Evidence map›Paper›PMID 26092716›Full record

ArticleGenetics2015

Characterizing Race/Ethnicity and Genetic Ancestry for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort.

Yambazi Banda, Mark N Kvale, Thomas J Hoffmann, Stephanie E Hesselson, Dilrini Ranatunga, Hua Tang, Chiara Sabatti, Lisa A Croen, Brad P Dispensa, Mary Henderson and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 27 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing papers in PubMed, 27 pooled it
24.5field-weighted citation impact, top 1% 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

226 citing papers in PubMed, 27 syntheses or guidelines pooled it, 350 citations in OpenAlex.

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  11. Genome-wide meta-analysis of alcohol use disorder in East Asians.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
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166 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

29 authors at 3 institutions in 1 country.

Yambazi BandaInstitute for Human Genetics, University of California, San Francisco, California 94143-0794 banday@humgen.ucsf.edu rischn@humgen.ucsf.edu cathy.schaefer@kp.org.
Mark N KvaleInstitute for Human Genetics, University of California, San Francisco, California 94143-0794.
Thomas J HoffmannInstitute for Human Genetics, University of California, San Francisco, California 94143-0794 Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94158-2549.
Stephanie E HesselsonInstitute for Human Genetics, University of California, San Francisco, California 94143-0794.
Dilrini RanatungaKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Hua TangDepartment of Genetics, Stanford University, Stanford, California 94305-5120.
Chiara SabattiDepartment of Health Research and Policy, Stanford University, Stanford, California 94305-5405.
Lisa A CroenKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Brad P DispensaInstitute for Human Genetics, University of California, San Francisco, California 94143-0794.
Mary HendersonKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Carlos IribarrenKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Eric JorgensonKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Lawrence H KushiKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Dana LudwigKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Diane OlbergKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Charles P QuesenberryKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Sarah RowellKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Marianne SadlerKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Lori C SakodaKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Stanley SciortinoKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Ling ShenKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
David SmethurstKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Carol P SomkinKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Stephen K Van Den EedenKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Lawrence WalterKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Rachel A WhitmerKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304.
Pui-Yan KwokInstitute for Human Genetics, University of California, San Francisco, California 94143-0794.
Catherine SchaeferKaiser Permanente Northern California Division of Research, Oakland, California 94612-2304 banday@humgen.ucsf.edu rischn@humgen.ucsf.edu cathy.schaefer@kp.org.
Neil RischInstitute for Human Genetics, University of California, San Francisco, California 94143-0794 Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94158-2549 Kaiser Permanente Northern California Division of Research, Oakland, California 94612-2304 banday@humgen.ucsf.edu rischn@humgen.ucsf.edu cathy.schaefer@kp.org.
Kaiser Permanente · USUniversity of California, San Francisco · USStanford University · US

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Genetic Architecture of Complex Traits in Admixed PopulationsR01GM073059 · NIGMS · STANFORD UNIVERSITY · PI TANG, HUA · 2005 to 2016
$2.4M
Center for Transdisciplinary ELSI Research in Translational GenomicsP20HG007243 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HARRIS-WAI, JULIE NOEL, KOENIG, BARBARA A. · 2013 to 2016
$958k
Genome-wide Association Study of Alcohol ConsumptionR21AA021223 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI JORGENSON, ERIC, MERTENS, JENNIFER RENE · 2012 to 2013
$455k
NHGRI NIH HHS P20 HG007243NIAAA NIH HHS R21 AA021223NIA NIH HHS RC2 AG036607NIGMS NIH HHS R01 GM073059
6 · The paper itself

Abstract

Using genome-wide genotypes, we characterized the genetic structure of 103,006 participants in the Kaiser Permanente Northern California multi-ethnic Genetic Epidemiology Research on Adult Health and Aging Cohort and analyzed the relationship to self-reported race/ethnicity. Participants endorsed any of 23 race/ethnicity/nationality categories, which were collapsed into seven major race/ethnicity groups. By self-report the cohort is 80.8% white and 19.2% minority; 93.8% endorsed a single race/ethnicity group, while 6.2% endorsed two or more. Principal component (PC) and admixture analyses were generally consistent with prior studies. Approximately 17% of subjects had genetic ancestry from more than one continent, and 12% were genetically admixed, considering only nonadjacent geographical origins. Self-reported whites were spread on a continuum along the first two PCs, indicating extensive mixing among European nationalities. Self-identified East Asian nationalities correlated with genetic clustering, consistent with extensive endogamy. Individuals of mixed East Asian-European genetic ancestry were easily identified; we also observed a modest amount of European genetic ancestry in individuals self-identified as Filipinos. Self-reported African Americans and Latinos showed extensive European and African genetic ancestry, and Native American genetic ancestry for the latter. Among 3741 genetically identified parent-child pairs, 93% were concordant for self-reported race/ethnicity; among 2018 genetically identified full-sib pairs, 96% were concordant; the lower rate for parent-child pairs was largely due to intermarriage. The parent-child pairs revealed a trend toward increasing exogamy over time; the presence in the cohort of individuals endorsing multiple race/ethnicity categories creates interesting challenges and future opportunities for genetic epidemiologic studies.

Indexed as

GenomicsHealthAdultAgingCohort StudiesEthnicityFemaleHumansMaleMiddle AgedMolecular EpidemiologyPedigreePrincipal Component AnalysisRacial Groupsadmixturepopulation structureprincipal componentsrace/ethnicityRPGEH GERA

Identifiers

PMID26092716
PMCPMC4574246
OpenAlexW2106187803

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.