Literature DB >> 28039329

A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

Raymond Noordam1,2, Colleen M Sitlani3, Christy L Avery4, James D Stewart4,5, Stephanie M Gogarten6, Kerri L Wiggins3, Stella Trompet2,7, Helen R Warren8,9, Fangui Sun10, Daniel S Evans11, Xiaohui Li12, Jin Li13, Albert V Smith14,15, Joshua C Bis3, Jennifer A Brody3, Evan L Busch16,17, Mark J Caulfield8,9, Yii-Der I Chen12, Steven R Cummings11, L Adrienne Cupples10,18, Qing Duan19, Oscar H Franco1, Rául Méndez-Giráldez4, Tamara B Harris20, Susan R Heckbert21, Diana van Heemst2, Albert Hofman1,16, James S Floyd3,21, Jan A Kors22, Lenore J Launer20, Yun Li19,23,24, Ruifang Li-Gao25, Leslie A Lange19, Henry J Lin12,26, Renée de Mutsert25, Melanie D Napier4, Christopher Newton-Cheh18,27,28, Neil Poulter29, Alexander P Reiner21,30, Kenneth M Rice6, Jeffrey Roach31, Carlos J Rodriguez32,33, Frits R Rosendaal25, Naveed Sattar34, Peter Sever29, Amanda A Seyerle4, P Eline Slagboom35, Elsayed Z Soliman36, Nona Sotoodehnia3,21, David J Stott37, Til Stürmer4,38, Kent D Taylor12, Timothy A Thornton6, André G Uitterlinden39, Kirk C Wilhelmsen19,40, James G Wilson41, Vilmundur Gudnason14,15, J Wouter Jukema7,42,43, Cathy C Laurie6, Yongmei Liu44, Dennis O Mook-Kanamori25,45,46, Patricia B Munroe8,9, Jerome I Rotter12, Ramachandran S Vasan18,47, Bruce M Psaty3,21,48,49, Bruno H Stricker1,50, Eric A Whitsel4,51.   

Abstract

BACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals. METHODS AND
RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e-9) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e-8). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e-8). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.
CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Genome-wide; QT interval electrocardiography; RR interval; drug-gene interaction; tri/tetracyclic antidepressants

Mesh:

Substances:

Year:  2016        PMID: 28039329      PMCID: PMC5406254          DOI: 10.1136/jmedgenet-2016-104112

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  39 in total

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Journal:  Genet Epidemiol       Date:  2015-01-28       Impact factor: 2.135

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Authors:  S L Zeger; K Y Liang
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5.  Impact of ancestry and common genetic variants on QT interval in African Americans.

Authors:  J Gustav Smith; Christy L Avery; Daniel S Evans; Michael A Nalls; Yan A Meng; Erin N Smith; Cameron Palmer; Toshiko Tanaka; Reena Mehra; Anne M Butler; Taylor Young; Sarah G Buxbaum; Kathleen F Kerr; Gerald S Berenson; Renate B Schnabel; Guo Li; Patrick T Ellinor; Jared W Magnani; Wei Chen; Joshua C Bis; J David Curb; Wen-Chi Hsueh; Jerome I Rotter; Yongmei Liu; Anne B Newman; Marian C Limacher; Kari E North; Alexander P Reiner; P Miguel Quibrera; Nicholas J Schork; Andrew B Singleton; Bruce M Psaty; Elsayed Z Soliman; Allen J Solomon; Sathanur R Srinivasan; Alvaro Alonso; Robert Wallace; Susan Redline; Zhu-Ming Zhang; Wendy S Post; Alan B Zonderman; Herman A Taylor; Sarah S Murray; Luigi Ferrucci; Dan E Arking; Michele K Evans; Ervin R Fox; Nona Sotoodehnia; Susan R Heckbert; Eric A Whitsel; Christopher Newton-Cheh
Journal:  Circ Cardiovasc Genet       Date:  2012-11-19

6.  Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.

Authors:  Colleen M Sitlani; Kenneth M Rice; Thomas Lumley; Barbara McKnight; L Adrienne Cupples; Christy L Avery; Raymond Noordam; Bruno H C Stricker; Eric A Whitsel; Bruce M Psaty
Journal:  Stat Med       Date:  2014-10-09       Impact factor: 2.373

7.  Common genetic variation near the connexin-43 gene is associated with resting heart rate in African Americans: a genome-wide association study of 13,372 participants.

Authors:  R Deo; M A Nalls; C L Avery; J G Smith; D S Evans; M F Keller; A M Butler; S G Buxbaum; G Li; P Miguel Quibrera; E N Smith; T Tanaka; E L Akylbekova; A Alonso; D E Arking; E J Benjamin; G S Berenson; J C Bis; L Y Chen; W Chen; S R Cummings; P T Ellinor; M K Evans; L Ferrucci; E R Fox; S R Heckbert; G Heiss; W C Hsueh; K F Kerr; M C Limacher; Y Liu; S A Lubitz; J W Magnani; R Mehra; G M Marcus; S S Murray; A B Newman; O Njajou; K E North; D N Paltoo; B M Psaty; S S Redline; A P Reiner; J G Robinson; J I Rotter; T E Samdarshi; R B Schnabel; N J Schork; A B Singleton; D Siscovick; E Z Soliman; N Sotoodehnia; S R Srinivasan; H A Taylor; M Trevisan; Z Zhang; A B Zonderman; C Newton-Cheh; E A Whitsel
Journal:  Heart Rhythm       Date:  2012-11-24       Impact factor: 6.343

8.  Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.

Authors:  Bruce M Psaty; Christopher J O'Donnell; Vilmundur Gudnason; Kathryn L Lunetta; Aaron R Folsom; Jerome I Rotter; André G Uitterlinden; Tamara B Harris; Jacqueline C M Witteman; Eric Boerwinkle
Journal:  Circ Cardiovasc Genet       Date:  2009-02

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Journal:  Hum Mol Genet       Date:  2015-01-26       Impact factor: 6.150

10.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

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Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

Review 2.  Genomic approaches for the elucidation of genes and gene networks underlying cardiovascular traits.

Authors:  M E Adriaens; C R Bezzina
Journal:  Biophys Rev       Date:  2018-06-22

3.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082

  3 in total

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