Evidence map›Paper›PMID 21789213›Full record

ArticlePloS one2011

The use of genome-wide eQTL associations in lymphoblastoid cell lines to identify novel genetic pathways involved in complex traits.

Josine L Min, Jennifer M Taylor, J Brent Richards, Tim Watts, Fredrik H Pettersson, John Broxholme, Kourosh R Ahmadi, Gabriela L Surdulescu, Ernesto Lowy, Christian Gieger and 10 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
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  9. Genetics of allergic diseases.Immunology and allergy clinics of North America · 2015
    Review
  10. Article
  11. Article
  12. A genetic model of differential susceptibility to human respiratory syncytial virus (RSV) infection.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2014
    Article
  13. Review
  14. Article
  15. Article
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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

20 authors at 9 institutions in 5 countries.

Josine L MinGenetic and Genomic Epidemiology Unit, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. josine.min@well.ox.ac.uk
Jennifer M Taylor
J Brent Richards
Tim Watts
Fredrik H Pettersson
John Broxholme
Kourosh R Ahmadi
Gabriela L Surdulescu
Ernesto Lowy
Christian Gieger
Chris Newton-Cheh
Markus Perola
Nicole Soranzo
Ida Surakka
Cecilia M Lindgren
Jiannis Ragoussis
Andrew P Morris
Lon R Cardon
Tim D Spector
Krina T Zondervan
University of Oxford · GBCentre for Human Genetics · GBKing's College London · GBSt Thomas' Hospital · GBUniversity of Helsinki · FIBroad Institute · USGlaxoSmithKline (United States) · USHelmholtz Zentrum München · DEMcGill University · CA

Funding

Wellcome Trust 064890Wellcome Trust 081682Wellcome Trust 085235Wellcome Trust 090532
6 · The paper itself

Abstract

The integrated analysis of genotypic and expression data for association with complex traits could identify novel genetic pathways involved in complex traits. We profiled 19,573 expression probes in Epstein-Barr virus-transformed lymphoblastoid cell lines (LCLs) from 299 twins and correlated these with 44 quantitative traits (QTs). For 939 expressed probes correlating with more than one QT, we investigated the presence of eQTL associations in three datasets of 57 CEU HapMap founders and 86 unrelated twins. Genome-wide association analysis of these probes with 2.2 m SNPs revealed 131 potential eQTLs (1,989 eQTL SNPs) overlapping between the HapMap datasets, five of which were in cis (58 eQTL SNPs). We then tested 535 SNPs tagging the eQTL SNPs, for association with the relevant QT in 2,905 twins. We identified nine potential SNP-QT associations (P<0.01) but none significantly replicated in five large consortia of 1,097-16,129 subjects. We also failed to replicate previous reported eQTL associations with body mass index, plasma low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides levels derived from lymphocytes, adipose and liver tissue. Our results and additional power calculations suggest that proponents may have been overoptimistic in the power of LCLs in eQTL approaches to elucidate regulatory genetic effects on complex traits using the small datasets generated to date. Nevertheless, larger tissue-specific expression data sets relevant to specific traits are becoming available, and should enable the adoption of similar integrated analyses in the near future.

Indexed as

Genome-Wide Association StudyQuantitative Trait, HeritableAdultAgedAged, 80 and overCell LineCohort StudiesDatabases, GeneticFemaleGene Expression RegulationGene Regulatory NetworksGenome, HumanHaplotypesHumansInheritance PatternsLymphocytes

Identifiers

PMID21789213
PMCPMC3137612
OpenAlexW1971104826

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.