Evidence map›Paper›PMID 22057783›Full record

ArticleHuman genetics2012

Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data.

Min Hu, Qasim Ayub, José Afonso Guerra-Assunção, Quan Long, Zemin Ning, Ni Huang, Irene Gallego Romero, Lira Mamanova, Pelin Akan, Xin Liu and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Sperm Differentiation: The Role of Trafficking of Proteins.International journal of molecular sciences · 2020
    Review
  3. Article
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  5. Review
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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

19 authors at 5 institutions in 4 countries.

Min HuThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK.
Qasim Ayub
José Afonso Guerra-Assunção
Quan Long
Zemin Ning
Ni Huang
Irene Gallego Romero
Lira Mamanova
Pelin Akan
Xin Liu
Alison J Coffey
Daniel J Turner
Harold Swerdlow
John Burton
Michael A Quail
Donald F Conrad
Anton J Enright
Chris Tyler-Smith
Yali Xue
Wellcome Sanger Institute · GBWellcome Trust · GBGregor Mendel Institute of Molecular Plant Biology · ATKTH Royal Institute of Technology · SEWashington University in St. Louis · US

Funding

Wellcome Trust 077009
6 · The paper itself

Abstract

We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ~300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other.

Indexed as

Genome, HumanSelection, GeneticSequence Analysis, DNAGenotypeHaplotypesHapMap ProjectHumansModels, BiologicalPolymorphism, Genetic

Identifiers

PMID22057783
PMCPMC3325425
OpenAlexW2105162987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.