Two truncating variants in FANCC and breast cancer risk

Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95% CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.Peer reviewe

Leaf shape evolution in the South African genus pelargonium l'Hèr. (Geraniaceae)

Leaf shapes reflect complex assemblages of shape-determining elements, yet evolutionary studies tend to treat leaf shape as a single attribute, for example cordate or linear. As with all complex structures, individual elements of a leaf could theoretically evolve independently and at different rates to the extent permitted by genetic and functional limitations. We examined relative evolutionary lability of shape-determining elements in the highly diverse South African plant genus Pelargonium (Geraniaceae). We used SIMMAP to calculate Bayesian posterior probabilities for ancestral states of leaf-shape characters for major nodes across multiple phylogenetic trees. Trees were derived from a Bayesian analysis of DNA sequence data from four partitions. We found that shape elements differed in rates of character-state transformations across the tree. Leaf base, apex, and overall outline had low rates. Transformations in venation occurred at slightly higher rates and were associated with shifts in venation among major clades. Leaf margin type and overall leaf size showed intermediate rates, whereas high rates were observed in the extent of lamina lobing and functional leaf size. The results indicate that suites of elements characteristic of the recently evolved xerophytic lineage, for example pinnate venation, dissected lamina, and entire margins, were acquired piecemeal over nested levels of the phylogen