Evidence map›Paper›PMID 31891604›Full record

ArticlePloS one2019

A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans.

Sarah A Pendergrass, Steven Buyske, Janina M Jeff, Alex Frase, Scott Dudek, Yuki Bradford, Jose-Luis Ambite, Christy L Avery, Petra Buzkova, Ewa Deelman and 19 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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  3. Genetic variants for Alzheimer's disease and comorbid conditions.Journal of Alzheimer's disease : JAD · 2024
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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

29 authors at 15 institutions in 1 country.

Sarah A PendergrassGenentech, Inc., South San Francisco, California, United States of America.ORCID 0000-0002-0565-6522
Steven BuyskeDepartment of Statistics, Rutgers University, Piscataway, New Jersey, United States of America.ORCID 0000-0001-8539-5416
Janina M JeffIllumina, Inc., San Diego, California, United States of America.
Alex FraseDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Scott DudekDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-2904-3824
Yuki BradfordDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jose-Luis AmbiteInformation Sciences Institute; University of Southern California, Marina del Rey, California, United States of America.ORCID 0000-0003-0087-080X
Christy L AveryDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Petra BuzkovaDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Ewa DeelmanInformation Sciences Institute; University of Southern California, Marina del Rey, California, United States of America.
Megan D FesinmeyerAmgen, Thousand Oaks, California, United States of America.
Christopher HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America.
Gerardo HeissDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-5418-5288
Lucia A HindorffNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Chun-Nan HsuCenter for Research in Biological Systems, Department of Neurosciences, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-5240-4707
Rebecca D JacksonThe Ohio State University, Columbus, Ohio, United States of America.
Yi LinDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Loic Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.
Tara C MatiseDepartment of Genetics, Rutgers University, Piscataway, New Jersey, United States of America.ORCID 0000-0002-7147-492X
Kristine R MonroeDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America.
Larry MorelandUniversity of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Kari E NorthDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Sungshim L ParkDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America.
Alex ReinerDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Robert WallaceDepartments of Epidemiology and Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America.
Lynne R WilkensEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Marylyn D RitchieDepartment of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Dana C CrawfordCleveland Institute for Computational Biology, Cleveland, Ohio, United States of America.ORCID 0000-0002-6437-6248
University of Southern California · USUniversity of Pennsylvania · USUniversity of North Carolina at Chapel Hill · USFred Hutch Cancer Center · USRutgers, The State University of New Jersey · USUniversity of Hawaiʻi at Mānoa · USUniversity of Washington · USAmgen (United States) · USCase Western Reserve University · USIllumina (United States) · USNational Institutes of Health · USThe Ohio State University · USUniversity of California San Diego · USUniversity of Iowa · USUniversity of Pittsburgh · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
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
A Genome-wide Association Study of Prostate Cancer in African AmericansU01CA136792 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2009 to 2011
$9.4M
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
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
Epidemiology of Putative Causal Variants in the Multiethnic CohortU01HG004802 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2008 to 2012
$8.4M
NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002548NCI NIH HHS P01 CA033619NCI NIH HHS P30 CA071789NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA136792NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG004801NHGRI NIH HHS U01 HG004802NHGRI NIH HHS U01 HG004803NHLBI 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 HC055022NIEHS NIH HHS P30 ES010126WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

We performed a hypothesis-generating phenome-wide association study (PheWAS) to identify and characterize cross-phenotype associations, where one SNP is associated with two or more phenotypes, between thousands of genetic variants assayed on the Metabochip and hundreds of phenotypes in 5,897 African Americans as part of the Population Architecture using Genomics and Epidemiology (PAGE) I study. The PAGE I study was a National Human Genome Research Institute-funded collaboration of four study sites accessing diverse epidemiologic studies genotyped on the Metabochip, a custom genotyping chip that has dense coverage of regions in the genome previously associated with cardio-metabolic traits and outcomes in mostly European-descent populations. Here we focus on identifying novel phenome-genome relationships, where SNPs are associated with more than one phenotype. To do this, we performed a PheWAS, testing each SNP on the Metabochip for an association with up to 273 phenotypes in the participating PAGE I study sites. We identified 133 putative pleiotropic variants, defined as SNPs associated at an empirically derived p-value threshold of p<0.01 in two or more PAGE study sites for two or more phenotype classes. We further annotated these PheWAS-identified variants using publicly available functional data and local genetic ancestry. Amongst our novel findings is SPARC rs4958487, associated with increased glucose levels and hypertension. SPARC has been implicated in the pathogenesis of diabetes and is also known to have a potential role in fibrosis, a common consequence of multiple conditions including hypertension. The SPARC example and others highlight the potential that PheWAS approaches have in improving our understanding of complex disease architecture by identifying novel relationships between genetic variants and an array of common human phenotypes.

Indexed as

Genetic PleiotropyMetagenomicsPhenomicsAgedAtherosclerosisBlack or African AmericanEpidemiologic StudiesFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID31891604
PMCPMC6938343
OpenAlexW2998114427

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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.