Evidence map›Paper›PMID 29440707›Full record

ArticleJournal of human genetics2018

Systematic assessment of the performance of whole-genome amplification for SNP/CNV detection and β-thalassemia genotyping.

Fei He, Wanjun Zhou, Ren Cai, Tizhen Yan, Xiangmin Xu

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Article in Journal of human genetics, 2018. 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.

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  13. A Non-invasive Chromosome Screening Strategy for PrioritizingFrontiers in cell and developmental biology · 2021
    Article
  14. Review
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  16. Article
  17. [Rapid preimplantation genetic diagnosis ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018
    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.

Fei HeDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Wanjun ZhouDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Ren CaiDepartment of Birth Health and Heredity, Liuzhou Municipal Maternity and Child Healthcare Hospital, Guangxi, Liuzhou, China.
Tizhen YanDepartment of Birth Health and Heredity, Liuzhou Municipal Maternity and Child Healthcare Hospital, Guangxi, Liuzhou, China.
Xiangmin XuDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. gzxuxm@pub.guangzhou.gd.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we aimed to assess the performance of two whole-genome amplification methods, multiple displacement amplification (MDA), and multiple annealing and looping-based amplification cycle (MALBAC), for β-thalassemia genotyping and single-nucleotide polymorphism (SNP)/copy-number variant (CNV) detection using two DNA sequencing assays. We collected peripheral blood, cell lines, and discarded embryos, and carried out MALBAC and MDA on single-cell and five-cell samples. We detected and statistically analyzed differences in the amplification efficiency, positive predictive value, sensitivity, allele dropout (ADO) rate, SNPs, and CV values between the two methods. Through Sanger sequencing at the single-cell and five-cell levels, we showed that both the amplification rate and ADO rate of MDA were better than those using MALBAC, and the sensitivity and positive predictive value obtained from MDA were higher than those from MALBAC for β-thalassemia genotyping. Using next-generation sequencing (NGS) at the single-cell level, we confirmed that MDA has better properties than MALBAC for SNP detection. However, MALBAC was more stable and homogeneous than MDA using low-depth NGS at the single-cell level for CNV detection. We conclude that MALBAC is the better option for CNV detection, while MDA is better suited for SNV detection.

Indexed as

DNA Copy Number VariationsGenomicsGenotypePolymorphism, Single NucleotideAllelesbeta-Globinsbeta-ThalassemiaCell LineDNA Mutational AnalysisGenome, HumanHigh-Throughput Nucleotide SequencingHumansMutationNucleic Acid Amplification TechniquesReproducibility of ResultsSensitivity and Specificitybeta-Globins

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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.