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arxiv: 2405.09216 · v2 · pith:7RFJZJVPnew · submitted 2024-05-15 · 🧬 q-bio.PE

The Human Genomic Landscape of Oceania

Consuelo D. Quinto-Cort\'es , Carmina Barberena Jonas , Peter A. Gerlach , Sof\'ia Vieyra-S\'anchez , Ram Gonz\'alez-Buenfil , Petria R. Russell , Stephen Oppenheimer , Kathryn Auckland
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Kathryn Robson Tom Parks Julian R. Homburger Alissa L. Severson Genevieve L. Wojcik J. V\'ictor Moreno-Mayar Javier Blanco-Portillo Karla Sandoval Ishwar Verma Abdul Salam M. Sofro Frederick Delfin Maria Corazon A. De Ungria George Koki George Aho Jonathan S. Friedlaender Francoise Friedlaender Angela Allen Stephen Allen Adrian V. S. Hill Toomas Kivisild Phillip Endicott Matthew Spriggs Mark Stoneking Carlos D. Bustamante Maude Phipps William Pomat Alexander J. Mentzer Andr\'es Moreno-Estrada Alexander G. Ioannidis
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keywords Oceaniahuman genomicspopulation structureadmixtureLapita expansionPolynesian Outliersarchaic introgressiongenetic variation
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The pith

Genome-wide data from 92 populations across Oceania resolves island connections and traces layered migration histories.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper generates and analyzes genome-wide data from 92 populations spanning 58 islands and 30 countries in Oceania and its perimeter. This dataset is used to map genetic relationships among islands and identify which island groups contributed to the settlement of several Polynesian Outliers. Ancestry-specific analyses separate historical layers, tracing Austronesian ancestry to the Lapita expansion and measuring variable archaic introgression within the basal Papuan component of Oceanians and Southeast Asians. The work also catalogs pronounced differences in allele frequencies for biomedically relevant variants across population groups.

Core claim

Leveraging this diverse dataset, we resolve genetic connections among islands, providing a detailed view of regional population structure and identifying the island groups involved in the settlement of several Polynesian Outliers. Ancestry-specific analyses allow us to deconvolve different layers of history, from tracing groups deriving their Austronesian ancestry via the Lapita expansion to quantifying variable archaic introgression across the basal Papuan component of Oceanians and Southeast Asians. We map biomedically relevant variants across Oceania and Southeast Asia, observing pronounced allele-frequency differences between population groups.

What carries the argument

Ancestry-specific analyses on genome-wide data from 92 populations that deconvolve Austronesian, Papuan, and archaic components while resolving island-level structure.

Load-bearing premise

The 92 sampled populations and 58 islands are representative enough of Oceania's full genetic diversity that ancestry deconvolution and structure analyses recover historical migration events without major sampling bias.

What would settle it

New genome-wide data from additional unsampled islands that shows ancestry proportions or island connections inconsistent with the identified settlement sources for Polynesian Outliers or the quantified archaic introgression levels would undermine the historical reconstructions.

Figures

Figures reproduced from arXiv: 2405.09216 by Abdul Salam M. Sofro, Adrian V. S. Hill, Alexander G. Ioannidis, Alexander J. Mentzer, Alissa L. Severson, Andr\'es Moreno-Estrada, Angela Allen, Carlos D. Bustamante, Carmina Barberena Jonas, Consuelo D. Quinto-Cort\'es, Francoise Friedlaender, Frederick Delfin, Genevieve L. Wojcik, George Aho, George Koki, Ishwar Verma, Javier Blanco-Portillo, Jonathan S. Friedlaender, Julian R. Homburger, J. V\'ictor Moreno-Mayar, Karla Sandoval, Kathryn Auckland, Kathryn Robson, Maria Corazon A. De Ungria, Mark Stoneking, Matthew Spriggs, Maude Phipps, Peter A. Gerlach, Petria R. Russell, Phillip Endicott, Ram Gonz\'alez-Buenfil, Sof\'ia Vieyra-S\'anchez, Stephen Allen, Stephen Oppenheimer, Tom Parks, Toomas Kivisild, William Pomat.

Figure 1
Figure 1. Figure 1: A. Geographic distribution of all the samples used in this study. Each circle represents a population, colored by its geographic location and its size is proportional to the number of samples. B. Pie charts show the average ancestry proportions for each location at K=9. The Neighbor-Joining tree shows the relationship between the genetic clusters inferred by ADMIXTURE. C. Bar charts show the frequency of 3… view at source ↗
Figure 2
Figure 2. Figure 2: Populations are colored by their geographic group. A. Principal component analysis of the OGVP dataset and ancient samples from the Pacific. Ancient Lapita samples are represented as black symbols. B. Neighbor-joining tree of the Lapita sequences from Tonga and Vanuatu together with the Austronesian ancestry specific sequences from the modern samples. 16/19 [PITH_FULL_IMAGE:figures/full_fig_p015_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: A. Network based on the amount of IBD sharing between populations. The amount of shared IBD is shown as an edge between locations and the color of each edge is relative to the average cM of shared IBD. Only edges with values > 10 cM are shown. The nodes of the network are colored according to the value of the f3 statistic when Mamanwa and Manobo were used as test populations. B. Heatmap representing the am… view at source ↗
Figure 4
Figure 4. Figure 4: A. IBD segment length distributions for all pairs of individuals in the populations that share ￾ 20 cM with Mamanwa and Manobo, used to fit the exponential decay constants (l). B. Heatmap representing Psi statistic values, it depicts an increase in retained rare variant frequencies along paths of settlements in the Pacific.C. Map with the l results for each of the populations in their geographical location… view at source ↗
Figure 5
Figure 5. Figure 5: Proportion of Denisovan ancestry estimated by f4 ratio. A. In global ancestry. B. In Papuan ancestry. C. In East Asian ancestry. Symbol shape distinguishes significant from non-significant Denisovan signal. Symbol color in populations with significant signals give the proportion of Denisovan signals in the ancestry component. Symbol size in panels B and C represents the average proportion of the human ance… view at source ↗
read the original abstract

Oceania and Island Southeast Asia have a rich, yet understudied, human genomic landscape. This region encompasses some of the first areas inhabited by humans following the out-of-Africa expansion, includes populations with the highest levels of archaic hominin introgression, and contains Pacific islands that are among the most remote continuously inhabited locations in the world. Here, we describe the first region-wide analysis of individuals from population groups spanning Oceania and its broad perimeter. In total we generate and analyze genome-wide data from 92 different populations, 58 separate islands, and 30 countries, covering one third of the planet. Leveraging this diverse dataset, we resolve genetic connections among islands, providing a detailed view of regional population structure and identifying the island groups involved in the settlement of several Polynesian Outliers. Ancestry-specific analyses allow us to deconvolve different layers of history, from tracing groups deriving their Austronesian ancestry via the Lapita expansion to quantifying variable archaic introgression across the basal Papuan component of Oceanians and Southeast Asians. Finally, we map biomedically relevant variants across Oceania and Southeast Asia, observing pronounced allele-frequency differences between population groups. Together, these findings refine models of oceanic settlement and admixture and establish a comprehensive reference that will advance global efforts to ensure broad and equitable representation in human genomics.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript presents genome-wide data from 92 populations across 58 islands and 30 countries in Oceania and Island Southeast Asia. It resolves genetic connections among islands and identifies source groups for several Polynesian Outliers, deconvolves ancestry layers (including Lapita-derived Austronesian ancestry and the basal Papuan component), quantifies variable archaic introgression, and maps allele-frequency differences in biomedically relevant variants.

Significance. If the central claims hold, the scale of the dataset offers a valuable reference for an understudied region central to human migration history, with potential to refine settlement and admixture models while advancing equitable genomic representation.

major comments (2)
  1. [Sampling description (early Results/Methods)] Sampling description (early Results/Methods): the claim that 92 populations and 58 islands provide a representative view sufficient for ancestry deconvolution and structure resolution lacks quantitative support such as genetic coverage metrics, completeness of reference panels for the Papuan/Austronesian split, or sensitivity tests to unsampled groups; this is load-bearing for the deconvolution claims.
  2. [Ancestry-specific analyses section] Ancestry-specific analyses section: without demonstrated representativeness, the tracing of Lapita-derived groups and quantification of archaic introgression across the basal Papuan component risks misattribution if key source populations or remote islands are absent from the sample.
minor comments (1)
  1. [Abstract] Abstract provides no sample sizes per group, statistical thresholds, or validation details, complicating initial assessment of the reported findings.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their recognition of the dataset's scale and potential value as a reference for Oceania genomics. We address the two major comments below, agreeing that additional quantitative support for sampling representativeness is warranted and have revised the manuscript accordingly.

read point-by-point responses

  1. Referee: Sampling description (early Results/Methods): the claim that 92 populations and 58 islands provide a representative view sufficient for ancestry deconvolution and structure resolution lacks quantitative support such as genetic coverage metrics, completeness of reference panels for the Papuan/Austronesian split, or sensitivity tests to unsampled groups; this is load-bearing for the deconvolution claims.

    Authors: We agree that the original sampling description would benefit from explicit quantitative metrics. In the revised manuscript we have expanded the early Results and Methods sections to report per-population SNP coverage, call rates, and heterozygosity; we describe the published reference panels used for the Papuan/Austronesian split and their coverage of major source groups; and we include sensitivity tests that repeat the structure and deconvolution analyses on random subsamples and after removal of individual island groups. These additions confirm that the reported patterns are robust. revision: yes

  2. Referee: Ancestry-specific analyses section: without demonstrated representativeness, the tracing of Lapita-derived groups and quantification of archaic introgression across the basal Papuan component risks misattribution if key source populations or remote islands are absent from the sample.

    Authors: We have added a dedicated sensitivity subsection to the Ancestry-specific analyses section. This subsection reports re-estimation of Lapita ancestry proportions and archaic introgression levels after iterative removal of remote-island and potential source populations; the primary signals (source groups for Polynesian Outliers and variable archaic introgression) remain stable. We have also inserted a limitations paragraph that explicitly discusses the implications of any unsampled groups. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical genomic analysis with no derived predictions or self-referential chains

full rationale

The paper reports an empirical analysis of newly generated genome-wide data from 92 populations across 58 islands, with central claims (island connections, Polynesian Outlier settlement sources, Lapita-derived ancestry tracing, and archaic introgression quantification) presented as direct outputs of standard population-genetic methods applied to the dataset. No equations, fitted parameters renamed as predictions, self-definitional constructs, or load-bearing self-citations appear in the abstract or described claims. The derivation chain consists of data collection followed by ancestry deconvolution and structure inference; these steps do not reduce to the inputs by construction. The analysis is therefore self-contained against external benchmarks and receives the default non-circularity finding.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Empirical population-genetics survey paper; central claims rest on standard ancestry deconvolution methods and sampling assumptions rather than new theoretical constructs.

pith-pipeline@v0.9.0 · 5956 in / 1096 out tokens · 22515 ms · 2026-05-24T01:22:10.434759+00:00 · methodology

discussion (0)

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Reference graph

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