Evidence map›Paper›PMID 40898550›Full record

SynthesisMedicine2025

Human genetic diversity across South Asian populations: A systematic review and meta-analysis.

Shafee Ur Rehman, Ghulam H Abbas

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Roles of the E3 Ubiquitin Ligase TRIM47 in Inflammation, Organ Injury, and Cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
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

2 authors.

Shafee Ur RehmanFaculty of Medicine, Ala-Too International University, Tunguch, Bishkek, Kyrgyzstan.ORCID 0000-0001-5238-5211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSouth Asia comprises genetically diverse populations because its populations have experienced multiple migrations combined with endogamy and isolation throughout history. Research on large-scale genetic variation patterns in this region remains scarce. This study aims to perform both a systematic review and meta-analysis of research about genetic diversity in South Asian populations.

methodsThe PubMed database yielded 3798 studies within the time frame from 2010 to 2025. The analysis included 57 studies that fulfilled the required criteria after initial screening. The random-effects model processed pooled F_ST values together with heterozygosity estimates and allele frequency variation across ethnic subgroups.

resultsThe genetic differentiation (F_ST) measurements between significant South Asian groups extended from 0.02 to 0.15. The homozygosity levels were significantly higher in tribal populations (mean runs of homozygosity = 0.38) than in caste groups. The combined F_ST value reached 0.072 with a 95% confidence interval ranging from 0.061 to 0.084. The highest heterozygosity values existed among North Indian speakers of the Indo-European language, while isolated tribal populations showed the lowest heterozygosity levels.

conclusionThe genetic structure of South Asia extends deep into its population because of geographical barriers as well as linguistic and social organization systems. The diverse genetic makeup of populations affects both disease risk profiles and precision medical approaches for individual groups.

Indexed as

Genetics, PopulationGenetic VariationSouth Asian PeopleEthnicityGene FrequencyHeterozygoteHumansFixation Indexgenetic diversitygenome-wide association studiespopulation structureSouth Asia

Identifiers

PMID40898550
PMCPMC12401239

What OpenQuestion holds

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Registered trials

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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.