Evidence map›Paper›PMID 25166880›Full record

ArticleEpidemiology (Cambridge, Mass.)2014

Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval.

Amanda A Seyerle, Alicia M Young, Janina M Jeff, Phillip E Melton, Neal W Jorgensen, Yi Lin, Cara L Carty, Ewa Deelman, Susan R Heckbert, Lucia A Hindorff and 11 more

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In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Amanda A SeyerleFrom the aDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC; bDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA; cCharles Bronfman Institute of Personalized Medicine, Mount Sinai School of Medicine, New York, NY; dCentre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Australia; eDepartment of Biostatistics, University of Washington, Seattle, WA; fInformation Sciences Institute and Computer Science Department, University of Southern California, Marina Del Rey, CA; gDepartment of Epidemiology, University of Washington, Seattle, WA; hCardiovascular Health Research Unit, University of Washington, Seattle, WA; iGroup Health Research Institute, Group Health Cooperative, Seattle, WA; jOffice of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD; kDepartment of Internal Medicine, Ohio State Medical Center, Columbus, OH; lDivision of Cardiology, George Washington University, Washington, DC; mDepartment of Medicine, Weill Cornell Medical College, New York, NY; nDivision of Cardiovascular Medicine, Stanford University, Stanford, CA; oDivision of Medicine, University of Washington, Seattle, WA; pDivision of Health Services, University of Washington, Seattle, WA; qEpidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC; rDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC; and sDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Alicia M Young
Janina M Jeff
Phillip E Melton
Neal W Jorgensen
Yi Lin
Cara L Carty
Ewa Deelman
Susan R Heckbert
Lucia A Hindorff
Rebecca D Jackson
Lisa W Martin
Peter M Okin
Marco V Perez
Bruce M Psaty
Elsayed Z Soliman
Eric A Whitsel
Kari E North
Sandra Laston
Charles Kooperberg
Christy L Avery

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Epidemiology of putative genuine genetic variant: The Women's Health IntiativeU01HG004790 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2008 to 2012
$9.9M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Genetic Epidemiology of Causal Variants Across the Life CourseU01HG004803 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E. · 2008 to 2012
$9.0M
STRONG HEART FAMILY STUDYU01HL065520 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2000 to 2011
$8.9M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCI NIH HHS P30 CA015704NCRR NIH HHS UL1 RR033176NCRR NIH HHS UL1RR033176NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01HG004790NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01HG004798-01NHGRI NIH HHS U01 HG004801NHGRI NIH HHS U01HG004801-01NHGRI NIH HHS U01 HG004802NHGRI NIH HHS U01 HG004803NHGRI NIH HHS U01HG004803NHGRI NIH HHS U01 HG007416NHGRI NIH HHS U01 HG007419NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HL080295NHLBI NIH HHS HL087652NHLBI NIH HHS K99 HL098458NHLBI NIH HHS L30 HL109408NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055022NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55021NHLBI NIH HHS N01-HC-55022NHLBI NIH HHS N01 HC55222NHLBI NIH HHS N01 HV048195NHLBI NIH HHS N01-HV-48195NHLBI NIH HHS N01 WH042118NHLBI NIH HHS R00 HL098458NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL109301NHLBI NIH HHS T32 HL007055NHLBI NIH HHS T32 HL007824NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL41642NHLBI NIH HHS U01 HL41652NHLBI NIH HHS U01 HL41654NHLBI NIH HHS U01 HL65520NHLBI NIH HHS U01 HL65521NIA NIH HHS AG023629NIA NIH HHS R01 AG023629NIA NIH HHS R56 AG023629NICHD NIH HHS P2C HD050924NIDDK NIH HHS DK063491NIDDK NIH HHS P30 DK063491PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221WHI NIH HHS N01 WH022110WHI NIH HHS N01 WH024152WHI NIH HHS N01 WH032100WHI NIH HHS N01 WH032105WHI NIH HHS N01 WH032108WHI NIH HHS N01 WH032111WHI NIH HHS N01 WH032115WHI NIH HHS N01 WH032118WHI NIH HHS N01 WH032119WHI NIH HHS N01 WH032122WHI NIH HHS N01 WH042107WHI NIH HHS N01 WH042108WHI NIH HHS N01 WH042109WHI NIH HHS N01 WH042110WHI NIH HHS N01 WH042111WHI NIH HHS N01 WH042112WHI NIH HHS N01 WH042113WHI NIH HHS N01 WH042114WHI NIH HHS N01 WH042115WHI NIH HHS N01 WH042116WHI NIH HHS N01 WH042117WHI NIH HHS N01 WH042119WHI NIH HHS N01 WH042120WHI NIH HHS N01 WH042121WHI NIH HHS N01 WH042122WHI NIH HHS N01 WH042123WHI NIH HHS N01 WH042124WHI NIH HHS N01 WH042125WHI NIH HHS N01 WH042126WHI NIH HHS N01 WH042129WHI NIH HHS N01 WH042130WHI NIH HHS N01 WH042131WHI NIH HHS N01 WH042132WHI NIH HHS N01 WH044221
6 · The paper itself

Abstract

backgroundQT 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.

methodsHere, 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's Q test.

resultsOf 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.

conclusionsThese 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.

Indexed as

Polymorphism, Single NucleotideAgedElectrocardiographyFemaleGenetic Predisposition to DiseaseHaplotypesHumansLong QT SyndromeMaleMiddle AgedPhenotypeQuantitative Trait, HeritableQuantitative Trait LociRacial GroupsRisk Factors

Identifiers

PMID25166880
PMCPMC4380285

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