@article {6598, title = {Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval.}, journal = {Epidemiology}, volume = {25}, year = {2014}, month = {2014 Nov}, pages = {790-8}, abstract = {

BACKGROUND: QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations.

METHODS: Here, we examine the direction, magnitude, and precision of effect sizes for 21 previously reported SNPs from 12 QT loci, in populations of European (n = 16,398), African (n = 5,437), American Indian (n = 5,032), Hispanic (n = 1,143), and Asian (n = 932) descent as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Estimates obtained from linear regression models stratified by race/ethnicity were combined using inverse-variance weighted meta-analysis. Heterogeneity was evaluated using Cochran{\textquoteright}s Q test.

RESULTS: Of 21 SNPs, 7 showed consistent direction of effect across all 5 populations, and an additional 9 had estimated effects that were consistent across 4 populations. Despite consistent direction of effect, 9 of 16 SNPs had evidence (P < 0.05) of heterogeneity by race/ethnicity. For these 9 SNPs, linkage disequilibrium plots often indicated substantial variation in linkage disequilibrium patterns among the various racial/ethnic groups, as well as possible allelic heterogeneity.

CONCLUSIONS: These results emphasize the importance of analyzing racial/ethnic groups separately in genetic studies. Furthermore, they underscore the possible utility of trans-ethnic studies to pinpoint underlying casual variants influencing heritable traits such as QT.

}, keywords = {Aged, Continental Population Groups, Electrocardiography, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Long QT Syndrome, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors}, issn = {1531-5487}, doi = {10.1097/EDE.0000000000000168}, author = {Seyerle, Amanda A and Young, Alicia M and Jeff, Janina M and Melton, Phillip E and Jorgensen, Neal W and Lin, Yi and Carty, Cara L and Deelman, Ewa and Heckbert, Susan R and Hindorff, Lucia A and Jackson, Rebecca D and Martin, Lisa W and Okin, Peter M and Perez, Marco V and Psaty, Bruce M and Soliman, Elsayed Z and Whitsel, Eric A and North, Kari E and Laston, Sandra and Kooperberg, Charles and Avery, Christy L} } @article {7463, title = {Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations.}, journal = {Heart Rhythm}, volume = {14}, year = {2017}, month = {2017 Apr}, pages = {572-580}, abstract = {

BACKGROUND: The electrocardiographically measured QT interval (QT) is heritable and its prolongation is an established risk factor for several cardiovascular diseases. Yet, most QT genetic studies have been performed in European ancestral populations, possibly reducing their global relevance.

OBJECTIVE: To leverage diversity and improve biological insight, we fine mapped 16 of the 35 previously identified QT loci (46\%) in populations of African American (n = 12,410) and Hispanic/Latino (n = 14,837) ancestry.

METHODS: Racial/ethnic-specific multiple linear regression analyses adjusted for heart rate and clinical covariates were examined separately and in combination after inverse-variance weighted trans-ethnic meta-analysis.

RESULTS: The 16 fine-mapped QT loci included on the Illumina Metabochip represented 21 independent signals, of which 16 (76\%) were significantly (P-value<=9.1{\texttimes}10(-5)) associated with QT. Through sequential conditional analysis we also identified three trans-ethnic novel SNPs at ATP1B1, SCN5A-SCN10A, and KCNQ1 and three Hispanic/Latino-specific novel SNPs at NOS1AP and SCN5A-SCN10A (two novel SNPs) with evidence of associations with QT independent of previous identified GWAS lead SNPs. Linkage disequilibrium patterns helped to narrow the region likely to contain the functional variants at several loci, including NOS1AP, USP50-TRPM7, and PRKCA, although intervals surrounding SLC35F1-PLN and CNOT1 remained broad in size (>100 kb). Finally, bioinformatics-based functional characterization suggested a regulatory function in cardiac tissues for the majority of independent signals that generalized and the novel SNPs.

CONCLUSION: Our findings suggest that a majority of identified SNPs implicate gene regulatory dysfunction in QT prolongation, that the same loci influence variation in QT across global populations, and that additional, novel, population-specific QT signals exist.

}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2016.12.021}, author = {Avery, Christy L and Wassel, Christina L and Richard, Melissa A and Highland, Heather M and Bien, Stephanie and Zubair, Niha and Soliman, Elsayed Z and Fornage, Myriam and Bielinski, Suzette J and Tao, Ran and Seyerle, Amanda A and Shah, Sanjiv J and Lloyd-Jones, Donald M and Buyske, Steven and Rotter, Jerome I and Post, Wendy S and Rich, Stephen S and Hindorff, Lucia A and Jeff, Janina M and Shohet, Ralph V and Sotoodehnia, Nona and Lin, Dan Yu and Whitsel, Eric A and Peters, Ulrike and Haiman, Christopher A and Crawford, Dana C and Kooperberg, Charles and North, Kari E} } @article {7353, title = {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.}, journal = {J Med Genet}, volume = {54}, year = {2017}, month = {2017 May}, pages = {313-323}, 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.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-104112}, author = {Noordam, Raymond and Sitlani, Colleen M and Avery, Christy L and Stewart, James D and Gogarten, Stephanie M and Wiggins, Kerri L and Trompet, Stella and Warren, Helen R and Sun, Fangui and Evans, Daniel S and Li, Xiaohui and Li, Jin and Smith, Albert V and Bis, Joshua C and Brody, Jennifer A and Busch, Evan L and Caulfield, Mark J and Chen, Yii-der I and Cummings, Steven R and Cupples, L Adrienne and Duan, Qing and Franco, Oscar H and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Harris, Tamara B and Heckbert, Susan R and van Heemst, Diana and Hofman, Albert and Floyd, James S and Kors, Jan A and Launer, Lenore J and Li, Yun and Li-Gao, Ruifang and Lange, Leslie A and Lin, Henry J and de Mutsert, Ren{\'e}e and Napier, Melanie D and Newton-Cheh, Christopher and Poulter, Neil and Reiner, Alexander P and Rice, Kenneth M and Roach, Jeffrey and Rodriguez, Carlos J and Rosendaal, Frits R and Sattar, Naveed and Sever, Peter and Seyerle, Amanda A and Slagboom, P Eline and Soliman, Elsayed Z and Sotoodehnia, Nona and Stott, David J and St{\"u}rmer, Til and Taylor, Kent D and Thornton, Timothy A and Uitterlinden, Andr{\'e} G and Wilhelmsen, Kirk C and Wilson, James G and Gudnason, Vilmundur and Jukema, J Wouter and Laurie, Cathy C and Liu, Yongmei and Mook-Kanamori, Dennis O and Munroe, Patricia B and Rotter, Jerome I and Vasan, Ramachandran S and Psaty, Bruce M and Stricker, Bruno H and Whitsel, Eric A} } @article {7669, title = {Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy.}, journal = {Sci Rep}, volume = {8}, year = {2018}, month = {2018 Apr 04}, pages = {5675}, abstract = {

The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically~identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 {\texttimes} 10) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 {\texttimes} 10) and multi-trait analysis (P = 2.9 {\texttimes} 10) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.

}, issn = {2045-2322}, doi = {10.1038/s41598-018-23843-z}, author = {Napier, Melanie D and Franceschini, Nora and Gondalia, Rahul and Stewart, James D and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Sitlani, Colleen M and Seyerle, Amanda A and Highland, Heather M and Li, Yun and Wilhelmsen, Kirk C and Yan, Song and Duan, Qing and Roach, Jeffrey and Yao, Jie and Guo, Xiuqing and Taylor, Kent D and Heckbert, Susan R and Rotter, Jerome I and North, Kari E and Reiner, Alexander P and Zhang, Zhu-Ming and Tinker, Lesley F and Liao, Duanping and Laurie, Cathy C and Gogarten, Stephanie M and Lin, Henry J and Brody, Jennifer A and Bartz, Traci M and Psaty, Bruce M and Sotoodehnia, Nona and Soliman, Elsayed Z and Avery, Christy L and Whitsel, Eric A} } @article {8368, title = {Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 May 21}, pages = {2542}, abstract = {

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5\% to 62.6\%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

}, issn = {2041-1723}, doi = {10.1038/s41467-020-15706-x}, author = {Ntalla, Ioanna and Weng, Lu-Chen and Cartwright, James H and Hall, Amelia Weber and Sveinbjornsson, Gardar and Tucker, Nathan R and Choi, Seung Hoan and Chaffin, Mark D and Roselli, Carolina and Barnes, Michael R and Mifsud, Borbala and Warren, Helen R and Hayward, Caroline and Marten, Jonathan and Cranley, James J and Concas, Maria Pina and Gasparini, Paolo and Boutin, Thibaud and Kolcic, Ivana and Polasek, Ozren and Rudan, Igor and Araujo, Nathalia M and Lima-Costa, Maria Fernanda and Ribeiro, Antonio Luiz P and Souza, Renan P and Tarazona-Santos, Eduardo and Giedraitis, Vilmantas and Ingelsson, Erik and Mahajan, Anubha and Morris, Andrew P and del Greco M, Fabiola and Foco, Luisa and G{\"o}gele, Martin and Hicks, Andrew A and Cook, James P and Lind, Lars and Lindgren, Cecilia M and Sundstr{\"o}m, Johan and Nelson, Christopher P and Riaz, Muhammad B and Samani, Nilesh J and Sinagra, Gianfranco and Ulivi, Sheila and K{\"a}h{\"o}nen, Mika and Mishra, Pashupati P and Mononen, Nina and Nikus, Kjell and Caulfield, Mark J and Dominiczak, Anna and Padmanabhan, Sandosh and Montasser, May E and O{\textquoteright}Connell, Jeff R and Ryan, Kathleen and Shuldiner, Alan R and Aeschbacher, Stefanie and Conen, David and Risch, Lorenz and Th{\'e}riault, S{\'e}bastien and Hutri-K{\"a}h{\"o}nen, Nina and Lehtim{\"a}ki, Terho and Lyytik{\"a}inen, Leo-Pekka and Raitakari, Olli T and Barnes, Catriona L K and Campbell, Harry and Joshi, Peter K and Wilson, James F and Isaacs, Aaron and Kors, Jan A and van Duijn, Cornelia M and Huang, Paul L and Gudnason, Vilmundur and Harris, Tamara B and Launer, Lenore J and Smith, Albert V and Bottinger, Erwin P and Loos, Ruth J F and Nadkarni, Girish N and Preuss, Michael H and Correa, Adolfo and Mei, Hao and Wilson, James and Meitinger, Thomas and M{\"u}ller-Nurasyid, Martina and Peters, Annette and Waldenberger, Melanie and Mangino, Massimo and Spector, Timothy D and Rienstra, Michiel and van de Vegte, Yordi J and van der Harst, Pim and Verweij, Niek and K{\"a}{\"a}b, Stefan and Schramm, Katharina and Sinner, Moritz F and Strauch, Konstantin and Cutler, Michael J and Fatkin, Diane and London, Barry and Olesen, Morten and Roden, Dan M and Benjamin Shoemaker, M and Gustav Smith, J and Biggs, Mary L and Bis, Joshua C and Brody, Jennifer A and Psaty, Bruce M and Rice, Kenneth and Sotoodehnia, Nona and De Grandi, Alessandro and Fuchsberger, Christian and Pattaro, Cristian and Pramstaller, Peter P and Ford, Ian and Wouter Jukema, J and Macfarlane, Peter W and Trompet, Stella and D{\"o}rr, Marcus and Felix, Stephan B and V{\"o}lker, Uwe and Weiss, Stefan and Havulinna, Aki S and Jula, Antti and S{\"a}{\"a}ksj{\"a}rvi, Katri and Salomaa, Veikko and Guo, Xiuqing and Heckbert, Susan R and Lin, Henry J and Rotter, Jerome I and Taylor, Kent D and Yao, Jie and de Mutsert, Ren{\'e}e and Maan, Arie C and Mook-Kanamori, Dennis O and Noordam, Raymond and Cucca, Francesco and Ding, Jun and Lakatta, Edward G and Qian, Yong and Tarasov, Kirill V and Levy, Daniel and Lin, Honghuang and Newton-Cheh, Christopher H and Lunetta, Kathryn L and Murray, Alison D and Porteous, David J and Smith, Blair H and Stricker, Bruno H and Uitterlinden, Andre and van den Berg, Marten E and Haessler, Jeffrey and Jackson, Rebecca D and Kooperberg, Charles and Peters, Ulrike and Reiner, Alexander P and Whitsel, Eric A and Alonso, Alvaro and Arking, Dan E and Boerwinkle, Eric and Ehret, Georg B and Soliman, Elsayed Z and Avery, Christy L and Gogarten, Stephanie M and Kerr, Kathleen F and Laurie, Cathy C and Seyerle, Amanda A and Stilp, Adrienne and Assa, Solmaz and Abdullah Said, M and Yldau van der Ende, M and Lambiase, Pier D and Orini, Michele and Ramirez, Julia and Van Duijvenboden, Stefan and Arnar, David O and Gudbjartsson, Daniel F and Holm, Hilma and Sulem, Patrick and Thorleifsson, Gudmar and Thorolfsdottir, Rosa B and Thorsteinsdottir, Unnur and Benjamin, Emelia J and Tinker, Andrew and Stefansson, Kari and Ellinor, Patrick T and Jamshidi, Yalda and Lubitz, Steven A and Munroe, Patricia B} } @article {9321, title = {Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.}, journal = {Circ Genom Precis Med}, year = {2023}, month = {2023 Mar 24}, pages = {e003532}, abstract = {

Background Risk for venous thromboembolism has a strong genetic component. Whole genome sequencingfrom the Trans-Omics for Precision Medicine program allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. Methods The 3793 cases and 7834 controls (11.6\% of cases were Black, Hispanic/Latino, or Asian American) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). Results Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only (odds ratio, 6.2 for carriers of rare variants; =7.4{\texttimes}10) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at (odds ratio, 3.8; =1.6{\texttimes}10), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: became significant (minimum =1.8{\texttimes}10 with the secondary filter), while did not (minimum =4.4{\texttimes}10 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, , became significant (=4.4{\texttimes}10 using all missense variants with minor allele frequency <0.0005). Conclusions Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel locus and to identify additional rare variation associated with venous thromboembolism.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.121.003532}, author = {Seyerle, Amanda A and Laurie, Cecelia A and Coombes, Brandon J and Jain, Deepti and Conomos, Matthew P and Brody, Jennifer and Chen, Ming-Huei and Gogarten, Stephanie M and Beutel, Kathleen M and Gupta, Namrata and Heckbert, Susan R and Jackson, Rebecca D and Johnson, Andrew D and Ko, Darae and Manson, JoAnn E and McKnight, Barbara and Metcalf, Ginger A and Morrison, Alanna C and Reiner, Alexander P and Sofer, Tamar and Tang, Weihong and Wiggins, Kerri L and Boerwinkle, Eric and Andrade, Mariza de and Gabriel, Stacey B and Gibbs, Richard A and Laurie, Cathy C and Psaty, Bruce M and Vasan, Ramachandran S and Rice, Ken and Kooperberg, Charles and Pankow, James S and Smith, Nicholas L and Pankratz, Nathan} }