Evidence map›Paper›PMID 27464681›Full record

ArticleScientific reports2016

Exome-based Variant Detection in Core Promoters.

Yeong C Kim, Jian Cui, Jiangtao Luo, Fengxia Xiao, Bradley Downs, San Ming Wang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

6 authors.

Yeong C KimDepartment of Genetics, Cell Biology and Anatomy, College of Medicine, Omaha, NE 68198, USA.
Jian CuiDepartment of Genetics, Cell Biology and Anatomy, College of Medicine, Omaha, NE 68198, USA.
Jiangtao LuoDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Fengxia XiaoDepartment of Genetics, Cell Biology and Anatomy, College of Medicine, Omaha, NE 68198, USA.
Bradley DownsDepartment of Genetics, Cell Biology and Anatomy, College of Medicine, Omaha, NE 68198, USA.
San Ming WangDepartment of Genetics, Cell Biology and Anatomy, College of Medicine, Omaha, NE 68198, USA.

Funding

(PQD3) Genetic Basis of Breast Cancer Resistance in BRCA1+ CarrierR21CA180008 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WANG, SAN MING · 2013 to 2014
$364k
NCI NIH HHS R21 CA180008
6 · The paper itself

Abstract

Core promoter controls the initiation of transcription. Core promoter sequence change can disrupt transcriptional regulation, lead to impairment of gene expression and ultimately diseases. Therefore, comprehensive characterization of core promoters is essential to understand normal and abnormal gene expression in biomedical studies. Here we report the development of EVDC (Exome-based Variant Detection in Core promoters) method for genome-scale analysis of core-promoter sequence variation. This method is based on the fact that exome sequences contain the sequences not only from coding exons but also from non-coding region including core promoters generated by random fragmentation in exome sequencing process. Using exome data from three cell types of CD4+ T cells, CD19+ B cells and neutrophils of a single individual, we characterized the features of core promoter-mapped exome sequences, and analysed core-promoter variation in this individual genome. We also compared the core promoters between YRI (Yoruba in Ibadan, Nigeria) and the CEU (Utah residents of European decedent) populations using the exome data generated by the 1000 Genome project, and observed much higher variation in YRI population than in CEU population. Our study demonstrates that the EVDC method provides a simple but powerful means for genome-wile de novo characterization of core promoter sequence variation.

Indexed as

ExomeGenetic VariationPromoter Regions, GeneticB-LymphocytesCD4-Positive T-LymphocytesComputational BiologyHumansMolecular BiologyNeutrophilsNigeriaSequence Analysis, DNAUtah

Identifiers

PMID27464681
PMCPMC4964598

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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.