Evidence map›Paper›PMID 26579196›Full record

ArticleFrontiers in genetics2015

Phenotypic variance explained by local ancestry in admixed African Americans.

Daniel Shriner, Amy R Bentley, Ayo P Doumatey, Guanjie Chen, Jie Zhou, Adebowale Adeyemo, Charles N Rotimi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Associations between forensic loci and expression levels of neighboring genes may compromise medical privacy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. The African diaspora: history, adaptation and health.Current opinion in genetics & development · 2016
    Review
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

7 authors at 1 institution in 1 country.

Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Amy R BentleyCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Guanjie ChenCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute Bethesda, MD, USA.
National Human Genome Research Institute · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
UVDM01RR010284 · NCRR · HOWARD UNIVERSITY · PI TAYLOR, ROBERT E. · 1996 to 2010
$17.4M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
Intramural NIH HHS Z01 HG200362NCRR NIH HHS M01 RR010284NHGRI NIH HHS U01 HG004402NIMHD NIH HHS P20 MD006899
6 · The paper itself

Abstract

We surveyed 26 quantitative traits and disease outcomes to understand the proportion of phenotypic variance explained by local ancestry in admixed African Americans. After inferring local ancestry as the number of African-ancestry chromosomes at hundreds of thousands of genotyped loci across all autosomes, we used a linear mixed effects model to estimate the variance explained by local ancestry in two large independent samples of unrelated African Americans. We found that local ancestry at major and polygenic effect genes can explain up to 20 and 8% of phenotypic variance, respectively. These findings provide evidence that most but not all additive genetic variance is explained by genetic markers undifferentiated by ancestry. These results also inform the proportion of health disparities due to genetic risk factors and the magnitude of error in association studies not controlling for local ancestry.

Indexed as

ancestrycomplex traitshealth disparitiesphenotypic variance explainedrandom effects

Identifiers

PMID26579196
PMCPMC4625172
OpenAlexW2176986943

What OpenQuestion holds

Textmetadata
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.