Evidence map›Paper›PMID 33202901›Full record

ArticleGenes2020

A High Quality Asian Genome Assembly Identifies Features of Common Missing Regions.

Jina Kim, Joohon Sung, Kyudong Han, Wooseok Lee, Seyoung Mun, Jooyeon Lee, Kunhyung Bahk, Inchul Yang, Young-Kyung Bae, Changhoon Kim and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 5 institutions in 1 country.

Jina KimInterdisciplinary Program of Bioinformatics, College of Natural Science, Seoul National University, Seoul 08826, Korea.ORCID 0000-0003-1684-4219
Joohon SungInterdisciplinary Program of Bioinformatics, College of Natural Science, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-9948-0160
Kyudong HanDKU-Theragen institute for NGS analysis (DTiNa), Cheonan 31116, Korea.ORCID 0000-0001-6791-2408
Wooseok LeeDKU-Theragen institute for NGS analysis (DTiNa), Cheonan 31116, Korea.
Seyoung MunDKU-Theragen institute for NGS analysis (DTiNa), Cheonan 31116, Korea.
Jooyeon LeeInstitute of Health & Environment, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-5220-0950
Kunhyung BahkInterdisciplinary Program of Bioinformatics, College of Natural Science, Seoul National University, Seoul 08826, Korea.
Inchul YangCenter for Bio-Analysis, Korea Research Institute of Standards and Science, Daejeon 34113, Korea.
Young-Kyung BaeCenter for Bio-Analysis, Korea Research Institute of Standards and Science, Daejeon 34113, Korea.
Changhoon KimBioinformatics Institute, Macrogen Inc., Seoul 08511, Korea.ORCID 0000-0003-1087-0424
Jong-Il KimGenomic Medicine Institute, Medical Research Center, Seoul National University, Seoul 03080, Korea.ORCID 0000-0002-7240-3744
Jeong-Sun SeoBioinformatics Institute, Macrogen Inc., Seoul 08511, Korea.
Seoul National University · KRTheragen · KRKorea Research Institute of Standards and Science · KRMacrogen (South Korea) · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current human reference genome (GRCh38), with its superior quality, has contributed significantly to genome analysis. However, GRCh38 may still underrepresent the ethnic genome, specifically for Asians, though exactly what we are missing is still elusive. Here, we juxtaposed GRCh38 with a high-contiguity genome assembly of one Korean (AK1) to show that a part of AK1 genome is missing in GRCh38 and that the missing regions harbored ~1390 putative coding elements. Furthermore, we found that multiple populations shared some certain parts in the missing genome when we analyzed the "unmapped" (to GRCh38) reads of fourteen individuals (five East-Asians, four Europeans, and five Africans), amounting to ~5.3 Mb (~0.2% of AK1) of the total genomic regions. The recovered AK1 regions from the "unmapped reads", which were the estimated missing regions that did not exist in GRCh38, harbored candidate coding elements. We verified that most of the common (shared by ≥7 individuals) missing regions exist in human and chimpanzee DNA. Moreover, we further identified the occurrence mechanism and ethnic heterogeneity as well as the presence of the common missing regions. This study illuminates a potential advantage of using a pangenome reference and brings up the need for further investigations on the various features of regions globally missed in GRCh38.

Indexed as

Genome, HumanAsian PeopleHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionRepetitive Sequences, Nucleic Acidhuman reference genomemissing informationoccurrence mechanismprecise ethnic genome

Identifiers

PMID33202901
PMCPMC7697454
OpenAlexW3106080211

What OpenQuestion holds

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LicenceCC BY
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.