Evidence map›Paper›PMID 25087611›Full record

ArticleAmerican journal of human genetics2014

Identification and validation of genetic variants that influence transcription factor and cell signaling protein levels.

Ronald J Hause, Amy L Stark, Nirav N Antao, Lidija K Gorsic, Sophie H Chung, Christopher D Brown, Shan S Wong, Daniel F Gill, Jamie L Myers, Lida Anita To and 3 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  11. The Post-GWAS Era: From Association to Function.American journal of human genetics · 2018
    Review
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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

13 authors at 2 institutions in 1 country.

Ronald J HauseInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA.
Amy L StarkDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Nirav N AntaoDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Lidija K GorsicDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Sophie H ChungInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA.
Christopher D BrownDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Shan S WongDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Daniel F GillInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA.
Jamie L MyersDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Lida Anita ToInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA.
Kevin P WhiteInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
M Eileen DolanInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Department of Medicine, University of Chicago, Chicago, IL 60637, USA; Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL 60637, USA. Electronic address: edolan@medicine.bsd.uchicago.edu.
Richard Baker JonesInstitute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA; Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA; Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL 60637, USA. Electronic address: richardbjones@gmail.com.
University of Chicago · USUniversity of Pennsylvania · US

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430
6 · The paper itself

Abstract

Many genetic variants associated with human disease have been found to be associated with alterations in mRNA expression. Although it is commonly assumed that mRNA expression changes will lead to consequent changes in protein levels, methodological challenges have limited our ability to test the degree to which this assumption holds true. Here, we further developed the micro-western array approach and globally examined relationships between human genetic variation and cellular protein levels. We collected more than 250,000 protein level measurements comprising 441 transcription factor and signaling protein isoforms across 68 Yoruba (YRI) HapMap lymphoblastoid cell lines (LCLs) and identified 12 cis and 160 trans protein level QTLs (pQTLs) at a false discovery rate (FDR) of 20%. Whereas up to two thirds of cis mRNA expression QTLs (eQTLs) were also pQTLs, many pQTLs were not associated with mRNA expression. Notably, we replicated and functionally validated a trans pQTL relationship between the KARS lysyl-tRNA synthetase locus and levels of the DIDO1 protein. This study demonstrates proof of concept in applying an antibody-based microarray approach to iteratively measure the levels of human proteins and relate these levels to human genome variation and other genomic data sets. Our results suggest that protein-based mechanisms might functionally buffer genetic alterations that influence mRNA expression levels and that pQTLs might contribute phenotypic diversity to a human population independently of influences on mRNA expression.

Indexed as

AntibodiesBase SequenceCell LineChromosome MappingDNA-Binding ProteinsGene ExpressionGenetic VariationGenome, HumanGenome-Wide Association StudyGenotypeHumansModels, GeneticProtein Array AnalysisProteinsProteomeQuantitative Trait LociAntibodiesDIDO1 protein, humanDNA-Binding ProteinsProteinsProteomeRNA, MessengerRNA, Small InterferingTranscription Factors

Identifiers

PMID25087611
PMCPMC4129400
OpenAlexW2012665161

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.