sobre os níveis circulantes de adiponectina, resistência à insulina, diabetes e obesidade. Entretanto, além de resultados contraditórios, a maior parte desses estudos foi realizada em populações Caucasianas e Asiáticas. Avaliar, em uma população multiétnica adulta do município do Rio de Janeiro, as possíveis associações das variantes genéticas (-11391 G>A, -11377C>G, +45T>G e T517G) no gene ADIPOQ com o fenótipo obeso, níveis circulantes de adiponectina de alto peso molecular e fatores de risco cardiometabólico. Trata-se de um estudo transversal. Foram estudados 100 indivíduos eutróficos (IMC 18,5 24,9 kg/m2, idade: 32,5 + 9,8 anos) e 100 obesos (IMC 30 58,2 kg/m2, idade 37,5 + 14,1 anos), igualmente divididos entre homens e mulheres. Os indivíduos obesos apresentaram valores significativamente maiores de circunferência abdominal, pressão arterial sistólica, diastólica e média, glicemia de jejum, triglicerídeos, LDL-colesterol, leptina, insulina, HOMA-IR e proteína C reativa, quando comparados aos eutróficos. Contrariamente, exibiram menores valores de adiponectina e HDL-colesterol. Análises de correlação mostraram relação inversa e significativa entre a adiponectina, circunferência abdominal, insulina, HOMA-IR e pressão arterial. Com os níveis de HDL-colesterol, a correlação foi positiva. Por meio de análise de regressão múltipla foi possível identificar os determinantes dos níveis séricos de adiponecinta. Sexo masculino, circunferência abdominal, HOMA-IR e a variante genética -11391G>A, foram os principais responsáveis por essa variação, com um R2 de 30%. Quanto à análise genética, não encontramos nenhuma associação entre essas variantes e o fenótipo obeso. Entretanto, os indivíduos carreadores do alelo mutante -11391A apresentaram menores valores de glicemia, pressão arterial e relação cintura-quadril e maiores concentrações sanguíneas de adiponectina, quando comparados aos indivíduos ditos selvagens. Ademais, os carreadores do alelo mutante -11377G apresentaram menores valores de pressão arterial sistólica, diastólica e média. Os resultados do presente estudo demonstram que níveis de adiponectina diferem entre eutróficos e obesos e que concentrações mais baixas dessa adipocitocina estão associadas a um pior perfil cardiometabólico. Variantes no gene ADIPOQ podem interferir nessa relação e alguns polimorfismos parecem ter um perfil protetor no risco cardiovascular.

Polimorfismos do gene da tiopurina metiltransferase (TPMT) em pacientes com doenças inflamatórias intestinais: avaliação da prevalência e correlação com efeitos colaterais

A azatioprina e a 6 mercaptopurina (6-MCP) são drogas muito utilizada no tratamento das doenças inflamatórias intestinais (DII), porém estão associadas a vários efeitos colaterais. A determinação prévia do genótipo da tiopurina metiltransferase (TPMT) pode identificar pacientes de maior risco de toxicidade a droga. Os objetivos deste estudo foram avaliar a prevalência dos polimorfismos do gene da TPMT em pacientes com DII acompanhados no Hospital Universitário Pedro Ernesto (HUPE) da UERJ, comparando com a prevalência em outras populações e correlacionar a presença desses polimorfismos com a toxicidade às drogas. Foram avaliados 146 pacientes com doença de Crohn (DC) e 73 com retocolite ulcerativa idiopática (RCUI). A pesquisa dos principais genótipos da TPMT (*2, *3, *3C) foi realizada por técnicas de PCR (alelo específico e RFLP). Os achados clínicos foram correlacionados com a genotipagem e avaliados por análises multivariadas. Dentre os pacientes que estavam em uso de azatioprina, 14 apresentaram pancreatite ou elevação de enzimas pancreáticas, 6 apresentaram hepatoxicidade e 2 evoluíram com neutropenia. Os polimorfismos do gene da TPMT foram observados em 37 dos 219 pacientes (8 foram heterozigotos para o genótipo *2, 11 heterozigotos para *3A e 18 foram heterozigotos para o polimorfismo *3C). Não foi observado nenhum homozigoto polimórfico. Uma correlação positiva foi observada entre a elevação de enzimas pancreáticas e os genótipos *2 e *3C. A prevalência dos polimorfismos neste estudo (16,89%) foi maior que a descrita para população caucasiana e em outros estudos brasileiros. Apesar do predomínio do genótipo *3C, não houve ocorrência exclusiva de um polimorfismo, conforme observado em outras populações. A população brasileira devido à sua miscigenação têm características genotípicas próprias diferentes do outros países do mundo. Dois polimorfismos da TPMT (*2 e *3C) estiveram associados à toxicidade ao uso da azatioprina em pacientes com DII no sudeste do Brasil. O teste genético pode auxiliar na escolha da melhor droga e na dose ideal para os pacientes portadores de DII antes do início do tratamento.

Investigação de variantes exônicas nos genes VPS35, EIF4G1 e LRRK2 como causa da doença de Parkinson em casuística brasileira

A doença de Parkinson (DP) é a segunda doença neurodegenerativa mais frequente no mundo, afetando 1-2% da população acima de 65 anos, caracterizada clinicamente por tremor em repouso, bradicinesia, instabilidade postural e rigidez muscular. Essas manifestações surgem devido à degeneração neuronal progressiva e à presença de inclusões proteicas ricas em α-sinucleína. A DP é decorrente da interação entre fatores ambientais e genéticos, e entre os fatores genéticos, variantes exônicas de transmissão dominante nos genes LRRK2 (leucine-rich repeat kinase 2), VPS35 (vacuolar protein sorting 35) e EIF4G1 (eukaryotic translation initiation factor 4-gamma 1) têm sido associadas à etiologia da doença. Entretanto, estudos sobre o efeito dessas variantes na população brasileira são raros ou inexistentes. Por essa razão, neste trabalho rastreamos mutações nos genes VPS35 (p.D620N; p.R524W), EIF4G1 (p.R1205H; p.A502V) e LRRK2 (p.G2019S) em uma amostra de 582 pacientes brasileiros com DP não aparentados e 329 indivíduos controles saudáveis. Além disso, conduzimos o primeiro estudo caso-controle para análise de variantes exônicas raras (p.Q1111H, p.T1410M, p.M1646T, p.S1761R, p.Y2189C) e comuns (p.N551K, p.R1398H, p.K1423K) no gene LRRK2 em um subgrupo de 329 pacientes brasileiros com DP, não aparentados, naturais da região sudeste. Esse subgrupo foi analisado e comparado com 222 indivíduos controles saudáveis a fim de verificar associações dessas variantes e a DP. Em relação às mutações dos genes VPS35 e EIF4G1, não foram encontradas alterações nos pacientes com DP. A mutação p.G2019S no gene LRRK2 foi encontrada em 15 probandos (2,6%), dos quais 9 são do sexo feminino (64,3%). O tremor em repouso foi observado em 47,36% dos pacientes com a mutação p.G2019S como primeiro sintoma motor. As análises das variantes raras no gene LRRK2 não revelaram qualquer associação estatisticamente significante. Entre as variantes comuns, a p.K1423K mostrou evidência de associação de risco com a DP (p<0,05) na estratificação contendo o grupo de indivíduos com história familiar da doença e para as variantes p.N551K e p.R1398H não foram observadas associações. A análise do haplótipo p.N551K-p.R1398H-p.K1423K revelou associação de proteção na amostra sudeste e na estratificação Rio de Janeiro (p<0,05). Esse haplótipo não está em desequilíbrio de ligação na amostra de 222 indivíduos controles brasileiros analisados (r2≤45). Os resultados obtidos neste estudo representam contribuições valiosas ao entendimento da relação entre as variantes genéticas estudadas e o risco de desenvolvimento da doença de Parkinson, principalmente no que se refere aos endofenótipos associados.

圆叶牵牛花青素代谢途径的基因型变异与花色变异的进化生物学研究

基因型变异和表型变异的相互关系问题是尚未解决的生物学基本问题之一，而解决这个问题的一个有效方法是研究基因组中功能相关基因的分子进化和表型效应的相互关系。在本研究中我们利用圆叶牵牛花青素代谢途径（该途径合成了与花色形成有关的色素）来研究表型变异和基因型变异的进化关系，希望探讨两个问题：1、代谢途径上基因多态性在不同位点的表现程度如何? 2、在中国种群中传粉者对花色有无选择? 在对第一个问题的研究中调查了中国圆叶牵牛花青素代谢途径部分结构基因和调控基因的多态性。所研究的结构基因为途径的第一个关键酶基因CHS-D基因和较下游的ANS基因、UF3GT基因，以及调控基因W位点。其次是在温室中进行人工自交以获得所研究基因的纯合体。在对第二个问题的研究中，首先调查了野外圆叶牵牛不同花色的传粉者和传粉几率，其次是分析有色花个体与白花个体中的遗传变异程度。目前的研究结果表明CHS-D位点有3个等位基因，其中在中国的西南部地区发现了1个新的、在已报道的7个等位基因以外的等位基因;较下游的结构酶基因ANS位点存在有5个等位基因（在中国新发现3个等位基因）;UF3GT位点目前只发现有2个已报道的等位基因。在中国的圆叶牵牛中，新发现调控基因W位点上一个有功能的等位基因Ipmyb2，它与已报道的等位基因Ipmyb1的差异主要存在于内含子部分，而与发生缺失（1个6bp的缺失和1个19bp的缺失）后无功能的等位基因ipmyb2（该基因造成白花）存在外显子部分的8个碱基的差异。野外传粉观察结果表明，白花个体与有色花个体受到传粉者介导的选择，传粉者偏爱有色花而歧视白花，而且与在美洲不同，在中国圆叶牵牛的主要授粉者为蛾类而不是蜂类，从野外观察统计的结果看蛾类的传粉效率要高于蜂类。以上结果表明：1）花青素代谢途径上酶基因的位点均有一定程度的多态，其中尤以ANS为最高;调控基因ipmyb2的核苷酸缺失造成该基因停止功能，使其纯合子的个体开白色花。2）授粉者所介导的花色表型选择确实在中国种群中发生，有可能进一步增加花色代谢途径上基因位点的遗传变异。

DNA diagnosis by capillary electrophoresis and microfabricated electrophoretic devices

DNA diagnosis is experiencing an impressive progression towards the development of novel technology to identity various clinically relevant categories of genetic changes and to meet the exponential growth of genomics. The introduction of capillary electrophoresis has dramatically accelerated the completion of the first draft of the human DNA sequence in the Human Genome Project, and thus, has become the method of choice for analysis of various genetic variants. The recent development of microfabricated electrophoretic devices has led to the possibility of integrating multiple sample handling with the actual measurement steps required for automation of molecular diagnostics. This review highlights the most recent progress in capillary electrophoresis and electrophoretic microdevices for DNA-based diagnostics, including the important areas of genotyping for point mutation, single nucleotide polymorphisms, short tandem repeats and organism identification. The application of these techniques for infectious and genetic disease diagnosis, as well as forensic identification purpose, are covered. The promising development and the challenges for techinical problems are also discussed.

Framingham Heart Study 100K project: genome-wide associations for cardiovascular disease outcomes

BACKGROUND:Cardiovascular disease (CVD) and its most common manifestations - including coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF) - are major causes of morbidity and mortality. In many industrialized countries, cardiovascular disease (CVD) claims more lives each year than any other disease. Heart disease and stroke are the first and third leading causes of death in the United States. Prior investigations have reported several single gene variants associated with CHD, stroke, HF, and AF. We report a community-based genome-wide association study of major CVD outcomes.METHODS:In 1345 Framingham Heart Study participants from the largest 310 pedigrees (54% women, mean age 33 years at entry), we analyzed associations of 70,987 qualifying SNPs (Affymetrix 100K GeneChip) to four major CVD outcomes: major atherosclerotic CVD (n = 142; myocardial infarction, stroke, CHD death), major CHD (n = 118; myocardial infarction, CHD death), AF (n = 151), and HF (n = 73). Participants free of the condition at entry were included in proportional hazards models. We analyzed model-based deviance residuals using generalized estimating equations to test associations between SNP genotypes and traits in additive genetic models restricted to autosomal SNPs with minor allele frequency [greater than or equal to]0.10, genotype call rate [greater than or equal to]0.80, and Hardy-Weinberg equilibrium p-value [greater than or equal to] 0.001.RESULTS:Six associations yielded p <10-5. The lowest p-values for each CVD trait were as follows: major CVD, rs499818, p = 6.6 x 10-6; major CHD, rs2549513, p = 9.7 x 10-6; AF, rs958546, p = 4.8 x 10-6; HF: rs740363, p = 8.8 x 10-6. Of note, we found associations of a 13 Kb region on chromosome 9p21 with major CVD (p 1.7 - 1.9 x 10-5) and major CHD (p 2.5 - 3.5 x 10-4) that confirm associations with CHD in two recently reported genome-wide association studies. Also, rs10501920 in CNTN5 was associated with AF (p = 9.4 x 10-6) and HF (p = 1.2 x 10-4). Complete results for these phenotypes can be found at the dbgap website http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007.CONCLUSION:No association attained genome-wide significance, but several intriguing findings emerged. Notably, we replicated associations of chromosome 9p21 with major CVD. Additional studies are needed to validate these results. Finding genetic variants associated with CVD may point to novel disease pathways and identify potential targeted preventive therapies.

Genome-wide association study for subclinical atherosclerosis in major arterial territories in the NHLBI's Framingham Heart Study

INTRODUCTION:Subclinical atherosclerosis (SCA) measures in multiple arterial beds are heritable phenotypes that are associated with increased incidence of cardiovascular disease. We conducted a genome-wide association study (GWAS) for SCA measurements in the community-based Framingham Heart Study.METHODS:Over 100,000 single nucleotide polymorphisms (SNPs) were genotyped (Human 100K GeneChip, Affymetrix) in 1345 subjects from 310 families. We calculated sex-specific age-adjusted and multivariable-adjusted residuals in subjects tested for quantitative SCA phenotypes, including ankle-brachial index, coronary artery calcification and abdominal aortic calcification using multi-detector computed tomography, and carotid intimal medial thickness (IMT) using carotid ultrasonography. We evaluated associations of these phenotypes with 70,987 autosomal SNPs with minor allele frequency [greater than or equal to] 0.10, call rate [greater than or equal to] 80%, and Hardy-Weinberg p-value [greater than or equal to] 0.001 in samples ranging from 673 to 984 subjects, using linear regression with generalized estimating equations (GEE) methodology and family-based association testing (FBAT). Variance components LOD scores were also calculated.RESULTS:There was no association result meeting criteria for genome-wide significance, but our methods identified 11 SNPs with p < 10-5 by GEE and five SNPs with p < 10-5 by FBAT for multivariable-adjusted phenotypes. Among the associated variants were SNPs in or near genes that may be considered candidates for further study, such as rs1376877 (GEE p < 0.000001, located in ABI2) for maximum internal carotid artery IMT and rs4814615 (FBAT p = 0.000003, located in PCSK2) for maximum common carotid artery IMT. Modest significant associations were noted with various SCA phenotypes for variants in previously reported atherosclerosis candidate genes, including NOS3 and ESR1. Associations were also noted of a region on chromosome 9p21 with CAC phenotypes that confirm associations with coronary heart disease and CAC in two recently reported genome-wide association studies. In linkage analyses, several regions of genome-wide linkage were noted, confirming previously reported linkage of internal carotid artery IMT on chromosome 12. All GEE, FBAT and linkage results are provided as an open-access results resource at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007.CONCLUSION:The results from this GWAS generate hypotheses regarding several SNPs that may be associated with SCA phenotypes in multiple arterial beds. Given the number of tests conducted, subsequent independent replication in a staged approach is essential to identify genetic variants that may be implicated in atherosclerosis.

Polymorphisms in the ACE and ADRB2 genes and risks of aging-associated phenotypes: the case of myocardial infarction.

Multiple functions of the beta2-adrenergic receptor (ADRB2) and angiotensin-converting enzyme (ACE) genes warrant studies of their associations with aging-related phenotypes. We focus on multimarker analyses and analyses of the effects of compound genotypes of two polymorphisms in the ADRB2 gene, rs1042713 and rs1042714, and 11 polymorphisms of the ACE gene, on the risk of such an aging-associated phenotype as myocardial infarction (MI). We used the data from a genotyped sample of the Framingham Heart Study Offspring (FHSO) cohort (n = 1500) followed for about 36 years with six examinations. The ADRB2 rs1042714 (C-->G) polymorphism and two moderately correlated (r(2) = 0.77) ACE polymorphisms, rs4363 (A-->G) and rs12449782 (A-->G), were significantly associated with risks of MI in this aging cohort in multimarker models. Predominantly linked ACE genotypes exhibited opposite effects on MI risks, e.g., the AA (rs12449782) genotype had a detrimental effect, whereas the predominantly linked AA (rs4363) genotype exhibited a protective effect. This trade-off occurs as a result of the opposite effects of rare compound genotypes of the ACE polymorphisms with a single dose of the AG heterozygote. This genetic trade-off is further augmented by the selective modulating effect of the rs1042714 ADRB2 polymorphism. The associations were not altered by adjustment for common MI risk factors. The results suggest that effects of single specific genetic variants of the ADRB2 and ACE genes on MI can be readily altered by gene-gene or/and gene-environmental interactions, especially in large heterogeneous samples. Multimarker genetic analyses should benefit studies of complex aging-associated phenotypes.

The characterization of twenty sequenced human genomes.

We present the analysis of twenty human genomes to evaluate the prospects for identifying rare functional variants that contribute to a phenotype of interest. We sequenced at high coverage ten "case" genomes from individuals with severe hemophilia A and ten "control" genomes. We summarize the number of genetic variants emerging from a study of this magnitude, and provide a proof of concept for the identification of rare and highly-penetrant functional variants by confirming that the cause of hemophilia A is easily recognizable in this data set. We also show that the number of novel single nucleotide variants (SNVs) discovered per genome seems to stabilize at about 144,000 new variants per genome, after the first 15 individuals have been sequenced. Finally, we find that, on average, each genome carries 165 homozygous protein-truncating or stop loss variants in genes representing a diverse set of pathways.

Genome-wide mRNA expression correlates of viral control in CD4+ T-cells from HIV-1-infected individuals.

There is great interindividual variability in HIV-1 viral setpoint after seroconversion, some of which is known to be due to genetic differences among infected individuals. Here, our focus is on determining, genome-wide, the contribution of variable gene expression to viral control, and to relate it to genomic DNA polymorphism. RNA was extracted from purified CD4+ T-cells from 137 HIV-1 seroconverters, 16 elite controllers, and 3 healthy blood donors. Expression levels of more than 48,000 mRNA transcripts were assessed by the Human-6 v3 Expression BeadChips (Illumina). Genome-wide SNP data was generated from genomic DNA using the HumanHap550 Genotyping BeadChip (Illumina). We observed two distinct profiles with 260 genes differentially expressed depending on HIV-1 viral load. There was significant upregulation of expression of interferon stimulated genes with increasing viral load, including genes of the intrinsic antiretroviral defense. Upon successful antiretroviral treatment, the transcriptome profile of previously viremic individuals reverted to a pattern comparable to that of elite controllers and of uninfected individuals. Genome-wide evaluation of cis-acting SNPs identified genetic variants modulating expression of 190 genes. Those were compared to the genes whose expression was found associated with viral load: expression of one interferon stimulated gene, OAS1, was found to be regulated by a SNP (rs3177979, p = 4.9E-12); however, we could not detect an independent association of the SNP with viral setpoint. Thus, this study represents an attempt to integrate genome-wide SNP signals with genome-wide expression profiles in the search for biological correlates of HIV-1 control. It underscores the paradox of the association between increasing levels of viral load and greater expression of antiviral defense pathways. It also shows that elite controllers do not have a fully distinctive mRNA expression pattern in CD4+ T cells. Overall, changes in global RNA expression reflect responses to viral replication rather than a mechanism that might explain viral control.

Associations between Intake of Folate, Methionine, and Vitamins B-12, B-6 and Prostate Cancer Risk in American Veterans.

Prostate cancer (PC) is the second leading cause of cancer death in men. Recent reports suggest that excess of nutrients involved in the one-carbon metabolism pathway increases PC risk; however, empirical data are lacking. Veteran American men (272 controls and 144 PC cases) who attended the Durham Veteran American Medical Center between 2004-2009 were enrolled into a case-control study. Intake of folate, vitamin B12, B6, and methionine were measured using a food frequency questionnaire. Regression models were used to evaluate the association among one-carbon cycle nutrients, MTHFR genetic variants, and prostate cancer. Higher dietary methionine intake was associated with PC risk (OR = 2.1; 95%CI 1.1-3.9) The risk was most pronounced in men with Gleason sum <7 (OR = 2.75; 95%CI 1.32- 5.73). The association of higher methionine intake and PC risk was only apparent in men who carried at least one MTHFR A1298C allele (OR = 6.7; 95%CI = 1.6-27.8), compared to MTHFR A1298A noncarrier men (OR = 0.9; 95%CI = 0.24-3.92) (p-interaction = 0.045). There was no evidence for associations between B vitamins (folate, B12, and B6) and PC risk. Our results suggest that carrying the MTHFR A1298C variants modifies the association between high methionine intake and PC risk. Larger studies are required to validate these findings.

Functional annotation signatures of disease susceptibility loci improve SNP association analysis.

BACKGROUND: Genetic association studies are conducted to discover genetic loci that contribute to an inherited trait, identify the variants behind these associations and ascertain their functional role in determining the phenotype. To date, functional annotations of the genetic variants have rarely played more than an indirect role in assessing evidence for association. Here, we demonstrate how these data can be systematically integrated into an association study's analysis plan. RESULTS: We developed a Bayesian statistical model for the prior probability of phenotype-genotype association that incorporates data from past association studies and publicly available functional annotation data regarding the susceptibility variants under study. The model takes the form of a binary regression of association status on a set of annotation variables whose coefficients were estimated through an analysis of associated SNPs in the GWAS Catalog (GC). The functional predictors examined included measures that have been demonstrated to correlate with the association status of SNPs in the GC and some whose utility in this regard is speculative: summaries of the UCSC Human Genome Browser ENCODE super-track data, dbSNP function class, sequence conservation summaries, proximity to genomic variants in the Database of Genomic Variants and known regulatory elements in the Open Regulatory Annotation database, PolyPhen-2 probabilities and RegulomeDB categories. Because we expected that only a fraction of the annotations would contribute to predicting association, we employed a penalized likelihood method to reduce the impact of non-informative predictors and evaluated the model's ability to predict GC SNPs not used to construct the model. We show that the functional data alone are predictive of a SNP's presence in the GC. Further, using data from a genome-wide study of ovarian cancer, we demonstrate that their use as prior data when testing for association is practical at the genome-wide scale and improves power to detect associations. CONCLUSIONS: We show how diverse functional annotations can be efficiently combined to create 'functional signatures' that predict the a priori odds of a variant's association to a trait and how these signatures can be integrated into a standard genome-wide-scale association analysis, resulting in improved power to detect truly associated variants.

CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation.

Meta-analyses of genome-wide association studies (GWAS) have demonstrated that the same genetic variants can be associated with multiple diseases and other complex traits. We present software called CPAG (Cross-Phenotype Analysis of GWAS) to look for similarities between 700 traits, build trees with informative clusters, and highlight underlying pathways. Clusters are consistent with pre-defined groups and literature-based validation but also reveal novel connections. We report similarity between plasma palmitoleic acid and Crohn's disease and find that specific fatty acids exacerbate enterocolitis in zebrafish. CPAG will become increasingly powerful as more genetic variants are uncovered, leading to a deeper understanding of complex traits. CPAG is freely available at www.sourceforge.net/projects/CPAG/.

Genome-wide association study of perioperative myocardial infarction after coronary artery bypass surgery.

OBJECTIVES: Identification of patient subpopulations susceptible to develop myocardial infarction (MI) or, conversely, those displaying either intrinsic cardioprotective phenotypes or highly responsive to protective interventions remain high-priority knowledge gaps. We sought to identify novel common genetic variants associated with perioperative MI in patients undergoing coronary artery bypass grafting using genome-wide association methodology. SETTING: 107 secondary and tertiary cardiac surgery centres across the USA. PARTICIPANTS: We conducted a stage I genome-wide association study (GWAS) in 1433 ethnically diverse patients of both genders (112 cases/1321 controls) from the Genetics of Myocardial Adverse Outcomes and Graft Failure (GeneMAGIC) study, and a stage II analysis in an expanded population of 2055 patients (225 cases/1830 controls) combined from the GeneMAGIC and Duke Perioperative Genetics and Safety Outcomes (PEGASUS) studies. Patients undergoing primary non-emergent coronary bypass grafting were included. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome variable was perioperative MI, defined as creatine kinase MB isoenzyme (CK-MB) values ≥10× upper limit of normal during the first postoperative day, and not attributable to preoperative MI. Secondary outcomes included postoperative CK-MB as a quantitative trait, or a dichotomised phenotype based on extreme quartiles of the CK-MB distribution. RESULTS: Following quality control and adjustment for clinical covariates, we identified 521 single nucleotide polymorphisms in the stage I GWAS analysis. Among these, 8 common variants in 3 genes or intergenic regions met p<10(-5) in stage II. A secondary analysis using CK-MB as a quantitative trait (minimum p=1.26×10(-3) for rs609418), or a dichotomised phenotype based on extreme CK-MB values (minimum p=7.72×10(-6) for rs4834703) supported these findings. Pathway analysis revealed that genes harbouring top-scoring variants cluster in pathways of biological relevance to extracellular matrix remodelling, endoplasmic reticulum-to-Golgi transport and inflammation. CONCLUSIONS: Using a two-stage GWAS and pathway analysis, we identified and prioritised several potential susceptibility loci for perioperative MI.

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.

In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) - a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date - of schizophrenia and major depression - ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others(1), ENIGMA's genomic screens - now numbering over 30,000 MRI scans - have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants - and genetic variants in general - may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures - from tens of thousands of people - that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.