Negi Gita, Malhotra Sheetal, Goyal Bela, Singh Praveen Kumar, Mirza Anissa Atif
Departments of Transfusion Medicine and Blood Bank, Rishikesh, Uttarakhand, India.
Department of Transfusion Medicine, PGIMER, Chandigarh, India.
Asian J Transfus Sci. 2024 Jul-Dec;18(2):175-181. doi: 10.4103/ajts.ajts_237_23. Epub 2024 Oct 5.
There are scarce data on Indian blood donors with respect to blood group phenotypes using molecular diagnostic modalities. Hence, we planned to estimate frequencies of blood group alleles/phenotypes using DNA microarray analysis in the north Indian RhD-negative blood donor population. With this initial pilot study, we plan to expand it to our entire donor population.
The cross-sectional prospective study was conducted on 50 Indian blood donors (O RhD negative), to study the blood group genotype frequency. Genotyping for the most relevant red blood cell antigens (Rh, Kell, Duffy, Kidd, MNS, Lutheran, and Dombrock) was done using Bioarray Precise Type Human Erythrocyte Antigen BeadChip kit containing probes directed to polymorphic sites.
In the Rh system, the most common alleles were *e/ (98%) and *c/ (80%). Phenotype K-k+ (genotype- ) was seen in 98% of samples, Js(a-b+) (*02) was detected in 98% (49/50) of the samples tested. Jk(a + b+) (*01) was the most common phenotype (48%) in the Kidd blood group system. In MNSs system, M+N+ (*01) 44% and S+s+U+ (*03) 34% were the most common phenotypes detected.
This pilot study shows the feasibility of genotyping a Northern Indian donor population. To the best of our knowledge, it is the first study on molecular blood grouping in Indian blood donors using the Bioarray platform.
关于使用分子诊断方法检测印度献血者血型表型的数据十分匮乏。因此，我们计划通过DNA微阵列分析来估计印度北部RhD阴性献血人群中血型等位基因/表型的频率。通过这项初步的试点研究，我们计划将其扩展至我们的整个献血人群。
对50名印度献血者（O型RhD阴性）进行了横断面前瞻性研究，以研究血型基因型频率。使用包含针对多态性位点的探针的生物芯片精确血型人类红细胞抗原微珠芯片试剂盒，对最相关的红细胞抗原（Rh、凯尔、达菲、基德、MNS、路德和唐布罗克）进行基因分型。
在Rh系统中，最常见的等位基因是e/（98%）和c/（80%）。98%的样本中出现了K-k+（基因型- ）表型，在检测的98%（49/50）的样本中检测到Js(a-b+)（*02）。Jk(a + b+)（*01）是基德血型系统中最常见的表型（48%）。在MNSs系统中，检测到的最常见表型是M+N+（*01）44%和S+s+U+（*03）34%。
这项试点研究表明了对印度北部献血人群进行基因分型的可行性。据我们所知，这是第一项使用生物芯片平台对印度献血者进行分子血型分型的研究。
