Evidence map›Paper›PMID 38523870›Full record

ArticleFrontiers in endocrinology2023

Appropriate whole genome amplification and pathogenic loci detection can improve the accuracy of preimplantation genetic diagnosis for deletional α-thalassemia.

Yueyun Lan, Hong Zhou, Sheng He, Jinhui Shu, Lifang Liang, Hongwei Wei, Jingsi Luo, Caizhu Wang, Xin Zhao, Qingming Qiu and 1 more

Abstract read
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Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

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4 · The record

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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

11 authors.

Yueyun Lan *Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Hong Zhou *Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Sheng HeMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jinhui ShuMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Lifang LiangMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Hongwei WeiMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jingsi LuoMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Caizhu WangMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Xin ZhaoMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Qingming QiuMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Peng HuangMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To improve the accuracy of preimplantation genetic testing (PGT) in deletional α-thalassemia patients. Design: Article. Patients: fifty-two deletional α-thalassemia couples. Interventions: Whole genome amplification (WGA), Next-generation sequencing (NGS) and PCR mutation loci detection. Main outcome measures: WGA, Single nucleotide polymorphism (SNP) and PCR mutation loci detection results; Analysis of embryo chromosome copy number variation (CNV). Results: Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) methods for PGT for deletional α-thalassemia. Blastocyst biopsy samples (n = 253) were obtained from 52 deletional α-thalassemia couples. The results of the comparison of experimental data between groups MALBAC and MDA are as follows: (i) The average allele drop-out (ADO) rate, MALBAC Conclusions: Our findings indicate that MDA is superior to MALBAC for PGT of deletional α-thalassemia. Furthermore, SNP haplotype analysis combined with PCR loci detection can improve the accuracy and detection rate of deletional α-thalassemia.

Indexed as

alpha-ThalassemiaPreimplantation DiagnosisAllelesDNA Copy Number VariationsFemaleGenetic TestingHumansPregnancydeletional α-thalassemianext generation sequencingpreimplantation genetic testingSNP haplotype analysiswhole genome amplification

Identifiers

PMID38523870
PMCPMC10957767

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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.