Evidence map›Paper›PMID 39156729›Full record

ReviewCurrent genomics2024

Global and Local Ancestry and its Importance: A Review.

Rangasai Chandra Goli, Kiyevi G Chishi, Indrajit Ganguly, Sanjeev Singh, S P Dixit, Pallavi Rathi, Vikas Diwakar, Chandana Sree C, Omkar Maharudra Limbalkar, Nidhi Sukhija and 1 more

Abstract readReview
In one paragraph

Review in Current genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genome-wide SNP evidence for the genetic uniqueness of indigenous cattle population.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  6. Gene variants, oxidative stress and inflammation in Colombian populationsBiomedica : revista del Instituto Nacional de Salud · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. 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

11 authors.

Rangasai Chandra GoliICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
Kiyevi G ChishiICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
Indrajit GangulyICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India.
Sanjeev SinghICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India.
S P DixitICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India.
Pallavi RathiICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
Vikas DiwakarICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
Chandana Sree CICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
Omkar Maharudra LimbalkarICAR- Indian Institute of Agricultural Biotechnology, Ranchi, 834010, Jharkhand, India.
Nidhi SukhijaICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
K K KanakaICAR- Indian Institute of Agricultural Biotechnology, Ranchi, 834010, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fastest way to significantly change the composition of a population is through admixture, an evolutionary mechanism. In animal breeding history, genetic admixture has provided both short-term and long-term advantages by utilizing the phenomenon of complementarity and heterosis in several traits and genetic diversity, respectively. The traditional method of admixture analysis by pedigree records has now been replaced greatly by genome-wide marker data that enables more precise estimations. Among these markers, SNPs have been the popular choice since they are cost-effective, not so laborious, and automation of genotyping is easy. Certain markers can suggest the possibility of a population's origin from a sample of DNA where the source individual is unknown or unwilling to disclose their lineage, which are called Ancestry-Informative Markers (AIMs). Revealing admixture level at the locus-specific level is termed as local ancestry and can be exploited to identify signs of recent selective response and can account for genetic drift. Considering the importance of genetic admixture and local ancestry, in this mini-review, both concepts are illustrated, encompassing basics, their estimation/identification methods, tools/software used and their applications.

Indexed as

AdmixtureAIMsARGlocal ancestrypost admixture selection signatures

Identifiers

PMID39156729
PMCPMC11327809

What Socratic 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 Socratic graph.