Literature DB >> 7617351

Polymerase chain reaction determination of RhD blood type: an evaluation of accuracy.

J Yankowitz1, S Li, J C Murray.   

Abstract

OBJECTIVE: To evaluate the accuracy of polymerase chain reaction (PCR) amplification of a portion of the RhD gene by testing a large number of DNA samples derived from individuals whose RhD status was established by the standard serologic method.
METHODS: Seven hundred sixty-five samples were obtained from two sources: subjects taking part in studies at the University of Iowa Hospitals and Clinics (n = 107), and Centre d'Etude du Polymorphisme Humain (CEPH) families used for studies of genetic variation (n = 658). Deoxyribonucleic acid was extracted from blood samples of University of Iowa volunteers and from CEPH families by standard techniques. With few modifications, published primers, reaction and electrophoresis conditions, which yield a 1200-bp fragment in all individuals and a 600-bp fragment in RhD-positive individuals, were used.
RESULTS: By standard serologic techniques, we identified samples from 632 RhD-positive and 133 RhD-negative individuals. Two (both from CEPH) of the 632 RhD-positive individuals were characterized as RhD-negative by PCR. Seven of the 133 RhD-negative samples were judged to be RhD-positive by PCR because of the presence of a light 600-bp band. Despite repeated attempts, no bands or DNA were identified in one RhD-negative sample. Thus, the sensitivity of RhD typing by PCR was 99.7%, the specificity 94.0%.
CONCLUSION: Based on our data, it would appear that the use of PCR to establish RhD type can be introduced cautiously into current management schemes in the evaluation of RhD sensitization.

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Year:  1995        PMID: 7617351     DOI: 10.1016/0029-7844(95)00154-j

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  2 in total

1.  Raising the sensitivity of fetal RhD typing and sex determination from maternal blood.

Authors:  M Hengstschläger; G Hölzl; B Ulm; G Bernaschek
Journal:  J Med Genet       Date:  1997-04       Impact factor: 6.318

2.  Development and evaluation of a transfusion medicine genome wide genotyping array.

Authors:  Yuelong Guo; Michael P Busch; Mark Seielstad; Stacy Endres-Dighe; Connie M Westhoff; Brendan Keating; Carolyn Hoppe; Aarash Bordbar; Brian Custer; Adam S Butterworth; Tamir Kanias; Alan E Mast; Steve Kleinman; Yontao Lu; Grier P Page
Journal:  Transfusion       Date:  2018-11-20       Impact factor: 3.157

  2 in total

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