-
1
-
-
7944237307
-
The BOADICEA model of genetic susceptibility to breast and ovarian cancer
-
Antoniou AC, Pharoah PP, Smith P, et al. The BOADICEA model of genetic susceptibility to breast and ovarian cancer. Br J Cancer 2004;91:1580-90.
-
(2004)
Br J Cancer
, vol.91
, pp. 1580-1590
-
-
Antoniou, A.C.1
Pharoah, P.P.2
Smith, P.3
-
2
-
-
0343918505
-
BRCA1 mutations in women attending clinics that evaluate the risk of breast cancer
-
Couch FJ, DeShano ML, Blackwood MA, et al. BRCA1 mutations in women attending clinics that evaluate the risk of breast cancer. N Engl J Med 1997;336:1409-15.
-
(1997)
N Engl J Med
, vol.336
, pp. 1409-1415
-
-
Couch, F.J.1
DeShano, M.L.2
Blackwood, M.A.3
-
3
-
-
0037087536
-
Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: Analysis of 10,000 individuals
-
Frank TS, Deffenbaugh AM, Reid JE, et al. Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals. J Clin Oncol 2002;20:1480-90.
-
(2002)
J Clin Oncol
, vol.20
, pp. 1480-1490
-
-
Frank, T.S.1
Deffenbaugh, A.M.2
Reid, J.E.3
-
4
-
-
0031917403
-
Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2
-
Parmigiani G, Berry D, Aguilar O. Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet 1998;62:145-58.
-
(1998)
Am J Hum Genet
, vol.62
, pp. 145-158
-
-
Parmigiani, G.1
Berry, D.2
Aguilar, O.3
-
5
-
-
1842680082
-
A breast cancer prediction model incorporating familial and personal risk factors
-
Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med 2004;23:1111-30.
-
(2004)
Stat Med
, vol.23
, pp. 1111-1130
-
-
Tyrer, J.1
Duffy, S.W.2
Cuzick, J.3
-
6
-
-
2942726188
-
A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO
-
Evans DG, Eccles DM, Rahman N, et al. A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO. J Med Genet 2004;41:474-80.
-
(2004)
J Med Genet
, vol.41
, pp. 474-480
-
-
Evans, D.G.1
Eccles, D.M.2
Rahman, N.3
-
7
-
-
72749102465
-
Addition of pathology and biomarker information significantly improves the performance of the Manchester scoring system for BRCA1 and BRCA2 testing
-
Evans DG, Lalloo F, Cramer A, et al. Addition of pathology and biomarker information significantly improves the performance of the Manchester scoring system for BRCA1 and BRCA2 testing. J Med Genet 2009;46:811-7.
-
(2009)
J Med Genet
, vol.46
, pp. 811-817
-
-
Evans, D.G.1
Lalloo, F.2
Cramer, A.3
-
8
-
-
33644865525
-
Evaluation of two different models to predict BRCA1 and BRCA2 mutations in a cohort of Danish hereditary breast and/or ovarian cancer families
-
Gerdes AM, Cruger DG, Thomassen M, et al. Evaluation of two different models to predict BRCA1 and BRCA2 mutations in a cohort of Danish hereditary breast and/or ovarian cancer families. Clin Genet 2006;69:171-8.
-
(2006)
Clin Genet
, vol.69
, pp. 171-178
-
-
Gerdes, A.M.1
Cruger, D.G.2
Thomassen, M.3
-
9
-
-
33644838384
-
Optimal selection of individuals for BRCA mutation testing: A comparison of available methods
-
James PA, Doherty R, Harris M, et al. Optimal selection of individuals for BRCA mutation testing: a comparison of available methods. J Clin Oncol 2006;24:707-15.
-
(2006)
J Clin Oncol
, vol.24
, pp. 707-715
-
-
James, P.A.1
Doherty, R.2
Harris, M.3
-
10
-
-
33847259648
-
Evaluation of BRCA1 and BRCA2 mutation prevalence, risk prediction models and a multistep testing approach in French-Canadian families with high risk of breast and ovarian cancer
-
Simard J, Dumont M, Moisan AM, et al. Evaluation of BRCA1 and BRCA2 mutation prevalence, risk prediction models and a multistep testing approach in French-Canadian families with high risk of breast and ovarian cancer. J Med Genet 2007;44:107-21.
-
(2007)
J Med Genet
, vol.44
, pp. 107-121
-
-
Simard, J.1
Dumont, M.2
Moisan, A.M.3
-
11
-
-
65849293656
-
Evaluation of BRCA1 and BRCA2 mutations and riskprediction models in a typical Asian country (Malaysia) with a relatively low incidence of breast cancer
-
Thirthagiri E, Lee SY, Kang P, et al. Evaluation of BRCA1 and BRCA2 mutations and riskprediction models in a typical Asian country (Malaysia) with a relatively low incidence of breast cancer. Breast Cancer Res 2008;10:R59.
-
(2008)
Breast Cancer Res
, vol.10
, pp. R59
-
-
Thirthagiri, E.1
Lee, S.Y.2
Kang, P.3
-
12
-
-
47149086213
-
Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: Validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics
-
Antoniou AC, Hardy R, Walker L, et al. Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics. J Med Genet 2008;45:425-31.
-
(2008)
J Med Genet
, vol.45
, pp. 425-431
-
-
Antoniou, A.C.1
Hardy, R.2
Walker, L.3
-
13
-
-
0036466858
-
Comprehensive analysis of 989 patients with breast or ovarian cancer provides BRCA1 and BRCA2 mutation profiles and frequencies for the German population
-
Meindl A. Comprehensive analysis of 989 patients with breast or ovarian cancer provides BRCA1 and BRCA2 mutation profiles and frequencies for the German population. Int J Cancer 2002;97:472-80.
-
(2002)
Int J Cancer
, vol.97
, pp. 472-480
-
-
Meindl, A.1
-
14
-
-
33644872552
-
Update on the Manchester Scoring System for BRCA1 and BRCA2 testing
-
Evans DG, Lalloo F, Wallace A, et al. Update on the Manchester Scoring System for BRCA1 and BRCA2 testing. J Med Genet 2005;42:e39.
-
(2005)
J Med Genet
, vol.42
, pp. e39
-
-
Evans, D.G.1
Lalloo, F.2
Wallace, A.3
-
15
-
-
85027933685
-
Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: A study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium
-
Fischer C, Kuchenbaecker K, Engel C, et al. Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: a study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium. J Med Genet 2013;50:360-367.
-
(2013)
J Med Genet
, vol.50
, pp. 360-367
-
-
Fischer, C.1
Kuchenbaecker, K.2
Engel, C.3
-
16
-
-
18344412542
-
BRCA1 and BRCA2 mutations in a population-based study of male breast cancer
-
Basham VM, Lipscombe JM, Ward JM, et al. BRCA1 and BRCA2 mutations in a population-based study of male breast cancer. Breast Cancer Res 2002;4:R2.
-
(2002)
Breast Cancer Res
, vol.4
, pp. R2
-
-
Basham, V.M.1
Lipscombe, J.M.2
Ward, J.M.3
-
17
-
-
34250006413
-
Genome-wide association study identifies novel breast cancer susceptibility loci
-
Easton DF, Pooley KA, Dunning AM et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature 2007;447:1087-93.
-
(2007)
Nature
, vol.447
, pp. 1087-1093
-
-
Easton, D.F.1
Pooley, K.A.2
Dunning, A.M.3
-
18
-
-
17344365851
-
Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families
-
The Breast Cancer Linkage Consortium
-
Ford D, Easton DF, Stratton M, et al. Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The Breast Cancer Linkage Consortium. Am J Hum Genet 1998;62:676-89.
-
(1998)
Am J Hum Genet
, vol.62
, pp. 676-689
-
-
Ford, D.1
Easton, D.F.2
Stratton, M.3
-
19
-
-
74949102413
-
Male breast cancer: A population-based comparison with female breast cancer
-
Anderson WF, Jatoi I, Tse J, et al. Male breast cancer: a population-based comparison with female breast cancer. J Clin Oncol 2010;28:232-9.
-
(2010)
J Clin Oncol
, vol.28
, pp. 232-239
-
-
Anderson, W.F.1
Jatoi, I.2
Tse, J.3
-
20
-
-
22344443194
-
Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype
-
Lakhani SR, Reis-Filho JS, Fulford L, et al. Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clin Cancer Res 2005;11:5175-80.
-
(2005)
Clin Cancer Res
, vol.11
, pp. 5175-5180
-
-
Lakhani, S.R.1
Reis-Filho, J.S.2
Fulford, L.3
-
21
-
-
0036569877
-
The pathology of familial breast cancer: Predictive value of immunohistochemical markers estrogen receptor, progesterone receptor, HER-2, and p53 in patients with mutations in BRCA1 and BRCA2
-
Lakhani SR, Van De Vijver MJ, Jacquemier J, et al. The pathology of familial breast cancer: predictive value of immunohistochemical markers estrogen receptor, progesterone receptor, HER-2, and p53 in patients with mutations in BRCA1 and BRCA2. J Clin Oncol 2002;20:2310-8.
-
(2002)
J Clin Oncol
, vol.20
, pp. 2310-2318
-
-
Lakhani, S.R.1
Van De Vijver, M.J.2
Jacquemier, J.3
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