Evidence map›Paper›PMID 39256293›Full record

ArticleJournal of assisted reproduction and genetics2024

Technically feasible solutions to challenges in preimplantation genetic testing for thalassemia: experiences of multiple centers between 2019 and 2022.

Zi Ren, Peng Huang, Yong Wang, Yaxin Yao, Jun Ren, Linan Xu, Jinhui Shu, Liang Zhou, Dunmei Zhao, Xiaolan Li and 7 more

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

17 authors.

Zi Ren *Reproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China.
Peng Huang *Genetic Metabolism Center Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Yong Wang *Department of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, 518000, China.
Yaxin YaoYikon Genomics Co., Ltd, Suzhou, 215000, China.
Jun RenYikon Genomics Co., Ltd, Suzhou, 215000, China.
Linan XuReproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China.
Jinhui ShuMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Liang ZhouDepartment of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, 518000, China.
Dunmei ZhaoYikon Genomics Co., Ltd, Suzhou, 215000, China.
Xiaolan LiReproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China.
Zhiqiang ZhangReproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China.
Chunhui ZhangDepartment of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, 518000, China.
Bolan SunDepartment of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, 518000, China.
Sijia LuYikon Genomics Co., Ltd, Suzhou, 215000, China. lusijia@yikongenomics.com.
Weiping QianDepartment of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, 518000, China. qianweipingsz@126.com.
Hong ZhouMaternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China. zhouhh2009@126.com.
Cong FangReproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China. fangcong@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-8835-0694

Funding

Guangxi Key Laboratory of reproductive health and birth defect prevention 21-220-22National Key R&D Program of China 2022YFC2703200National Natural Science Foundation of China 82160028Shenzhen Municipal Science and Technology Innovation Committee (Multi-party Collaboration Project) Key Project for Basic Research JCYJ20200109140623124
6 · The paper itself

Abstract

purposeIn clinical practice, the success of preimplantation genetic testing for monogenic diseases (PGT-M) for thalassemia was hindered by the absence of probands, incomplete family members, or failure in detecting embryonic gene mutation sites. This study aimed to address these issues.

methodsThis retrospective study included 342 couples undergoing PGT-M for α- or β-thalassemia at three reproductive medicine centers from 2019 to 2022. Various methods were used to construct parental haplotypes. A total of 1778 embryos were analyzed and selected for transfer based on chromosomal ploidy and PGT-M results. Follow-up involved amniocentesis results and clinical outcomes.

resultsHaplotypes were established using DNA samples from probands or parents, as well as sibling blood samples, single sperm, and affected embryos, achieving an overall success rate was 99.4% (340/342). For α-thalassemia and β-thalassemia, the concordance between embryo single nucleotide polymorphism (SNP) haplotype analysis results and mutation loci detection results was 93.8% (1011/1078) and 98.2% (538/548), respectively. Multiple annealing and looping-based amplification cycles (MALBAC) showed a higher whole genome amplification success rate than multiple displacement amplification (MDA) (98.8% (1031/1044) vs. 96.2% (703/731), p < 0.001). Amniocentesis confirmed PGT-M outcomes in 100% of cases followed up (99/99).

conclusionThis study summarizes feasible solutions to various challenging scenarios encountered in PGT-M for thalassemia, providing valuable insights to enhance success rate of PGT-M in clinical practice.

Indexed as

beta-ThalassemiaGenetic TestingHaplotypesPreimplantation DiagnosisAdultalpha-ThalassemiaEmbryo TransferFemaleFertilization in VitroHumansMaleMutationPolymorphism, Single NucleotidePregnancyPregnancy RateRetrospective StudiesHaplotypePreimplantation genetic testing for monogenic diseasesSingle nucleotide polymorphisms linkage analysisα-Thalassemiaβ-Thalassemia

Identifiers

PMID39256293
PMCPMC11621276

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LicenceCC BY-NC-ND
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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.