Evidence map›Paper›PMID 41432001›Full record

ReviewMolecular biology and evolution2026

Insights into human history and complex traits from the genomes of African populations.

Habtom Kiros Bitsue, Chaonan Tang, Zhaohui Yang

Abstract readReview
In one paragraph

Review in Molecular biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Habtom Kiros BitsueState Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Academy of Medical Science, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-0692-3987
Chaonan TangState Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Academy of Medical Science, Zhengzhou University, Zhengzhou, China.ORCID 0009-0009-1848-7973
Zhaohui YangState Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Academy of Medical Science, Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-0958-4439

Funding

National Natural Science Foundation of China 32370664Natural Science Foundation of Henan 222300420067Program for Science & Technology Innovation Talents in Universities of Henan Province 25HASTIT049
6 · The paper itself

Abstract

Ancient and modern genomic data provide insights into continuous human migrations and subsequent admixture and gene flow throughout human history. These demographic events and natural selection contribute to the genetic and phenotypic variation that gives the African population its unique characteristics. This genomic data have provided scientists with insights into complex migratory events, patterns of admixture and the spatial distribution of ancestral lineages. For example, the return migration from western Eurasia to Africa introduced pastoralism, and the remarkable expansion of Bantu-speaking groups brought agricultural practices to a wider area of eastern and southern Africa. In addition, the continent's vast and diverse environmental conditions as well as complex human history and higher-level genetic diversity contribute to varying degrees of susceptibility and resistance to complex diseases. With all these complex demographic histories of African populations and a multi-ethnic genomic diversity, it remains essential to deepen our understanding of the genetic basis of complex traits and diseases. This review provides an overview of insights into population admixture and complex disease states based on data from ancient and modern genomes. These include the major waves of population movement and patterns of admixture that influence the diverse, complex traits observed among populations within the African continent. Overall, this review will provide a deep insight into prehistoric demographic events and the genomic profiles of modern Africans and highlights the importance of integrated international cooperation to strengthen African genomics research.

Indexed as

African PeopleBlack PeopleGenome, HumanAfricaGene FlowGenetics, PopulationGenetic VariationHuman MigrationHumansSelection, GeneticAfricangenomestraits

Identifiers

PMID41432001
PMCPMC12810205

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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.