Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

Christophersen, Ingrid E; Rienstra, Michiel; Roselli, Carolina; Yin, Xu-Cheng; Geelhoed, Bastiaan; Barnard, J. A.; Lin, Honghuang; Arking, Dan E.; Smith, Albert V.; Albert, Christine M.; Chaffin, Mark; Tucker, Nathan R; Li, Molong; Klarin, Derek; Bihlmeyer, Nathan A.; Low, Siew‐Kee; Weeke, Peter; Müller‐Nurasyid, Martina; Smith, J Gustav; Brody, Jennifer A.; Niemeijer, Maartje N.; Dörr, Marcus; Trompet, Stella; Huffman, Jennifer E.; Gustafsson, Stefan; Schurmann, Claudia; Kleber, Marcus E.; Lyytikäinen, Leo-Pekka; Seppälä, Ilkka; Malik, Rayaz A.; Horimoto, Andrea R V R; Pérez, Marco; Sinisalo, Juha; Aeschbacher, Stefanie; Thériault, Sébastien; Yao, Jie; Radmanesh, Farid; Weiß, Stefan; Teumer, Alexander; Choi, Seung Hoan; Weng, Lu‐Chen; Clauß, Sebastian; Deo, Rajat; Rader, Daniel J.; Shah, Svati H.; Sun, Albert Y.; Hopewell, Jemma C.; Debette, Stéphanie; Chauhan, Ganesh; Yang, Qian; Worrall, Bradford B.; Paré, Guillaume; Kamatani, Yoichiro; Hagemeijer, Yanick; Verweij, Niek; Siland, Joylene E.; Kubo, Michiaki; Smith, Jonathan D.; Wagoner, David R. Van; Bis, Joshua C.; Perz, Siegfried; Psaty, Bruce M.; Ridker, Paul M.; Magnani, Jared W.; Harris, Tamara B.; Launer, Lenore J.; Shoemaker, M. Benjamin; Padmanabhan, Sandosh; Haessler, Jeffrey; Bartz, Traci M.; Waldenberger, Mélanie; Lichtner, Peter; Arendt, Marina; Krieger, José Eduardo; Kähönen, Mika; Risch, L.; Mansur, Alfredo José; Peters, Annette; Smith, Blair H.; Lind, Lars; Scott, Stuart A.; Lu, Yingchang; Bottinger, Erwin B; Hernesniemi, Jussi; Lindgren, Cecilia M.; Wong, Jorge; Huang, Jie; Eskola, Markku; Morris, Andrew P.; Ford, Ian; Reiner, Alexander P.; Delgado, Graciela; Chen, Lin Y.; Chen, Yii‐Der Ida; Sandhu, Roopinder K.; Li, Man; Boerwinkle, Eric; Eisele, Lewin; Lannfelt, Lars; Rost, Natalia S.; Anderson, Chris; Taylor, Kent D.; Campbell, Archie; Magnusson, Patrik K. E.; Porteous, David J.; Hocking, Lynne J.; Vlachopoulou, Efthymia; Pedersen, Nancy L.; Nikus, Kjell; Orho‐Melander, Marju; Hamsten, Anders; Heeringa, Jan; Denny, Joshua C.; Kriebel, Jennifer; Darbar, Dawood; Newton‐Cheh, Christopher; Shaffer, Christian M.; Macfarlane, Peter W.; Nöthen, Markus M.; Almgren, Peter; Huang, Paul L.; Sotoodehnia, Nona; Soliman, Elsayed Z; Uitterlinden, André G.; Hofman, Albert; Franco, Oscar H.; Völker, Uwe; Jöckel, Karl‐Heinz; Sinner, Moritz F.; Lin, Henry J.; Guo, Xiuqing; Dichgans, Martin; Ingelsson, Erik; Kooperberg, Charles; Melander, Olle; Loos, Ruth J.F.; Laurikka, Jari; Conen, David; Rosand, Jonathan; Harst, Pim van der; Lokki, Marja-Liisa; Kathiresan, Sekar; Pereira, Alexandre C.; Jukema, J. Wouter; Hayward, Caroline; Rotter, Jerome I.; März, Winfried; Lehtimäki, Terho; Stricker, Bruno H.; Chung, Mina K.; Felix, Stephan B.; Gudnason, Vilmundur; Alonso, Álvaro; Roden, Dan M.; Kääb, Stefan; Chasman, Daniel I.; Heckbert, Susan R.; Benjamin, Emelia J.; Tanaka, Toshihiro; Lunetta, Kathryn L.; Lubitz, Steven A; Ellinor, Patrick T.

doi:10.1038/ng0817-1286c

Cited by 5 publications

(6 citation statements)

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“…The GWAS summary data for coronary artery disease, atrial fibrillation, and stroke were obtained from large-scale GWAS meta-analyses released by corresponding international consortium. 11,31,38 The majority of participants included in GWAS meta-analyses were of European ancestry (ranging from 77% to 100%).…”

Section: Data Sourcesmentioning

confidence: 99%

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Zhu

Wang²,

Liu

et al. 2022

Pain

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Section: Data Sourcesmentioning

confidence: 99%

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Zhu

Wang²,

Liu

et al. 2022

Pain

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“…For the score derivation using sBayesR, we used summary statistics from the 2017 AF GWAS 30 and sparse LD matrix with 2.8 million single nucleotide polymorphisms calculated from 50k UKBB individuals precomputed to be used with SBayesR (https://zenodo.org/record/3375373#.XvoLFJNKhp9). We removed ambiguous variants with A/T and C/G and variants in the major histocompatibility complex region.…”

Section: Methodsmentioning

confidence: 99%

“…We used 5 methods to estimate the genetic risk of AF in this study, including pruning and thresholding, 28 LDpred, 16 LDpred-funct-inf, 18 sBayesR, 17 and PRS-continuous shrinkage (CS). 29 All scores were derived from a 2017 GWAS of AF 30 and validated in independent UKBB individuals. The optimal pruning and thresholding and LDpred scores were previously published.…”

Section: Methodsmentioning

confidence: 99%

“…The optimal pruning and thresholding and LDpred scores were previously published. 28,31 For the score derivation using LDpred-funct-inf, we used summary statistics from the same 2017 AF GWAS 30 For the score derivation using sBayesR, we used summary statistics from the 2017 AF GWAS 30 and sparse LD matrix with 2.8 million single nucleotide polymorphisms calculated from 50k UKBB individuals precomputed to be used with SBayesR (https://zenodo.org/record/3375373#.XvoLFJNKhp9).…”

Section: Prs Derivationmentioning

confidence: 99%

“…For the score derivation using PRS-CS, we used summary statistics from the 2017 AF GWAS 30 and LD reference constructed using the 1000 Genomes European samples (phase 3) with HapMap3 single nucleotide polymorphisms provided by the PRS-CS team. 29 We derived a PRS-CS score with 1 111 128 variants and validated the score in the UKBB.…”

Section: Prs Derivationmentioning

confidence: 99%

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Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke

Weng

Khurshid

Gunn

et al. 2023

Stroke

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Background: Stroke is a leading cause of death and disability worldwide. Atrial fibrillation (AF) is a common cause of stroke but may not be detectable at the time of stroke. We hypothesized that an AF polygenic risk score (PRS) can discriminate between cardioembolic stroke and noncardioembolic strokes. Methods: We evaluated AF and stroke risk in 26 145 individuals of European descent from the Stroke Genetics Network case-control study. AF genetic risk was estimated using 3 recently developed PRS methods (LDpred-funct-inf, sBayesR, and PRS-CS) and 2 previously validated PRSs. We performed logistic regression of each AF PRS on AF status and separately cardioembolic stroke, adjusting for clinical risk score (CRS), imputation group, and principal components. We calculated model discrimination of AF and cardioembolic stroke using the concordance statistic (c-statistic) and compared c-statistics using 2000-iteration bootstrapping. We also assessed reclassification of cardioembolic stroke with the addition of PRS to either CRS or a modified CHA 2 DS 2 -VASc score alone. Results: Each AF PRS was significantly associated with AF and with cardioembolic stroke after adjustment for CRS. Addition of each AF PRS significantly improved discrimination as compared with CRS alone ( P <0.01). When combined with the CRS, both PRS-CS and LDpred scores discriminated both AF and cardioembolic stroke (c-statistic 0.84 for AF; 0.74 for cardioembolic stroke) better than 3 other PRS scores ( P <0.01). Using PRS-CS PRS and CRS in combination resulted in more appropriate reclassification of stroke events as compared with CRS alone (event reclassification [net reclassification indices] + =14% [95% CI, 10%–18%]; nonevent reclassification [net reclassification indices] − =17% [95% CI, 15%–0.19%]) or the modified CHA 2 DS 2 -VASc score (net reclassification indices + =11% [95% CI, 7%–15%]; net reclassification indices − =14% [95% CI, 12%–16%]) alone. Conclusions: Addition of polygenic risk of AF to clinical risk factors modestly improves the discrimination of cardioembolic from noncardioembolic strokes, as well as reclassification of stroke subtype. Polygenic risk of AF may be a useful biomarker for identifying strokes caused by AF.

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Termination of Vernakalant-Resistant Atrial Fibrillation by Inhibition of Small-Conductance Ca ²⁺ -Activated K ⁺ Channels in Pigs

Diness

Skibsbye

Simó-Vicens

et al. 2017

Circ: Arrhythmia and Electrophysiology

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Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

Cited by 5 publications

References 0 publications

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke

Termination of Vernakalant-Resistant Atrial Fibrillation by Inhibition of Small-Conductance Ca ²⁺ -Activated K ⁺ Channels in Pigs

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Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

Cited by 5 publications

References 0 publications

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Multisite chronic pain as a causal risk factor for coronary artery disease: findings from Mendelian randomization

Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke

Termination of Vernakalant-Resistant Atrial Fibrillation by Inhibition of Small-Conductance Ca 2+ -Activated K + Channels in Pigs

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Product

Resources

About

Termination of Vernakalant-Resistant Atrial Fibrillation by Inhibition of Small-Conductance Ca ²⁺ -Activated K ⁺ Channels in Pigs