TY  - JOUR
A1  - Yang, Xuting
A1  - Yao, Wanqiang
A1  - Li, Pengfei
A1  - Hu, Jinfei
A1  - Latifi, Hooman
A1  - Kang, Li
A1  - Wang, Ningjing
A1  - Zhang, Dingming
T1  - Changes of SOC content in China's Shendong coal mining area during 1990–2020 investigated using remote sensing techniques
JF  - Sustainability
N2  - Coal mining, an important human activity, disturbs soil organic carbon (SOC) accumulation and decomposition, eventually affecting terrestrial carbon cycling and the sustainability of human society. However, changes of SOC content and their relation with influential factors in coal mining areas remained unclear. In the study, predictive models of SOC content were developed based on field sampling and Landsat images for different land-use types (grassland, forest, farmland, and bare land) of the largest coal mining area in China (i.e., Shendong). The established models were employed to estimate SOC content across the Shendong mining area during 1990–2020, followed by an investigation into the impacts of climate change and human disturbance on SOC content by a Geo-detector. Results showed that the models produced satisfactory results (R\(^2\) > 0.69, p < 0.05), demonstrating that SOC content over a large coal mining area can be effectively assessed using remote sensing techniques. Results revealed that average SOC content in the study area rose from 5.67 gC·kg\(^{−1}\) in 1990 to 9.23 gC·kg\(^{−1}\) in 2010 and then declined to 5.31 gC·Kg\(^{−1}\) in 2020. This could be attributed to the interaction between the disturbance of soil caused by coal mining and the improvement of eco-environment by land reclamation. Spatially, the SOC content of farmland was the highest, followed by grassland, and that of bare land was the lowest. SOC accumulation was inhibited by coal mining activities, with the effect of high-intensity mining being lower than that of moderate- and low-intensity mining activities. Land use was found to be the strongest individual influencing factor for SOC content changes, while the interaction between vegetation coverage and precipitation exerted the most significant influence on the variability of SOC content. Furthermore, the influence of mining intensity combined with precipitation was 10 times higher than that of mining intensity alone.
KW  - loess plateau
KW  - coal mining area
KW  - SOC content prediction
KW  - human disturbance
KW  - vegetation restoration
KW  - climate change
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-278939
SN  - 2071-1050
VL  - 14
IS  - 12
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  -