Evidence map›Paper›PMID 29691385›Full record

SynthesisNature communications2018

Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese.

Yukinori Okada, Yukihide Momozawa, Saori Sakaue, Masahiro Kanai, Kazuyoshi Ishigaki, Masato Akiyama, Toshihiro Kishikawa, Yasumichi Arai, Takashi Sasaki, Kenjiro Kosaki and 6 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 10 pooled it
–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

109 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  5. RMD open · 2022
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  6. Association of theAnnals of the rheumatic diseases · 2020
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49 more citing papers are in PubMed but not listed here.

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

16 authors.

Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan. yokada@sg.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-0311-8472
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Saori SakaueDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
Masahiro KanaiDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.ORCID http://orcid.org/0000-0001-5165-4408
Kazuyoshi IshigakiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Masato AkiyamaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Toshihiro KishikawaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
Yasumichi AraiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo, 160-8582, Japan.
Takashi SasakiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0002-6275-046X
Kenjiro KosakiCenter for Medical Genetics, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo, 160-8582, Japan.
Makoto SuematsuDepartment of Biochemistry, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo, 160-8582, Japan.
Koichi MatsudaDepartment of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan.
Kazuhiko YamamotoLaboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Nobuyoshi HiroseCenter for Supercentenarian Medical Research, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.ORCID http://orcid.org/0000-0001-8748-5597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding natural selection is crucial to unveiling evolution of modern humans. Here, we report natural selection signatures in the Japanese population using 2234 high-depth whole-genome sequence (WGS) data (25.9×). Using rare singletons, we identify signals of very recent selection for the past 2000-3000 years in multiple loci (ADH cluster, MHC region, BRAP-ALDH2, SERHL2). In large-scale genome-wide association study (GWAS) dataset (n = 171,176), variants with selection signatures show enrichment in heterogeneity of derived allele frequency spectra among the geographic regions of Japan, highlighted by two major regional clusters (Hondo and Ryukyu). While the selection signatures do not show enrichment in archaic hominin-derived genome sequences, they overlap with the SNPs associated with the modern human traits. The strongest overlaps are observed for the alcohol or nutrition metabolism-related traits. Our study illustrates the value of high-depth WGS to understand evolution and their relationship with disease risk.

Indexed as

Evolution, MolecularGenome, HumanAldehyde Dehydrogenase, MitochondrialAnimalsAsian PeopleDiseaseGene FrequencyGenome-Wide Association StudyHominidaeHumansJapanPolymorphism, Single NucleotideQuantitative Trait LociSelection, GeneticWhole Genome SequencingAldehyde Dehydrogenase, MitochondrialALDH2 protein, human

Identifiers

PMID29691385
PMCPMC5915442

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LicenceCC BY
Read underepoch 390

Registered trials

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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.