Evidence map›Paper›PMID 38977679›Full record

ArticleCell discovery2024

Simultaneous de novo calling and phasing of genetic variants at chromosome-scale using NanoStrand-seq.

Xiuzhen Bai, Zonggui Chen, Kexuan Chen, Zixin Wu, Rui Wang, Jun'e Liu, Liang Chang, Lu Wen, Fuchou Tang

Abstract read
In one paragraph

Article in Cell discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

9 authors.

Xiuzhen Bai *Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Zonggui Chen *Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Kexuan Chen *Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Zixin Wu *Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.ORCID http://orcid.org/0009-0007-7792-4921
Rui WangDepartment of Medicine, Cancer Institute, Stanford University, Stanford, CA, USA.
Jun'e LiuBiomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
Liang ChangState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Lu WenBiomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1773-1876
Fuchou TangBiomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China. tangfuchou@pku.edu.cn.ORCID http://orcid.org/0000-0002-8625-7717

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32288102
6 · The paper itself

Abstract

The successful accomplishment of the first telomere-to-telomere human genome assembly, T2T-CHM13, marked a milestone in achieving completeness of the human reference genome. The upcoming era of genome study will focus on fully phased diploid genome assembly, with an emphasis on genetic differences between individual haplotypes. Most existing sequencing approaches only achieved localized haplotype phasing and relied on additional pedigree information for further whole-chromosome scale phasing. The short-read-based Strand-seq method is able to directly phase single nucleotide polymorphisms (SNPs) at whole-chromosome scale but falls short when it comes to phasing structural variations (SVs). To shed light on this issue, we developed a Nanopore sequencing platform-based Strand-seq approach, which we named NanoStrand-seq. This method allowed for de novo SNP calling with high precision (99.52%) and acheived a superior phasing accuracy (0.02% Hamming error rate) at whole-chromosome scale, a level of performance comparable to Strand-seq for haplotype phasing of the GM12878 genome. Importantly, we demonstrated that NanoStrand-seq can efficiently resolve the MHC locus, a highly polymorphic genomic region. Moreover, NanoStrand-seq enabled independent direct calling and phasing of deletions and insertions at whole-chromosome level; when applied to long genomic regions of SNP homozygosity, it outperformed the strategy that combined Strand-seq with bulk long-read sequencing. Finally, we showed that, like Strand-seq, NanoStrand-seq was also applicable to primary cultured cells. Together, here we provided a novel methodology that enabled interrogation of a full spectrum of haplotype-resolved SNPs and SVs at whole-chromosome scale, with broad applications for species with diploid or even potentially polypoid genomes.

Identifiers

PMID38977679
PMCPMC11231365

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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.