Evidence map›Paper›PMID 25151137›Full record

ArticleFamilial cancer2015

Detection of inherited mutations for hereditary cancer using target enrichment and next generation sequencing.

Yanfang Guan, Hong Hu, Yin Peng, Yuhua Gong, Yuting Yi, Libin Shao, Tengfei Liu, Gairui Li, Rongjiao Wang, Pingping Dai and 10 more

Abstract read
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In one paragraph

Article in Familial cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Summary ofGenes · 2020
    Pooled it
  2. A Novel GermlineHuman mutation · 2025
    Article
  3. Article
  4. The breast journal · 2024
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  9. Genomic Profiling Comparison of GermlineFrontiers in oncology · 2020
    Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. 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

20 authors.

Yanfang GuanBinhai Genomics Institute, BGI-Tianjin, Tianjin, China.
Hong Hu
Yin Peng
Yuhua Gong
Yuting Yi
Libin Shao
Tengfei Liu
Gairui Li
Rongjiao Wang
Pingping Dai
Yves-Jean Bignon
Zhe Xiao
Ling Yang
Feng Mu
Liang Xiao
Zeming Xie
Wenhui Yan
Nan Xu
Dongxian Zhou
Xin Yi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary cancers occur because of inherited gene mutations. Genetic testing has been approved to provide information for risk assessment and rationale for appropriate intervention. Testing methods currently available for clinical use have some limitations, including sensitivity and testing throughput, etc. Next generation sequencing (NGS) has been rapidly evolving to increase testing sensitivity and throughput. It can be potentially used to identify inherited mutation in clinical diagnostic setting. Here we develop an effective method employing target enrichment and NGS platform to detect common as well as rare mutations for all common hereditary cancers in a single assay. Single base substitution across 115 hereditary cancer related genes using YH (the first Asian genome) was characterized to validate our method. Sensitivity, specificity and accuracy of 93.66, 99.98 and 99.97 %, were achieved, respectively. In addition, we correctly identified 53 SNVs and indels of BRCA1 and BRCA2 in two breast cancer specimens, all confirmed by Sanger sequencing. Accuracy in detecting copy number variation (CNV) was corroborated in 4 breast cancer specimens with known CNVs in BRAC1. Application of the method to 85 clinical cases revealed 22 deleterious mutations, 11 of which were novel. In summary, our studies demonstrate that the target enrichment combined with NGS method provides the accuracy, sensitivity, and high throughput for genetic testing for patients with high risk of hereditary or familial cancer.

Indexed as

DNA Mutational AnalysisGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansNeoplasmsSensitivity and Specificity

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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.