Analysis of the ethnogenetic structure of the Mputu population of Djuma (Democratic Republic of the Congo) Based on the Distribution of the ABO Blood Group According to the Hardy-Weinberg Equilibrium Parameters

This study focused on 213 Mputu individuals living in the Catholic Mission of Djuma, located in the Kwilu Province, Democratic Republic of the Congo (DRC). It aimed to analyze the ethnogenetic structure of this population based on the distribution of the ABO blood group according to the Hardy-Weinberg equilibrium parameters. The results revealed a strong dominance of blood group O (59%), followed by groups B (15%), A (10%), and AB (7%). The corresponding allelic frequencies were 0.75 for O, 0.17 for B, and 0.08 for A. The chi-square test (χ² = 0.0127, df = 3, p > 0.05) indicated that the population is in Hardy-Weinberg equilibrium, reflecting genetic stability and the absence of major evolutionary disturbances. These findings are consistent with observations made in other Bantu populations of Central Africa, where the predominance of the O allele is often associated with adaptive evolution in response to selective pressures such as malaria. The study concludes that there is a high level of genetic homogeneity among the Mputu of Djuma and suggests the need for further research incorporating molecular markers to better understand the evolutionary dynamics of this population.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17598811
Primary Topic
Blood groups and transfusion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the ethnogenetic structure of the Mputu population of Djuma (Democratic Republic of the Congo) Based on the Distribution of the ABO Blood Group According to the Hardy-Weinberg Equilibrium Parameters

Zenodo (CERN European Organization for Nuclear Research)
Blood groups and transfusion
article

Analysis of the ethnogenetic structure of the Mputu population of Djuma (Democratic Republic of the Congo) Based on the Distribution of the ABO Blood Group According to the Hardy-Weinberg Equilibrium Parameters

article en

Abstract

This study focused on 213 Mputu individuals living in the Catholic Mission of Djuma, located in the Kwilu Province, Democratic Republic of the Congo (DRC). It aimed to analyze the ethnogenetic structure of this population based on the distribution of the ABO blood group according to the Hardy-Weinberg equilibrium parameters. The results revealed a strong dominance of blood group O (59%), followed by groups B (15%), A (10%), and AB (7%). The corresponding allelic frequencies were 0.75 for O, 0.17 for B, and 0.08 for A. The chi-square test (χ² = 0.0127, df = 3, p > 0.05) indicated that the population is in Hardy-Weinberg equilibrium, reflecting genetic stability and the absence of major evolutionary disturbances. These findings are consistent with observations made in other Bantu populations of Central Africa, where the predominance of the O allele is often associated with adaptive evolution in response to selective pressures such as malaria. The study concludes that there is a high level of genetic homogeneity among the Mputu of Djuma and suggests the need for further research incorporating molecular markers to better understand the evolutionary dynamics of this population.

Zenodo (CERN European Organization for Nuclear Research)
Pedagogical University (MZ)
Good health and well-being
Openalex Percentile: Top 30%
Blood groups and transfusion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.