Evidence map›Paper›PMID 22532805›Full record

ArticlePLoS genetics2012

Patterns of cis regulatory variation in diverse human populations.

Barbara E Stranger, Stephen B Montgomery, Antigone S Dimas, Leopold Parts, Oliver Stegle, Catherine E Ingle, Magda Sekowska, George Davey Smith, David Evans, Maria Gutierrez-Arcelus and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 319 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
319citing papers in PubMed, 9 pooled it
49.0field-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

319 citing papers in PubMed, 9 syntheses or guidelines pooled it, 517 citations in OpenAlex.

  1. Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  18. Virtual Cells Need Context, Not Just Scale.bioRxiv : the preprint server for biology · 2026
    Article
  19. A Functional Variant ofJournal of asthma and allergy · 2026
    Article
  20. Genetic variants ofFrontiers in immunology · 2026
    Article

259 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

18 authors at 6 institutions in 4 countries.

Barbara E StrangerWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
Stephen B Montgomery
Antigone S Dimas
Leopold Parts
Oliver Stegle
Catherine E Ingle
Magda Sekowska
George Davey Smith
David Evans
Maria Gutierrez-Arcelus
Alkes Price
Towfique Raj
James Nisbett
Alexandra C Nica
Claude Beazley
Richard Durbin
Panos Deloukas
Emmanouil T Dermitzakis
Wellcome Sanger Institute · GBUniversity of Geneva · CHBrigham and Women's Hospital · USMax Planck Institute for Developmental Biology · DEUniversity of Bristol · GBMassachusetts Institute of Technology · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

The genetic basis of gene expression variation has long been studied with the aim to understand the landscape of regulatory variants, but also more recently to assist in the interpretation and elucidation of disease signals. To date, many studies have looked in specific tissues and population-based samples, but there has been limited assessment of the degree of inter-population variability in regulatory variation. We analyzed genome-wide gene expression in lymphoblastoid cell lines from a total of 726 individuals from 8 global populations from the HapMap3 project and correlated gene expression levels with HapMap3 SNPs located in cis to the genes. We describe the influence of ancestry on gene expression levels within and between these diverse human populations and uncover a non-negligible impact on global patterns of gene expression. We further dissect the specific functional pathways differentiated between populations. We also identify 5,691 expression quantitative trait loci (eQTLs) after controlling for both non-genetic factors and population admixture and observe that half of the cis-eQTLs are replicated in one or more of the populations. We highlight patterns of eQTL-sharing between populations, which are partially determined by population genetic relatedness, and discover significant sharing of eQTL effects between Asians, European-admixed, and African subpopulations. Specifically, we observe that both the effect size and the direction of effect for eQTLs are highly conserved across populations. We observe an increasing proximity of eQTLs toward the transcription start site as sharing of eQTLs among populations increases, highlighting that variants close to TSS have stronger effects and therefore are more likely to be detected across a wider panel of populations. Together these results offer a unique picture and resource of the degree of differentiation among human populations in functional regulatory variation and provide an estimate for the transferability of complex trait variants across populations.

Indexed as

Gene Expression RegulationTranscription Initiation SiteAsian PeopleBlack PeopleCell LineGenetics, PopulationGenome, HumanHapMap ProjectHumansPolymorphism, Single NucleotideQuantitative Trait LociRegulatory Sequences, Nucleic AcidWhite People

Identifiers

PMID22532805
PMCPMC3330104
OpenAlexW2085459418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.