Evidence map›Paper›PMID 29510662›Full record

ArticleBMC genomics2018

Successful use of whole genome amplified DNA from multiple source types for high-density Illumina SNP microarrays.

Casey L Dagnall, Lindsay M Morton, Belynda D Hicks, Shengchao Li, Weiyin Zhou, Eric Karlins, Kedest Teshome, Salma Chowdhury, Kerrie S Lashley, Joshua N Sampson and 8 more

Abstract read
In one paragraph

Article in BMC genomics, 2018. 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

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

4 citing papers in PubMed.

  1. 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

18 authors.

Casey L DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA. dagnallc@mail.nih.gov.
Lindsay M MortonDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Belynda D HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Shengchao LiDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Weiyin ZhouDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Eric KarlinsDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Kedest TeshomeDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Salma ChowdhuryDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Kerrie S LashleyDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Leslie L RobisonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.
Gregory T ArmstrongDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.
Smita BhatiaDepartment of Population Sciences, City of Hope, Duarte, CA, USA.
Gretchen A RadloffDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Stella M DaviesDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Margaret A TuckerDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Meredith YeagerDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, USA.

Funding

Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
NCI NIH HHS HHSN261200800001ENCI NIH HHS U24 CA055727
6 · The paper itself

Abstract

backgroundThe recommended genomic DNA input requirements for whole genome single nucleotide polymorphism microarrays can limit the scope of molecular epidemiological studies. We performed a large-scale evaluation of whole genome amplified DNA as input into high-density, whole-genome Illumina® Infinium® SNP microarray.

resultsOverall, 6622 DNA samples from 5970 individuals were obtained from three distinct biospecimen sources and genotyped using gDNA and/or wgaDNA inputs. When genotypes from the same individual were compared with standard, native gDNA input amount, we observed 99.94% mean concordance with wgaDNA input.

conclusionsOur results demonstrate that carefully conducted studies with wgaDNA inputs can yield high-quality genotyping results. These findings should enable investigators to consider expansion of ongoing studies using high-density SNP microarrays, currently challenged by small amounts of available DNA.

Indexed as

Genome, HumanPolymorphism, Single NucleotideDNAGenomicsGenotypeHumansMouth MucosaNeoplasmsNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisSalivaDNACCSS clinical trialGenome-wide association studyHigh-density microarrayWhole genome amplification

Identifiers

PMID29510662
PMCPMC5838969

What OpenQuestion holds

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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.