Evidence map›Paper›PMID 29021290›Full record

ArticleGenome research2017

Identifying

Fan Yang, Jiebiao Wang, GTEx Consortium, Brandon L Pierce, Lin S Chen

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Fan YangDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637, USA.
Jiebiao WangDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637, USA.
GTEx Consortium
Brandon L PierceDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637, USA.
Lin S ChenDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois 60637, USA.
Chicago Department of Public Health · US

Funding

The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
Epigenetic Marks of Cocaine AddictionR01DA033684 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C., TURECKI, GUSTAVO · 2011 to 2015
$3.6M
Integrative multivariate association and genomic analysesR01GM108711 · NIGMS · UNIVERSITY OF CHICAGO · PI CHEN, LIN · 2014 to 2022
$3.1M
Epigenomic variation atlas across human tissues and individuals in GTExU01HG007610 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2014 to 2016
$3.0M
Methods for high-resolution analysis of genetic effects on gene expressionR01MH101814 · NIMH · UNIVERSITY OF GENEVA · PI BUSTAMANTE, CARLOS DANIEL, DERMITZAKIS, EMMANOUIL · 2013 to 2016
$2.3M
Comprehensively assessing human somatic variability and its influence on gene expU01HG007591 · NHGRI · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2014 to 2016
$2.3M
Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease BiologyR01MH101820 · NIMH · UNIVERSITY OF CHICAGO · PI COX, NANCY J, NICOLAE, DAN LIVIU · 2013 to 2015
$2.3M
Identification and validation of cell specific eQTLs by Bayesian modelingR01MH101822 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BROWN, CHRISTOPHER DAVID, ENGELHARDT, BARBARA · 2013 to 2016
$1.9M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG007591NHGRI NIH HHS U01 HG007601NHGRI NIH HHS U01 HG007610NHGRI NIH HHS U41 HG002371NHGRI NIH HHS U54 HG007990NHLBI NIH HHS HHSN268201000029CNIDA NIH HHS R01 DA006227NIDA NIH HHS R01 DA033684NIGMS NIH HHS R01 GM108711NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825Wellcome Trust
6 · The paper itself

Abstract

The impact of inherited genetic variation on gene expression in humans is well-established. The majority of known expression quantitative trait loci (eQTLs) impact expression of local genes (

Indexed as

Quantitative Trait LociDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPolymorphism, Single NucleotideSelection, GeneticTissue Distribution

Identifiers

PMID29021290
PMCPMC5668943
OpenAlexW2949244245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.