{"title":"通过DNA微阵列分析估计rhd阴性北印度献血者中次要血型等位基因和表型频率的横断试点研究。","authors":"Gita Negi, Sheetal Malhotra, Bela Goyal, Praveen Kumar Singh, Anissa Atif Mirza","doi":"10.4103/ajts.ajts_237_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methodology: </strong>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<sup>HM</sup> Human Erythrocyte Antigen BeadChip kit containing probes directed to polymorphic sites.</p><p><strong>Results: </strong>In the Rh system, the most common alleles were <i>RHCE</i>*e/<i>RHCE*e</i> (98%) and <i>RHCE</i>*c/<i>RHCE*c</i> (80%). Phenotype K-k+ (genotype- <i>KEL*02/KEL*02</i>) was seen in 98% of samples, Js(a-b+) (<i>KEL</i>*02<i>.07/KEL*02.07</i>) was detected in 98% (49/50) of the samples tested. Jk(a + b+) (<i>JK</i>*01<i>/JK*02</i>) was the most common phenotype (48%) in the Kidd blood group system. In MNSs system, M+N+ (<i>GYPA</i>*01<i>/GYPA*02</i>) 44% and S+s+U+ (<i>GYPB</i>*03<i>/GYPB*04</i>) 34% were the most common phenotypes detected.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":42296,"journal":{"name":"Asian Journal of Transfusion Science","volume":"18 2","pages":"175-181"},"PeriodicalIF":0.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734806/pdf/","citationCount":"0","resultStr":"{\"title\":\"A cross-sectional pilot study to estimate the frequency of minor blood group alleles and phenotypes in RhD-negative North Indian blood donors by DNA microarray analysis.\",\"authors\":\"Gita Negi, Sheetal Malhotra, Bela Goyal, Praveen Kumar Singh, Anissa Atif Mirza\",\"doi\":\"10.4103/ajts.ajts_237_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methodology: </strong>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<sup>HM</sup> Human Erythrocyte Antigen BeadChip kit containing probes directed to polymorphic sites.</p><p><strong>Results: </strong>In the Rh system, the most common alleles were <i>RHCE</i>*e/<i>RHCE*e</i> (98%) and <i>RHCE</i>*c/<i>RHCE*c</i> (80%). Phenotype K-k+ (genotype- <i>KEL*02/KEL*02</i>) was seen in 98% of samples, Js(a-b+) (<i>KEL</i>*02<i>.07/KEL*02.07</i>) was detected in 98% (49/50) of the samples tested. Jk(a + b+) (<i>JK</i>*01<i>/JK*02</i>) was the most common phenotype (48%) in the Kidd blood group system. In MNSs system, M+N+ (<i>GYPA</i>*01<i>/GYPA*02</i>) 44% and S+s+U+ (<i>GYPB</i>*03<i>/GYPB*04</i>) 34% were the most common phenotypes detected.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":42296,\"journal\":{\"name\":\"Asian Journal of Transfusion Science\",\"volume\":\"18 2\",\"pages\":\"175-181\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734806/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Transfusion Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ajts.ajts_237_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/5 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Transfusion Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ajts.ajts_237_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/5 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
引言:在印度献血者的血型表型方面,使用分子诊断方式的数据很少。因此,我们计划使用DNA微阵列分析来估计北印度rhd阴性献血者人群中血型等位基因/表型的频率。有了这个初步的试点研究,我们计划将其扩展到我们所有的捐助者。方法:对50例印度献血者(O RhD阴性)进行横断面前瞻性研究,研究血型基因型频率。对最相关的红细胞抗原(Rh、Kell、Duffy、Kidd、MNS、Lutheran和Dombrock)进行基因分型,使用Bioarray Precise TypeHM Human red cyte Antigen BeadChip试剂盒,该试剂盒含有指向多态性位点的探针。结果:Rh系统中最常见的等位基因为RHCE*e/RHCE*e(98%)和RHCE*c/RHCE*c(80%)。98%的样本中存在K-k+表型(基因型- KEL*02/KEL*02), 98%(49/50)的样本中存在Js(a-b+)表型(KEL*02.07/KEL*02.07)。Jk(a + b+) (Jk *01/ Jk *02)是Kidd血型系统中最常见的表型(48%)。在MNSs体系中,最常见的表型为M+N+ (GYPA*01/GYPA*02) 44%和S+ S+ U+ (GYPB*03/GYPB*04) 34%。结论:本初步研究显示了北印度供体人群基因分型的可行性。据我们所知,这是第一个使用Bioarray平台对印度献血者进行分子血型分类的研究。
A cross-sectional pilot study to estimate the frequency of minor blood group alleles and phenotypes in RhD-negative North Indian blood donors by DNA microarray analysis.
Introduction: 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.
Methodology: 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 TypeHM Human Erythrocyte Antigen BeadChip kit containing probes directed to polymorphic sites.
Results: In the Rh system, the most common alleles were RHCE*e/RHCE*e (98%) and RHCE*c/RHCE*c (80%). Phenotype K-k+ (genotype- KEL*02/KEL*02) was seen in 98% of samples, Js(a-b+) (KEL*02.07/KEL*02.07) was detected in 98% (49/50) of the samples tested. Jk(a + b+) (JK*01/JK*02) was the most common phenotype (48%) in the Kidd blood group system. In MNSs system, M+N+ (GYPA*01/GYPA*02) 44% and S+s+U+ (GYPB*03/GYPB*04) 34% were the most common phenotypes detected.
Conclusion: 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.