Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probab...

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Detalles Bibliográficos
Autores: Parsons, M. T., Tudini, E., Li, H., Hahnen, E., Wappenschmidt, B., Feliubadaló, L., Aalfs, C. M., Agata, S., Aittomäki, K., Alducci, E., Alonso-Cerezo, M. C., Arnold, N., Auber, B., Austin, R., Azzollini, J., Balmaña, J., Barbieri, E., Bartram, C. R., Blanco Pérez, Ana, Blümcke, B., Bonache, S., Bonanni, B., Borg, Å, Bortesi, B., Brunet, J., Bruzzone, C., Bucksch, K., Cagnoli, G., Caldés, T., Caliebe, A., Caligo, M. A., Calvello, M., Capone, G. L., Caputo, S. M., Carnevali, I., Carrasco, E., Caux-Moncoutier, V., Cavalli, P., Cini, G., Clarke, E. M., Concolino, P., Cops, E. J., Cortesi, L., Couch, F. J., Darder, E., de la Hoya, M., Dean, M., Debatin, I., Del Valle, J., Delnatte, C., Derive, N., Diez, O., Ditsch, N., Domchek, S. M., Dutrannoy, V., Eccles, D. M., Ehrencrona, H., Enders, U., Evans, D. G., Farra, C., Faust, U., Felbor, U., Feroce, I., Fine, M., Foulkes, W. D., Galvao, H. C. R., Gambino, G., Gehrig, A., Gensini, F., Gerdes, A. M., Germani, A., Giesecke, J., Gismondi, V., Gómez, C., Gómez Garcia, E. B., González, S., Grau, E., Grill, S., Gross, E., Guerrieri-Gonzaga, A., Guillaud-Bataille, M., Gutiérrez-Enríquez, S., Haaf, T., Hackmann, K., Hansen, T. V. O., Harris, M., Hauke, J., Heinrich, T., Hellebrand, H., Herold, K. N., Honisch, E., Horvath, J., Houdayer, C., Hübbel, V., Iglesias, S., Izquierdo, A., James, P. A., Janssen, L. A. M., Jeschke, U., Kaulfuß, S., Keupp, K., Kiechle, M., Kölbl, A., Krieger, S., Kruse, T. A., Kvist, A., Lalloo, F., Larsen, M., Lattimore, V. L., Lautrup, C., Ledig, S., Leinert, E., Lewis, A. L., Lim, J., Loeffler, M., López-Fernández, A., Lucci-Cordisco, E., Maass, N., Manoukian, S., Marabelli, M., Matricardi, L., Meindl, A., Michelli, R. D., Moghadasi, S., Moles-Fernández, A., Montagna, M., Montalban, G., Monteiro, A. N., Montes, E., Mori, L., Moserle, L., Müller, C. R., Mundhenke, C., Naldi, N., Nathanson, K. L., Navarro, M., Nevanlinna, H., Nichols, C. B., Niederacher, D., Nielsen, H. R., Ong, K. R., Pachter, N., Palmero, E. I., Papi, L., Pedersen, I. S., Peissel, B., Perez-Segura, P., Pfeifer, K., Pineda, M., Pohl-Rescigno, E., Poplawski, N. K., Porfirio, B., Quante, A. S., Ramser, J., Reis, R. M., Revillion, F., Rhiem, K., Riboli, B., Ritter, J., Rivera, D., Rofes, P., Rump, A., Salinas, M., Sánchez de Abajo, A. M., Schmidt, G., Schoenwiese, U., Seggewiß, J., Solanes, A., Steinemann, D., Stiller, M., Stoppa-Lyonnet, D., Sullivan, K. J., Susman, R., Sutter, C., Tavtigian, S. V., Teo, S. H., Teulé, A., Thomassen, M., Tibiletti, M. G., Tischkowitz, M., Tognazzo, S., Toland, A. E., Tornero, E., Törngren, T., Torres-Esquius, S., Toss, A., Trainer, A. H., Tucker, K. M., van Asperen, C. J., van Mackelenbergh, M. T., Varesco, L., Vargas-Parra, G., Varon, R., Vega, A., Velasco, Á, Vesper, A. S., Viel, A., Vreeswijk, M. P. G., Wagner, S. A., Waha, A., Walker, L. C., Walters, R. J., Wang-Gohrke, S., Weber, B. H. F., Weichert, W., Wieland, K., Wiesmüller, L., Witzel, I., Wöckel, A., Woodward, E. R., Zachariae, S., Zampiga, V., Zeder-Göß, C., Investigators, K., Lázaro, C., De Nicolo, A., Radice, P., Engel, C., Schmutzler, R. K., Goldgar, D. E., Spurdle, A. B.
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Servizo Galego de Saúde (SERGAS)
Repositorio:RUNA. Repositorio da Consellería de Sanidade e Sergas
OAI Identifier:oai:runa.sergas.gal:20.500.11940/15792
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772163/pdf/HUMU-40-1557.pdf
https://www.ncbi.nlm.nih.gov/pubmed/31131967
http://hdl.handle.net/20.500.11940/15792
Access Level:acceso abierto
Palabra clave:Mutation
Early Detection of Cancer
Computational Biology
Alternative Splicing
Likelihood Functions
Humans
BRCA1 Protein
Multifactorial Inheritance
BRCA2 Protein
Genetic Predisposition to Disease
Neoplasms
biología computacional
mutación
humanos
empalme alternativo
detección precoz del cáncer
neoplasias
proteína BRCA1
herencia multifactorial
funciones de verosimilitud
predisposición genética a la enfermedad
proteína BRCA2
FPGMX
IDIS
id ES_23327df7c4edca1d5cec832b09efee43
oai_identifier_str oai:runa.sergas.gal:20.500.11940/15792
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
title Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
spellingShingle Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
Parsons, M. T.
Mutation
Early Detection of Cancer
Computational Biology
Alternative Splicing
Likelihood Functions
Humans
BRCA1 Protein
Multifactorial Inheritance
BRCA2 Protein
Genetic Predisposition to Disease
Neoplasms
biología computacional
mutación
humanos
empalme alternativo
detección precoz del cáncer
neoplasias
proteína BRCA1
herencia multifactorial
funciones de verosimilitud
predisposición genética a la enfermedad
proteína BRCA2
FPGMX
IDIS
title_short Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
title_full Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
title_fullStr Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
title_full_unstemmed Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
title_sort Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
dc.creator.none.fl_str_mv Parsons, M. T.
Tudini, E.
Li, H.
Hahnen, E.
Wappenschmidt, B.
Feliubadaló, L.
Aalfs, C. M.
Agata, S.
Aittomäki, K.
Alducci, E.
Alonso-Cerezo, M. C.
Arnold, N.
Auber, B.
Austin, R.
Azzollini, J.
Balmaña, J.
Barbieri, E.
Bartram, C. R.
Blanco Pérez, Ana
Blümcke, B.
Bonache, S.
Bonanni, B.
Borg, Å
Bortesi, B.
Brunet, J.
Bruzzone, C.
Bucksch, K.
Cagnoli, G.
Caldés, T.
Caliebe, A.
Caligo, M. A.
Calvello, M.
Capone, G. L.
Caputo, S. M.
Carnevali, I.
Carrasco, E.
Caux-Moncoutier, V.
Cavalli, P.
Cini, G.
Clarke, E. M.
Concolino, P.
Cops, E. J.
Cortesi, L.
Couch, F. J.
Darder, E.
de la Hoya, M.
Dean, M.
Debatin, I.
Del Valle, J.
Delnatte, C.
Derive, N.
Diez, O.
Ditsch, N.
Domchek, S. M.
Dutrannoy, V.
Eccles, D. M.
Ehrencrona, H.
Enders, U.
Evans, D. G.
Farra, C.
Faust, U.
Felbor, U.
Feroce, I.
Fine, M.
Foulkes, W. D.
Galvao, H. C. R.
Gambino, G.
Gehrig, A.
Gensini, F.
Gerdes, A. M.
Germani, A.
Giesecke, J.
Gismondi, V.
Gómez, C.
Gómez Garcia, E. B.
González, S.
Grau, E.
Grill, S.
Gross, E.
Guerrieri-Gonzaga, A.
Guillaud-Bataille, M.
Gutiérrez-Enríquez, S.
Haaf, T.
Hackmann, K.
Hansen, T. V. O.
Harris, M.
Hauke, J.
Heinrich, T.
Hellebrand, H.
Herold, K. N.
Honisch, E.
Horvath, J.
Houdayer, C.
Hübbel, V.
Iglesias, S.
Izquierdo, A.
James, P. A.
Janssen, L. A. M.
Jeschke, U.
Kaulfuß, S.
Keupp, K.
Kiechle, M.
Kölbl, A.
Krieger, S.
Kruse, T. A.
Kvist, A.
Lalloo, F.
Larsen, M.
Lattimore, V. L.
Lautrup, C.
Ledig, S.
Leinert, E.
Lewis, A. L.
Lim, J.
Loeffler, M.
López-Fernández, A.
Lucci-Cordisco, E.
Maass, N.
Manoukian, S.
Marabelli, M.
Matricardi, L.
Meindl, A.
Michelli, R. D.
Moghadasi, S.
Moles-Fernández, A.
Montagna, M.
Montalban, G.
Monteiro, A. N.
Montes, E.
Mori, L.
Moserle, L.
Müller, C. R.
Mundhenke, C.
Naldi, N.
Nathanson, K. L.
Navarro, M.
Nevanlinna, H.
Nichols, C. B.
Niederacher, D.
Nielsen, H. R.
Ong, K. R.
Pachter, N.
Palmero, E. I.
Papi, L.
Pedersen, I. S.
Peissel, B.
Perez-Segura, P.
Pfeifer, K.
Pineda, M.
Pohl-Rescigno, E.
Poplawski, N. K.
Porfirio, B.
Quante, A. S.
Ramser, J.
Reis, R. M.
Revillion, F.
Rhiem, K.
Riboli, B.
Ritter, J.
Rivera, D.
Rofes, P.
Rump, A.
Salinas, M.
Sánchez de Abajo, A. M.
Schmidt, G.
Schoenwiese, U.
Seggewiß, J.
Solanes, A.
Steinemann, D.
Stiller, M.
Stoppa-Lyonnet, D.
Sullivan, K. J.
Susman, R.
Sutter, C.
Tavtigian, S. V.
Teo, S. H.
Teulé, A.
Thomassen, M.
Tibiletti, M. G.
Tischkowitz, M.
Tognazzo, S.
Toland, A. E.
Tornero, E.
Törngren, T.
Torres-Esquius, S.
Toss, A.
Trainer, A. H.
Tucker, K. M.
van Asperen, C. J.
van Mackelenbergh, M. T.
Varesco, L.
Vargas-Parra, G.
Varon, R.
Vega, A.
Velasco, Á
Vesper, A. S.
Viel, A.
Vreeswijk, M. P. G.
Wagner, S. A.
Waha, A.
Walker, L. C.
Walters, R. J.
Wang-Gohrke, S.
Weber, B. H. F.
Weichert, W.
Wieland, K.
Wiesmüller, L.
Witzel, I.
Wöckel, A.
Woodward, E. R.
Zachariae, S.
Zampiga, V.
Zeder-Göß, C.
Investigators, K.
Lázaro, C.
De Nicolo, A.
Radice, P.
Engel, C.
Schmutzler, R. K.
Goldgar, D. E.
Spurdle, A. B.
author Parsons, M. T.
author_facet Parsons, M. T.
Tudini, E.
Li, H.
Hahnen, E.
Wappenschmidt, B.
Feliubadaló, L.
Aalfs, C. M.
Agata, S.
Aittomäki, K.
Alducci, E.
Alonso-Cerezo, M. C.
Arnold, N.
Auber, B.
Austin, R.
Azzollini, J.
Balmaña, J.
Barbieri, E.
Bartram, C. R.
Blanco Pérez, Ana
Blümcke, B.
Bonache, S.
Bonanni, B.
Borg, Å
Bortesi, B.
Brunet, J.
Bruzzone, C.
Bucksch, K.
Cagnoli, G.
Caldés, T.
Caliebe, A.
Caligo, M. A.
Calvello, M.
Capone, G. L.
Caputo, S. M.
Carnevali, I.
Carrasco, E.
Caux-Moncoutier, V.
Cavalli, P.
Cini, G.
Clarke, E. M.
Concolino, P.
Cops, E. J.
Cortesi, L.
Couch, F. J.
Darder, E.
de la Hoya, M.
Dean, M.
Debatin, I.
Del Valle, J.
Delnatte, C.
Derive, N.
Diez, O.
Ditsch, N.
Domchek, S. M.
Dutrannoy, V.
Eccles, D. M.
Ehrencrona, H.
Enders, U.
Evans, D. G.
Farra, C.
Faust, U.
Felbor, U.
Feroce, I.
Fine, M.
Foulkes, W. D.
Galvao, H. C. R.
Gambino, G.
Gehrig, A.
Gensini, F.
Gerdes, A. M.
Germani, A.
Giesecke, J.
Gismondi, V.
Gómez, C.
Gómez Garcia, E. B.
González, S.
Grau, E.
Grill, S.
Gross, E.
Guerrieri-Gonzaga, A.
Guillaud-Bataille, M.
Gutiérrez-Enríquez, S.
Haaf, T.
Hackmann, K.
Hansen, T. V. O.
Harris, M.
Hauke, J.
Heinrich, T.
Hellebrand, H.
Herold, K. N.
Honisch, E.
Horvath, J.
Houdayer, C.
Hübbel, V.
Iglesias, S.
Izquierdo, A.
James, P. A.
Janssen, L. A. M.
Jeschke, U.
Kaulfuß, S.
Keupp, K.
Kiechle, M.
Kölbl, A.
Krieger, S.
Kruse, T. A.
Kvist, A.
Lalloo, F.
Larsen, M.
Lattimore, V. L.
Lautrup, C.
Ledig, S.
Leinert, E.
Lewis, A. L.
Lim, J.
Loeffler, M.
López-Fernández, A.
Lucci-Cordisco, E.
Maass, N.
Manoukian, S.
Marabelli, M.
Matricardi, L.
Meindl, A.
Michelli, R. D.
Moghadasi, S.
Moles-Fernández, A.
Montagna, M.
Montalban, G.
Monteiro, A. N.
Montes, E.
Mori, L.
Moserle, L.
Müller, C. R.
Mundhenke, C.
Naldi, N.
Nathanson, K. L.
Navarro, M.
Nevanlinna, H.
Nichols, C. B.
Niederacher, D.
Nielsen, H. R.
Ong, K. R.
Pachter, N.
Palmero, E. I.
Papi, L.
Pedersen, I. S.
Peissel, B.
Perez-Segura, P.
Pfeifer, K.
Pineda, M.
Pohl-Rescigno, E.
Poplawski, N. K.
Porfirio, B.
Quante, A. S.
Ramser, J.
Reis, R. M.
Revillion, F.
Rhiem, K.
Riboli, B.
Ritter, J.
Rivera, D.
Rofes, P.
Rump, A.
Salinas, M.
Sánchez de Abajo, A. M.
Schmidt, G.
Schoenwiese, U.
Seggewiß, J.
Solanes, A.
Steinemann, D.
Stiller, M.
Stoppa-Lyonnet, D.
Sullivan, K. J.
Susman, R.
Sutter, C.
Tavtigian, S. V.
Teo, S. H.
Teulé, A.
Thomassen, M.
Tibiletti, M. G.
Tischkowitz, M.
Tognazzo, S.
Toland, A. E.
Tornero, E.
Törngren, T.
Torres-Esquius, S.
Toss, A.
Trainer, A. H.
Tucker, K. M.
van Asperen, C. J.
van Mackelenbergh, M. T.
Varesco, L.
Vargas-Parra, G.
Varon, R.
Vega, A.
Velasco, Á
Vesper, A. S.
Viel, A.
Vreeswijk, M. P. G.
Wagner, S. A.
Waha, A.
Walker, L. C.
Walters, R. J.
Wang-Gohrke, S.
Weber, B. H. F.
Weichert, W.
Wieland, K.
Wiesmüller, L.
Witzel, I.
Wöckel, A.
Woodward, E. R.
Zachariae, S.
Zampiga, V.
Zeder-Göß, C.
Investigators, K.
Lázaro, C.
De Nicolo, A.
Radice, P.
Engel, C.
Schmutzler, R. K.
Goldgar, D. E.
Spurdle, A. B.
author_role author
author2 Tudini, E.
Li, H.
Hahnen, E.
Wappenschmidt, B.
Feliubadaló, L.
Aalfs, C. M.
Agata, S.
Aittomäki, K.
Alducci, E.
Alonso-Cerezo, M. C.
Arnold, N.
Auber, B.
Austin, R.
Azzollini, J.
Balmaña, J.
Barbieri, E.
Bartram, C. R.
Blanco Pérez, Ana
Blümcke, B.
Bonache, S.
Bonanni, B.
Borg, Å
Bortesi, B.
Brunet, J.
Bruzzone, C.
Bucksch, K.
Cagnoli, G.
Caldés, T.
Caliebe, A.
Caligo, M. A.
Calvello, M.
Capone, G. L.
Caputo, S. M.
Carnevali, I.
Carrasco, E.
Caux-Moncoutier, V.
Cavalli, P.
Cini, G.
Clarke, E. M.
Concolino, P.
Cops, E. J.
Cortesi, L.
Couch, F. J.
Darder, E.
de la Hoya, M.
Dean, M.
Debatin, I.
Del Valle, J.
Delnatte, C.
Derive, N.
Diez, O.
Ditsch, N.
Domchek, S. M.
Dutrannoy, V.
Eccles, D. M.
Ehrencrona, H.
Enders, U.
Evans, D. G.
Farra, C.
Faust, U.
Felbor, U.
Feroce, I.
Fine, M.
Foulkes, W. D.
Galvao, H. C. R.
Gambino, G.
Gehrig, A.
Gensini, F.
Gerdes, A. M.
Germani, A.
Giesecke, J.
Gismondi, V.
Gómez, C.
Gómez Garcia, E. B.
González, S.
Grau, E.
Grill, S.
Gross, E.
Guerrieri-Gonzaga, A.
Guillaud-Bataille, M.
Gutiérrez-Enríquez, S.
Haaf, T.
Hackmann, K.
Hansen, T. V. O.
Harris, M.
Hauke, J.
Heinrich, T.
Hellebrand, H.
Herold, K. N.
Honisch, E.
Horvath, J.
Houdayer, C.
Hübbel, V.
Iglesias, S.
Izquierdo, A.
James, P. A.
Janssen, L. A. M.
Jeschke, U.
Kaulfuß, S.
Keupp, K.
Kiechle, M.
Kölbl, A.
Krieger, S.
Kruse, T. A.
Kvist, A.
Lalloo, F.
Larsen, M.
Lattimore, V. L.
Lautrup, C.
Ledig, S.
Leinert, E.
Lewis, A. L.
Lim, J.
Loeffler, M.
López-Fernández, A.
Lucci-Cordisco, E.
Maass, N.
Manoukian, S.
Marabelli, M.
Matricardi, L.
Meindl, A.
Michelli, R. D.
Moghadasi, S.
Moles-Fernández, A.
Montagna, M.
Montalban, G.
Monteiro, A. N.
Montes, E.
Mori, L.
Moserle, L.
Müller, C. R.
Mundhenke, C.
Naldi, N.
Nathanson, K. L.
Navarro, M.
Nevanlinna, H.
Nichols, C. B.
Niederacher, D.
Nielsen, H. R.
Ong, K. R.
Pachter, N.
Palmero, E. I.
Papi, L.
Pedersen, I. S.
Peissel, B.
Perez-Segura, P.
Pfeifer, K.
Pineda, M.
Pohl-Rescigno, E.
Poplawski, N. K.
Porfirio, B.
Quante, A. S.
Ramser, J.
Reis, R. M.
Revillion, F.
Rhiem, K.
Riboli, B.
Ritter, J.
Rivera, D.
Rofes, P.
Rump, A.
Salinas, M.
Sánchez de Abajo, A. M.
Schmidt, G.
Schoenwiese, U.
Seggewiß, J.
Solanes, A.
Steinemann, D.
Stiller, M.
Stoppa-Lyonnet, D.
Sullivan, K. J.
Susman, R.
Sutter, C.
Tavtigian, S. V.
Teo, S. H.
Teulé, A.
Thomassen, M.
Tibiletti, M. G.
Tischkowitz, M.
Tognazzo, S.
Toland, A. E.
Tornero, E.
Törngren, T.
Torres-Esquius, S.
Toss, A.
Trainer, A. H.
Tucker, K. M.
van Asperen, C. J.
van Mackelenbergh, M. T.
Varesco, L.
Vargas-Parra, G.
Varon, R.
Vega, A.
Velasco, Á
Vesper, A. S.
Viel, A.
Vreeswijk, M. P. G.
Wagner, S. A.
Waha, A.
Walker, L. C.
Walters, R. J.
Wang-Gohrke, S.
Weber, B. H. F.
Weichert, W.
Wieland, K.
Wiesmüller, L.
Witzel, I.
Wöckel, A.
Woodward, E. R.
Zachariae, S.
Zampiga, V.
Zeder-Göß, C.
Investigators, K.
Lázaro, C.
De Nicolo, A.
Radice, P.
Engel, C.
Schmutzler, R. K.
Goldgar, D. E.
Spurdle, A. B.
author2_role author
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dc.subject.none.fl_str_mv Mutation
Early Detection of Cancer
Computational Biology
Alternative Splicing
Likelihood Functions
Humans
BRCA1 Protein
Multifactorial Inheritance
BRCA2 Protein
Genetic Predisposition to Disease
Neoplasms
biología computacional
mutación
humanos
empalme alternativo
detección precoz del cáncer
neoplasias
proteína BRCA1
herencia multifactorial
funciones de verosimilitud
predisposición genética a la enfermedad
proteína BRCA2
FPGMX
IDIS
topic Mutation
Early Detection of Cancer
Computational Biology
Alternative Splicing
Likelihood Functions
Humans
BRCA1 Protein
Multifactorial Inheritance
BRCA2 Protein
Genetic Predisposition to Disease
Neoplasms
biología computacional
mutación
humanos
empalme alternativo
detección precoz del cáncer
neoplasias
proteína BRCA1
herencia multifactorial
funciones de verosimilitud
predisposición genética a la enfermedad
proteína BRCA2
FPGMX
IDIS
description The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772163/pdf/HUMU-40-1557.pdf
https://www.ncbi.nlm.nih.gov/pubmed/31131967
http://hdl.handle.net/20.500.11940/15792
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772163/pdf/HUMU-40-1557.pdf
https://www.ncbi.nlm.nih.gov/pubmed/31131967
http://hdl.handle.net/20.500.11940/15792
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:RUNA. Repositorio da Consellería de Sanidade e Sergas
instname:Servizo Galego de Saúde (SERGAS)
instname_str Servizo Galego de Saúde (SERGAS)
reponame_str RUNA. Repositorio da Consellería de Sanidade e Sergas
collection RUNA. Repositorio da Consellería de Sanidade e Sergas
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404626749489152
spelling Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classificationParsons, M. T.Tudini, E.Li, H.Hahnen, E.Wappenschmidt, B.Feliubadaló, L.Aalfs, C. M.Agata, S.Aittomäki, K.Alducci, E.Alonso-Cerezo, M. C.Arnold, N.Auber, B.Austin, R.Azzollini, J.Balmaña, J.Barbieri, E.Bartram, C. R.Blanco Pérez, AnaBlümcke, B.Bonache, S.Bonanni, B.Borg, ÅBortesi, B.Brunet, J.Bruzzone, C.Bucksch, K.Cagnoli, G.Caldés, T.Caliebe, A.Caligo, M. A.Calvello, M.Capone, G. L.Caputo, S. M.Carnevali, I.Carrasco, E.Caux-Moncoutier, V.Cavalli, P.Cini, G.Clarke, E. M.Concolino, P.Cops, E. J.Cortesi, L.Couch, F. J.Darder, E.de la Hoya, M.Dean, M.Debatin, I.Del Valle, J.Delnatte, C.Derive, N.Diez, O.Ditsch, N.Domchek, S. M.Dutrannoy, V.Eccles, D. M.Ehrencrona, H.Enders, U.Evans, D. G.Farra, C.Faust, U.Felbor, U.Feroce, I.Fine, M.Foulkes, W. D.Galvao, H. C. R.Gambino, G.Gehrig, A.Gensini, F.Gerdes, A. M.Germani, A.Giesecke, J.Gismondi, V.Gómez, C.Gómez Garcia, E. B.González, S.Grau, E.Grill, S.Gross, E.Guerrieri-Gonzaga, A.Guillaud-Bataille, M.Gutiérrez-Enríquez, S.Haaf, T.Hackmann, K.Hansen, T. V. O.Harris, M.Hauke, J.Heinrich, T.Hellebrand, H.Herold, K. N.Honisch, E.Horvath, J.Houdayer, C.Hübbel, V.Iglesias, S.Izquierdo, A.James, P. A.Janssen, L. A. M.Jeschke, U.Kaulfuß, S.Keupp, K.Kiechle, M.Kölbl, A.Krieger, S.Kruse, T. A.Kvist, A.Lalloo, F.Larsen, M.Lattimore, V. L.Lautrup, C.Ledig, S.Leinert, E.Lewis, A. L.Lim, J.Loeffler, M.López-Fernández, A.Lucci-Cordisco, E.Maass, N.Manoukian, S.Marabelli, M.Matricardi, L.Meindl, A.Michelli, R. D.Moghadasi, S.Moles-Fernández, A.Montagna, M.Montalban, G.Monteiro, A. N.Montes, E.Mori, L.Moserle, L.Müller, C. R.Mundhenke, C.Naldi, N.Nathanson, K. L.Navarro, M.Nevanlinna, H.Nichols, C. B.Niederacher, D.Nielsen, H. R.Ong, K. R.Pachter, N.Palmero, E. I.Papi, L.Pedersen, I. S.Peissel, B.Perez-Segura, P.Pfeifer, K.Pineda, M.Pohl-Rescigno, E.Poplawski, N. K.Porfirio, B.Quante, A. S.Ramser, J.Reis, R. M.Revillion, F.Rhiem, K.Riboli, B.Ritter, J.Rivera, D.Rofes, P.Rump, A.Salinas, M.Sánchez de Abajo, A. M.Schmidt, G.Schoenwiese, U.Seggewiß, J.Solanes, A.Steinemann, D.Stiller, M.Stoppa-Lyonnet, D.Sullivan, K. J.Susman, R.Sutter, C.Tavtigian, S. V.Teo, S. H.Teulé, A.Thomassen, M.Tibiletti, M. G.Tischkowitz, M.Tognazzo, S.Toland, A. E.Tornero, E.Törngren, T.Torres-Esquius, S.Toss, A.Trainer, A. H.Tucker, K. M.van Asperen, C. J.van Mackelenbergh, M. T.Varesco, L.Vargas-Parra, G.Varon, R.Vega, A.Velasco, ÁVesper, A. S.Viel, A.Vreeswijk, M. P. G.Wagner, S. A.Waha, A.Walker, L. C.Walters, R. J.Wang-Gohrke, S.Weber, B. H. F.Weichert, W.Wieland, K.Wiesmüller, L.Witzel, I.Wöckel, A.Woodward, E. R.Zachariae, S.Zampiga, V.Zeder-Göß, C.Investigators, K.Lázaro, C.De Nicolo, A.Radice, P.Engel, C.Schmutzler, R. K.Goldgar, D. E.Spurdle, A. B.MutationEarly Detection of CancerComputational BiologyAlternative SplicingLikelihood FunctionsHumansBRCA1 ProteinMultifactorial InheritanceBRCA2 ProteinGenetic Predisposition to DiseaseNeoplasmsbiología computacionalmutaciónhumanosempalme alternativodetección precoz del cáncerneoplasiasproteína BRCA1herencia multifactorialfunciones de verosimilitudpredisposición genética a la enfermedadproteína BRCA2FPGMXIDISThe multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification.2019info:eu-repo/semantics/articlehttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772163/pdf/HUMU-40-1557.pdfhttps://www.ncbi.nlm.nih.gov/pubmed/31131967http://hdl.handle.net/20.500.11940/15792reponame:RUNA. Repositorio da Consellería de Sanidade e Sergasinstname:Servizo Galego de Saúde (SERGAS)Ingléshttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:runa.sergas.gal:20.500.11940/157922026-06-12T08:40:47Z
score 15,300719