Evidence map›Paper›PMID 41361877›Full record

ArticleJournal of nanobiotechnology2025

Cost-effective and flexible preimplantation genetic testing (PGT) by nanopore adaptive sampling.

Zhiqiang Zhang, Shujing He, Taoli Ding, Xiaoyan Liang, Cong Fang, Haitao Zeng, Linan Xu, Xiaolan Li, Lei Jia, Shihui Zhang and 6 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Zhiqiang Zhang *Reproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0001-7410-5049
Shujing He *Reproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0009-0007-4368-1773
Taoli Ding *Yikon Genomics Company, Ltd, Suzhou, 215000, China.ORCID http://orcid.org/0000-0003-2028-7312
Xiaoyan LiangReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0002-9701-3865
Cong FangReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0001-8835-0694
Haitao ZengReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0003-3571-0195
Linan XuReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0009-0008-2377-3803
Xiaolan LiReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0001-7426-9983
Lei JiaReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0000-0002-4876-7417
Shihui ZhangReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0009-0003-0669-3143
Wenlong SuReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0009-0002-0110-1754
Peng SunReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.ORCID http://orcid.org/0009-0004-4709-3045
Ji YangYikon Genomics Company, Ltd, Suzhou, 215000, China.ORCID http://orcid.org/0009-0000-6853-4381
Jun RenYikon Genomics Company, Ltd, Suzhou, 215000, China.ORCID http://orcid.org/0009-0005-5125-7062
Sijia LuYikon Genomics Company, Ltd, Suzhou, 215000, China. lusijia@yikongenomics.com.ORCID http://orcid.org/0000-0003-2469-1996
Zi RenReproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China. renz6@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-8823-2233

Funding

National Key Research and Development Program of China 2021YFC2700503National Natural Science Foundation of China 82271651
6 · The paper itself

Abstract

Genetic diseases encompass a spectrum of disorders resulting from DNA variations. Preimplantation genetic testing (PGT) is a critical strategy for preventing recurrent miscarriage, fetal malformations, and the birth of children affected by chromosomal abnormalities and monogenic disorders. Traditional PGT techniques necessitate comprehensive pedigree genetic data for haplotype linkage analysis. In contrast, PGT employing third-generation sequencing (TGS) has distinct advantages, particularly in cases of incomplete pedigree information, de novo mutations, and complex pathogenic variants. Nevertheless, the widespread application of TGS-based PGT in clinical practice encounters hurdles owing to its high costs. Targeted sequencing technologies present a promising solution by selectively enriching regions of interest while disregarding non-targeted regions, offering a more cost-effective and flexible alternative. In this proof-of-principle study, we employed low-coverage short-read next-generation sequencing (NGS), microarray analysis and nanopore adaptive sampling to analyze samples from five couples who carried balanced translocations and HBB gene pathogenic mutations, as well as three additional couples with monogenic diseases caused by mutations in PKD1, ASNS, or ALPL. Nanopore adaptive sampling successfully identified various mutations and facilitated haplotype linkage analysis, confirming its accuracy and reliability. Successful embryo transfer and subsequent prenatal diagnosis in certain families underscore the potential of nanopore adaptive sampling in assisted reproduction. Compared with traditional PGT techniques based on low-coverage short-read NGS combined with microarray analysis, our work highlights that nanopore adaptive sampling is a promising tool for PGT, offering cost-effective solutions, especially for incomplete pedigrees and de novo mutations, and provides preliminary proof-of-principle evidence for its broader clinical application.

Indexed as

Genetic TestingNanoporesPreimplantation DiagnosisCost-Benefit AnalysisFemaleHaplotypesHigh-Throughput Nucleotide SequencingHumansMaleMutationPedigreePregnancyChromosomal disordersHaplotype linkage analysisMonogenic diseasesRegions of interest (ROIs)Third-generation sequencing (TGS)

Identifiers

PMID41361877
PMCPMC12798128

What OpenQuestion holds

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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.