Evidence map›Paper›PMID 39173139›Full record

ArticleGenome biology and evolution2024

Genetic Signatures of Positive Selection in Human Populations Adapted to High Altitude in Papua New Guinea.

Ram González-Buenfil, Sofía Vieyra-Sánchez, Consuelo D Quinto-Cortés, Stephen J Oppenheimer, William Pomat, Moses Laman, Mayté C Cervantes-Hernández, Carmina Barberena-Jonas, Kathryn Auckland, Angela Allen and 6 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  4. Review
  5. TheScience (New York, N.Y.) · 2025
    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

16 authors.

Ram González-BuenfilAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0000-0002-5322-5567
Sofía Vieyra-SánchezAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0009-0001-9499-6456
Consuelo D Quinto-CortésAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0000-0002-0338-3321
Stephen J OppenheimerSchool of Anthropology, University of Oxford, Oxford, UK.ORCID 0000-0002-4838-7553
William PomatVector-Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea.ORCID 0000-0003-2640-9640
Moses LamanVector-Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea.
Mayté C Cervantes-HernándezAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0009-0008-7365-7253
Carmina Barberena-JonasAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0000-0001-7413-638X
Kathryn AucklandThe Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-7583-2886
Angela AllenDepartment of Molecular Haematology, MRC Weatherall Institute of Molecular Medicine, Headley Way, Headington, Oxford, OX3 9DS, UK.ORCID 0000-0002-0271-2285
Stephen AllenDepartment of Clinical Sciences,Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.ORCID 0000-0001-6675-249X
Maude E PhippsJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia.ORCID 0000-0001-8314-068X
Emilia Huerta-SanchezCenter for Computational Molecular Biology, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-1506-5494
Alexander G IoannidisDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-4735-7803
Alexander J MentzerThe Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-4502-2209
Andrés Moreno-EstradaAdvanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.ORCID 0000-0001-8329-8292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Papua New Guinea (PNG) hosts distinct environments mainly represented by the ecoregions of the Highlands and Lowlands that display increased altitude and a predominance of pathogens, respectively. Since its initial peopling approximately 50,000 years ago, inhabitants of these ecoregions might have differentially adapted to the environmental pressures exerted by each of them. However, the genetic basis of adaptation in populations from these areas remains understudied. Here, we investigated signals of positive selection in 62 highlanders and 43 lowlanders across 14 locations in the main island of PNG using whole-genome genotype data from the Oceanian Genome Variation Project (OGVP) and searched for signals of positive selection through population differentiation and haplotype-based selection scans. Additionally, we performed archaic ancestry estimation to detect selection signals in highlanders within introgressed regions of the genome. Among highland populations we identified candidate genes representing known biomarkers for mountain sickness (SAA4, SAA1, PRDX1, LDHA) as well as candidate genes of the Notch signaling pathway (PSEN1, NUMB, RBPJ, MAML3), a novel proposed pathway for high altitude adaptation in multiple organisms. We also identified candidate genes involved in oxidative stress, inflammation, and angiogenesis, processes inducible by hypoxia, as well as in components of the eye lens and the immune response. In contrast, candidate genes in the lowlands are mainly related to the immune response (HLA-DQB1, HLA-DQA2, TAAR6, TAAR9, TAAR8, RNASE4, RNASE6, ANG). Moreover, we find two candidate regions to be also enriched with archaic introgressed segments, suggesting that archaic admixture has played a role in the local adaptation of PNG populations.

Indexed as

AltitudeSelection, GeneticAdaptation, PhysiologicalAltitude SicknessGenome, HumanHumansPapua New Guineaarchaic introgression. population genomicshigh altitudehuman adaptationPapua New Guineapositive selection

Identifiers

PMID39173139
PMCPMC11339866

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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.