Evidence map›Paper›PMID 41455924›Full record

ArticleBMC genomics2025

Maternal lineage diversity and health-related haplogroups in the Gilgiti and Kohistani populations of northern Pakistan.

Atif Adnan, Allah Rakha, Le Tao, Qu Shen, Hao Dong Chen, Hai Feng He, Muhammad Farhat Ullah, Shahid Nazir, Absar Ahmad Zafar, Chuan-Chao Wang and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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

11 authors.

Atif AdnanSchool of Medical Science, Shandong Xiehe University, Jinan, Shandong Province, 250109, China. mirzaatifadnan@gmail.com.
Allah RakhaDepartment of Forensic Sciences, University of Health Sciences, Lahore, 54800, Pakistan.
Le TaoState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
Qu ShenDepartment of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, Fujian Province, 361000, China.
Hao Dong ChenState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
Hai Feng HeState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
Muhammad Farhat UllahNational Centre for Bioinformatics, Quaid-I-Azam University, Islamabad, 44000, Pakistan.
Shahid NazirDepartment of Forensic Sciences, University of Health Sciences, Lahore, 54800, Pakistan.
Absar Ahmad ZafarDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
Chuan-Chao WangState Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China. wang@xmu.edu.cn.
Hongbo WangSchool of International Education, Shenyang Medical Collage, Shenyang, PR China. wanghongbo@symc.edu.cn.

Funding

Department of Science and Technology of Liaoning Province 2024021179-JH2/1019
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) is a crucial genetic marker for tracing maternal ancestry, understanding population history, and identifying disease-associated variants. Northern Pakistan, particularly the Kohistani and Gilgiti populations, lies at a historically significant crossroads of human migration, yet remains genetically understudied. Previous studies on these populations have primarily focused on the mtDNA control region, limiting insights into their genetic diversity, demographic history, and health-related mutations. A comprehensive whole mitogenome analysis is essential to bridge this gap and provide a more complete understanding of their genetic landscape. This study presents the first whole mitogenome analysis of the Kohistani and Gilgiti populations, leveraging next-generation sequencing to examine 120 complete mitochondrial genomes. This approach allows for a more detailed exploration of genetic diversity, population structure, and disease-associated mutations. Our primary focus is to investigate population history, genetic affinities, and clinically relevant mtDNA variations in these groups, contributing to both evolutionary genetics and precision medicine. We observed high genetic diversity, with balancing selection evident in the Gilgiti population and signals of recent expansion in the Kohistani group. Additionally, we identified mtDNA mutations associated with Leber's Hereditary Optic Neuropathy (m.11778G > A, m.14484T > C), which are well established pathogenic variants known to exhibit incomplete penetrance in other populations, as well as MIDD and MELAS (m.3243 A > G) and metabolic syndrome (m.10398 A > G), revealing population-specific health risks that warrant cautious interpretation. These findings highlight the importance of population-specific genetic studies for disease risk assessment and healthcare planning. By characterizing the mitogenomic landscape of these populations, our study provides critical insights into the genetic history in Kohistani and Gilgiti population and biomedical significance. Overall, this work not only enriches our understanding of human migration dynamics in Northern Pakistan but also establishes a valuable reference for future anthropological and biomedical research.

Indexed as

DNA, MitochondrialGenetic VariationHaplotypesFemaleGenetics, PopulationGenome, MitochondrialHumansMutationPakistanPhylogenyDNA, MitochondrialDisease susceptibilityGilgiti populationKohistani populationMitochondrial DNA diversityPopulation history

Identifiers

PMID41455924
PMCPMC12860049

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.