Genetic insight into sick sinus syndrome

Abstract Aims The aim of this study was to use human genetics to investigate the pathogenesis of sick sinus syndrome (SSS) and the role of risk factors in its development. Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics,...

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Veröffentlicht in:European heart journal 2021-05, Vol.42 (20), p.1959-1971
Hauptverfasser: Thorolfsdottir, Rosa B, Sveinbjornsson, Gardar, Aegisdottir, Hildur M, Benonisdottir, Stefania, Stefansdottir, Lilja, Ivarsdottir, Erna V, Halldorsson, Gisli H, Sigurdsson, Jon K, Torp-Pedersen, Christian, Weeke, Peter E, Brunak, Søren, Westergaard, David, Pedersen, Ole B, Sorensen, Erik, Nielsen, Kaspar R, Burgdorf, Kristoffer S, Banasik, Karina, Brumpton, Ben, Zhou, Wei, Oddsson, Asmundur, Tragante, Vinicius, Hjorleifsson, Kristjan E, Davidsson, Olafur B, Rajamani, Sridharan, Jonsson, Stefan, Torfason, Bjarni, Valgardsson, Atli S, Thorgeirsson, Gudmundur, Frigge, Michael L, Thorleifsson, Gudmar, Norddahl, Gudmundur L, Helgadottir, Anna, Gretarsdottir, Solveig, Sulem, Patrick, Jonsdottir, Ingileif, Willer, Cristen J, Hveem, Kristian, Bundgaard, Henning, Ullum, Henrik, Arnar, David O, Thorsteinsdottir, Unnur, Gudbjartsson, Daniel F, Holm, Hilma, Stefansson, Kari
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container_end_page 1971
container_issue 20
container_start_page 1959
container_title European heart journal
container_volume 42
creator Thorolfsdottir, Rosa B
Sveinbjornsson, Gardar
Aegisdottir, Hildur M
Benonisdottir, Stefania
Stefansdottir, Lilja
Ivarsdottir, Erna V
Halldorsson, Gisli H
Sigurdsson, Jon K
Torp-Pedersen, Christian
Weeke, Peter E
Brunak, Søren
Westergaard, David
Pedersen, Ole B
Sorensen, Erik
Nielsen, Kaspar R
Burgdorf, Kristoffer S
Banasik, Karina
Brumpton, Ben
Zhou, Wei
Oddsson, Asmundur
Tragante, Vinicius
Hjorleifsson, Kristjan E
Davidsson, Olafur B
Rajamani, Sridharan
Jonsson, Stefan
Torfason, Bjarni
Valgardsson, Atli S
Thorgeirsson, Gudmundur
Frigge, Michael L
Thorleifsson, Gudmar
Norddahl, Gudmundur L
Helgadottir, Anna
Gretarsdottir, Solveig
Sulem, Patrick
Jonsdottir, Ingileif
Willer, Cristen J
Hveem, Kristian
Bundgaard, Henning
Ullum, Henrik
Arnar, David O
Thorsteinsdottir, Unnur
Gudbjartsson, Daniel F
Holm, Hilma
Stefansson, Kari
description Abstract Aims The aim of this study was to use human genetics to investigate the pathogenesis of sick sinus syndrome (SSS) and the role of risk factors in its development. Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics, the Copenhagen Hospital Biobank, UK Biobank, and the HUNT study. Variants at six loci associated with SSS, a reported missense variant in MYH6, known atrial fibrillation (AF)/electrocardiogram variants at PITX2, ZFHX3, TTN/CCDC141, and SCN10A and a low-frequency (MAF = 1.1–1.8%) missense variant, p.Gly62Cys in KRT8 encoding the intermediate filament protein keratin 8. A full genotypic model best described the p.Gly62Cys association (P = 1.6 × 10−20), with an odds ratio (OR) of 1.44 for heterozygotes and a disproportionally large OR of 13.99 for homozygotes. All the SSS variants increased the risk of pacemaker implantation. Their association with AF varied and p.Gly62Cys was the only variant not associating with any other arrhythmia or cardiovascular disease. We tested 17 exposure phenotypes in polygenic score (PGS) and Mendelian randomization analyses. Only two associated with the risk of SSS in Mendelian randomization, AF, and lower heart rate, suggesting causality. Powerful PGS analyses provided convincing evidence against causal associations for body mass index, cholesterol, triglycerides, and type 2 diabetes (P > 0.05). Conclusion We report the associations of variants at six loci with SSS, including a missense variant in KRT8 that confers high risk in homozygotes and points to a mechanism specific to SSS development. Mendelian randomization supports a causal role for AF in the development of SSS. Graphical Abstract Summary of genetic insight into the pathogenesis of SSS and the role of risk factors in its development. Variants at six loci (named by corresponding gene names) were identified through GWAS and their unique phenotypic associations provide insight into distinct pathways underlying SSS. Investigation of the role of risk factors in SSS development supported a causal role for AF and heart rate and provided convincing evidence against causality for BMI, cholesterol (HDL and non-HDL), triglycerides and T2D. Mendelian randomization did not support causality for CAD, ischaemic stroke, heart failure, PR interval or QRS duration (not shown in figure). Red and blue arrows represent positive and negative associations, respectively.
doi_str_mv 10.1093/eurheartj/ehaa1108
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Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics, the Copenhagen Hospital Biobank, UK Biobank, and the HUNT study. Variants at six loci associated with SSS, a reported missense variant in MYH6, known atrial fibrillation (AF)/electrocardiogram variants at PITX2, ZFHX3, TTN/CCDC141, and SCN10A and a low-frequency (MAF = 1.1–1.8%) missense variant, p.Gly62Cys in KRT8 encoding the intermediate filament protein keratin 8. A full genotypic model best described the p.Gly62Cys association (P = 1.6 × 10−20), with an odds ratio (OR) of 1.44 for heterozygotes and a disproportionally large OR of 13.99 for homozygotes. All the SSS variants increased the risk of pacemaker implantation. Their association with AF varied and p.Gly62Cys was the only variant not associating with any other arrhythmia or cardiovascular disease. We tested 17 exposure phenotypes in polygenic score (PGS) and Mendelian randomization analyses. Only two associated with the risk of SSS in Mendelian randomization, AF, and lower heart rate, suggesting causality. Powerful PGS analyses provided convincing evidence against causal associations for body mass index, cholesterol, triglycerides, and type 2 diabetes (P &gt; 0.05). Conclusion We report the associations of variants at six loci with SSS, including a missense variant in KRT8 that confers high risk in homozygotes and points to a mechanism specific to SSS development. Mendelian randomization supports a causal role for AF in the development of SSS. Graphical Abstract Summary of genetic insight into the pathogenesis of SSS and the role of risk factors in its development. Variants at six loci (named by corresponding gene names) were identified through GWAS and their unique phenotypic associations provide insight into distinct pathways underlying SSS. Investigation of the role of risk factors in SSS development supported a causal role for AF and heart rate and provided convincing evidence against causality for BMI, cholesterol (HDL and non-HDL), triglycerides and T2D. Mendelian randomization did not support causality for CAD, ischaemic stroke, heart failure, PR interval or QRS duration (not shown in figure). Red and blue arrows represent positive and negative associations, respectively.</description><identifier>ISSN: 0195-668X</identifier><identifier>EISSN: 1522-9645</identifier><identifier>DOI: 10.1093/eurheartj/ehaa1108</identifier><identifier>PMID: 33580673</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Clinical Research</subject><ispartof>European heart journal, 2021-05, Vol.42 (20), p.1959-1971</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. 2021</rights><rights>The Author(s) 2021. 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Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics, the Copenhagen Hospital Biobank, UK Biobank, and the HUNT study. Variants at six loci associated with SSS, a reported missense variant in MYH6, known atrial fibrillation (AF)/electrocardiogram variants at PITX2, ZFHX3, TTN/CCDC141, and SCN10A and a low-frequency (MAF = 1.1–1.8%) missense variant, p.Gly62Cys in KRT8 encoding the intermediate filament protein keratin 8. A full genotypic model best described the p.Gly62Cys association (P = 1.6 × 10−20), with an odds ratio (OR) of 1.44 for heterozygotes and a disproportionally large OR of 13.99 for homozygotes. All the SSS variants increased the risk of pacemaker implantation. Their association with AF varied and p.Gly62Cys was the only variant not associating with any other arrhythmia or cardiovascular disease. We tested 17 exposure phenotypes in polygenic score (PGS) and Mendelian randomization analyses. Only two associated with the risk of SSS in Mendelian randomization, AF, and lower heart rate, suggesting causality. Powerful PGS analyses provided convincing evidence against causal associations for body mass index, cholesterol, triglycerides, and type 2 diabetes (P &gt; 0.05). Conclusion We report the associations of variants at six loci with SSS, including a missense variant in KRT8 that confers high risk in homozygotes and points to a mechanism specific to SSS development. Mendelian randomization supports a causal role for AF in the development of SSS. Graphical Abstract Summary of genetic insight into the pathogenesis of SSS and the role of risk factors in its development. Variants at six loci (named by corresponding gene names) were identified through GWAS and their unique phenotypic associations provide insight into distinct pathways underlying SSS. Investigation of the role of risk factors in SSS development supported a causal role for AF and heart rate and provided convincing evidence against causality for BMI, cholesterol (HDL and non-HDL), triglycerides and T2D. Mendelian randomization did not support causality for CAD, ischaemic stroke, heart failure, PR interval or QRS duration (not shown in figure). 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insight into sick sinus syndrome</title><author>Thorolfsdottir, Rosa B ; Sveinbjornsson, Gardar ; Aegisdottir, Hildur M ; Benonisdottir, Stefania ; Stefansdottir, Lilja ; Ivarsdottir, Erna V ; Halldorsson, Gisli H ; Sigurdsson, Jon K ; Torp-Pedersen, Christian ; Weeke, Peter E ; Brunak, Søren ; Westergaard, David ; Pedersen, Ole B ; Sorensen, Erik ; Nielsen, Kaspar R ; Burgdorf, Kristoffer S ; Banasik, Karina ; Brumpton, Ben ; Zhou, Wei ; Oddsson, Asmundur ; Tragante, Vinicius ; Hjorleifsson, Kristjan E ; Davidsson, Olafur B ; Rajamani, Sridharan ; Jonsson, Stefan ; Torfason, Bjarni ; Valgardsson, Atli S ; Thorgeirsson, Gudmundur ; Frigge, Michael L ; Thorleifsson, Gudmar ; Norddahl, Gudmundur L ; Helgadottir, Anna ; Gretarsdottir, Solveig ; Sulem, Patrick ; Jonsdottir, Ingileif ; Willer, Cristen J ; Hveem, Kristian ; Bundgaard, Henning ; Ullum, Henrik ; Arnar, David O ; Thorsteinsdottir, Unnur ; Gudbjartsson, Daniel F ; Holm, Hilma ; Stefansson, Kari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-c372ea8f011cf1caa04b36a65b59904bc5230012f9d533d059d181785d7a94663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Clinical Research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thorolfsdottir, Rosa B</creatorcontrib><creatorcontrib>Sveinbjornsson, Gardar</creatorcontrib><creatorcontrib>Aegisdottir, Hildur M</creatorcontrib><creatorcontrib>Benonisdottir, Stefania</creatorcontrib><creatorcontrib>Stefansdottir, Lilja</creatorcontrib><creatorcontrib>Ivarsdottir, Erna V</creatorcontrib><creatorcontrib>Halldorsson, Gisli H</creatorcontrib><creatorcontrib>Sigurdsson, Jon K</creatorcontrib><creatorcontrib>Torp-Pedersen, Christian</creatorcontrib><creatorcontrib>Weeke, Peter E</creatorcontrib><creatorcontrib>Brunak, Søren</creatorcontrib><creatorcontrib>Westergaard, David</creatorcontrib><creatorcontrib>Pedersen, Ole B</creatorcontrib><creatorcontrib>Sorensen, Erik</creatorcontrib><creatorcontrib>Nielsen, Kaspar R</creatorcontrib><creatorcontrib>Burgdorf, Kristoffer S</creatorcontrib><creatorcontrib>Banasik, Karina</creatorcontrib><creatorcontrib>Brumpton, Ben</creatorcontrib><creatorcontrib>Zhou, Wei</creatorcontrib><creatorcontrib>Oddsson, Asmundur</creatorcontrib><creatorcontrib>Tragante, Vinicius</creatorcontrib><creatorcontrib>Hjorleifsson, Kristjan E</creatorcontrib><creatorcontrib>Davidsson, Olafur B</creatorcontrib><creatorcontrib>Rajamani, Sridharan</creatorcontrib><creatorcontrib>Jonsson, Stefan</creatorcontrib><creatorcontrib>Torfason, Bjarni</creatorcontrib><creatorcontrib>Valgardsson, Atli S</creatorcontrib><creatorcontrib>Thorgeirsson, Gudmundur</creatorcontrib><creatorcontrib>Frigge, Michael L</creatorcontrib><creatorcontrib>Thorleifsson, Gudmar</creatorcontrib><creatorcontrib>Norddahl, Gudmundur L</creatorcontrib><creatorcontrib>Helgadottir, Anna</creatorcontrib><creatorcontrib>Gretarsdottir, Solveig</creatorcontrib><creatorcontrib>Sulem, Patrick</creatorcontrib><creatorcontrib>Jonsdottir, Ingileif</creatorcontrib><creatorcontrib>Willer, Cristen J</creatorcontrib><creatorcontrib>Hveem, Kristian</creatorcontrib><creatorcontrib>Bundgaard, Henning</creatorcontrib><creatorcontrib>Ullum, Henrik</creatorcontrib><creatorcontrib>Arnar, David O</creatorcontrib><creatorcontrib>Thorsteinsdottir, Unnur</creatorcontrib><creatorcontrib>Gudbjartsson, Daniel F</creatorcontrib><creatorcontrib>Holm, Hilma</creatorcontrib><creatorcontrib>Stefansson, Kari</creatorcontrib><creatorcontrib>DBDS Genomic Consortium</creatorcontrib><creatorcontrib>DBDS Genomic Consortium</creatorcontrib><collection>Access via Oxford University Press (Open Access Collection)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European heart journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thorolfsdottir, Rosa B</au><au>Sveinbjornsson, Gardar</au><au>Aegisdottir, Hildur M</au><au>Benonisdottir, Stefania</au><au>Stefansdottir, Lilja</au><au>Ivarsdottir, Erna V</au><au>Halldorsson, Gisli H</au><au>Sigurdsson, Jon K</au><au>Torp-Pedersen, Christian</au><au>Weeke, Peter E</au><au>Brunak, Søren</au><au>Westergaard, David</au><au>Pedersen, Ole B</au><au>Sorensen, Erik</au><au>Nielsen, Kaspar R</au><au>Burgdorf, Kristoffer S</au><au>Banasik, Karina</au><au>Brumpton, Ben</au><au>Zhou, Wei</au><au>Oddsson, Asmundur</au><au>Tragante, Vinicius</au><au>Hjorleifsson, Kristjan E</au><au>Davidsson, Olafur B</au><au>Rajamani, Sridharan</au><au>Jonsson, Stefan</au><au>Torfason, Bjarni</au><au>Valgardsson, Atli S</au><au>Thorgeirsson, Gudmundur</au><au>Frigge, Michael L</au><au>Thorleifsson, Gudmar</au><au>Norddahl, Gudmundur L</au><au>Helgadottir, Anna</au><au>Gretarsdottir, Solveig</au><au>Sulem, Patrick</au><au>Jonsdottir, Ingileif</au><au>Willer, Cristen J</au><au>Hveem, Kristian</au><au>Bundgaard, Henning</au><au>Ullum, Henrik</au><au>Arnar, David O</au><au>Thorsteinsdottir, Unnur</au><au>Gudbjartsson, Daniel F</au><au>Holm, Hilma</au><au>Stefansson, Kari</au><aucorp>DBDS Genomic Consortium</aucorp><aucorp>DBDS Genomic Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic insight into sick sinus syndrome</atitle><jtitle>European heart journal</jtitle><addtitle>Eur Heart J</addtitle><date>2021-05-21</date><risdate>2021</risdate><volume>42</volume><issue>20</issue><spage>1959</spage><epage>1971</epage><pages>1959-1971</pages><issn>0195-668X</issn><eissn>1522-9645</eissn><abstract>Abstract Aims The aim of this study was to use human genetics to investigate the pathogenesis of sick sinus syndrome (SSS) and the role of risk factors in its development. Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics, the Copenhagen Hospital Biobank, UK Biobank, and the HUNT study. Variants at six loci associated with SSS, a reported missense variant in MYH6, known atrial fibrillation (AF)/electrocardiogram variants at PITX2, ZFHX3, TTN/CCDC141, and SCN10A and a low-frequency (MAF = 1.1–1.8%) missense variant, p.Gly62Cys in KRT8 encoding the intermediate filament protein keratin 8. A full genotypic model best described the p.Gly62Cys association (P = 1.6 × 10−20), with an odds ratio (OR) of 1.44 for heterozygotes and a disproportionally large OR of 13.99 for homozygotes. All the SSS variants increased the risk of pacemaker implantation. Their association with AF varied and p.Gly62Cys was the only variant not associating with any other arrhythmia or cardiovascular disease. We tested 17 exposure phenotypes in polygenic score (PGS) and Mendelian randomization analyses. Only two associated with the risk of SSS in Mendelian randomization, AF, and lower heart rate, suggesting causality. Powerful PGS analyses provided convincing evidence against causal associations for body mass index, cholesterol, triglycerides, and type 2 diabetes (P &gt; 0.05). Conclusion We report the associations of variants at six loci with SSS, including a missense variant in KRT8 that confers high risk in homozygotes and points to a mechanism specific to SSS development. Mendelian randomization supports a causal role for AF in the development of SSS. Graphical Abstract Summary of genetic insight into the pathogenesis of SSS and the role of risk factors in its development. Variants at six loci (named by corresponding gene names) were identified through GWAS and their unique phenotypic associations provide insight into distinct pathways underlying SSS. Investigation of the role of risk factors in SSS development supported a causal role for AF and heart rate and provided convincing evidence against causality for BMI, cholesterol (HDL and non-HDL), triglycerides and T2D. Mendelian randomization did not support causality for CAD, ischaemic stroke, heart failure, PR interval or QRS duration (not shown in figure). Red and blue arrows represent positive and negative associations, respectively.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33580673</pmid><doi>10.1093/eurheartj/ehaa1108</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-4406-9643</orcidid><orcidid>https://orcid.org/0000-0003-1676-864X</orcidid><orcidid>https://orcid.org/0000-0001-7067-9862</orcidid><orcidid>https://orcid.org/0000-0001-7475-0398</orcidid><orcidid>https://orcid.org/0000-0002-3058-1059</orcidid><orcidid>https://orcid.org/0000-0001-8339-150X</orcidid><orcidid>https://orcid.org/0000-0002-8223-8957</orcidid><orcidid>https://orcid.org/0000-0003-2892-6131</orcidid><orcidid>https://orcid.org/0000-0001-7719-0859</orcidid><orcidid>https://orcid.org/0000-0003-0128-8432</orcidid><orcidid>https://orcid.org/0000-0002-9517-6636</orcidid><orcidid>https://orcid.org/0000-0002-2069-0681</orcidid><orcidid>https://orcid.org/0000-0001-5814-6844</orcidid><orcidid>https://orcid.org/0000-0002-7049-2827</orcidid><orcidid>https://orcid.org/0000-0002-4606-5163</orcidid><orcidid>https://orcid.org/0000-0003-2429-9468</orcidid><orcidid>https://orcid.org/0000-0001-5019-514X</orcidid><orcidid>https://orcid.org/0000-0002-7851-1818</orcidid><orcidid>https://orcid.org/0000-0001-7123-6123</orcidid><orcidid>https://orcid.org/0000-0002-5222-9857</orcidid><orcidid>https://orcid.org/0000-0003-4623-9087</orcidid><orcidid>https://orcid.org/0000-0003-2312-5976</orcidid><orcidid>https://orcid.org/0000-0001-7306-9058</orcidid><orcidid>https://orcid.org/0000-0003-2489-2499</orcidid><orcidid>https://orcid.org/0000-0001-5645-4966</orcidid><oa>free_for_read</oa></addata></record>
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subjects Clinical Research
title Genetic insight into sick sinus syndrome
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