Melbourne School of Population and Global Health - Research Publications

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    HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG)
    Xu, J ; Lange, EM ; Lu, L ; Zheng, SL ; Wang, Z ; Thibodeau, SN ; Cannon-Albright, LA ; Teerlink, CC ; Camp, NJ ; Johnson, AM ; Zuhlke, KA ; Stanford, JL ; Ostrander, EA ; Wiley, KE ; Isaacs, SD ; Walsh, PC ; Maier, C ; Luedeke, M ; Vogel, W ; Schleutker, J ; Wahlfors, T ; Tammela, T ; Schaid, D ; McDonnell, SK ; DeRycke, MS ; Cancel-Tassin, G ; Cussenot, O ; Wiklund, F ; Gronberg, H ; Eeles, R ; Easton, D ; Kote-Jarai, Z ; Whittemore, AS ; Hsieh, C-L ; Giles, GG ; Hopper, JL ; Severi, G ; Catalona, WJ ; Mandal, D ; Ledet, E ; Foulkes, WD ; Hamel, N ; Mahle, L ; Moller, P ; Powell, I ; Bailey-Wilson, JE ; Carpten, JD ; Seminara, D ; Cooney, KA ; Isaacs, WB (SPRINGER, 2013-01)
    Prostate cancer has a strong familial component but uncovering the molecular basis for inherited susceptibility for this disease has been challenging. Recently, a rare, recurrent mutation (G84E) in HOXB13 was reported to be associated with prostate cancer risk. Confirmation and characterization of this finding is necessary to potentially translate this information to the clinic. To examine this finding in a large international sample of prostate cancer families, we genotyped this mutation and 14 other SNPs in or flanking HOXB13 in 2,443 prostate cancer families recruited by the International Consortium for Prostate Cancer Genetics (ICPCG). At least one mutation carrier was found in 112 prostate cancer families (4.6 %), all of European descent. Within carrier families, the G84E mutation was more common in men with a diagnosis of prostate cancer (194 of 382, 51 %) than those without (42 of 137, 30 %), P = 9.9 × 10(-8) [odds ratio 4.42 (95 % confidence interval 2.56-7.64)]. A family-based association test found G84E to be significantly over-transmitted from parents to affected offspring (P = 6.5 × 10(-6)). Analysis of markers flanking the G84E mutation indicates that it resides in the same haplotype in 95 % of carriers, consistent with a founder effect. Clinical characteristics of cancers in mutation carriers included features of high-risk disease. These findings demonstrate that the HOXB13 G84E mutation is present in ~5 % of prostate cancer families, predominantly of European descent, and confirm its association with prostate cancer risk. While future studies are needed to more fully define the clinical utility of this observation, this allele and others like it could form the basis for early, targeted screening of men at elevated risk for this common, clinically heterogeneous cancer.
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    Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
    Berndt, SI ; Skibola, CF ; Joseph, V ; Camp, NJ ; Nieters, A ; Wang, Z ; Cozen, W ; Monnereau, A ; Wang, SS ; Kelly, RS ; Lan, Q ; Teras, LR ; Chatterjee, N ; Chung, CC ; Yeager, M ; Brooks-Wilson, AR ; Hartge, P ; Purdue, MP ; Birmann, BM ; Armstrong, BK ; Cocco, P ; Zhang, Y ; Severi, G ; Zeleniuch-Jacquotte, A ; Lawrence, C ; Burdette, L ; Yuenger, J ; Hutchinson, A ; Jacobs, KB ; Call, TG ; Shanafelt, TD ; Novak, AJ ; Kay, NE ; Liebow, M ; Wang, AH ; Smedby, KE ; Adami, H-O ; Melbye, M ; Glimelius, B ; Chang, ET ; Glenn, M ; Curtin, K ; Cannon-Albright, LA ; Jones, B ; Diver, WR ; Link, BK ; Weiner, GJ ; Conde, L ; Bracci, PM ; Riby, J ; Holly, EA ; Smith, MT ; Jackson, RD ; Tinker, LF ; Benavente, Y ; Becker, N ; Boffetta, P ; Brennan, P ; Foretova, L ; Maynadie, M ; McKay, J ; Staines, A ; Rabe, KG ; Achenbach, SJ ; Vachon, CM ; Goldin, LR ; Strom, SS ; Lanasa, MC ; Spector, LG ; Leis, JF ; Cunningham, JM ; Weinberg, JB ; Morrison, VA ; Caporaso, NE ; Norman, AD ; Linet, MS ; De Roos, AJ ; Morton, LM ; Severson, RK ; Riboli, E ; Vineis, P ; Kaaks, R ; Trichopoulos, D ; Masala, G ; Weiderpass, E ; Chirlaque, M-D ; Vermeulen, RCH ; Travis, RC ; Giles, GG ; Albanes, D ; Virtamo, J ; Weinstein, S ; Clavel, J ; Zheng, T ; Holford, TR ; Offit, K ; Zelenetz, A ; Klein, RJ ; Spinelli, JJ ; Bertrand, KA ; Laden, F ; Giovannucci, E ; Kraft, P ; Kricker, A ; Turner, J ; Vajdic, CM ; Ennas, MG ; Ferri, GM ; Miligi, L ; Liang, L ; Sampson, J ; Crouch, S ; Park, J-H ; North, KE ; Cox, A ; Snowden, JA ; Wright, J ; Carracedo, A ; Lopez-Otin, C ; Bea, S ; Salaverria, I ; Martin-Garcia, D ; Campo, E ; Fraumeni, JF ; de Sanjose, S ; Hjalgrim, H ; Cerhan, JR ; Chanock, SJ ; Rothman, N ; Slager, SL (NATURE PUBLISHING GROUP, 2013-08)
    Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.
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    GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer
    Pharoah, PDP ; Tsai, Y-Y ; Ramus, SJ ; Phelan, CM ; Goode, EL ; Lawrenson, K ; Buckley, M ; Fridley, BL ; Tyrer, JP ; Shen, H ; Weber, R ; Karevan, R ; Larson, MC ; Song, H ; Tessier, DC ; Bacot, F ; Vincent, D ; Cunningham, JM ; Dennis, J ; Dicks, E ; Aben, KK ; Anton-Culver, H ; Antonenkova, N ; Armasu, SM ; Baglietto, L ; Bandera, EV ; Beckmann, MW ; Birrer, MJ ; Bloom, G ; Bogdanova, N ; Brenton, JD ; Brinton, LA ; Brooks-Wilson, A ; Brown, R ; Butzow, R ; Campbell, I ; Carney, ME ; Carvalho, RS ; Chang-Claude, J ; Chen, YA ; Chen, Z ; Chow, W-H ; Cicek, MS ; Coetzee, G ; Cook, LS ; Cramer, DW ; Cybulski, C ; Dansonka-Mieszkowska, A ; Despierre, E ; Doherty, JA ; Doerk, T ; du Bois, A ; Duerst, M ; Eccles, D ; Edwards, R ; Ekici, AB ; Fasching, PA ; Fenstermacher, D ; Flanagan, J ; Gao, Y-T ; Garcia-Closas, M ; Gentry-Maharaj, A ; Giles, G ; Gjyshi, A ; Gore, M ; Gronwald, J ; Guo, Q ; Halle, MK ; Harter, P ; Hein, A ; Heitz, F ; Hillemanns, P ; Hoatlin, M ; Hogdall, E ; Hogdall, CK ; Hosono, S ; Jakubowska, A ; Jensen, A ; Kalli, KR ; Karlan, BY ; Kelemen, LE ; Kiemeney, LA ; Kjaer, SK ; Konecny, GE ; Krakstad, C ; Kupryjanczyk, J ; Lambrechts, D ; Lambrechts, S ; Le, ND ; Lee, N ; Lee, J ; Leminen, A ; Lim, BK ; Lissowska, J ; Lubinski, J ; Lundvall, L ; Lurie, G ; Massuger, LFAG ; Matsuo, K ; McGuire, V ; McLaughlin, JR ; Menon, U ; Modugno, F ; Moysich, KB ; Nakanishi, T ; Narod, SA ; Ness, RB ; Nevanlinna, H ; Nickels, S ; Noushmehr, H ; Odunsi, K ; Olson, S ; Orlow, I ; Paul, J ; Pejovic, T ; Pelttari, LM ; Permuth-Wey, J ; Pike, MC ; Poole, EM ; Qu, X ; Risch, HA ; Rodriguez-Rodriguez, L ; Rossing, MA ; Rudolph, A ; Runnebaum, I ; Rzepecka, IK ; Salvesen, HB ; Schwaab, I ; Severi, G ; Shen, H ; Shridhar, V ; Shu, X-O ; Sieh, W ; Southey, MC ; Spellman, P ; Tajima, K ; Teo, S-H ; Terry, KL ; Thompson, PJ ; Timorek, A ; Tworoger, SS ; van Altena, AM ; van den Berg, D ; Vergote, I ; Vierkant, RA ; Vitonis, AF ; Wang-Gohrke, S ; Wentzensen, N ; Whittemore, AS ; Wik, E ; Winterhoff, B ; Woo, YL ; Wu, AH ; Yang, HP ; Zheng, W ; Ziogas, A ; Zulkifli, F ; Goodman, MT ; Hall, P ; Easton, DF ; Pearce, CL ; Berchuck, A ; Chenevix-Trench, G ; Iversen, E ; Monteiro, ANA ; Gayther, SA ; Schildkraut, JM ; Sellers, TA (NATURE PUBLISHING GROUP, 2013-04)
    Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer.
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    Identification and molecular characterization of a new ovarian cancer susceptibility locus at 17q21.31
    Permuth-Wey, J ; Lawrenson, K ; Shen, HC ; Velkova, A ; Tyrer, JP ; Chen, Z ; Lin, H-Y ; Chen, YA ; Tsai, Y-Y ; Qu, X ; Ramus, SJ ; Karevan, R ; Lee, J ; Lee, N ; Larson, MC ; Aben, KK ; Anton-Culver, H ; Antonenkova, N ; Antoniou, AC ; Armasu, SM ; Bacot, F ; Baglietto, L ; Bandera, EV ; Barnholtz-Sloan, J ; Beckmann, MW ; Birrer, MJ ; Bloom, G ; Bogdanova, N ; Brinton, LA ; Brooks-Wilson, A ; Brown, R ; Butzow, R ; Cai, Q ; Campbell, I ; Chang-Claude, J ; Chanock, S ; Chenevix-Trench, G ; Cheng, JQ ; Cicek, MS ; Coetzee, GA ; Cook, LS ; Couch, FJ ; Cramer, DW ; Cunningham, JM ; Dansonka-Mieszkowska, A ; Despierre, E ; Doherty, JA ; Doerk, T ; du Bois, A ; Duerst, M ; Easton, DF ; Eccles, D ; Edwards, R ; Ekici, AB ; Fasching, PA ; Fenstermacher, DA ; Flanagan, JM ; Garcia-Closas, M ; Gentry-Maharaj, A ; Giles, GG ; Glasspool, RM ; Gonzalez-Bosquet, J ; Goodman, MT ; Gore, M ; Gorski, B ; Gronwald, J ; Hall, P ; Halle, MK ; Harter, P ; Heitz, F ; Hillemanns, P ; Hoatlin, M ; Hogdall, CK ; Hogdall, E ; Hosono, S ; Jakubowska, A ; Jensen, A ; Jim, H ; Kalli, KR ; Karlan, BY ; Kaye, SB ; Kelemen, LE ; Kiemeney, LA ; Kikkawa, F ; Konecny, GE ; Krakstad, C ; Kjaer, SK ; Kupryjanczyk, J ; Lambrechts, D ; Lambrechts, S ; Lancaster, JM ; Le, ND ; Leminen, A ; Levine, DA ; Liang, D ; Lim, BK ; Lin, J ; Lissowska, J ; Lu, KH ; Lubinski, J ; Lurie, G ; Massuger, LFAG ; Matsuo, K ; McGuire, V ; McLaughlin, JR ; Menon, U ; Modugno, F ; Moysich, KB ; Nakanishi, T ; Narod, SA ; Nedergaard, L ; Ness, RB ; Nevanlinna, H ; Nickels, S ; Noushmehr, H ; Odunsi, K ; Olson, SH ; Orlow, I ; Paul, J ; Pearce, CL ; Pejovic, T ; Pelttari, LM ; Pike, MC ; Poole, EM ; Raska, P ; Renner, SP ; Risch, HA ; Rodriguez-Rodriguez, L ; Rossing, MA ; Rudolph, A ; Runnebaum, IB ; Rzepecka, IK ; Salvesen, HB ; Schwaab, I ; Severi, G ; Shridhar, V ; Shu, X-O ; Shvetsov, YB ; Sieh, W ; Song, H ; Southey, MC ; Spiewankiewicz, B ; Stram, D ; Sutphen, R ; Teo, S-H ; Terry, KL ; Tessier, DC ; Thompson, PJ ; Tworoger, SS ; van Altena, AM ; Vergote, I ; Vierkant, RA ; Vincent, D ; Vitonis, AF ; Wang-Gohrke, S ; Weber, RP ; Wentzensen, N ; Whittemore, AS ; Wik, E ; Wilkens, LR ; Winterhoff, B ; Woo, YL ; Wu, AH ; Xiang, Y-B ; Yang, HP ; Zheng, W ; Ziogas, A ; Zulkifli, F ; Phelan, CM ; Iversen, E ; Schildkraut, JM ; Berchuck, A ; Fridley, BL ; Goode, EL ; Pharoah, PDP ; Monteiro, ANA ; Sellers, TA ; Gayther, SA (NATURE RESEARCH, 2013-03)
    Epithelial ovarian cancer (EOC) has a heritable component that remains to be fully characterized. Most identified common susceptibility variants lie in non-protein-coding sequences. We hypothesized that variants in the 3' untranslated region at putative microRNA (miRNA)-binding sites represent functional targets that influence EOC susceptibility. Here, we evaluate the association between 767 miRNA-related single-nucleotide polymorphisms (miRSNPs) and EOC risk in 18,174 EOC cases and 26,134 controls from 43 studies genotyped through the Collaborative Oncological Gene-environment Study. We identify several miRSNPs associated with invasive serous EOC risk (odds ratio=1.12, P=10(-8)) mapping to an inversion polymorphism at 17q21.31. Additional genotyping of non-miRSNPs at 17q21.31 reveals stronger signals outside the inversion (P=10(-10)). Variation at 17q21.31 is associated with neurological diseases, and our collaboration is the first to report an association with EOC susceptibility. An integrated molecular analysis in this region provides evidence for ARHGAP27 and PLEKHM1 as candidate EOC susceptibility genes.
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    Common genetic variants associated with disease from genome-wide association studies are mutually exclusive in prostate cancer and rheumatoid arthritis
    Orozco, G ; Goh, CL ; Al Olama, AA ; Benlloch-Garcia, S ; Govindasami, K ; Guy, M ; Muir, KR ; Giles, GG ; Severi, G ; Neal, DE ; Hamdy, FC ; Donovan, JL ; Kote-Jarai, Z ; Easton, DF ; Eyre, S ; Eeles, RA (WILEY-BLACKWELL, 2013-06)
    UNLABELLED: WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: The link between inflammation and cancer has long been reported and inflammation is thought to play a role in the pathogenesis of many cancers, including prostate cancer (PrCa). Over the last 5 years, genome-wide association studies (GWAS) have reported numerous susceptibility loci that predispose individuals to many different traits. The present study aims to ascertain if there are common genetic risk profiles that might predispose individuals to both PrCa and the autoimmune inflammatory condition, rheumatoid arthritis. These results could have potential public heath impact in terms of screening and chemoprevention. OBJECTIVES: To investigate if potential common pathways exist for the pathogenesis of autoimmune disease and prostate cancer (PrCa). To ascertain if the single nucleotide polymorphisms (SNPs) reported by genome-wide association studies (GWAS) as being associated with susceptibility to PrCa are also associated with susceptibility to the autoimmune disease rheumatoid arthritis (RA). MATERIALS AND METHODS: The original Wellcome Trust Case Control Consortium (WTCCC) UK RA GWAS study was expanded to include a total of 3221 cases and 5272 controls. In all, 37 germline autosomal SNPs at genome-wide significance associated with PrCa risk were identified from a UK/Australian PrCa GWAS. Allele frequencies were compared for these 37 SNPs between RA cases and controls using a chi-squared trend test and corrected for multiple testing (Bonferroni). RESULTS: In all, 33 SNPs were able to be analysed in the RA dataset. Proxies could not be located for the SNPs in 3q26, 5p15 and for two SNPs in 17q12. After applying a Bonferroni correction for the number of SNPs tested, the SNP mapping to CCHCR1 (rs130067) retained statistically significant evidence for association (P = 6 × 10(-4) ; odds ratio [OR] = 1.15, 95% CI: 1.06-1.24); this has also been associated with psoriasis. However, further analyses showed that the association of this allele was due to confounding by RA-associated HLA-DRB1 alleles. CONCLUSIONS: There is currently no evidence that SNPs associated with PrCa at genome-wide significance are associated with the development of RA. Studies like this are important in determining if common genetic risk profiles might predispose individuals to many diseases, which could have implications for public health in terms of screening and chemoprevention.
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    Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression
    Kote-Jarai, Z ; Saunders, EJ ; Leongamornlert, DA ; Tymrakiewicz, M ; Dadaev, T ; Jugurnauth-Little, S ; Ross-Adams, H ; Al Olama, AA ; Benlloch, S ; Halim, S ; Russel, R ; Dunning, AM ; Luccarini, C ; Dennis, J ; Neal, DE ; Hamdy, FC ; Donovan, JL ; Muir, K ; Giles, GG ; Severi, G ; Wiklund, F ; Gronberg, H ; Haiman, CA ; Schumacher, F ; Henderson, BE ; Le Marchand, L ; Lindstrom, S ; Kraft, P ; Hunter, DJ ; Gapstur, S ; Chanock, S ; Berndt, SI ; Albanes, D ; Andriole, G ; Schleutker, J ; Weischer, M ; Canzian, F ; Riboli, E ; Key, TJ ; Travis, RC ; Campa, D ; Ingles, SA ; John, EM ; Hayes, RB ; Pharoah, P ; Khaw, K-T ; Stanford, JL ; Ostrander, EA ; Signorello, LB ; Thibodeau, SN ; Schaid, D ; Maier, C ; Vogel, W ; Kibel, AS ; Cybulski, C ; Lubinski, J ; Cannon-Albright, L ; Brenner, H ; Park, JY ; Kaneva, R ; Batra, J ; Spurdle, A ; Clements, JA ; Teixeira, MR ; Govindasami, K ; Guy, M ; Wilkinson, RA ; Sawyer, EJ ; Morgan, A ; Dicks, E ; Baynes, C ; Conroy, D ; Bojesen, SE ; Kaaks, R ; Vincent, D ; Bacot, F ; Tessier, DC ; Easton, DF ; Eeles, RA (OXFORD UNIV PRESS, 2013-06-15)
    Associations between single nucleotide polymorphisms (SNPs) at 5p15 and multiple cancer types have been reported. We have previously shown evidence for a strong association between prostate cancer (PrCa) risk and rs2242652 at 5p15, intronic in the telomerase reverse transcriptase (TERT) gene that encodes TERT. To comprehensively evaluate the association between genetic variation across this region and PrCa, we performed a fine-mapping analysis by genotyping 134 SNPs using a custom Illumina iSelect array or Sequenom MassArray iPlex, followed by imputation of 1094 SNPs in 22 301 PrCa cases and 22 320 controls in The PRACTICAL consortium. Multiple stepwise logistic regression analysis identified four signals in the promoter or intronic regions of TERT that independently associated with PrCa risk. Gene expression analysis of normal prostate tissue showed evidence that SNPs within one of these regions also associated with TERT expression, providing a potential mechanism for predisposition to disease.
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    Confirmation of the reduction of hormone replacement therapy-related breast cancer risk for carriers of the HSD17B1_937_G variant
    Obazee, O ; Justenhoven, C ; Winter, S ; Chang-Claude, J ; Rudolph, A ; Seibold, P ; Flesch-Janys, D ; Hannelius, U ; Li, J ; Humphreys, K ; Hall, P ; Giles, G ; Severi, G ; Baglietto, L ; Southey, M ; Rabstein, S ; Harth, V ; Lotz, A ; Pesch, B ; Bruening, T ; Baisch, C ; Ko, Y-D ; Hamann, U ; Brauch, H (SPRINGER, 2013-04)
    17β-hydroxysteroid dehydrogenase type 1 (HSD17B1) plays an important role in the biosynthesis of 17β-estradiol. The current study aimed at confirming the reduced risk of breast cancer in carriers of the non-synonymous HSD17B1_937_A>G (rs605059) polymorphism who used any hormone replacement therapy (HRT) for 10 years or longer. We performed an independent association study using four breast cancer case-control studies from Australia, Germany, and Sweden. In all, 5,777 cases and 8,189 age-matched controls of European descent were genotyped by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and TaqMan. Risk estimates were calculated by interaction analysis and main effect analysis adjusted for age and study. Main effect analyses for women using any HRT for 10 years or longer (1,428 cases versus 1,724 controls) revealed a protective effect of the HSD17B1_937_G allele on breast cancer risk (OR 0.86, 95 % CI: 0.73-0.99; p = 0.048). Thus, our previous finding of a protective effect of the HSD17B1_937_G allele on HRT-associated breast cancer risk has now been confirmed both in independent large patient cohorts and a comprehensive pooled analysis supporting the hypothesis that a HSD17B1-mediated decreased conversion of estrone to the more potent 17β-estradiol may reduce the estrogenic effects, thereby reducing the risk of developing breast cancer during long-term HRT use.
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    Dietary intake of B vitamins and methionine and breast cancer risk
    Bassett, JK ; Baglietto, L ; Hodge, AM ; Severi, G ; Hopper, JL ; English, DR ; Giles, GG (SPRINGER, 2013-08)
    PURPOSE: We investigated prospectively the relationship between dietary intakes of methionine and B vitamins associated with one-carbon metabolism and breast cancer risk, including modification by age, hormone receptor status and alcohol consumption. Interactions between different B vitamins and methionine were also examined. METHODS: During follow-up of 20,756 women from the Melbourne Collaborative Cohort Study for an average of 16 years, we ascertained 936 incident breast cancers. Dietary intakes were estimated using a 121-item food frequency questionnaire. Hazard ratios (HR) and 95 % confidence intervals were estimated using Cox regression. RESULTS: We found weak evidence for an inverse association between breast cancer risk and riboflavin intake (fourth versus first quartile, HR Q4 vs. Q1 = 0.84 (0.69, 1.01); p linear trend = 0.05) and a positive association for vitamin B12 (HR Q4 vs. Q1 = 1.21 (1.00, 1.46); p linear trend = 0.06). We did not find any significant interactions between alcohol consumption and any of the B vitamins or methionine intake (all p interaction > 0.17) or between methionine or folate intake and any other B vitamins (all p interaction > 0.07). No association varied by tumor hormone receptor status (all p homogeneity > 0.14). CONCLUSIONS: We found weak evidence of an inverse association between breast cancer risk and riboflavin intake and a positive association with vitamin B12.
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    Reply to comment on: '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, 2013-02-19)
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    Population-Based Estimate of Prostate Cancer Risk for Carriers of the HOXB13 Missense Mutation G84E
    MacInnis, RJ ; Severi, G ; Baglietto, L ; Dowty, JG ; Jenkins, MA ; Southey, MC ; Hopper, JL ; Giles, GG ; Peterlongo, P (PUBLIC LIBRARY SCIENCE, 2013-02-15)
    The HOXB13 missense mutation G84E (rs138213197) is associated with increased risk of prostate cancer, but the current estimate of increased risk has a wide confidence interval (width of 95% confidence interval (CI) >200-fold) so the point estimate of 20-fold increased risk could be misleading. Population-based family studies can be more informative for estimating risks for rare variants, therefore, we screened for mutations in an Australian population-based series of early-onset prostate cancer cases (probands). We found that 19 of 1,384 (1.4%) probands carried the missense mutation, and of these, six (32%) had a family history of prostate cancer. We tested the 22 relatives of carriers diagnosed from 1998 to 2008 for whom we had a DNA sample, and found seven more carriers and one obligate carrier. The age-specific incidence for carriers was estimated to be, on average, 16.4 (95% CI 2.5-107.2) times that for the population over the time frame when the relatives were at risk prior to baseline. We then estimated the age and birth year- specific cumulative risk of prostate cancer (penetrance) for carriers. For example, the penetrance for an unaffected male carrier born in 1950 was 19% (95% CI 5-46%) at age 60 years, 44% (95% CI 18-74%) at age 70 years and 60% (95% CI 30-85%) at age 80 years. Our study has provided a population-based estimate of the average risk of prostate cancer for HOXB13 missense mutation G84E carriers that can be used to guide clinical practice and research. This study has also shown that the majority of hereditary prostate cancers due to the HOXB13 missense mutation are 'sporadic' in the sense that unselected cases with the missense mutation do not typically report having a family history of prostate cancer.