Evidence map›Paper›PMID 24847810›Full record

ArticlePloS one2014

Genome-wide analysis of cold adaptation in indigenous Siberian populations.

Alexia Cardona, Luca Pagani, Tiago Antao, Daniel J Lawson, Christina A Eichstaedt, Bryndis Yngvadottir, Ma Than Than Shwe, Joseph Wee, Irene Gallego Romero, Srilakshmi Raj and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 178 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Living Technology: Theoretical Perspectives on the Emergence of Sled Dogs.Animals : an open access journal from MDPI · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

15 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

17 authors at 11 institutions in 6 countries.

Alexia CardonaDepartment of Archaeology and Anthropology, University of Cambridge, Cambridge, United Kingdom.
Luca PaganiDepartment of Archaeology and Anthropology, University of Cambridge, Cambridge, United Kingdom; Wellcome Trust Sanger Institute, Hinxton, United Kingdom.
Tiago AntaoThe Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Daniel J LawsonDepartment of Mathematics, University of Bristol, Bristol, United Kingdom.
Christina A EichstaedtDepartment of Archaeology and Anthropology, University of Cambridge, Cambridge, United Kingdom.
Bryndis YngvadottirDepartment of Archaeology and Anthropology, University of Cambridge, Cambridge, United Kingdom.
Ma Than Than ShweNational Cancer Centre Singapore, Singapore, Singapore.
Joseph WeeNational Cancer Centre Singapore, Singapore, Singapore.
Irene Gallego RomeroDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.
Srilakshmi RajDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
Mait MetspaluDepartment of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia; Estonian Biocentre, Tartu, Estonia.
Richard VillemsDepartment of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia; Estonian Biocentre, Tartu, Estonia.
Eske WillerslevCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Chris Tyler-SmithWellcome Trust Sanger Institute, Hinxton, United Kingdom.
Boris A MalyarchukInstitute of Biological Problems of the North, Russian Academy of Sciences, Magadan, Russia.
Miroslava V DerenkoInstitute of Biological Problems of the North, Russian Academy of Sciences, Magadan, Russia.
Toomas KivisildDepartment of Archaeology and Anthropology, University of Cambridge, Cambridge, United Kingdom; Estonian Biocentre, Tartu, Estonia.
University of Cambridge · GBEstonian Biocentre · EENational Cancer Centre Singapore · SGRussian Academy of Sciences · RUCentre for Human Genetics · GBCornell University · USNatural History Museum Aarhus · DKUniversity of Bristol · GBUniversity of Chicago · USUniversity of Tartu · EEWellcome Sanger Institute · GB

Funding

Wellcome TrustWellcome Trust 098051
6 · The paper itself

Abstract

Following the dispersal out of Africa, where hominins evolved in warm environments for millions of years, our species has colonised different climate zones of the world, including high latitudes and cold environments. The extent to which human habitation in (sub-)Arctic regions has been enabled by cultural buffering, short-term acclimatization and genetic adaptations is not clearly understood. Present day indigenous populations of Siberia show a number of phenotypic features, such as increased basal metabolic rate, low serum lipid levels and increased blood pressure that have been attributed to adaptation to the extreme cold climate. In this study we introduce a dataset of 200 individuals from ten indigenous Siberian populations that were genotyped for 730,525 SNPs across the genome to identify genes and non-coding regions that have undergone unusually rapid allele frequency and long-range haplotype homozygosity change in the recent past. At least three distinct population clusters could be identified among the Siberians, each of which showed a number of unique signals of selection. A region on chromosome 11 (chr11:66-69 Mb) contained the largest amount of clustering of significant signals and also the strongest signals in all the different selection tests performed. We present a list of candidate cold adaption genes that showed significant signals of positive selection with our strongest signals associated with genes involved in energy regulation and metabolism (CPT1A, LRP5, THADA) and vascular smooth muscle contraction (PRKG1). By employing a new method that paints phased chromosome chunks by their ancestry we distinguish local Siberian-specific long-range haplotype signals from those introduced by admixture.

Indexed as

Cold ClimateGenomicsAcclimatizationEvolution, MolecularHumansPolymorphism, Single NucleotidePopulation GroupsSelection, GeneticSiberia

Identifiers

PMID24847810
PMCPMC4029955
OpenAlexW2070613104

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.