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 - THES A1 - Rost, Michael T1 - Genetisch bedingte und genetisch mitbedingte Erkrankungen im Krankengut einer Allgemeinarztpraxis T1 - Genetic diseases in the clinic of a general practitioner N2 - Statistische Erfassung von genetisch bedingten und genetisch mitbedingten Erkrankungen einer Allgemeinarztpraxis. Es soll verdeutlicht werden, dass die Allgemeinmedizin und die Humangenetik im Rahmen der drastischen genetischen Entwicklung der Forschung enger zusammenarbeiten und die Lehre in der Ausbildung der Allgemeinmediziner intensivierte werden sollte. N2 - A statistic of genetic diseases in the clinic of a general practitioner. General medicine and human genetic should strengthen their cooperation and the teaching of the general practitioners should be intensified in genetic things. KW - Allgemeinmedizin KW - Genetik KW - Primary care KW - genetics Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-8906 ER - TY - JOUR A1 - Rauch, Sebastian A1 - Arnold, Louisa A1 - Stuerner, Zelda A1 - Rauh, Juergen A1 - Rost, Michael T1 - A true choice of place of birth? Swiss women’s access to birth hospitals and birth centers JF - PLoS ONE N2 - While the place of birth plays a crucial role for women’s birth experiences, the interest in out-of-hospital births has increased during the Covid-19 pandemic. Related to this, various international policies recommend enabling women to choose where to give birth. We aimed to analyze Swiss women’s choice between birth hospitals and birth centers. Employing spatial accessibility analysis, we incorporated four data types: highly disaggregated population data, administrative data, street network data, addresses of birth hospitals and birth centers. 99.8% of Swiss women of childbearing age were included in the analysis (N = 1.896.669). We modelled car travel times from a woman’s residence to the nearest birth hospital and birth center. If both birth settings were available within 30 minutes, a woman was considered to have a true choice. Only 58.2% of women had a true choice. This proportion varied considerably across Swiss federal states. The main barrier to a true choice was limited accessibility of birth centers. Median travel time to birth hospitals was 9.8 (M = 12.5), to birth centers 23.9 minutes (M = 28.5). Swiss women are insufficiently empowered to exercise their reproductive autonomy as their choice of place of birth is significantly limited by geographical constraints. It is an ethical and medical imperative to provide women with a true choice. We provide high-resolution insights into the accessibility of birth settings and strong arguments to (re-)examine the need for further birth centers (and birth hospitals) in specific geographical areas. Policy-makers are obligated to improve the accessibility of birth centers to advance women’s autonomy and enhance maternal health outcomes after childbirth. The Covid-19 pandemic offers an opportunity to shift policy. KW - Switzerland KW - birth hospitals KW - access Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-300159 VL - 17 IS - 7 ER - TY - JOUR A1 - Kolokotronis, Konstantinos A1 - Pluta, Natalie A1 - Klopocki, Eva A1 - Kunstmann, Erdmute A1 - Messroghli, Daniel A1 - Maack, Christoph A1 - Tejman-Yarden, Shai A1 - Arad, Michael A1 - Rost, Simone A1 - Gerull, Brenda T1 - New Insights on Genetic Diagnostics in Cardiomyopathy and Arrhythmia Patients Gained by Stepwise Exome Data Analysis JF - Journal of Clinical Medicine N2 - Inherited cardiomyopathies are characterized by clinical and genetic heterogeneity that challenge genetic diagnostics. In this study, we examined the diagnostic benefit of exome data compared to targeted gene panel analyses, and we propose new candidate genes. We performed exome sequencing in a cohort of 61 consecutive patients with a diagnosis of cardiomyopathy or primary arrhythmia, and we analyzed the data following a stepwise approach. Overall, in 64% of patients, a variant of interest (VOI) was detected. The detection rate in the main sub-cohort consisting of patients with dilated cardiomyopathy (DCM) was much higher than previously reported (25/36; 69%). The majority of VOIs were found in disease-specific panels, while a further analysis of an extended panel and exome data led to an additional diagnostic yield of 13% and 5%, respectively. Exome data analysis also detected variants in candidate genes whose functional profile suggested a probable pathogenetic role, the strongest candidate being a truncating variant in STK38. In conclusion, although the diagnostic yield of gene panels is acceptable for routine diagnostics, the genetic heterogeneity of cardiomyopathies and the presence of still-unknown causes favor exome sequencing, which enables the detection of interesting phenotype–genotype correlations, as well as the identification of novel candidate genes. KW - cardiomyopathy KW - cardiogenetics KW - whole exome sequencing KW - targeted gene panel KW - candidate genes Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-236094 VL - 9 IS - 7 ER -