Evidence map›Paper›PMID 29044472›Full record

ReviewCurrent protocols in human genetics2017

Population Stratification in Genetic Association Studies.

Jacklyn N Hellwege, Jacob M Keaton, Ayush Giri, Xiaoyi Gao, Digna R Velez Edwards, Todd L Edwards

Abstract readReview
In one paragraph

Review in Current protocols in human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 8 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

123 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  6. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
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  18. The FunctionalInternational journal of molecular sciences · 2026
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63 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

6 authors.

Jacklyn N HellwegeVanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Jacob M KeatonVanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Ayush GiriVanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Xiaoyi GaoDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois.
Digna R Velez EdwardsVanderbilt Genetics Institute, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee.
Todd L EdwardsVanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
NCI NIH HHS T32 CA160056
6 · The paper itself

Abstract

Population stratification (PS) is a primary consideration in studies of genetic determinants of human traits. Failure to control for PS may lead to confounding, causing a study to fail for lack of significant results, or resources to be wasted following false-positive signals. Here, historical and current approaches for addressing PS when performing genetic association studies in human populations are reviewed. Methods for detecting the presence of PS, including global and local ancestry methods, are described. Also described are approaches for accounting for PS when calculating association statistics, such that measures of association are not confounded. Many traits are being examined for the first time in minority populations, which may inherently feature PS. © 2017 by John Wiley & Sons, Inc.

Indexed as

Genetic Association StudiesGenetics, PopulationAllelesChromosome MappingEvolution, MolecularGene FrequencyHumansLinkage DisequilibriumModels, GeneticModels, StatisticalQuantitative Trait, Heritableadmixtureadmixture mappingassociation confoundingglobal ancestrylocal ancestrypopulation stratification

Identifiers

PMID29044472
PMCPMC6007879

What OpenQuestion holds

Textmetadata
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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.