Lancet haemat:基于全基因组测序的抗原分型算法,可通过提高供-受体抗原匹配**度,减少过敏反应、改善输血预后

2018-05-18 MedSci MedSci原创

现已知不同的个体间存在300多种不同的红细胞(RBC)抗原和33种血小板抗原。对抗原敏感是一种严重并发症,可发生于产前用药和输血后,特别是需要多次输血的患者。虽然输血前的兼容性测试主要是依赖于血清学方法,但很多抗原都检测不出来。既往还用过基于单核苷酸多态性(SNP)的方法,但对于ABO和Rh分型——最主要的血型——不能单靠SNP鉴定。William J Lane等人开发了一种新的基于全基因组测序的

现已知不同的个体间存在300多种不同的红细胞(RBC)抗原和33种血小板抗原。对抗原敏感是一种严重并发症,可发生于产前用药和输血后,特别是需要多次输血的患者。虽然输血前的兼容性测试主要是依赖于血清学方法,但很多抗原都检测不出来。既往还用过基于单核苷酸多态性(SNP)的方法,但对于ABO和Rh分型——最主要的血型——不能单靠SNP鉴定。William J Lane等人开发了一种新的基于全基因组测序的鉴定RBC和血小板抗原的方法,相关研究结果于近日发表在Lancet子刊上。

本全基因组测序研究是对MedSeq项目随机对照试验中全基因组测序队列的患者数据(无预后数据)进行的亚分析。研究人员建立一RBC和血小板抗原分子改变的数据库,并开发了一种基于全基因组测序的自动抗原分析算法(BloodTyler)。该算法经过迭代改进,以解决顺式单倍体歧义和同源基因排列。通过与传统血清学和SNP对12个血型系统的38种RBC抗原和22种人类血小板抗原的分型结果对比,来验证BloodTyper(110位MedSeq受试者的全基因组测序数据)。并进一步通过对比INTERVAL试验的100位受试者的血清学结果对bloodTyper进行验证。

研究人员进行了三轮测试,通过与传统血清学方法和SNP分型对比,bloodTyper进行反复迭代提高。在首批的20个MedSeq基因组中,初代全基因组测序分型算法的一致性可达99.5%。解决不一致问题后算法的一致性进一步提高,在剩余的90例MedSeq基因组中一致性可达99.8%。再次校正后获得终极版算法,在INTERVAL的200例基因组中一致性可达99.2%。

基于全基因组测序的抗原分型,通过对患者和献血者进行更精确的抗原匹配,提供了一种新的可改善输血预后的方法,甚至可能会改变输血医疗实践。

原始出处:

William J Lane,et al.Automated typing of red blood cell and platelet antigens: a whole-genome sequencing study. The Lancet Haematology. May 17,2018.https://doi.org/10.1016/S2352-3026(18)30053-X

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    2018-10-17 changfy
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    2018-09-22 howi
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    2018-05-20 windight
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style='color:#2F92EE;'>#抗原#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=55263, encryptionId=62a655263e9, topicName=抗原)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f59b20519025, createdName=xiaoyeshuang, createdTime=Sun May 20 00:41:00 CST 2018, time=2018-05-20, status=1, ipAttribution=)]
    2018-05-20 fengyi812
  5. 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style='color:#2F92EE;'>#抗原#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=21, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=55263, encryptionId=62a655263e9, topicName=抗原)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f59b20519025, createdName=xiaoyeshuang, createdTime=Sun May 20 00:41:00 CST 2018, time=2018-05-20, status=1, ipAttribution=)]
  6. [GetPortalCommentsPageByObjectIdResponse(id=2008365, encodeId=77f3200836529, content=<a href='/topic/show?id=1066844469' target=_blank style='color:#2F92EE;'>#HAE#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=8444, encryptionId=1066844469, topicName=HAE)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=32d177, createdName=changfy, createdTime=Wed Oct 17 23:41:00 CST 2018, time=2018-10-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1829628, encodeId=1efd182962893, content=<a href='/topic/show?id=1b6210686b2' target=_blank style='color:#2F92EE;'>#Lancet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10686, encryptionId=1b6210686b2, topicName=Lancet)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3f0227, 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  7. 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  8. 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