BACKGROUND: Accurate determination of the CAG repeat number is crucial for diagnostic and predictive testing for Huntington disease (HD). Current PCR-based assays can accurately size up to ∼110 HTT CAG repeats. OBJECTIVE: To develop an improved assay capable of detecting larger CAG repeat expansions. METHODS: A triplet-primed PCR (TP-PCR) assay was optimized and validated on 14 HD reference DNAs, including a sample carrying a large expansion of ∼180 CAG repeats. RESULTS: All 14 HD reference samples showed 100% concordance with the previously verified allele sizes. For alleles under 45 CAGs, identical repeat sizes were obtained, while alleles larger than 46 CAGs were sized to within ±1 CAG. The improved TP-PCR assay successfully detected the ∼180 CAG repeat allele in an affected sample. CONCLUSION: This method extends the detection limit of large expanded alleles to at least ∼175-180 CAG repeats, thus reducing the likelihood of requiring Southern blot analysis for any HD-affected sample.
BACKGROUND: Accurate determination of the CAG repeat number is crucial for diagnostic and predictive testing for Huntington disease (HD). Current PCR-based assays can accurately size up to ∼110 HTT CAG repeats. OBJECTIVE: To develop an improved assay capable of detecting larger CAG repeat expansions. METHODS: A triplet-primed PCR (TP-PCR) assay was optimized and validated on 14 HD reference DNAs, including a sample carrying a large expansion of ∼180 CAG repeats. RESULTS: All 14 HD reference samples showed 100% concordance with the previously verified allele sizes. For alleles under 45 CAGs, identical repeat sizes were obtained, while alleles larger than 46 CAGs were sized to within ±1 CAG. The improved TP-PCR assay successfully detected the ∼180 CAG repeat allele in an affected sample. CONCLUSION: This method extends the detection limit of large expanded alleles to at least ∼175-180 CAG repeats, thus reducing the likelihood of requiring Southern blot analysis for any HD-affected sample.
Authors: Russell J Butterfield; Carina Imburgia; Katie Mayne; Tara Newcomb; Diane M Dunn; Brett Duval; Marcia L Feldkamp; Nicholas E Johnson; Robert B Weiss Journal: Mol Genet Genomic Med Date: 2021-02-24 Impact factor: 2.183
Authors: Mingjue Zhao; Felicia S H Cheah; Min Chen; Caroline G Lee; Hai-Yang Law; Samuel S Chong Journal: PLoS One Date: 2017-07-10 Impact factor: 3.240