Evidence map›Paper›PMID 34462542›Full record

ArticleCommunications biology2021

Building a Chinese pan-genome of 486 individuals.

Qiuhui Li, Shilin Tian, Bin Yan, Chi Man Liu, Tak-Wah Lam, Ruiqiang Li, Ruibang Luo

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  7. The goat pan-genome reveals patterns of gene loss during domestication.Journal of animal science and biotechnology · 2024
    Article
  8. A gentle introduction to pangenomics.Briefings in bioinformatics · 2024
    Review
  9. Review
  10. Article
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  14. Assembly-free discovery of human novel sequences using long reads.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  15. Article
  16. Article
  17. 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

7 authors.

Qiuhui Li *Department of Computer Science, The University of Hong Kong, Hong Kong, China.
Shilin Tian *Novogene Bioinformatics Institute, Beijing, China.ORCID http://orcid.org/0000-0001-8958-1806
Bin Yan *Department of Computer Science, The University of Hong Kong, Hong Kong, China.
Chi Man Liu *Department of Computer Science, The University of Hong Kong, Hong Kong, China.
Tak-Wah LamDepartment of Computer Science, The University of Hong Kong, Hong Kong, China. twlam@cs.hku.hk.
Ruiqiang LiNovogene Bioinformatics Institute, Beijing, China. lirq@novogene.com.
Ruibang LuoDepartment of Computer Science, The University of Hong Kong, Hong Kong, China. rbluo@cs.hku.hk.ORCID http://orcid.org/0000-0001-9711-6533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pan-genome sequence analysis of human population ancestry is critical for expanding and better defining human genome sequence diversity. However, the amount of genetic variation still missing from current human reference sequences is still unknown. Here, we used 486 deep-sequenced Han Chinese genomes to identify 276 Mbp of DNA sequences that, to our knowledge, are absent in the current human reference. We classified these sequences into individual-specific and common sequences, and propose that the common sequence size is uncapped with a growing population. The 46.646 Mbp common sequences obtained from the 486 individuals improved the accuracy of variant calling and mapping rate when added to the reference genome. We also analyzed the genomic positions of these common sequences and found that they came from genomic regions characterized by high mutation rate and low pathogenicity. Our study authenticates the Chinese pan-genome as representative of DNA sequences specific to the Han Chinese population missing from the GRCh38 reference genome and establishes the newly defined common sequences as candidates to supplement the current human reference.

Indexed as

Computational BiologyGenome, HumanChinaHumans

Identifiers

PMID34462542
PMCPMC8405635

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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.