Evidence map›Paper›PMID 37351613›Full record

ArticleNucleic acids research2023

Long-read-based single sperm genome sequencing for chromosome-wide haplotype phasing of both SNPs and SVs.

Haoling Xie, Wen Li, Yuqing Guo, Xinjie Su, Kexuan Chen, Lu Wen, Fuchou Tang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Genetic diversity of infertile males in India.Journal of assisted reproduction and genetics · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

7 authors at 1 institution in 1 country.

Haoling XieBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
Wen LiBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
Yuqing GuoBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
Xinjie SuBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
Kexuan ChenBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
Lu WenBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-1773-1876
Fuchou TangBiomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-8625-7717
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although localized haploid phasing can be achieved using long read genome sequencing without parental data, reliable chromosome-scale phasing remains a great challenge. Given that sperm is a natural haploid cell, single-sperm genome sequencing can provide a chromosome-wide phase signal. Due to the limitation of read length, current short-read-based single-sperm genome sequencing methods can only achieve SNP haplotyping and come with difficulties in detecting and haplotyping structural variations (SVs) in complex genomic regions. To overcome these limitations, we developed a long-read-based single-sperm genome sequencing method and a corresponding data analysis pipeline that can accurately identify crossover events and chromosomal level aneuploidies in single sperm and efficiently detect SVs within individual sperm cells. Importantly, without parental genome information, our method can accurately conduct de novo phasing of heterozygous SVs as well as SNPs from male individuals at the whole chromosome scale. The accuracy for phasing of SVs was as high as 98.59% using 100 single sperm cells, and the accuracy for phasing of SNPs was as high as 99.95%. Additionally, our method reliably enabled deduction of the repeat expansions of haplotype-resolved STRs/VNTRs in single sperm cells. Our method provides a new opportunity for studying haplotype-related genetics in mammals.

Indexed as

Polymorphism, Single NucleotideSemenAnimalsChromosomesGenome, HumanHaplotypesHigh-Throughput Nucleotide SequencingHumansMaleMammalsSequence Analysis, DNASpermatozoa

Identifiers

PMID37351613
PMCPMC10450174
OpenAlexW4381716795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.