TY - JOUR A1 - van Toor, Mariëlle L. A1 - Newman, Scott H. A1 - Takekawa, John Y. A1 - Wegmann, Martin A1 - Safi, Kamran T1 - Temporal segmentation of animal trajectories informed by habitat use JF - Ecosphere N2 - Most animals live in seasonal environments and experience very different conditions throughout the year. Behavioral strategies like migration, hibernation, and a life cycle adapted to the local seasonality help to cope with fluctuations in environmental conditions. Thus, how an individual utilizes the environment depends both on the current availability of habitat and the behavioral prerequisites of the individual at that time. While the increasing availability and richness of animal movement data has facilitated the development of algorithms that classify behavior by movement geometry, changes in the environmental correlates of animal movement have so far not been exploited for a behavioral annotation. Here, we suggest a method that uses these changes in individual–environment associations to divide animal location data into segments of higher ecological coherence, which we term niche segmentation. We use time series of random forest models to evaluate the transferability of habitat use over time to cluster observational data accordingly. We show that our method is able to identify relevant changes in habitat use corresponding to both changes in the availability of habitat and how it was used using simulated data, and apply our method to a tracking data set of common teal (Anas crecca). The niche segmentation proved to be robust, and segmented habitat suitability outperformed models neglecting the temporal dynamics of habitat use. Overall, we show that it is possible to classify animal trajectories based on changes of habitat use similar to geometric segmentation algorithms. We conclude that such an environmentally informed classification of animal trajectories can provide new insights into an individuals' behavior and enables us to make sensible predictions of how suitable areas might be connected by movement in space and time. KW - Anas crecca KW - animal movement KW - common teal KW - habitat use KW - life history KW - migration KW - niche dynamics KW - random forest models KW - segmentation KW - simulation KW - species distribution model KW - transferability Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164970 VL - 7 IS - 10 ER - TY - JOUR A1 - Dörk, Thilo A1 - Peterlongo, Peter A1 - Mannermaa, Arto A1 - Bolla, Manjeet K. A1 - Wang, Qin A1 - Dennis, Joe A1 - Ahearn, Thomas A1 - Andrulis, Irene L. A1 - Anton-Culver, Hoda A1 - Arndt, Volker A1 - Aronson, Kristan J. A1 - Augustinsson, Annelie A1 - Beane Freeman, Laura E. A1 - Beckmann, Matthias W. A1 - Beeghly-Fadiel, Alicia A1 - Behrens, Sabine A1 - Bermisheva, Marina A1 - Blomqvist, Carl A1 - Bogdanova, Natalia V. A1 - Bojesen, Stig E. A1 - Brauch, Hiltrud A1 - Brenner, Hermann A1 - Burwinkel, Barbara A1 - Canzian, Federico A1 - Chan, Tsun L. A1 - Chang-Claude, Jenny A1 - Chanock, Stephen J. A1 - Choi, Ji-Yeob A1 - Christiansen, Hans A1 - Clarke, Christine L. A1 - Couch, Fergus J. A1 - Czene, Kamila A1 - Daly, Mary B. A1 - dos-Santos-Silva, Isabel A1 - Dwek, Miriam A1 - Eccles, Diana M. A1 - Ekici, Arif B. A1 - Eriksson, Mikael A1 - Evans, D. Gareth A1 - Fasching, Peter A. A1 - Figueroa, Jonine A1 - Flyger, Henrik A1 - Fritschi, Lin A1 - Gabrielson, Marike A1 - Gago-Dominguez, Manuela A1 - Gao, Chi A1 - Gapstur, Susan M. A1 - García-Closas, Montserrat A1 - García-Sáenz, José A. A1 - Gaudet, Mia M. A1 - Giles, Graham G. A1 - Goldberg, Mark S. A1 - Goldgar, David E. A1 - Guenél, Pascal A1 - Haeberle, Lothar A1 - Haimann, Christopher A. A1 - Håkansson, Niclas A1 - Hall, Per A1 - Hamann, Ute A1 - Hartman, Mikael A1 - Hauke, Jan A1 - Hein, Alexander A1 - Hillemanns, Peter A1 - Hogervorst, Frans B. L. A1 - Hooning, Maartje J. A1 - Hopper, John L. A1 - Howell, Tony A1 - Huo, Dezheng A1 - Ito, Hidemi A1 - Iwasaki, Motoki A1 - Jakubowska, Anna A1 - Janni, Wolfgang A1 - John, Esther M. A1 - Jung, Audrey A1 - Kaaks, Rudolf A1 - Kang, Daehee A1 - Kapoor, Pooja Middha A1 - Khusnutdinova, Elza A1 - Kim, Sung-Won A1 - Kitahara, Cari M. A1 - Koutros, Stella A1 - Kraft, Peter A1 - Kristensen, Vessela N. A1 - Kwong, Ava A1 - Lambrechts, Diether A1 - Le Marchand, Loic A1 - Li, Jingmei A1 - Lindström, Sara A1 - Linet, Martha A1 - Lo, Wing-Yee A1 - Long, Jirong A1 - Lophatananon, Artitaya A1 - Lubiński, Jan A1 - Manoochehri, Mehdi A1 - Manoukian, Siranoush A1 - Margolin, Sara A1 - Martinez, Elena A1 - Matsuo, Keitaro A1 - Mavroudis, Dimitris A1 - Meindl, Alfons A1 - Menon, Usha A1 - Milne, Roger L. A1 - Mohd Taib, Nur Aishah A1 - Muir, Kenneth A1 - Mulligan, Anna Marie A1 - Neuhausen, Susan L. A1 - Nevanlinna, Heli A1 - Neven, Patrick A1 - Newman, William G. A1 - Offit, Kenneth A1 - Olopade, Olufunmilayo I. A1 - Olshan, Andrew F. A1 - Olson, Janet E. A1 - Olsson, Håkan A1 - Park, Sue K. A1 - Park-Simon, Tjoung-Won A1 - Peto, Julian A1 - Plaseska-Karanfilska, Dijana A1 - Pohl-Rescigno, Esther A1 - Presneau, Nadege A1 - Rack, Brigitte A1 - Radice, Paolo A1 - Rashid, Muhammad U. A1 - Rennert, Gad A1 - Rennert, Hedy S. A1 - Romero, Atocha A1 - Ruebner, Matthias A1 - Saloustros, Emmanouil A1 - Schmidt, Marjanka K. A1 - Schmutzler, Rita K. A1 - Schneider, Michael O. A1 - Schoemaker, Minouk J. A1 - Scott, Christopher A1 - Shen, Chen-Yang A1 - Shu, Xiao-Ou A1 - Simard, Jaques A1 - Slager, Susan A1 - Smichkoska, Snezhana A1 - Southey, Melissa C. A1 - Spinelli, John J. A1 - Stone, Jennifer A1 - Surowy, Harald A1 - Swerdlow, Anthony J. A1 - Tamimi, Rulla M. A1 - Tapper, William J. A1 - Teo, Soo H. A1 - Terry, Mary Beth A1 - Toland, Amanda E. A1 - Tollenaar, Rob A. E. M. A1 - Torres, Diana A1 - Torres-Mejía, Gabriela A1 - Troester, Melissa A. A1 - Truong, Thérèse A1 - Tsugane, Shoichiro A1 - Untch, Michael A1 - Vachon, Celine M. A1 - van den Ouweland, Ans M. W. A1 - van Veen, Elke M. A1 - Vijai, Joseph A1 - Wendt, Camilla A1 - Wolk, Alicja A1 - Yu, Jyh-Cherng A1 - Zheng, Wei A1 - Ziogas, Argyrios A1 - Ziv, Elad A1 - Dunnig, Alison A1 - Pharaoh, Paul D. P. A1 - Schindler, Detlev A1 - Devilee, Peter A1 - Easton, Douglas F. T1 - Two truncating variants in FANCC and breast cancer risk JF - Scientific Reports N2 - 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. KW - oncology KW - risk factors Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222838 VL - 9 ER -