Melbourne School of Population and Global Health - Research Publications

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    Identification of new breast cancer predisposition genes via whole exome sequencing
    Southey, MC ; Park, DJ ; Lesueur, F ; Odefrey, F ; Nguyen-Dumont, T ; Hammet, F ; Neuhausen, SL ; John, EM ; Andrulis, IL ; Chenevix-Trench, G ; Baglietto, L ; Le Calvez-Kelm, F ; Pertesi, M ; Lonie, A ; Pope, B ; Sinilnikova, O ; Tsimiklis, H ; Giles, GG ; Hopper, JL ; Tavtigian, SV ; Goldgar, DE (Springer Science and Business Media LLC, 2012-01)
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    Meta-Analysis Combining New and Existing Data Sets Confirms that the TERT-CLPTM1L Locus Influences Melanoma Risk
    Law, MH ; Montgomery, GW ; Brown, KM ; Martin, NG ; Mann, GJ ; Hayward, NK ; MacGregor, S (NATURE PUBLISHING GROUP, 2012-02)
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    Genome-wide association analysis identifies three new breast cancer susceptibility loci
    Ghoussaini, M ; Fletcher, O ; Michailidou, K ; Turnbull, C ; Schmidt, MK ; Dicks, E ; Dennis, J ; Wang, Q ; Humphreys, MK ; Luccarini, C ; Baynes, C ; Conroy, D ; Maranian, M ; Ahmed, S ; Driver, K ; Johnson, N ; Orr, N ; Silva, IDS ; Waisfisz, Q ; Meijers-Heijboer, H ; Uitterlinden, AG ; Rivadeneira, F ; Hall, P ; Czene, K ; Irwanto, A ; Liu, J ; Nevanlinna, H ; Aittomaki, K ; Blomqvist, C ; Meindl, A ; Schmutzler, RK ; Mueller-Myhsok, B ; Lichtner, P ; Chang-Claude, J ; Hein, R ; Nickels, S ; Flesch-Janys, D ; Tsimiklis, H ; Makalic, E ; Schmidt, D ; Bui, M ; Hopper, JL ; Apicella, C ; Park, DJ ; Southey, M ; Hunter, DJ ; Chanock, SJ ; Broeks, A ; Verhoef, S ; Hogervorst, FBL ; Fasching, PA ; Lux, MP ; Beckmann, MW ; Ekici, AB ; Sawyer, E ; Tomlinson, I ; Kerin, M ; Marme, F ; Schneeweiss, A ; Sohn, C ; Burwinkel, B ; Guenel, P ; Truong, T ; Cordina-Duverger, E ; Menegaux, F ; Bojesen, SE ; Nordestgaard, BG ; Nielsen, SF ; Flyger, H ; Milne, RL ; Rosario Alonso, M ; Gonzalez-Neira, A ; Benitez, J ; Anton-Culver, H ; Ziogas, A ; Bernstein, L ; Dur, CC ; Brenner, H ; Mueller, H ; Arndt, V ; Stegmaier, C ; Justenhoven, C ; Brauch, H ; Bruening, T ; Wang-Gohrke, S ; Eilber, U ; Doerk, T ; Schuermann, P ; Bremer, M ; Hillemanns, P ; Bogdanova, NV ; Antonenkova, NN ; Rogov, YI ; Karstens, JH ; Bermisheva, M ; Prokofieva, D ; Khusnutdinova, E ; Lindblom, A ; Margolin, S ; Mannermaa, A ; Kataja, V ; Kosma, V-M ; Hartikainen, JM ; Lambrechts, D ; Yesilyurt, BT ; Floris, G ; Leunen, K ; Manoukian, S ; Bonanni, B ; Fortuzzi, S ; Peterlongo, P ; Couch, FJ ; Wang, X ; Stevens, K ; Lee, A ; Giles, GG ; Baglietto, L ; Severi, G ; McLean, C ; Alnaes, GG ; Kristensen, V ; Borrensen-Dale, A-L ; John, EM ; Miron, A ; Winqvist, R ; Pylkas, K ; Jukkola-Vuorinen, A ; Kauppila, S ; Andrulis, IL ; Glendon, G ; Mulligan, AM ; Devilee, P ; van Asperen, CJ ; Tollenaar, RAEM ; Seynaeve, C ; Figueroa, JD ; Garcia-Closas, M ; Brinton, L ; Lissowska, J ; Hooning, MJ ; Hollestelle, A ; Oldenburg, RA ; van den Ouweland, AMW ; Cox, A ; Reed, MWR ; Shah, M ; Jakubowska, A ; Lubinski, J ; Jaworska, K ; Durda, K ; Jones, M ; Schoemaker, M ; Ashworth, A ; Swerdlow, A ; Beesley, J ; Chen, X ; Muir, KR ; Lophatananon, A ; Rattanamongkongul, S ; Chaiwerawattana, A ; Kang, D ; Yoo, K-Y ; Noh, D-Y ; Shen, C-Y ; Yu, J-C ; Wu, P-E ; Hsiung, C-N ; Perkins, A ; Swann, R ; Velentzis, L ; Eccles, DM ; Tapper, WJ ; Gerty, SM ; Graham, NJ ; Ponder, BAJ ; Chenevix-Trench, G ; Pharoah, PDP ; Lathrop, M ; Dunning, AM ; Rahman, N ; Peto, J ; Easton, DF (NATURE PUBLISHING GROUP, 2012-03)
    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10(-35)), 12q24 (rs1292011; P = 4.3 × 10(-19)) and 21q21 (rs2823093; P = 1.1 × 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.
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    Breast Cancer Risk and 6q22.33: Combined Results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2
    Kirchhoff, T ; Gaudet, MM ; Antoniou, AC ; McGuffog, L ; Humphreys, MK ; Dunning, AM ; Bojesen, SE ; Nordestgaard, BG ; Flyger, H ; Kang, D ; Yoo, K-Y ; Noh, D-Y ; Ahn, S-H ; Dork, T ; Schuermann, P ; Karstens, JH ; Hillemanns, P ; Couch, FJ ; Olson, J ; Vachon, C ; Wang, X ; Cox, A ; Brock, I ; Elliott, G ; Reed, MWR ; Burwinkel, B ; Meindl, A ; Brauch, H ; Hamann, U ; Ko, Y-D ; Broeks, A ; Schmidt, MK ; Van 't Veer, LJ ; Braaf, LM ; Johnson, N ; Fletcher, O ; Gibson, L ; Peto, J ; Turnbull, C ; Seal, S ; Renwick, A ; Rahman, N ; Wu, P-E ; Yu, J-C ; Hsiung, C-N ; Shen, C-Y ; Southey, MC ; Hopper, JL ; Hammet, F ; Van Dorpe, T ; Dieudonne, A-S ; Hatse, S ; Lambrechts, D ; Andrulis, IL ; Bogdanova, N ; Antonenkova, N ; Rogov, JI ; Prokofieva, D ; Bermisheva, M ; Khusnutdinova, E ; van Asperen, CJ ; Tollenaar, RAEM ; Hooning, MJ ; Devilee, P ; Margolin, S ; Lindblom, A ; Milne, RL ; Ignacio Arias, J ; Pilar Zamora, M ; Benitez, J ; Severi, G ; Baglietto, L ; Giles, GG ; Spurdle, AB ; Beesley, J ; Chen, X ; Holland, H ; Healey, S ; Wang-Gohrke, S ; Chang-Claude, J ; Mannermaa, A ; Kosma, V-M ; Kauppinen, J ; Kataja, V ; Agnarsson, BA ; Caligo, MA ; Godwin, AK ; Nevanlinna, H ; Heikkinen, T ; Fredericksen, Z ; Lindor, N ; Nathanson, KL ; Domchek, SM ; Loman, N ; Karlsson, P ; Askmalm, MS ; Melin, B ; von Wachenfeldt, A ; Hogervorst, FBL ; Verheus, M ; Rookus, MA ; Seynaeve, C ; Oldenburg, RA ; Ligtenberg, MJ ; Ausems, MGEM ; Aalfs, CM ; Gille, HJP ; Wijnen, JT ; Garcia, EBG ; Peock, S ; Cook, M ; Oliver, CT ; Frost, D ; Luccarini, C ; Pichert, G ; Davidson, R ; Chu, C ; Eccles, D ; Ong, K-R ; Cook, J ; Douglas, F ; Hodgson, S ; Evans, DG ; Eeles, R ; Gold, B ; Pharoah, PDP ; Offit, K ; Chenevix-Trench, G ; Easton, DF ; Prokunina-Olsson, L (PUBLIC LIBRARY SCIENCE, 2012-06-29)
    Recently, a locus on chromosome 6q22.33 (rs2180341) was reported to be associated with increased breast cancer risk in the Ashkenazi Jewish (AJ) population, and this association was also observed in populations of non-AJ European ancestry. In the present study, we performed a large replication analysis of rs2180341 using data from 31,428 invasive breast cancer cases and 34,700 controls collected from 25 studies in the Breast Cancer Association Consortium (BCAC). In addition, we evaluated whether rs2180341 modifies breast cancer risk in 3,361 BRCA1 and 2,020 BRCA2 carriers from 11 centers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Based on the BCAC data from women of European ancestry, we found evidence for a weak association with breast cancer risk for rs2180341 (per-allele odds ratio (OR) = 1.03, 95% CI 1.00-1.06, p = 0.023). There was evidence for heterogeneity in the ORs among studies (I(2) = 49.3%; p = <0.004). In CIMBA, we observed an inverse association with the minor allele of rs2180341 and breast cancer risk in BRCA1 mutation carriers (per-allele OR = 0.89, 95%CI 0.80-1.00, p = 0.048), indicating a potential protective effect of this allele. These data suggest that that 6q22.33 confers a weak effect on breast cancer risk.
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    Second to fourth digit ratio (2D: 4D), breast cancer risk factors, and breast cancer risk: a prospective cohort study
    Muller, DC ; Baglietto, L ; Manning, JT ; McLean, C ; Hopper, JL ; English, DR ; Giles, GG ; Severi, G (NATURE PUBLISHING GROUP, 2012-10-23)
    BACKGROUND: We aimed to assess whether 2D:4D measures are associated with breast cancer risk. METHODS: We derived the ratio of the lengths of the index and ring fingers (2D:4D), and right minus left 2D:4D (Δ(r-l)) from digit lengths measured from photocopies of participants' hands collected during a recent follow-up of the Melbourne Collaborative Cohort Study, a prospective study including 24 469 women. Of the 9044 women with available data, we identified 573 incident breast cancer cases. Hazard ratios (HR) and 95% confidence intervals (CI) for a one standard deviation difference in 2D:4D measures were obtained from Weibull survival models, and linear regression models were used to examine potential associations between 2D:4D measures and age at menarche and menopause. RESULTS: We found a direct association between left 2D:4D and breast cancer risk, an inverse association between Δ(r-l) and risk of breast cancer, but no association between right 2D:4D and breast cancer risk. Among breast cancer cases, both right 2D:4D and Δ(r-l) were inversely associated with age at diagnosis. We also observed associations between both right 2D:4D and Δ(r-l) and age at menopause, with increasing digit ratio measures related to earlier mean age at menopause. CONCLUSION: Digit ratio measures might be associated with breast cancer risk and age at onset of breast cancer. If confirmed in other studies, this suggests that lower exposure or sensitivity to prenatal testosterone might be associated with lower risk of breast cancer.
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    Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry
    Dite, GS ; Makalic, E ; Schmidt, DF ; Giles, GG ; Hopper, JL ; Southey, MC (BIOMED CENTRAL LTD, 2012)
    INTRODUCTION: We hypothesised that breast cancer risk for relatives of women with early-onset breast cancer could be predicted by tumour morphological features. METHODS: We studied female first-degree relatives of a population-based sample of 452 index cases with a first primary invasive breast cancer diagnosed before the age of 40 years. For the index cases, a standardised tumour morphology review had been conducted for all; estrogen (ER) and progesterone receptor (PR) status was available for 401 (89%), and 77 (17%) had a high-risk mutation in a breast cancer susceptibility gene or methylation of the BRCA1 promoter region in peripheral blood DNA. We calculated standardised incidence ratios (SIR) by comparing the number of mothers and sisters with breast cancer with the number expected based on Australian incidence rates specific for age and year of birth. RESULTS: Using Cox proportional hazards modelling, absence of extensive sclerosis, extensive intraductal carcinoma, absence of acinar and glandular growth patterns, and the presence of trabecular and lobular growth patterns were independent predictors with between a 1.8- and 3.1-fold increased risk for relatives (all P <0.02). Excluding index cases with known genetic predisposition or BRCA1 promoter methylation, absence of extensive sclerosis, circumscribed growth, extensive intraductal carcinoma and lobular growth pattern were independent predictors with between a 2.0- and 3.3-fold increased risk for relatives (all P <0.02). Relatives of the 128 (34%) index cases with none of these four features were at population risk (SIR = 1.03, 95% CI = 0.57 to 1.85) while relatives of the 37 (10%) index cases with two or more features were at high risk (SIR = 5.18, 95% CI = 3.22 to 8.33). CONCLUSIONS: This wide variation in risks for relatives based on tumour characteristics could be of clinical value, help discover new breast cancer susceptibility genes and be an advance on the current clinical practice of using ER and PR as pathology-based predictors of familial and possibly genetic risks.
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    Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)
    Hein, R ; Maranian, M ; Hopper, JL ; Kapuscinski, MK ; Southey, MC ; Park, DJ ; Schmidt, MK ; Broeks, A ; Hogervorst, FBL ; Bueno-de-Mesquit, HB ; Muir, KR ; Lophatananon, A ; Rattanamongkongul, S ; Puttawibul, P ; Fasching, PA ; Hein, A ; Ekici, AB ; Beckmann, MW ; Fletcher, O ; Johnson, N ; Silva, IDS ; Peto, J ; Sawyer, E ; Tomlinson, I ; Kerin, M ; Miller, N ; Marmee, F ; Schneeweiss, A ; Sohn, C ; Burwinkel, B ; Guenel, P ; Cordina-Duverger, E ; Menegaux, F ; Truong, T ; Bojesen, SE ; Nordestgaard, BG ; Flyger, H ; Milne, RL ; Arias Perez, JI ; Pilar Zamora, M ; Benitez, J ; Anton-Culver, H ; Ziogas, A ; Bernstein, L ; Clarke, CA ; Brenner, H ; Mueller, H ; Arndt, V ; Stegmaier, C ; Rahman, N ; Seal, S ; Turnbull, C ; Renwick, A ; Meindl, A ; Schott, S ; Bartram, CR ; Schmutzler, RK ; Brauch, H ; Hamann, U ; Ko, Y-D ; Wang-Gohrke, S ; Doerk, T ; Schuermann, P ; Karstens, JH ; Hillemanns, P ; Nevanlinna, H ; Heikkinen, T ; Aittomaki, K ; Blomqvist, C ; Bogdanova, NV ; Zalutsky, IV ; Antonenkova, NN ; Bermisheva, M ; Prokovieva, D ; Farahtdinova, A ; Khusnutdinova, E ; Lindblom, A ; Margolin, S ; Mannermaa, A ; Kataja, V ; Kosma, V-M ; Hartikainen, J ; Chen, X ; Beesley, J ; Lambrechts, D ; Zhao, H ; Neven, P ; Wildiers, H ; Nickels, S ; Flesch-Janys, D ; Radice, P ; Peterlongo, P ; Manoukian, S ; Barile, M ; Couch, FJ ; Olson, JE ; Wang, X ; Fredericksen, Z ; Giles, GG ; Baglietto, L ; McLean, CA ; Severi, G ; Offit, K ; Robson, M ; Gaudet, MM ; Vijai, J ; Alnaes, GG ; Kristensen, V ; Borresen-Dale, A-L ; John, EM ; Miron, A ; Winqvist, R ; Pylkas, K ; Jukkola-Vuorinen, A ; Grip, M ; Andrulis, IL ; Knight, JA ; Glendon, G ; Mulligan, AM ; Figueroa, JD ; Garcia-Closas, M ; Lissowska, J ; Sherman, ME ; Hooning, M ; Martens, JWM ; Seynaeve, C ; Collee, M ; Hall, P ; Humpreys, K ; Czene, K ; Liu, J ; Cox, A ; Brock, IW ; Cross, SS ; Reed, MWR ; Ahmed, S ; Ghoussaini, M ; Pharoah, PDP ; Kang, D ; Yoo, K-Y ; Noh, D-Y ; Jakubowska, A ; Jaworska, K ; Durda, K ; Zlowocka, E ; Sangrajrang, S ; Gaborieau, V ; Brennan, P ; McKay, J ; Shen, C-Y ; Yu, J-C ; Hsu, H-M ; Hou, M-F ; Orr, N ; Schoemaker, M ; Ashworth, A ; Swerdlow, A ; Trentham-Dietz, A ; Newcomb, PA ; Titus, L ; Egan, KM ; Chenevix-Trench, G ; Antoniou, AC ; Humphreys, MK ; Morrison, J ; Chang-Claude, J ; Easton, DF ; Dunning, AM ; Chan, KYK (PUBLIC LIBRARY SCIENCE, 2012-08-07)
    The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER-) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26-1.48), p = 7.6 × 10(-14) in Asians and 1.09 (95% CI 1.07-1.11), p = 6.8 × 10(-18) in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19-1.41), p = 1.2 × 10(-9) in Asians and 1.12 (95% CI 1.08-1.17), p = 3.8 × 10(-9) in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER-) = 1.20 (95% CI 1.15-1.25), p = 1.8 × 10(-17) versus OR (ER+) = 1.07 (95% CI 1.04-1.1), p = 1.3 × 10(-7), p(heterogeneity) = 5.1 × 10(-6)]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER- tumours.
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    Can genetic associations change with age? CFH and age-related macular degeneration
    Adams, MKM ; Simpson, JA ; Richardson, AJ ; Guymer, RH ; Williamson, E ; Cantsilieris, S ; English, DR ; Aung, KZ ; Makeyeva, GA ; Giles, GG ; Hopper, J ; Robman, LD ; Baird, PN (OXFORD UNIV PRESS, 2012-12-01)
    Genetic variation in the gene encoding complement factor H (CFH) on chromosome 1q31 has repeatedly been associated with an increased risk of age-related macular degeneration (AMD); however, previous studies have had inadequate numbers of participants across a sufficiently wide age range to determine whether the association varies by age. We conducted a genetic case-control study using data from 2294 cases and 2294 controls selected from the Melbourne Collaborative Cohort Study, matched on age, sex and region of origin. Four consistently replicated CFH single-nucleotide polymorphisms (SNPs) were genotyped: rs1061170 (Y402H), rs2274700, rs393955 and rs800292; their relationship with AMD prevalence was determined across the age range 48-86. A difference in genotype frequencies was seen across age groups, where the low-risk homozygote prevalence rose with each increasing age group. Associations with early AMD were strongly modified by age for three of the four SNPs (interaction P-value: 0.01-0.00003). An inverse association between the high-risk homozygote for each SNP and early AMD was observed in the younger age groups [odds ratios (OR) range 0.37-0.48 for age <55], reversing to a positive association with increasing age (OR 1.87-2.8 for age >75). The direction of associations for this gene change was from inverse to risk with increasing age. These findings have important implications for predictive models for AMD and potentially other age-related diseases which extrapolate risks from older cohorts, as they assume homogeneity of association by age, which might not exist.
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    Risk factors for uncommon histologic subtypes of breast cancer using centralized pathology review in the Breast Cancer Family Registry
    Work, ME ; Andrulis, IL ; John, EM ; Hopper, JL ; Liao, Y ; Zhang, FF ; Knight, JA ; West, DW ; Milne, RL ; Giles, GG ; Longacre, TA ; O'Malley, F ; Mulligan, AM ; Southey, MC ; Hibshoosh, H ; Terry, MB (SPRINGER, 2012-08)
    Epidemiologic studies of histologic types of breast cancer including mucinous, medullary, and tubular carcinomas have primarily relied on International Classification of Diseases-Oncology (ICD-O) codes assigned by local pathologists to define histology. Using data from the Breast Cancer Family Registry (BCFR), we compared histologic agreement between centralized BCFR pathology review and ICD-O codes available from local tumor registries among 3,260 breast cancer cases. Agreement was low to moderate for less common histologies; for example, only 55 and 26 % of cases classified as mucinous and medullary, respectively, by centralized review were similarly classified using ICD-O coding. We then evaluated risk factors for each histologic subtype by comparing each histologic case group defined by centralized review with a common set of 2,997 population-based controls using polytomous logistic regression. Parity [odds ratio (OR) = 0.4, 95 % confidence interval (95 % CI): 0.2-0.9, for parous vs. nulliparous], age at menarche (OR = 0.5, 95 % CI: 0.3-0.9, for age ≥13 vs. ≤11), and use of oral contraceptives (OCs) (OR = 0.5, 95 % CI: 0.2-0.8, OC use >5 years vs. never) were associated with mucinous carcinoma (N = 92 cases). Body mass index (BMI) (OR = 1.05, 95 % CI: 1.0-1.1, per unit of BMI) and high parity (OR = 2.6, 95 % CI: 1.1-6.0 for ≥3 live births vs. nulliparous) were associated with medullary carcinoma (N = 90 cases). We did not find any associations between breast cancer risk factors and tubular carcinoma (N = 86 cases). Relative risk estimates from analyses using ICD-O classifications of histology, rather than centralized review, resulted in attenuated, and/or more imprecise, associations. These findings suggest risk factor heterogeneity across breast cancer tumor histologies, and demonstrate the value of centralized pathology review for classifying rarer tumor types.
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    Analysis of Xq27-28 linkage in the international consortium for prostate cancer genetics (ICPCG) families
    Bailey-Wilson, JE ; Childs, EJ ; Cropp, CD ; Schaid, DJ ; Xu, J ; Camp, NJ ; Cannon-Albright, LA ; Farnham, JM ; George, A ; Powell, I ; Carpten, JD ; Giles, GG ; Hopper, JL ; Severi, G ; English, DR ; Foulkes, WD ; Maehle, L ; Moller, P ; Eeles, R ; Easton, D ; Guy, M ; Edwards, S ; Badzioch, MD ; Whittemore, AS ; Oakley-Girvan, I ; Hsieh, C-L ; Dimitrov, L ; Stanford, JL ; Karyadi, DM ; Deutsch, K ; McIntosh, L ; Ostrander, EA ; Wiley, KE ; Isaacs, SD ; Walsh, PC ; Thibodeau, SN ; McDonnell, SK ; Hebbring, S ; Lange, EM ; Cooney, KA ; Tammela, TLJ ; Schleutker, J ; Maier, C ; Bochum, S ; Hoegel, J ; Gronberg, H ; Wiklund, F ; Emanuelsson, M ; Cancel-Tassin, G ; Valeri, A ; Cussenot, O ; Isaacs, WB (BMC, 2012-06-19)
    BACKGROUND: Genetic variants are likely to contribute to a portion of prostate cancer risk. Full elucidation of the genetic etiology of prostate cancer is difficult because of incomplete penetrance and genetic and phenotypic heterogeneity. Current evidence suggests that genetic linkage to prostate cancer has been found on several chromosomes including the X; however, identification of causative genes has been elusive. METHODS: Parametric and non-parametric linkage analyses were performed using 26 microsatellite markers in each of 11 groups of multiple-case prostate cancer families from the International Consortium for Prostate Cancer Genetics (ICPCG). Meta-analyses of the resultant family-specific linkage statistics across the entire 1,323 families and in several predefined subsets were then performed. RESULTS: Meta-analyses of linkage statistics resulted in a maximum parametric heterogeneity lod score (HLOD) of 1.28, and an allele-sharing lod score (LOD) of 2.0 in favor of linkage to Xq27-q28 at 138 cM. In subset analyses, families with average age at onset less than 65 years exhibited a maximum HLOD of 1.8 (at 138 cM) versus a maximum regional HLOD of only 0.32 in families with average age at onset of 65 years or older. Surprisingly, the subset of families with only 2-3 affected men and some evidence of male-to-male transmission of prostate cancer gave the strongest evidence of linkage to the region (HLOD = 3.24, 134 cM). For this subset, the HLOD was slightly increased (HLOD = 3.47 at 134 cM) when families used in the original published report of linkage to Xq27-28 were excluded. CONCLUSIONS: Although there was not strong support for linkage to the Xq27-28 region in the complete set of families, the subset of families with earlier age at onset exhibited more evidence of linkage than families with later onset of disease. A subset of families with 2-3 affected individuals and with some evidence of male to male disease transmission showed stronger linkage signals. Our results suggest that the genetic basis for prostate cancer in our families is much more complex than a single susceptibility locus on the X chromosome, and that future explorations of the Xq27-28 region should focus on the subset of families identified here with the strongest evidence of linkage to this region.