Evidence map›Paper›PMID 31439719›Full record

ArticleJournal of medical genetics2019

Long-read sequencing and haplotype linkage analysis enabled preimplantation genetic testing for patients carrying pathogenic inversions.

Shuo Zhang, Fan Liang, Caixia Lei, Junping Wu, Jing Fu, Qi Yang, Xiao Luo, Guoliang Yu, Depeng Wang, Yueping Zhang and 4 more

Abstract read
In one paragraph

Article in Journal of medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  15. Genetics in prenatal diagnosis.Singapore medical journal · 2023
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  20. Expanded clinical validation of Haploseek for comprehensive preimplantation genetic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    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

14 authors.

Shuo Zhang *Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Fan Liang *GrandOmics Biosciences, Beijing, China.ORCID 0000-0003-1556-1436
Caixia LeiShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Junping WuShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Jing FuShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Qi YangGrandOmics Biosciences, Beijing, China.
Xiao LuoGrandOmics Biosciences, Beijing, China.
Guoliang YuGrandOmics Biosciences, Beijing, China.
Depeng WangGrandOmics Biosciences, Beijing, China.
Yueping ZhangShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Daru LuCollaborative Innovation Center for Genetics and Development, State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.
Xiaoxi SunShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China pghunion@163.com steven3019@hotmail.com 4749813775@qq.com.
Yu LiangGrandOmics Biosciences, Beijing, China pghunion@163.com steven3019@hotmail.com 4749813775@qq.com.
Congjian XuShanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China pghunion@163.com steven3019@hotmail.com 4749813775@qq.com.ORCID 0000-0001-5692-5641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreimplantation genetic testing (PGT) has already been applied in patients known to carry chromosomal structural variants to improve the clinical outcome of assisted reproduction. However, conventional molecular techniques are not capable of reliably distinguishing embryos that carry balanced inversion from those with a normal karyotype. We aim to evaluate the use of long-read sequencing in combination with haplotype linkage analysis to address this challenge.

methodsLong-read sequencing on Oxford Nanopore platform was employed to identify the precise positions of inversion break points in four patients. Comprehensive chromosomal screening and genome-wide haplotype linkage analysis were performed based on SNP microarray. The haplotypes, including the break point regions, the whole chromosomes involved in the inversion and the corresponding homologous chromosomes, were established using informative SNPs.

resultsAll the inversion break points were successfully identified by long-read sequencing and validated by Sanger sequencing, and on average only 13 bp differences were observed between break points inferred by long-read sequencing and Sanger sequencing. Eighteen blastocysts were biopsied and tested, in which 10 were aneuploid or unbalanced and eight were diploid with normal or balanced inversion karyotypes. Diploid embryos were transferred back to patients, the predictive results of the current methodology were consistent with fetal karyotypes of amniotic fluid or cord blood.

conclusionsNanopore long-read sequencing is a powerful method to assay chromosomal inversions and identify exact break points. Identification of inversion break points combined with haplotype linkage analysis is an efficient strategy to distinguish embryos with normal or balanced inversion karyotypes, facilitating PGT applications.

Indexed as

AdultAneuploidyChromosome InversionEmbryo TransferFemaleGenetic LinkageGenetic TestingHaplotypesHumansKaryotypeKaryotypingPolymorphism, Single NucleotidePregnancyPreimplantation Diagnosisgenome-wide haplotype analysislong-read sequencingOxford Nanopore technologypathogenic structural variantspreimplantation genetic testing

Identifiers

PMID31439719
PMCPMC6860410

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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.