TY - JOUR A1 - Zhao, De-Wei A1 - Yu, Mang A1 - Hu, Kai A1 - Wang, Wei A1 - Yang, Lei A1 - Wang, Ben-Jie A1 - Gao, Xiao-Hong A1 - Guo, Yong-Ming A1 - Xu, Yong-Qing A1 - Wei, Yu-Shan A1 - Tian, Si-Miao A1 - Yang, Fan A1 - Wang, Nan A1 - Huang, Shi-Bo A1 - Xie, Hui A1 - Wei, Xiao-Wei A1 - Jiang, Hai-Shen A1 - Zang, Yu-Qiang A1 - Ai, Jun A1 - Chen, Yuan-Liang A1 - Lei, Guang-Hua A1 - Li, Yu-Jin A1 - Tian, Geng A1 - Li, Zong-Sheng A1 - Cao, Yong A1 - Ma, Li T1 - Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey JF - Chinese Medical Journal N2 - Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. Results: NONFH was diagnosed in 218 subjects (0.725%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02% vs. 0.51%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85% vs. 0.61%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis. KW - nontraumatic osteonecrosis of the femoral head KW - risk factors KW - idiopathic osteonecrosis KW - early-stage osteonecrosis KW - implantation KW - bone KW - marrow KW - follow-up KW - intake KW - avascular necrosis KW - occupational-status KW - cigarette smoking KW - alcohol KW - prevalence Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-138482 VL - 128 IS - 21 ER - TY - JOUR A1 - Carsten A., Böger A1 - Gorski, Mathias A1 - Li, Man A1 - Hoffmann, Michael M. A1 - Huang, Chunmei A1 - Yang, Qiong A1 - Teumer, Alexander A1 - Krane, Vera A1 - O'Seaghdha, Conall M. A1 - Kutalik, Zoltán A1 - Wichmann, H.-Erich A1 - Haak, Thomas A1 - Boes, Eva A1 - Coassin, Stefan A1 - Coresh, Josef A1 - Kollerits, Barbara A1 - Haun, Margot A1 - Paulweber, Bernhard A1 - Köttgen, Anna A1 - Li, Guo A1 - Shlipak, Michael G. A1 - Powe, Neil A1 - Hwang, Shih-Jen A1 - Dehghan, Abbas A1 - Rivadeneira, Fernando A1 - Uitterlinden, André A1 - Hofman, Albert A1 - Beckmann, Jacques S. A1 - Krämer, Bernhard K. A1 - Witteman, Jacqueline A1 - Bochud, Murielle A1 - Siscovick, David A1 - Rettig, Rainer A1 - Kronenberg, Florian A1 - Wanner, Christoph A1 - Thadhani, Ravi I. A1 - Heid, Iris M. A1 - Fox, Caroline S. A1 - Kao, W.H. T1 - Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD JF - PLoS Genetics N2 - Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR < 60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression. KW - Chronic Kidney-disease KW - Stage renal-disease KW - Glomerular-filtration-rate KW - Diabetic-nephropathy KW - General-population KW - African-americans KW - Risk KW - Progression KW - Mortality KW - Variants Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-133758 VL - 7 IS - 9 ER - 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 - Schuch, Luise A. A1 - Forstner, Maria A1 - Rapp, Christina K. A1 - Li, Yang A1 - Smith, Desiree E. C. A1 - Mendes, Marisa I. A1 - Delhommel, Florent A1 - Sattler, Michael A1 - Emiralioğlu, Nagehan A1 - Taskiran, Ekim Z. A1 - Orhan, Diclehan A1 - Kiper, Nural A1 - Rohlfs, Meino A1 - Jeske, Tim A1 - Hastreiter, Maximilian A1 - Gerstlauer, Michael A1 - Torrent‐Vernetta, Alba A1 - Moreno‐Galdó, Antonio A1 - Kammer, Birgit A1 - Brasch, Frank A1 - Reu‐Hofer, Simone A1 - Griese, Matthias T1 - FARS1‐related disorders caused by bi‐allelic mutations in cytosolic phenylalanyl‐tRNA synthetase genes: Look beyond the lungs! JF - Clinical Genetics N2 - Aminoacyl‐tRNA synthetases (ARSs) catalyze the first step of protein biosynthesis (canonical function) and have additional (non‐canonical) functions outside of translation. Bi‐allelic pathogenic variants in genes encoding ARSs are associated with various recessive mitochondrial and multisystem disorders. We describe here a multisystem clinical phenotype based on bi‐allelic mutations in the two genes (FARSA, FARSB) encoding distinct subunits for tetrameric cytosolic phenylalanyl‐tRNA synthetase (FARS1). Interstitial lung disease with cholesterol pneumonitis on histology emerged as an early characteristic feature and significantly determined disease burden. Additional clinical characteristics of the patients included neurological findings, liver dysfunction, and connective tissue, muscular and vascular abnormalities. Structural modeling of newly identified missense mutations in the alpha subunit of FARS1, FARSA, showed exclusive mapping to the enzyme's conserved catalytic domain. Patient‐derived mutant cells displayed compromised aminoacylation activity in two cases, while remaining unaffected in another. Collectively, these findings expand current knowledge about the human ARS disease spectrum and support a loss of canonical and non‐canonical function in FARS1‐associated recessive disease. KW - aminoacyl‐tRNA synthetases KW - cholesterol pneumonitis KW - FARS1 KW - children´s interstitial lung disease (chILD) lipoid pneumonia Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-238827 VL - 99 IS - 6 SP - 789 EP - 801 ER - TY - JOUR A1 - Jiang, Yuxiang A1 - Oron, Tal Ronnen A1 - Clark, Wyatt T. A1 - Bankapur, Asma R. A1 - D'Andrea, Daniel A1 - Lepore, Rosalba A1 - Funk, Christopher S. A1 - Kahanda, Indika A1 - Verspoor, Karin M. A1 - Ben-Hur, Asa A1 - Koo, Da Chen Emily A1 - Penfold-Brown, Duncan A1 - Shasha, Dennis A1 - Youngs, Noah A1 - Bonneau, Richard A1 - Lin, Alexandra A1 - Sahraeian, Sayed M. E. A1 - Martelli, Pier Luigi A1 - Profiti, Giuseppe A1 - Casadio, Rita A1 - Cao, Renzhi A1 - Zhong, Zhaolong A1 - Cheng, Jianlin A1 - Altenhoff, Adrian A1 - Skunca, Nives A1 - Dessimoz, Christophe A1 - Dogan, Tunca A1 - Hakala, Kai A1 - Kaewphan, Suwisa A1 - Mehryary, Farrokh A1 - Salakoski, Tapio A1 - Ginter, Filip A1 - Fang, Hai A1 - Smithers, Ben A1 - Oates, Matt A1 - Gough, Julian A1 - Törönen, Petri A1 - Koskinen, Patrik A1 - Holm, Liisa A1 - Chen, Ching-Tai A1 - Hsu, Wen-Lian A1 - Bryson, Kevin A1 - Cozzetto, Domenico A1 - Minneci, Federico A1 - Jones, David T. A1 - Chapman, Samuel A1 - BKC, Dukka A1 - Khan, Ishita K. A1 - Kihara, Daisuke A1 - Ofer, Dan A1 - Rappoport, Nadav A1 - Stern, Amos A1 - Cibrian-Uhalte, Elena A1 - Denny, Paul A1 - Foulger, Rebecca E. A1 - Hieta, Reija A1 - Legge, Duncan A1 - Lovering, Ruth C. A1 - Magrane, Michele A1 - Melidoni, Anna N. A1 - Mutowo-Meullenet, Prudence A1 - Pichler, Klemens A1 - Shypitsyna, Aleksandra A1 - Li, Biao A1 - Zakeri, Pooya A1 - ElShal, Sarah A1 - Tranchevent, Léon-Charles A1 - Das, Sayoni A1 - Dawson, Natalie L. A1 - Lee, David A1 - Lees, Jonathan G. A1 - Sillitoe, Ian A1 - Bhat, Prajwal A1 - Nepusz, Tamás A1 - Romero, Alfonso E. A1 - Sasidharan, Rajkumar A1 - Yang, Haixuan A1 - Paccanaro, Alberto A1 - Gillis, Jesse A1 - Sedeño-Cortés, Adriana E. A1 - Pavlidis, Paul A1 - Feng, Shou A1 - Cejuela, Juan M. A1 - Goldberg, Tatyana A1 - Hamp, Tobias A1 - Richter, Lothar A1 - Salamov, Asaf A1 - Gabaldon, Toni A1 - Marcet-Houben, Marina A1 - Supek, Fran A1 - Gong, Qingtian A1 - Ning, Wei A1 - Zhou, Yuanpeng A1 - Tian, Weidong A1 - Falda, Marco A1 - Fontana, Paolo A1 - Lavezzo, Enrico A1 - Toppo, Stefano A1 - Ferrari, Carlo A1 - Giollo, Manuel A1 - Piovesan, Damiano A1 - Tosatto, Silvio C. E. A1 - del Pozo, Angela A1 - Fernández, José M. A1 - Maietta, Paolo A1 - Valencia, Alfonso A1 - Tress, Michael L. A1 - Benso, Alfredo A1 - Di Carlo, Stefano A1 - Politano, Gianfranco A1 - Savino, Alessandro A1 - Rehman, Hafeez Ur A1 - Re, Matteo A1 - Mesiti, Marco A1 - Valentini, Giorgio A1 - Bargsten, Joachim W. A1 - van Dijk, Aalt D. J. A1 - Gemovic, Branislava A1 - Glisic, Sanja A1 - Perovic, Vladmir A1 - Veljkovic, Veljko A1 - Almeida-e-Silva, Danillo C. A1 - Vencio, Ricardo Z. N. A1 - Sharan, Malvika A1 - Vogel, Jörg A1 - Kansakar, Lakesh A1 - Zhang, Shanshan A1 - Vucetic, Slobodan A1 - Wang, Zheng A1 - Sternberg, Michael J. E. A1 - Wass, Mark N. A1 - Huntley, Rachael P. A1 - Martin, Maria J. A1 - O'Donovan, Claire A1 - Robinson, Peter N. A1 - Moreau, Yves A1 - Tramontano, Anna A1 - Babbitt, Patricia C. A1 - Brenner, Steven E. A1 - Linial, Michal A1 - Orengo, Christine A. A1 - Rost, Burkhard A1 - Greene, Casey S. A1 - Mooney, Sean D. A1 - Friedberg, Iddo A1 - Radivojac, Predrag A1 - Veljkovic, Nevena T1 - An expanded evaluation of protein function prediction methods shows an improvement in accuracy JF - Genome Biology N2 - Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent. KW - Protein function prediction KW - Disease gene prioritization Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293 VL - 17 IS - 184 ER - TY - JOUR A1 - Liu, Han A1 - Chen, Chunhai A1 - Gao, Zexia A1 - Min, Jiumeng A1 - Gu, Yongming A1 - Jian, Jianbo A1 - Jiang, Xiewu A1 - Cai, Huimin A1 - Ebersberger, Ingo A1 - Xu, Meng A1 - Zhang, Xinhui A1 - Chen, Jianwei A1 - Luo, Wei A1 - Chen, Boxiang A1 - Chen, Junhui A1 - Liu, Hong A1 - Li, Jiang A1 - Lai, Ruifang A1 - Bai, Mingzhou A1 - Wei, Jin A1 - Yi, Shaokui A1 - Wang, Huanling A1 - Cao, Xiaojuan A1 - Zhou, Xiaoyun A1 - Zhao, Yuhua A1 - Wei, Kaijian A1 - Yang, Ruibin A1 - Liu, Bingnan A1 - Zhao, Shancen A1 - Fang, Xiaodong A1 - Schartl, Manfred A1 - Qian, Xueqiao A1 - Wang, Weimin T1 - The draft genome of blunt snout bream (Megalobrama amblycephala) reveals the development of intermuscular bone and adaptation to herbivorous diet JF - GigaScience N2 - The blunt snout bream Megalobrama amblycephala is the economically most important cyprinid fish species. As an herbivore, it can be grown by eco-friendly and resource-conserving aquaculture. However, the large number of intermuscular bones in the trunk musculature is adverse to fish meat processing and consumption. As a first towards optimizing this aquatic livestock, we present a 1.116-Gb draft genome of M. amblycephala, with 779.54 Mb anchored on 24 linkage groups. Integrating spatiotemporal transcriptome analyses, we show that intermuscular bone is formed in the more basal teleosts by intramembranous ossification and may be involved in muscle contractibility and coordinating cellular events. Comparative analysis revealed that olfactory receptor genes, especially of the beta type, underwent an extensive expansion in herbivorous cyprinids, whereas the gene for the umami receptor T1R1 was specifically lost in M. amblycephala. The composition of gut microflora, which contributes to the herbivorous adaptation of M. amblycephala, was found to be similar to that of other herbivores. As a valuable resource for the improvement of M. amblycephala livestock, the draft genome sequence offers new insights into the development of intermuscular bone and herbivorous adaptation. KW - Megalobrama amblycephala KW - whole genome KW - herbivorous diet KW - intermuscular bone KW - transcriptome KW - gut microflora Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-170844 VL - 6 IS - 7 ER - TY - JOUR A1 - Sánchez-Maldonado, Jose Manuel A1 - Moñiz-Díez, Ana A1 - ter Horst, Rob A1 - Campa, Daniele A1 - Cabrera-Serrano, Antonio José A1 - Martínez-Bueno, Manuel A1 - Garrido-Collado, María del Pilar A1 - Hernández-Mohedo, Francisca A1 - Fernández-Puerta, Laura A1 - López-Nevot, Miguel Ángel A1 - Cunha, Cristina A1 - González-Sierra, Pedro Antonio A1 - Springer, Jan A1 - Lackner, Michaela A1 - Alcazar-Fuoli, Laura A1 - Fianchi, Luana A1 - Aguado, José María A1 - Pagano, Livio A1 - López-Fernández, Elisa A1 - Clavero, Esther A1 - Potenza, Leonardo A1 - Luppi, Mario A1 - Moratalla, Lucia A1 - Solano, Carlos A1 - Sampedro, Antonio A1 - Cuenca-Estrella, Manuel A1 - Lass-Flörl, Cornelia A1 - Canzian, Federico A1 - Loeffler, Juergen A1 - Li, Yang A1 - Einsele, Hermann A1 - Netea, Mihai G. A1 - Vázquez, Lourdes A1 - Carvalho, Agostinho A1 - Jurado, Manuel A1 - Sainz, Juan T1 - Polymorphisms within the TNFSF4 and MAPKAPK2 loci influence the risk of developing invasive aspergillosis: a two-stage case control study in the context of the aspBIOmics consortium JF - Journal of Fungi N2 - Here, we assessed whether 36 single nucleotide polymorphisms (SNPs) within the TNFSF4 and MAPKAPK2 loci influence the risk of developing invasive aspergillosis (IA). We conducted a two-stage case control study including 911 high-risk patients diagnosed with hematological malignancies that were ascertained through the aspBIOmics consortium. The meta-analysis of the discovery and replication populations revealed that carriers of the TNFSF4\(_{rs7526628T/T}\) genotype had a significantly increased risk of developing IA (p = 0.00022). We also found that carriers of the TNFSF4\(_{rs7526628T}\) allele showed decreased serum levels of TNFSF14 protein (p = 0.0027), and that their macrophages had a decreased fungicidal activity (p = 0.048). In addition, we observed that each copy of the MAPKAPK2\(_{rs12137965G}\) allele increased the risk of IA by 60% (p = 0.0017), whereas each copy of the MAPKAPK2\(_{rs17013271T}\) allele was estimated to decrease the risk of developing the disease (p = 0.0029). Mechanistically, we found that carriers of the risk MAPKAPK2\(_{rs12137965G}\) allele showed increased numbers of CD38+IgM-IgD- plasmablasts in blood (p = 0.00086), whereas those harboring two copies of the allele had decreased serum concentrations of thymic stromal lymphopoietin (p = 0.00097). Finally, we also found that carriers of the protective MAPKAPK2\(_{rs17013271T}\) allele had decreased numbers of CD27-IgM-IgD- B cells (p = 0.00087) and significantly lower numbers of CD14+ and CD14+CD16- cells (p = 0.00018 and 0.00023). Altogether, these results suggest a role of the TNFSF4 and MAPKAPK2 genes in determining IA risk. KW - invasive aspergillosis KW - TNFSF4 KW - MAPKAPK2 KW - genetic susceptibility KW - B cells KW - monocytes KW - serum biomarkers KW - TSLP KW - TNFSF14 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-220107 SN - 2309-608X VL - 7 IS - 1 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 -