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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.


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 (?=56.3, pinteraction=3.9e-9) and rs9830388 in UBE2E2 (?=25.2, pinteraction=1.7e-8). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (?=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.

SUBMITTER: Noordam R 

PROVIDER: S-EPMC5406254 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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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.

Noordam Raymond R   Sitlani Colleen M CM   Avery Christy L CL   Stewart James D JD   Gogarten Stephanie M SM   Wiggins Kerri L KL   Trompet Stella S   Warren Helen R HR   Sun Fangui F   Evans Daniel S DS   Li Xiaohui X   Li Jin J   Smith Albert V AV   Bis Joshua C JC   Brody Jennifer A JA   Busch Evan L EL   Caulfield Mark J MJ   Chen Yii-Der I YI   Cummings Steven R SR   Cupples L Adrienne LA   Duan Qing Q   Franco Oscar H OH   Méndez-Giráldez Rául R   Harris Tamara B TB   Heckbert Susan R SR   van Heemst Diana D   Hofman Albert A   Floyd James S JS   Kors Jan A JA   Launer Lenore J LJ   Li Yun Y   Li-Gao Ruifang R   Lange Leslie A LA   Lin Henry J HJ   de Mutsert Renée R   Napier Melanie D MD   Newton-Cheh Christopher C   Poulter Neil N   Reiner Alexander P AP   Rice Kenneth M KM   Roach Jeffrey J   Rodriguez Carlos J CJ   Rosendaal Frits R FR   Sattar Naveed N   Sever Peter P   Seyerle Amanda A AA   Slagboom P Eline PE   Soliman Elsayed Z EZ   Sotoodehnia Nona N   Stott David J DJ   Stürmer Til T   Taylor Kent D KD   Thornton Timothy A TA   Uitterlinden André G AG   Wilhelmsen Kirk C KC   Wilson James G JG   Gudnason Vilmundur V   Jukema J Wouter JW   Laurie Cathy C CC   Liu Yongmei Y   Mook-Kanamori Dennis O DO   Munroe Patricia B PB   Rotter Jerome I JI   Vasan Ramachandran S RS   Psaty Bruce M BM   Stricker Bruno H BH   Whitsel Eric A EA  

Journal of medical genetics 20161230 5


<h4>Background</h4>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.<h4>Methods and results</h4>We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputat  ...[more]

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