Evidence map›Paper›PMID 26748518›Full record

ArticleAmerican journal of human genetics2016

Genetic Diversity and Association Studies in US Hispanic/Latino Populations: Applications in the Hispanic Community Health Study/Study of Latinos.

Matthew P Conomos, Cecelia A Laurie, Adrienne M Stilp, Stephanie M Gogarten, Caitlin P McHugh, Sarah C Nelson, Tamar Sofer, Lindsay Fernández-Rhodes, Anne E Justice, Mariaelisa Graff and 27 more

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Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 248 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
248citing papers in PubMed, 9 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

248 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Genome-wide association study of inhaled corticosteroid response in admixed children with asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019
    Trial
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  14. Novel genetic profile linked to cognitive decline in Hispanics/Latinos.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  15. Article
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  20. The role of polygenic risk in Alzheimer's disease prediction for African Americans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Observational

188 more citing papers are in PubMed but not listed here.

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

37 authors.

Matthew P ConomosDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: mconomos@uw.edu.
Cecelia A LaurieDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Adrienne M StilpDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Stephanie M GogartenDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Caitlin P McHughDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Sarah C NelsonDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Tamar SoferDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Lindsay Fernández-RhodesDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Anne E JusticeDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Kristin L YoungDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Amanda A SeyerleDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Christy L AveryDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Kent D TaylorInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Gregory A TalaveraGraduate School of Public Health, San Diego State University, San Diego, CA 92182 USA.
Martha L DaviglusInstitute for Minority Health, University of Illinois at Chicago, Chicago, IL 60612, USA.
Sylvia Wassertheil-SmollerDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Neil SchneidermanDepartment of Psychology and Behavioral Medicine, University of Miami, Miami, FL 33124, USA.
Gerardo HeissDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Nora FranceschiniDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Alex P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA.
John R ShafferDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
R Graham BarrDepartments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Brian L BrowningDepartment of Medicine, University of Washington, Seattle, WA 98077, USA.
Bruce S WeirDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
M Larissa Avilés-SantaDivision of Cardiovascular Sciences, NHLBI, NIH, Bethesda, MD 20892, USA.
George J PapanicolaouDivision of Cardiovascular Sciences, NHLBI, NIH, Bethesda, MD 20892, USA.
Thomas LumleyDepartment of Statistics, University of Auckland, Auckland 1010, New Zealand.
Adam A SzpiroDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Kari E NorthDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA.
Ken RiceDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Timothy A ThorntonDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Cathy C LaurieDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: cclaurie@uw.edu.

Funding

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 PETER J TONTONOZ · 2003 to 2026
$40.4M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Hispanic Community Health Study - NIDCDN01HC65235 · NHLBI · YESHIVA UNIVERSITY · PI KAPLAN, ROBERT · 2007 to 2012
$16.0M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2012 to 2016
$7.3M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
Predoctoral Research Training in Statistical Genetics Administrative SupplementT32GM081062 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2007 to 2021
$2.4M
Leveraging ancestral diversity to map adiposity loci in HispanicsR01DK101855 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAIMAN, CHRISTOPHER ALAN, LOOS, RUTH JF · 2014 to 2016
$2.1M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS N01-HC65233NHLBI NIH HHS N01-HC65234NHLBI NIH HHS N01 HC65235NHLBI NIH HHS N01-HC65236NHLBI NIH HHS N01-HC65237NIDDK NIH HHS 1R01DK101855-01NIDDK NIH HHS DK063491NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK101855
6 · The paper itself

Abstract

US Hispanic/Latino individuals are diverse in genetic ancestry, culture, and environmental exposures. Here, we characterized and controlled for this diversity in genome-wide association studies (GWASs) for the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We simultaneously estimated population-structure principal components (PCs) robust to familial relatedness and pairwise kinship coefficients (KCs) robust to population structure, admixture, and Hardy-Weinberg departures. The PCs revealed substantial genetic differentiation within and among six self-identified background groups (Cuban, Dominican, Puerto Rican, Mexican, and Central and South American). To control for variation among groups, we developed a multi-dimensional clustering method to define a "genetic-analysis group" variable that retains many properties of self-identified background while achieving substantially greater genetic homogeneity within groups and including participants with non-specific self-identification. In GWASs of 22 biomedical traits, we used a linear mixed model (LMM) including pairwise empirical KCs to account for familial relatedness, PCs for ancestry, and genetic-analysis groups for additional group-associated effects. Including the genetic-analysis group as a covariate accounted for significant trait variation in 8 of 22 traits, even after we fit 20 PCs. Additionally, genetic-analysis groups had significant heterogeneity of residual variance for 20 of 22 traits, and modeling this heteroscedasticity within the LMM reduced genomic inflation for 19 traits. Furthermore, fitting an LMM that utilized a genetic-analysis group rather than a self-identified background group achieved higher power to detect previously reported associations. We expect that the methods applied here will be useful in other studies with multiple ethnic groups, admixture, and relatedness.

Indexed as

Genetic VariationGenome-Wide Association StudyHispanic or LatinoHumansUnited States

Identifiers

PMID26748518
PMCPMC4716704

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.