Literature DB >> 25825564

Prenatal diagnosis of sickle cell disease by the technique of PCR.

Praneeta J Singh1, A C Shrivastava1, A V Shrikhande1.   

Abstract

Sickle cell disease (SCD) is prevalent in Central India and causes major morbidity and mortality. There is a lack of prenatal diagnostic facility near population affected with SCD. This is the pilot study in our region with the aim to establish prenatal diagnostic facility for the couples carrying sickle cell gene in Central India, in order to help them take an informed decision regarding fetus affected with SCD and also to calculate sensitivity of polymerase chain reaction (PCR) technique in our set up with follow up high performance liquid chromatography (HPLC) of baby's blood sample. Fetal sampling was done by chorionic villous biopsy. Extracted DNA was subjected to amplification refractory mutation system (ARMS-PCR) to detect sickle cell mutation (GAG → GTG) in the sixth codon of β globin gene. Follow-up HPLC was done to detect baby's Hb pattern. Prenatal diagnosis of sickle cell anemia was offered in total 37 cases out of which one (2.7 %) fetal sample was inadequate. Total 26 (70.27 %) fetuses had AS Hb genotype, 3 (8.11 %) had AA Hb genotype and 3 (8.11 %) had SS Hb genotype while remaining 4 (10.81 %) were given AA/AS Hb genotype. All couples with SS fetuses opted for MTP. Follow up HPLC was performed in 24 cases, out of which 18 (75 %) were correlated and 6 (25 %) were mismatched. In present study sensitivity of ARMS-PCR was 75 %. ARMS-PCR is a simple technique to be established initially for providing rapid prenatal diagnosis to the couples with known sickle cell mutation. The sensitivity of ARMS-PCR can be increased by using suitable techniques to detect maternal cell DNA contamination.

Entities:  

Keywords:  ARMS-PCR; CVS; Prenatal diagnosis; Sickle cell disease

Year:  2014        PMID: 25825564      PMCID: PMC4375164          DOI: 10.1007/s12288-014-0427-8

Source DB:  PubMed          Journal:  Indian J Hematol Blood Transfus        ISSN: 0971-4502            Impact factor:   0.900


  28 in total

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  7 in total

1.  Molecular Determination of Vascular Endothelial Growth Factor, miRNA-423 Gene Abnormalities by Utilizing ARMS-PCR and Their Association with Fetal Hemoglobin Expression in the Patients with Sickle Cell Disease.

Authors:  Abdullah Hamadi; Rashid Mir; Ali Mahzari; Abdulrahim Hakami; Reema Almotairi; Gasim Dobie; Fawaz Hamdi; Mohammed Hassan Nahari; Razan Alhefzi; Mohammed Alasseiri; Nora Y Hakami; Hadeel Al Sadoun; Osama M Al-Amer; Jameel Barnawi; Hassan A Madkhali
Journal:  Curr Issues Mol Biol       Date:  2022-06-01       Impact factor: 2.976

2.  Evaluation of amplification refractory mutation system (ARMS) technique for quick and accurate prenatal gene diagnosis of CHM variant in choroideremia.

Authors:  Lisha Yang; Iqra Ijaz; Jingliang Cheng; Chunli Wei; Xiaojun Tan; Md Asaduzzaman Khan; Xiaodong Fu; Junjiang Fu
Journal:  Appl Clin Genet       Date:  2017-12-19

3.  Detection of the sickle hemoglobin allele using a surface plasmon resonance based biosensor.

Authors:  Giulia Breveglieri; Elisabetta D'Aversa; Lucia Carmela Cosenza; Effrossyni Boutou; Angeliki Balassopoulou; Ersi Voskaridou; Roberto Gambari; Monica Borgatti
Journal:  Sens Actuators B Chem       Date:  2019-10-01       Impact factor: 7.460

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Authors:  Isaac Odame; Dipty Jain
Journal:  Indian J Med Res       Date:  2020-06       Impact factor: 2.375

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Authors:  Wjdan A Arishi; Hani A Alhadrami; Mohammed Zourob
Journal:  Micromachines (Basel)       Date:  2021-05-05       Impact factor: 2.891

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Authors:  Graham R Serjeant
Journal:  Indian J Med Res       Date:  2016-04       Impact factor: 2.375

7.  Use of an automated pyrosequencing technique for confirmation of sickle cell disease.

Authors:  Camila Cruz de Martino; Cecilia Salete Alencar; Paula Loureiro; Anna Barbara de Freitas Carneiro-Proietti; Claudia de Alvarenga Máximo; Rosimere Afonso Mota; Daniela Oliveira Werneck Rodrigues; Nelson Gaburo Junior; Shannon Kelly; Ester Cerdeira Sabino
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

  7 in total

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