Evidence map›Paper›PMID 31849019›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

Expression Quantitative Trait Loci Analysis in Multiple Tissues.

Gen Li

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Association ofFrontiers in endocrinology · 2022
    Article
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

1 author.

Gen LiDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA. gl2521@cumc.columbia.edu.

Funding

Tensor Array Methods for RNA-Seq AnalysisR01HG010731 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LI, GEN · 2020 to 2024
$1.4M
NHGRI NIH HHS R01 HG010731
6 · The paper itself

Abstract

Expression quantitative trait loci (eQTL) analysis identifies genetic variants that regulate the expression level of a gene. The genetic regulation may persist or vary in different tissues. When data are available on multiple tissues, it is often desired to borrow information across tissues and conduct an integrative analysis. Here we describe a multi-tissue eQTL analysis procedure, which improves the identification of different types of eQTL and facilitates the assessment of tissue specificity.

Indexed as

Gene ExpressionGene Expression ProfilingQuantitative Trait LociAllelesComputational BiologyGenotypeOrgan SpecificityPolymorphism, Single NucleotideSoftwareWeb BrowserData integrationeQTL analysisHypothesis testingMultiple tissuesTissue specificity

Identifiers

PMID31849019
PMCPMC9766420

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.