Evidence map›Paper›PMID 35627311›Full record

ReviewGenes2022

Inferring Signatures of Positive Selection in Whole-Genome Sequencing Data: An Overview of Haplotype-Based Methods.

Paolo Abondio, Elisabetta Cilli, Donata Luiselli

Abstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genomic scans for diversity and selection signatures in Indian Red Sindhi cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  5. Article
  6. Selection Signatures in the Genome of Dzhalgin Merino Sheep Breed.Animals : an open access journal from MDPI · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

3 authors.

Paolo AbondioDepartment of Cultural Heritage, University of Bologna, Via Degli Ariani 1, 48121 Ravenna, Italy.ORCID 0000-0002-9626-8495
Elisabetta CilliDepartment of Cultural Heritage, University of Bologna, Via Degli Ariani 1, 48121 Ravenna, Italy.ORCID 0000-0003-0407-267X
Donata LuiselliDepartment of Cultural Heritage, University of Bologna, Via Degli Ariani 1, 48121 Ravenna, Italy.ORCID 0000-0003-2105-2478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signatures of positive selection in the genome are a characteristic mark of adaptation that can reveal an ongoing, recent, or ancient response to environmental change throughout the evolution of a population. New sources of food, climate conditions, and exposure to pathogens are only some of the possible sources of selective pressure, and the rise of advantageous genetic variants is a crucial determinant of survival and reproduction. In this context, the ability to detect these signatures of selection may pinpoint genetic variants that are responsible for a significant change in gene regulation, gene expression, or protein synthesis, structure, and function. This review focuses on statistical methods that take advantage of linkage disequilibrium and haplotype determination to reveal signatures of positive selection in whole-genome sequencing data, showing that they emerge from different descriptions of the same underlying event. Moreover, considerations are provided around the application of these statistics to different species, their suitability for ancient DNA, and the usefulness of discovering variants under selection for biomedicine and public health in an evolutionary medicine framework.

Indexed as

GenomeSelection, GeneticHaplotypesLinkage DisequilibriumWhole Genome Sequencinghaplotypehaplotype-based methodshaplotype compositionhaplotype frequencyhaplotype homozygositylinkagepositive selectionselective sweepstatisticswhole-genome sequencing

Identifiers

PMID35627311
PMCPMC9141518

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.