Evidence map›Paper›PMID 32778093›Full record

ArticleBMC biology2020

Genome-wide pQTL analysis of protein expression regulatory networks in the human liver.

Bing He, Jian Shi, Xinwen Wang, Hui Jiang, Hao-Jie Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Circulating Copper and Liver Cancer.Biological trace element research · 2023
    Pooled it
  2. Integration ofFrontiers in immunology · 2023
    Pooled it
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  7. Precision pathophysiology in steatotic liver disease.Clinical and molecular hepatology · 2026
    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

5 authors at 1 institution in 1 country.

Bing HeDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, 428 Church Street, Room 4565 NUB, Ann Arbor, MI, 48109-1065, USA.
Jian ShiDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, 428 Church Street, Room 4565 NUB, Ann Arbor, MI, 48109-1065, USA.
Xinwen WangDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, 428 Church Street, Room 4565 NUB, Ann Arbor, MI, 48109-1065, USA.
Hui JiangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
Hao-Jie ZhuDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, 428 Church Street, Room 4565 NUB, Ann Arbor, MI, 48109-1065, USA. hjzhu@med.umich.edu.ORCID 0000-0002-2248-4419
University of Michigan · US

Funding

Carboxylesterase 1 Genetic Variation and Methylphenidate in ADHDR01HD093612 · NICHD · UNIVERSITY OF FLORIDA · PI MARKOWITZ, JOHN S, ZHU, HAOJIE · 2018 to 2022
$3.0M
Genetic determinants of ACEI prodrug activationR01HL126969 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, HAOJIE · 2016 to 2020
$1.9M
NHLBI NIH HHS R01 HL126969NICHD NIH HHS R01 HD093612
6 · The paper itself

Abstract

backgroundPrevious expression quantitative trait loci (eQTL) studies have identified thousands of genetic variants to be associated with gene expression at the mRNA level in the human liver. However, protein expression often correlates poorly with mRNA levels. Thus, protein quantitative trait loci (pQTL) study is required to identify genetic variants that regulate protein expression in human livers.

resultsWe conducted a genome-wide pQTL study in 287 normal human liver samples and identified 900 local pQTL variants and 4026 distant pQTL variants. We further discovered 53 genome hotspots of pQTL variants. Transcriptional region mapping analysis showed that 1133 pQTL variants are in transcriptional regulatory regions. Genomic region enrichment analysis of the identified pQTL variants revealed 804 potential regulatory interactions among 595 predicted regulators (e.g., non-coding RNAs) and 394 proteins. Moreover, pQTL variants and trait-variant integration analysis implied several novel mechanisms underlying the relationships between protein expression and liver diseases, such as alcohol dependence. Notably, over 2000 of the identified pQTL variants have not been reported in previous eQTL studies, suggesting extensive involvement of genetic polymorphisms in post-transcriptional regulation of protein expression in human livers.

conclusionsWe have partially established protein expression regulation networks in human livers and generated a wealth of pQTL data that could serve as a valuable resource for the scientific community.

Indexed as

Gene Regulatory NetworksGenome-Wide Association StudyProteomeQuantitative Trait LociGene Expression RegulationHumansLiverProteomeProtein-disease interactionProtein expression regulationProtein quantitative trait lociProteomics

Identifiers

PMID32778093
PMCPMC7418398
OpenAlexW3048578375

What OpenQuestion holds

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LicenceCC BY
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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.