Melbourne School of Population and Global Health - Research Publications

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    Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
    Southey, MC ; Dowty, JG ; Riaz, M ; Steen, JA ; Renault, A-L ; Tucker, K ; Kirk, J ; James, P ; Winship, I ; Pachter, N ; Poplawski, N ; Grist, S ; Park, DJ ; Pope, BJ ; Mahmood, K ; Hammet, F ; Mahmoodi, M ; Tsimiklis, H ; Theys, D ; Rewse, A ; Willis, A ; Morrow, A ; Speechly, C ; Harris, R ; Sebra, R ; Schadt, E ; Lacaze, P ; McNeil, JJ ; Giles, GG ; Milne, RL ; Hopper, JL ; Nguyen-Dumont, T (NATURE PORTFOLIO, 2021-12-09)
    Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Most prior research has been based on women selected for high-risk features and more data is needed to make inference about breast cancer risk for women unselected for family history, an important consideration of population screening. We tested 1464 women diagnosed with breast cancer and 862 age-matched controls participating in the Australian Breast Cancer Family Study (ABCFS), and 6549 healthy, older Australian women enroled in the ASPirin in Reducing Events in the Elderly (ASPREE) study for rare germline variants using a 24-gene-panel. Odds ratios (ORs) were estimated using unconditional logistic regression adjusted for age and other potential confounders. We identified pathogenic variants in 11.1% of the ABCFS cases, 3.7% of the ABCFS controls and 2.2% of the ASPREE (control) participants. The estimated breast cancer OR [95% confidence interval] was 5.3 [2.1-16.2] for BRCA1, 4.0 [1.9-9.1] for BRCA2, 3.4 [1.4-8.4] for ATM and 4.3 [1.0-17.0] for PALB2. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.
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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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    Rare germline genetic variants and risk of aggressive prostate cancer
    Nguyen-Dumont, T ; MacInnis, RJ ; Steen, JA ; Theys, D ; Tsimiklis, H ; Hammet, F ; Mahmoodi, M ; Pope, BJ ; Park, DJ ; Mahmood, K ; Severi, G ; Bolton, D ; Milne, RL ; Giles, GG ; Southey, MC (WILEY, 2020-10-15)
    Few genetic risk factors have been demonstrated to be specifically associated with aggressive prostate cancer (PrCa). Here, we report a case-case study of PrCa comparing the prevalence of germline pathogenic/likely pathogenic (P/LP) genetic variants in 787 men with aggressive disease and 769 with nonaggressive disease. Overall, we observed P/LP variants in 11.4% of men with aggressive PrCa and 9.8% of men with nonaggressive PrCa (two-tailed Fisher's exact tests, P = .28). The proportion of BRCA2 and ATM P/LP variant carriers in men with aggressive PrCa exceeded that observed in men with nonaggressive PrCa; 18/787 carriers (2.3%) and 4/769 carriers (0.5%), P = .004, and 14/787 carriers (0.02%) and 5/769 carriers (0.01%), P = .06, respectively. Our findings contribute to the extensive international effort to interpret the genetic variation identified in genes included on gene-panel tests, for which there is currently an insufficient evidence-base for clinical translation in the context of PrCa risk.
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    Monoallelic NTHL1 Loss-of-Function Variants and Risk of Polyposis and Colorectal Cancer
    Elsayed, FA ; Grolleman, JE ; Ragunathan, A ; Buchanan, DD ; van Wezel, T ; de Voer, RM (W B SAUNDERS CO-ELSEVIER INC, 2020-12)
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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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    Prevalence of PALB2 mutations in Australasian multiple-case breast cancer families
    Teo, ZL ; Park, DJ ; Provenzano, E ; Chatfield, CA ; Odefrey, FA ; Tu, N-D ; Dowty, JG ; Hopper, JL ; Winship, I ; Goldgar, DE ; Southey, MC (BMC, 2013)
    INTRODUCTION: Population-based studies of breast cancer have estimated that some PALB2 mutations confer a breast cancer risk (penetrance) comparable to the average pathogenic mutation in BRCA2. As this risk is of clinical relevance, we sought to identify mono-allelic PALB2 mutations and determine their frequencies in multiple-case breast cancer families attending Familial Cancer Clinics in Australia and New Zealand. METHODS: The youngest affected woman, not known to carry a mutation in BRCA1 or BRCA2, from 747 multiple-case breast cancer families participating in kConFab were selected for PALB2 mutation screening. The coding and flanking intronic regions of PALB2 in DNA extracted from blood were screened using high-resolution melt curve analysis with Sanger sequencing confirmation. Where possible, relatives of women found to carry PALB2 mutations were genotyped for the family-specific mutation, mutant transcripts were characterised and breast tumours arising in mutation carriers were recalled and reviewed. Missense mutations were assessed for potential to disrupt protein function via SIFT, Align GVGD and Polyphen-2. RESULTS: The mutation screen identified two nonsense mutations (PALB2 c.3113G>A in eight women and PALB2 c.196C>T in one woman), two frameshift mutations (PALB2 c.1947_1948insA and PALB2 c.2982_2983insT each in one woman), 10 missense variants, eight synonymous variants and four variants in intronic regions. Of the four PALB2 mutations identified that were predicted to produce truncated protein products, only PALB2 c.1947_1948insA had not previously been reported. PALB2 c.3113G>A and PALB2 c.196C>T were previously identified in the Australian population whereas PALB2 c.2982_2983insT was previously reported in the UK population. Transcripts derived from three of these mutant PALB2 alleles were vulnerable to nonsense-mediated decay. One missense mutation (PALB2 c.2993G>A) was predicted to disrupt protein function via the three in silico assessment methods applied. The majority of breast cancers arising in carriers that were available for review were high-grade invasive ductal carcinomas. CONCLUSIONS: About 1.5% (95% CI 0.6to 2.4) of Australasian multiple-case breast cancer families attending clinics are segregating protein-truncating mutations in PALB2, most being PALB2 c.3113G>A, p.Trp1038*. Given the prevalence, breast cancer risk, and tumour grade associated with this mutation, consideration of clinical PALB2 testing is warranted.
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    A PALB2 mutation associated with high risk of breast cancer
    Southey, MC ; Teo, ZL ; Dowty, JG ; Odefrey, FA ; Park, DJ ; Tischkowitz, M ; Sabbaghian, N ; Apicella, C ; Byrnes, GB ; Winship, I ; Baglietto, L ; Giles, GG ; Goldgar, DE ; Foulkes, WD ; Hopper, JL (BMC, 2010)
    NTRODUCTION: As a group, women who carry germline mutations in partner and localizer of breast cancer 2 susceptibility protein (PALB2) are at increased risk of breast cancer. Little is known about by how much or whether risk differs by mutation or family history, owing to the paucity of studies of cases unselected for family history. METHODS: We screened 1,403 case probands for PALB2 mutations in a population-based study of Australian women with invasive breast cancer stratified by age at onset. The age-specific risk of breast cancer was estimated from the cancer histories of first- and second-degree relatives of mutation-carrying probands using a modified segregation analysis that included a polygenic modifier and was conditioned on the carrier case proband. Further screening for PALB2 c.3113G > A (W1038X) was conducted for 779 families with multiple cases of breast cancer ascertained through family cancer clinics in Australia and New Zealand and 764 population-based controls. RESULTS: We found five independent case probands in the population-based sample with the protein-truncating mutation PALB2 c.3113G > A (W1038X); 2 of 695 were diagnosed before age 40 years and 3 of 708 were diagnosed when between ages 40 and 59 years. Both of the two early-onset carrier case probands had very strong family histories of breast cancer. Further testing found that the mutation segregated with breast cancer in these families. No c.3113G > A (W1038X) carriers were found in 764 population-based unaffected controls. The hazard ratio was estimated to be 30.1 (95% confidence interval (CI), 7.5 to 120; P < 0.0001), and the corresponding cumulative risk estimates were 49% (95% CI, 15 to 93) to age 50 and 91% (95% CI, 44 to 100) to age 70. We found another eight families carrying this mutation in 779 families with multiple cases of breast cancer ascertained through family cancer clinics. CONCLUSIONS: The PALB2 c.3113G > A mutation appears to be associated with substantial risks of breast cancer that are of clinical relevance.
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    Genome-wide measures of DNA methylation in peripheral blood and the risk of urothelial cell carcinoma: a prospective nested case-control study
    Dugue, P-A ; Brinkman, MT ; Milne, RL ; Wong, EM ; FitzGerald, LM ; Bassett, JK ; Joo, JE ; Jung, C-H ; Makalic, E ; Schmidt, DF ; Park, DJ ; Chung, J ; Ta, AD ; Bolton, DM ; Lonie, A ; Longano, A ; Hopper, JL ; Severi, G ; Saffery, R ; English, DR ; Southey, MC ; Giles, GG (SPRINGERNATURE, 2016-09)
    BACKGROUND: Global DNA methylation has been reported to be associated with urothelial cell carcinoma (UCC) by studies using blood samples collected at diagnosis. Using the Illumina HumanMethylation450 assay, we derived genome-wide measures of blood DNA methylation and assessed them for their prospective association with UCC risk. METHODS: We used 439 case-control pairs from the Melbourne Collaborative Cohort Study matched on age, sex, country of birth, DNA sample type, and collection period. Conditional logistic regression was used to compute odds ratios (OR) of UCC risk per s.d. of each genome-wide measure of DNA methylation and 95% confidence intervals (CIs), adjusted for potential confounders. We also investigated associations by disease subtype, sex, smoking, and time since blood collection. RESULTS: The risk of superficial UCC was decreased for individuals with higher levels of our genome-wide DNA methylation measure (OR=0.71, 95% CI: 0.54-0.94; P=0.02). This association was particularly strong for current smokers at sample collection (OR=0.47, 95% CI: 0.27-0.83). Intermediate levels of our genome-wide measure were associated with decreased risk of invasive UCC. Some variation was observed between UCC subtypes and the location and regulatory function of the CpGs included in the genome-wide measures of methylation. CONCLUSIONS: Higher levels of our genome-wide DNA methylation measure were associated with decreased risk of superficial UCC and intermediate levels were associated with reduced risk of invasive disease. These findings require replication by other prospective studies.
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    sEst: Accurate Sex-Estimation and Abnormality Detection in Methylation Microarray Data
    Jung, C-H ; Park, DJ ; Georgeson, P ; Mahmood, K ; Milne, RL ; Southey, MC ; Pope, BJ (MDPI, 2018-10)
    DNA methylation influences predisposition, development and prognosis for many diseases, including cancer. However, it is not uncommon to encounter samples with incorrect sex labelling or atypical sex chromosome arrangement. Sex is one of the strongest influencers of the genomic distribution of DNA methylation and, therefore, correct assignment of sex and filtering of abnormal samples are essential for the quality control of study data. Differences in sex chromosome copy numbers between sexes and X-chromosome inactivation in females result in distinctive sex-specific patterns in the distribution of DNA methylation levels. In this study, we present a software tool, sEst, which incorporates clustering analysis to infer sex and to detect sex-chromosome abnormalities from DNA methylation microarray data. Testing with two publicly available datasets demonstrated that sEst not only correctly inferred the sex of the test samples, but also identified mislabelled samples and samples with potential sex-chromosome abnormalities, such as Klinefelter syndrome and Turner syndrome, the latter being a feature not offered by existing methods. Considering that sex and the sex-chromosome abnormalities can have large effects on many phenotypes, including diseases, our method can make a significant contribution to DNA methylation studies that are based on microarray platforms.
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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.