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ORIGINAL ARTICLE
Year : 2015  |  Volume : 141  |  Issue : 2  |  Page : 175-186

Development of low-density oligonucleotide microarrays for detecting mutations causing Wilson's disease


1 Molecular Biology Division, Bhabha Atomic Research Centre, Mumbai, India
2 Radiation Biology & Heath Sciences Division, Bhabha Atomic Research Centre, Mumbai; PA-II, EIRA Division, NEERI, Nehru Marg, Nagpur 440 020, Maharashtra, India
3 Radiation Biology & Heath Sciences Division, Bhabha Atomic Research Centre, Mumbai, India

Correspondence Address:
Dr. Akkipeddi V.S.S.N. Rao
Molecular Markers & Gene Expression Studies, Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400 085, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-5916.155548

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Background & objectives : Wilson's disease (WD) is an autosomal recessive disorder caused by mutations in ATP7B, a copper transporter gene, leading to hepatic and neuropsychiatric manifestations due to copper accumulation. If diagnosed early, WD patients can be managed by medicines reducing morbidity and mortality. Diagnosis of this disease requires a combination of tests and at times is inconclusive due to overlap of the symptoms with other disorders. Genetic testing is the preferred alternative in such cases particularly for individuals with a family history. Use of DNA microarray for detecting mutations in ATP7B gene is gaining popularity because of the advantages it offers in terms of throughput and sensitivity. This study attempts to establish the quality analysis procedures for microarray based diagnosis of Wilson's disease. Methods: A home-made microarrayer was used to print oligonucleotide based low-density microarrays for addressing 62 mutations causing Wilson's disease reported from Indian population. Inter- and intra- array comparisons were used to study quality of the arrays. The arrays were validated by using mutant samples generated by site directed mutagenesis. Results: The hybridization reaction were found to be consistent across the surface of a given microarray. Our results have shown that 52 °C post-hybridization wash yields better reproducibility across experiments compared to 42 °C. Our arrays have shown > 80 per cent sensitivity in detecting these 62 mutations. Interpretation & conclusions: The present results demonstrate the design and evaluation of a low-density microarray for the detection of 62 mutations in ATP7B gene, and show that a microarray based approach can be cost-effective for detecting a large number of mutations simultaneously. This study also provides information on some of the important parameters required for microarray based diagnosis of genetic disorders.


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