Evidence map›Paper›PMID 32010185›Full record

ArticleFrontiers in genetics2019

Location of Balanced Chromosome-Translocation Breakpoints by Long-Read Sequencing on the Oxford Nanopore Platform.

Liang Hu, Fan Liang, Dehua Cheng, Zhiyuan Zhang, Guoliang Yu, Jianjun Zha, Yang Wang, Qi Xia, Daoli Yuan, Yueqiu Tan and 3 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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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

30 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

13 authors.

Liang HuInstitute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Fan LiangGrandOmics Biosciences, Beijing, China.
Dehua ChengInstitute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Zhiyuan ZhangGrandOmics Biosciences, Beijing, China.
Guoliang YuGrandOmics Biosciences, Beijing, China.
Jianjun ZhaGrandOmics Biosciences, Beijing, China.
Yang WangGrandOmics Biosciences, Beijing, China.
Qi XiaGrandOmics Biosciences, Beijing, China.
Daoli YuanGrandOmics Biosciences, Beijing, China.
Yueqiu TanInstitute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.
Depeng WangGrandOmics Biosciences, Beijing, China.
Yu LiangGrandOmics Biosciences, Beijing, China.
Ge LinInstitute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic structural variants, including translocations, inversions, insertions, deletions, and duplications, are challenging to be reliably detected by traditional genomic technologies. In particular, balanced translocations and inversions can neither be identified by microarrays since they do not alter chromosome copy numbers, nor by short-read sequencing because of the unmappability of short reads against repetitive genomic regions. The precise localization of breakpoints is vital for exploring genetic causes in patients with balanced translocations or inversions. Long-read sequencing techniques may detect these structural variants in a more direct, efficient, and accurate manner. Here, we performed whole-genome, long-read sequencing using the Oxford Nanopore GridION sequencer to detect breakpoints in six balanced chromosome translocation carriers and one inversion carrier. The results showed that all the breakpoints were consistent with the karyotype results with only ~10× coverage. Polymerase chain reaction (PCR) and Sanger sequencing confirmed 8 out of 14 breakpoints; however, other breakpoint loci were slightly missed since they were either in highly repetitive regions or pericentromeric regions. Some of the breakpoints interrupted normal gene structure, and in other cases, micro-deletions/insertions were found just next to the breakpoints. We also detected haplotypes around the breakpoint regions. Our results suggest that long-read, whole-genome sequencing is an ideal strategy for precisely localizing translocation breakpoints and providing haplotype information, which is essential for medical genetics and preimplantation genetic testing.

Indexed as

balanced translocationlong-read sequencingOxford Nanopore Technologiespreimplantation genetic testingstructural variants

Identifiers

PMID32010185
PMCPMC6972507

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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.