𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identification of BRCA1 and BRCA2 carriers by allele-specific gene expression (AGE) analysis

✍ Scribed by Marco Montagna; Simona Agata; Arcangela De Nicolo; Chiara Menin; Gianni Sordi; Luigi Chieco-Bianchi; Emma D'Andrea


Publisher
John Wiley and Sons
Year
2002
Tongue
French
Weight
310 KB
Volume
98
Category
Article
ISSN
0020-7136

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Mutations in BRCA1 and BRCA2 genes confer a high risk of breast and ovarian cancer. As such, their identification is essential to reduce the risk of disease in healthy carriers, as well as in carriers who have already developed the disease because they are at increased risk for a second malignancy; moreover, noncarriers of BRCA1 and BRCA2 mutated families can be spared anxiety and unnecessary medical interventions. A number of problems, including large gene size, complex mutational spectra and genetic heterogeneity of the disease, however, make genetic testing labor intensive and often inconclusive. We devised a new mutation detection strategy called AGE (allele‐specific gene expression) analysis that relies on the detection of a “functional effect” of the mutation at the RNA level known as “nonsense‐mediated RNA decay,” thus avoiding several of the problems of BRCA1 and BRCA2 genetic testing. In particular, (i) AGE analysis discriminates among the predisposing genes and identifies mutation carriers with a single RT‐PCR reaction; (ii) it relies on the effect of truncating mutations, which represent the large majority of cases and thus identifies mutation carriers regardless of the specific genomic alteration; and (iii) it is specific for cis‐regulatory mutations that are missed at present by most of the methods. As AGE analysis has the potential to identify most of the BRCA1 and BRCA2 mutation carriers, it can be used as a preliminary screening method, thereby accelerating and increasing the sensitivity of the genetic testing process. Notably, other hereditary diseases whose genetic analysis is hampered by similar problems could benefit from this kind of approach. © 2002 Wiley‐Liss, Inc.


📜 SIMILAR VOLUMES


Mutation analysis of the BRCA1 and BRCA2
✍ Kathleen Claes; Eva Machackova; Michel De Vos; Geert Mortier; Anne De Paepe; Lud 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 41 KB 👁 2 views

Germline mutations within the adenomatous polyposis coli (APC) gene, a tumor suppressor gene, are responsible for most cases of familial adenomatous polyposis (FAP), an autosomal dominantly inherited predisposition to colorectal cancer. To date, more than 300 germ-line causative mutations within thi

Analysis of the allele-specific expressi
✍ Isabelle Tournier; Grégory Raux; Fréderic Di Fiore; Isabelle Maréchal; Carole Le 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 215 KB 👁 1 views

## Communicated by Peter Oefiner Quantitative measures of allele-specific gene expression allow the indirect detection of mutations or sequence variants in regulatory elements or in other non-coding regions that may result in significant physiological or pathological changes of gene expression and

Identification of genes with specific ex
✍ Thomas M. Gress; Christine Wallrapp; Marcus Frohme; Friederike Müller-Pillasch; 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 100 KB 👁 2 views

cDNA representational difference analysis (cDNA-RDA) is a polymerase-chain-reaction-coupled subtractive and kinetic enrichment procedure for the isolation of differentially expressed genes. In this study, the technique was used to isolate novel genes specifically expressed in pancreatic cancer. cDNA