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Big Data Analysis of the Domestic Distribution of RhD, C, c, E, e Antigens in the Chinese Population
HU Junhua, XIONG Haiyu, LIU Zhiwei, SHAO Shujun, TIAN Ying, ZHANG Bailing, WANG Dafang, YU Zebo, WU Changsong, WANG Xinhua, JIA Junhui, XIN Wenlong, HU Hailiang, GAO Xiaowen, LI Jun, CHEN Jing, ZHU Peiyuan, LIU Zhiyong, LIU Juan, MA Shuxuan, CHEN Shanchang, YAN Xiaoping, SHAO Zhili, ZHANG Xiaoping, NI Wenxu, MA Haimei, CHEN Linfeng, HUANG Yuanshuai, HUO Caihong, WANG Yan, SHANG Nan, YANG Ge, ZHANG Peng, MA Wanru, LIU Yanming, GONG Jiwu, ZHAO Tongmao
JOURNAL OF CLINICAL TRANSFUSION AND LABORATORY MEDICINE
2025, 27 (6):
761-766.
DOI: 10.3969/j.issn.1671-2587.2025.06.003
Objective To understand the distribution of RhD, C, c, E and e antigens among Chinese people in China, and to explore the genetic relationships of Rh blood type distribution across different regions and ethnic groups.
Methods Data on the distribution of RhD, C, c, E, and e antigens from 1 048 519 Chinese individuals across 34 provinces, municipalities directly under the Central Government, and autonomous regions were collected for population genetic analysis. The maximum likelihood method was used to calculate the Rh gene frequency and haplotype frequency. The reliability of the data was evaluated by the Hardy-Weinberg equilibrium fit test.
Results The distribution of Rh blood type in 34 provinces, municipalities and autonomous regions and 16 ethnic groups in China was consistent with Hardy-Weinberg equilibrium. The allele frequencies of
RHD and
RHCE, as well as the Rh haplotype frequencies, were associated with the subjects' place of origin. Among northerners and southerners, the RhD-positive rates were 99.55% and 99.61% respectively, and the RhD-negative rates were 0.45% and 0.39% respectively. The frequencies of DCe haplotype with Asian characteristics were 0.625 9 and 0.683 5, and the frequencies of the
RHCE*Ce allele were 0.641 6 and 0.701 4, respectively.
Conclusion The data analyzed in this report were collected nationwide using uniform standards, with over one million subjects examined. The derived data obtained through analysis can be used as control data for various regions in China and used in disease association studies, anthropological studies, and transfusion medicine research.
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