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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    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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    Rare, evolutionarily unlikely missense substitutions in CHEK2 contribute to breast cancer susceptibility: results from a breast cancer family registry case-control mutation-screening study
    Le Calvez-Kelm, F ; Lesueur, F ; Damiola, F ; Vallee, M ; Voegele, C ; Babikyan, D ; Durand, G ; Forey, N ; McKay-Chopin, S ; Robinot, N ; Nguyen-Dumont, T ; Thomas, A ; Byrnes, GB ; Hopper, JL ; Southey, MC ; Andrulis, IL ; John, EM ; Tavtigian, SV (BIOMED CENTRAL LTD, 2011)
    INTRODUCTION: Both protein-truncating variants and some missense substitutions in CHEK2 confer increased risk of breast cancer. However, no large-scale study has used full open reading frame mutation screening to assess the contribution of rare missense substitutions in CHEK2 to breast cancer risk. This absence has been due in part to a lack of validated statistical methods for summarizing risk attributable to large numbers of individually rare missense substitutions. METHODS: Previously, we adapted an in silico assessment of missense substitutions used for analysis of unclassified missense substitutions in BRCA1 and BRCA2 to the problem of assessing candidate genes using rare missense substitution data observed in case-control mutation-screening studies. The method involves stratifying rare missense substitutions observed in cases and/or controls into a series of grades ordered a priori from least to most likely to be evolutionarily deleterious, followed by a logistic regression test for trends to compare the frequency distributions of the graded missense substitutions in cases versus controls. Here we used this approach to analyze CHEK2 mutation-screening data from a population-based series of 1,303 female breast cancer patients and 1,109 unaffected female controls. RESULTS: We found evidence of risk associated with rare, evolutionarily unlikely CHEK2 missense substitutions. Additional findings were that (1) the risk estimate for the most severe grade of CHEK2 missense substitutions (denoted C65) is approximately equivalent to that of CHEK2 protein-truncating variants; (2) the population attributable fraction and the familial relative risk explained by the pool of rare missense substitutions were similar to those explained by the pool of protein-truncating variants; and (3) post hoc power calculations implied that scaling up case-control mutation screening to examine entire biochemical pathways would require roughly 2,000 cases and controls to achieve acceptable statistical power. CONCLUSIONS: This study shows that CHEK2 harbors many rare sequence variants that confer increased risk of breast cancer and that a substantial proportion of these are missense substitutions. The study validates our analytic approach to rare missense substitutions and provides a method to combine data from protein-truncating variants and rare missense substitutions into a one degree of freedom per gene test.
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    Multigene testing of moderate-risk genes: be mindful of the missense
    Young, EL ; Feng, BJ ; Stark, AW ; Damiola, F ; Durand, G ; Forey, N ; Francy, TC ; Gammon, A ; Kohlmann, WK ; Kaphingst, KA ; McKay-Chopin, S ; Nguyen-Dumont, T ; Oliver, J ; Paquette, AM ; Pertesi, M ; Robinot, N ; Rosenthal, JS ; Vallee, M ; Voegele, C ; Hopper, JL ; Southey, MC ; Andrulis, IL ; John, EM ; Hashibe, M ; Gertz, J ; Le Calvez-Kelm, F ; Lesueur, F ; Goldgar, DE ; Tavtigian, SV (BMJ PUBLISHING GROUP, 2016-06)
    BACKGROUND: Moderate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established. METHODS: We evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold. RESULTS: Analysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5. CONCLUSIONS: Among early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants.
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    The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer
    Figlioli, G ; Bogliolo, M ; Catucci, I ; Caleca, L ; Viz Lasheras, S ; Pujol, R ; Kiiski, J ; Muranen, TA ; Barnes, DR ; Dennis, J ; Michailidou, K ; Bolla, MK ; Leslie, G ; Aalfs, CM ; Adank, MA ; Adlard, J ; Agata, S ; Cadoo, K ; Agnarsson, BA ; Ahearn, T ; Aittomaki, K ; Ambrosone, CB ; Andrews, L ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Arnold, N ; Aronson, KJ ; Arun, BK ; Asseryanis, E ; Auber, B ; Auvinen, P ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Barrowdale, D ; Barwell, J ; Freeman, LEB ; Beauparlant, CJ ; Beckmann, MW ; Behrens, S ; Benitez, J ; Berger, R ; Bermisheva, M ; Blanco, AM ; Blomqvist, C ; Bogdanova, N ; Bojesen, A ; Bojesen, SE ; Bonanni, B ; Borg, A ; Brady, AF ; Brauch, H ; Brenner, H ; Bruening, T ; Burwinkel, B ; Buys, SS ; Caldes, T ; Caliebe, A ; Caligo, MA ; Campa, D ; Campbell, IG ; Canzian, F ; Castelao, JE ; Chang-Claude, J ; Chanock, SJ ; Claes, KBM ; Clarke, CL ; Collavoli, A ; Conner, TA ; Cox, DG ; Cybulski, C ; Czene, K ; Daly, MB ; de la Hoya, M ; Devilee, P ; Diez, O ; Ding, YC ; Dite, GS ; Ditsch, N ; Domchek, SM ; Dorfling, CM ; dos-Santos-Silva, I ; Durda, K ; Dwek, M ; Eccles, DM ; Ekici, AB ; Eliassen, AH ; Ellberg, C ; Eriksson, M ; Evans, DG ; Fasching, PA ; Figueroa, J ; Flyger, H ; Foulkes, WD ; Friebel, TM ; Friedman, E ; Gabrielson, M ; Gaddam, P ; Gago-Dominguez, M ; Gao, C ; Gapstur, SM ; Garber, J ; Garcia-Closas, M ; Garcia-Saenz, JA ; Gaudet, MM ; Gayther, SA ; Giles, GG ; Glendon, G ; Godwin, AK ; Goldberg, MS ; Goldgar, DE ; Guenel, P ; Gutierrez-Barrera, AM ; Haeberle, L ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hein, A ; Heyworth, J ; Hillemanns, P ; Hollestelle, A ; Hopper, JL ; Hosgood, HD ; Howell, A ; Hu, C ; Hulick, PJ ; Hunter, DJ ; Imyanitov, EN ; Isaacs, C ; Jakimovska, M ; Jakubowska, A ; James, P ; Janavicius, R ; Janni, W ; John, EM ; Jones, ME ; Jung, A ; Kaaks, R ; Karlan, BY ; Khusnutdinova, E ; Kitahara, CM ; Konstantopoulou, I ; Koutros, S ; Kraft, P ; Lambrechts, D ; Lazaro, C ; Le Marchand, L ; Lester, J ; Lesueur, F ; Lilyquist, J ; Loud, JT ; Lu, KH ; Luben, RN ; Lubinski, J ; Mannermaa, A ; Manoochehri, M ; Manoukian, S ; Margolin, S ; Martens, JWM ; Maurer, T ; Mavroudis, D ; Mebirouk, N ; Meindl, A ; Menon, U ; Miller, A ; Montagna, M ; Nathanson, KL ; Neuhausen, SL ; Newman, WG ; Nguyen-Dumont, T ; Nielsen, FC ; Nielsen, S ; Nikitina-Zake, L ; Offit, K ; Olah, E ; Olopade, O ; Olshan, AF ; Olson, JE ; Olsson, H ; Osorio, A ; Ottini, L ; Peissel, B ; Peixoto, A ; Peto, J ; Plaseska-Karanfilska, D ; Pocza, T ; Presneau, N ; Angel Pujana, M ; Punie, K ; Rack, B ; Rantala, J ; Rashid, MU ; Rau-Murthy, R ; Rennert, G ; Lejbkowicz, F ; Rhenius, V ; Romero, A ; Rookus, MA ; Ross, EA ; Rossing, M ; Rudaitis, V ; Ruebner, M ; Saloustros, E ; Sanden, K ; Santamarina, M ; Scheuner, MT ; Schmutzler, RK ; Schneider, M ; Scott, C ; Senter, L ; Shah, M ; Sharma, P ; Shu, X-O ; Simard, J ; Singer, CF ; Sohn, C ; Soucy, P ; Southey, MC ; Spinelli, JJ ; Steele, L ; Stoppa-Lyonnet, D ; Tapper, WJ ; Teixeira, MR ; Terry, MB ; Thomassen, M ; Thompson, J ; Thull, DL ; Tischkowitz, M ; Tollenaar, RAEM ; Torres, D ; Troester, MA ; Truong, T ; Tung, N ; Untch, M ; Vachon, CM ; van Rensburg, EJ ; van Veen, EM ; Vega, A ; Viel, A ; Wappenschmidt, B ; Weitzel, JN ; Wendt, C ; Wieme, G ; Wolk, A ; Yang, XR ; Zheng, W ; Ziogas, A ; Zorn, KK ; Dunning, AM ; Lush, M ; Wang, Q ; McGuffog, L ; Parsons, MT ; Pharoah, PDP ; Fostira, F ; Toland, AE ; Andrulis, IL ; Ramus, SJ ; Swerdlow, AJ ; Greene, MH ; Chung, WK ; Milne, RL ; Chenevix-Trench, G ; Doerk, T ; Schmidt, MK ; Easton, DF ; Radice, P ; Hahnen, E ; Antoniou, AC ; Couch, FJ ; Nevanlinna, H ; Surralles, J ; Peterlongo, P ; Balleine, R ; Baxter, R ; Braye, S ; Carpenter, J ; Dahlstrom, J ; Forbes, J ; Lee, CS ; Marsh, D ; Morey, A ; Pathmanathan, N ; Scott, R ; Simpson, P ; Spigelman, A ; Wilcken, N ; Yip, D ; Zeps, N ; Belotti, M ; Bertrand, O ; Birot, A-M ; Buecher, B ; Caputo, S ; Dupre, A ; Fourme, E ; Gauthier-Villars, M ; Golmard, L ; Le Mentec, M ; Moncoutier, V ; de Pauw, A ; Saule, C ; Boutry-Kryza, N ; Calender, A ; Giraud, S ; Leone, M ; Bressac-de-Paillerets, B ; Caron, O ; Guillaud-Bataille, M ; Bignon, Y-J ; Uhrhammer, N ; Bonadona, V ; Lasset, C ; Berthet, P ; Castera, L ; Vaur, D ; Bourdon, V ; Nogues, C ; Noguchi, T ; Popovici, C ; Remenieras, A ; Sobol, H ; Coupier, I ; Pujol, P ; Adenis, C ; Dumont, A ; Revillion, F ; Muller, D ; Barouk-Simonet, E ; Bonnet, F ; Bubien, V ; Longy, M ; Sevenet, N ; Gladieff, L ; Guimbaud, R ; Feillel, V ; Toulas, C ; Dreyfus, H ; Leroux, CD ; Peysselon, M ; Rebischung, C ; Legrand, C ; Baurand, A ; Bertolone, G ; Coron, F ; Faivre, L ; Jacquot, C ; Lizard, S ; Kientz, C ; Lebrun, M ; Prieur, F ; Fert-Ferrer, S ; Mari, V ; Venat-Bouvet, L ; Bezieau, S ; Delnatte, C ; Mortemousque, I ; Colas, C ; Coulet, F ; Soubrier, F ; Warcoin, M ; Bronner, M ; Sokolowska, J ; Collonge-Rame, M-A ; Damette, A ; Gesta, P ; Lallaoui, H ; Chiesa, J ; Molina-Gomes, D ; Ingster, O ; Manouvrier-Hanu, S ; Lejeune, S ; Aghmesheh, M ; Greening, S ; Amor, D ; Gattas, M ; Botes, L ; Buckley, M ; Friedlander, M ; Koehler, J ; Meiser, B ; Saleh, M ; Salisbury, E ; Trainer, A ; Tucker, K ; Antill, Y ; Dobrovic, A ; Fellows, A ; Fox, S ; Harris, M ; Nightingale, S ; Phillips, K ; Sambrook, J ; Thorne, H ; Armitage, S ; Arnold, L ; Kefford, R ; Kirk, J ; Rickard, E ; Bastick, P ; Beesley, J ; Hayward, N ; Spurdle, A ; Walker, L ; Beilby, J ; Saunders, C ; Bennett, I ; Blackburn, A ; Bogwitz, M ; Gaff, C ; Lindeman, G ; Pachter, N ; Scott, C ; Sexton, A ; Visvader, J ; Taylor, J ; Winship, I ; Brennan, M ; Brown, M ; French, J ; Edwards, S ; Burgess, M ; Burke, J ; Patterson, B ; Butow, P ; Culling, B ; Caldon, L ; Callen, D ; Chauhan, D ; Eisenbruch, M ; Heiniger, L ; Chauhan, M ; Christian, A ; Dixon, J ; Kidd, A ; Cohen, P ; Colley, A ; Fenton, G ; Crook, A ; Dickson, R ; Field, M ; Cui, J ; Cummings, M ; Dawson, S-J ; DeFazio, A ; Delatycki, M ; Dudding, T ; Edkins, T ; Farshid, G ; Flanagan, J ; Fong, P ; Forrest, L ; Gallego-Ortega, D ; George, P ; Gill, G ; Kollias, J ; Haan, E ; Hart, S ; Jenkins, M ; Hunt, C ; Lakhani, S ; Lipton, L ; Lobb, L ; Mann, G ; McLachlan, SA ; O'Connell, S ; O'Sullivan, S ; Pieper, E ; Robinson, B ; Saunus, J ; Scott, E ; Shelling, A ; Williams, R ; Young, MA (Springer Nature, 2019-11-01)
    Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
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    Is RNASEL:p.Glu265*a modifier of early-onset breast cancer risk for carriers of high-risk mutations?
    Nguyen-Dumont, T ; Teo, ZL ; Hammet, F ; Roberge, A ; Mahmoodi, M ; Tsimiklis, H ; Park, DJ ; Pope, BJ ; Lonie, A ; Kapuscinski, MK ; Mahmood, K ; Goldgar, DE ; Giles, GG ; Winship, I ; Hopper, JL ; Southey, MC (BIOMED CENTRAL LTD, 2018-02-08)
    BACKGROUND: Breast cancer risk for BRCA1 and BRCA2 pathogenic mutation carriers is modified by risk factors that cluster in families, including genetic modifiers of risk. We considered genetic modifiers of risk for carriers of high-risk mutations in other breast cancer susceptibility genes. METHODS: In a family known to carry the high-risk mutation PALB2:c.3113G>A (p.Trp1038*), whole-exome sequencing was performed on germline DNA from four affected women, three of whom were mutation carriers. RESULTS: RNASEL:p.Glu265* was identified in one of the PALB2 carriers who had two primary invasive breast cancer diagnoses before 50 years. Gene-panel testing of BRCA1, BRCA2, PALB2 and RNASEL in the Australian Breast Cancer Family Registry identified five carriers of RNASEL:p.Glu265* in 591 early onset breast cancer cases. Three of the five women (60%) carrying RNASEL:p.Glu265* also carried a pathogenic mutation in a breast cancer susceptibility gene compared with 30 carriers of pathogenic mutations in the 586 non-carriers of RNASEL:p.Glu265* (5%) (p < 0.002). Taqman genotyping demonstrated that the allele frequency of RNASEL:p.Glu265* was similar in affected and unaffected Australian women, consistent with other populations. CONCLUSION: Our study suggests that RNASEL:p.Glu265* may be a genetic modifier of risk for early-onset breast cancer predisposition in carriers of high-risk mutations. Much larger case-case and case-control studies are warranted to test the association observed in this report.