Cited by 237Genetic Associations and EpidemiologyRNA Research and SplicingGenetic Mapping and Diversity in Plants and Animals

The study of eQTL variations by RNA-seq: from SNPs to phenotypes

Majewski, Jacek, Pastinen, Tomi·2011·Trends in Genetics

Abstract

Common DNA variants alter the expression levels and patterns of many human genes. Loci responsible for this genetic control are known as expression quantitative trait loci (eQTLs). The resulting variation of gene expression across individuals has been postulated to be a determinant of phenotypic variation and susceptibility to complex disease. In the past, the application of expression microarray and genetic variation data to study populations enabled the rapid identification of eQTLs in model organisms and humans. Now, a new technology promises to revolutionize the field. Massively parallel RNA sequencing (RNA-seq) provides unprecedented resolution, allowing us to accurately monitor not only the expression output of each genomic locus but also reconstruct and quantify alternatively spliced transcripts. RNA-seq also provides new insights into the regulatory mechanisms underlying eQTLs. Here, we discuss the major advances introduced by RNA-seq and summarize current progress towards understanding the role of eQTLs in determining human phenotypic diversity.

Integrity signals

Registry

Crossref · 10.1016/j.tig.2010.10.006

Cites

91 of 91 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • eQTL analysis shows gene expression and splicing are heavily influenced by common variants, possibly for most transcripts.

    “eQTL analysis shows that gene expression and splicing are heavily influenced by common variants, possibly for the majority of transcripts86–88.”

    From Rare and common variants: twenty arguments (2012) · cites this paper as [87]

Cites

Flagged first, then by citations

2 of the 93 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Majewski, J., & Pastinen, T.
Affiliations
McGill University and Génome Québec Innovation Centre (CA)
Corresponding author
Majewski, Jacek
Venue
Trends in Genetics
Publisher
Elsevier BV
Published
2011-02
Volume
27
Issue
2
Pages
72-79
ISSN
0168-9525 (ISSN-L)
OpenAlex
W2009170877
Cited by
232
References
93
Citations by year
2026: 3 · 2025: 10 · 2024: 6 · 2023: 13 · 2022: 13 · 2021: 11 · 2020: 8 · 2019: 13 · 2018: 9 · 2017: 11 · 2016: 18 · 2015: 23 · 2014: 23 · 2013: 27 · 2012: 29
FWCI
2.39
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Genetics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
expression quantitative trait loci, RNA-seq, gene expression variation, single nucleotide polymorphisms, phenotypic variability, alternative splicing, transcriptome, genetic regulation of gene expression, complex disease susceptibility
MeSH terms
Animals, Gene Expression Regulation, Humans, Phenotype, Transcription, Genetic, Sequence Analysis, RNA, Polymorphism, Single Nucleotide, Quantitative Trait Loci

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review