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Lopera-Maya EA, Li S, de Brouwer R, Nolte IM, van Breen J, Jongbloed JDH, Swertz MA, Snieder H, Franke L, Wijmenga C, de Boer RA, Deelen P, van der Zwaag PA, Sanna S. Phenotypic and Genetic Factors Associated with Absence of Cardiomyopathy Symptoms in PLN:c.40_42delAGA Carriers. J Cardiovasc Transl Res 2023; 16:1251-1266. [PMID: 36622581 PMCID: PMC10721704 DOI: 10.1007/s12265-022-10347-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/14/2022] [Indexed: 01/10/2023]
Abstract
The c.40_42delAGA variant in the phospholamban gene (PLN) has been associated with dilated and arrhythmogenic cardiomyopathy, with up to 70% of carriers experiencing a major cardiac event by age 70. However, there are carriers who remain asymptomatic at older ages. To understand the mechanisms behind this incomplete penetrance, we evaluated potential phenotypic and genetic modifiers in 74 PLN:c.40_42delAGA carriers identified in 36,339 participants of the Lifelines population cohort. Asymptomatic carriers (N = 48) showed shorter QRS duration (- 5.73 ms, q value = 0.001) compared to asymptomatic non-carriers, an effect we could replicate in two different independent cohorts. Furthermore, symptomatic carriers showed a higher correlation (rPearson = 0.17) between polygenic predisposition to higher QRS (PGSQRS) and QRS (p value = 1.98 × 10-8), suggesting that the effect of the genetic variation on cardiac rhythm might be increased in symptomatic carriers. Our results allow for improved clinical interpretation for asymptomatic carriers, while our approach could guide future studies on genetic diseases with incomplete penetrance.
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Affiliation(s)
- Esteban A Lopera-Maya
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Shuang Li
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Remco de Brouwer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Justin van Breen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jan D H Jongbloed
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Morris A Swertz
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Patrick Deelen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Paul A van der Zwaag
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
| | - Serena Sanna
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
- Institute for Genetic and Biomedical Research (IRGB), National Research Council (CNR), Cagliari, Italy.
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Hoffmann TJ, Lu M, Oni-Orisan A, Lee C, Risch N, Iribarren C. A large genome-wide association study of QT interval length utilizing electronic health records. Genetics 2022; 222:iyac157. [PMID: 36271874 PMCID: PMC9713425 DOI: 10.1093/genetics/iyac157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/22/2022] [Indexed: 12/13/2022] Open
Abstract
QT interval length is an important risk factor for adverse cardiovascular outcomes; however, the genetic architecture of QT interval remains incompletely understood. We conducted a genome-wide association study of 76,995 ancestrally diverse Kaiser Permanente Northern California members enrolled in the Genetic Epidemiology Research on Adult Health and Aging cohort using 448,517 longitudinal QT interval measurements, uncovering 9 novel variants, most replicating in 40,537 individuals in the UK Biobank and Population Architecture using Genomics and Epidemiology studies. A meta-analysis of all 3 cohorts (n = 117,532) uncovered an additional 19 novel variants. Conditional analysis identified 15 additional variants, 3 of which were novel. Little, if any, difference was seen when adjusting for putative QT interval lengthening medications genome-wide. Using multiple measurements in Genetic Epidemiology Research on Adult Health and Aging increased variance explained by 163%, and we show that the ≈6 measurements in Genetic Epidemiology Research on Adult Health and Aging was equivalent to a 2.4× increase in sample size of a design with a single measurement. The array heritability was estimated at ≈17%, approximately half of our estimate of 36% from family correlations. Heritability enrichment was estimated highest and most significant in cardiovascular tissue (enrichment 7.2, 95% CI = 5.7-8.7, P = 2.1e-10), and many of the novel variants included expression quantitative trait loci in heart and other relevant tissues. Comparing our results to other cardiac function traits, it appears that QT interval has a multifactorial genetic etiology.
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Affiliation(s)
- Thomas J Hoffmann
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Meng Lu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Akinyemi Oni-Orisan
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA 94143, USA
| | - Catherine Lee
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94143, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
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Zhan H, Zhang S, Zhang K, Peng X, Xie S, Li X, Zhao S, Ma Y. Genome-Wide Patterns of Homozygosity and Relevant Characterizations on the Population Structure in Piétrain Pigs. Genes (Basel) 2020; 11:genes11050577. [PMID: 32455573 PMCID: PMC7291003 DOI: 10.3390/genes11050577] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/11/2020] [Accepted: 05/11/2020] [Indexed: 01/06/2023] Open
Abstract
Investigating the patterns of homozygosity, linkage disequilibrium, effective population size and inbreeding coefficients in livestock contributes to our understanding of the genetic diversity and evolutionary history. Here we used Illumina PorcineSNP50 Bead Chip to identify the runs of homozygosity (ROH) and estimate the linkage disequilibrium (LD) across the whole genome, and then predict the effective population size. In addition, we calculated the inbreeding coefficients based on ROH in 305 Piétrain pigs and compared its effect with the other two types of inbreeding coefficients obtained by different calculation methods. A total of 23,434 ROHs were detected, and the average length of ROH per individual was about 507.27 Mb. There was no regularity on how those runs of homozygosity distributed in genome. The comparisons of different categories suggested that the formation of long ROH was probably related with recent inbreeding events. Although the density of genes located in ROH core regions is lower than that in the other genomic regions, most of them are related with Piétrain commercial traits like meat qualities. Overall, the results provide insight into the way in which ROH is produced and the identified ROH core regions can be used to map the genes associated with commercial traits in domestic animals.
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Affiliation(s)
| | | | | | | | | | | | | | - Yunlong Ma
- Correspondence: ; Tel.: +86-027-87282091
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Genetic analysis of hsCRP in American Indians: The Strong Heart Family Study. PLoS One 2019; 14:e0223574. [PMID: 31622379 PMCID: PMC6797125 DOI: 10.1371/journal.pone.0223574] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/24/2019] [Indexed: 02/07/2023] Open
Abstract
Background Increased serum levels of C-reactive protein (CRP), an important component of the innate immune response, are associated with increased risk of cardiovascular disease (CVD). Multiple single nucleotide polymorphisms (SNP) have been identified which are associated with CRP levels, and Mendelian randomization studies have shown a positive association between SNPs increasing CRP expression and risk of colon cancer (but thus far not CVD). The effects of individual genetic variants often interact with the genetic background of a population and hence we sought to resolve the genetic determinants of serum CRP in a number of American Indian populations. Methods The Strong Heart Family Study (SHFS) has serum CRP measurements from 2428 tribal members, recruited as large families from three regions of the United States. Microsatellite markers and MetaboChip defined SNP genotypes were incorporated into variance components, decomposition-based linkage and association analyses. Results CRP levels exhibited significant heritability (h2 = 0.33 ± 0.05, p<1.3 X 10−20). A locus on chromosome (chr) 6, near marker D6S281 (approximately at 169.6 Mb, GRCh38/hg38) showed suggestive linkage (LOD = 1.9) to CRP levels. No individual SNPs were found associated with CRP levels after Bonferroni adjustment for multiple testing (threshold <7.77 x 10−7), however, we found nominal associations, many of which replicate previous findings at the CRP, HNF1A and 7 other loci. In addition, we report association of 46 SNPs located at 7 novel loci on chromosomes 2, 5, 6(2 loci), 9, 10 and 17, with an average of 15.3 Kb between SNPs and all with p-values less than 7.2 X 10−4. Conclusion In agreement with evidence from other populations, these data show CRP serum levels are under considerable genetic influence; and include loci, such as near CRP and other genes, that replicate results from other ethnic groups. These findings also suggest possible novel loci on chr 6 and other chromosomes that warrant further investigation.
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Zang X, Li S, Zhao Y, Chen K, Wang X, Song W, Ma J, Tu X, Xia Y, Zhang S, Gao C. Systematic Meta-Analysis of the Association Between a Common NOS1AP Genetic Polymorphism, the QTc Interval, and Sudden Death. Int Heart J 2019; 60:1083-1090. [PMID: 31447468 DOI: 10.1536/ihj.19-024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Contemporary studies have identified rs10494366 in the nitric oxide synthase 1 adaptor protein (NOS1AP) gene as a new genetic marker in modulating the QT interval and sudden cardiac death (SCD) in general populations. However, the conclusions were not coincident. Therefore, we conducted for the first time a system evaluation of the relativity of rs10494366, the QT interval, and sudden death by meta-analysis. In our study, the meta-analysis displayed the GG genotype of rs10494366 correlated with the QT interval in women with no heterogeneity, and in diabetes mellitus (DM) patients with minor heterogeneity. In the Caucasian population, the correlation of rs10494366 and sudden death was significant. The heterogeneity referred to the relevance between rs10494366 and sudden death in the Asian population. In conclusion, the minor allele of rs10494366 may have an impact on the QT interval in women or DM patients and may have a potential role in sudden death in the Caucasian population.
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Affiliation(s)
- Xiaobiao Zang
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | | | - Yonghui Zhao
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | - Ke Chen
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | - Xianqing Wang
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | - Weifeng Song
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | - Jifang Ma
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology and Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology
| | - Yunlong Xia
- First Affiliated Hospital of Dalian Medical University
| | - Shulong Zhang
- Department of Cardiology, Affiliated Zhongshan Hospital of Dalian University
| | - Chuanyu Gao
- Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou University
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van der Ende MY, Said MA, van Veldhuisen DJ, Verweij N, van der Harst P. Genome-wide studies of heart failure and endophenotypes: lessons learned and future directions. Cardiovasc Res 2019; 114:1209-1225. [PMID: 29912321 DOI: 10.1093/cvr/cvy083] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 04/16/2018] [Indexed: 12/28/2022] Open
Abstract
Heart failure (HF) is a complex clinical syndrome resulting from structural or functional impairments of ventricular filling or ejection of blood. HF has a poor prognosis and the burden to society remains tremendous. The unfulfilled expectation is that expanding our knowledge of the genetic architecture of HF will help to quickly advance the quality of risk assessment, diagnoses, and treatment. To date, genome-wide association studies (GWAS) of HF have led to disappointing results with only limited progress in our understanding and tempering the earlier expectations. However, the analyses of traits closely related to HF (also called 'endophenotypes') have led to promising and novel findings. For example, GWAS of NT-proBNP levels not only identified variants in the NNPA-NPPB locus but also substantiated data suggesting that natriuretic peptides in itself are associated with a lower risk of hypertension and HF. Many other genetic associates currently await experimental follow-up in which genes are prioritized based on bioinformatic analyses and various model organisms are employed to obtain functional insights. Promising genes with identified function could later be used in personalized medicine. Also, targeting specific pathogenic gene mutations is promising to protect future generations from HF, such as recently done in human embryos carrying the cardiomyopathy-associated MYBPC3 mutation. This review discusses the current status of GWAS of HF and its endophenotypes. In addition, future directions such as functional follow-up and application of GWAS results are discussed.
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Affiliation(s)
- Maaike Yldau van der Ende
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, RB Groningen, The Netherlands
| | - Mir Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, RB Groningen, The Netherlands
| | - Dirk Jan van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, RB Groningen, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, RB Groningen, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, RB Groningen, The Netherlands
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7
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Bastiaenen R, Nolte IM, Munroe PB, Riese H, Nelson C, O'Connor H, Gang Y, Warren HR, Cabrera C, Reinhard W, Hengstenberg C, Rijsdijk FV, Spector T, Snieder H, Samani NJ, Jamshidi Y, Behr ER. The narrow-sense and common single nucleotide polymorphism heritability of early repolarization. Int J Cardiol 2018; 279:135-140. [PMID: 30297186 DOI: 10.1016/j.ijcard.2018.09.119] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 09/24/2018] [Accepted: 09/28/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Early repolarization (ER) is a risk marker for sudden cardiac death. Higher risk is associated with horizontal/descending ST-segment ER in the inferior or inferolateral ECG leads. Studies in family cohorts have demonstrated substantial heritability for the ER pattern, but genome-wide association studies (GWAS) have failed to identify statistically significant and replicable genetic signals. METHODS AND RESULTS We assessed the narrow-sense and common single nucleotide polymorphism (SNP) heritability of ER and ER subtypes using ECG data from 5829 individuals (TwinsUK, BRIGHT and GRAPHIC cohorts). ER prevalence was 8.3%. In 455 monozygous vs 808 dizygous twin pairs, concordances and twin correlations for ER subtypes (except horizontal/descending ST-segment ER) were higher and familial resemblance (except notched ER) was significant. Narrow-sense heritability estimates derived from 1263 female twin pairs using the structural equation program Mx ranged from 0.00-0.47 and common SNP heritability estimates derived from 4009 unrelated individuals of both sexes using Genome-wide Restricted Maximum Likelihood (GREML) ranged from 0.00-0.36, but none were statistically significant. CONCLUSION From our data, ER shows limited genetic predisposition. There appears to be significant environmental influence and these modest narrow-sense and common SNP heritability estimates may explain why previous GWAS have been unsuccessful.
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Affiliation(s)
- Rachel Bastiaenen
- Molecular and Clinical Sciences Research Institute, St George's University of London, UK
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK; NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, UK
| | - Harriëtte Riese
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Interdisciplinary Center Pathology of Emotion regulation (ICPE), Department of Psychiatry, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Christopher Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Henry O'Connor
- Molecular and Clinical Sciences Research Institute, St George's University of London, UK
| | - Yi Gang
- Molecular and Clinical Sciences Research Institute, St George's University of London, UK
| | - Helen R Warren
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK; NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, UK
| | - Claudia Cabrera
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK; NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, UK
| | - Wibke Reinhard
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Christian Hengstenberg
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Frühling V Rijsdijk
- Social, Genetic and Developmental Psychiatric Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Yalda Jamshidi
- Molecular and Clinical Sciences Research Institute, St George's University of London, UK
| | - Elijah R Behr
- Molecular and Clinical Sciences Research Institute, St George's University of London, UK.
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Genomic approaches for the elucidation of genes and gene networks underlying cardiovascular traits. Biophys Rev 2018; 10:1053-1060. [PMID: 29934864 PMCID: PMC6082306 DOI: 10.1007/s12551-018-0435-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 06/13/2018] [Indexed: 12/31/2022] Open
Abstract
Genome-wide association studies have shed light on the association between natural genetic variation and cardiovascular traits. However, linking a cardiovascular trait associated locus to a candidate gene or set of candidate genes for prioritization for follow-up mechanistic studies is all but straightforward. Genomic technologies based on next-generation sequencing technology nowadays offer multiple opportunities to dissect gene regulatory networks underlying genetic cardiovascular trait associations, thereby aiding in the identification of candidate genes at unprecedented scale. RNA sequencing in particular becomes a powerful tool when combined with genotyping to identify loci that modulate transcript abundance, known as expression quantitative trait loci (eQTL), or loci modulating transcript splicing known as splicing quantitative trait loci (sQTL). Additionally, the allele-specific resolution of RNA-sequencing technology enables estimation of allelic imbalance, a state where the two alleles of a gene are expressed at a ratio differing from the expected 1:1 ratio. When multiple high-throughput approaches are combined with deep phenotyping in a single study, a comprehensive elucidation of the relationship between genotype and phenotype comes into view, an approach known as systems genetics. In this review, we cover key applications of systems genetics in the broad cardiovascular field.
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Rosenberg MA, Lubitz SA, Lin H, Kosova G, Castro VM, Huang P, Ellinor PT, Perlis RH, Newton-Cheh C. Validation of Polygenic Scores for QT Interval in Clinical Populations. ACTA ACUST UNITED AC 2018; 10:CIRCGENETICS.117.001724. [PMID: 28986454 DOI: 10.1161/circgenetics.117.001724] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 08/28/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND Polygenic risk scores (PGS) enable rapid estimation of genome-wide susceptibility for traits, which may be useful in clinical settings, such as prediction of QT interval. In this study, we sought to validate PGS for QT interval in 2 real-world cohorts of European ancestry (EA) and African ancestry (AA). METHODS AND RESULTS Two thousand nine hundred and fifteen participants of EA and 366 of AA in the MGH CAMP study (Cardiology and Metabolic Patient) were genotyped on a genome-wide array and imputed to the 1000 Genomes reference panel. An additional 820 EA and 57 AA participants in the Partners Biobank were genotyped and used for validation. PGS were created for each individual using effect estimates from association tests with QT interval obtained from prior genome-wide association studies, with variants selected based from multiple significance thresholds in the original study. In regression models, clinical variables explained ≈9% to 10% of total variation in resting QTc in EA individuals and ≈12% to 18% in AA individuals. The PGS significantly increased variation explained at most significance thresholds (P<0.001), with a trend toward increased variation explained at more stringent P value cut points in the CAMP EA cohort (P<0.05). In AA individuals, PGS provided no improvement in variation explained at any significance threshold. CONCLUSIONS For individuals of European descent, PGS provided a significant increase in variation in QT interval explained compared with a model with only nongenetic factors at nearly every significance level. There was no apparent benefit gained by relaxing the significance threshold from conventional genome-wide significance (P<5×10-8).
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Affiliation(s)
- Michael A Rosenberg
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.).
| | - Steven A Lubitz
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Honghuang Lin
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Gulum Kosova
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Victor M Castro
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Paul Huang
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Patrick T Ellinor
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Roy H Perlis
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
| | - Christopher Newton-Cheh
- From the University of Colorado School of Medicine, Aurora (M.A.R.); Massachusetts General Hospital, Boston (S.A.L., G.K., V.M.C., P.H., P.T.E., R.H.P., C.N.-C.); and Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, MA (H.L.)
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10
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Munroe PB, Addison S, Abrams DJ, Sebire NJ, Cartwright J, Donaldson I, Cohen MM, Mein C, Tinker A, Harmer SC, Aziz Q, Terry A, Struebig M, Warren HR, Vadgama B, Fowler DJ, Peebles D, Taylor AM, Lally PJ, Thayyil S. Postmortem Genetic Testing for Cardiac Ion Channelopathies in Stillbirths. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2018; 11:e001817. [PMID: 29874177 DOI: 10.1161/circgen.117.001817] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 11/07/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Although stillbirth is a significant health problem worldwide, the definitive cause of death remains elusive in many cases, despite detailed autopsy. In this study of partly explained and unexplained stillbirths, we used next-generation sequencing to examine an extended panel of 35 candidate genes known to be associated with ion channel disorders and sudden cardiac death. METHODS AND RESULTS We examined tissue from 242 stillbirths (≥22 weeks), including those where no definite cause of death could be confirmed after a full autopsy. We obtained high-quality DNA from 70 cases, which were then sequenced for a custom panel of 35 genes, 12 for inherited long- and short-QT syndrome genes (LQT1-LQT12 and SQT1-3), and 23 additional candidate genes derived from genome-wide association studies. We examined the functional significance of a selected variant by patch-clamp electrophysiological recording. No predicted damaging variants were identified in KCNQ1 (LQT1) or KCNH2 (LQT2). A rare putative pathogenic variant was found in KCNJ2(LQT7) in 1 case, and several novel variants of uncertain significance were observed. The KCNJ2 variant (p. R40Q), when assessed by whole-cell patch clamp, affected the function of the channel. There was no significant evidence of enrichment of rare predicted damaging variants within any of the candidate genes. CONCLUSIONS Although a causative link is unclear, 1 putative pathogenic and variants of uncertain significance variant resulting in cardiac channelopathies was identified in some cases of otherwise unexplained stillbirth, and these variants may have a role in fetal demise. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT01120886.
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Affiliation(s)
- Patricia B Munroe
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.).
| | - Shea Addison
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Dominic J Abrams
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Neil J Sebire
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - James Cartwright
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Ian Donaldson
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Marta M Cohen
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Charles Mein
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Andrew Tinker
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Stephen C Harmer
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Qadeer Aziz
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Anna Terry
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Monika Struebig
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Helen R Warren
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Bhumita Vadgama
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Darren J Fowler
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Donald Peebles
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Andrew M Taylor
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Peter J Lally
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.)
| | - Sudhin Thayyil
- From the Clinical Pharmacology (P.B.M., S.A., J.C., A.T., S.C.H., Q.A., H.R.W.) and National Institute for Health Research Barts Cardiovascular Biomedical Research Unit (P.B.M., A.T., H.R.W.), William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, United Kingdom; Genome Centre, Queen Mary University of London, United Kingdom (I.D., C.M., A.T., M.S., B.V.); Centre for Perinatal Neuroscience, Imperial College London, United Kingdom (S.A., P.J.L., S.T.); Paediatric Cardiology, Children's Hospital Boston, MA (D.J.A.); Histopathology, Great Ormond Street Hospital, London, United Kingdom (N.J.S.); Histopathology, Sheffield Children's Hospital, United Kingdom (M.M.C.); Histopathology, Southampton General Hospital, United Kingdom (D.J.F.); Institute for Women's Health, San Antonio, TX (D.P.); and Institute for Cardiovascular Science, University College London, United Kingdom (A.M.T.).
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11
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Méndez-Giráldez R, Gogarten SM, Below JE, Yao J, Seyerle AA, Highland HM, Kooperberg C, Soliman EZ, Rotter JI, Kerr KF, Ryckman KK, Taylor KD, Petty LE, Shah SJ, Conomos MP, Sotoodehnia N, Cheng S, Heckbert SR, Sofer T, Guo X, Whitsel EA, Lin HJ, Hanis CL, Laurie CC, Avery CL. GWAS of the electrocardiographic QT interval in Hispanics/Latinos generalizes previously identified loci and identifies population-specific signals. Sci Rep 2017; 7:17075. [PMID: 29213071 PMCID: PMC5719082 DOI: 10.1038/s41598-017-17136-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 11/21/2017] [Indexed: 01/08/2023] Open
Abstract
QT interval prolongation is a heritable risk factor for ventricular arrhythmias and can predispose to sudden death. Most genome-wide association studies (GWAS) of QT were performed in European ancestral populations, leaving other groups uncharacterized. Herein we present the first QT GWAS of Hispanic/Latinos using data on 15,997 participants from four studies. Study-specific summary results of the association between 1000 Genomes Project (1000G) imputed SNPs and electrocardiographically measured QT were combined using fixed-effects meta-analysis. We identified 41 genome-wide significant SNPs that mapped to 13 previously identified QT loci. Conditional analyses distinguished six secondary signals at NOS1AP (n = 2), ATP1B1 (n = 2), SCN5A (n = 1), and KCNQ1 (n = 1). Comparison of linkage disequilibrium patterns between the 13 lead SNPs and six secondary signals with previously reported index SNPs in 1000G super populations suggested that the SCN5A and KCNE1 lead SNPs were potentially novel and population-specific. Finally, of the 42 suggestively associated loci, AJAP1 was suggestively associated with QT in a prior East Asian GWAS; in contrast BVES and CAP2 murine knockouts caused cardiac conduction defects. Our results indicate that whereas the same loci influence QT across populations, population-specific variation exists, motivating future trans-ethnic and ancestrally diverse QT GWAS.
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Affiliation(s)
| | | | - Jennifer E Below
- The Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Amanda A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Division of Epidemiology and Community, University of Minnesota, Minneapolis, MN, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elsayed Z Soliman
- Department of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Epidemiological Cardio Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kathleen F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Kelli K Ryckman
- Departments of Epidemiology and Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lauren E Petty
- Human Genetics Center, University of Texas, Health Science Center at Houston, Houston, TX, USA.,Center for Precision Medicine, University of Texas, Health Science Center at Houston, Houston, TX, USA
| | - Sanjiv J Shah
- Division of Cardiology, Bluhm Cardiovascular Institute, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.,Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Susan Cheng
- Brigham and Women's Hospital, Division of Cardiovascular Medicine, Boston, MA, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, WA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.,Division of Medical Genetics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Craig L Hanis
- Human Genetics Center, University of Texas, Health Science Center at Houston, Houston, TX, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA. .,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.
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12
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A Comparison of Heritability Estimates by Classical Twin Modeling and Based on Genome-Wide Genetic Relatedness for Cardiac Conduction Traits. Twin Res Hum Genet 2017; 20:489-498. [PMID: 29039294 DOI: 10.1017/thg.2017.55] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Twin studies have found that ~50% of variance in electrocardiogram (ECG) traits can be explained by genetic factors. However, genetic variants identified through genome-wide association studies explain less than 10% of the total trait variability. Some have argued that the equal environment assumption for the classical twin model might be invalid, resulting in inflated narrow-sense heritability (h 2) estimates, thus explaining part of the 'missing h 2'. Genomic relatedness restricted maximum likelihood (GREML) estimation overcomes this issue. This method uses both family data and genome-wide coverage of common SNPs to determine the degree of relatedness between individuals to estimate both h 2 explained by common SNPs and total h 2. The aim of the current study is to characterize more reliably than previously possible ECG trait h 2 using GREML estimation, and to compare these outcomes to those of the classical twin model. We analyzed ECG traits (heart rate, PR interval, QRS duration, RV5+SV1, QTc interval, Sokolow-Lyon product, and Cornell product) in up to 3,133 twins from the TwinsUK cohort and derived h 2 estimates by both methods. GREML yielded h 2 estimates between 47% and 68%. Classical twin modeling provided similar h 2 estimates, except for the Cornell product, for which the best fit included no genetic factors. We found no evidence that the classical twin model leads to inflated h 2 estimates. Therefore, our study confirms the validity of the equal environment assumption for monozygotic and dizygotic twins and supports the robust basis for future studies exploring genetic variants responsible for the variance of ECG traits.
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13
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Avery CL, Wassel CL, Richard MA, Highland HM, Bien S, Zubair N, Soliman EZ, Fornage M, Bielinski SJ, Tao R, Seyerle AA, Shah SJ, Lloyd-Jones DM, Buyske S, Rotter JI, Post WS, Rich SS, Hindorff LA, Jeff JM, Shohet RV, Sotoodehnia N, Lin DY, Whitsel EA, Peters U, Haiman CA, Crawford DC, Kooperberg C, North KE. Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations. Heart Rhythm 2017; 14:572-580. [PMID: 27988371 PMCID: PMC5448160 DOI: 10.1016/j.hrthm.2016.12.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND The electrocardiographically measured QT interval (QT) is heritable and its prolongation is an established risk factor for several cardiovascular diseases. Yet, most QT genetic studies have been performed in European ancestral populations, possibly reducing their global relevance. OBJECTIVE To leverage diversity and improve biological insight, we fine mapped 16 of the 35 previously identified QT loci (46%) in populations of African American (n = 12,410) and Hispanic/Latino (n = 14,837) ancestry. METHODS Racial/ethnic-specific multiple linear regression analyses adjusted for heart rate and clinical covariates were examined separately and in combination after inverse-variance weighted trans-ethnic meta-analysis. RESULTS The 16 fine-mapped QT loci included on the Illumina Metabochip represented 21 independent signals, of which 16 (76%) were significantly (P-value≤9.1×10-5) associated with QT. Through sequential conditional analysis we also identified three trans-ethnic novel SNPs at ATP1B1, SCN5A-SCN10A, and KCNQ1 and three Hispanic/Latino-specific novel SNPs at NOS1AP and SCN5A-SCN10A (two novel SNPs) with evidence of associations with QT independent of previous identified GWAS lead SNPs. Linkage disequilibrium patterns helped to narrow the region likely to contain the functional variants at several loci, including NOS1AP, USP50-TRPM7, and PRKCA, although intervals surrounding SLC35F1-PLN and CNOT1 remained broad in size (>100 kb). Finally, bioinformatics-based functional characterization suggested a regulatory function in cardiac tissues for the majority of independent signals that generalized and the novel SNPs. CONCLUSION Our findings suggest that a majority of identified SNPs implicate gene regulatory dysfunction in QT prolongation, that the same loci influence variation in QT across global populations, and that additional, novel, population-specific QT signals exist.
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Affiliation(s)
| | - Christina L Wassel
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Vermont, Burlington, Vermont
| | - Melissa A Richard
- Institute of Molecular Medicine and; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | | | - Stephanie Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Niha Zubair
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Elsayed Z Soliman
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center and; Department of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Myriam Fornage
- Institute of Molecular Medicine and; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | | | - Sanjiv J Shah
- Department of Preventive Medicine and; Department of Medicine, Northwestern University Feinberg School of Medicine and
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine and; Department of Medicine, Northwestern University Feinberg School of Medicine and
| | - Steven Buyske
- Department of Statistics and Biostatistics and; Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California
| | - Wendy S Post
- Department of Medicine and; Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Lucia A Hindorff
- National Institutes of Health, National Human Genome Research Institute, Office of Population Genomics, Bethesda, Maryland
| | - Janina M Jeff
- Genetics and Genomic Sciences, The Charles Bronfman Institute for Personalized Medicine, The Center for Statistical Genetics, and The Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ralph V Shohet
- Center for Cardiovascular Research, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, Washington
| | | | | | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and; Norris Comprehensive Cancer Center, University of Southern California, Pasadena, California
| | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Kari E North
- Department of Epidemiology; Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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14
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Caso E, Maestro A, Sabiers CC, Godino M, Caracuel Z, Pons J, Gonzalez FJ, Bautista R, Claros MG, Caso-Onzain J, Viejo-Allende E, Giannoudis PV, Alvarez S, Maietta P, Guerado E. Whole-exome sequencing analysis in twin sibling males with an anterior cruciate ligament rupture. Injury 2016; 47 Suppl 3:S41-S50. [PMID: 27692106 DOI: 10.1016/s0020-1383(16)30605-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Familial predisposition is among the major genetic risk factors for non-contact musculoskeletal tissue injuries. Personal genome sequence shows that different polymorphism profiles may account for the number and the degree of injuries and the recovery time. Genotyping studies allow investigation into genome factors with potential impact on pathogenesis of non-contact ligament injuries. We have studied a family with twin sibling males surgically diagnosed of an anterior cruciate ligament non-contact rupture and non-affected progenitors (father and mother) were subjected to whole exome sequencing (WES) analysis. WES analysis previously carried out on 16 individuals, without ACL injury medical records, were also included in this study for single nucleotide variants (SNVs) and small insertions and deletions detection (indels), variant filtering and to prioritize variants relative to the disease. WES analysis to identify SNVs and indels was performed using open web-based bioinformatics tools. A set of 11 new variants shared by family members can be associated to ACL non-contact injury, including SerpinA11, ARSI, NOCHT4, EPB41, FDFT1, POMC, KIF26A, OLFML2B, ATG7, FAH and WDR6. All of them, except ATG7 and WDR6, have shown a damaging predictive pattern by combinatorial standard predictive scores. In combination to the identified SNVs of EPB41 and SerpinA11 genes, ACTL7A gene showed a predicted deleterious variant reinforcing the idea these variants impact on of fibroblast-like cells deformability and ECM misbalance, Differential gene expression and RNA sequencing analysis will help to understand the combined participation of these protein coding genes in ACL non-contact injuries.
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Affiliation(s)
- Enrique Caso
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain.
| | - Antonio Maestro
- Department of Orthopaedic Surgery, FREMAP, Gijon, Asturias, Spain
| | - Cristina C Sabiers
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Manuel Godino
- Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Zaira Caracuel
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Joana Pons
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - F Jesus Gonzalez
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Rocio Bautista
- Supercomputing and Bioinnovating Centre (SCBI), University of Malaga, Malaga, Spain
| | - M Gonzalo Claros
- Supercomputing and Bioinnovating Centre (SCBI), University of Malaga, Malaga, Spain
| | - Jaime Caso-Onzain
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Elena Viejo-Allende
- Research & Development Unit, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
| | - Peter V Giannoudis
- Academic Department of Trauma & Orthopaedic Surgery, University of Leeds, NIHR Leeds Biomedical Research Unit, Chapel Allerton Hospital, Leeds, UK
| | | | | | - Enrique Guerado
- Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Costa del Sol, University of Malaga, Marbella, Malaga, Spain
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15
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Heritabilities, proportions of heritabilities explained by GWAS findings, and implications of cross-phenotype effects on PR interval. Hum Genet 2015; 134:1211-9. [PMID: 26385552 PMCID: PMC4628620 DOI: 10.1007/s00439-015-1595-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 08/21/2015] [Indexed: 12/04/2022]
Abstract
Electrocardiogram (ECG) measurements are a powerful tool for evaluating cardiac function and are widely used for the diagnosis and prediction of a variety of conditions, including myocardial infarction, cardiac arrhythmias, and sudden cardiac death. Recently, genome-wide association studies (GWASs) identified a large number of genes related to ECG parameter variability, specifically for the QT, QRS, and PR intervals. The aims of this study were to establish the heritability of ECG traits, including indices of left ventricular hypertrophy, and to directly assess the proportion of those heritabilities explained by GWAS variants. These analyses were conducted in a large, Dutch family-based cohort study, the Erasmus Rucphen Family study using variance component methods implemented in the SOLAR (Sequential Oligogenic Linkage Analysis Routines) software package. Heritability estimates ranged from 34 % for QRS and Cornell voltage product to 49 % for 12-lead sum. Trait-specific GWAS findings for each trait explained a fraction of their heritability (17 % for QRS, 4 % for QT, 2 % for PR, 3 % for Sokolow–Lyon index, and 4 % for 12-lead sum). The inclusion of all ECG-associated single nucleotide polymorphisms explained an additional 6 % of the heritability of PR. In conclusion, this study shows that, although GWAS explain a portion of ECG trait variability, a large amount of heritability remains to be explained. In addition, larger GWAS for PR are likely to detect loci already identified, particularly those observed for QRS and 12-lead sum.
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16
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Increase of Heart Rate and QTc by Amitriptyline, But Not by Venlafaxine, Is Correlated to Serum Concentration. J Clin Psychopharmacol 2015; 35:460-3. [PMID: 26035054 DOI: 10.1097/jcp.0000000000000336] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Electrocardiographic pathologies are a common problem during antidepressant treatment. The authors investigated the association of serum concentrations of antidepressants and heart rate, QT, and QTc. Polymorphisms of NOS1AP (nitric oxide synthase 1 adaptor protein) rs10494366 and rs12143842 as potential influence factors also were considered. In the amitriptyline sample (n = 59), significant Spearman ρ correlations were found between serum concentration and QTc (r = 0.333, P = 0.010), as well as heart rate (r = 0.407, P = 0.001). Patients with a serum concentration greater than the therapeutic range (>200 ng/mL) exhibit significantly higher heart rates (87.0 ± 13.3 vs 80.0 ± 13.9, U test P = 0.011) and higher QTc values (443.8 ± 28.8 vs 427.9 ± 20.6, U test P = 0.022). Excluding the 26 patients with a serum concentration greater than the therapeutic range, patients with rs12143842 risk alleles exhibit higher heart rates and as a trend lower QT intervals with no difference in QTc. In the venlafaxine sample (n = 81), no significant association between serum concentration and heart rate, QT, or QTc was revealed. In summary, the risk for relevant electrocardiographic alterations induced by tricyclic antidepressants, such as amitriptyline, is dependent on serum concentrations. NOS1AP polymorphisms may be a genetic vulnerability factor.
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17
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Laston SL, Voruganti VS, Haack K, Shah VO, Bobelu A, Bobelu J, Ghahate D, Harford AM, Paine SS, Tentori F, Cole SA, MacCluer JW, Comuzzie AG, Zager PG. Genetics of kidney disease and related cardiometabolic phenotypes in Zuni Indians: the Zuni Kidney Project. Front Genet 2015; 6:6. [PMID: 25688259 PMCID: PMC4311707 DOI: 10.3389/fgene.2015.00006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 01/08/2015] [Indexed: 12/31/2022] Open
Abstract
The objective of this study is to identify genetic factors associated with chronic kidney disease (CKD) and related cardiometabolic phenotypes among participants of the Genetics of Kidney Disease in Zuni Indians study. The study was conducted as a community-based participatory research project in the Zuni Indians, a small endogamous tribe in rural New Mexico. We recruited 998 members from 28 extended multigenerational families, ascertained through probands with CKD who had at least one sibling with CKD. We used the Illumina Infinium Human1M-Duo version 3.0 BeadChips to type 1.1 million single nucleotide polymorphisms (SNPs). Prevalence estimates for CKD, hyperuricemia, diabetes, and hypertension were 24%, 30%, 17% and 34%, respectively. We found a significant (p < 1.58 × 10-7) association for a SNP in a novel gene for serum creatinine (PTPLAD2). We replicated significant associations for genes with serum uric acid (SLC2A9), triglyceride levels (APOA1, BUD13, ZNF259), and total cholesterol (PVRL2). We found novel suggestive associations (p < 1.58 × 10-6) for SNPs in genes with systolic (OLFML2B), and diastolic blood pressure (NFIA). We identified a series of genes associated with CKD and related cardiometabolic phenotypes among Zuni Indians, a population with a high prevalence of kidney disease. Illuminating genetic variations that modulate the risk for these disorders may ultimately provide a basis for novel preventive strategies and therapeutic interventions.
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Affiliation(s)
- Sandra L Laston
- South Texas Diabetes and Obesity Institute, Regional Academic Health Center, University of Texas at San Antonio Harlingen, TX, USA
| | - V Saroja Voruganti
- Department of Nutrition, University of North Carolina at Chapel Hill Kannapolis, NC, USA ; University of North Carolina Nutrition Research Institute, University of North Carolina at Chapel Hill Kannapolis, NC, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Vallabh O Shah
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Arlene Bobelu
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Jeanette Bobelu
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Donica Ghahate
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Antonia M Harford
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | | | | | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Jean W MacCluer
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Southwest National Primate Research Center San Antonio, TX, USA
| | - Philip G Zager
- Dialysis Clinic, Inc., Albuquerque, NM USA ; Department of Medicine, Division of Nephrology, University of New Mexico School of Medicine Albuquerque, NM, USA
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18
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Petropoulou E, Jamshidi Y, Behr ER. The genetics of pro-arrhythmic adverse drug reactions. Br J Clin Pharmacol 2014; 77:618-25. [PMID: 23834499 DOI: 10.1111/bcp.12208] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 06/26/2013] [Indexed: 12/19/2022] Open
Abstract
Ventricular arrhythmia induced by drugs (pro-arrythmia) is an uncommon event, whose occurrence is unpredictable but potentially fatal. The ability of a variety of medications to induce these arrhythmias is a significant problem facing the pharmaceutical industry. Genetic variants have been shown to play a role in adverse events and are also known to influence an individual's optimal drug dose. This review provides an overview of the current understanding of the role of genetic variants in modulating the risk of drug induced arrhythmias.
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Affiliation(s)
- Evmorfia Petropoulou
- Human Genetics Research Centre, Division of Biomedical Sciences, St George's Hospital Medical School, London, SW17 0RE, UK
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19
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Sano M, Kamitsuji S, Kamatani N, Hong KW, Han BG, Kim Y, Kim JW, Aizawa Y, Fukuda K. Genome-wide association study of electrocardiographic parameters identifies a new association for PR interval and confirms previously reported associations. Hum Mol Genet 2014; 23:6668-76. [PMID: 25055868 DOI: 10.1093/hmg/ddu375] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Previous reports have described several associations of PR, QRS, QT and heart rate with genomic variations by genome-wide association studies (GWASs). In the present study, we examined the association of ∼2.5 million SNPs from 2994 Japanese healthy volunteers obtained from the JPDSC database with electrocardiographic parameters. We confirmed associations of PR interval, QRS duration and QT interval in individuals of Japanese ancestry with 11 of the 45 SNPs (6 of 20 for QT, 5 of 19 for PR and 0 of 6 for QRS) observed among individuals of European, African and Asian (Indian and Korean) ancestries. Those results indicate that many of the electrocardiographic associations with genes are shared by different ethnic groups including Japanese. Possible novel associations found in this study were validated by Korean data. As a result, we identified a novel association of SNP rs4952632[G] (maps near SLC8A1, sodium-calcium exchanger) (P = 7.595 × 10(-6)) with PR interval in Japanese individuals, and replication testing among Koreans confirmed the association of the same SNP with prolonged PR interval. Meta-analysis of the Japanese and Korean datasets demonstrated highly significant associations of SNP rs4952632[G] with a 2.325-ms (95% CI, 1.693-2.957 ms) longer PR interval per minor allele copy (P = 5.598 × 10(-13)). Cell-type-specific SLC8A1 knockout mice have demonstrated a regulatory role of sodium-calcium exchanger in automaticity and conduction in sinoatrial node, atrium and atrioventricular node. Our findings support a functional role of sodium-calcium exchanger in human atrial and atrioventricular nodal conduction as suggested by genetically modified mouse models.
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Affiliation(s)
- Motoaki Sano
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan,
| | | | | | - Kyung-Won Hong
- Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongwon 363-951, Korea and
| | - Bok-Ghee Han
- Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongwon 363-951, Korea and
| | - Yeonjung Kim
- Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongwon 363-951, Korea and
| | - Jong Wook Kim
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Yoshiyasu Aizawa
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Keiichi Fukuda
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
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20
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Arking DE, Pulit SL, Crotti L, van der Harst P, Munroe PB, Koopmann TT, Sotoodehnia N, Rossin EJ, Morley M, Wang X, Johnson AD, Lundby A, Gudbjartsson DF, Noseworthy PA, Eijgelsheim M, Bradford Y, Tarasov KV, Dörr M, Müller-Nurasyid M, Lahtinen AM, Nolte IM, Smith AV, Bis JC, Isaacs A, Newhouse SJ, Evans DS, Post WS, Waggott D, Lyytikäinen LP, Hicks AA, Eisele L, Ellinghaus D, Hayward C, Navarro P, Ulivi S, Tanaka T, Tester DJ, Chatel S, Gustafsson S, Kumari M, Morris RW, Naluai ÅT, Padmanabhan S, Kluttig A, Strohmer B, Panayiotou AG, Torres M, Knoflach M, Hubacek JA, Slowikowski K, Raychaudhuri S, Kumar RD, Harris TB, Launer LJ, Shuldiner AR, Alonso A, Bader JS, Ehret G, Huang H, Kao WHL, Strait JB, Macfarlane PW, Brown M, Caulfield MJ, Samani NJ, Kronenberg F, Willeit J, Smith JG, Greiser KH, Meyer Zu Schwabedissen H, Werdan K, Carella M, Zelante L, Heckbert SR, Psaty BM, Rotter JI, Kolcic I, Polašek O, Wright AF, Griffin M, Daly MJ, Arnar DO, Hólm H, Thorsteinsdottir U, Denny JC, Roden DM, Zuvich RL, Emilsson V, Plump AS, Larson MG, O'Donnell CJ, Yin X, Bobbo M, D'Adamo AP, Iorio A, Sinagra G, Carracedo A, Cummings SR, Nalls MA, Jula A, Kontula KK, Marjamaa A, Oikarinen L, Perola M, Porthan K, Erbel R, Hoffmann P, Jöckel KH, Kälsch H, Nöthen MM, den Hoed M, Loos RJF, Thelle DS, Gieger C, Meitinger T, Perz S, Peters A, Prucha H, Sinner MF, Waldenberger M, de Boer RA, Franke L, van der Vleuten PA, Beckmann BM, Martens E, Bardai A, Hofman N, Wilde AAM, Behr ER, Dalageorgou C, Giudicessi JR, Medeiros-Domingo A, Barc J, Kyndt F, Probst V, Ghidoni A, Insolia R, Hamilton RM, Scherer SW, Brandimarto J, Margulies K, Moravec CE, del Greco M F, Fuchsberger C, O'Connell JR, Lee WK, Watt GCM, Campbell H, Wild SH, El Mokhtari NE, Frey N, Asselbergs FW, Mateo Leach I, Navis G, van den Berg MP, van Veldhuisen DJ, Kellis M, Krijthe BP, Franco OH, Hofman A, Kors JA, Uitterlinden AG, Witteman JCM, Kedenko L, Lamina C, Oostra BA, Abecasis GR, Lakatta EG, Mulas A, Orrú M, Schlessinger D, Uda M, Markus MRP, Völker U, Snieder H, Spector TD, Ärnlöv J, Lind L, Sundström J, Syvänen AC, Kivimaki M, Kähönen M, Mononen N, Raitakari OT, Viikari JS, Adamkova V, Kiechl S, Brion M, Nicolaides AN, Paulweber B, Haerting J, Dominiczak AF, Nyberg F, Whincup PH, Hingorani AD, Schott JJ, Bezzina CR, Ingelsson E, Ferrucci L, Gasparini P, Wilson JF, Rudan I, Franke A, Mühleisen TW, Pramstaller PP, Lehtimäki TJ, Paterson AD, Parsa A, Liu Y, van Duijn CM, Siscovick DS, Gudnason V, Jamshidi Y, Salomaa V, Felix SB, Sanna S, Ritchie MD, Stricker BH, Stefansson K, Boyer LA, Cappola TP, Olsen JV, Lage K, Schwartz PJ, Kääb S, Chakravarti A, Ackerman MJ, Pfeufer A, de Bakker PIW, Newton-Cheh C. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization. Nat Genet 2014; 46:826-36. [PMID: 24952745 PMCID: PMC4124521 DOI: 10.1038/ng.3014] [Citation(s) in RCA: 221] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Accepted: 05/29/2014] [Indexed: 02/07/2023]
Abstract
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal Mendelian Long QT Syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals we identified 35 common variant QT interval loci, that collectively explain ∼8-10% of QT variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 novel QT loci in 298 unrelated LQTS probands identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode for proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies novel candidate genes for ventricular arrhythmias, LQTS,and SCD.
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Affiliation(s)
- Dan E Arking
- 1] Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2]
| | - Sara L Pulit
- 1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA. [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [3] Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands. [4]
| | - Lia Crotti
- 1] Department of Molecular Medicine, Section of Cardiology, University of Pavia, Pavia, Italy. [2] Center for Cardiac Arrhythmias of Genetic Origin, Istituto di Ricerca e Cura a Carattere Scientifico Istituto Auxologico Italiano, Milan, Italy. [3] Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Pim van der Harst
- 1] Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. [2] Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Patricia B Munroe
- 1] Clinical Pharmacology, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, UK. [2] Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, UK
| | - Tamara T Koopmann
- Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Nona Sotoodehnia
- 1] Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA. [2] Cardiology Division, University of Washington, Seattle, Washington, USA
| | - Elizabeth J Rossin
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Morley
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Xinchen Wang
- 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. [3] Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Andrew D Johnson
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts, USA
| | - Alicia Lundby
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. [3] The Danish National Research Foundation Centre for Cardiac Arrhythmia, University of Copenhagen, Copenhagen, Denmark
| | | | - Peter A Noseworthy
- 1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA. [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [3] Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Yuki Bradford
- Center for Human Genetics Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Kirill V Tarasov
- Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Marcus Dörr
- 1] Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany. [2] DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Martina Müller-Nurasyid
- 1] Department of Medicine I, University Hospital Munich, Ludwig Maximilians Universität, Munich, Germany. [2] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians Universität, Munich, Germany. [3] Institute of Genetic Epidemiology, Helmholtz Zentrum Munich-German Research Center for Environmental Health, Neuherberg, Germany. [4] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig Maximilians Universität, Munich, Germany. [5] DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Annukka M Lahtinen
- 1] Research Programs Unit, Molecular Medicine, University of Helsinki, Helsinki, Finland. [2] Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albert Vernon Smith
- 1] Icelandic Heart Association, Kopavogur, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stephen J Newhouse
- Clinical Pharmacology, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, UK
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Wendy S Post
- 1] Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Daryl Waggott
- Informatics and Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Andrew A Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany)
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - Caroline Hayward
- Medical Research Council (MRC) Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Pau Navarro
- Medical Research Council (MRC) Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Sheila Ulivi
- Institute for Maternal and Child Health, "Burlo Garofolo" Trieste, Trieste, Italy
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - David J Tester
- 1] Department of Pediatrics, Division of Pediatric Cardiology, Mayo Clinic, Rochester, Minnesota, USA. [2] Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Stéphanie Chatel
- 1] Institut du Thorax, Centre Hospitalier Universitaire de Nantes, Université de Nantes, Nantes, France. [2] Institut du Thorax, INSERM UMR1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Stefan Gustafsson
- 1] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Meena Kumari
- Institute of Cardiovascular Science, University College London, London, UK
| | - Richard W Morris
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, UK
| | - Åsa T Naluai
- 1] Department of Medical and Clinical Genetics, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden. [2] Biobanking and Molecular Resource Infrastructure of Sweden (BBMRI), Gothenburg, Sweden
| | - Sandosh Padmanabhan
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Bernhard Strohmer
- Second Department of Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Andrie G Panayiotou
- 1] Cyprus International Institute for Environmental and Public Health in association with the Harvard School of Public Health, Cyprus University of Technology, Limassol, Cyprus. [2] Cyprus Cardiovascular and Educational Research Trust, Nicosia, Cyprus
| | - Maria Torres
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado, Centro de Investigación Biomédica en Red de Enfermedades Raras, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Michael Knoflach
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Jaroslav A Hubacek
- Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Kamil Slowikowski
- 1] Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. [2] Harvard Bioinformatics and Integrative Genomics, Boston, Massachusetts, USA
| | - Soumya Raychaudhuri
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. [3] Partners HealthCare Center for Personalized Genetic Medicine, Boston, Massachusetts, USA. [4] Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA. [5] Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - Runjun D Kumar
- 1] Computational and Systems Biology Program, Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri, USA. [2] Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Alan R Shuldiner
- 1] Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. [2] Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, Maryland, USA. [3] Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, USA
| | - Alvaro Alonso
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Joel S Bader
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hailiang Huang
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - James B Strait
- 1] Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA. [2] Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Peter W Macfarlane
- Electrocardiology, University of Glasgow Institute of Cardiovascular and Medical Sciences, Royal Infirmary, Glasgow, UK
| | - Morris Brown
- Clinical Pharmacology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Mark J Caulfield
- Clinical Pharmacology, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London, UK
| | - Nilesh J Samani
- Department of Cardiovascular Science, University of Leicester, Glenfield Hospital, Leicester, UK
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | | | | | - J Gustav Smith
- 1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA. [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [3] Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA. [4] Department of Cardiology, Lund University, Lund, Sweden
| | - Karin H Greiser
- 1] Institute of Medical Epidemiology, Biostatistics and Informatics, Martin Luther University Halle-Wittenberg, Halle, Germany. [2] Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | | | - Karl Werdan
- Department of Medicine III, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Massimo Carella
- Medical Genetics Unit, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Leopoldo Zelante
- Medical Genetics Unit, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Susan R Heckbert
- 1] Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA. [2] Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Bruce M Psaty
- 1] Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA. [2] Department of Epidemiology, University of Washington, Seattle, Washington, USA. [3] Department of Health Services, University of Washington, Seattle, Washington, USA. [4] Group Health Research Institute, Group Health Cooperative, Seattle, Washington, USA. [5] Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California, Los Angeles (UCLA) Medical Center, Torrance, California, USA
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Ozren Polašek
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Alan F Wright
- Medical Research Council (MRC) Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Maura Griffin
- Vascular Screening and Diagnostic Centre, London, UK
| | - Mark J Daly
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - David O Arnar
- Department of Medicine, Division of Cardiology, Landspitali University Hospital, Reykjavik, Iceland
| | | | | | | | - Joshua C Denny
- 1] Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA. [2] Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Dan M Roden
- 1] Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA. [2] Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, USA. [3] Office of Personalized Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Rebecca L Zuvich
- Center for Human Genetics Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | | | - Martin G Larson
- 1] National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts, USA. [2] Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA. [3] Department of Mathematics and Statistics, Boston University, Boston, Massachusetts, USA
| | - Christopher J O'Donnell
- 1] National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts, USA. [2] Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Xiaoyan Yin
- 1] National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts, USA. [2] Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Marco Bobbo
- Cardiovascular Department, Ospedali Riuniti and University of Trieste, Trieste, Italy
| | - Adamo P D'Adamo
- 1] Institute for Maternal and Child Health, "Burlo Garofolo" Trieste, Trieste, Italy. [2] Clinical Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Annamaria Iorio
- Cardiovascular Department, Ospedali Riuniti and University of Trieste, Trieste, Italy
| | - Gianfranco Sinagra
- Cardiovascular Department, Ospedali Riuniti and University of Trieste, Trieste, Italy
| | - Angel Carracedo
- 1] Grupo de Medicina Xenómica, Centro Nacional de Genotipado, Centro de Investigación Biomédica en Red de Enfermedades Raras, Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [2] Fundación Publica Galega de Medicina Xenómica, Servicio Galego de Saude, Santiago de Compostela, Spain. [3] Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Antti Jula
- Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Kimmo K Kontula
- Department of Medicine, University of Helsinki, Helsinki, Finland
| | - Annukka Marjamaa
- 1] Research Programs Unit, Molecular Medicine, University of Helsinki, Helsinki, Finland. [2] Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - Lasse Oikarinen
- Department of Medicine, Division of Cardiology, Helsinki University Central Hospital, Helsinki, Finland
| | - Markus Perola
- 1] Public Health Genomics Unit, National Institute for Health and Welfare, Helsinki, Finland. [2] Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. [3] Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Kimmo Porthan
- Department of Medicine, Division of Cardiology, Helsinki University Central Hospital, Helsinki, Finland
| | - Raimund Erbel
- Department of Cardiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Per Hoffmann
- 1] Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany. [2] Institute of Human Genetics, University of Bonn, Bonn, Germany. [3] Division of Medical Genetics, University Hospital Basel, Basel, Switzerland. [4] Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Hagen Kälsch
- Department of Cardiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Markus M Nöthen
- 1] Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany. [2] Institute of Human Genetics, University of Bonn, Bonn, Germany
| | | | - Marcel den Hoed
- 1] Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Ruth J F Loos
- 1] MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. [2] Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA. [3] Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dag S Thelle
- 1] Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway. [2] Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum Munich-German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- 1] DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany. [2] Institute of Human Genetics, Technische Universität München, Munich, Germany. [3] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Siegfried Perz
- Institute for Biological and Medical Imaging, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- 1] DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany. [2] Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Hanna Prucha
- 1] Christine Kühne-Center for Allergy and Education, Munich, Germany. [2] Department of Dermatology and Allergy, Technische Universität München, Munich, Germany
| | - Moritz F Sinner
- Department of Medicine I, University Hospital Munich, Ludwig Maximilians Universität, Munich, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Rudolf A de Boer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pieter A van der Vleuten
- 1] Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. [2] Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Britt Maria Beckmann
- Department of Medicine I, University Hospital Munich, Ludwig Maximilians Universität, Munich, Germany
| | - Eimo Martens
- 1] Department of Medicine I, University Hospital Munich, Ludwig Maximilians Universität, Munich, Germany. [2] Department of Medicine, Hospital of Friedberg, Friedberg, Germany
| | - Abdennasser Bardai
- Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Nynke Hofman
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, The Netherlands
| | - Arthur A M Wilde
- 1] Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, The Netherlands. [2] Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders, Jeddah, Saudi Arabia
| | - Elijah R Behr
- Cardiovascular and Cell Sciences Institute, St George's University of London, London, UK
| | | | - John R Giudicessi
- Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Argelia Medeiros-Domingo
- Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Julien Barc
- Institut du Thorax, INSERM UMR1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Florence Kyndt
- 1] Institut du Thorax, Centre Hospitalier Universitaire de Nantes, Université de Nantes, Nantes, France. [2] Institut du Thorax, INSERM UMR1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Vincent Probst
- 1] Institut du Thorax, Centre Hospitalier Universitaire de Nantes, Université de Nantes, Nantes, France. [2] Institut du Thorax, INSERM UMR1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Alice Ghidoni
- 1] Department of Molecular Medicine, Section of Cardiology, University of Pavia, Pavia, Italy. [2] Center for Cardiac Arrhythmias of Genetic Origin, Istituto di Ricerca e Cura a Carattere Scientifico Istituto Auxologico Italiano, Milan, Italy
| | - Roberto Insolia
- 1] Department of Molecular Medicine, Section of Cardiology, University of Pavia, Pavia, Italy. [2] Center for Cardiac Arrhythmias of Genetic Origin, Istituto di Ricerca e Cura a Carattere Scientifico Istituto Auxologico Italiano, Milan, Italy
| | - Robert M Hamilton
- 1] The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada. [2] Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jeffrey Brandimarto
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kenneth Margulies
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christine E Moravec
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Fabiola del Greco M
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany)
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Jeffrey R O'Connell
- 1] Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. [2] Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, Maryland, USA
| | - Wai K Lee
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Graham C M Watt
- General Practice and Primary Care, University of Glasgow, Glasgow, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Sarah H Wild
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Nour E El Mokhtari
- Biobank PopGen, Institute of Experimental Medicine, Christian Albrechts University of Kiel, Kiel, Germany
| | - Norbert Frey
- Department of Internal Medicine III, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Folkert W Asselbergs
- 1] Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of The Netherlands-Netherlands Heart Institute, Utrecht, The Netherlands. [2] Department of Cardiology, Division of Heart and Lungs, University Medical Centre Utrecht, Utrecht, The Netherlands. [3] Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Irene Mateo Leach
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gerjan Navis
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Maarten P van den Berg
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dirk J van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Manolis Kellis
- 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Bouwe P Krijthe
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - Oscar H Franco
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - Albert Hofman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - Jan A Kors
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands. [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jacqueline C M Witteman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - Lyudmyla Kedenko
- First Department of Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Claudia Lamina
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Ben A Oostra
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Gonçalo R Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Edward G Lakatta
- Laboratory of Cardiovascular Sciences, Human Cardiovascular Studies Unit, National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy
| | - Marco Orrú
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy
| | - David Schlessinger
- Laboratory of Genetics, Intramural Research Program, National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Manuela Uda
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy
| | - Marcello R P Markus
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- 1] DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Interfaculty Institute for Genetics and Functional Genomics, Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Johan Ärnlöv
- 1] Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] School of Health and Social Sciences, Dalarna University, Falun, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Mika Kivimaki
- Institute of Cardiovascular Science, University College London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Olli T Raitakari
- 1] Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland. [2] Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Jorma S Viikari
- Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Vera Adamkova
- Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Stefan Kiechl
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Maria Brion
- 1] Grupo de Medicina Xenómica, Centro Nacional de Genotipado, Centro de Investigación Biomédica en Red de Enfermedades Raras, Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [2] Xenética de Enfermidades Cardiovasculares e Oftalmolóxicas, Complexo Hospitalario Universitario de Santiago de Compostela, Servicio Galego de Saude, Santiago de Compostela, Spain
| | - Andrew N Nicolaides
- 1] Cyprus Cardiovascular and Educational Research Trust, Nicosia, Cyprus. [2] Vascular Screening and Diagnostic Centre, London, UK
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Salzburg, Austria
| | - Johannes Haerting
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Anna F Dominiczak
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Fredrik Nyberg
- 1] Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. [2] Global Epidemiology, AstraZeneca Research and Development, Mölndal, Sweden
| | - Peter H Whincup
- Division of Population Health Sciences and Education, St George's University of London, London, UK
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, London, UK
| | - Jean-Jacques Schott
- 1] Institut du Thorax, Centre Hospitalier Universitaire de Nantes, Université de Nantes, Nantes, France. [2] Institut du Thorax, INSERM UMR1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Connie R Bezzina
- Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Erik Ingelsson
- 1] Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Paolo Gasparini
- 1] Institute for Maternal and Child Health, "Burlo Garofolo" Trieste, Trieste, Italy. [2] Clinical Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - James F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - Thomas W Mühleisen
- 1] Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany. [2] Institute of Human Genetics, University of Bonn, Bonn, Germany. [3] Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organization of the Brain, Genomic Imaging, Research Centre Juelich, Juelich, Germany
| | - Peter P Pramstaller
- 1] Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany). [2] Department of Neurology, University of Lübeck, Lübeck, Germany. [3] Department of Neurology, General Central Hospital, Bolzano, Italy
| | - Terho J Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Andrew D Paterson
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Afshin Parsa
- 1] Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. [2] Program for Personalized and Genomic Medicine, University of Maryland, Baltimore, Maryland, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina, USA
| | | | - David S Siscovick
- 1] Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA. [2] Department of Epidemiology, University of Washington, Seattle, Washington, USA. [3] Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Vilmundur Gudnason
- 1] Icelandic Heart Association, Kopavogur, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Yalda Jamshidi
- Human Genetics Research Centre, St George's University of London, London, UK
| | - Veikko Salomaa
- Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Stephan B Felix
- 1] Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany. [2] DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy
| | - Marylyn D Ritchie
- Center for Systems Genomics, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Bruno H Stricker
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands. [3] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands. [4] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands. [5] Inspectorate of Health Care, The Hague, The Netherlands
| | - Kari Stefansson
- 1] deCODE genetics, Reykjavik, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Laurie A Boyer
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Thomas P Cappola
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kasper Lage
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [2] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA. [3] Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. [4] Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark. [5] Pediatric Surgical Research Laboratories, MassGeneral Hospital for Children, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Peter J Schwartz
- Center for Cardiac Arrhythmias of Genetic Origin, Istituto di Ricerca e Cura a Carattere Scientifico Istituto Auxologico Italiano, Milan, Italy
| | - Stefan Kääb
- 1] Department of Medicine I, University Hospital Munich, Ludwig Maximilians Universität, Munich, Germany. [2] DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael J Ackerman
- 1] Department of Pediatrics, Division of Pediatric Cardiology, Mayo Clinic, Rochester, Minnesota, USA. [2] Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA. [3] Department of Medicine, Division of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA. [4]
| | - Arne Pfeufer
- 1] Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany). [2] Institute of Human Genetics, Technische Universität München, Munich, Germany. [3] Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum, Munich, Germany. [4]
| | - Paul I W de Bakker
- 1] Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands. [2] Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. [3]
| | - Christopher Newton-Cheh
- 1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA. [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA. [4] Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA. [5]
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21
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Koopmann TT, Adriaens ME, Moerland PD, Marsman RF, Westerveld ML, Lal S, Zhang T, Simmons CQ, Baczko I, dos Remedios C, Bishopric NH, Varro A, George AL, Lodder EM, Bezzina CR. Genome-wide identification of expression quantitative trait loci (eQTLs) in human heart. PLoS One 2014; 9:e97380. [PMID: 24846176 PMCID: PMC4028258 DOI: 10.1371/journal.pone.0097380] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Accepted: 04/17/2014] [Indexed: 11/23/2022] Open
Abstract
In recent years genome-wide association studies (GWAS) have uncovered numerous chromosomal loci associated with various electrocardiographic traits and cardiac arrhythmia predisposition. A considerable fraction of these loci lie within inter-genic regions. The underlying trait-associated variants likely reside in regulatory regions and exert their effect by modulating gene expression. Hence, the key to unraveling the molecular mechanisms underlying these cardiac traits is to interrogate variants for association with differential transcript abundance by expression quantitative trait locus (eQTL) analysis. In this study we conducted an eQTL analysis of human heart. For a total of 129 left ventricular samples that were collected from non-diseased human donor hearts, genome-wide transcript abundance and genotyping was determined using microarrays. Each of the 18,402 transcripts and 897,683 SNP genotypes that remained after pre-processing and stringent quality control were tested for eQTL effects. We identified 771 eQTLs, regulating 429 unique transcripts. Overlaying these eQTLs with cardiac GWAS loci identified novel candidates for studies aimed at elucidating the functional and transcriptional impact of these loci. Thus, this work provides for the first time a comprehensive eQTL map of human heart: a powerful and unique resource that enables systems genetics approaches for the study of cardiac traits.
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Affiliation(s)
- Tamara T. Koopmann
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
| | - Michiel E. Adriaens
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
| | - Perry D. Moerland
- Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands
| | - Roos F. Marsman
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
| | - Margriet L. Westerveld
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
| | - Sean Lal
- Muscle Research Unit, Department of Anatomy, Bosch Institute, The University of Sydney, Sydney, Australia
| | - Taifang Zhang
- Department of Medicine, University of Miami School of Medicine, Miami, Florida, United States of America
| | - Christine Q. Simmons
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Istvan Baczko
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Cristobal dos Remedios
- Muscle Research Unit, Department of Anatomy, Bosch Institute, The University of Sydney, Sydney, Australia
| | - Nanette H. Bishopric
- Department of Medicine, University of Miami School of Medicine, Miami, Florida, United States of America
- Department of Molecular and Cellular Pharmacology, University of Miami School of Medicine, Miami, Florida, United States of America
| | - Andras Varro
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Alfred L. George
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Elisabeth M. Lodder
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
| | - Connie R. Bezzina
- Department of Experimental Cardiology, Heart Failure Research Centre, Academic Medical Center, Amsterdam, The Netherlands
- * E-mail:
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22
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Avery CL, Sitlani CM, Arking DE, Arnett DK, Bis JC, Boerwinkle E, Buckley BM, Ida Chen YD, de Craen AJM, Eijgelsheim M, Enquobahrie D, Evans DS, Ford I, Garcia ME, Gudnason V, Harris TB, Heckbert SR, Hochner H, Hofman A, Hsueh WC, Isaacs A, Jukema JW, Knekt P, Kors JA, Krijthe BP, Kristiansson K, Laaksonen M, Liu Y, Li X, Macfarlane PW, Newton-Cheh C, Nieminen MS, Oostra BA, Peloso GM, Porthan K, Rice K, Rivadeneira FF, Rotter JI, Salomaa V, Sattar N, Siscovick DS, Slagboom PE, Smith AV, Sotoodehnia N, Stott DJ, Stricker BH, Stürmer T, Trompet S, Uitterlinden AG, van Duijn C, Westendorp RGJ, Witteman JC, Whitsel EA, Psaty BM. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. THE PHARMACOGENOMICS JOURNAL 2014; 14:6-13. [PMID: 23459443 PMCID: PMC3766418 DOI: 10.1038/tpj.2013.4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 12/07/2012] [Accepted: 01/03/2013] [Indexed: 01/18/2023]
Abstract
Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the 'missing heritability' of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0%), tri/tetracyclic antidepressants (2.6%), sulfonylurea hypoglycemic agents (2.9%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 × 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.
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Affiliation(s)
- C L Avery
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D E Arking
- McKusick-Nathans Institute of Genetic Medicine and Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D K Arnett
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - J C Bis
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - E Boerwinkle
- Division of Epidemiology and Center for Human Genetics, The University of Texas Health Science Center, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, UK
| | - Y-D Ida Chen
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D Enquobahrie
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - I Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - M E Garcia
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - S R Heckbert
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - H Hochner
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - A Hofman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - W-C Hsueh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - A Isaacs
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - P Knekt
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - J A Kors
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - B P Krijthe
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - K Kristiansson
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - M Laaksonen
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - X Li
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - P W Macfarlane
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - C Newton-Cheh
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA [2] Center for Human Genetic Research, Cardiovascular Research Center, Harvard Medical School, Boston, MA, USA [3] Massachusetts General Hospital, Boston, MA, USA
| | - M S Nieminen
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - B A Oostra
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - G M Peloso
- 1] National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA [2] Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - K Porthan
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - K Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - F F Rivadeneira
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J I Rotter
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - V Salomaa
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - D S Siscovick
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - P E Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
| | - N Sotoodehnia
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - D J Stott
- Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - B H Stricker
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands [4] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - T Stürmer
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - C van Duijn
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - R G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Witteman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - E A Whitsel
- 1] Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Departments of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - B M Psaty
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA [3] Departments of Medicine, University of Washington, Seattle, WA, USA [4] Department of Health Services, University of Washington, Seattle, WA, USA [5] Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
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23
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Marsman RF, Tan HL, Bezzina CR. Genetics of sudden cardiac death caused by ventricular arrhythmias. Nat Rev Cardiol 2013; 11:96-111. [PMID: 24322550 DOI: 10.1038/nrcardio.2013.186] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Sudden cardiac death (SCD) resulting from ventricular tachyarrhythmia is a major contributor to mortality. Clinical management of SCD, currently based on clinical markers of SCD risk, can be improved by integrating genetic information. The identification of multiple disease-causing gene variants has already improved patient management and increased our understanding of the rare Mendelian diseases associated with SCD risk in the young, but marked variability in disease severity suggests that additional genetic modifiers exist. Next-generation DNA sequencing could be crucial to the discovery of SCD-associated genes, but large data sets can be difficult to interpret. SCD usually occurs in patients with an average age of 65 years who have complex cardiac disease stemming from multiple, common, acquired disorders. Heritable factors are largely unknown, but are likely to have a role in determining the risk of SCD in these patients. Numerous genetic loci have been identified that affect electrocardiogram indices, which are regarded as intermediate phenotypes for tachyarrhythmia. These loci could help to identify new molecules and pathways affecting cardiac electrical function. These loci are often located in intergenic regions, so our evolving understanding of the noncoding regulatory regions of the genome are likely to aid in the identification of novel genes that are important for cardiac electrical function and possibly SCD.
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Affiliation(s)
- Roos F Marsman
- AMC Heart Center, Department of Clinical and Experimental Cardiology, Room L2-108, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands
| | - Hanno L Tan
- AMC Heart Center, Department of Clinical and Experimental Cardiology, Room L2-108, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands
| | - Connie R Bezzina
- AMC Heart Center, Department of Clinical and Experimental Cardiology, Room L2-108, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands
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24
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Francia P, Adduci C, Ricotta A, Stanzione R, Sensini I, Uccellini A, Frattari A, Balla C, Cotugno M, Cappato R, Rubattu S, Volpe M. Common genetic variants in selected Ca2+ signaling genes and the risk of appropriate ICD interventions in patients with heart failure. J Interv Card Electrophysiol 2013; 38:169-77. [DOI: 10.1007/s10840-013-9827-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Accepted: 08/13/2013] [Indexed: 11/29/2022]
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25
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Rac M, Kurzawski G, Safranow K, Rac M, Sagasz-Tysiewicz D, Krzystolik A, Poncyljusz W, Olszewska M, Dawid G, Chlubek D. Association of CD36 gene polymorphisms with echo- and electrocardiographic parameters in patients with early onset coronary artery disease. Arch Med Sci 2013; 9:640-50. [PMID: 24049523 PMCID: PMC3776168 DOI: 10.5114/aoms.2012.32619] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2012] [Revised: 09/20/2012] [Accepted: 10/10/2012] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION CD36 plays an important role in long-chain fatty acid homeostasis in skeletal muscle and the myocardium. CD36 deficiency may lead to reduced myocardial uptake of long-chain fatty acid. Therefore, different mutations of the CD36 gene may contribute to the clinical heterogeneity of cardiac hypertrophy. MATERIAL AND METHODS The objective of the study was to investigate whether there is an association between the sequence changes in CD36 and echocardiographic and electrocardiographic parameters in Caucasian patients with early onset coronary artery disease. The study group comprised 100 patients. Electrocardiography and echocardiography were performed in all patients. Amplicons of exons 4 to 6 including fragments of introns were studied using the denaturing high-performance liquid chromatography technique. RESULTS IVS3-6TC (rs3173798) heterozygotes had impaired left ventricle diastolic function. 573GA heterozygotes (rs5956) had higher frequency of pseudonormal left ventricular diastolic function and it was confirmed by the increase in wave A' in the tissue Doppler. 591AT genotype was associated with borderline higher posterior wall end-diastolic thickness and lower E/A ratio. These results are consistent with electrocardiography parameters which could reflect left ventricular hypertrophy (higher RV5(6) and RV5(6) + SV1(2) parameters, depressed ST segments and tendency to longer Qtc II interval) in 591AT heterozygotes. CONCLUSIONS Detected variant alleles of CD36 may be associated with features of left ventricular hypertrophy and impaired diastolic function.
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Affiliation(s)
- Monika Rac
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Grzegorz Kurzawski
- Department of Genetics and Pathomorphology, Pomeranian Medical University, Szczecin, Poland
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Michal Rac
- Department of Diagnostic Imaging and Interventional Radiology, Pomeranian Medical University, Szczecin, Poland
| | | | | | - Wojciech Poncyljusz
- Department of Interventional Radiology, Pomeranian Medical University, Szczecin, Poland
| | - Maria Olszewska
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Grażyna Dawid
- Clinic of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology of the Developmental Age, Pomeranian Medical University, Szczecin, Poland
| | - Dariusz Chlubek
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
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26
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Pazoki R, de Jong JS, Marsman RF, Bruinsma N, Dekker LRC, Wilde AAM, Bezzina CR, Tanck MWT. SNPs identified as modulators of ECG traits in the general population do not markedly affect ECG traits during acute myocardial infarction nor ventricular fibrillation risk in this condition. PLoS One 2013; 8:e57216. [PMID: 23437344 PMCID: PMC3577709 DOI: 10.1371/journal.pone.0057216] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2012] [Accepted: 01/22/2013] [Indexed: 11/18/2022] Open
Abstract
Background Ventricular fibrillation (VF) in the setting of acute ST elevation myocardial infarction (STEMI) is a leading cause of mortality. Although the risk of VF has a genetic component, the underlying genetic factors are largely unknown. Since heart rate and ECG intervals of conduction and repolarization during acute STEMI differ between patients who do and patients who do not develop VF, we investigated whether SNPs known to modulate these ECG indices in the general population also impact on the respective ECG indices during STEMI and on the risk of VF. Methods and Results The study population consisted of participants of the Arrhythmia Genetics in the NEtherlandS (AGNES) study, which enrols patients with a first STEMI that develop VF (cases) and patients that do not develop VF (controls). SNPs known to impact on RR interval, PR interval, QRS duration or QTc interval in the general population were tested for effects on the respective STEMI ECG indices (stage 1). Only those showing a (suggestive) significant association were tested for association with VF (stage 2). On average, VF cases had a shorter RR and a longer QTc interval compared to non-VF controls. Eight SNPs showed a trend for association with the respective STEMI ECG indices. Of these, three were also suggestively associated with VF. Conclusions RR interval and ECG indices of conduction and repolarization during acute STEMI differ between patients who develop VF and patients who do not. Although the effects of the SNPs on ECG indices during an acute STEMI seem to be similar in magnitude and direction as those found in the general population, the effects, at least in isolation, are too small to explain the differences in ECGs between cases and controls and to determine risk of VF.
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Affiliation(s)
- Raha Pazoki
- Department of Clinical Epidemiology, Biostatistics & Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Jonas S.S.G. de Jong
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Roos F. Marsman
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Nienke Bruinsma
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Lukas R. C. Dekker
- Department of Cardiology, Catharina Hospital, Eindhoven, The Netherlands
| | - Arthur A. M. Wilde
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Connie R. Bezzina
- Department of Clinical and Experimental Cardiology, Heart Failure Research Center, Academic Medical Center, Amsterdam, The Netherlands
- * E-mail: (MWTT); (CRB)
| | - Michael W. T. Tanck
- Department of Clinical Epidemiology, Biostatistics & Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands
- * E-mail: (MWTT); (CRB)
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27
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Abstract
TwinsUK is a nation-wide registry of volunteer twins in the United Kingdom, with about 12,000 registered twins (83% female, equal number of monozygotic and dizygotic twins, predominantly middle-aged and older). Over the last 20 years, questionnaire and blood/urine/tissue samples have been collected on over 7,000 subjects, as well as three comprehensive phenotyping assessments in the clinical facilities of the Department of Twin Research and Genetic Epidemiology, King's College London. The primary focus of study has been the genetic basis of healthy aging process and complex diseases, including cardiovascular, metabolic, musculoskeletal, and ophthalmologic disorders. Alongside the detailed clinical, biochemical, behavioral, and socio-economic characterization of the study population, the major strength of TwinsUK is availability of several 'omics' technologies for the participants. These include genome-wide scans of single nucleotide variants, next-generation sequencing, exome sequencing, epigenetic markers (MeDIP sequencing), gene expression arrays and RNA sequencing, telomere length measures, metabolomic profiles, and gut flora microbiomics. The scientific community now can freely access parts of the phenotype data from the 'TwinsUK', and interested researchers are encouraged to contact us via our Web site (www.twinsuk.ac.uk) for future collaborations.
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Affiliation(s)
- Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, St. Thomas' Hospital, London, UK
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28
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Abstract
Considerable progress has been made in identifying genetic risk factors for idiosyncratic adverse drug reactions in the past 30 years. These reactions can affect various tissues and organs, including liver, skin, muscle and heart, in a drug-dependent manner. Using both candidate gene and genome-wide association studies, various genes that make contributions of varying extents to each of these forms of reactions have been identified. Many of the associations identified for reactions affecting the liver and skin involve human leukocyte antigen (HLA) genes and for reactions relating to the drugs abacavir and carbamazepine, HLA genotyping is now in routine use prior to drug prescription. Other HLA associations are not sufficiently specific for translation but are still of interest in relation to underlying mechanisms for the reactions. Progress on non-HLA genes affecting adverse drug reactions has been less, but some important associations, such as those of SLCO1B1 and statin myopathy, KCNE1 and drug-induced QT prolongation and NAT2 and isoniazid-induced liver injury, are considered. Future prospects for identification of additional genetic risk factors for the various adverse drug reactions are discussed.
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Affiliation(s)
- Ann K Daly
- Institute of Cellular Medicine, Newcastle University, Medical School, Framlington Place, Newcastle upon Tyne NE2 4HH, UK
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29
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Smith JG, Avery CL, Evans DS, Nalls MA, Meng YA, Smith EN, Palmer C, Tanaka T, Mehra R, Butler AM, Young T, Buxbaum SG, Kerr KF, Berenson GS, Schnabel RB, Li G, Ellinor PT, Magnani JW, Chen W, Bis JC, Curb JD, Hsueh WC, Rotter JI, Liu Y, Newman AB, Limacher MC, North KE, Reiner AP, Quibrera PM, Schork NJ, Singleton AB, Psaty BM, Soliman EZ, Solomon AJ, Srinivasan SR, Alonso A, Wallace R, Redline S, Zhang ZM, Post WS, Zonderman AB, Taylor HA, Murray SS, Ferrucci L, Arking DE, Evans MK, Fox ER, Sotoodehnia N, Heckbert SR, Whitsel EA, Newton-Cheh C. Impact of ancestry and common genetic variants on QT interval in African Americans. CIRCULATION. CARDIOVASCULAR GENETICS 2012; 5:647-55. [PMID: 23166209 PMCID: PMC3568265 DOI: 10.1161/circgenetics.112.962787] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Ethnic differences in cardiac arrhythmia incidence have been reported, with a particularly high incidence of sudden cardiac death and low incidence of atrial fibrillation in individuals of African ancestry. We tested the hypotheses that African ancestry and common genetic variants are associated with prolonged duration of cardiac repolarization, a central pathophysiological determinant of arrhythmia, as measured by the electrocardiographic QT interval. METHODS AND RESULTS First, individual estimates of African and European ancestry were inferred from genome-wide single-nucleotide polymorphism (SNP) data in 7 population-based cohorts of African Americans (n=12,097) and regressed on measured QT interval from ECGs. Second, imputation was performed for 2.8 million SNPs, and a genome-wide association study of QT interval was performed in 10 cohorts (n=13,105). There was no evidence of association between genetic ancestry and QT interval (P=0.94). Genome-wide significant associations (P<2.5 × 10(-8)) were identified with SNPs at 2 loci, upstream of the genes NOS1AP (rs12143842, P=2 × 10(-15)) and ATP1B1 (rs1320976, P=2 × 10(-10)). The most significant SNP in NOS1AP was the same as the strongest SNP previously associated with QT interval in individuals of European ancestry. Low probability values (P<10(-5)) were observed for SNPs at several other loci previously identified in genome-wide association studies in individuals of European ancestry, including KCNQ1, KCNH2, LITAF, and PLN. CONCLUSIONS We observed no difference in duration of cardiac repolarization with global genetic indices of African American ancestry. In addition, our genome-wide association study extends the association of polymorphisms at several loci associated with repolarization in individuals of European ancestry to include individuals of African ancestry.
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Affiliation(s)
- J Gustav Smith
- Department of Cardiology, Lund University, Skåne University Hospital, Sweden.
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30
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Dubé JB, Hegele RA. Genetics 100 for cardiologists: basics of genome-wide association studies. Can J Cardiol 2012. [PMID: 23200095 DOI: 10.1016/j.cjca.2012.10.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The spring of 2012 marked the fifth anniversary of the widespread appearance in the biomedical literature of genome-wide association studies (GWAS) of diseases of adulthood. Articles reporting GWAS results now regularly appear in dozens of general medicine and cardiology journals. As of August 2012, more than 1700 published GWAS have reported findings across a range of human diseases. Many of these reported new genetic determinants of cardiovascular disease, including coronary artery disease and its risk factors such as diabetes, dyslipidemia, and hypertension. Though GWAS reports follow a standard format, superficially they can appear intimidating to most nongeneticists, whom we suspect often skip over them. Considering the importance of GWAS in cardiovascular science and medicine, and because they show no signs of fading, it is important for cardiovascular medical personnel and scientists to understand GWAS fundamentals. In this article, we provide a roadmap for the nonexpert reader to navigate through GWAS of cardiovascular disease. We cover the basic essentials needed to understand GWAS: underlying theory, mechanics, analysis and display, interpretation, and relevance. Areas covered include the relationship between GWAS and standard epidemiologic study design, the concepts of DNA sequence variation and linkage disequilibrium, the particular statistical considerations in studies involving many independent variables and large sample sizes, the meaning and interpretation of Manhattan plots, and the biologic and clinical significance of GWAS-based discoveries. We conclude with comments about the limitations of GWAS and about what to look for in the "post-GWAS era."
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Affiliation(s)
- Joseph B Dubé
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
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31
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Lehnart SE. Understanding the physiology of heart failure through cellular and in vivo models-towards targeting of complex mechanisms. Exp Physiol 2012; 98:622-8. [PMID: 23064508 DOI: 10.1113/expphysiol.2012.068262] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Heart failure (HF) is a complex disease syndrome, which affects physiology at all levels, from the molecule to the whole organism. Following a causative insult, a maladaptive response occurs, which sustains cardiac remodelling and leads to a final common pathway of debilitating HF symptoms. In terms of mechanisms, distinct defects of excitation-contraction coupling compartments and organelles have been identified in cardiac samples of patients and animal models, which include changes in Ca(2+) transport proteins and T-tubules. From a physiological standpoint, the source of regulatory intracellular Ca(2+) is defined by ∼20,000 Ca(2+) release units per cardiac myocyte, which jointly modulate contractile force production. We and others have characterized key changes in protein and membrane components of Ca(2+) release units during HF in patient samples and transgenic models to gain insight into complex disease mechanisms. While earlier HF studies identified intracellular Ca(2+) release as a major cause of contractile dysfunction, electrical dysfunction has gained attention as an important mechanism of HF mortality. In parallel, high-resolution imaging techniques have become instrumental to understand HF mechanisms in the intact cell and tissue environment, supporting translation of novel diagnostic strategies. Indeed, the increased spatial and temporal resolution of different experimental imaging techniques addresses the vastly different scales of HF pathophysiology, to correlate experimental with clinical surrogate markers, and to extend mechanisms to early, often subtle changes in HF. This last goal, in particular, will be essential to translate novel pathophysiological insight back to the growing number of asymptomatic individuals at increased risk for HF development, who may benefit most from early therapeutic interventions.
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Affiliation(s)
- Stephan E Lehnart
- University Medicine Goettingen, Department of Cardiology & Pulmonology, Robert-Koch-Straße 40, 37075 Goettingen, Germany.
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32
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Avery CL, Sethupathy P, Buyske S, He Q, Lin DY, Arking DE, Carty CL, Duggan D, Fesinmeyer MD, Hindorff LA, Jeff JM, Klein L, Patton KK, Peters U, Shohet RV, Sotoodehnia N, Young AM, Kooperberg C, Haiman CA, Mohlke KL, Whitsel EA, North KE. Fine-mapping and initial characterization of QT interval loci in African Americans. PLoS Genet 2012; 8:e1002870. [PMID: 22912591 PMCID: PMC3415454 DOI: 10.1371/journal.pgen.1002870] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 06/06/2012] [Indexed: 01/27/2023] Open
Abstract
The QT interval (QT) is heritable and its prolongation is a risk factor for ventricular tachyarrhythmias and sudden death. Most genetic studies of QT have examined European ancestral populations; however, the increased genetic diversity in African Americans provides opportunities to narrow association signals and identify population-specific variants. We therefore evaluated 6,670 SNPs spanning eleven previously identified QT loci in 8,644 African American participants from two Population Architecture using Genomics and Epidemiology (PAGE) studies: the Atherosclerosis Risk in Communities study and Women's Health Initiative Clinical Trial. Of the fifteen known independent QT variants at the eleven previously identified loci, six were significantly associated with QT in African American populations (P≤1.20×10(-4)): ATP1B1, PLN1, KCNQ1, NDRG4, and two NOS1AP independent signals. We also identified three population-specific signals significantly associated with QT in African Americans (P≤1.37×10(-5)): one at NOS1AP and two at ATP1B1. Linkage disequilibrium (LD) patterns in African Americans assisted in narrowing the region likely to contain the functional variants for several loci. For example, African American LD patterns showed that 0 SNPs were in LD with NOS1AP signal rs12143842, compared with European LD patterns that indicated 87 SNPs, which spanned 114.2 Kb, were in LD with rs12143842. Finally, bioinformatic-based characterization of the nine African American signals pointed to functional candidates located exclusively within non-coding regions, including predicted binding sites for transcription factors such as TBX5, which has been implicated in cardiac structure and conductance. In this detailed evaluation of QT loci, we identified several African Americans SNPs that better define the association with QT and successfully narrowed intervals surrounding established loci. These results demonstrate that the same loci influence variation in QT across multiple populations, that novel signals exist in African Americans, and that the SNPs identified as strong candidates for functional evaluation implicate gene regulatory dysfunction in QT prolongation.
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Affiliation(s)
- Christy L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
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33
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Abstract
The cardiac conduction system is a specialized tract of myocardial cells responsible for maintaining normal cardiac rhythm. Given its critical role in coordinating cardiac performance, a detailed analysis of the molecular mechanisms underlying conduction system formation should inform our understanding of arrhythmia pathophysiology and affect the development of novel therapeutic strategies. Historically, the ability to distinguish cells of the conduction system from neighboring working myocytes presented a major technical challenge for performing comprehensive mechanistic studies. Early lineage tracing experiments suggested that conduction cells derive from cardiomyocyte precursors, and these claims have been substantiated by using more contemporary approaches. However, regional specialization of conduction cells adds an additional layer of complexity to this system, and it appears that different components of the conduction system utilize unique modes of developmental formation. The identification of numerous transcription factors and their downstream target genes involved in regional differentiation of the conduction system has provided insight into how lineage commitment is achieved. Furthermore, by adopting cutting-edge genetic techniques in combination with sophisticated phenotyping capabilities, investigators have made substantial progress in delineating the regulatory networks that orchestrate conduction system formation and their role in cardiac rhythm and physiology. This review describes the connectivity of these gene regulatory networks in cardiac conduction system development and discusses how they provide a foundation for understanding normal and pathological human cardiac rhythms.
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Affiliation(s)
- Nikhil V Munshi
- Department of Internal Medicine, Cardiology Division, University of Texas Southwestern Medical Center, Dallas, TX 75390-8573, USA.
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34
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Daly AK. Using Genome-Wide Association Studies to Identify Genes Important in Serious Adverse Drug Reactions. Annu Rev Pharmacol Toxicol 2012; 52:21-35. [DOI: 10.1146/annurev-pharmtox-010611-134743] [Citation(s) in RCA: 85] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Ann K. Daly
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom;
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35
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Moayyeri A, Hammond CJ, Valdes AM, Spector TD. Cohort Profile: TwinsUK and healthy ageing twin study. Int J Epidemiol 2012; 42:76-85. [PMID: 22253318 DOI: 10.1093/ije/dyr207] [Citation(s) in RCA: 189] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
The UK's largest registry of adult twins, or TwinsUK Registry, started in 1992 and encompasses about 12000 volunteer twins from all over the United Kingdom. More than 70% of the registered twins have filled at least one detailed health questionnaire and about half of them undergone a baseline comprehensive assessment and two follow-up clinical evaluations. The most recent follow-up visit, known as Healthy Ageing Twin Study (HATS), involved 3125 female twins aged >40 years with at least one previous clinical assessment to enable inspection of longitudinal changes in ageing traits and their genetic and environmental components. The study benefits from several state-of-the-art OMICs studies including genome-wide association, next-generation genome and transcriptome sequencing, and epigenetic and metabolomic profiles. This makes our cohort as one of the most deeply phenotyped and genotyped in the world. Several collaborative projects in the field of epidemiology of complex disorders are ongoing in our cohort and interested researchers are encouraged to get in contact for future collaborations.
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Affiliation(s)
- Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital, London, UK
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36
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Kolder ICRM, Tanck MWT, Bezzina CR. Common genetic variation modulating cardiac ECG parameters and susceptibility to sudden cardiac death. J Mol Cell Cardiol 2012; 52:620-9. [PMID: 22248531 DOI: 10.1016/j.yjmcc.2011.12.014] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2011] [Revised: 12/23/2011] [Accepted: 12/31/2011] [Indexed: 01/19/2023]
Abstract
Sudden cardiac death (SCD) is a prevalent cause of death in Western societies. Genome-wide association studies (GWAS) conducted over the last few years have uncovered common genetic variants modulating risk of SCD. Furthermore, GWAS studies uncovered several loci impacting on heart rate and ECG indices of conduction and repolarization, as measures of cardiac electrophysiological function and likely intermediate phenotypes of SCD risk. We here review these recent developments and their implications for the identification of novel molecular pathways underlying normal electrophysiological function and susceptibility to SCD.
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Affiliation(s)
- Iris C R M Kolder
- Heart Failure Research Center, Department of Experimental Cardiology, Academic Medical Center, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
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37
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Pan S, Dewey FE, Perez MV, Knowles JW, Chen R, Butte AJ, Ashley EA. Personalized Medicine and Cardiovascular Disease: From Genome to Bedside. CURRENT CARDIOVASCULAR RISK REPORTS 2011. [DOI: 10.1007/s12170-011-0202-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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38
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Voorman A, Lumley T, McKnight B, Rice K. Behavior of QQ-plots and genomic control in studies of gene-environment interaction. PLoS One 2011; 6:e19416. [PMID: 21589913 PMCID: PMC3093379 DOI: 10.1371/journal.pone.0019416] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2010] [Accepted: 03/29/2011] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies of gene-environment interaction (GxE GWAS) are becoming popular. As with main effects GWAS, quantile-quantile plots (QQ-plots) and Genomic Control are being used to assess and correct for population substructure. However, in G x E work these approaches can be seriously misleading, as we illustrate; QQ-plots may give strong indications of substructure when absolutely none is present. Using simulation and theory, we show how and why spurious QQ-plot inflation occurs in G x E GWAS, and how this differs from main-effects analyses. We also explain how simple adjustments to standard regression-based methods used in G x E GWAS can alleviate this problem.
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Affiliation(s)
- Arend Voorman
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Thomas Lumley
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
- * E-mail:
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39
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Noseworthy PA, Havulinna AS, Porthan K, Lahtinen AM, Jula A, Karhunen PJ, Perola M, Oikarinen L, Kontula KK, Salomaa V, Newton-Cheh C. Common genetic variants, QT interval, and sudden cardiac death in a Finnish population-based study. ACTA ACUST UNITED AC 2011; 4:305-11. [PMID: 21511878 DOI: 10.1161/circgenetics.110.959049] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Although sudden cardiac death (SCD) is heritable, its genetic underpinnings are poorly characterized. The QT interval appears to have a graded relationship to SCD, and 35% to 45% of its variation is heritable. We examined the relationship among recently reported common genetic variants, QT interval, and SCD. METHODS AND RESULTS We genotyped 15 common (minor allele frequency >1%) candidate single nucleotide polymorphisms (SNPs), based on association with the QT interval in prior studies, in individuals in 2 cohort studies (Health 2000, n = 6597; Mini-Finland, n = 801). After exclusions, we identified 116 incident SCDs from the remaining sample (n = 6808). We constructed a QT genotype score (QT(score)) using the allele copy number and previously reported effect estimates for each SNP. Cox proportional hazards models adjusting for age, sex, and geographical area were used for time to SCD analyses. The QT(score) was a continuous independent predictor of the heart rate-corrected QT interval (P<10(-107)). Comparing the top with the bottom quintile of QT(score), there was a 15.6-ms higher group mean QT interval (P<10(-84)). A 10-ms increase in the observed QT interval was associated with an increased risk of SCD (hazard ratio, 1.19; 95% confidence interval, 1.07 to 1.32; P = 0.002). There was no linear relationship between QT(score) and SCD risk; although in post hoc secondary analysis there was increased risk in the top compared with the middle QT(score) quintile (hazard ratio, 1.92; 95% confidence interval, 1.05 to 3.58; P = 0.04). CONCLUSIONS Our study strongly replicates the relationship between common genetic variants and the QT interval and confirms the relationship between the QT interval and SCD but does not show evidence for a linear relationship between QT(score) and SCD risk.
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Affiliation(s)
- Peter A Noseworthy
- Cardiovascular Research Center and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA
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40
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Ferrero-Miliani L, Holst AG, Pehrson S, Morling N, Bundgaard H. Strategy for clinical evaluation and screening of sudden cardiac death relatives. Fundam Clin Pharmacol 2011; 24:619-35. [PMID: 20698891 DOI: 10.1111/j.1472-8206.2010.00864.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Sudden cardiac death (SCD) may be the first and final manifestation of several heart diseases. In the young, SCD is often caused by a hereditary cardiac disease. As the most frequently seen inherited cardiac diseases have an autosomal-dominant pattern of inheritance, half of the first-degree relatives are at risk of having or developing the same disease. Therefore, screening of these high-risk relatives is a rational approach to reduce the incidence of SCD. To offer family screening and counseling, the cause of death should be carefully established. Autopsy is only performed in a limited number of cases. We advocate for systematic autopsies in SCD, because positive findings are crucial for choosing the optimal screening program for the relatives. A negative autopsy makes identification of at-risk population difficult. However, this finding also provides clues to the cardiologist, because a limited number of inherited cardiac diseases associated with SCD are without any structural changes. In other cases, the autopsy may reveal noncardiac causes of death, which is also important for reassuring the relatives. However, in cases with no autopsy or negative findings, thorough clinical examinations and selective genetic screening of relatives may identify a likely diagnosis in more than 50% of affected families. There is a need for consensus regarding routine evaluation of SCD cases and the ethical and legal framework related to postmortem testing. We propose an algorithm that narrows the diagnostic possibilities in apparently healthy relatives of young SCD victims. Molecular autopsy may play an important role.
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Affiliation(s)
- Laura Ferrero-Miliani
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health Sciences, University of Copenhagen, Frederik V's Vej 11, DK-2100 Copenhagen, Denmark.
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41
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Abstract
Sudden cardiac death (SCD) is a major health problem and constitutes one of the most important unsolved challenges in the practice of forensic pathology due to the failure to determine the cause of death. Particularly, an important number of previously healthy young people who have died suddenly and unexpectedly are consequence of genetic heart disorders, either structural cardiomyopathies or arrhythmogenic abnormalities. The technological approach to analyze this type of genetically heterogeneous disorders is far from easy but nowadays the variety of chemistries and methodologies improves choice. This review offers to the reader a state of the art of the available technologies for the study of genetics of sudden cardiac death, including mutation screening approaches, genome wide association studies, and the recently developed next-generation sequencing.
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42
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Eijgelsheim M, Newton-Cheh C, Sotoodehnia N, de Bakker PIW, Müller M, Morrison AC, Smith AV, Isaacs A, Sanna S, Dörr M, Navarro P, Fuchsberger C, Nolte IM, de Geus EJC, Estrada K, Hwang SJ, Bis JC, Rückert IM, Alonso A, Launer LJ, Hottenga JJ, Rivadeneira F, Noseworthy PA, Rice KM, Perz S, Arking DE, Spector TD, Kors JA, Aulchenko YS, Tarasov KV, Homuth G, Wild SH, Marroni F, Gieger C, Licht CM, Prineas RJ, Hofman A, Rotter JI, Hicks AA, Ernst F, Najjar SS, Wright AF, Peters A, Fox ER, Oostra BA, Kroemer HK, Couper D, Völzke H, Campbell H, Meitinger T, Uda M, Witteman JCM, Psaty BM, Wichmann HE, Harris TB, Kääb S, Siscovick DS, Jamshidi Y, Uitterlinden AG, Folsom AR, Larson MG, Wilson JF, Penninx BW, Snieder H, Pramstaller PP, van Duijn CM, Lakatta EG, Felix SB, Gudnason V, Pfeufer A, Heckbert SR, Stricker BHC, Boerwinkle E, O'Donnell CJ. Genome-wide association analysis identifies multiple loci related to resting heart rate. Hum Mol Genet 2010; 19:3885-94. [PMID: 20639392 DOI: 10.1093/hmg/ddq303] [Citation(s) in RCA: 104] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 × 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.
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Affiliation(s)
- Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
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Novel genes for QTc interval. How much heritability is explained, and how much is left to find? Genome Med 2010; 2:35. [PMID: 20519034 PMCID: PMC2887079 DOI: 10.1186/gm156] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The corrected QT (QTc) interval is a complex quantitative trait, believed to be influenced by several genetic and environmental factors. It is a strong prognostic indicator of cardiovascular mortality in patients with and without cardiac disease. More than 700 mutations have been described in 12 genes (LQT1-LQT12) involved in congenital long QT syndrome. However, the heritability (genetic contribution) of QTc interval in the general population cannot be adequately explained by these long QT syndrome genes. In order to further investigate the genetic architecture underlying QTc interval in the general population, genome-wide association studies, in which up to one million single nucleotide polymorphisms are assayed in thousands of individuals, are now being employed and have already led to the discovery of variants in seven novel loci and five loci that are known to cause congenital long or short QT syndrome. Here we show that a combined risk score using 11 of these loci explains about 10% of the heritability of QTc. Additional discovery of both common and rare variants will yield further etiological insight and accelerate clinical applications.
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Milan DJ, Lubitz SA, Kääb S, Ellinor PT. Genome-wide association studies in cardiac electrophysiology: recent discoveries and implications for clinical practice. Heart Rhythm 2010; 7:1141-8. [PMID: 20423731 DOI: 10.1016/j.hrthm.2010.04.021] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2010] [Accepted: 04/21/2010] [Indexed: 12/19/2022]
Abstract
Genome-wide association studies have been increasingly used to study the genetics of complex human diseases. Within the field of cardiac electrophysiology, this technique has been applied to conditions such as atrial fibrillation, and several electrocardiographic parameters including the QT interval. While these studies have identified multiple genomic regions associated with each trait, questions remain, including the best way to explore the pathophysiology of each association and the potential for clinical utility. This review will summarize recent genome-wide association study results within cardiac electrophysiology and discuss their broader implications in basic science and clinical medicine.
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Affiliation(s)
- David J Milan
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
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The year in arrhythmias—2009 Part II. Heart Rhythm 2010; 7:538-48. [DOI: 10.1016/j.hrthm.2010.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2009] [Indexed: 11/21/2022]
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Abstract
Evidence from family history, twin studies and molecular studies of rare inherited arrhythmia predisposition syndromes indicate that genetic factors are important contributors to determining risk for sudden cardiac death (SCD). More recent evidence indicates that common genetic variants in several genes can explain part of this risk at the population level. Here, the genetic risks for SCD are reviewed along with explanations of basic concepts relevant to understanding genetic contributions to common diseases. Also reviewed are two categories of genetic studies that have led to important discoveries about the genetic basis for SCD in general populations. Candidate gene studies focusing mainly on genes responsible for rare inherited arrhythmia susceptibility syndromes or on determinants of autonomic nervous system function will be highlighted first followed by more recent data from genome wide association studies that have identified previously unrecognized genomic intervals that explain inter-individual differences in QT interval duration possibly accounting for a proportion of the population-attributable risk for SCD.
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Affiliation(s)
- Alfred L George
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee 37232-0275, USA.
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Eijgelsheim M, Newton-Cheh C, Aarnoudse ALHJ, van Noord C, Witteman JCM, Hofman A, Uitterlinden AG, Stricker BHC. Genetic variation in NOS1AP is associated with sudden cardiac death: evidence from the Rotterdam Study. Hum Mol Genet 2009; 18:4213-8. [PMID: 19643915 DOI: 10.1093/hmg/ddp356] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Common variation within the nitric oxide-1 synthase activator protein (NOS1AP) locus is strongly related to QT interval, a sudden cardiac death (SCD) risk factor. A recent report describes common variation in NOS1AP associated with SCD in a US population of European ancestry. The objective of the current study was to obtain additional evidence by investigating the association between NOS1AP variants and SCD in the prospective population-based Rotterdam Study. The study population consisted of 5974 European ancestry subjects, aged 55 years and older, genotyped on Illumina arrays. SCD was defined according to European Society of Cardiology guidelines. Smoking, body mass index, diabetes mellitus, hypertension, heart failure and myocardial infarction were used as covariates in Cox proportional hazard models. Results were combined with reported evidence using inverse-variance weighted meta-analysis. Two hundred and eight (109 witnessed) cases of SCD occurred during a mean follow-up of 10.4 years. Within the Rotterdam Study alone, no significant associations were observed. Upon pooling of results with existing data, we observed strengthening of existing evidence for rs16847549 (US data HR = 1.31, P = 0.0024; Rotterdam Study HR = 1.18, P = 0.16; joint HR = 1.26, P = 0.0011). When the case definition in the Rotterdam Study was restricted to witnessed SCD, association of rs16847549 with SCD became stronger (joint P = 0.00019) and additionally the association between rs12567209 and SCD gained significance (US data HR = 0.57, P = 0.0035; Rotterdam Study HR = 0.69, P = 0.23; joint HR = 0.60, P = 0.0018). In conclusion, this study provided additional evidence for association between genetic variation within NOS1AP and SCD. The mechanism by which this effect is exerted remains to be elucidated.
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Affiliation(s)
- Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
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