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182 results on '"Felbor, U."'

2. Evaluation einer transsektoralen digitalen Versorgungsplattform für Personen mit familiärem Krebsrisiko - dVP_FAM: ein Studienprotokoll

Author

Klein, K, Speiser, D, Thomas, P, Schüürhuis, S, Kowalski, C, Felbor, U, Amirpour-Mehrhof, N, Lotz, B, Stegen, S, Reinhold, T, Schmid, C, Mangum, T, Jungnickel, K, Feufel, MA, Kendel, F, Klein, K, Speiser, D, Thomas, P, Schüürhuis, S, Kowalski, C, Felbor, U, Amirpour-Mehrhof, N, Lotz, B, Stegen, S, Reinhold, T, Schmid, C, Mangum, T, Jungnickel, K, Feufel, MA, and Kendel, F

Published
2023

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

Author

Feroce I., 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., Teule A., Thomassen M., Tibiletti M.G., Tischkowitz M., Tognazzo S., Toland A.E., Tornero E., Torngren 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 A., 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., Wiesmuller L., Witzel I., Wockel A., Woodward E.R., Zachariae S., Zampiga V., Zeder-Goss C., Investigators K., Lazaro C., De Nicolo A., Radice P., Engel C., Schmutzler R.K., Goldgar D.E., Spurdle A.B., Harris M., Parsons M.T., Tudini E., Li H., Hahnen E., Wappenschmidt B., Feliubadalo L., Aalfs C.M., Agata S., Aittomaki K., Alducci E., Alonso-Cerezo M.C., Arnold N., Auber B., Austin R., Azzollini J., Balmana J., Barbieri E., Bartram C.R., Blanco A., Blumcke B., Bonache S., Bonanni B., Borg A., Bortesi B., Brunet J., Bruzzone C., Bucksch K., Cagnoli G., Caldes 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., Fine M., Foulkes W.D., Galvao H.C.R., Gambino G., Gehrig A., Gensini F., Gerdes A.-M., Germani A., Giesecke J., Gismondi V., Gomez C., Gomez Garcia E.B., Gonzalez S., Grau E., Grill S., Gross E., Guerrieri-Gonzaga A., Guillaud-Bataille M., Gutierrez-Enriquez S., Haaf T., Hackmann K., Hansen T.V.O., Hauke J., Heinrich T., Hellebrand H., Herold K.N., Honisch E., Horvath J., Houdayer C., Hubbel V., Iglesias S., Izquierdo A., James P.A., Janssen L.A.M., Jeschke U., Kaulfuss S., Keupp K., Kiechle M., Kolbl 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., Lopez-Fernandez A., Lucci-Cordisco E., Maass N., Manoukian S., Marabelli M., Matricardi L., Meindl A., Michelli R.D., Moghadasi S., Moles-Fernandez A., Montagna M., Montalban G., Monteiro A.N., Montes E., Mori L., Moserle L., Muller 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., Sanchez de Abajo A.M., Schmidt G., Feroce I., 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., Teule A., Thomassen M., Tibiletti M.G., Tischkowitz M., Tognazzo S., Toland A.E., Tornero E., Torngren 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 A., 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., Wiesmuller L., Witzel I., Wockel A., Woodward E.R., Zachariae S., Zampiga V., Zeder-Goss C., Investigators K., Lazaro C., De Nicolo A., Radice P., Engel C., Schmutzler R.K., Goldgar D.E., Spurdle A.B., Harris M., Parsons M.T., Tudini E., Li H., Hahnen E., Wappenschmidt B., Feliubadalo L., Aalfs C.M., Agata S., Aittomaki K., Alducci E., Alonso-Cerezo M.C., Arnold N., Auber B., Austin R., Azzollini J., Balmana J., Barbieri E., Bartram C.R., Blanco A., Blumcke B., Bonache S., Bonanni B., Borg A., Bortesi B., Brunet J., Bruzzone C., Bucksch K., Cagnoli G., Caldes 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., Fine M., Foulkes W.D., Galvao H.C.R., Gambino G., Gehrig A., Gensini F., Gerdes A.-M., Germani A., Giesecke J., Gismondi V., Gomez C., Gomez Garcia E.B., Gonzalez S., Grau E., Grill S., Gross E., Guerrieri-Gonzaga A., Guillaud-Bataille M., Gutierrez-Enriquez S., Haaf T., Hackmann K., Hansen T.V.O., Hauke J., Heinrich T., Hellebrand H., Herold K.N., Honisch E., Horvath J., Houdayer C., Hubbel V., Iglesias S., Izquierdo A., James P.A., Janssen L.A.M., Jeschke U., Kaulfuss S., Keupp K., Kiechle M., Kolbl 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., Lopez-Fernandez A., Lucci-Cordisco E., Maass N., Manoukian S., Marabelli M., Matricardi L., Meindl A., Michelli R.D., Moghadasi S., Moles-Fernandez A., Montagna M., Montalban G., Monteiro A.N., Montes E., Mori L., Moserle L., Muller 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., Sanchez de Abajo A.M., and Schmidt G.

Abstract

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.Copyright © 2019 Wiley Periodicals, Inc.

Published
2019

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

Author

Parsons, MT, Tudini, E, Li, H, Hahnen, E, Wappenschmidt, B, Feliubadalo, L, Aalfs, CM, Agata, S, Aittomaki, K, Alducci, E, Concepcion Alonso-Cerezo, M, Arnold, N, Auber, B, Austin, R, Azzollini, J, Balmana, J, Barbieri, E, Bartram, CR, Blanco, A, Bluemcke, B, Bonache, S, Bonanni, B, Borg, A, Bortesi, B, Brunet, J, Bruzzone, C, Bucksch, K, Cagnoli, G, Caldes, T, Caliebe, A, Caligo, MA, Calvello, M, Capone, GL, Caputo, SM, Carnevali, I, Carrasco, E, Caux-Moncoutier, V, Cavalli, P, Cini, G, Clarke, EM, Concolino, P, Cops, EJ, Cortesi, L, Couch, FJ, Darder, E, de la Hoya, M, Dean, M, Debatin, I, Del Valle, J, Delnatte, C, Derive, N, Diez, O, Ditsch, N, Domchek, SM, Dutrannoy, V, Eccles, DM, Ehrencrona, H, Enders, U, Evans, DG, Farra, C, Faust, U, Felbor, U, Feroce, I, Fine, M, Foulkes, WD, Galvao, HC, Gambino, G, Gehrig, A, Gensini, F, Gerdes, A-M, Germani, A, Giesecke, J, Gismondi, V, Gomez, C, Garcia, EBG, Gonzalez, S, Grau, E, Grill, S, Gross, E, Guerrieri-Gonzaga, A, Guillaud-Bataille, M, Gutierrez-Enriquez, S, Haaf, T, Hackmann, K, Hansen, TV, Harris, M, Hauke, J, Heinrich, T, Hellebrand, H, Herold, KN, Honisch, E, Horvath, J, Houdayer, C, Huebbel, V, Iglesias, S, Izquierdo, A, James, PA, Janssen, LA, Jeschke, U, Kaulfuss, S, Keupp, K, Kiechle, M, Koelbl, A, Krieger, S, Kruse, TA, Kvist, A, Lalloo, F, Larsen, M, Lattimore, VL, Lautrup, C, Ledig, S, Leinert, E, Lewis, AL, Lim, J, Loeffler, M, Lopez-Fernandez, A, Lucci-Cordisco, E, Maass, N, Manoukian, S, Marabelli, M, Matricardi, L, Meindl, A, Michelli, RD, Moghadasi, S, Moles-Fernandez, A, Montagna, M, Montalban, G, Monteiro, AN, Montes, E, Mori, L, Moserle, L, Mueller, CR, Mundhenke, C, Naldi, N, Nathanson, KL, Navarro, M, Nevanlinna, H, Nichols, CB, Niederacher, D, Nielsen, HR, Ong, K-R, Pachter, N, Palmero, E, Papi, L, Pedersen, IS, Peissel, B, Perez-Segura, P, Pfeifer, K, Pineda, M, Pohl-Rescigno, E, Poplawski, NK, Porfirio, B, Quante, AS, Ramser, J, Reis, RM, Revillion, F, Rhiem, K, Riboli, B, Ritter, J, Rivera, D, Rofes, P, Rump, A, Salinas, M, Sanchez de Abajo, AM, Schmidt, G, Schoenwiese, U, Seggewiss, J, Solanes, A, Steinemann, D, Stiller, M, Stoppa-Lyonnet, D, Sullivan, KJ, Susman, R, Sutter, C, Tavtigian, S, Teo, SH, Teule, A, Thomassen, M, Tibiletti, MG, Tischkowitz, M, Tognazzo, S, Toland, AE, Tornero, E, Torngren, T, Torres-Esquius, S, Toss, A, Trainer, AH, Tucker, KM, van Asperen, CJ, van Mackelenbergh, MT, Varesco, L, Vargas-Parra, G, Varon, R, Vega, A, Velasco, A, Vesper, A-S, Viel, A, Vreeswijk, MPG, Wagner, SA, Waha, A, Walker, LC, Walters, RJ, Wang-Gohrke, S, Weber, BHF, Weichert, W, Wieland, K, Wiesmueller, L, Witzel, I, Woeckel, A, Woodward, ER, Zachariae, S, Zampiga, V, Zeder-Goss, C, Lazaro, C, De Nicolo, A, Radice, P, Engel, C, Schmutzler, RK, Goldgar, DE, Spurdle, AB, Parsons, MT, Tudini, E, Li, H, Hahnen, E, Wappenschmidt, B, Feliubadalo, L, Aalfs, CM, Agata, S, Aittomaki, K, Alducci, E, Concepcion Alonso-Cerezo, M, Arnold, N, Auber, B, Austin, R, Azzollini, J, Balmana, J, Barbieri, E, Bartram, CR, Blanco, A, Bluemcke, B, Bonache, S, Bonanni, B, Borg, A, Bortesi, B, Brunet, J, Bruzzone, C, Bucksch, K, Cagnoli, G, Caldes, T, Caliebe, A, Caligo, MA, Calvello, M, Capone, GL, Caputo, SM, Carnevali, I, Carrasco, E, Caux-Moncoutier, V, Cavalli, P, Cini, G, Clarke, EM, Concolino, P, Cops, EJ, Cortesi, L, Couch, FJ, Darder, E, de la Hoya, M, Dean, M, Debatin, I, Del Valle, J, Delnatte, C, Derive, N, Diez, O, Ditsch, N, Domchek, SM, Dutrannoy, V, Eccles, DM, Ehrencrona, H, Enders, U, Evans, DG, Farra, C, Faust, U, Felbor, U, Feroce, I, Fine, M, Foulkes, WD, Galvao, HC, Gambino, G, Gehrig, A, Gensini, F, Gerdes, A-M, Germani, A, Giesecke, J, Gismondi, V, Gomez, C, Garcia, EBG, Gonzalez, S, Grau, E, Grill, S, Gross, E, Guerrieri-Gonzaga, A, Guillaud-Bataille, M, Gutierrez-Enriquez, S, Haaf, T, Hackmann, K, Hansen, TV, Harris, M, Hauke, J, Heinrich, T, Hellebrand, H, Herold, KN, Honisch, E, Horvath, J, Houdayer, C, Huebbel, V, Iglesias, S, Izquierdo, A, James, PA, Janssen, LA, Jeschke, U, Kaulfuss, S, Keupp, K, Kiechle, M, Koelbl, A, Krieger, S, Kruse, TA, Kvist, A, Lalloo, F, Larsen, M, Lattimore, VL, Lautrup, C, Ledig, S, Leinert, E, Lewis, AL, Lim, J, Loeffler, M, Lopez-Fernandez, A, Lucci-Cordisco, E, Maass, N, Manoukian, S, Marabelli, M, Matricardi, L, Meindl, A, Michelli, RD, Moghadasi, S, Moles-Fernandez, A, Montagna, M, Montalban, G, Monteiro, AN, Montes, E, Mori, L, Moserle, L, Mueller, CR, Mundhenke, C, Naldi, N, Nathanson, KL, Navarro, M, Nevanlinna, H, Nichols, CB, Niederacher, D, Nielsen, HR, Ong, K-R, Pachter, N, Palmero, E, Papi, L, Pedersen, IS, Peissel, B, Perez-Segura, P, Pfeifer, K, Pineda, M, Pohl-Rescigno, E, Poplawski, NK, Porfirio, B, Quante, AS, Ramser, J, Reis, RM, Revillion, F, Rhiem, K, Riboli, B, Ritter, J, Rivera, D, Rofes, P, Rump, A, Salinas, M, Sanchez de Abajo, AM, Schmidt, G, Schoenwiese, U, Seggewiss, J, Solanes, A, Steinemann, D, Stiller, M, Stoppa-Lyonnet, D, Sullivan, KJ, Susman, R, Sutter, C, Tavtigian, S, Teo, SH, Teule, A, Thomassen, M, Tibiletti, MG, Tischkowitz, M, Tognazzo, S, Toland, AE, Tornero, E, Torngren, T, Torres-Esquius, S, Toss, A, Trainer, AH, Tucker, KM, van Asperen, CJ, van Mackelenbergh, MT, Varesco, L, Vargas-Parra, G, Varon, R, Vega, A, Velasco, A, Vesper, A-S, Viel, A, Vreeswijk, MPG, Wagner, SA, Waha, A, Walker, LC, Walters, RJ, Wang-Gohrke, S, Weber, BHF, Weichert, W, Wieland, K, Wiesmueller, L, Witzel, I, Woeckel, A, Woodward, ER, Zachariae, S, Zampiga, V, Zeder-Goss, C, Lazaro, C, De Nicolo, A, Radice, P, Engel, C, Schmutzler, RK, Goldgar, DE, and Spurdle, AB

Abstract

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.

Published
2019

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

Author

Parsons, M. T., Tudini, E., Li, H., Hahnen, E., Wappenschmidt, B., Feliubadalo, L., Aalfs, C. M., Agata, S., Aittomaki, K., Alducci, E., Alonso-Cerezo, M. C., Arnold, N., Auber, B., Austin, R., Azzollini, J., Balmana, J., Barbieri, E., Bartram, C. R., Blanco, A., Blumcke, B., Bonache, S., Bonanni, B., Borg, A., Bortesi, B., Brunet, J., Bruzzone, C., Bucksch, K., Cagnoli, G., Caldes, 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, Paola, 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., Gomez, C., Gomez Garcia, E. B., Gonzalez, S., Grau, E., Grill, S., Gross, E., Guerrieri-Gonzaga, A., Guillaud-Bataille, M., Gutierrez-Enriquez, 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., Hubbel, V., Iglesias, S., Izquierdo, A., James, P. A., Janssen, L. A. M., Jeschke, U., Kaulfuss, S., Keupp, K., Kiechle, M., Kolbl, 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., Lopez-Fernandez, A., Lucci Cordisco, Emanuela, Maass, N., Manoukian, S., Marabelli, M., Matricardi, L., Meindl, A., Michelli, R. D., Moghadasi, S., Moles-Fernandez, A., Montagna, M., Montalban, G., Monteiro, A. N., Montes, E., Mori, L., Moserle, L., Muller, 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., Sanchez 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., Teule, A., Thomassen, M., Tibiletti, M. G., Tischkowitz, M., Tognazzo, S., Toland, A. E., Tornero, E., Torngren, 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, A., 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., Wiesmuller, L., Witzel, I., Wockel, A., Woodward, E. R., Zachariae, S., Zampiga, V., Zeder-Goss, C., Investigators, K., Lazaro, C., De Nicolo, A., Radice, P., Engel, C., Schmutzler, R. K., Goldgar, D. E., Spurdle, A. B., Concolino P., Lucci Cordisco E. (ORCID:0000-0002-6279-7604), Parsons, M. T., Tudini, E., Li, H., Hahnen, E., Wappenschmidt, B., Feliubadalo, L., Aalfs, C. M., Agata, S., Aittomaki, K., Alducci, E., Alonso-Cerezo, M. C., Arnold, N., Auber, B., Austin, R., Azzollini, J., Balmana, J., Barbieri, E., Bartram, C. R., Blanco, A., Blumcke, B., Bonache, S., Bonanni, B., Borg, A., Bortesi, B., Brunet, J., Bruzzone, C., Bucksch, K., Cagnoli, G., Caldes, 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, Paola, 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., Gomez, C., Gomez Garcia, E. B., Gonzalez, S., Grau, E., Grill, S., Gross, E., Guerrieri-Gonzaga, A., Guillaud-Bataille, M., Gutierrez-Enriquez, 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., Hubbel, V., Iglesias, S., Izquierdo, A., James, P. A., Janssen, L. A. M., Jeschke, U., Kaulfuss, S., Keupp, K., Kiechle, M., Kolbl, 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., Lopez-Fernandez, A., Lucci Cordisco, Emanuela, Maass, N., Manoukian, S., Marabelli, M., Matricardi, L., Meindl, A., Michelli, R. D., Moghadasi, S., Moles-Fernandez, A., Montagna, M., Montalban, G., Monteiro, A. N., Montes, E., Mori, L., Moserle, L., Muller, 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., Sanchez 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., Teule, A., Thomassen, M., Tibiletti, M. G., Tischkowitz, M., Tognazzo, S., Toland, A. E., Tornero, E., Torngren, 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, A., 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., Wiesmuller, L., Witzel, I., Wockel, A., Woodward, E. R., Zachariae, S., Zampiga, V., Zeder-Goss, C., Investigators, K., Lazaro, C., De Nicolo, A., Radice, P., Engel, C., Schmutzler, R. K., Goldgar, D. E., Spurdle, A. B., Concolino P., and Lucci Cordisco E. (ORCID:0000-0002-6279-7604)

Abstract

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.

Published
2019

14. Genetik zerebraler kavernöser Gefäßmalformationen

Author

Felbor U

Subjects
medicine.medical_specialty, Pathology, business.industry, Molecular genetics, Vascular malformation, medicine, General Medicine, medicine.disease, business, Cerebral cavernous malformations
Published
2007

17. FAM222B Is Not a Likely Novel Candidate Gene for Cerebral Cavernous Malformations

Author

Spiegler, S., Kirchmaier, B., Rath, M., Korenke, G.C., Tetzlaff, F., van de Vorst, M., Neveling, K., Acker-Palmer, A., Kuss, A.W., Gilissen, C., Fischer, A., Schulte-Merker, S., Felbor, U., Spiegler, S., Kirchmaier, B., Rath, M., Korenke, G.C., Tetzlaff, F., van de Vorst, M., Neveling, K., Acker-Palmer, A., Kuss, A.W., Gilissen, C., Fischer, A., Schulte-Merker, S., and Felbor, U.

Abstract

Contains fulltext : 172531.pdf (publisher's version ) (Closed access), Cerebral cavernous malformations (CCMs) are prevalent slow-flow vascular lesions which harbour the risk to develop intracranial haemorrhages, focal neurological deficits, and epileptic seizures. Autosomal dominantly inherited CCMs were found to be associated with heterozygous inactivating mutations in 3 genes, CCM1 (KRIT1), CCM2 (MGC4607), and CCM3 (PDCD10) in 1999, 2003 and 2005, respectively. Despite the availability of high-throughput sequencing techniques, no further CCM gene has been published since. Here, we report on the identification of an autosomal dominantly inherited frameshift mutation in a gene of thus far unknown function, FAM222B (C17orf63), through exome sequencing of CCM patients mutation-negative for CCM1-3. A yeast 2-hybrid screen revealed interactions of FAM222B with the tubulin cytoskeleton and STAMBP which is known to be associated with microcephaly-capillary malformation syndrome. However, a phenotype similar to existing models was not found, neither in fam222bb/fam222ba double mutant zebrafish generated by transcription activator-like effector nucleases nor in an in vitro sprouting assay using human umbilical vein endothelial cells transfected with siRNA against FAM222B. These observations led to the assumption that aberrant FAM222B is not involved in the formation of CCMs.

Published
2016

18. BOD1 Is Required for Cognitive Function in Humans and Drosophila

Author

Esmaeeli-Nieh, S., Fenckova, M., Porter, I.M., Motazacker, M.M., Nijhof, B., Castells-Nobau, A., Asztalos, Z., Weissmann, R., Behjati, F., Tzschach, A., Felbor, U., Scherthan, H., Sayfati, S.M., Ropers, H.H., Kahrizi, K., Najmabadi, H., Swedlow, J.R., Schenck, A., Kuss, A.W., Esmaeeli-Nieh, S., Fenckova, M., Porter, I.M., Motazacker, M.M., Nijhof, B., Castells-Nobau, A., Asztalos, Z., Weissmann, R., Behjati, F., Tzschach, A., Felbor, U., Scherthan, H., Sayfati, S.M., Ropers, H.H., Kahrizi, K., Najmabadi, H., Swedlow, J.R., Schenck, A., and Kuss, A.W.

Abstract

Contains fulltext : 168322.PDF (publisher's version ) (Open Access), Here we report a stop-mutation in the BOD1 (Biorientation Defective 1) gene, which co-segregates with intellectual disability in a large consanguineous family, where individuals that are homozygous for the mutation have no detectable BOD1 mRNA or protein. The BOD1 protein is required for proper chromosome segregation, regulating phosphorylation of PLK1 substrates by modulating Protein Phosphatase 2A (PP2A) activity during mitosis. We report that fibroblast cell lines derived from homozygous BOD1 mutation carriers show aberrant localisation of the cell cycle kinase PLK1 and its phosphatase PP2A at mitotic kinetochores. However, in contrast to the mitotic arrest observed in BOD1-siRNA treated HeLa cells, patient-derived cells progressed through mitosis with no apparent segregation defects but at an accelerated rate compared to controls. The relatively normal cell cycle progression observed in cultured cells is in line with the absence of gross structural brain abnormalities in the affected individuals. Moreover, we found that in normal adult brain tissues BOD1 expression is maintained at considerable levels, in contrast to PLK1 expression, and provide evidence for synaptic localization of Bod1 in murine neurons. These observations suggest that BOD1 plays a cell cycle-independent role in the nervous system. To address this possibility, we established two Drosophila models, where neuron-specific knockdown of BOD1 caused pronounced learning deficits and significant abnormalities in synapse morphology. Together our results reveal novel postmitotic functions of BOD1 as well as pathogenic mechanisms that strongly support a causative role of BOD1 deficiency in the aetiology of intellectual disability. Moreover, by demonstrating its requirement for cognitive function in humans and Drosophila we provide evidence for a conserved role of BOD1 in the development and maintenance of cognitive features.

Published
2016

19. Supplementary Material for: FAM222B Is Not a Likely Novel Candidate Gene for Cerebral Cavernous Malformations

Author

Spiegler S., Kirchmaier B., Rath M., Korenke G.C., Tetzlaff F., van de Vorst M., Neveling K., Acker-Palmer A., Kuss A.W., Gilissen C., Fischer A., Schulte-Merker S., Felbor U., Spiegler S., Kirchmaier B., Rath M., Korenke G.C., Tetzlaff F., van de Vorst M., Neveling K., Acker-Palmer A., Kuss A.W., Gilissen C., Fischer A., Schulte-Merker S., and Felbor U.

Abstract

Cerebral cavernous malformations (CCMs) are prevalent slow-flow vascular lesions which harbour the risk to develop intracranial haemorrhages, focal neurological deficits, and epileptic seizures. Autosomal dominantly inherited CCMs were found to be associated with heterozygous inactivating mutations in 3 genes, CCM1(KRIT1), CCM2(MGC4607), and CCM3(PDCD10) in 1999, 2003 and 2005, respectively. Despite the availability of high-throughput sequencing techniques, no further CCM gene has been published since. Here, we report on the identification of an autosomal dominantly inherited frameshift mutation in a gene of thus far unknown function, FAM222B(C17orf63), through exome sequencing of CCM patients mutation-negative for CCM1-3. A yeast 2-hybrid screen revealed interactions of FAM222B with the tubulin cytoskeleton and STAMBP which is known to be associated with microcephaly-capillary malformation syndrome. However, a phenotype similar to existing models was not found, neither in fam222bb/fam222ba double mutant zebrafish generated by transcription activator-like effector nucleases nor in an in vitro sprouting assay using human umbilical vein endothelial cells transfected with siRNA against FAM222B. These observations led to the assumption that aberrant FAM222B is not involved in the formation of CCMs.

Published
2016
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21. Loss of CCM3 activated angiogenesis through impairing endothelial Dll4-Notch signalling: implication in familial cerebral cavernous malformation

Author

Zhu, Y, You, C, Sandalcioglu, IE, Felbor, U, and Sure, U

Subjects
ddc: 610, CCM3 gene, Cavernous malformation, 610 Medical sciences, Medicine, Dll4-Notch signaling
Abstract

Objective: Germline mutations in CCM1, CCM2 or CCM3 genes have been frequently detected in familial cerebral cavernous malformations (CCMs). Numerous studies have demonstrated that loss of any of three CCM genes leads to aberrant angiogenesis and to CCMs. However, the underlying signalling pathways [for full text, please go to the a.m. URL], 64. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)

Published
2013
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25. Genetik zerebraler Kavernome

Author

Sure, U, Sürücü, O, Bertalanffy, H, and Felbor, U

Subjects
ddc: 610, genetics, mutation, CCM1, cavernoma, CCM3, CCM2
Published
2006

27. Functional analyses of human and zebrafish 18-amino acid in-frame deletion pave the way for domain mapping of the cerebral cavernous malformation 3 protein

Author

Voss, K., Stahl, S., Hogan, B.M., Reinders, J., Schleider, E., Schulte-Merker, S., Felbor, U., Voss, K., Stahl, S., Hogan, B.M., Reinders, J., Schleider, E., Schulte-Merker, S., and Felbor, U.

Abstract

Cerebral cavernous malformations (CCMs) may cause recurrent headaches, seizures, and hemorrhagic stroke and have been associated with loss-of-function mutations in CCM1/KRIT1, CCM2, and CCM3/programmed cell death 10 (PDCD10). The CCM3/PDCD10 amino acid sequence does not reveal significant homologies to protein domains with known structure. With the help of the only published human in-frame deletion of the CCM3 gene (c.97-?_150+?del), CCM3:p.L33_K50del, we have identified the interaction domain of CCM3 with the oxidant stress response serine/threonine kinase 25 (STK25, YSK1, SOK1) and with the mammalian Ste20-like kinase 4 (MST4, MASK). Consistently, nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS) analyses revealed two STK25 phosphorylation sites at serine 39 and threonine 43. The corresponding in-frame deletion of zebrafish ccm3a, dccm3:p.L31_K48del, also resulted in impaired interaction with STK25 and MST4. In agreement with the observed redundant biochemical functionality of zebrafish ccm3a and its duplicate ccm3b, simultaneous inactivation of both genes resulted in a progressive cardiovascular phenotype in zebrafish indistinguishable from ccm1 and ccm2 mutants. The pronounced cardiovascular dilatations could be recapitulated by morpholino-induced in-frame skipping of the exon encoding the STK25 and MST4 binding site of zebrafish Ccm3a if Ccm3b was repressed in parallel. Using a novel zebrafish model of CCM, we could thus demonstrate that the newly mapped STK25 and MST4 interaction domain within the CCM3 protein plays a crucial role for vascular development in zebrafish., Cerebral cavernous malformations (CCMs) may cause recurrent headaches, seizures, and hemorrhagic stroke and have been associated with loss-of-function mutations in CCM1/KRIT1, CCM2, and CCM3/programmed cell death 10 (PDCD10). The CCM3/PDCD10 amino acid sequence does not reveal significant homologies to protein domains with known structure. With the help of the only published human in-frame deletion of the CCM3 gene (c.97-?_150+?del), CCM3:p.L33_K50del, we have identified the interaction domain of CCM3 with the oxidant stress response serine/threonine kinase 25 (STK25, YSK1, SOK1) and with the mammalian Ste20-like kinase 4 (MST4, MASK). Consistently, nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS) analyses revealed two STK25 phosphorylation sites at serine 39 and threonine 43. The corresponding in-frame deletion of zebrafish ccm3a, dccm3:p.L31_K48del, also resulted in impaired interaction with STK25 and MST4. In agreement with the observed redundant biochemical functionality of zebrafish ccm3a and its duplicate ccm3b, simultaneous inactivation of both genes resulted in a progressive cardiovascular phenotype in zebrafish indistinguishable from ccm1 and ccm2 mutants. The pronounced cardiovascular dilatations could be recapitulated by morpholino-induced in-frame skipping of the exon encoding the STK25 and MST4 binding site of zebrafish Ccm3a if Ccm3b was repressed in parallel. Using a novel zebrafish model of CCM, we could thus demonstrate that the newly mapped STK25 and MST4 interaction domain within the CCM3 protein plays a crucial role for vascular development in zebrafish.

Published
2009

29. Genetics of cerebral cavernomas

Author

Sure, U, Sürücü, O, Bertalanffy, H, Felbor, U, Sure, U, Sürücü, O, Bertalanffy, H, and Felbor, U

Published
2006

44. Mosaicism for an ectopic NOR at 8pter and a complex rearrangement of chromosome 8 in a patient with severe psychomotor retardation.

Author

Felbor, U., Knötgen, N., Schams, G., Buwe, A., Steinlein, C., and Schmid, M.

Subjects
*GENETICS, *CHROMOSOMES, *MOSAICISM, *CYTOLOGY, *TRISOMY, *CHROMOSOME abnormalities
Abstract

We describe a 3-year-old girl with severe delays in mental and motor skills, a history of generalized seizures, and subtle dysmorphic features. Conventional cytogenetics revealed a mosaic karyotype. A de novo ectopic NOR at the telomeric region of the short arm of one chromosome 8 (8ps) was found in 90% of lymphocyte and in 98% of fibroblast metaphases. A small NOR-bearing marker chromosome and a large derivative chromosome 8 without short arm satellites (der(8)) were present in the remaining cells. FISH with a probe specific for centromeres 14 and 22 labeled both the telomeric region of 8ps and the small marker centromere. Der(8) included an inverted duplication of 8p and a rearranged duplication of 8q but lacked a second centromere. A subtelomeric probe for 8p revealed a cryptic deletion in 8ps and der(8). Thus, the karyotype represents a combination of submicroscopic partial monosomy 8pter and mosaic trisomy 8. Copyright © 2004 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Published
2004
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45. Genomic organization and chromosomal localization of the interphotoreceptor matrix proteoglycan-1 (IMPG1) gene: a candidate for 6q-linked retinopathies.

Author

Felbor, U., Gehrig, A., Sauer, C.G., Marquardt, A., Kähler, M., Schmid, M., and Weber, B.H.F.

Subjects
*INTERPHOTORECEPTOR matrix, *GENE mapping, *PHOTORECEPTORS, *PROTEOGLYCANS, *FLUORESCENCE in situ hybridization, *RETINAL degeneration, *EXTRACELLULAR matrix
Abstract

The interphotoreceptor matrix is a unique extracellular matrix occupying the space between the photoreceptors and the retinal pigment epithelium. Due to its putative function in the maintenance and integrity of the photoreceptor cells, it is conceivable that it is involved in retinal degeneration processes. More recently, a novel gene encoding a 150-kDa interphotoreceptor matrix proteoglycan, designated IMPG1, was cloned and shown to be expressed in both rod and cone photoreceptor cells. To assess this gene in human retinal dystrophies, we have now determined the genomic organization and chro- mosome location of IMPG1. It is composed of 17 exons ranging from 21 to 533 bp, including an alternatively spliced exon 2. Using somatic cell hybrid mapping and FISH analysis, we have assigned the IMPG1 locus to 6q13→q15. As this interval overlaps with the chromosomal loci of several human retinopathies, including autosomal dominant Stargardt-like macular dystrophy (STGD3), progressive bifocal chorioretinal atrophy (PBCRA), and North Carolina macular dystrophy (MCDR1), IMPG1 represents an attractive candidate for these 6q-linked disorders. [ABSTRACT FROM AUTHOR]

Published
1998
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48. Evaluation of the gene encoding the tissue inhibitor of metalloproteinases-3 in various maculopathies

Author

Felbor, U., Doepner, D., Schneider, U., Zrenner, E., and Weber, Bernhard H. F.

Subjects
Aged, 80 and over, Tissue Inhibitor of Metalloproteinase-3, ddc:610, Base Sequence, genetic structures, Molecular Sequence Data, 610 Medizin, Proteins, Middle Aged, Polymerase Chain Reaction, eye diseases, Gene Frequency, Genes, Retinal Diseases, Mutation, Humans, Macula Lutea, sense organs, Alleles, Polymorphism, Single-Stranded Conformational, Aged
Abstract

Purpose. Mutations in the gene encoding the tissue inhibitor of metalloproteinases-3 (TIMP3) have been shown previously to cause Sorsby's fundus dystrophy, an autosomal-dominant disorder characterized by extracellular matrix irregularities in Bruch's membrane. To assess the involvement of TIMP3 in a variety of other macular dystrophies, the authors have screened this gene for disease-causing mutations in age-related macular degeneration (AMD), adult vitelliform macular dystrophy (AVMD), central areolar choroidal dystrophy (CACD), syndrome-associated macular dystrophies, cone-rod dystrophy, and a group with unspecified macular degeneration. Methods. Single-stranded conformational analysis of the entire coding region was performed using the polymerase chain reaction and oligonucleotide primers flanking the five exons of the TIMP3 gene as well as the putative promotor region and a highly conserved fragment of the 3'-untranslated region. The authors analyzed a total of 217 patients, including 143 patients with AMD, 28 patients with AVMD, 21 patients with CACD, and 25 patients with other forms of macular dystrophy. Results. In the 217 patients analyzed, the authors have identified one sequence alteration (a G-to-C base change) in the 5'-untranslated region in a patient with AMD. However, the functional consequences of this mutation are not clear. No other disease-causing mutations were found. The authors have characterized a frequent intragenic polymorphism in exon 3 of the TIMP3 gene (heterozygosity = 0.57) that will be useful for genetic linkage or allele sharing analyses or both. Conclusions. The authors' results suggest that TIMP3 is not a major factor in the cause of AMD, AVMD, and CACD. Thus far, Sorsby's fundus dystrophy appears to be the only phenotype known to be associated with mutations in TIMP3.

49. Autosomal recessive Sorsby fundus dystrophy revisited: molecular evidence for dominant inheritance

Author

Felbor U, Ea, Suvanto, Hr, Forsius, Aw, Eriksson, and Bernhard H.F. Weber

Subjects
Adult, Male, Tissue Inhibitor of Metalloproteinase-3, Fundus Oculi, DNA Mutational Analysis, Proteins, Genes, Recessive, Pedigree, Consanguinity, Macular Degeneration, Haplotypes, Humans, Point Mutation, Female, Age of Onset, Finland, Polymorphism, Single-Stranded Conformational, Follow-Up Studies, Genes, Dominant, Research Article
Abstract

Sorsby fundus dystrophy (SFD) originally was characterized as an autosomal dominant disorder in which patients lose central vision during the 4th or 5th decade of life. Since Sorsby's initial description, interfamilial phenotypic variations have been noted and have given rise to controversy as to whether SFD constitutes more than one nosologic entity. In addition, several reports have proposed the existence of a recessively inherited form of SFD. The recent identification of the tissue inhibitor of metalloproteinases-3 (TIMP3) as the disease-causing gene in SFD has made it possible to address the questions of clinical and genetic heterogeneity. In this study, we reinvestigated a large, highly consanguineous Finnish family previously diagnosed as having early-onset autosomal recessive SFD. We identified a novel heterozygous Gly166Cys mutation in TIMP3 in all affected individuals and provide strong evidence for an autosomal dominant inheritance of the SFD phenotype in this family. Our results, in conjunction with a critical review of the reported cases, render the existence of a recessive mode of inheritance in SFD questionable. Considering all available data, we suggest that SFD is a genetically homogeneous, autosomal dominant condition.

50. Aggregates of nonmuscular myosin IIA in erythrocytes associate with GATA1- and GFI1B-related thrombocytopenia.

Author

Zaninetti C, Rivera J, Vater L, Ohlenforst S, Leinøe E, Böckelmann D, Freson K, Thiele T, Makhloufi H, Rath M, Eberl W, Wolff M, Freyer C, Wesche J, Zieger B, Felbor U, Heidel FH, and Greinacher A

Subjects
Humans, Blood Platelets metabolism, Erythrocytes, Anemia, GATA1 Transcription Factor genetics, GATA1 Transcription Factor metabolism, Nonmuscle Myosin Type IIA, Proto-Oncogene Proteins genetics, Repressor Proteins genetics, Thrombocytopenia
Abstract

Background: The transcription factor GATA1 is an essential regulator of erythroid cell gene expression and maturation and is also relevant for platelet biogenesis. GATA1-related thrombocytopenia (GATA1-RT) is a rare X-linked inherited platelet disorder (IPD) characterized by macrothrombocytopenia and dyserythropoiesis. Enlarged platelet size, reduced platelet granularity, and noticeable red blood cell anisopoikilocytosis are characteristic but unspecific morphological findings in GATA1-RT., Objectives: To expand the investigation of platelet phenotype of patients with GATA1-RT by light- and immunofluorescence microscopy on a blood smear., Methods: We assessed blood smears by light- and immunofluorescence microscopy after May-Grünwald Giemsa staining using a set of 13 primary antibodies against markers belonging to different platelet structures. Antibody binding was visualized by fluorescently labeled secondary antibodies., Results: We investigated 12 individuals with genetically confirmed GATA1-RT from 8 unrelated families. While confirming the already known characteristic of platelet morphology (platelet macrocytosis and reduced expression of markers for α-granules), we also found aggregates of nonmuscular myosin heavy chain II A (NMMIIA) in the erythrocytes in all individuals (1-3 aggregates/cell, 1-3 μm diameter). By systematically reanalyzing blood smears from a cohort of patients with 19 different forms of IPD, we found similar NMMIIA aggregates in the red blood cells only in subjects with GFI1B-related thrombocytopenia (GFI1B-RT), the other major IPD featured by dyserythropoiesis., Conclusion: Aggregates of NMMIIA in the erythrocytes associate with GATA1-RT and GFI1B-RT and can facilitate their diagnosis on blood smears. This previously unreported finding might represent a novel marker of dyserythropoiesis assessable in peripheral blood., Competing Interests: Declaration of competing interests The authors state that they have no conflict of interest related to the work presented in this manuscript., (Copyright © 2023 International Society on Thrombosis and Haemostasis. Published by Elsevier Inc. All rights reserved.)

Published
2024
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