Details

Autor(en) / Beteiligte

• Smith, Miriam J.
• Urquhart, Jill E.
• Harkness, Elaine F.
• Miles, Emma K.
• Bowers, Naomi L.
• Byers, Helen J.
• Bulman, Michael
• Gokhale, Carolyn
• Wallace, Andrew J.
• Newman, William G.
• Evans, D. Gareth

Titel

The Contribution of Whole Gene Deletions and Large Rearrangements to the Mutation Spectrum in Inherited Tumor Predisposing Syndromes

Ist Teil von

• Human mutation, 2016-03, Vol.37 (3), p.250-256

Ort / Verlag

United States: Blackwell Publishing Ltd

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• ABSTRACT Heterozygous whole gene deletions (WGDs), and intragenic microdeletions, account for a significant proportion of mutations underlying cancer predisposition syndromes. We analyzed the frequency and genotype–phenotype correlations of microdeletions in 12 genes (BRCA1, BRCA2, TP53, MSH2, MLH1, MSH6, PMS2, NF1, NF2, APC, PTCH1, and VHL) representing seven tumor predisposition syndromes in 5,897 individuals (2,611 families) from our center. Overall, microdeletions accounted for 14% of identified mutations. As expected, smaller deletions or duplications were more common (12%) than WGDs (2.2%). Where a WGD was identified in the germline in NF2, the mechanism of somatic second hit was not deletion, as previously described for NF1. For neurofibromatosis type 1 and 2, we compared the mechanism of germline deletion. Unlike NF1, where three specific deletion sizes account for most germline WGDs, NF2 deletion breakpoints were different across seven samples tested. One of these deletions was 3.93 Mb and conferred a severe phenotype, thus refining the region for a potential NF2 modifier gene to a 2.04‐Mb region on chromosome 22. The milder phenotype of NF2 WGDs may be due to the apparent absence of chromosome 22 loss as the second hit. These observations of WGD phenotypes will be helpful for interpreting incidental findings from microarray analysis and next‐generation sequencing. This report analyzes the frequency and genotype‐phenotype correlations of microdeletions across seven tumor predisposition syndromes in individuals from the Regional Molecular Genetics Service in Manchester, UK. These observations highlight the importance of copy number analysis in mutational screening.