TY - JOUR A1 - Weber-Lassalle, Nana A1 - Hauke, Jan A1 - Ramser, Juliane A1 - Richters, Lisa A1 - Groß, Eva A1 - Blümcke, Britta A1 - Gehrig, Andrea A1 - Kahlert, Anne-Karin A1 - Müller, Clemens R. A1 - Hackmann, Karl A1 - Honisch, Ellen A1 - Weber-Lassalle, Konstantin A1 - Niederacher, Dieter A1 - Borde, Julika A1 - Thiele, Holger A1 - Ernst, Corinna A1 - Altmüller, Janine A1 - Neidhardt, Guido A1 - Nürnberg, Peter A1 - Klaschik, Kristina A1 - Schroeder, Christopher A1 - Platzer, Konrad A1 - Volk, Alexander E. A1 - Wang-Gohrke, Shan A1 - Just, Walter A1 - Auber, Bernd A1 - Kubisch, Christian A1 - Schmidt, Gunnar A1 - Horvath, Judit A1 - Wappenschmidt, Barbara A1 - Engel, Christoph A1 - Arnold, Norbert A1 - Dworniczak, Bernd A1 - Rhiem, Kerstin A1 - Meindl, Alfons A1 - Schmutzler, Rita K. A1 - Hahnen, Eric T1 - BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer JF - Breast Cancer Research N2 - Background Germline mutations in the BRIP1 gene have been described as conferring a moderate risk for ovarian cancer (OC), while the role of BRIP1 in breast cancer (BC) pathogenesis remains controversial. Methods To assess the role of deleterious BRIP1 germline mutations in BC/OC predisposition, 6341 well-characterized index patients with BC, 706 index patients with OC, and 2189 geographically matched female controls were screened for loss-of-function (LoF) mutations and potentially damaging missense variants. All index patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germline testing and tested negative for pathogenic BRCA1/2 variants. Results BRIP1 LoF mutations confer a high OC risk in familial index patients (odds ratio (OR) = 20.97, 95% confidence interval (CI) = 12.02–36.57, P < 0.0001) and in the subgroup of index patients with late-onset OC (OR = 29.91, 95% CI = 14.99–59.66, P < 0.0001). No significant association of BRIP1 LoF mutations with familial BC was observed (OR = 1.81 95% CI = 1.00–3.30, P = 0.0623). In the subgroup of familial BC index patients without a family history of OC there was also no apparent association (OR = 1.42, 95% CI = 0.70–2.90, P = 0.3030). In 1027 familial BC index patients with a family history of OC, the BRIP1 mutation prevalence was significantly higher than that observed in controls (OR = 3.59, 95% CI = 1.43–9.01; P = 0.0168). Based on the negative association between BRIP1 LoF mutations and familial BC in the absence of an OC family history, we conclude that the elevated mutation prevalence in the latter cohort was driven by the occurrence of OC in these families. Compared with controls, predicted damaging rare missense variants were significantly more prevalent in OC (P = 0.0014) but not in BC (P = 0.0693) patients. Conclusions To avoid ambiguous results, studies aimed at assessing the impact of candidate predisposition gene mutations on BC risk might differentiate between BC index patients with an OC family history and those without. In familial cases, we suggest that BRIP1 is a high-risk gene for late-onset OC but not a BC predisposition gene, though minor effects cannot be excluded. KW - breast cancer KW - ovarian cancer KW - BRIP1 gene KW - germline mutations Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233433 VL - 20 ER - TY - JOUR A1 - Nagler, Matthias A1 - Nägele, Thomas A1 - Gilli, Christian A1 - Fragner, Lena A1 - Korte, Arthur A1 - Platzer, Alexander A1 - Farlow, Ashley A1 - Nordborg, Magnus A1 - Weckwerth, Wolfram T1 - Eco-Metabolomics and Metabolic Modeling: Making the Leap From Model Systems in the Lab to Native Populations in the Field JF - Frontiers in Plant Science N2 - Experimental high-throughput analysis of molecular networks is a central approach to characterize the adaptation of plant metabolism to the environment. However, recent studies have demonstrated that it is hardly possible to predict in situ metabolic phenotypes from experiments under controlled conditions, such as growth chambers or greenhouses. This is particularly due to the high molecular variance of in situ samples induced by environmental fluctuations. An approach of functional metabolome interpretation of field samples would be desirable in order to be able to identify and trace back the impact of environmental changes on plant metabolism. To test the applicability of metabolomics studies for a characterization of plant populations in the field, we have identified and analyzed in situ samples of nearby grown natural populations of Arabidopsis thaliana in Austria. A. thaliana is the primary molecular biological model system in plant biology with one of the best functionally annotated genomes representing a reference system for all other plant genome projects. The genomes of these novel natural populations were sequenced and phylogenetically compared to a comprehensive genome database of A. thaliana ecotypes. Experimental results on primary and secondary metabolite profiling and genotypic variation were functionally integrated by a data mining strategy, which combines statistical output of metabolomics data with genome-derived biochemical pathway reconstruction and metabolic modeling. Correlations of biochemical model predictions and population-specific genetic variation indicated varying strategies of metabolic regulation on a population level which enabled the direct comparison, differentiation, and prediction of metabolic adaptation of the same species to different habitats. These differences were most pronounced at organic and amino acid metabolism as well as at the interface of primary and secondary metabolism and allowed for the direct classification of population-specific metabolic phenotypes within geographically contiguous sampling sites. KW - eco-metabolomics KW - in situ analysis KW - metabolomics KW - metabolic modeling KW - SNP KW - natural variation KW - Jacobian matrix KW - green systems biology Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-189560 SN - 1664-462X VL - 9 IS - 1556 ER -