Evidence map›Paper›PMID 30687383›Full record

ReviewFrontiers in genetics2018

Crosstalk of Genetic Variants, Allele-Specific DNA Methylation, and Environmental Factors for Complex Disease Risk.

Huishan Wang, Dan Lou, Zhibin Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
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  11. Genes · 2023
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  13. Impact ofFrontiers in genetics · 2023
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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

3 authors at 2 institutions in 3 countries.

Huishan WangLaboratory of Human Environmental Epigenome, Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Dan LouLaboratory of Human Environmental Epigenome, Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Zhibin WangLaboratory of Human Environmental Epigenome, Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Johns Hopkins University · USHubei University · CN

Funding

Investigating Effect of Air pollution and Host Defenses in SARS-CoV2 infectionU01ES026721 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI BISWAL, SHYAM, RAJAGOPALAN, SANJAY · 2016 to 2020
$3.8M
Exposure-altered gene expression in five candidate imprinted loci for adult diseaseR01ES025761 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI WANG, ZHIBIN · 2016 to 2020
$1.5M
Window of Susceptibility for Epigenetic Programming and Asthma PathogenesisR21ES028351 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI TANG, WAN-YEE, WANG, ZHIBIN · 2017 to 2018
$450k
NIEHS NIH HHS R01 ES025761NIEHS NIH HHS R21 ES028351NIEHS NIH HHS U01 ES026721
6 · The paper itself

Abstract

Over the past decades, genome-wide association studies (GWAS) have identified thousands of phenotype-associated DNA sequence variants for potential explanations of inter-individual phenotypic differences and disease susceptibility. However, it remains a challenge for translating the associations into causative mechanisms for complex diseases, partially due to the involved variants in the noncoding regions and the inconvenience of functional studies in human population samples. So far, accumulating evidence has suggested a complex crosstalk among genetic variants, allele-specific binding of transcription factors (ABTF), and allele-specific DNA methylation patterns (ASM), as well as environmental factors for disease risk. This review aims to summarize the current studies regarding the interactions of the aforementioned factors with a focus on epigenetic insights. We present two scenarios of single nucleotide polymorphisms (SNPs) in coding regions and non-coding regions for disease risk, via potentially impacting epigenetic patterns. While a SNP in a coding region may confer disease risk via altering protein functions, a SNP in non-coding region may cause diseases, via SNP-altering ABTF, ASM, and allele-specific gene expression (ASE). The allelic increases or decreases of gene expression are key for disease risk during development. Such ASE can be achieved via either a "SNP-introduced ABTF to ASM" or a "SNP-introduced ASM to ABTF." Together with our additional in-depth review on insulator CTCF, we are convinced to propose a working model that the small effect of a SNP acts through altered ABTF and/or ASM, for ASE and eventual disease outcome (named as a "SNP intensifier" model). In summary, the significance of complex crosstalk among genetic factors, epigenetic patterns, and environmental factors requires further investigations for disease susceptibility.

Indexed as

allele-specific binding of transcription factors (ABTFs)allele-specific DNA methylation (ASM)allele-specific gene expression (ASE)genetic variantsquantitative trait locus (QTL)regional “autosomal chromosome inactivation (ACI)”single nucleotide polymorphisms (SNPs)SNP intensifier model

Identifiers

PMID30687383
PMCPMC6334214
OpenAlexW2910191383

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.