Evidence map›Paper›PMID 29796643›Full record

ArticleMolecular biology and evolution2018

Demographic History and Genetic Adaptation in the Himalayan Region Inferred from Genome-Wide SNP Genotypes of 49 Populations.

Elena Arciero, Thirsa Kraaijenbrink, Asan, Marc Haber, Massimo Mezzavilla, Qasim Ayub, Wei Wang, Zhaxi Pingcuo, Huanming Yang, Jian Wang and 5 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Exploring the genetic footprints of high altitude adapted humans and livestock.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Exploring the role of theFrontiers in genetics · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

15 authors at 7 institutions in 6 countries.

Elena ArcieroThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Thirsa KraaijenbrinkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
AsanBGI-Shenzhen, Shenzhen, China.
Marc HaberThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Massimo MezzavillaThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Qasim AyubThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Wei WangBGI-Shenzhen, Shenzhen, China.
Zhaxi PingcuoThe Third People's Hospital of the Tibet Autonomous Region, Lhasa, China.
Huanming YangBGI-Shenzhen, Shenzhen, China.
Jian WangBGI-Shenzhen, Shenzhen, China.
Mark A JoblingDepartment of Genetics & Genome Biology, University of Leicester, Leicester, United Kingdom.
George van DriemInstitute of Linguistics, University of Bern, Bern, Switzerland.
Yali XueThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Peter de KnijffDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Chris Tyler-SmithThe Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.
Wellcome Sanger Institute · GBBGI Group (China) · CNLeiden University Medical Center · NLSidra Medical and Research Center · QATibet Autonomous Region People's Hospital · CNUniversity of Bern · CHUniversity of Leicester · GB

Funding

Wellcome TrustWellcome Trust 087576Wellcome Trust 098051
6 · The paper itself

Abstract

We genotyped 738 individuals belonging to 49 populations from Nepal, Bhutan, North India, or Tibet at over 500,000 SNPs, and analyzed the genotypes in the context of available worldwide population data in order to investigate the demographic history of the region and the genetic adaptations to the harsh environment. The Himalayan populations resembled other South and East Asians, but in addition displayed their own specific ancestral component and showed strong population structure and genetic drift. We also found evidence for multiple admixture events involving Himalayan populations and South/East Asians between 200 and 2,000 years ago. In comparisons with available ancient genomes, the Himalayans, like other East and South Asian populations, showed similar genetic affinity to Eurasian hunter-gatherers (a 24,000-year-old Upper Palaeolithic Siberian), and the related Bronze Age Yamnaya. The high-altitude Himalayan populations all shared a specific ancestral component, suggesting that genetic adaptation to life at high altitude originated only once in this region and subsequently spread. Combining four approaches to identifying specific positively selected loci, we confirmed that the strongest signals of high-altitude adaptation were located near the Endothelial PAS domain-containing protein 1 and Egl-9 Family Hypoxia Inducible Factor 1 loci, and discovered eight additional robust signals of high-altitude adaptation, five of which have strong biological functional links to such adaptation. In conclusion, the demographic history of Himalayan populations is complex, with strong local differentiation, reflecting both genetic and cultural factors; these populations also display evidence of multiple genetic adaptations to high-altitude environments.

Indexed as

Adaptation, BiologicalAltitudeGenome, HumanPolymorphism, Single NucleotideBhutanGenetic DriftHumansNepalPhylogeographyPopulation DynamicsTibet

Identifiers

PMID29796643
PMCPMC6063301
OpenAlexW2804191551

What OpenQuestion holds

Textmetadata
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.