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Record W4319072067 · doi:10.1016/j.isci.2023.106130

Modern Japanese ancestry-derived variants reveal the formation process of the current Japanese regional gradations

2023· article· en· W4319072067 on OpenAlexfundno aff
Yusuke Watanabe, Jun Ohashi

Bibliographic record

VenueiScience · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsnot available
FundersInstitute of GeneticsMinistry of Education, Culture, Sports, Science and TechnologyKanazawa UniversityNational Museum of Nature and ScienceTrinity College DublinJapan Agency for Medical Research and Development
KeywordsSingle-nucleotide polymorphismArchipelagoIndigenousPopulationDemographyEvolutionary biologyAncestry-informative markerBiologyPrehistoryGeographyAllele frequencyEast AsiaGenetic admixtureAlleleGenotypeGeneticsChinaEcologyArchaeologyGeneSociology

Abstract

fetched live from OpenAlex

Modern Japanese people have two major ancestral populations: indigenous Jomon hunter-gatherers and continental East Asian farmers. To determine the formation process of the current Japanese population, we developed a detection method for variants derived from ancestral populations using a summary statistic, the ancestry marker index ( AMI ). We applied AMI to modern Japanese population samples and identified 208,648 single nucleotide polymorphisms (SNPs) that were likely derived from the Jomon people (Jomon-derived variants). Analysis of Jomon-derived variants in 10,842 modern Japanese individuals recruited from all over Japan revealed that the admixture proportions of the Jomon people varied between prefectures, probably owing to the prehistoric population size difference. The estimated allele frequencies of genome-wide SNPs in the ancestral populations of the modern Japanese suggested their adaptive phenotypic characteristics to their respective livelihoods. Based on our findings, we propose a formation model for the genotypic and phenotypic gradations of the current Japanese archipelago populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.338
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2023
Admission routes1
Has abstractyes

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