Evidence map›Paper›PMID 19844263›Full record

ArticleEuropean journal of human genetics : EJHG2010

Genomic landscape of positive natural selection in Northern European populations.

Tuuli Lappalainen, Elina Salmela, Peter M Andersen, Karin Dahlman-Wright, Pertti Sistonen, Marja-Liisa Savontaus, Stefan Schreiber, Päivi Lahermo, Juha Kere

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Antagonistic Pleiotropy in Human Disease.Journal of molecular evolution · 2020
    Review
  8. Population Stratification in Genetic Association Studies.Current protocols in human genetics · 2017
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Adaptation and niche construction in human prehistory: a case study from the southern Scandinavian Late Glacial.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2011
    Article
  17. Article
  18. Review
  19. 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

9 authors at 8 institutions in 3 countries.

Tuuli LappalainenInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Elina Salmela
Peter M Andersen
Karin Dahlman-Wright
Pertti Sistonen
Marja-Liisa Savontaus
Stefan Schreiber
Päivi Lahermo
Juha Kere
Finland University · FIFinnish Red Cross · FIInstitute for Molecular Medicine Finland · FIKarolinska Institutet · SEKiel University · DEUmeå University · SEUniversity of Helsinki · FIUniversity of Turku · FI

Funding

Wellcome Trust
6 · The paper itself

Abstract

Analyzing genetic variation of human populations for detecting loci that have been affected by positive natural selection is important for understanding adaptive history and phenotypic variation in humans. In this study, we analyzed recent positive selection in Northern Europe from genome-wide data sets of 250 000 and 500 000 single-nucleotide polymorphisms (SNPs) in a total of 999 individuals from Great Britain, Northern Germany, Eastern and Western Finland, and Sweden. Coalescent simulations were used for demonstrating that the integrated haplotype score (iHS) and long-range haplotype (LRH) statistics have sufficient power in genome-wide data sets of different sample sizes and SNP densities. Furthermore, the behavior of the F(ST) statistic in closely related populations was characterized by allele frequency simulations. In the analysis of the North European data set, 60 regions in the genome showed strong signs of recent positive selection. Out of these, 21 regions have not been discovered in previous scans, and many contain genes with interesting functions (eg, RAB38, INFG, NOS1AP, and APOE). In the putatively selected regions, we observed a statistically significant overrepresentation of genetic association with complex disease, which emphasizes the importance of the analysis of positive selection in understanding the evolution of human disease. Altogether, this study demonstrates the potential of genome-wide data sets to discover loci that lie behind evolutionary adaptation in different human populations.

Indexed as

Biological EvolutionGenetics, PopulationGenome, HumanGenome-Wide Association StudySelection, GeneticEuropeGene FrequencyGenetic VariationHumansPolymorphism, Single Nucleotide

Identifiers

PMID19844263
PMCPMC2987258
OpenAlexW1964983978

What Socratic holds

Textmetadata
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 Socratic graph.