Evidence map›Paper›PMID 25990554›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

The impact of DNA input amount and DNA source on the performance of whole-exome sequencing in cancer epidemiology.

Qianqian Zhu, Qiang Hu, Lori Shepherd, Jianmin Wang, Lei Wei, Carl D Morrison, Jeffrey M Conroy, Sean T Glenn, Warren Davis, Marilyn L Kwan and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sample Collection Methods in Upper Gastrointestinal Research.Journal of Korean medical science · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Measuring coverage and accuracy of whole-exome sequencing in clinical context.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

16 authors.

Qianqian ZhuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York. qianqian.zhu@roswellpark.org song.yao@roswellpark.org.
Qiang HuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Lori ShepherdDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Jianmin WangDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Lei WeiDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Carl D MorrisonCenter for Personalized Medicine, Roswell Park Cancer Institute, Buffalo, New York.
Jeffrey M ConroyCenter for Personalized Medicine, Roswell Park Cancer Institute, Buffalo, New York.
Sean T GlennDepartment of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, New York.
Warren DavisDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Song LiuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York. qianqian.zhu@roswellpark.org song.yao@roswellpark.org.

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA105274
6 · The paper itself

Abstract

backgroundWhole-exome sequencing (WES) has recently emerged as an appealing approach to systematically study coding variants. However, the requirement for a large amount of high-quality DNA poses a barrier that may limit its application in large cancer epidemiologic studies. We evaluated the performance of WES with low input amount and saliva DNA as an alternative source material.

methodsFive breast cancer patients were randomly selected from the Pathways Study. From each patient, four samples, including 3 μg, 1 μg, and 0.2 μg blood DNA and 1 μg saliva DNA, were aliquoted for library preparation using the Agilent SureSelect Kit and sequencing using Illumina HiSeq2500. Quality metrics of sequencing and variant calling, as well as concordance of variant calls from the whole exome and 21 known breast cancer genes, were assessed by input amount and DNA source.

resultsThere was little difference by input amount or DNA source on the quality of sequencing and variant calling. The concordance rate was about 98% for single-nucleotide variant calls and 83% to 86% for short insertion/deletion calls. For the 21 known breast cancer genes, WES based on low input amount and saliva DNA identified the same set variants in samples from a same patient.

conclusionsLow DNA input amount, as well as saliva DNA, can be used to generate WES data of satisfactory quality. IMPACT: Our findings support the expansion of WES applications in cancer epidemiologic studies where only low DNA amount or saliva samples are available.

Indexed as

DNAExomeGenomicsHumansNeoplasmsSequence Analysis, DNADNA

Identifiers

PMID25990554
PMCPMC4526319

What OpenQuestion holds

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Registered trials

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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.