A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: Application to BRCA1 and BRCA2
- Zanti, M.
- O'Mahony, D.G.
- Parsons, M.T.
- Li, H.
- Dennis, J.
- Aittomäkkiki, K.
- Andrulis, I.L.
- Anton-Culver, H.
- Aronson, K.J.
- Augustinsson, A.
- Becher, H.
- Bojesen, S.E.
- Bolla, M.K.
- Brenner, H.
- Brown, M.A.
- Buys, S.S.
- Canzian, F.
- Caputo, S.M.
- Castelao, J.E.
- Chang-Claude, J.
- Czene, K.
- Daly, M.B.
- De Nicolo, A.
- Devilee, P.
- Dörk, T.
- Dunning, A.M.
- Dwek, M.
- Eccles, D.M.
- Engel, C.
- Gareth Evans, D.
- Fasching, P.A.
- Gago-Dominguez, M.
- García-Closas, M.
- García-Sáenz, J.A.
- Gentry-Maharaj, A.
- Geurts-Giele, W.R.R.
- Giles, G.G.
- Glendon, G.
- Goldberg, M.S.
- Gómez Garcia, E.B.
- Göendert, M.
- Guénel, P.
- Hahnen, E.
- Haiman, C.A.
- Hall, P.
- Hamann, U.
- Harkness, E.F.
- Hogervorst, F.B.L.
- Hollestelle, A.
- Hoppe, R.
- Hopper, J.L.
- Houdayer, C.
- Houlston, R.S.
- Howell, A.
- Jakimovska, M.
- Jakubowska, A.
- Jernström, H.
- John, E.M.
- Kaaks, R.
- Kitahara, C.M.
- Koutros, S.
- Kraft, P.
- Kristensen, V.N.
- Lacey, J.V.
- Lambrechts, D.
- Léoné, M.
- Lindblom, A.
- Lubiski, J.
- Lush, M.
- Mannermaa, A.
- Manoochehri, M.
- Manoukian, S.
- Margolin, S.
- Martinez, M.E.
- Menon, U.
- Milne, R.L.
- Monteiro, A.N.
- Murphy, R.A.
- Neuhausen, S.L.
- Nevanlinna, H.
- Newman, W.G.
- Offit, K.
- Park, S.K.
- James, P.
- Peterlongo, P.
- Peto, J.
- Plaseska-Karanfilska, D.
- Punie, K.
- Radice, P.
- Rashid, M.U.
- Rennert, G.
- Romero, A.
- Rosenberg, E.H.
- Saloustros, E.
- Sandler, D.P.
- Schmidt, M.K.
- Schmutzler, R.K.
- Shu, X.-O.
- Simard, J.
- Southey, M.C.
- Stone, J.
- Stoppa-Lyonnet, D.
- Tamimi, R.M.
- Tapper, W.J.
- Taylor, J.A.
- Teo, S.H.
- Teras, L.R.
- Terry, M.B.
- Thomassen, M.
- Troester, M.A.
- Vachon, C.M.
- Vega, A.
- Vreeswijk, M.P.G.
- Wang, Q.
- Wappenschmidt, B.
- Weinberg, C.R.
- Wolk, A.
- Zheng, W.
- Feng, B.
- Couch, F.J.
- Spurdle, A.B.
- Easton, D.F.
- Goldgar, D.E.
- Michailidou, K.
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Revista:
Human Mutation
ISSN: 1098-1004, 1059-7794
Año de publicación: 2023
Volumen: 2023
Tipo: Artículo