Literature DB >> 32585591

Atherosclerotic Aortic Calcification-Associated Polymorphism in HDAC9 and Associations with Mortality, Cardiovascular Disease, and Kidney Disease.

Johan Ärnlöv1, Douglas F Dluzen2, Christoph Nowak3.   

Abstract

Histone deacetylase 9 (HDAC9) has recently been demonstrated as a key regulator of vascular smooth muscle cell (VSMC) phenotype and is associated with abdominal aortic calcification, myocardial infarction, and ischemic stroke. It is uncertain whether HDAC9 is also implicated in other VSMC-driven diseases. Our objective was to assess associations between abdominal aortic calcification-associated genetic variation in HDAC9 and VSMC-associated phenotypes. In this prospective population study of 335,146 adults enrolled in the UK Biobank, the abdominal aortic calcification-associated risk allele of a genetic variant in HDAC9 was associated with increased risk of systolic hypertension, non-ST segment elevation myocardial infarction, and ischemic stroke. There was a suggestive protective association with kidney disease outcomes that did not reach experiment-wise significance. These genetic results lend further support for HDAC9 as a potential therapeutic target for arterial stenotic and calcific disease.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical Finding; Genomics; Medical Specialty

Year:  2020        PMID: 32585591      PMCID: PMC7322070          DOI: 10.1016/j.isci.2020.101253

Source DB:  PubMed          Journal:  iScience        ISSN: 2589-0042


Introduction

In a recent translational genomics study, Malhotra et al. (2019) identified the first genetic risk locus for abdominal aortic calcification (AAC) in HDAC9 on chromosome 7, which encodes histone deacetylase 9 (HDAC9), a co-regulator of gene transcription. In genome-wide association study (GWAS) and in vitro studies, the authors demonstrated HDAC9 as a key regulator of vascular smooth muscle cell (VSMC) phenotype and calcification. Mice deficient in HDAC9 had reduced vascular calcification, suggesting HDAC9 as a possible drug target for vascular calcific disease (Malhotra et al., 2019). A separate study found that HDAC9 inhibition in mice reduced arterial neointimal formation and improved stenotic disease (Lino Cardenas et al., 2019). These findings suggest HDAC9 as a potential drug target for VSMC-associated cardiovascular disease. Arterial calcification is a risk factor for cardiovascular disease and mortality (Bastos Goncalves et al., 2012, Criqui et al., 2014) and is associated with hypertension, chronic kidney disease, and end-stage renal disease (Vervloet and Cozzolino, 2017). The results obtained by Malhotra et al. (2019) demonstrate HDAC9's role in altering VSMC phenotype, and associations with myocardial infarction, ischemic stroke, and pulse pressure have been reported (Traylor et al., 2012, Bellenguez et al., 2012, Malik et al., 2016, Malik et al., 2017, Nikpay et al., 2015, Kato et al., 2015). However, it is uncertain whether HDAC9 is also implicated in other VSMC-driven diseases. Investigating these associations can further delineate the potential role of HDAC9 as a treatment target in arterial calcific and stenotic disease. Here, we analyzed a population sample of 335,146 adults to assess the role of HDAC9 in mortality and VSMC-driven cardiovascular and renal pathology.

Results

Associations in the UK Biobank

Among 335,146 participants, the AAC-associated single nucleotide polymorphism rs57301765 was genotyped in 332,425 persons (99.19%, 53.7% women, age 56.9 ± 8.0 years, 10.1% smokers). We ascertained genotyping quality as detailed in the Supplemental Information (Figures S1–S4, Tables S1 and S2). Maximum follow-up was 10.0 years (mean 7.0 ± 1.0, median 7.1, interquartile range, 6.4–7.8 years). Figures 1 and 2 display associations between the AAC-associated allele and outcomes. At experiment-wise significance, we found associations between rs57301765 and systolic blood pressure (p = 1.71 × 10−11), pulse pressure (p = 5.76 × 10−27), and hypertension (p = 1.26 × 10−6). The associations with myocardial infarction (p = 1.72 × 10−5; driven by non-ST segment elevation myocardial infarction [NSTEMI], p = 0.001) and ischemic stroke (p = 6.29 × 10−5) were not significant at the strict Bonferroni level (Figures 1 and 2). There was no clear association between HDAC9 and aneurysmal disease, but there was a nominally significant protective association with diastolic blood pressure (p = 0.028). We found suggestive directionally consistent protective associations between the AAC-raising variant and kidney disease outcomes that reached nominal (but not experiment-wise) significance: microalbuminuria (p = 0.010), albumin-to-creatinine ratio (ACR, p = 0.032), and estimated glomerular filtration rate based on cystatin C levels (cystatin C-eGFR, p = 0.007).
Figure 1

Forest Plot of Per-Risk-Allele Associations with Continuous Outcomes

Associations represent the change in standard deviation unit per added AAC-raising risk allele. Horizontal lines denote 95% confidence intervals. Bonferroni significance is marked by asterisks.

Figure 2

Forest Plot of Per-Risk-Allele Associations with Binary Outcomes

Effects per added AAC-raising risk allele are shown as odds ratios or hazard ratios (for all-cause mortality and cardiovascular mortality). Horizontal lines denote 95% confidence intervals. Bonferroni significance is marked by asterisks.

Forest Plot of Per-Risk-Allele Associations with Continuous Outcomes Associations represent the change in standard deviation unit per added AAC-raising risk allele. Horizontal lines denote 95% confidence intervals. Bonferroni significance is marked by asterisks. Forest Plot of Per-Risk-Allele Associations with Binary Outcomes Effects per added AAC-raising risk allele are shown as odds ratios or hazard ratios (for all-cause mortality and cardiovascular mortality). Horizontal lines denote 95% confidence intervals. Bonferroni significance is marked by asterisks.

Associations in Previously Reported GWAS Meta-Analyses

Results from previously reported GWAS meta-analyses (Table S2) confirm our findings in the UK Biobank sample in that the AAC risk allele was associated with raised pulse pressure (p = 4.00 × 10−6) and hypertension (p = 0.005). There was no association with diastolic blood pressure (p = 0.728) or aortic valve calcification (p = 0.767). We found a nominally significant protective effect on ACR risk (p = 0.037, Table S2). The non-significant (p = 0.152) risk-increasing association with heart failure risk in our sample corresponded to a nominal effect in the same direction (p = 0.015) in the HERMES heart failure consortium.

Discussion

In a population sample of >330,000 adults, we used a genetic variant to query the potential effects of targeting HDAC9 for the treatment of VSMC-associated diseases. We discovered associations between the AAC-raising variant and increased systolic hypertension and raised risk of NSTEMI that confirm previously reported effects on cardiovascular outcomes. A suggestive protective association with kidney disease phenotypes did not reach experiment-wise significance but was directionally consistent across renal endpoints. We confirmed associations with ischemic stroke previously reported in independent samples. There were no clear associations with metabolic cardiovascular risk factors such as plasma lipid and glucose levels, or mortality. The stronger association between HDAC9 and NSTEMI, compared with ST segment elevation myocardial infarction (STEMI), could suggest HDAC9 acting on myocardial infarction risk primarily through non-atherosclerotic mechanisms, as a higher proportion of NSTEMI can be attributed to non-atherosclerotic causes (Zipes et al., 2019). Whether arterial calcification is a particular risk factor for NSTEMI has not been assessed before. The causes of myocardial oxygen demand versus consumption mismatch in NSTEMI include stenotic disease and systemic pathologies such as hypertension (Zipes et al., 2019). Our results suggest a role of HDAC9 in myocardial infarction through non-coronary plaque-related, possibly stenotic, hypertensive, or calcific aortic pathology. However, the differential associations with STEMI and NSTEMI in our study need to be interpreted with great caution as (1) the clinical diagnoses in the UK Biobank have not been validated for accuracy, (2) our study may be underpowered (e.g., the effect size of 1.07 and p-value of 0.055 for STEMI suggests that larger samples may detect an effect that we missed because of lack of power), and (3) although non-atherosclerotic flow-limiting causes (such as systemic arterial hypertension) are more common for NSTEMI, both STEMI and NSTEMI share atherosclerosis as the predominant cause. Hence, our discovery of an apparently stronger effect of AAC-raising genetic variation in HDAC9 on NSTEMI versus STEMI risk points to an interesting distinction that has received little attention in previous research. Yet, the limitations of our study do not allow firm conclusions, and additional studies exploring a potential differential role of HDAC9-driven AAC in different cardiovascular pathologies are needed. The strong association with systolic hypertension confirms HDAC9 as a likely key regulator of VSMC-related cardiovascular diseases (Malhotra et al., 2019, Lino Cardenas et al., 2019). The suggestive protective effect on kidney disease due to AAC-associated genetic variation in our comparatively healthy sample has not been reported before and requires independent replication. Although we found consistent effect sizes in the protective direction across renal phenotypes, none of the associations reached experiment-wise significance. Our sample comprising comparatively healthy, middle-aged adults was likely underpowered to detect potential effects on renal outcomes (the proportion of participants with eGFR below 60 was 2.2%, and 58.2% had normal kidney function with an eGFR above 90). We found no association between HDAC9 and several conventional cardiovascular risk factors (apart from blood pressure traits), which supports HDAC9 as a possible add-on drug target for cardiovascular disease acting through different mechanisms than established therapies. Whether pharmacological targeting of HDAC9 could enhance existing blood pressure treatments or act as an alternative treatment remains uncertain and needs to be addressed in future experimental studies.

Limitations of the Study

Limitations include exclusive European ancestry, limited power for some outcomes (which may have missed true effects), reliance on a single genetic variant, and the caveats of extrapolating from genetic effects to clinical reality. The clinical phenotypes in the UK Biobank have not been validated for clinical accuracy (leaving doubts about the distinction between NSTEMI and STEMI based on hospital admissions records), and there is evidence for a “healthy selection bias” in the UK Biobank. Our epidemiologic study provides limited mechanistic insights, and cardiovascular risk groups such as elderly persons or those with chronic kidney disease were likely underrepresented. Strengths include the large, contemporary sample representative of the UK population, consistent case ascertainment, exclusion of genotyping errors, and confirmation in independent GWAS data.

Conclusion

In a community sample of >330,000 adults, we found confirmatory evidence in support of HDAC9 as a key regulator and potential therapeutic target for VSMC-driven cardiovascular disease, with suggestive evidence of a reverse effect on kidney disease.

Resource Availability

Lead Contact

Dr. Christoph Nowak, M.D., Ph.D., Dipl.-Psych., Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Alfred Nobels Allé 23, SE-14183 Huddinge, Sweden, email: christoph.nowak@ki.se, phone: +46–739806535, ORCID iD: 0000-0001-8435-3978.

Materials Availability

We used existing data as described below. No new data or materials were generated in our study.

Data and Code Availability

Researchers can apply to use the UK Biobank data for health-related research in the public interest (http://www.ukbiobank.ac.uk/register-apply/). After ethical approval, the UK Biobank releases de-identified data to approved researchers for specific research projects. All the data used obtained through look-ups of GWAS repositories are in the public domain and available via the webpages provided in the main text and Table S2. The analysis code can be obtained from the corresponding author (C.N.) on request.

Methods

All methods can be found in the accompanying Transparent Methods supplemental file.
  11 in total

Review 1.  Calcification of the abdominal aorta as an independent predictor of cardiovascular events: a meta-analysis.

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Journal:  Heart       Date:  2012-07       Impact factor: 5.994

2.  Common coding variant in SERPINA1 increases the risk for large artery stroke.

Authors:  Rainer Malik; Therese Dau; Maria Gonik; Anirudh Sivakumar; Daniel J Deredge; Evgeniia V Edeleva; Jessica Götzfried; Sander W van der Laan; Gerard Pasterkamp; Nathalie Beaufort; Susana Seixas; Steve Bevan; Lisa F Lincz; Elizabeth G Holliday; Annette I Burgess; Kristiina Rannikmäe; Jens Minnerup; Jennifer Kriebel; Melanie Waldenberger; Martina Müller-Nurasyid; Peter Lichtner; Danish Saleheen; Peter M Rothwell; Christopher Levi; John Attia; Cathie L M Sudlow; Dieter Braun; Hugh S Markus; Patrick L Wintrode; Klaus Berger; Dieter E Jenne; Martin Dichgans
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

3.  HDAC9 complex inhibition improves smooth muscle-dependent stenotic vascular disease.

Authors:  Christian L Lino Cardenas; Chase W Kessinger; Elizabeth L Chou; Brian Ghoshhajra; Ashish S Yeri; Saumya Das; Neal L Weintraub; Rajeev Malhotra; Farouc A Jaffer; Mark E Lindsay
Journal:  JCI Insight       Date:  2019-01-24

4.  Abdominal aortic calcium, coronary artery calcium, and cardiovascular morbidity and mortality in the Multi-Ethnic Study of Atherosclerosis.

Authors:  Michael H Criqui; Julie O Denenberg; Robyn L McClelland; Matthew A Allison; Joachim H Ix; Alan Guerci; Kevin P Cohoon; Preethi Srikanthan; Karol E Watson; Nathan D Wong
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-05-08       Impact factor: 8.311

5.  Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation.

Authors:  Norihiro Kato; Marie Loh; Fumihiko Takeuchi; Niek Verweij; Xu Wang; Weihua Zhang; Tanika N Kelly; Danish Saleheen; Benjamin Lehne; Irene Mateo Leach; Molly Scannell Bryan; Yik-Ying Teo; Jiang He; Paul Elliott; E Shyong Tai; Pim van der Harst; Jaspal S Kooner; John C Chambers; Alexander W Drong; James Abbott; Simone Wahl; Sian-Tsung Tan; William R Scott; Gianluca Campanella; Marc Chadeau-Hyam; Uzma Afzal; Tarunveer S Ahluwalia; Marc Jan Bonder; Peng Chen; Abbas Dehghan; Todd L Edwards; Tõnu Esko; Min Jin Go; Sarah E Harris; Jaana Hartiala; Silva Kasela; Anuradhani Kasturiratne; Chiea-Chuen Khor; Marcus E Kleber; Huaixing Li; Zuan Yu Mok; Masahiro Nakatochi; Nur Sabrina Sapari; Richa Saxena; Alexandre F R Stewart; Lisette Stolk; Yasuharu Tabara; Ai Ling Teh; Ying Wu; Jer-Yuarn Wu; Yi Zhang; Imke Aits; Alexessander Da Silva Couto Alves; Shikta Das; Rajkumar Dorajoo; Jemma C Hopewell; Yun Kyoung Kim; Robert W Koivula; Jian'an Luan; Leo-Pekka Lyytikäinen; Quang N Nguyen; Mark A Pereira; Iris Postmus; Olli T Raitakari; Robert A Scott; Rossella Sorice; Vinicius Tragante; Michela Traglia; Jon White; Ken Yamamoto; Yonghong Zhang; Linda S Adair; Alauddin Ahmed; Koichi Akiyama; Rasheed Asif; Tin Aung; Inês Barroso; Andrew Bjonnes; Timothy R Braun; Hui Cai; Li-Ching Chang; Chien-Hsiun Chen; Ching-Yu Cheng; Yap-Seng Chong; Rory Collins; Regina Courtney; Gail Davies; Graciela Delgado; Loi D Do; Pieter A Doevendans; Ron T Gansevoort; Yu-Tang Gao; Tanja B Grammer; Niels Grarup; Jagvir Grewal; Dongfeng Gu; Gurpreet S Wander; Anna-Liisa Hartikainen; Stanley L Hazen; Jing He; Chew-Kiat Heng; James E Hixson; Albert Hofman; Chris Hsu; Wei Huang; Lise L N Husemoen; Joo-Yeon Hwang; Sahoko Ichihara; Michiya Igase; Masato Isono; Johanne M Justesen; Tomohiro Katsuya; Muhammad G Kibriya; Young Jin Kim; Miyako Kishimoto; Woon-Puay Koh; Katsuhiko Kohara; Meena Kumari; Kenneth Kwek; Nanette R Lee; Jeannette Lee; Jiemin Liao; Wolfgang Lieb; David C M Liewald; Tatsuaki Matsubara; Yumi Matsushita; Thomas Meitinger; Evelin Mihailov; Lili Milani; Rebecca Mills; Nina Mononen; Martina Müller-Nurasyid; Toru Nabika; Eitaro Nakashima; Hong Kiat Ng; Kjell Nikus; Teresa Nutile; Takayoshi Ohkubo; Keizo Ohnaka; Sarah Parish; Lavinia Paternoster; Hao Peng; Annette Peters; Son T Pham; Mohitha J Pinidiyapathirage; Mahfuzar Rahman; Hiromi Rakugi; Olov Rolandsson; Michelle Ann Rozario; Daniela Ruggiero; Cinzia F Sala; Ralhan Sarju; Kazuro Shimokawa; Harold Snieder; Thomas Sparsø; Wilko Spiering; John M Starr; David J Stott; Daniel O Stram; Takao Sugiyama; Silke Szymczak; W H Wilson Tang; Lin Tong; Stella Trompet; Väinö Turjanmaa; Hirotsugu Ueshima; André G Uitterlinden; Satoshi Umemura; Marja Vaarasmaki; Rob M van Dam; Wiek H van Gilst; Dirk J van Veldhuisen; Jorma S Viikari; Melanie Waldenberger; Yiqin Wang; Aili Wang; Rory Wilson; Tien-Yin Wong; Yong-Bing Xiang; Shuhei Yamaguchi; Xingwang Ye; Robin D Young; Terri L Young; Jian-Min Yuan; Xueya Zhou; Folkert W Asselbergs; Marina Ciullo; Robert Clarke; Panos Deloukas; Andre Franke; Paul W Franks; Steve Franks; Yechiel Friedlander; Myron D Gross; Zhirong Guo; Torben Hansen; Marjo-Riitta Jarvelin; Torben Jørgensen; J Wouter Jukema; Mika Kähönen; Hiroshi Kajio; Mika Kivimaki; Jong-Young Lee; Terho Lehtimäki; Allan Linneberg; Tetsuro Miki; Oluf Pedersen; Nilesh J Samani; Thorkild I A Sørensen; Ryoichi Takayanagi; Daniela Toniolo; Habibul Ahsan; Hooman Allayee; Yuan-Tsong Chen; John Danesh; Ian J Deary; Oscar H Franco; Lude Franke; Bastiaan T Heijman; Joanna D Holbrook; Aaron Isaacs; Bong-Jo Kim; Xu Lin; Jianjun Liu; Winfried März; Andres Metspalu; Karen L Mohlke; Dharambir K Sanghera; Xiao-Ou Shu; Joyce B J van Meurs; Eranga Vithana; Ananda R Wickremasinghe; Cisca Wijmenga; Bruce H W Wolffenbuttel; Mitsuhiro Yokota; Wei Zheng; Dingliang Zhu; Paolo Vineis; Soterios A Kyrtopoulos; Jos C S Kleinjans; Mark I McCarthy; Richie Soong; Christian Gieger; James Scott
Journal:  Nat Genet       Date:  2015-09-21       Impact factor: 38.330

6.  Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke.

Authors:  Céline Bellenguez; Steve Bevan; Andreas Gschwendtner; Chris C A Spencer; Annette I Burgess; Matti Pirinen; Caroline A Jackson; Matthew Traylor; Amy Strange; Zhan Su; Gavin Band; Paul D Syme; Rainer Malik; Joanna Pera; Bo Norrving; Robin Lemmens; Colin Freeman; Renata Schanz; Tom James; Deborah Poole; Lee Murphy; Helen Segal; Lynelle Cortellini; Yu-Ching Cheng; Daniel Woo; Michael A Nalls; Bertram Müller-Myhsok; Christa Meisinger; Udo Seedorf; Helen Ross-Adams; Steven Boonen; Dorota Wloch-Kopec; Valerie Valant; Julia Slark; Karen Furie; Hossein Delavaran; Cordelia Langford; Panos Deloukas; Sarah Edkins; Sarah Hunt; Emma Gray; Serge Dronov; Leena Peltonen; Solveig Gretarsdottir; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Kari Stefansson; Giorgio B Boncoraglio; Eugenio A Parati; John Attia; Elizabeth Holliday; Chris Levi; Maria-Grazia Franzosi; Anuj Goel; Anna Helgadottir; Jenefer M Blackwell; Elvira Bramon; Matthew A Brown; Juan P Casas; Aiden Corvin; Audrey Duncanson; Janusz Jankowski; Christopher G Mathew; Colin N A Palmer; Robert Plomin; Anna Rautanen; Stephen J Sawcer; Richard C Trembath; Ananth C Viswanathan; Nicholas W Wood; Bradford B Worrall; Steven J Kittner; Braxton D Mitchell; Brett Kissela; James F Meschia; Vincent Thijs; Arne Lindgren; Mary Joan Macleod; Agnieszka Slowik; Matthew Walters; Jonathan Rosand; Pankaj Sharma; Martin Farrall; Cathie L M Sudlow; Peter M Rothwell; Martin Dichgans; Peter Donnelly; Hugh S Markus
Journal:  Nat Genet       Date:  2012-02-05       Impact factor: 38.330

7.  Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration.

Authors:  Rainer Malik; Matthew Traylor; Sara L Pulit; Steve Bevan; Jemma C Hopewell; Elizabeth G Holliday; Wei Zhao; Patricia Abrantes; Philippe Amouyel; John R Attia; Thomas W K Battey; Klaus Berger; Giorgio B Boncoraglio; Ganesh Chauhan; Yu-Ching Cheng; Wei-Min Chen; Robert Clarke; Ioana Cotlarciuc; Stephanie Debette; Guido J Falcone; Jose M Ferro; Dale M Gamble; Andreea Ilinca; Steven J Kittner; Christina E Kourkoulis; Robin Lemmens; Christopher R Levi; Peter Lichtner; Arne Lindgren; Jingmin Liu; James F Meschia; Braxton D Mitchell; Sofia A Oliveira; Joana Pera; Alex P Reiner; Peter M Rothwell; Pankaj Sharma; Agnieszka Slowik; Cathie L M Sudlow; Turgut Tatlisumak; Vincent Thijs; Astrid M Vicente; Daniel Woo; Sudha Seshadri; Danish Saleheen; Jonathan Rosand; Hugh S Markus; Bradford B Worrall; Martin Dichgans
Journal:  Neurology       Date:  2016-03-02       Impact factor: 9.910

8.  Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.

Authors:  Matthew Traylor; Martin Farrall; Elizabeth G Holliday; Cathie Sudlow; Jemma C Hopewell; Yu-Ching Cheng; Myriam Fornage; M Arfan Ikram; Rainer Malik; Steve Bevan; Unnur Thorsteinsdottir; Mike A Nalls; Wt Longstreth; Kerri L Wiggins; Sunaina Yadav; Eugenio A Parati; Anita L Destefano; Bradford B Worrall; Steven J Kittner; Muhammad Saleem Khan; Alex P Reiner; Anna Helgadottir; Sefanja Achterberg; Israel Fernandez-Cadenas; Sherine Abboud; Reinhold Schmidt; Matthew Walters; Wei-Min Chen; E Bernd Ringelstein; Martin O'Donnell; Weang Kee Ho; Joanna Pera; Robin Lemmens; Bo Norrving; Peter Higgins; Marianne Benn; Michele Sale; Gregor Kuhlenbäumer; Alexander S F Doney; Astrid M Vicente; Hossein Delavaran; Ale Algra; Gail Davies; Sofia A Oliveira; Colin N A Palmer; Ian Deary; Helena Schmidt; Massimo Pandolfo; Joan Montaner; Cara Carty; Paul I W de Bakker; Konstantinos Kostulas; Jose M Ferro; Natalie R van Zuydam; Einar Valdimarsson; Børge G Nordestgaard; Arne Lindgren; Vincent Thijs; Agnieszka Slowik; Danish Saleheen; Guillaume Paré; Klaus Berger; Gudmar Thorleifsson; Albert Hofman; Thomas H Mosley; Braxton D Mitchell; Karen Furie; Robert Clarke; Christopher Levi; Sudha Seshadri; Andreas Gschwendtner; Giorgio B Boncoraglio; Pankaj Sharma; Joshua C Bis; Solveig Gretarsdottir; Bruce M Psaty; Peter M Rothwell; Jonathan Rosand; James F Meschia; Kari Stefansson; Martin Dichgans; Hugh S Markus
Journal:  Lancet Neurol       Date:  2012-10-05       Impact factor: 59.935

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

Authors:  Majid Nikpay; Anuj Goel; Hong-Hee Won; Leanne M Hall; Christina Willenborg; Stavroula Kanoni; Danish Saleheen; Theodosios Kyriakou; Christopher P Nelson; Jemma C Hopewell; Thomas R Webb; Lingyao Zeng; Abbas Dehghan; Maris Alver; Sebastian M Armasu; Kirsi Auro; Andrew Bjonnes; Daniel I Chasman; Shufeng Chen; Ian Ford; Nora Franceschini; Christian Gieger; Christopher Grace; Stefan Gustafsson; Jie Huang; Shih-Jen Hwang; Yun Kyoung Kim; Marcus E Kleber; King Wai Lau; Xiangfeng Lu; Yingchang Lu; Leo-Pekka Lyytikäinen; Evelin Mihailov; Alanna C Morrison; Natalia Pervjakova; Liming Qu; Lynda M Rose; Elias Salfati; Richa Saxena; Markus Scholz; Albert V Smith; Emmi Tikkanen; Andre Uitterlinden; Xueli Yang; Weihua Zhang; Wei Zhao; Mariza de Andrade; Paul S de Vries; Natalie R van Zuydam; Sonia S Anand; Lars Bertram; Frank Beutner; George Dedoussis; Philippe Frossard; Dominique Gauguier; Alison H Goodall; Omri Gottesman; Marc Haber; Bok-Ghee Han; Jianfeng Huang; Shapour Jalilzadeh; Thorsten Kessler; Inke R König; Lars Lannfelt; Wolfgang Lieb; Lars Lind; Cecilia M Lindgren; Marja-Liisa Lokki; Patrik K Magnusson; Nadeem H Mallick; Narinder Mehra; Thomas Meitinger; Fazal-Ur-Rehman Memon; Andrew P Morris; Markku S Nieminen; Nancy L Pedersen; Annette Peters; Loukianos S Rallidis; Asif Rasheed; Maria Samuel; Svati H Shah; Juha Sinisalo; Kathleen E Stirrups; Stella Trompet; Laiyuan Wang; Khan S Zaman; Diego Ardissino; Eric Boerwinkle; Ingrid B Borecki; Erwin P Bottinger; Julie E Buring; John C Chambers; Rory Collins; L Adrienne Cupples; John Danesh; Ilja Demuth; Roberto Elosua; Stephen E Epstein; Tõnu Esko; Mary F Feitosa; Oscar H Franco; Maria Grazia Franzosi; Christopher B Granger; Dongfeng Gu; Vilmundur Gudnason; Alistair S Hall; Anders Hamsten; Tamara B Harris; Stanley L Hazen; Christian Hengstenberg; Albert Hofman; Erik Ingelsson; Carlos Iribarren; J Wouter Jukema; Pekka J Karhunen; Bong-Jo Kim; Jaspal S Kooner; Iftikhar J Kullo; Terho Lehtimäki; Ruth J F Loos; Olle Melander; Andres Metspalu; Winfried März; Colin N Palmer; Markus Perola; Thomas Quertermous; Daniel J Rader; Paul M Ridker; Samuli Ripatti; Robert Roberts; Veikko Salomaa; Dharambir K Sanghera; Stephen M Schwartz; Udo Seedorf; Alexandre F Stewart; David J Stott; Joachim Thiery; Pierre A Zalloua; Christopher J O'Donnell; Muredach P Reilly; Themistocles L Assimes; John R Thompson; Jeanette Erdmann; Robert Clarke; Hugh Watkins; Sekar Kathiresan; Ruth McPherson; Panos Deloukas; Heribert Schunkert; Nilesh J Samani; Martin Farrall
Journal:  Nat Genet       Date:  2015-09-07       Impact factor: 38.330

10.  HDAC9 is implicated in atherosclerotic aortic calcification and affects vascular smooth muscle cell phenotype.

Authors:  Donald B Bloch; Wendy S Post; Christopher J O'Donnell; Rajeev Malhotra; Andreas C Mauer; Christian L Lino Cardenas; Xiuqing Guo; Jie Yao; Xiaoling Zhang; Florian Wunderer; Albert V Smith; Quenna Wong; Sonali Pechlivanis; Shih-Jen Hwang; Judy Wang; Lingyi Lu; Christopher J Nicholson; Georgia Shelton; Mary D Buswell; Hanna J Barnes; Haakon H Sigurslid; Charles Slocum; Caitlin O' Rourke; David K Rhee; Aranya Bagchi; Sagar U Nigwekar; Emmanuel S Buys; Catherine Y Campbell; Tamara Harris; Matthew Budoff; Michael H Criqui; Jerome I Rotter; Andrew D Johnson; Ci Song; Nora Franceschini; Stephanie Debette; Udo Hoffmann; Hagen Kälsch; Markus M Nöthen; Sigurdur Sigurdsson; Barry I Freedman; Donald W Bowden; Karl-Heinz Jöckel; Susanne Moebus; Raimund Erbel; Mary F Feitosa; Vilmundur Gudnason; George Thanassoulis; Warren M Zapol; Mark E Lindsay
Journal:  Nat Genet       Date:  2019-10-28       Impact factor: 38.330

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