Evidence map›Paper›PMID 21811411›Full record

ArticlePLoS genetics2011

Rare and common regulatory variation in population-scale sequenced human genomes.

Stephen B Montgomery, Tuuli Lappalainen, Maria Gutierrez-Arcelus, Emmanouil T Dermitzakis

Abstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Toward transcriptomics as a primary tool for rare disease investigation.Cold Spring Harbor molecular case studies · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Local ancestry transitions modify snp-trait associations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
    Article
  20. Human gene essentiality.Nature reviews. Genetics · 2018
    Review

10 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

4 authors.

Stephen B MontgomeryDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland. stephen.montgomery@unige.ch
Tuuli Lappalainen
Maria Gutierrez-Arcelus
Emmanouil T Dermitzakis

Funding

Methods for high-resolution analysis of genetic effects on gene expressionR01MH090941 · NIMH · UNIVERSITY OF GENEVA · PI DERMITZAKIS, EMMANOUIL, GUIGO, RODERIC · 2010 to 2012
$863k
NIMH NIH HHS R01 MH090941NIMH NIH HHS R01MH090941
6 · The paper itself

Abstract

Population-scale genome sequencing allows the characterization of functional effects of a broad spectrum of genetic variants underlying human phenotypic variation. Here, we investigate the influence of rare and common genetic variants on gene expression patterns, using variants identified from sequencing data from the 1000 genomes project in an African and European population sample and gene expression data from lymphoblastoid cell lines. We detect comparable numbers of expression quantitative trait loci (eQTLs) when compared to genotypes obtained from HapMap 3, but as many as 80% of the top expression quantitative trait variants (eQTVs) discovered from 1000 genomes data are novel. The properties of the newly discovered variants suggest that mapping common causal regulatory variants is challenging even with full resequencing data; however, we observe significant enrichment of regulatory effects in splice-site and nonsense variants. Using RNA sequencing data, we show that 46.2% of nonsynonymous variants are differentially expressed in at least one individual in our sample, creating widespread potential for interactions between functional protein-coding and regulatory variants. We also use allele-specific expression to identify putative rare causal regulatory variants. Furthermore, we demonstrate that outlier expression values can be due to rare variant effects, and we approximate the number of such effects harboured in an individual by effect size. Our results demonstrate that integration of genomic and RNA sequencing analyses allows for the joint assessment of genome sequence and genome function.

Indexed as

Genetic VariationPolymorphism, Single NucleotideAlternative SplicingBlack PeopleGene Expression ProfilingGenetics, PopulationGenome, HumanHaplotypesHapMap ProjectHigh-Throughput Nucleotide SequencingHumansQuantitative Trait LociRegulatory Sequences, Nucleic AcidWhite People

Identifiers

PMID21811411
PMCPMC3141000

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.