Evidence map›Paper›PMID 21375750›Full record

ArticleBMC genetics2011

Comparing self-reported ethnicity to genetic background measures in the context of the Multi-Ethnic Study of Atherosclerosis (MESA).

Jasmin Divers, David T Redden, Kenneth M Rice, Laura K Vaughan, Miguel A Padilla, David B Allison, David A Bluemke, Hunter J Young, Donna K Arnett

Abstract read
In one paragraph

Article in BMC genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Trial
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  7. Article
  8. Race, Ancestry, and Vitamin D Metabolism: The Multi-Ethnic Study of Atherosclerosis.The Journal of clinical endocrinology and metabolism · 2020
    Article
  9. Review
  10. Review
  11. Article
  12. Observational
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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

9 authors.

Jasmin DiversDepartment of Biostatistical Sciences, Wake Forest University School of Medicine Winston-Salem, North Carolina 27157, USA. jdivers@wfubmc.edu
David T Redden
Kenneth M Rice
Laura K Vaughan
Miguel A Padilla
David B Allison
David A Bluemke
Hunter J Young
Donna K Arnett

Funding

Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
Genetic Analysis of African American Hypertensive End-Stage Renal DiseaseR01DK070941 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2006 to 2015
$4.7M
Admixture Mapping for Insulin Complex OutcomesR01DK067426 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FERNANDEZ, JOSE R · 2004 to 2009
$1.6M
Genome-wide Structured Association Testing & Regional Admixture MappingR01GM077490 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LIU, NIANJUN · 2007 to 2010
$1.1M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
Molecular Biomedical Imaging Laboratory (CC)ZIACL090019 · CLC · CLINICAL CENTER · PI JONES, ELIZABETH C. · 2010 to 2017
$0k
NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95169NIDDK NIH HHS 3R01DK067426 03S1NIDDK NIH HHS R01DK070941NIGMS NIH HHS 1R01GM077490
6 · The paper itself

Abstract

backgroundQuestions remain regarding the utility of self-reported ethnicity (SRE) in genetic and epidemiologic research. It is not clear whether conditioning on SRE provides adequate protection from inflated type I error rates due to population stratification and admixture. We address this question using data obtained from the Multi-Ethnic Study of Atherosclerosis (MESA), which enrolled individuals from 4 self-reported ethnic groups. We compare the agreement between SRE and genetic based measures of ancestry (GBMA), and conduct simulation studies based on observed MESA data to evaluate the performance of each measure under various conditions.

resultsFour clusters are identified using 96 ancestry informative markers. Three of these clusters are well delineated, but 30% of the self-reported Hispanic-Americans are misclassified. We also found that MESA SRE provides type I error rates that are consistent with the nominal levels. More extensive simulations revealed that this finding is likely due to the multi-ethnic nature of the MESA. Finally, we describe situations where SRE may perform as well as a GBMA in controlling the effect of population stratification and admixture in association tests.

conclusionsThe performance of SRE as a control variable in genetic association tests is more nuanced than previously thought, and may have more value than it is currently credited with, especially when smaller replication studies are being considered in multi-ethnic samples.

Indexed as

AtherosclerosisComputer SimulationEthnicityGenetic Association StudiesHispanic or LatinoHumansHypertrophy, Left VentricularRacial GroupsSelf Report

Identifiers

PMID21375750
PMCPMC3068121

What OpenQuestion holds

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LicenceCC BY
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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.