Evidence map›Paper›PMID 18565787›Full record

ReviewMutation research

Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologies.

Brian N Chorley, Xuting Wang, Michelle R Campbell, Gary S Pittman, Maher A Noureddine, Douglas A Bell

Open access · greenAbstract readReview
In one paragraph

Review in Mutation research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 179 citations in OpenAlex.

  1. Identification of SNPs in theInternational journal of molecular sciences · 2026
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  3. Review
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  11. Review
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  13. Sequence and haplotypes of ankyrin 1 gene (ANK1) and their association with carcass and meat quality traits in yak.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Article
  14. Archives animal breeding · 2021
    Article
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  18. Comprehensive Analysis of the Chitinase Gene Family in Cucumber (International journal of molecular sciences · 2019
    Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Brian N ChorleyEnvironmental Genomics Section, Laboratory of Molecular Genetics, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC 27709, United States.
Xuting Wang
Michelle R Campbell
Gary S Pittman
Maher A Noureddine
Douglas A Bell
National Institute of Environmental Health Sciences · US

Funding

Discovery And Functional Genomics Of Environmental Response GenesZIAES100475 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BELL, DOUGLAS · 2009 to 2025
$24.4M
Discovery And Genetics Of Environmental Response GenesZ01ES100475 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BELL, DOUGLAS · 2002 to 2008
$2.9M
Intramural NIH HHS Z01 ES100475
6 · The paper itself

Abstract

The most common form of genetic variation, single nucleotide polymorphisms or SNPs, can affect the way an individual responds to the environment and modify disease risk. Although most of the millions of SNPs have little or no effect on gene regulation and protein activity, there are many circumstances where base changes can have deleterious effects. Non-synonymous SNPs that result in amino acid changes in proteins have been studied because of their obvious impact on protein activity. It is well known that SNPs within regulatory regions of the genome can result in disregulation of gene transcription. However, the impact of SNPs located in putative regulatory regions, or rSNPs, is harder to predict for two primary reasons. First, the mechanistic roles of non-coding genomic sequence remain poorly defined. Second, experimental validation of the functional consequences of rSNPs is often slow and laborious. In this review, we summarize traditional and novel methodologies for candidate rSNPs selection, in particular in silico techniques that aid in candidate rSNP selection. Additionally we will discuss molecular biological techniques that assess the impact of rSNPs on binding of regulatory machinery, as well as functional consequences on transcription. Standard techniques such as EMSA and luciferase reporter constructs are still widely used to assess effects of rSNPs on binding and gene transcription; however, these protocols are often bottlenecks in the discovery process. Therefore, we highlight novel and developing high-throughput protocols that promise to aid in shortening the process of rSNP validation. Given the large amount of genomic information generated from a multitude of re-sequencing and genome-wide SNP array efforts, future focus should be to develop validation techniques that will allow greater understanding of the impact these polymorphisms have on human health and disease.

Indexed as

Polymorphism, Single NucleotideRegulatory Sequences, Nucleic AcidComputational BiologyGene Expression RegulationGenomic InstabilityGenotypeHumansPhenotypeToxicogenetics

Identifiers

PMID18565787
PMCPMC2676583
OpenAlexW2014783044

What OpenQuestion holds

Textmetadata
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.