Evidence map›Paper›PMID 31694669›Full record

ArticleGenome biology2019

DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits.

Lin Jiang, Chao Xue, Sheng Dai, Shangzhen Chen, Peikai Chen, Pak Chung Sham, Haijun Wang, Miaoxin Li

Open access · goldAbstract readValidation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Lin JiangZhongshan School of Medicine, Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Chao XueZhongshan School of Medicine, Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Sheng DaiZhongshan School of Medicine, Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Shangzhen ChenZhongshan School of Medicine, Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Peikai ChenDepartment of Psychiatry, The Centre for Genomic Sciences, State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
Pak Chung ShamDepartment of Psychiatry, The Centre for Genomic Sciences, State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
Haijun WangDepartment of Pituitary Tumour Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China. wanghaij@mail.sysu.edu.cn.
Miaoxin LiZhongshan School of Medicine, Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China. limiaoxin@mail.sysu.edu.cn.
Sun Yat-sen University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The driver tissues or cell types in which susceptibility genes initiate diseases remain elusive. We develop a unified framework to detect the causal tissues of complex diseases or traits according to selective expression of disease-associated genes in genome-wide association studies (GWASs). This framework consists of three components which run iteratively to produce a converged prioritization list of driver tissues. Additionally, this framework also outputs a list of prioritized genes as a byproduct. We apply the framework to six representative complex diseases or traits with GWAS summary statistics, which leads to the estimation of the lung as an associated tissue of rheumatoid arthritis.

Indexed as

Gene ExpressionGenetic Predisposition to DiseaseAlgorithmsArthritis, RheumatoidBipolar DisorderBody HeightBrainCholesterolCoronary Artery DiseaseDiseaseGenome-Wide Association StudyGenomicsHumansSchizophreniaCholesterolDisease driver-tissuesGene-based associationGenome-wide association studySusceptibility genesTissue-selective expression

Identifiers

PMID31694669
PMCPMC6836538
OpenAlexW2988268414

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.