Evidence map›Paper›PMID 23837845›Full record

ArticleBMC genomics2013

Variant discovery in targeted resequencing using whole genome amplified DNA.

Amit R Indap, Regina Cole, Christina L Runge, Gabor T Marth, Michael Olivier

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Amit R IndapDepartment of Biology, Boston College, Chestnut Hill, MA, USA. indapa@gmail.com
Regina Cole
Christina L Runge
Gabor T Marth
Michael Olivier
Boston College · USMedical College of Wisconsin · USTexas Biomedical Research Institute · US

Funding

Wisconsin Center of Excellence in Genomics ScienceP50HG004952 · NHGRI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI OLIVIER, MICHAEL · 2009 to 2013
$13.0M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Genomic dissection of a QTL affecting the lipid profileR01HL074168 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI OLIVIER, MICHAEL · 2003 to 2007
$2.5M
Software Tools for Next-Generation Sequencer DataR01HG004719 · NHGRI · BOSTON COLLEGE · PI MARTH, GABOR T · 2008 to 2011
$2.5M
Genotype-Phenotype Relationships in Auditory NeuropathyK23DC008837 · NIDCD · MEDICAL COLLEGE OF WISCONSIN · PI RUNGE, CHRISTINA L · 2007 to 2011
$893k
NHGRI NIH HHS P50HG004952NHGRI NIH HHS R01HG004719NHGRI NIH HHS U01 HG006513NHLBI NIH HHS R01HL74168NIDCD NIH HHS K23DC008837
6 · The paper itself

Abstract

backgroundNext generation sequencing and advances in genomic enrichment technologies have enabled the discovery of the full spectrum of variants from common to rare alleles in the human population. The application of such technologies can be limited by the amount of DNA available. Whole genome amplification (WGA) can overcome such limitations. Here we investigate applicability of using WGA by comparing SNP and INDEL variant calls from a single genomic/WGA sample pair from two capture separate experiments: a 50 Mbp whole exome capture and a custom capture array of 4 Mbp region on chr12.

resultsOur results comparing variant calls derived from genomic and WGA DNA show that the majority of variant SNP and INDEL calls are common to both callsets, both at the site and genotype level and suggest that allele bias plays a minimal role when using WGA DNA in re-sequencing studies.

conclusionsAlthough the results of this study are based on a limited sample size, they suggest that using WGA DNA allows the discovery of the vast majority of variants, and achieves high concordance metrics, when comparing to genomic DNA calls.

Indexed as

Nucleic Acid Amplification TechniquesAllelesComputer GraphicsDNAGenetic VariationGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNA

Identifiers

PMID23837845
PMCPMC3716764
OpenAlexW2126480703

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.