Evidence map›Paper›PMID 37901453›Full record

ReviewBiology methods & protocols2023

Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression.

Chen Lin, Wei Liu, Wei Jiang, Hongyu Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Biology methods & protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Chen LinDepartment of Biostatistics, Yale University, New Haven, CT 06510, United States.ORCID https://orcid.org/0000-0001-9821-2578
Wei LiuProgram of Computational Biology and Bioinformatics, Yale University, New Haven, CT 06510, United States.
Wei JiangDepartment of Biostatistics, Yale University, New Haven, CT 06510, United States.ORCID https://orcid.org/0000-0001-6120-5278
Hongyu ZhaoDepartment of Biostatistics, Yale University, New Haven, CT 06510, United States.
Yale University · US

Funding

Novel statistical methods and tools to integrate multiple endophenotypes and functional annotation data to study the roles of rare variants in complex human diseases using sequencing dataR01GM134005 · NIGMS · YALE UNIVERSITY · PI WU, BAOLIN, ZHAO, HONGYU · 2020 to 2023
$1.6M
NIGMS NIH HHS R01 GM134005
6 · The paper itself

Abstract

Genetic association signals have been mostly found in noncoding regions through genome-wide association studies (GWAS), suggesting the roles of gene expression regulation in human diseases and traits. However, there has been limited success in colocalizing expression quantitative trait locus (eQTL) with disease-associated variants. Mediated expression score regression (MESC) is a recently proposed method to quantify the proportion of trait heritability mediated by genetically regulated gene expressions (GReX). Applications of MESC to GWAS results have yielded low estimation of mediated heritability for many traits. As MESC relies on stringent independence assumptions between

Indexed as

eQTLgenetically regulated expressionLDSCmediated heritability

Identifiers

PMID37901453
PMCPMC10599978
OpenAlexW4387701149

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.