Author: "Hopewell, Jemma C." / Topic: coronary artery disease - Searchworks@Jio Institute Digital Library Search Results

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1. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.

Author: Aragam KG, Jiang T, Goel A, Kanoni S, Wolford BN, Atri DS, Weeks EM, Wang M, Hindy G, Zhou W, Grace C, Roselli C, Marston NA, Kamanu FK, Surakka I, Venegas LM, Sherliker P, Koyama S, Ishigaki K, Åsvold BO, Brown MR, Brumpton B, de Vries PS, Giannakopoulou O, Giardoglou P, Gudbjartsson DF, Güldener U, Haider SMI, Helgadottir A, Ibrahim M, Kastrati A, Kessler T, Kyriakou T, Konopka T, Li L, Ma L, Meitinger T, Mucha S, Munz M, Murgia F, Nielsen JB, Nöthen MM, Pang S, Reinberger T, Schnitzler G, Smedley D, Thorleifsson G, von Scheidt M, Ulirsch JC, Arnar DO, Burtt NP, Costanzo MC, Flannick J, Ito K, Jang DK, Kamatani Y, Khera AV, Komuro I, Kullo IJ, Lotta LA, Nelson CP, Roberts R, Thorgeirsson G, Thorsteinsdottir U, Webb TR, Baras A, Björkegren JLM, Boerwinkle E, Dedoussis G, Holm H, Hveem K, Melander O, Morrison AC, Orho-Melander M, Rallidis LS, Ruusalepp A, Sabatine MS, Stefansson K, Zalloua P, Ellinor PT, Farrall M, Danesh J, Ruff CT, Finucane HK, Hopewell JC, Clarke R, Gupta RM, Erdmann J, Samani NJ, Schunkert H, Watkins H, Willer CJ, Deloukas P, Kathiresan S, and Butterworth AS
Subjects: Humans, Genome-Wide Association Study, Coronary Artery Disease genetics
Abstract: The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci. We prioritized likely causal variants using functionally informed fine-mapping, yielding 42 associations with less than five variants in the 95% credible set. Similarity-based clustering suggested roles for early developmental processes, cell cycle signaling and vascular cell migration and proliferation in the pathogenesis of CAD. We prioritized 220 candidate causal genes, combining eight complementary approaches, including 123 supported by three or more approaches. Using CRISPR-Cas9, we experimentally validated the effect of an enhancer in MYO9B, which appears to mediate CAD risk by regulating vascular cell motility. Our analysis identifies and systematically characterizes >250 risk loci for CAD to inform experimental interrogation of putative causal mechanisms for CAD., (© 2022. The Author(s).)
Published: 2022
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2. Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.

Author: Grace C, Hopewell JC, Watkins H, Farrall M, and Goel A
Subjects: Bayes Theorem, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Coronary Artery Disease epidemiology, Coronary Artery Disease genetics, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics
Abstract: Type 2 diabetes (T2D) is an important heritable risk factor for coronary artery disease (CAD), the risk of both diseases being increased by metabolic syndrome (MS). With the availability of large-scale genome-wide association data, we aimed to elucidate the genetic burden of CAD risk in T2D predisposed individuals within the context of MS and their shared genetic architecture. Mendelian randomization (MR) analyses supported a causal relationship between T2D and CAD [odds ratio (OR) = 1.13 per log-odds unit 95% confidence interval (CI): 1.10-1.16; p = 1.59 × 10 -17 ]. Simultaneously adjusting MR analyses for the effects of the T2D instrument including blood pressure, dyslipidaemia, and obesity attenuated the association between T2D and CAD (OR = 1.07, 95% CI: 1.04-1.11). Bayesian locus-overlap analysis identified 44 regions with the same causal variant underlying T2D and CAD genetic signals (FDR < 1%) at a posterior probability >0.7; five (MHC, LPL, ABO, RAI1 and MC4R) of these regions contain genome-wide significant (p < 5 × 10 -8 ) associations for both traits. Given the small effect sizes observed in genome-wide association studies for complex diseases, even with 44 potential target regions, this has implications for the likely magnitude of CAD risk reduction that might be achievable by pure T2D therapies., (© 2021 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC.)
Published: 2022
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3. Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease.

Author: Magosi LE, Goel A, Hopewell JC, and Farrall M
Subjects: Genome-Wide Association Study, Humans, Multifactorial Inheritance, Research Design, Coronary Artery Disease
Abstract: Motivation: Common small-effect genetic variants that contribute to human complex traits and disease are typically identified using traditional fixed-effect (FE) meta-analysis methods. However, the power to detect genetic associations under FE models deteriorates with increasing heterogeneity, so that some small-effect heterogeneous loci might go undetected. A modified random-effects meta-analysis approach (RE2) was previously developed that is more powerful than traditional fixed and random-effects methods at detecting small-effect heterogeneous genetic associations, the method was updated (RE2C) to identify small-effect heterogeneous variants overlooked by traditional fixed-effect meta-analysis. Here, we re-appraise a large-scale meta-analysis of coronary disease with RE2C to search for small-effect genetic signals potentially masked by heterogeneity in a FE meta-analysis., Results: Our application of RE2C suggests a high sensitivity but low specificity of this approach for discovering small-effect heterogeneous genetic associations. We recommend that reports of small-effect heterogeneous loci discovered with RE2C are accompanied by forest plots and standardized predicted random-effects statistics to reveal the distribution of genetic effect estimates across component studies of meta-analyses, highlighting overly influential outlier studies with the potential to inflate genetic signals., Availability and Implementation: Scripts to calculate standardized predicted random-effects statistics and generate forest plots are available in the getspres R package entitled from https://magosil86.github.io/getspres/., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2019. Published by Oxford University Press.)
Published: 2020
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4. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Author: Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, and Antoniades C
Subjects: Adipose Tissue pathology, Aged, Algorithms, Case-Control Studies, Coronary Artery Disease genetics, Coronary Artery Disease pathology, Female, Follow-Up Studies, Genetic Markers, Humans, Male, Middle Aged, Phenotype, Plaque, Atherosclerotic genetics, Plaque, Atherosclerotic pathology, Risk Assessment, Adipose Tissue diagnostic imaging, Computed Tomography Angiography, Coronary Artery Disease diagnostic imaging, Gene Expression Profiling methods, Machine Learning, Plaque, Atherosclerotic diagnostic imaging, Transcriptome
Abstract: Background: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). However, inflammation is not the only process involved in atherogenesis and we hypothesized that additional radiomic signatures of adverse fibrotic and microvascular PVAT remodelling, may further improve cardiac risk prediction., Methods and Results: We present a new artificial intelligence-powered method to predict cardiac risk by analysing the radiomic profile of coronary PVAT, developed and validated in patient cohorts acquired in three different studies. In Study 1, adipose tissue biopsies were obtained from 167 patients undergoing cardiac surgery, and the expression of genes representing inflammation, fibrosis and vascularity was linked with the radiomic features extracted from tissue CT images. Adipose tissue wavelet-transformed mean attenuation (captured by FAI) was the most sensitive radiomic feature in describing tissue inflammation (TNFA expression), while features of radiomic texture were related to adipose tissue fibrosis (COL1A1 expression) and vascularity (CD31 expression). In Study 2, we analysed 1391 coronary PVAT radiomic features in 101 patients who experienced major adverse cardiac events (MACE) within 5 years of having a CCTA and 101 matched controls, training and validating a machine learning (random forest) algorithm (fat radiomic profile, FRP) to discriminate cases from controls (C-statistic 0.77 [95%CI: 0.62-0.93] in the external validation set). The coronary FRP signature was then tested in 1575 consecutive eligible participants in the SCOT-HEART trial, where it significantly improved MACE prediction beyond traditional risk stratification that included risk factors, coronary calcium score, coronary stenosis, and high-risk plaque features on CCTA (Δ[C-statistic] = 0.126, P < 0.001). In Study 3, FRP was significantly higher in 44 patients presenting with acute myocardial infarction compared with 44 matched controls, but unlike FAI, remained unchanged 6 months after the index event, confirming that FRP detects persistent PVAT changes not captured by FAI., Conclusion: The CCTA-based radiomic profiling of coronary artery PVAT detects perivascular structural remodelling associated with coronary artery disease, beyond inflammation. A new artificial intelligence (AI)-powered imaging biomarker (FRP) leads to a striking improvement of cardiac risk prediction over and above the current state-of-the-art., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.)
Published: 2019
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5. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.

Author: Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Hutt Centeno E, Thomas S, Herdman L, Kotanidis CP, Thomas KE, Griffin BP, Flamm SD, Antonopoulos AS, Shirodaria C, Sabharwal N, Deanfield J, Neubauer S, Hopewell JC, Channon KM, Achenbach S, and Antoniades C
Subjects: Adipocytes, Adipose Tissue diagnostic imaging, Adolescent, Adult, Aged, Aged, 80 and over, Coronary Artery Disease mortality, Coronary Vessels diagnostic imaging, Female, Follow-Up Studies, Humans, Imaging, Three-Dimensional, Male, Middle Aged, Plaque, Atherosclerotic diagnostic imaging, Predictive Value of Tests, Proportional Hazards Models, Prospective Studies, Risk Assessment, Survival Analysis, Young Adult, Computed Tomography Angiography methods, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging
Abstract: Background: Coronary artery inflammation inhibits adipogenesis in adjacent perivascular fat. A novel imaging biomarker-the perivascular fat attenuation index (FAI)-captures coronary inflammation by mapping spatial changes of perivascular fat attenuation on coronary computed tomography angiography (CTA). However, the ability of the perivascular FAI to predict clinical outcomes is unknown., Methods: In the Cardiovascular RISk Prediction using Computed Tomography (CRISP-CT) study, we did a post-hoc analysis of outcome data gathered prospectively from two independent cohorts of consecutive patients undergoing coronary CTA in Erlangen, Germany (derivation cohort) and Cleveland, OH, USA (validation cohort). Perivascular fat attenuation mapping was done around the three major coronary arteries-the proximal right coronary artery, the left anterior descending artery, and the left circumflex artery. We assessed the prognostic value of perivascular fat attenuation mapping for all-cause and cardiac mortality in Cox regression models, adjusted for age, sex, cardiovascular risk factors, tube voltage, modified Duke coronary artery disease index, and number of coronary CTA-derived high-risk plaque features., Findings: Between 2005 and 2009, 1872 participants in the derivation cohort underwent coronary CTA (median age 62 years [range 17-89]). Between 2008 and 2016, 2040 patients in the validation cohort had coronary CTA (median age 53 years [range 19-87]). Median follow-up was 72 months (range 51-109) in the derivation cohort and 54 months (range 4-105) in the validation cohort. In both cohorts, high perivascular FAI values around the proximal right coronary artery and left anterior descending artery (but not around the left circumflex artery) were predictive of all-cause and cardiac mortality and correlated strongly with each other. Therefore, the perivascular FAI measured around the right coronary artery was used as a representative biomarker of global coronary inflammation (for prediction of cardiac mortality, hazard ratio [HR] 2·15, 95% CI 1·33-3·48; p=0·0017 in the derivation cohort, and 2·06, 1·50-2·83; p<0·0001 in the validation cohort). The optimum cutoff for the perivascular FAI, above which there is a steep increase in cardiac mortality, was ascertained as -70·1 Hounsfield units (HU) or higher in the derivation cohort (HR 9·04, 95% CI 3·35-24·40; p<0·0001 for cardiac mortality; 2·55, 1·65-3·92; p<0·0001 for all-cause mortality). This cutoff was confirmed in the validation cohort (HR 5·62, 95% CI 2·90-10·88; p<0·0001 for cardiac mortality; 3·69, 2·26-6·02; p<0·0001 for all-cause mortality). Perivascular FAI improved risk discrimination in both cohorts, leading to significant reclassification for all-cause and cardiac mortality., Interpretation: The perivascular FAI enhances cardiac risk prediction and restratification over and above current state-of-the-art assessment in coronary CTA by providing a quantitative measure of coronary inflammation. High perivascular FAI values (cutoff ≥-70·1 HU) are an indicator of increased cardiac mortality and, therefore, could guide early targeted primary prevention and intensive secondary prevention in patients., Funding: British Heart Foundation, and the National Institute of Health Research Oxford Biomedical Research Centre., (Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2018
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6. Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer's disease.

Author: Grace C, Clarke R, Goel A, Farrall M, Watkins H, and Hopewell JC
Subjects: Aged, Alzheimer Disease complications, Alzheimer Disease epidemiology, Alzheimer Disease physiopathology, Coronary Artery Disease complications, Coronary Artery Disease epidemiology, Coronary Artery Disease physiopathology, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide genetics, Risk Assessment, Risk Factors, Alzheimer Disease genetics, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Mendelian Randomization Analysis
Abstract: Epidemiological studies suggest a positive association between coronary artery disease (CAD) and late-onset Alzheimer's disease (LOAD). This large-scale genetic study brings together 'big data' resources to examine the causal impact of genetic determinants of CAD on risk of LOAD. A two-sample Mendelian randomization approach was adopted to estimate the causal effect of CAD on risk of LOAD using summary data from 60,801 CAD cases from CARDIoGRAMplusC4D and 17,008 LOAD cases from the IGAP Consortium. Additional analyses assessed the independent relevance of genetic associations at the APOE locus for both CAD and LOAD. Higher genetically determined risk of CAD was associated with a slightly higher risk of LOAD (Odds Ratio (OR) per log-odds unit of CAD [95% CI]: 1.07 [1.01-1.15]; p = 0.027). However, after exclusion of the APOE locus, the estimate of the causal effect of CAD for LOAD was attenuated and no longer significant (OR 0.94 [0.88-1.01]; p = 0.072). This Mendelian randomization study indicates that the APOE locus is the chief determinant of shared genetic architecture between CAD and LOAD, and suggests a lack of causal relevance of CAD for risk of LOAD after exclusion of APOE.
Published: 2018
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7. Association analyses based on false discovery rate implicate new loci for coronary artery disease.

Author: Nelson CP, Goel A, Butterworth AS, Kanoni S, Webb TR, Marouli E, Zeng L, Ntalla I, Lai FY, Hopewell JC, Giannakopoulou O, Jiang T, Hamby SE, Di Angelantonio E, Assimes TL, Bottinger EP, Chambers JC, Clarke R, Palmer CNA, Cubbon RM, Ellinor P, Ermel R, Evangelou E, Franks PW, Grace C, Gu D, Hingorani AD, Howson JMM, Ingelsson E, Kastrati A, Kessler T, Kyriakou T, Lehtimäki T, Lu X, Lu Y, März W, McPherson R, Metspalu A, Pujades-Rodriguez M, Ruusalepp A, Schadt EE, Schmidt AF, Sweeting MJ, Zalloua PA, AlGhalayini K, Keavney BD, Kooner JS, Loos RJF, Patel RS, Rutter MK, Tomaszewski M, Tzoulaki I, Zeggini E, Erdmann J, Dedoussis G, Björkegren JLM, Schunkert H, Farrall M, Danesh J, Samani NJ, Watkins H, and Deloukas P
Subjects: Genetic Association Studies methods, Genetic Association Studies standards, Genetic Association Studies statistics & numerical data, Genome-Wide Association Study standards, Genome-Wide Association Study statistics & numerical data, Genotype, Health Information Systems standards, Health Information Systems statistics & numerical data, Humans, Meta-Analysis as Topic, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, United Kingdom, Coronary Artery Disease genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods
Abstract: Genome-wide association studies (GWAS) in coronary artery disease (CAD) had identified 66 loci at 'genome-wide significance' (P < 5 × 10 -8 ) at the time of this analysis, but a much larger number of putative loci at a false discovery rate (FDR) of 5% (refs. 1,2,3,4). Here we leverage an interim release of UK Biobank (UKBB) data to evaluate the validity of the FDR approach. We tested a CAD phenotype inclusive of angina (SOFT; n cases = 10,801) as well as a stricter definition without angina (HARD; n cases = 6,482) and selected cases with the former phenotype to conduct a meta-analysis using the two most recent CAD GWAS. This approach identified 13 new loci at genome-wide significance, 12 of which were on our previous list of loci meeting the 5% FDR threshold, thus providing strong support that the remaining loci identified by FDR represent genuine signals. The 304 independent variants associated at 5% FDR in this study explain 21.2% of CAD heritability and identify 243 loci that implicate pathways in blood vessel morphogenesis as well as lipid metabolism, nitric oxide signaling and inflammation.
Published: 2017
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8. No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis.

Author: Loley C, Alver M, Assimes TL, Bjonnes A, Goel A, Gustafsson S, Hernesniemi J, Hopewell JC, Kanoni S, Kleber ME, Lau KW, Lu Y, Lyytikäinen LP, Nelson CP, Nikpay M, Qu L, Salfati E, Scholz M, Tukiainen T, Willenborg C, Won HH, Zeng L, Zhang W, Anand SS, Beutner F, Bottinger EP, Clarke R, Dedoussis G, Do R, Esko T, Eskola M, Farrall M, Gauguier D, Giedraitis V, Granger CB, Hall AS, Hamsten A, Hazen SL, Huang J, Kähönen M, Kyriakou T, Laaksonen R, Lind L, Lindgren C, Magnusson PK, Marouli E, Mihailov E, Morris AP, Nikus K, Pedersen N, Rallidis L, Salomaa V, Shah SH, Stewart AF, Thompson JR, Zalloua PA, Chambers JC, Collins R, Ingelsson E, Iribarren C, Karhunen PJ, Kooner JS, Lehtimäki T, Loos RJ, März W, McPherson R, Metspalu A, Reilly MP, Ripatti S, Sanghera DK, Thiery J, Watkins H, Deloukas P, Kathiresan S, Samani NJ, Schunkert H, Erdmann J, and König IR
Subjects: Cohort Studies, Female, Humans, Internationality, Male, Chromosomes, Human, X, Coronary Artery Disease genetics
Abstract: In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.
Published: 2016
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9. Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease.

Author: McLeod O, Silveira A, Valdes-Marquez E, Björkbacka H, Almgren P, Gertow K, Gådin JR, Bäcklund A, Sennblad B, Baldassarre D, Veglia F, Humphries SE, Tremoli E, de Faire U, Nilsson J, Melander O, Hopewell JC, Clarke R, Björck HM, Hamsten A, Öhrvik J, and Strawbridge RJ
Subjects: Acid Anhydride Hydrolases, Aged, Carotid Intima-Media Thickness, Chromosomes, Human, Pair 14 genetics, Coronary Artery Disease blood, DNA Repair Enzymes genetics, DNA-Binding Proteins genetics, Europe, Female, Gene Expression, Genetic Predisposition to Disease genetics, Genetics, Population, Genome-Wide Association Study methods, Humans, Interleukin-5 blood, Leukocyte Count, Linear Models, Male, Middle Aged, Plaque, Atherosclerotic blood, Plaque, Atherosclerotic genetics, Polymorphism, Single Nucleotide, Risk Factors, Chromosomes, Human, Pair 5 genetics, Coronary Artery Disease genetics, Eosinophils metabolism, Genetic Loci genetics, Interleukin-5 genetics
Abstract: IL-5 is a Th2 cytokine which activates eosinophils and is suggested to have an atheroprotective role. Genetic variants in the IL5 locus have been associated with increased risk of CAD and ischemic stroke. In this study we aimed to identify genetic variants associated with IL-5 concentrations and apply a Mendelian randomisation approach to assess IL-5 levels for causal effect on intima-media thickness in a European population at high risk of coronary artery disease. We analysed SNPs within robustly associated candidate loci for immune, inflammatory, metabolic and cardiovascular traits. We identified 2 genetic loci for IL-5 levels (chromosome 5, rs56183820, BETA=0.11, P=6.73E(-5) and chromosome 14, rs4902762, BETA=0.12, P=5.76E(-6)) and one for eosinophil count (rs72797327, BETA=-0.10, P=1.41E(-6)). Both chromosome 5 loci were in the vicinity of the IL5 gene, however the association with IL-5 levels failed to replicate in a meta-analysis of 2 independent cohorts (rs56183820, BETA=0.04, P=0.2763, I(2)=24, I(2)-P=0.2516). No significant associations were observed between SNPs associated with IL-5 levels or eosinophil count and IMT measures. Expression quantitative trait analyses indicate effects of the IL-5 and eosinophil-associated SNPs on RAD50 mRNA expression levels (rs12652920 (r2=0.93 with rs56183820) BETA=-0.10, P=8.64E(-6) and rs11739623 (r2=0.96 with rs72797327) BETA=-0.23, P=1.74E(-29), respectively). Our data do not support a role for IL-5 levels and eosinophil count in intima-media thickness, however SNPs associated with IL-5 and eosinophils might influence stability of the atherosclerotic plaque via modulation of RAD50 levels., (Copyright © 2016 Elsevier Ltd. All rights reserved.)
Published: 2016
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10. A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

Author: Nikpay M, Goel A, Won HH, Hall LM, Willenborg C, Kanoni S, Saleheen D, Kyriakou T, Nelson CP, Hopewell JC, Webb TR, Zeng L, Dehghan A, Alver M, Armasu SM, Auro K, Bjonnes A, Chasman DI, Chen S, Ford I, Franceschini N, Gieger C, Grace C, Gustafsson S, Huang J, Hwang SJ, Kim YK, Kleber ME, Lau KW, Lu X, Lu Y, Lyytikäinen LP, Mihailov E, Morrison AC, Pervjakova N, Qu L, Rose LM, Salfati E, Saxena R, Scholz M, Smith AV, Tikkanen E, Uitterlinden A, Yang X, Zhang W, Zhao W, de Andrade M, de Vries PS, van Zuydam NR, Anand SS, Bertram L, Beutner F, Dedoussis G, Frossard P, Gauguier D, Goodall AH, Gottesman O, Haber M, Han BG, Huang J, Jalilzadeh S, Kessler T, König IR, Lannfelt L, Lieb W, Lind L, Lindgren CM, Lokki ML, Magnusson PK, Mallick NH, Mehra N, Meitinger T, Memon FU, Morris AP, Nieminen MS, Pedersen NL, Peters A, Rallidis LS, Rasheed A, Samuel M, Shah SH, Sinisalo J, Stirrups KE, Trompet S, Wang L, Zaman KS, Ardissino D, Boerwinkle E, Borecki IB, Bottinger EP, Buring JE, Chambers JC, Collins R, Cupples LA, Danesh J, Demuth I, Elosua R, Epstein SE, Esko T, Feitosa MF, Franco OH, Franzosi MG, Granger CB, Gu D, Gudnason V, Hall AS, Hamsten A, Harris TB, Hazen SL, Hengstenberg C, Hofman A, Ingelsson E, Iribarren C, Jukema JW, Karhunen PJ, Kim BJ, Kooner JS, Kullo IJ, Lehtimäki T, Loos RJF, Melander O, Metspalu A, März W, Palmer CN, Perola M, Quertermous T, Rader DJ, Ridker PM, Ripatti S, Roberts R, Salomaa V, Sanghera DK, Schwartz SM, Seedorf U, Stewart AF, Stott DJ, Thiery J, Zalloua PA, O'Donnell CJ, Reilly MP, Assimes TL, Thompson JR, Erdmann J, Clarke R, Watkins H, Kathiresan S, McPherson R, Deloukas P, Schunkert H, Samani NJ, and Farrall M
Subjects: Humans, Phenotype, Coronary Artery Disease genetics, Genome, Human, Genome-Wide Association Study
Abstract: Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.
Published: 2015
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11. A common LPA null allele associates with lower lipoprotein(a) levels and coronary artery disease risk.

Author: Kyriakou T, Seedorf U, Goel A, Hopewell JC, Clarke R, Watkins H, and Farrall M
Subjects: Alleles, Case-Control Studies, Electrophoresis, Agar Gel, Gene Frequency, Genetic Predisposition to Disease, Genotype, High-Throughput Screening Assays, Humans, Kringles, Protein Isoforms genetics, Quantitative Trait Loci, Risk Factors, Apoprotein(a) genetics, Coronary Artery Disease genetics, Polymorphism, Single Nucleotide
Abstract: Objective: Increased levels of lipoprotein(a) are a highly heritable risk factor for coronary artery disease (CAD). The genetic determinants of lipoprotein(a) levels are mainly because of genetic variation in the apolipoprotein(a) gene (LPA). We have tested the association of a relatively common null allele of LPA with lipoprotein(a) levels and CAD risk in a large case-control cohort. We have also examined how null allele genotyping complements apolipoprotein(a) isoform typing to refine the relationship between LPA isoform size and circulating lipoprotein(a) levels., Approach and Results: The LPA null allele (rs41272114) was genotyped in the PROCARDIS (Precocious Coronary Artery Disease) case-control cohort (4073 CAD cases and 4225 controls). Lipoprotein(a) levels were measured in 909 CAD cases and 922 controls; apolipoprotein(a) isoform size was estimated using sodium dodecyl sulfate-agarose gel electrophoresis and a high-throughput quantitative polymerase chain reaction-based method. Null carriers are common (null allele frequency, 3%) and have significantly lower circulating lipoprotein(a) levels (P=2.1×10(-10)) and reduced CAD risk (odds ratio, 0.79 [0.66-0.97]; P=0.023) compared with noncarriers. An additive allelic model of apolipoprotein(a) isoform size, refined by null allele genotype and quantitative polymerase chain reaction values, showed a sigmoid relationship with lipoprotein(a) levels, with baseline levels for longer isoform alleles and progressively higher levels of lipoprotein(a) for shorter isoform alleles., Conclusions: The LPA null allele (rs41272114) is associated with decreased circulating lipoprotein(a) levels and decreased CAD risk. Incorporating rs41272114 refined apolipoprotein(a) isoform size typing obtained by immunoblotting and quantitative polymerase chain reaction. A joint genomic and isoform analysis revealed details of the relationship between apolipoprotein(a) isoform size and circulating lipoprotein(a) level consistent with a threshold effect on lipoprotein secretion., (© 2014 American Heart Association, Inc.)
Published: 2014
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12. Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.

Author: Dichgans M, Malik R, König IR, Rosand J, Clarke R, Gretarsdottir S, Thorleifsson G, Mitchell BD, Assimes TL, Levi C, O'Donnell CJ, Fornage M, Thorsteinsdottir U, Psaty BM, Hengstenberg C, Seshadri S, Erdmann J, Bis JC, Peters A, Boncoraglio GB, März W, Meschia JF, Kathiresan S, Ikram MA, McPherson R, Stefansson K, Sudlow C, Reilly MP, Thompson JR, Sharma P, Hopewell JC, Chambers JC, Watkins H, Rothwell PM, Roberts R, Markus HS, Samani NJ, Farrall M, and Schunkert H
Subjects: Data Interpretation, Statistical, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Brain Ischemia epidemiology, Brain Ischemia genetics, Coronary Artery Disease epidemiology, Coronary Artery Disease genetics, Genetic Predisposition to Disease epidemiology, Stroke epidemiology, Stroke genetics
Abstract: Background and Purpose: Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases., Methods: Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (P<0.01) for CAD for their association with IS and vice versa. We then examined specific overlap across phenotypes for variants that reached a high threshold of significance. Finally, we conducted a joint meta-analysis on the combined phenotype of IS or CAD. Corresponding analyses were performed restricted to the 2167 individuals with the ischemic large artery stroke (LAS) subtype., Results: Common variants associated with CAD at P<0.01 were associated with a significant excess risk for IS and for LAS and vice versa. Among the 42 known genome-wide significant loci for CAD, 3 and 5 loci were significantly associated with IS and LAS, respectively. In the joint meta-analyses, 15 loci passed genome-wide significance (P<5×10(-8)) for the combined phenotype of IS or CAD and 17 loci passed genome-wide significance for LAS or CAD. Because these loci had prior evidence for genome-wide significance for CAD, we specifically analyzed the respective signals for IS and LAS and found evidence for association at chr12q24/SH2B3 (PIS=1.62×10(-7)) and ABO (PIS=2.6×10(-4)), as well as at HDAC9 (PLAS=2.32×10(-12)), 9p21 (PLAS=3.70×10(-6)), RAI1-PEMT-RASD1 (PLAS=2.69×10(-5)), EDNRA (PLAS=7.29×10(-4)), and CYP17A1-CNNM2-NT5C2 (PLAS=4.9×10(-4))., Conclusions: Our results demonstrate substantial overlap in the genetic risk of IS and particularly the LAS subtype with CAD.
Published: 2014
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13. Large-scale association analysis identifies new risk loci for coronary artery disease.

Author: Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR, Ingelsson E, Saleheen D, Erdmann J, Goldstein BA, Stirrups K, König IR, Cazier JB, Johansson A, Hall AS, Lee JY, Willer CJ, Chambers JC, Esko T, Folkersen L, Goel A, Grundberg E, Havulinna AS, Ho WK, Hopewell JC, Eriksson N, Kleber ME, Kristiansson K, Lundmark P, Lyytikäinen LP, Rafelt S, Shungin D, Strawbridge RJ, Thorleifsson G, Tikkanen E, Van Zuydam N, Voight BF, Waite LL, Zhang W, Ziegler A, Absher D, Altshuler D, Balmforth AJ, Barroso I, Braund PS, Burgdorf C, Claudi-Boehm S, Cox D, Dimitriou M, Do R, Doney AS, El Mokhtari N, Eriksson P, Fischer K, Fontanillas P, Franco-Cereceda A, Gigante B, Groop L, Gustafsson S, Hager J, Hallmans G, Han BG, Hunt SE, Kang HM, Illig T, Kessler T, Knowles JW, Kolovou G, Kuusisto J, Langenberg C, Langford C, Leander K, Lokki ML, Lundmark A, McCarthy MI, Meisinger C, Melander O, Mihailov E, Maouche S, Morris AD, Müller-Nurasyid M, Nikus K, Peden JF, Rayner NW, Rasheed A, Rosinger S, Rubin D, Rumpf MP, Schäfer A, Sivananthan M, Song C, Stewart AF, Tan ST, Thorgeirsson G, van der Schoot CE, Wagner PJ, Wells GA, Wild PS, Yang TP, Amouyel P, Arveiler D, Basart H, Boehnke M, Boerwinkle E, Brambilla P, Cambien F, Cupples AL, de Faire U, Dehghan A, Diemert P, Epstein SE, Evans A, Ferrario MM, Ferrières J, Gauguier D, Go AS, Goodall AH, Gudnason V, Hazen SL, Holm H, Iribarren C, Jang Y, Kähönen M, Kee F, Kim HS, Klopp N, Koenig W, Kratzer W, Kuulasmaa K, Laakso M, Laaksonen R, Lee JY, Lind L, Ouwehand WH, Parish S, Park JE, Pedersen NL, Peters A, Quertermous T, Rader DJ, Salomaa V, Schadt E, Shah SH, Sinisalo J, Stark K, Stefansson K, Trégouët DA, Virtamo J, Wallentin L, Wareham N, Zimmermann ME, Nieminen MS, Hengstenberg C, Sandhu MS, Pastinen T, Syvänen AC, Hovingh GK, Dedoussis G, Franks PW, Lehtimäki T, Metspalu A, Zalloua PA, Siegbahn A, Schreiber S, Ripatti S, Blankenberg SS, Perola M, Clarke R, Boehm BO, O'Donnell C, Reilly MP, März W, Collins R, Kathiresan S, Hamsten A, Kooner JS, Thorsteinsdottir U, Danesh J, Palmer CN, Roberts R, Watkins H, Schunkert H, and Samani NJ
Subjects: Adult, Aged, Asian People, Cell Line, Female, Gene Regulatory Networks, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Risk Factors, White People genetics, Coronary Artery Disease genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Quantitative Trait Loci
Abstract: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
Published: 2013
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14. Lipids and lipoproteins and risk of different vascular events in the MRC/BHF Heart Protection Study.

Author: Parish S, Offer A, Clarke R, Hopewell JC, Hill MR, Otvos JD, Armitage J, and Collins R
Subjects: Adult, Aged, Aged, 80 and over, Anticholesteremic Agents administration & dosage, Female, Follow-Up Studies, Humans, Incidence, Male, Middle Aged, Placebos, Predictive Value of Tests, Proportional Hazards Models, Risk Factors, Arterial Occlusive Diseases blood, Arterial Occlusive Diseases epidemiology, Arterial Occlusive Diseases prevention & control, Cholesterol, HDL blood, Cholesterol, LDL blood, Coronary Artery Disease blood, Coronary Artery Disease epidemiology, Coronary Artery Disease prevention & control, Dyslipidemias blood, Dyslipidemias drug therapy, Dyslipidemias epidemiology, Simvastatin administration & dosage
Abstract: Background: Low-density lipoprotein (LDL) cholesterol and high-density lipoprotein (HDL) cholesterol are established risk factors for vascular disease, but lipoprotein particle concentrations may be stronger determinants of risk., Methods and Results: Associations between vascular events and baseline concentrations of cholesterol fractions, apolipoproteins B and A(1), and lipoprotein particles assessed by nuclear magnetic resonance were considered in the Heart Protection Study randomized trial of simvastatin versus placebo (>5000 vascular events during 5.3 years of follow-up among 20 000 participants). Major occlusive coronary events were equally strongly associated with the cholesterol- and particle-based total LDL measures; adjusted hazard ratios per 1-SD-higher level were 1.25 (95% confidence interval [CI], 1.16-1.34) for LDL cholesterol, 1.22 (95% CI, 1.14-1.32) for non-HDL cholesterol, 1.23 (95% CI, 1.15-1.33) for apolipoprotein B, and 1.25 (95% CI, 1.16-1.35) for LDL particle number. Given the total LDL particle number, the distribution between small and large particles did not add predictive value. Associations of these different LDL-related measures were similar with arterial revascularization procedures but much weaker or nonexistent with ischemic stroke and other cardiac events (mainly heart failure). After adjustment for LDL particle number, the hazard ratios for major occlusive coronary event per 1-SD-higher level were 0.91 (95% CI, 0.86-0.96) for HDL cholesterol and 0.89 (95% CI, 0.85-0.93) for HDL particle number. Other cardiac events were inversely associated with total (hazard ratio, 0.84; 95% CI, 0.79-0.90) and small (0.82; 95% CI, 0.76-0.89) HDL particle number but only very weakly associated with HDL cholesterol (0.94; 95% CI, 0.88-1.00)., Conclusions: In a population at 2% average coronary event risk per year, cholesterol, apolipoprotein, and particle measures of LDL were strongly correlated and had similar predictive values for incident major occlusive vascular events. It is unclear whether the associations between HDL particle numbers and other cardiac events represent a causal or reverse-causal effect.
Published: 2012
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15. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

Author: Aragam, Krishna G, Jiang, Tao, Goel, Anuj, Kanoni, Stavroula, Wolford, Brooke N, Atri, Deepak S, Weeks, Elle M, Wang, Minxian, Hindy, George, Zhou, Wei, Grace, Christopher, Roselli, Carolina, Marston, Nicholas A, Kamanu, Frederick K, Surakka, Ida, Venegas, Loreto Muñoz, Sherliker, Paul, Koyama, Satoshi, Ishigaki, Kazuyoshi, Åsvold, Bjørn O, Brown, Michael R, Brumpton, Ben, De Vries, Paul S, Giannakopoulou, Olga, Giardoglou, Panagiota, Gudbjartsson, Daniel F, Güldener, Ulrich, Haider, Syed M Ijlal, Helgadottir, Anna, Ibrahim, Maysson, Kastrati, Adnan, Kessler, Thorsten, Kyriakou, Theodosios, Konopka, Tomasz, Li, Ling, Ma, Lijiang, Meitinger, Thomas, Mucha, Sören, Munz, Matthias, Murgia, Federico, Nielsen, Jonas B, Nöthen, Markus M, Pang, Shichao, Reinberger, Tobias, Schnitzler, Gavin, Smedley, Damian, Thorleifsson, Gudmar, Von Scheidt, Moritz, Ulirsch, Jacob C, Danesh, John, Arnar, David O, Burtt, Noël P, Costanzo, Maria C, Flannick, Jason, Ito, Kaoru, Jang, Dong-Keun, Kamatani, Yoichiro, Khera, Amit V, Komuro, Issei, Kullo, Iftikhar J, Lotta, Luca A, Nelson, Christopher P, Roberts, Robert, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Webb, Thomas R, Baras, Aris, Björkegren, Johan LM, Boerwinkle, Eric, Dedoussis, George, Holm, Hilma, Hveem, Kristian, Melander, Olle, Morrison, Alanna C, Orho-Melander, Marju, Rallidis, Loukianos S, Ruusalepp, Arno, Sabatine, Marc S, Stefansson, Kari, Zalloua, Pierre, Ellinor, Patrick T, Farrall, Martin, Ruff, Christian T, Finucane, Hilary K, Hopewell, Jemma C, Clarke, Robert, Gupta, Rajat M, Erdmann, Jeanette, Samani, Nilesh J, Schunkert, Heribert, Watkins, Hugh, Willer, Cristen J, Deloukas, Panos, Kathiresan, Sekar, Butterworth, Adam S, Aragam, Krishna G [0000-0003-3223-9131], Goel, Anuj [0000-0003-2307-4021], Kanoni, Stavroula [0000-0002-1691-9615], Wolford, Brooke N [0000-0003-3153-1552], Atri, Deepak S [0000-0001-8139-5419], Weeks, Elle M [0000-0002-4317-4444], Wang, Minxian [0000-0002-3753-508X], Zhou, Wei [0000-0001-7719-0859], Roselli, Carolina [0000-0001-5267-6756], Kamanu, Frederick K [0000-0001-7208-1047], Koyama, Satoshi [0000-0002-9286-0360], Ishigaki, Kazuyoshi [0000-0003-2881-0657], Åsvold, Bjørn O [0000-0003-3837-2101], Brumpton, Ben [0000-0002-3058-1059], Gudbjartsson, Daniel F [0000-0002-5222-9857], Güldener, Ulrich [0000-0001-5052-8610], Helgadottir, Anna [0000-0002-1806-2467], Kessler, Thorsten [0000-0003-3326-1621], Li, Ling [0000-0002-3280-9475], Mucha, Sören [0000-0002-1647-2526], Munz, Matthias [0000-0002-4728-3357], Murgia, Federico [0000-0002-3608-845X], Pang, Shichao [0000-0002-4111-2864], Smedley, Damian [0000-0002-5836-9850], Thorleifsson, Gudmar [0000-0003-4623-9087], von Scheidt, Moritz [0000-0001-7159-8271], Ulirsch, Jacob C [0000-0002-7947-0827], Costanzo, Maria C [0000-0001-9043-693X], Flannick, Jason [0000-0002-3618-795X], Ito, Kaoru [0000-0003-1843-773X], Khera, Amit V [0000-0001-6535-5839], Komuro, Issei [0000-0002-0714-7182], Kullo, Iftikhar J [0000-0002-6524-3471], Roberts, Robert [0000-0002-6792-4633], Webb, Thomas R [0000-0001-5998-8226], Baras, Aris [0000-0002-6830-3396], Björkegren, Johan LM [0000-0003-1945-7425], Holm, Hilma [0000-0002-9517-6636], Morrison, Alanna C [0000-0001-6381-4296], Orho-Melander, Marju [0000-0002-3578-2503], Stefansson, Kari [0000-0003-1676-864X], Farrall, Martin [0000-0003-4564-2165], Finucane, Hilary K [0000-0003-3864-9828], Clarke, Robert [0000-0002-9802-8241], Erdmann, Jeanette [0000-0002-4486-6231], Samani, Nilesh J [0000-0002-3286-8133], Schunkert, Heribert [0000-0001-6428-3001], Watkins, Hugh [0000-0002-5287-9016], Willer, Cristen J [0000-0001-5645-4966], Kathiresan, Sekar [0000-0002-3711-7101], Butterworth, Adam S [0000-0002-6915-9015], and Apollo - University of Cambridge Repository
Subjects: 692/699/75/2, 631/208/205/2138, article, Humans, Coronary Artery Disease, Genome-Wide Association Study
Abstract: Funder: K.G.A. has received support from the American Heart Association Institute for Precision Cardiovascular Medicine (17IFUNP3384001), a KL2/Catalyst Medical Research Investigator Training (CMeRIT) award from the Harvard Catalyst (KL2 TR002542), and the NIH (1K08HL153937)., Funder: B.N.W is supported by the National Science Foundation Graduate Research Program (DGE 1256260)., Funder: I.S. is supported by a Precision Health Scholars Award from the University of Michigan Medical School., Funder: I.K., S.Ko., and K.It. are funded by the Japan Agency for Medical Research and Development, AMED, under Grant Numbers JP16ek0109070h0003, JP18kk0205008h0003, JP18kk0205001s0703, JP20km0405209, and JP20ek0109487. The BioBank Japan is supported by AMED under Grant Number JP20km0605001., Funder: J.L.M.B. acknowledges research support from NIH R01HL125863, American Heart Association (A14SFRN20840000), the Swedish Research Council (2018-02529) and Heart Lung Foundation (20170265) and the Foundation Leducq (PlaqueOmics: Novel Roles of Smooth Muscle and Other Matrix Producing Cells in Atherosclerotic Plaque Stability and Rupture, 18CVD02., Funder: P.S.dV was supported by American Heart Association grant number 18CDA34110116 and National Heart, Lung, and Blood Institute grant R01HL146860. The Atherosclerosis Risk in Communities study has been funded in whole or in part with Federal funds from the National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services (contract numbers HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700004I and HHSN268201700005I), R01HL087641, R01HL059367 and R01HL086694; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research., Funder: O.G. has received funding from the British Heart Foundation (BHF) (FS/14/66/3129)., Funder: T.K. is supported by the Corona-Foundation (Junior Research Group Translational Cardiovascular Genomics) and the German Research Foundation (DFG) as part of the Sonderforschungsbereich SFB 1123 (B02)., Funder: D.S.A. has received support from a training grant from the NIH (T32HL007604)., Funder: N.P.B., M.C.C., J.F., and D.-K.J. have been funded by the National Institute of Diabetes and Digestive and Kidney Diseases (2UM1DK105554)., Funder: A.V.K. has been funded by 1K08HG010155 from the National Human Genome Research Institute., Funder: C.P.N. and T.R.W received funding from the British Heart Foundation (SP/16/4/32697)., Funder: The Trøndelag Health Study (The HUNT Study) is a collaboration between HUNT Research Centre (Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology), Trøndelag County Council, Central Norway Regional Health Authority, and the Norwegian Institute of Public Health. The K.G. Jebsen Center for Genetic Epidemiology is financed by Stiftelsen Kristian Gerhard Jebsen; Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology; and Central Norway Regional Health Authority. Whole genome sequencing for the HUNT study was funded by HL109946., Funder: O.M. was funded by the Swedish Heart- and Lung Foundation, the Swedish Research Council, the European Research Council ERC-AdG-2019-885003 and Lund University Infrastructure grant ”Malmö population-based cohorts” (STYR 2019/2046)., Funder: This work was supported by the European Commission (HEALTH-F2–2013-601456) and the TriPartite Immunometabolism Consortium [TrIC]- NovoNordisk Foundation (NNF15CC0018486), VIAgenomics (SP/19/2/344612), the British Heart Foundation, a Wellcome Trust core award (M.F., H.W., 203141/Z/16/Z) and support from the NIHR Oxford Biomedical Research Centre. M.F. and H.W. are members of the Oxford BHF Centre of Research Excellence (RE/13/1/30181). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health., Funder: J.D. is a British Heart Foundation Professor, European Research Council Senior Investigator, and National Institute for Health Research (NIHR) Senior Investigator., Funder: J.C.H. acknowledges personal funding from the British Heart Foundation (FS/14/55/30806) and is a member of the Oxford BHF Centre of Research Excellence (RE/13/1/30181)., Funder: R.C. has received funding from the British Heart Foundation and British Heart Foundation Centre of Research Excellence., Funder: This research was supported by BHF (SP/13/2/30111) and conducted using the UK Biobank Resource (application number 9922)., Funder: The GerMIFs gratefully acknowledge the support of the Bavarian State Ministry of Health and Care, furthermore founded this work within its framework of DigiMed Bayern (grant No: DMB-1805-0001), the German Federal Ministry of Education and Research (BMBF) within the framework of ERA-NET on Cardiovascular Disease (Druggable-MI-genes: 01KL1802), within the scheme of target validation (BlockCAD: 16GW0198K), within the framework of the e:Med research and funding concept (AbCD-Net: 01ZX1706C), the British Heart Foundation (BHF)/German Centre of Cardiovascular Research (DZHK)-collaboration (VIAgenomics) and the German Research Foundation (DFG) as part of the Sonderforschungsbereich SFB 1123 (B02) and the Sonderforschungsbereich SFB TRR 267 (B05)., Funder: C.J.W. is funded by NIH grant R35-HL135824., Funder: This work was supported by the British Heart Foundation (BHF) grant RG/14/5/30893 (P.D.) and forms part of the research themes contributing to the translational research portfolios of the Barts Biomedical Research Centre funded by the UK National Institute for Health Research (NIHR)., The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci. We prioritized likely causal variants using functionally informed fine-mapping, yielding 42 associations with less than five variants in the 95% credible set. Similarity-based clustering suggested roles for early developmental processes, cell cycle signaling and vascular cell migration and proliferation in the pathogenesis of CAD. We prioritized 220 candidate causal genes, combining eight complementary approaches, including 123 supported by three or more approaches. Using CRISPR–Cas9, we experimentally validated the effect of an enhancer in MYO9B, which appears to mediate CAD risk by regulating vascular cell motility. Our analysis identifies and systematically characterizes >250 risk loci for CAD to inform experimental interrogation of putative causal mechanisms for CAD.
Published: 2022
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16. Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease

Author: Magosi, Lerato E, Goel, Anuj, Hopewell, Jemma C, Farrall, Martin, and Consortium, The Cardiogramplusc4D
Subjects: Multifactorial Inheritance, Research Design, Genetics and Population Analysis, Humans, Coronary Artery Disease, Original Papers, Genome-Wide Association Study
Abstract: Motivation Common small-effect genetic variants that contribute to human complex traits and disease are typically identified using traditional fixed-effect (FE) meta-analysis methods. However, the power to detect genetic associations under FE models deteriorates with increasing heterogeneity, so that some small-effect heterogeneous loci might go undetected. A modified random-effects meta-analysis approach (RE2) was previously developed that is more powerful than traditional fixed and random-effects methods at detecting small-effect heterogeneous genetic associations, the method was updated (RE2C) to identify small-effect heterogeneous variants overlooked by traditional fixed-effect meta-analysis. Here, we re-appraise a large-scale meta-analysis of coronary disease with RE2C to search for small-effect genetic signals potentially masked by heterogeneity in a FE meta-analysis. Results Our application of RE2C suggests a high sensitivity but low specificity of this approach for discovering small-effect heterogeneous genetic associations. We recommend that reports of small-effect heterogeneous loci discovered with RE2C are accompanied by forest plots and standardized predicted random-effects statistics to reveal the distribution of genetic effect estimates across component studies of meta-analyses, highlighting overly influential outlier studies with the potential to inflate genetic signals. Availability and implementation Scripts to calculate standardized predicted random-effects statistics and generate forest plots are available in the getspres R package entitled from https://magosil86.github.io/getspres/. Supplementary information Supplementary data are available at Bioinformatics online.
Published: 2019

17. Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer’s disease

Author: Grace, Christopher, Clarke, Robert, Goel, Anuj, Farrall, Martin, Watkins, Hugh, and Hopewell, Jemma C.
Subjects: Male, Science, Coronary Artery Disease, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment, Article, Phenotype, Alzheimer Disease, Risk Factors, Humans, Medicine, Female, Genetic Predisposition to Disease, cardiovascular diseases, Aged, Genome-Wide Association Study
Abstract: Epidemiological studies suggest a positive association between coronary artery disease (CAD) and late-onset Alzheimer’s disease (LOAD). This large-scale genetic study brings together ‘big data’ resources to examine the causal impact of genetic determinants of CAD on risk of LOAD. A two-sample Mendelian randomization approach was adopted to estimate the causal effect of CAD on risk of LOAD using summary data from 60,801 CAD cases from CARDIoGRAMplusC4D and 17,008 LOAD cases from the IGAP Consortium. Additional analyses assessed the independent relevance of genetic associations at the APOE locus for both CAD and LOAD. Higher genetically determined risk of CAD was associated with a slightly higher risk of LOAD (Odds Ratio (OR) per log-odds unit of CAD [95% CI]: 1.07 [1.01–1.15]; p = 0.027). However, after exclusion of the APOE locus, the estimate of the causal effect of CAD for LOAD was attenuated and no longer significant (OR 0.94 [0.88–1.01]; p = 0.072). This Mendelian randomization study indicates that the APOE locus is the chief determinant of shared genetic architecture between CAD and LOAD, and suggests a lack of causal relevance of CAD for risk of LOAD after exclusion of APOE.
Published: 2018

18. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Author: Ehret, Georg B., Munroe, Patricia B., Rice, Kenneth M., Bochud, Murielle, Johnson, Andrew D., Chasman, Daniel I., Smith, Albert V., Tobin, Martin D., Verwoert, Germaine C., Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F., Amin, Najaf, Bragg-Gresham, Jennifer L., Teumer, Alexander, Glazer, Nicole L., Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sober, Siim, Parsa, Afshin, Luan, Jian'an, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A., Jackson, Anne U., Peden, John F., Tanaka, Toshiko, Wild, Sarah H., Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N., Fava, Cristiano, Chambers, John C., Fox, Ervin R., Kumari, Meena, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H., Liu, Yongmei, Shi, Gang, Kuusisto, Johanna, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Hoang Nguyen, Khanh-Dung, Lehtimäki, Terho, Matullo, Giuseppe, Wu, Ying, Gaunt, Tom R., Charlotte Onland-Moret, N., Cooper, Matthew N., Platou, Carl G. P., Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S., Kuznetsova, Tatiana, Uiterwaal, Cuno S. P. M., Adeyemo, Adebowale, Palmas, Walter, Campbell, Harry, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D., Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C., O'Connell, Jeffrey R., Steinle, Nanette I., Grobbee, Diederick E., Arking, Dan E., Kardia, Sharon L., Morrison, Alanna C., Hernandez, Dena, Najjar, Samer, McArdle, Wendy L., Hadley, David, Brown, Morris J., Connell, John M., Hingorani, Aroon D., Day, Ian N. M., Lawlor, Debbie A., Beilby, John P., Lawrence, Robert W., Clarke, Robert, Hopewell, Jemma C., Ongen, Halit, Dreisbach, Albert W., Li, Yali, Hunter Young, J., Bis, Joshua C., Kähönen, Mika, Viikari, Jorma, Adair, Linda S., Lee, Nanette R., Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Frayling, Timothy M., Islam, Muhammad, Jafar, Tazeen H., Erdmann, Jeanette, Kulkarni, Smita R., Bornstein, Stefan R., Grässler, Jürgen, Groop, Leif, Voight, Benjamin F., Kettunen, Johannes, Howard, Philip, Taylor, Andrew, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Barroso, Inês, Khaw, Kay-Tee, Weder, Alan B., Hunt, Steven C., Sun, Yan V., Bergman, Richard N., Collins, Francis S., Bonnycastle, Lori L., Scott, Laura J., Stringham, Heather M., Peltonen, Leena, Perola, Markus, Vartiainen, Erkki, Brand, Stefan-Martin, Staessen, Jan A., Wang, Thomas J., Burton, Paul R., Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K., Rudock, Megan E., Heckbert, Susan R., Smith, Nicholas L., Wiggins, Kerri L., Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairaj, Tripathy, Vikal, Langefeld, Carl D., Rosengren, Annika, Thelle, Dag S., Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, McKenzie, Colin A., Salako, Tunde, Iwai, Naoharu, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H. -Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S., Zhang, Weihua, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Wong, Andrew, Narisu, Narisu, Stančáková, Alena, Raffel, Leslie J., Yao, Jie, Kathiresan, Sekar, O'Donnell, Christopher J., Schwartz, Stephen M., Arfan Ikram, M., Longstreth Jr. , W. T., Mosley, Thomas H., Seshadri, Sudha, Shrine, Nick R. G., Wain, Louise V., Morken, Mario A., Swift, Amy J., Laitinen, Jaana, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A., Humphries, Steve E., Danesh, John, Rasheed, Asif, Goel, Anuj, Hamsten, Anders, Watkins, Hugh, Bakker, Stephan J. L., van Gilst, Wiek H., Janipalli, Charles S., Radha Mani, K., Yajnik, Chittaranjan S., Hofman, Albert, Mattace-Raso, Francesco U. S., Oostra, Ben A., Demirkan, Ayse, Isaacs, Aaron, Rivadeneira, Fernando, Lakatta, Edward G., Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J., Lyytikäinen, Leo-Pekka, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Twee-HeeOng, Rick, Dörr, Marcus, Kroemer, Heyo K., Völker, Uwe, Völzke, Henry, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Deloukas, Panos, Mangino, Massimo, Spector, Tim D., Zhai, Guangju, Meschia, James F., Nalls, Michael A., Sharma, Pankaj, Terzic, Janos, Kranthi Kumar, M. V., Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E., Fowkes, F. Gerald R., Charchar, Fadi J., Schwarz, Peter E. H., Hayward, Caroline, Guo, Xiuqing, Rotimi, Charles, Bots, Michiel L., Brand, Eva, Samani, Nilesh J., Polasek, Ozren, Talmud, Philippa J., Nyberg, Fredrik, Kuh, Diana, Laan, Maris, Hveem, Kristian, Palmer, Lyle J., van der Schouw, Yvonne T., Casas, Juan P., Mohlke, Karen L., Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K., Wong, Tien Y., Shyong Tai, E., Cooper, Richard S., Laakso, Markku, Rao, Dabeeru C., Harris, Tamara B., Morris, Richard W., Dominiczak, Anna F., Kivimaki, Mika, Marmot, Michael G., Miki, Tetsuro, Saleheen, Danish, Chandak, Giriraj R., Coresh, Josef, Navis, Gerjan, Salomaa, Veikko, Han, Bok-Ghee, Zhu, Xiaofeng, Kooner, Jaspal S., Melander, Olle, Ridker, Paul M., Bandinelli, Stefania, Gyllensten, Ulf B., Wright, Alan F., Wilson, James F., Ferrucci, Luigi, Farrall, Martin, Tuomilehto, Jaakko, Pramstaller, Peter P., Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric J. G., Altshuler, David, Loos, Ruth J. F., Shuldiner, Alan R., Gieger, Christian, Meneton, Pierre, Uitterlinden, Andre G., Wareham, Nicholas J., Gudnason, Vilmundur, Rotter, Jerome I., Rettig, Rainer, Uda, Manuela, Strachan, David P., Witteman, Jacqueline C. M., Hartikainen, Anna-Liisa, Beckmann, Jacques S., Boerwinkle, Eric, Vasan, Ramachandran S., Boehnke, Michael, Larson, Martin G., Järvelin, Marjo-Riitta, Psaty, Bruce M., Abecasis, Gonçalo R., Chakravarti, Aravinda, Elliott, Paul, van Duijn, Cornelia M., Newton-Cheh, Christopher, Levy, Daniel, Caulfield, Mark J., Johnson, Toby, Tang H, Knowles J, Hlatky M, Fortmann S, Assimes TL, Quertermous T, Go A, Iribarren C, Absher D, Risch N, Meyers R, Sidney S, Ziegler A, Schillert A, Bickel C, Sinning C, Rupprecht HJ, Lackner K, Wild P, Schnabel R, Blankenberg S, Zeller T, Münzel T, Perret C, Cambien F, Tiret L, Nicaud V, Proust C, Dehghan A, Hofman A, Uitterlinden A, van Duijn C, Levy D, Whitteman J, Cupples LA, Demissie-Banjaw S, Ramachandran V, Smith A, Gudnason V, Boerwinkle E, Folsom A, Morrison A, Psaty BM, Chen IY, Rotter JI, Bis J, Volcik K, Rice K, Taylor KD, Marciante K, Smith N, Glazer N, Heckbert S, Harris T, Lumley T, Kong A, Thorleifsson G, Thorgeirsson G, Holm H, Gulcher JR, Stefansson K, Andersen K, Gretarsdottir S, Thorsteinsdottir U, Preuss M, Schreiber S, Meitinger T, König IR, Lieb W, Hengstenberg C, Schunkert H, Erdmann J, Fisher M, Grosshennig A, Medack A, Stark K, Linsel-Nitschke P, Bruse P, Aherrahrou Z, Peters A, Loley C, Willenborg C, Nahrstedt J, Freyer J, Gulde S, Doering A, Meisinger C, Wichmann HE, Klopp N, Illig T, Meinitzer A, Tomaschitz A, Halperin E, Dobnig H, Scharnagl H, Kleber M, Laaksonen R, Pilz S, Grammer TB, Stojakovic T, Renner W, März W, Böhm BO, Winkelmann BR, Winkler K, Hoffmann M, O'Donnell CJ, Voight BF, Altshuler D, Siscovick DS, Musunuru K, Peltonen L, Barbalic M, Melander O, Elosua R, Kathiresan S, Schwartz SM, Salomaa V, Guiducci C, Burtt N, Gabriel SB, Stewart AF, Wells GA, Chen L, Jarinova O, Roberts R, McPherson R, Dandona S, Pichard AD, Rader DJ, Devaney J, Lindsay JM, Kent KM, Qu L, Satler L, Burnett MS, Li M, Reilly MP, Wilensky R, Waksman R, Epstein S, Mattha W, Knouf CW, Waterworth DM, Hakonarson HH, Walker M, Mooser V, Hall AS, Balmforth AJ, Wright BJ, Nelson C, Thompson JR, Samani NJ, Braund PS, Ball SG, Smith NL, Felix JF, Morrison AC, Demissie S, Glazer NL, Loehr LR, Rosamond WD, Rivadeneira F, Bis JC, Folsom AR, Benjamin E, Aulchenko YS, Haritunians T, Couper D, Murabito J, Wang YA, Stricker B, Gottdiener JS, Chang PP, Wang TJ, Rice KM, Heckbert SR, Fox ER, Uitterlinden AG, Willerson JT, van Duijn CM, Witteman JC, Vasan RS, Köttgen A, Pattaro C, Böger CA, Fuchsberger C, Olden M, Parsa A, Gao X, Yang Q, Smith AV, O'Connell JR, Schmidt H, Tanaka T, Isaacs A, Ketkar S, Hwang SJ, Johnson A, Teumer A, Paré G, Atkinson EJ, Lohman K, Cornelis MC, Probst-Hensch NM, Kronenberg F, Tönjes A, Hayward C, Aspelund T, Eiriksdottir G, Launer LJ, Harris TB, Rampersaud E, Mitchell BD, Arking DE, Struchalin M, Cavalieri M, Singleton A, Giallauria, Francesco, Metter J, de Boer J, Siscovick D, Zillikens MC, Oostra BA, Feitosa M, Province M, de Andrade M, Turne ST, Wild PS, Schnabel RB, Wilde S, Munzel TF, Leak TS, Koenig W, Zgaga L, Zemunik T, Kolcic I, Minelli C, Hu FB, Johansson A, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Imboden M, Nitsch D, Brandstätter A, Kollerits B, Kedenko L, Mägi R, Stumvoll M, Kovacs P, Boban M, Campbell S, Endlich K, Völzke H, Kroemer HK, Nauck M, Völker U, Polasek O, Vitart V, Badola S, Parker AN, Ridker PM, Kardia SL, Liu Y, Curhan GC, Franke A, Rochat T, Paulweber B, Prokopenko I, Wang W, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Shlipak MG, Borecki I, Krämer BK, Rudan I, Gyllensten U, Wilson JF, Pramstaller PP, Rettig R, Hastie N, Chasman DI, Kao WH, Heid IM, Fox CS, Vasan R, Felix SB, Watzinger N, Larson MG, Homuth G, Aragam J, Dörr M, Zweiker R, Lind L, Rodeheffer RJ, Greiser KH, Deckers JW, Stritzke J, Lackner KJ, Ingelsson E, Kullo I, Haerting J, Stricker BH, Reffelmann T, Redfield MM, Werdan K, Mitchell GF, Arnett D, Blettner M, Friedrich N, Benjamin EJ, Chambers JC, Zhang W, Lord GM, van der Harst P, Lawlor DA, Sehmi JS, Gale DP, Wass MN, Ahmadi KR, Bakker SJ, Beckmann J, Bilo HJ, Bochud M, Brown MJ, Caulfield MJ, Connell JM, Cook HT, Cotlarciuc I, Davey Smith G, de Silva R, Deng G, Devuyst O, Dikkeschei LD, Dimkovic T, Dockrell M, Dominiczak A, Ebrahim S, Eggermann T, Farrall M, Floege J, Forouhi NG, Gansevoort RT, Han X, Hedblad B, Homan van der Heide JJ, Hepkema BG, Hernandez-Fuentes M, Hypponen E, Johnson T, de Jong PE, Kleefstra N, Lagou V, Lapsley M, Li Y, Loos RJ, Luan J, Luttropp K, Maréchal C, Munroe PB, Nordfors L, Penninx BW, Perucha E, Pouta A, Roderick PJ, Ruokonen A, Sanna S, Schalling M, Schlessinger D, Schlieper G, Seelen MA, Sjögren M, Smit JH, Snieder H, Soranzo N, Spector TD, Stenvinkel P, Sternberg MJ, Swaminathan R, Ubink-Veltmaat LJ, Uda M, Vollenweider P, Wallace C, Waterworth D, Zerres K, Waeber G, Wareham NJ, Maxwell PH, McCarthy MI, Jarvelin MR, Abecasis GR, Lightstone L, Scott J, Navis G, Elliot P, Kooner JS., AII - Amsterdam institute for Infection and Immunity, Nephrology, Epidemiologie, RS: CARIM School for Cardiovascular Diseases, Epidemiology, Medical Microbiology & Infectious Diseases, Radiology & Nuclear Medicine, Cardiology, Internal Medicine, Clinical Genetics, Erasmus MC other, Obstetrics & Gynecology, International Consortium for Blood Pressure Genome-Wide Association Studies, CARDIoGRAM consortium, CKDGen Consortium, KidneyGen Consortium, EchoGen consortium, CHARGE-HF consortium, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Barroso, Ines [0000-0001-5800-4520], Khaw, Kay-Tee [0000-0002-8802-2903], Danesh, John [0000-0003-1158-6791], Soranzo, Nicole [0000-0003-1095-3852], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Center for Complex Disease Genomics, Johns Hopkins University School of Medicine, Clinical Pharmacology and The Genome Centre, Queen Mary University of London (QMUL), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Center for Human Genetic Research, Massachusetts General Hospital [Boston], Program in Medical and Population Genetics, Harvard University-Massachusetts Institute of Technology (MIT), Ehret, Georg B., Munroe, Patricia B., Rice, Kenneth M., Bochud, Murielle, Johnson, Andrew D., Chasman, Daniel I., Smith, Albert V., Tobin, Martin D., Verwoert, Germaine C., Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F., Amin, Najaf, Bragg-Gresham, Jennifer L., Teumer, Alexander, Glazer, Nicole L., Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sober, Siim, Parsa, Afshin, Luan, Jian'An, Arora, Pankaj, Dehghan, Abba, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A., Jackson, Anne U., Peden, John F., Tanaka, Toshiko, Wild, Sarah H., Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N., Fava, Cristiano, Chambers, John C., Fox, Ervin R., Kumari, Meena, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H., Liu, Yongmei, Shi, Gang, Kuusisto, Johanna, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Hoang Nguyen, Khanh-Dung, Lehtimäki, Terho, Matullo, Giuseppe, Wu, Ying, Gaunt, Tom R., Charlotte Onland-Moret, N., Cooper, Matthew N., Platou, Carl G. P., Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S., Kuznetsova, Tatiana, Uiterwaal, Cuno S. P. M., Adeyemo, Adebowale, Palmas, Walter, Campbell, Harry, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D., Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C., O'Connell, Jeffrey R., Steinle, Nanette I., Grobbee, Diederick E., Arking, Dan E., Kardia, Sharon L., Morrison, Alanna C., Hernandez, Dena, Najjar, Samer, Mcardle, Wendy L., Hadley, David, Brown, Morris J., Connell, John M., Hingorani, Aroon D., Day, Ian N. M., Lawlor, Debbie A., Beilby, John P., Lawrence, Robert W., Clarke, Robert, Hopewell, Jemma C., Ongen, Halit, Dreisbach, Albert W., Li, Yali, Hunter Young, J., Bis, Joshua C., Kähönen, Mika, Viikari, Jorma, Adair, Linda S., Lee, Nanette R., Chen, Ming-Huei, Olden, Matthia, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Frayling, Timothy M., Islam, Muhammad, Jafar, Tazeen H., Erdmann, Jeanette, Kulkarni, Smita R., Bornstein, Stefan R., Grässler, Jürgen, Groop, Leif, Voight, Benjamin F., Kettunen, Johanne, Howard, Philip, Taylor, Andrew, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Barroso, Inê, Khaw, Kay-Tee, Weder, Alan B., Hunt, Steven C., Sun, Yan V., Bergman, Richard N., Collins, Francis S., Bonnycastle, Lori L., Scott, Laura J., Stringham, Heather M., Peltonen, Leena, Perola, Marku, Vartiainen, Erkki, Brand, Stefan-Martin, Staessen, Jan A., Wang, Thomas J., Burton, Paul R., Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K., Rudock, Megan E., Heckbert, Susan R., Smith, Nicholas L., Wiggins, Kerri L., Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margu, Kinra, Sanjay, Prabhakaran, Dorairaj, Tripathy, Vikal, Langefeld, Carl D., Rosengren, Annika, Thelle, Dag S., Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, Mckenzie, Colin A., Salako, Tunde, Iwai, Naoharu, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thoma, Wichmann, H. -Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, Jame, Sehmi, Joban S., Zhang, Weihua, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Wong, Andrew, Narisu, Narisu, Stančáková, Alena, Raffel, Leslie J., Yao, Jie, Kathiresan, Sekar, O'Donnell, Christopher J., Schwartz, Stephen M., Arfan Ikram, M., Longstreth Jr., W. T., Mosley, Thomas H., Seshadri, Sudha, Shrine, Nick R. G., Wain, Louise V., Morken, Mario A., Swift, Amy J., Laitinen, Jaana, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A., Humphries, Steve E., Danesh, John, Rasheed, Asif, Goel, Anuj, Hamsten, Ander, Watkins, Hugh, Bakker, Stephan J. L., van Gilst, Wiek H., Janipalli, Charles S., Radha Mani, K., Yajnik, Chittaranjan S., Hofman, Albert, Mattace-Raso, Francesco U. S., Oostra, Ben A., Demirkan, Ayse, Isaacs, Aaron, Rivadeneira, Fernando, Lakatta, Edward G., Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J., Lyytikäinen, Leo-Pekka, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Twee-HeeOng, Rick, Dörr, Marcu, Kroemer, Heyo K., Völker, Uwe, Völzke, Henry, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Deloukas, Pano, Mangino, Massimo, Spector, Tim D., Zhai, Guangju, Meschia, James F., Nalls, Michael A., Sharma, Pankaj, Terzic, Jano, Kranthi Kumar, M. V., Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E., Fowkes, F. Gerald R., Charchar, Fadi J., Schwarz, Peter E. H., Hayward, Caroline, Guo, Xiuqing, Rotimi, Charle, Bots, Michiel L., Brand, Eva, Samani, Nilesh J., Polasek, Ozren, Talmud, Philippa J., Nyberg, Fredrik, Kuh, Diana, Laan, Mari, Hveem, Kristian, Palmer, Lyle J., van der Schouw, Yvonne T., Casas, Juan P., Mohlke, Karen L., Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K., Wong, Tien Y., Shyong Tai, E., Cooper, Richard S., Laakso, Markku, Rao, Dabeeru C., Harris, Tamara B., Morris, Richard W., Dominiczak, Anna F., Kivimaki, Mika, Marmot, Michael G., Miki, Tetsuro, Saleheen, Danish, Chandak, Giriraj R., Coresh, Josef, Navis, Gerjan, Salomaa, Veikko, Han, Bok-Ghee, Zhu, Xiaofeng, Kooner, Jaspal S., Melander, Olle, Ridker, Paul M., Bandinelli, Stefania, Gyllensten, Ulf B., Wright, Alan F., Wilson, James F., Ferrucci, Luigi, Farrall, Martin, Tuomilehto, Jaakko, Pramstaller, Peter P., Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric J. G., Altshuler, David, Loos, Ruth J. F., Shuldiner, Alan R., Gieger, Christian, Meneton, Pierre, Uitterlinden, Andre G., Wareham, Nicholas J., Gudnason, Vilmundur, Rotter, Jerome I., Rettig, Rainer, Uda, Manuela, Strachan, David P., Witteman, Jacqueline C. M., Hartikainen, Anna-Liisa, Beckmann, Jacques S., Boerwinkle, Eric, Vasan, Ramachandran S., Boehnke, Michael, Larson, Martin G., Järvelin, Marjo-Riitta, Psaty, Bruce M., Abecasis, Gonçalo R., Chakravarti, Aravinda, Elliott, Paul, van Duijn, Cornelia M., Newton-Cheh, Christopher, Levy, Daniel, Caulfield, Mark J., Johnson, Toby, Tang, H, Knowles, J, Hlatky, M, Fortmann, S, Assimes, Tl, Quertermous, T, Go, A, Iribarren, C, Absher, D, Risch, N, Meyers, R, Sidney, S, Ziegler, A, Schillert, A, Bickel, C, Sinning, C, Rupprecht, Hj, Lackner, K, Wild, P, Schnabel, R, Blankenberg, S, Zeller, T, Münzel, T, Perret, C, Cambien, F, Tiret, L, Nicaud, V, Proust, C, Dehghan, A, Hofman, A, Uitterlinden, A, van Duijn, C, Levy, D, Whitteman, J, Cupples, La, Demissie-Banjaw, S, Ramachandran, V, Smith, A, Gudnason, V, Boerwinkle, E, Folsom, A, Morrison, A, Psaty, Bm, Chen, Iy, Rotter, Ji, Bis, J, Volcik, K, Rice, K, Taylor, Kd, Marciante, K, Smith, N, Glazer, N, Heckbert, S, Harris, T, Lumley, T, Kong, A, Thorleifsson, G, Thorgeirsson, G, Holm, H, Gulcher, Jr, Stefansson, K, Andersen, K, Gretarsdottir, S, Thorsteinsdottir, U, Preuss, M, Schreiber, S, Meitinger, T, König, Ir, Lieb, W, Hengstenberg, C, Schunkert, H, Erdmann, J, Fisher, M, Grosshennig, A, Medack, A, Stark, K, Linsel-Nitschke, P, Bruse, P, Aherrahrou, Z, Peters, A, Loley, C, Willenborg, C, Nahrstedt, J, Freyer, J, Gulde, S, Doering, A, Meisinger, C, Wichmann, He, Klopp, N, Illig, T, Meinitzer, A, Tomaschitz, A, Halperin, E, Dobnig, H, Scharnagl, H, Kleber, M, Laaksonen, R, Pilz, S, Grammer, Tb, Stojakovic, T, Renner, W, März, W, Böhm, Bo, Winkelmann, Br, Winkler, K, Hoffmann, M, O'Donnell, Cj, Voight, Bf, Altshuler, D, Siscovick, D, Musunuru, K, Peltonen, L, Barbalic, M, Melander, O, Elosua, R, Kathiresan, S, Schwartz, Sm, Salomaa, V, Guiducci, C, Burtt, N, Gabriel, Sb, Stewart, Af, Wells, Ga, Chen, L, Jarinova, O, Roberts, R, Mcpherson, R, Dandona, S, Pichard, Ad, Rader, Dj, Devaney, J, Lindsay, Jm, Kent, Km, Qu, L, Satler, L, Burnett, M, Li, M, Reilly, Mp, Wilensky, R, Waksman, R, Epstein, S, Mattha, W, Knouf, Cw, Waterworth, Dm, Hakonarson, Hh, Walker, M, Mooser, V, Hall, A, Balmforth, Aj, Wright, Bj, Nelson, C, Thompson, Jr, Samani, Nj, Braund, P, Ball, Sg, Smith, Nl, Felix, Jf, Morrison, Ac, Demissie, S, Glazer, Nl, Loehr, Lr, Rosamond, Wd, Rivadeneira, F, Bis, Jc, Folsom, Ar, Benjamin, E, Aulchenko, Y, Haritunians, T, Couper, D, Murabito, J, Wang, Ya, Stricker, B, Gottdiener, J, Chang, Pp, Wang, Tj, Rice, Km, Heckbert, Sr, Fox, Er, Uitterlinden, Ag, Willerson, Jt, van Duijn, Cm, Witteman, Jc, Vasan, R, Köttgen, A, Pattaro, C, Böger, Ca, Fuchsberger, C, Olden, M, Parsa, A, Gao, X, Yang, Q, Smith, Av, O'Connell, Jr, Schmidt, H, Tanaka, T, Isaacs, A, Ketkar, S, Hwang, Sj, Johnson, A, Teumer, A, Paré, G, Atkinson, Ej, Lohman, K, Cornelis, Mc, Probst-Hensch, Nm, Kronenberg, F, Tönjes, A, Hayward, C, Aspelund, T, Eiriksdottir, G, Launer, Lj, Harris, Tb, Rampersaud, E, Mitchell, Bd, Arking, De, Struchalin, M, Cavalieri, M, Singleton, A, Giallauria, Francesco, Metter, J, de Boer, J, Zillikens, Mc, Oostra, Ba, Feitosa, M, Province, M, de Andrade, M, Turne, St, Schnabel, Rb, Wilde, S, Munzel, Tf, Leak, T, Koenig, W, Zgaga, L, Zemunik, T, Kolcic, I, Minelli, C, Hu, Fb, Johansson, A, Igl, W, Zaboli, G, Wild, Sh, Wright, Af, Campbell, H, Ellinghaus, D, Imboden, M, Nitsch, D, Brandstätter, A, Kollerits, B, Kedenko, L, Mägi, R, Stumvoll, M, Kovacs, P, Boban, M, Campbell, S, Endlich, K, Völzke, H, Kroemer, Hk, Nauck, M, Völker, U, Polasek, O, Vitart, V, Badola, S, Parker, An, Ridker, Pm, Kardia, Sl, Liu, Y, Curhan, Gc, Franke, A, Rochat, T, Paulweber, B, Prokopenko, I, Wang, W, Shuldiner, Ar, Coresh, J, Schmidt, R, Ferrucci, L, Shlipak, Mg, Borecki, I, Krämer, Bk, Rudan, I, Gyllensten, U, Wilson, Jf, Pramstaller, Pp, Rettig, R, Hastie, N, Chasman, Di, Kao, Wh, Heid, Im, Fox, C, Felix, Sb, Watzinger, N, Larson, Mg, Homuth, G, Aragam, J, Dörr, M, Zweiker, R, Lind, L, Rodeheffer, Rj, Greiser, Kh, Deckers, Jw, Stritzke, J, Lackner, Kj, Ingelsson, E, Kullo, I, Haerting, J, Stricker, Bh, Reffelmann, T, Redfield, Mm, Werdan, K, Mitchell, Gf, Arnett, D, Blettner, M, Friedrich, N, Benjamin, Ej, Chambers, Jc, Zhang, W, Lord, Gm, van der Harst, P, Lawlor, Da, Sehmi, J, Gale, Dp, Wass, Mn, Ahmadi, Kr, Bakker, Sj, Beckmann, J, Bilo, Hj, Bochud, M, Brown, Mj, Caulfield, Mj, Connell, Jm, Cook, Ht, Cotlarciuc, I, Davey Smith, G, de Silva, R, Deng, G, Devuyst, O, Dikkeschei, Ld, Dimkovic, T, Dockrell, M, Dominiczak, A, Ebrahim, S, Eggermann, T, Farrall, M, Floege, J, Forouhi, Ng, Gansevoort, Rt, Han, X, Hedblad, B, Homan van der Heide, Jj, Hepkema, Bg, Hernandez-Fuentes, M, Hypponen, E, Johnson, T, de Jong, Pe, Kleefstra, N, Lagou, V, Lapsley, M, Li, Y, Loos, Rj, Luan, J, Luttropp, K, Maréchal, C, Munroe, Pb, Nordfors, L, Penninx, Bw, Perucha, E, Pouta, A, Roderick, Pj, Ruokonen, A, Sanna, S, Schalling, M, Schlessinger, D, Schlieper, G, Seelen, Ma, Sjögren, M, Smit, Jh, Snieder, H, Soranzo, N, Spector, Td, Stenvinkel, P, Sternberg, Mj, Swaminathan, R, Ubink-Veltmaat, Lj, Uda, M, Vollenweider, P, Wallace, C, Waterworth, D, Zerres, K, Waeber, G, Wareham, Nj, Maxwell, Ph, Mccarthy, Mi, Jarvelin, Mr, Abecasis, Gr, Lightstone, L, Scott, J, Navis, G, Elliot, P, and Kooner, Js.
Subjects: novel loci, Kidney Disease, Polymorphism, Single Nucleotide/*genetics, [SDV]Life Sciences [q-bio], left ventricular wall thickness, LOCI, Genome-wide association study, Blood Pressure, Disease, Coronary Artery Disease, 030204 cardiovascular system & hematology, Coronary artery disease, 0302 clinical medicine, RELEVANCE, Africa/ethnology, Cardiovascular Disease, genetics, Kidney Diseases/genetics, Stroke, genome wide association study, POPULATION, ta118, Blood pressure, hypertension, stroke, coronary artery disease, ddc:616, 0303 health sciences, education.field_of_study, Asia/ethnology, Multidisciplinary, Coronary Artery Disease/genetics, COMMON VARIANTS, Genetic Predisposition to Disease/*genetics, 3. Good health, Europe, Cardiovascular Diseases, Hypertension, Cardiology, Kidney Diseases, HEALTH, Human, medicine.medical_specialty, Asia, Population, Renal function, Polymorphism, Single Nucleotide, Europe/ethnology, Article, CLONING, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Stroke/genetics, Internal medicine, medicine, Humans, Cardiovascular Diseases/*genetics, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, METAANALYSIS, 030304 developmental biology, RECEPTOR, genes, blood pressure, cardiovascular disease risk, medicine.disease, Africa, Blood Pressure/*genetics/physiology, Hypertension/genetics, Kidney disease, Genome-Wide Association Study
Abstract: Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention. ispartof: Nature vol:478 issue:7367 pages:103-109 ispartof: location:England status: published
Published: 2011

19. Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease

Author: McLeod, Olga, Silveira, Angela, Valdes-Marquez, Elsa, Björkbacka, Harry, Almgren, Peter, Gertow, Karl, Gådin, Jesper R., Bäcklund, Alexandra, Sennblad, Bengt, Baldassarre, Damiano, Veglia, Fabrizio, Humphries, Steve E., Tremoli, Elena, de Faire, Ulf, Nilsson, Jan, Melander, Olle, Hopewell, Jemma C., Clarke, Robert, Björck, Hanna M., Hamsten, Anders, Öhrvik, John, and Strawbridge, Rona J.
Subjects: Male, Intima-media thickness, Immunology, Gene Expression, IMT-Bifmax, max of IMT measures in the carotid bifurcation, Coronary Artery Disease, Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, Biochemistry, Article, IMT-CCmax, max of IMT measures in the common carotid, Leukocyte Count, Risk Factors, Genetics, Humans, Immunology and Allergy, Genetic Predisposition to Disease, cardiovascular diseases, Subclinical atherosclerosis, Molecular Biology, Aged, Chromosomes, Human, Pair 14, IL-5, Eosinophil count, Hematology, Middle Aged, Plaque, Atherosclerotic, IMT-Bifmean, mean of IMT measures in the carotid bifurcation, Acid Anhydride Hydrolases, DNA-Binding Proteins, Eosinophils, Europe, DNA Repair Enzymes, Genetics, Population, Genetic Loci, IMT-CCmean, mean of IMT measures in the common carotid, cardiovascular system, Linear Models, RAD50, IMTmean-max, mean of the maximum IMT measures along the entire carotid tree, Chromosomes, Human, Pair 5, Female, Interleukin-5, Genome-Wide Association Study
Abstract: Highlights • Two loci identified for IL-5 levels on chromosomes and 14. • One locus on chromosome 5 was identified for eosinophil count. • The chromosome 5 loci are in close proximity, but independent and non-overlapping. • IL-5-associated SNPs were not associated with carotid intima-media thickness. • Eosinophil-associated SNPs were not associated with carotid intima-media thickness., IL-5 is a Th2 cytokine which activates eosinophils and is suggested to have an atheroprotective role. Genetic variants in the IL5 locus have been associated with increased risk of CAD and ischemic stroke. In this study we aimed to identify genetic variants associated with IL-5 concentrations and apply a Mendelian randomisation approach to assess IL-5 levels for causal effect on intima-media thickness in a European population at high risk of coronary artery disease. We analysed SNPs within robustly associated candidate loci for immune, inflammatory, metabolic and cardiovascular traits. We identified 2 genetic loci for IL-5 levels (chromosome 5, rs56183820, BETA = 0.11, P = 6.73E−5 and chromosome 14, rs4902762, BETA = 0.12, P = 5.76E−6) and one for eosinophil count (rs72797327, BETA = −0.10, P = 1.41E−6). Both chromosome 5 loci were in the vicinity of the IL5 gene, however the association with IL-5 levels failed to replicate in a meta-analysis of 2 independent cohorts (rs56183820, BETA = 0.04, P = 0.2763, I2 = 24, I2 − P = 0.2516). No significant associations were observed between SNPs associated with IL-5 levels or eosinophil count and IMT measures. Expression quantitative trait analyses indicate effects of the IL-5 and eosinophil-associated SNPs on RAD50 mRNA expression levels (rs12652920 (r2 = 0.93 with rs56183820) BETA = −0.10, P = 8.64E−6 and rs11739623 (r2 = 0.96 with rs72797327) BETA = −0.23, P = 1.74E−29, respectively). Our data do not support a role for IL-5 levels and eosinophil count in intima-media thickness, however SNPs associated with IL-5 and eosinophils might influence stability of the atherosclerotic plaque via modulation of RAD50 levels.
Published: 2016

20. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Schmidt, Amand F., Holmes, Michael V., Preiss, David, Swerdlow, Daniel I., Denaxas, Spiros, Fatemifar, Ghazaleh, Faraway, Rupert, Finan, Chris, Valentine, Dennis, Fairhurst-Hunter, Zammy, Hartwig, Fernando Pires, Horta, Bernardo Lessa, Hypponen, Elina, Power, Christine, Moldovan, Max, Van Iperen, Erik, Hovingh, Kees, Demuth, Ilja, Norman, Kristina, Steinhagen-Thiessen, Elisabeth, Demuth, Juri, Bertram, Lars, Lill, Christina M., Coassin, Stefan, Willeit, Johann, Kiechl, Stefan, Willeit, Karin, Mason, Dan, Wright, John, Morris, Richard, Wanamethee, Goya, Whincup, Peter, Ben-Shlomo, Yoav, McLachlan, Stela, Price, Jackie F., Kivimaki, Mika, Welch, Catherine, Sanchez-Galvez, Adelaida, Marques-Vidal, Pedro, Nicolaides, Andrew, Panayiotou, Andrie G., Onland-Moret, N. Charlotte, Van Der Schouw, Yvonne T., Matullo, Giuseppe, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Wareham, Nicholas J., Langenberg, Claudia, Scott, Robert A., Luan, Jian’an, Bobak, Martin, Malyutina, Sofia, Pająk, Andrzej, Kubinova, Ruzena, Tamosiunas, Abdonas, Pikhart, Hynek, Grarup, Niels, Pedersen, Oluf, Hansen, Torben, Linneberg, Allan, Jess, Tine, Cooper, Jackie, Humphries, Steve E., Brilliant, Murray, Kitchner, Terrie, Hakonarson, Hakon, Carrell, David S., McCarty, Catherine A., Lester, Kirchner H., Larson, Eric B., Crosslin, David R., De Andrade, Mariza, Roden, Dan M., Denny, Joshua C., Carty, Cara, Hancock, Stephen, Attia, John, Holliday, Elizabeth, Scott, Rodney, Schofield, Peter, O’Donnell, Martin, Yusuf, Salim, Chong, Michael, Pare, Guillaume, Van Der Harst, Pim, Said, M. Abdullah, Eppinga, Ruben N., Verweij, Niek, Snieder, Harold, Christen, Tim, Mook-Kanamori, D. O., Gustafsson, Stefan, Lind, Lars, Ingelsson, Erik, Pazoki, Raha, Franco, Oscar, Hofman, Albert, Uitterlinden, Andre, Dehghan, Abbas, Teumer, Alexander, Baumeister, Sebastian, Dörr, Marcus, Lerch, Markus M., Völker, Uwe, Völzke, Henry, Ward, Joey, Pell, Jill P., Meade, Tom, Christophersen, Ingrid E., Maitland-Van Der Zee, Anke H., Baranova, Ekaterina V., Young, Robin, Ford, Ian, Campbell, Archie, Padmanabhan, Sandosh, Bots, Michiel L., Grobbee, Diederick E., Froguel, Philippe, Thuillier, Dorothée, Roussel, Ronan, Bonnefond, Amélie, Cariou, Bertrand, Smart, Melissa, Bao, Yanchun, Kumari, Meena, Mahajan, Anubha, Hopewell, Jemma C., Seshadri, Sudha, Dale, Caroline, Costa, Rui Providencia E., Ridker, Paul M., Chasman, Daniel I., Reiner, Alex P., Ritchie, Marylyn D., Lange, Leslie A., Cornish, Alex J., Dobbins, Sara E., Hemminki, Kari, Kinnersley, Ben, Sanson, Marc, Labreche, Karim, Simon, Matthias, Bondy, Melissa, Law, Philip, Speedy, Helen, Allan, James, Li, Ni, Went, Molly, Weinhold, Niels, Morgan, Gareth, Sonneveld, Pieter, Nilsson, Björn, Goldschmidt, Hartmut, Sud, Amit, Engert, Andreas, Hansson, Markus, Hemingway, Harry, Asselbergs, Folkert W., Patel, Riyaz S., Keating, Brendan J., Sattar, Naveed, Houlston, Richard, Casas, Juan P., and Hingorani, Aroon D.
Subjects: Genetic association studies, LDL-cholesterol, Phenome-wide association scan, Mendelian randomisation, Coronary artery disease, 3. Good health, Research Article
Abstract: Background: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. Methods: Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. Results: The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer’s disease – outcomes for which large-scale trial data were unavailable. Conclusions: Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

21. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Author: International Consortium For Blood Pressure Genome-Wide Association Studies, Ehret, Georg B, Munroe, Patricia B, Rice, Kenneth M, Bochud, Murielle, Johnson, Andrew D, Chasman, Daniel I, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F, Amin, Najaf, Bragg-Gresham, Jennifer L, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Luan, Jian'an, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A, Jackson, Anne U, Peden, John F, Tanaka, Toshiko, Wild, Sarah H, Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Chambers, John C, Fox, Ervin R, Kumari, Meena, Go, Min Jin, Van Der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, DG, Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Kuusisto, Johanna, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Wu, Ying, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl GP, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno SPM, Adeyemo, Adebowale, Palmas, Walter, Campbell, Harry, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, CARDIoGRAM Consortium, CKDGen Consortium, KidneyGen Consortium, EchoGen Consortium, CHARGE-HF Consortium, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, O'Connell, Jeffrey R, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Hernandez, Dena, Najjar, Samer, McArdle, Wendy L, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian NM, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Clarke, Robert, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J Hunter, Bis, Joshua C, Kähönen, Mika, Viikari, Jorma, Adair, Linda S, Lee, Nanette R, Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Frayling, Timothy M, Islam, Muhammad, Jafar, Tazeen H, Erdmann, Jeanette, Kulkarni, Smita R, Bornstein, Stefan R, Grässler, Jürgen, Groop, Leif, Voight, Benjamin F, Kettunen, Johannes, Howard, Philip, Taylor, Andrew, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Barroso, Inês, Khaw, Kay-Tee, Weder, Alan B, Hunt, Steven C, Sun, Yan V, Bergman, Richard N, Collins, Francis S, Bonnycastle, Lori L, Scott, Laura J, Stringham, Heather M, Peltonen, Leena, Perola, Markus, Vartiainen, Erkki, Brand, Stefan-Martin, Staessen, Jan A, Wang, Thomas J, Burton, Paul R, Soler Artigas, Maria, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K, Rudock, Megan E, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairaj, Tripathy, Vikal, Langefeld, Carl D, Rosengren, Annika, Thelle, Dag S, Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, McKenzie, Colin A, Salako, Tunde, Iwai, Naoharu, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H-Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S, Zhang, Weihua, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Wong, Andrew, Narisu, Narisu, Stančáková, Alena, Raffel, Leslie J, Yao, Jie, Kathiresan, Sekar, O'Donnell, Christopher J, Schwartz, Stephen M, Ikram, M Arfan, Longstreth, WT, Mosley, Thomas H, Seshadri, Sudha, Shrine, Nick RG, Wain, Louise V, Morken, Mario A, Swift, Amy J, Laitinen, Jaana, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A, Humphries, Steve E, Danesh, John, Rasheed, Asif, Goel, Anuj, Hamsten, Anders, Watkins, Hugh, Bakker, Stephan JL, Van Gilst, Wiek H, Janipalli, Charles S, Mani, K Radha, Yajnik, Chittaranjan S, Hofman, Albert, Mattace-Raso, Francesco US, Oostra, Ben A, Demirkan, Ayse, Isaacs, Aaron, Rivadeneira, Fernando, Lakatta, Edward G, Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J, Lyytikäinen, Leo-Pekka, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Ong, Rick Twee-Hee, Dörr, Marcus, Kroemer, Heyo K, Völker, Uwe, Völzke, Henry, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Deloukas, Panos, Mangino, Massimo, Spector, Tim D, Zhai, Guangju, Meschia, James F, Nalls, Michael A, Sharma, Pankaj, Terzic, Janos, Kumar, MV Kranthi, Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E, Fowkes, F Gerald R, Charchar, Fadi J, Schwarz, Peter EH, Hayward, Caroline, Guo, Xiuqing, Rotimi, Charles, Bots, Michiel L, Brand, Eva, Samani, Nilesh J, Polasek, Ozren, Talmud, Philippa J, Nyberg, Fredrik, Kuh, Diana, Laan, Maris, Hveem, Kristian, Palmer, Lyle J, Van Der Schouw, Yvonne T, Casas, Juan P, Mohlke, Karen L, Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K, Wong, Tien Y, Tai, E Shyong, Cooper, Richard S, Laakso, Markku, Rao, Dabeeru C, Harris, Tamara B, Morris, Richard W, Dominiczak, Anna F, Kivimaki, Mika, Marmot, Michael G, Miki, Tetsuro, Saleheen, Danish, Chandak, Giriraj R, Coresh, Josef, Navis, Gerjan, Salomaa, Veikko, Han, Bok-Ghee, Zhu, Xiaofeng, Kooner, Jaspal S, Melander, Olle, Ridker, Paul M, Bandinelli, Stefania, Gyllensten, Ulf B, Wright, Alan F, Wilson, James F, Ferrucci, Luigi, Farrall, Martin, Tuomilehto, Jaakko, Pramstaller, Peter P, Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric JG, Altshuler, David, Loos, Ruth JF, Shuldiner, Alan R, Gieger, Christian, Meneton, Pierre, Uitterlinden, Andre G, Wareham, Nicholas J, Gudnason, Vilmundur, Rotter, Jerome I, Rettig, Rainer, Uda, Manuela, Strachan, David P, Witteman, Jacqueline CM, Hartikainen, Anna-Liisa, Beckmann, Jacques S, Boerwinkle, Eric, Vasan, Ramachandran S, Boehnke, Michael, Larson, Martin G, Järvelin, Marjo-Riitta, Psaty, Bruce M, Abecasis, Gonçalo R, Chakravarti, Aravinda, Elliott, Paul, Van Duijn, Cornelia M, Newton-Cheh, Christopher, Levy, Daniel, Caulfield, Mark J, and Johnson, Toby
Subjects: Asia, Blood Pressure, Coronary Artery Disease, Polymorphism, Single Nucleotide, 3. Good health, Europe, Stroke, Cardiovascular Diseases, Africa, Hypertension, Humans, Genetic Predisposition to Disease, Kidney Diseases, Genome-Wide Association Study
Abstract: Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

22. Dissecting heterogeneity in GWAS meta-analysis

Author: Magosi, Lerato Elaine, Hopewell, Jemma C., and Farrall, Martin
Subjects: 616.1, statistical genetics, genome-wide association studies, heterogeneity, prior distributions, meta-analysis, genetic epidemiology, LPA, coronary heart disease, genetic association meta-analyses, cardiovascular genetics, coronary artery disease, Bayesian methods, GWAS, Bayesian meta-analysis
Abstract: Statistical heterogeneity refers to differences among results of studies combined in a meta-analysis beyond that expected by chance. On the one hand, excessive heterogeneity can diminish power to discover genetic signals; on the other, moderate heterogeneity can reveal important biological differences among studies. Given its double-edged nature, this thesis dissects heterogeneity in genetic association meta-analyses from three vantage points. First, a novel multi-variant statistic, M is proposed to detect genome-wide (systematic) heterogeneity patterns in genetic association meta-analyses. This was motivated by the limited availability of appropriate methodology to measure the impact of heterogeneity across genetic signals, since traditional metrics (Q, I2 and T2) measure heterogeneity at individual variants. Second, given that meta-analyses comprising small numbers of studies typically report imprecise summary effect estimates; GWAS-derived empirical heterogeneity priors are used to improve precision in estimation of average genetic effects and heterogeneity in smaller meta-analyses (e.g. ≤ 10 studies). Third, a critical evaluation of the Han-Eskin random-effects model shows how it can identify small effect heterogeneous loci overlooked by traditional fixed and random-effects methods. This work draws attention to the existence of genome-wide heterogeneity patterns, to reveal systematic differences among the ascertainment criteria of participating studies in a meta-analysis of coronary disease (CAD) risk. Furthermore, simulation studies with the Han-Eskin random-effects model revealed inflated genetic signals at small effect loci when heterogeneity levels were high. However, it did reveal an additional CAD risk variant overlooked by traditional meta-analysis methods. We therefore recommend a holistic approach to exploring heterogeneity in meta-analyses which assesses heterogeneity of genetic effects both at individual variants with traditional statistics and across multiple genetic signals with the M statistic. Furthermore, it is critically important to review forest plots for small effect loci identified using the Han-Eskin random-effects model amidst moderate-to-high heterogeneity (I2 ≥ 40%).
Published: 2017

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22 results on '"Hopewell, Jemma C."'

1. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.

2. Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.

3. Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease.

4. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

5. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.

6. Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer's disease.

7. Association analyses based on false discovery rate implicate new loci for coronary artery disease.

8. No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis.

9. Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease.

10. A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

11. A common LPA null allele associates with lower lipoprotein(a) levels and coronary artery disease risk.

12. Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.

13. Large-scale association analysis identifies new risk loci for coronary artery disease.

14. Lipids and lipoproteins and risk of different vascular events in the MRC/BHF Heart Protection Study.

15. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

16. Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease

17. Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer’s disease

18. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

19. Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease

20. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

21. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

22. Dissecting heterogeneity in GWAS meta-analysis

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22 results on '"Hopewell, Jemma C."'

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