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Dive into the research topics where Helen Tsimiklis is active.

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Featured researches published by Helen Tsimiklis.


American Journal of Human Genetics | 2012

Rare Mutations in XRCC2 Increase the Risk of Breast Cancer

Daniel J. Park; Fabienne Lesueur; Tú Nguyen-Dumont; Maroulio Pertesi; Fabrice Odefrey; Fleur Hammet; Susan L. Neuhausen; Esther M. John; Irene L. Andrulis; Mb Terry; Mark J. Daly; S. Buys; F. Le Calvez-Kelm; Andrew Lonie; Bernard J. Pope; Helen Tsimiklis; Catherine Voegele; F.M. Hilbers; Nicoline Hoogerbrugge; A. Barroso; A Osorio; Graham G. Giles; Peter Devilee; Javier Benitez; John L. Hopper; Sean V. Tavtigian; David E. Goldgar; Melissa C. Southey

An exome-sequencing study of families with multiple breast-cancer-affected individuals identified two families with XRCC2 mutations, one with a protein-truncating mutation and one with a probably deleterious missense mutation. We performed a population-based case-control mutation-screening study that identified six probably pathogenic coding variants in 1,308 cases with early-onset breast cancer and no variants in 1,120 controls (the severity grading was p < 0.02). We also performed additional mutation screening in 689 multiple-case families. We identified ten breast-cancer-affected families with protein-truncating or probably deleterious rare missense variants in XRCC2. Our identification of XRCC2 as a breast cancer susceptibility gene thus increases the proportion of breast cancers that are associated with homologous recombination-DNA-repair dysfunction and Fanconi anemia and could therefore benefit from specific targeted treatments such as PARP (poly ADP ribose polymerase) inhibitors. This study demonstrates the power of massively parallel sequencing for discovering susceptibility genes for common, complex diseases.


BMC Biotechnology | 2013

The use of DNA from archival dried blood spots with the Infinium HumanMethylation450 array

Ji Hoon E. Joo; Ee Ming Wong; Laura Baglietto; Chol-Hee Jung; Helen Tsimiklis; Daniel J. Park; Nicholas C. Wong; Dallas R. English; John L. Hopper; Gianluca Severi; Graham G. Giles; Melissa C. Southey

BackgroundDried blood (Guthrie card) spots provide an efficient way to collect and store blood specimens. DNA from this source has been utilised for a number of molecular analyses including genome-wide association studies, but only few studies have tested the feasibility of using it for epigenetic applications, particularly at a genome-wide level.ResultsIn this study, we demonstrate the successful use of DNA isolated from archived dried blood spots for the Infinium HumanMethylation450 Beadchip, along with DNA from matched frozen buffy coats. We obtained high quality and reproducible genome-wide DNA methylation profiles using both sample types. We also report high correlations (r > 0.9907) between DNA obtained from matched dried blood spots and frozen buffy coats, sufficient to distinguish between unrelated individuals.ConclusionsWe, thus, demonstrate that DNA from archived dried blood spots is suitable for genome-wide DNA methylation profiling.


Cancer Epidemiology, Biomarkers & Prevention | 2016

Breast cancer risk prediction using clinical models and 77 independent risk-associated SNPs for women aged under 50 years: Australian Breast Cancer Family Registry

Gillian S. Dite; Robert J. MacInnis; Adrian Bickerstaffe; James G. Dowty; Richard Allman; Carmel Apicella; Roger L. Milne; Helen Tsimiklis; Kelly-Anne Phillips; Graham G. Giles; Mary Beth Terry; Melissa C. Southey; John L. Hopper

Background: The extent to which clinical breast cancer risk prediction models can be improved by including information on known susceptibility SNPs is not known. Methods: Using 750 cases and 405 controls from the population-based Australian Breast Cancer Family Registry who were younger than 50 years at diagnosis and recruitment, respectively, Caucasian and not BRCA1 or BRCA2 mutation carriers, we derived absolute 5-year risks of breast cancer using the BOADICEA, BRCAPRO, BCRAT, and IBIS risk prediction models and combined these with a risk score based on 77 independent risk-associated SNPs. We used logistic regression to estimate the OR per adjusted SD for log-transformed age-adjusted 5-year risks. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC). Calibration was assessed using the Hosmer–Lemeshow goodness-of-fit test. We also constructed reclassification tables and calculated the net reclassification improvement. Results: The ORs for BOADICEA, BRCAPRO, BCRAT, and IBIS were 1.80, 1.75, 1.67, and 1.30, respectively. When combined with the SNP-based score, the corresponding ORs were 1.96, 1.89, 1.80, and 1.52. The corresponding AUCs were 0.66, 0.65, 0.64, and 0.57 for the risk prediction models, and 0.70, 0.69, 0.66, and 0.63 when combined with the SNP-based score. Conclusions: By combining a 77 SNP-based score with clinical models, the AUC for predicting breast cancer before age 50 years improved by >20%. Impact: Our estimates of the increased performance of clinical risk prediction models from including genetic information could be used to inform targeted screening and prevention. Cancer Epidemiol Biomarkers Prev; 25(2); 359–65. ©2015 AACR.


Cancer Discovery | 2014

Rare Mutations in RINT1 Predispose Carriers to Breast and Lynch Syndrome–Spectrum Cancers

Daniel J. Park; Kayoko Tao; Florence Le Calvez-Kelm; Tú Nguyen-Dumont; Nivonirina Robinot; Fleur Hammet; Fabrice Odefrey; Helen Tsimiklis; Zhi L Teo; Louise B. Thingholm; Erin L. Young; Catherine Voegele; Andrew Lonie; Bernard J. Pope; Terrell C Roane; Russell Bell; Hao Hu; Shankaracharya; Chad D. Huff; Jonathan J Ellis; Jun Li; Igor V Makunin; Esther M. John; Irene L. Andrulis; Mary Beth Terry; Mary B. Daly; Saundra S. Buys; Carrie Snyder; Henry T. Lynch; Peter Devilee

UNLABELLED Approximately half of the familial aggregation of breast cancer remains unexplained. A multiple-case breast cancer family exome-sequencing study identified three likely pathogenic mutations in RINT1 (NM_021930.4) not present in public sequencing databases: RINT1 c.343C>T (p.Q115X), c.1132_1134del (p.M378del), and c.1207G>T (p.D403Y). On the basis of this finding, a population-based case-control mutation-screening study was conducted that identified 29 carriers of rare (minor allele frequency < 0.5%), likely pathogenic variants: 23 in 1,313 early-onset breast cancer cases and six in 1,123 frequency-matched controls [OR, 3.24; 95% confidence interval (CI), 1.29-8.17; P = 0.013]. RINT1 mutation screening of probands from 798 multiple-case breast cancer families identified four additional carriers of rare genetic variants. Analysis of the incidence of first primary cancers in families of women carrying RINT1 mutations estimated that carriers were at increased risk of Lynch syndrome-spectrum cancers [standardized incidence ratio (SIR), 3.35; 95% CI, 1.7-6.0; P = 0.005], particularly for relatives diagnosed with cancer under the age of 60 years (SIR, 10.9; 95% CI, 4.7-21; P = 0.0003). SIGNIFICANCE The work described in this study adds RINT1 to the growing list of genes in which rare sequence variants are associated with intermediate levels of breast cancer risk. Given that RINT1 is also associated with a spectrum of cancers with mismatch repair defects, these findings have clinical applications and raise interesting biological questions.


Analytical Biochemistry | 2013

Cross-platform compatibility of Hi-Plex, a streamlined approach for targeted massively parallel sequencing

Tú Nguyen-Dumont; Bernard J. Pope; Fleur Hammet; Maryam Mahmoodi; Helen Tsimiklis; Melissa C. Southey; Daniel J. Park

Although per-base sequencing costs have decreased during recent years, library preparation for targeted massively parallel sequencing remains constrained by high reagent cost, limited design flexibility, and protocol complexity. To address these limitations, we previously developed Hi-Plex, a polymerase chain reaction (PCR) massively parallel sequencing strategy for screening panels of genomic target regions. Here, we demonstrate that Hi-Plex applied with hybrid adapters can generate a library suitable for sequencing with both the Ion Torrent and the TruSeq chemistries and that adjusting primer concentrations improves coverage uniformity. These results expand Hi-Plex capabilities as an accurate, affordable, flexible, and rapid approach for various genetic screening applications.


BMC Medical Genomics | 2013

Hi-Plex for high-throughput mutation screening: application to the breast cancer susceptibility gene PALB2

Tú Nguyen-Dumont; Zhi L Teo; Bernard J. Pope; Fleur Hammet; Maryam Mahmoodi; Helen Tsimiklis; Nelly Sabbaghian; Marc Tischkowitz; William D. Foulkes; Graham G. Giles; John L. Hopper; Melissa C. Southey; Daniel J. Park

BackgroundMassively parallel sequencing (MPS) has revolutionised biomedical research and offers enormous capacity for clinical application. We previously reported Hi-Plex, a streamlined highly-multiplexed PCR-MPS approach, allowing a given library to be sequenced with both the Ion Torrent and TruSeq chemistries. Comparable sequencing efficiency was achieved using material derived from lymphoblastoid cell lines and formalin-fixed paraffin-embedded tumour.MethodsHere, we report high-throughput application of Hi-Plex by performing blinded mutation screening of the coding regions of the breast cancer susceptibility gene PALB2 on a set of 95 blood-derived DNA samples that had previously been screened using Sanger sequencing and high-resolution melting curve analysis (n = 90), or genotyped by Taqman probe-based assays (n = 5). Hi-Plex libraries were prepared simultaneously using relatively inexpensive, readily available reagents in a simple half-day protocol followed by MPS on a single MiSeq run.ResultsWe observed that 99.93% of amplicons were represented at ≥10X coverage. All 56 previously identified variant calls were detected and no false positive calls were assigned. Four additional variant calls were made and confirmed upon re-analysis of previous data or subsequent Sanger sequencing.ConclusionsThese results support Hi-Plex as a powerful approach for rapid, cost-effective and accurate high-throughput mutation screening. They further demonstrate that Hi-Plex methods are suitable for and can meet the demands of high-throughput genetic testing in research and clinical settings.


Allergy | 2016

Mould‐sensitized adults have lower Th2 cytokines and a higher prevalence of asthma than those sensitized to other aeroallergens

Melanie C. Matheson; Jeanette C. Reece; Rangi Kandane-Rathnayake; Mimi L.K. Tang; Julie A. Simpson; Iain Feather; Melissa C. Southey; Helen Tsimiklis; John L. Hopper; Stephen Morrison; Graham G. Giles; Eh Walters; Shyamali C. Dharmage

Evidence suggests that specific allergen sensitizations are associated with different allergic diseases which may reflect different underlying immune profiles. We aimed to examine the cytokine profiles of individuals sensitized to eight common aeroallergens.


International Journal of Obesity | 2018

Novel associations between blood DNA methylation and body mass index in middle-aged and older adults

Y. M. Geurts; P. A. Dugué; Jihoon E. Joo; Enes Makalic; Chol-Hee Jung; Weihua Guan; S. Nguyen; Megan L. Grove; Ee Ming Wong; Allison Hodge; J. K. Bassett; Liesel M. FitzGerald; Helen Tsimiklis; Laura Baglietto; Gianluca Severi; D. Schmidt; Daniel D. Buchanan; Robert J. MacInnis; John L. Hopper; James S. Pankow; Ellen W. Demerath; Melissa C. Southey; Graham G. Giles; Dallas R. English; Roger L. Milne

Background/Objectives:There is increasing evidence of a relationship between blood DNA methylation and body mass index (BMI). We aimed to assess associations of BMI with individual methylation measures (CpGs) through a cross-sectional genome-wide DNA methylation association study and a longitudinal analysis of repeated measurements over time.Subjects/Methods:Using the Illumina Infinium HumanMethylation450 BeadChip, DNA methylation measures were determined in baseline peripheral blood samples from 5361 adults recruited to the Melbourne Collaborative Cohort Study (MCCS) and selected for nested case–control studies, 2586 because they were subsequently diagnosed with cancer (cases) and 2775 as controls. For a subset of 1088 controls, these measures were repeated using blood samples collected at wave 2 follow-up, a median of 11 years later; weight was measured at both time points. Associations between BMI and blood DNA methylation were assessed using linear mixed-effects regression models adjusted for batch effects and potential confounders. These were applied to cases and controls separately, with results combined through fixed-effects meta-analysis.Results:Cross-sectional analysis identified 310 CpGs associated with BMI with P<1.0 × 10−7, 225 of which had not been reported previously. Of these 225 novel associations, 172 were replicated (P<0.05) using the Atherosclerosis Risk in Communities (ARIC) study. We also replicated using MCCS data (P<0.05) 335 of 392 associations previously reported with P<1.0 × 10−7, including 60 that had not been replicated before. Associations between change in BMI and change in methylation were observed for 34 of the 310 strongest signals in our cross-sectional analysis, including 7 that had not been replicated using the ARIC study.Conclusions:Together, these findings suggest that BMI is associated with blood DNA methylation at a large number of CpGs across the genome, several of which are located in or near genes involved in ATP-binding cassette transportation, tumour necrosis factor signalling, insulin resistance and lipid metabolism.


Familial Cancer | 2018

Targeted massively parallel sequencing characterises the mutation spectrum of PALB2 in breast and ovarian cancer cases from Poland and Ukraine

Aleksander Myszka; Tú Nguyen-Dumont; Pawel Karpinski; Maria M. Sasiadek; Hayane Akopyan; Fleur Hammet; Helen Tsimiklis; Daniel J. Park; Bernard J. Pope; Ryszard Slezak; Nataliya Kitsera; Aleksandra Siekierzynska; Melissa C. Southey

Loss-of-function germline mutations in the PALB2 gene are associated with an increase of breast cancer risk. The purpose of this study was to characterise the spectrum of PALB2 mutations in women affected with breast or ovarian cancer from South-West Poland and West Ukraine. We applied Hi-Plex, an amplicon-based enrichment method for targeted massively parallel sequencing, to screen the coding exons and proximal intron–exon junctions of PALB2 in germline DNA from unrelated women affected with breast cancer (n = 338) and ovarian cancer (n = 89) from Poland (n = 304) and Ukraine (n = 123). These women were at high-risk of carrying a genetic predisposition to breast and/or ovarian cancer due to a family history and/or early-onset disease. Targeted-sequencing identified two frameshift deletions: PALB2:c.509_510del; p.R170Ifs in three women affected with breast cancer and PALB2:c.172_175del;p.Q60Rfs in one woman affected with ovarian cancer. A number of other previously described missense (some predicted to be damaging by PolyPhen-2 and CADD) and synonymous mutations were also identified in this population. This study is consistent with previous reports that PALB2:c.509_510del and PALB2:c.172_175del are recurrent mutations associated with breast cancer predisposition in Polish women with a family history of the disease. Our study contributes to the accumulating evidence indicating that PALB2 should be included in genetic testing for breast cancer susceptibility in these populations to enhance risk assessment and management of women at high-risk of developing breast cancer. This data could also contribute to ongoing work that is assessing the possible association between ovarian cancer risk and PALB2 mutations for which there is currently no evidence.


BMC Medical Genetics | 2018

FANCM and RECQL genetic variants and breast cancer susceptibility: relevance to South Poland and West Ukraine

Tú Nguyen-Dumont; Aleksander Myszka; Pawel Karpinski; Maria M. Sasiadek; Hayane Akopyan; Fleur Hammet; Helen Tsimiklis; Daniel J. Park; Bernard J. Pope; Ryszard Slezak; Nataliya Kitsera; Aleksandra Siekierzynska; Melissa C. Southey

BackgroundFANCM and RECQL have recently been reported as breast cancer susceptibility genes and it has been suggested that they should be included on gene panel tests for breast cancer predisposition. However, the clinical value of testing for mutations in RECQL and FANCM remains to be determined. In this study, we have characterised the spectrum of FANCM and RECQL mutations in women affected with breast or ovarian cancer from South-West Poland and West Ukraine.MethodsWe applied Hi-Plex, an amplicon-based enrichment method for targeted massively parallel sequencing, to screen the coding exons and proximal intron-exon junctions of FANCM and RECQL in germline DNA from unrelated women affected with breast cancer (n = 338) and ovarian cancer (n = 89) from Poland (n = 304) and Ukraine (n = 123). These women were at high-risk of carrying a genetic predisposition to breast and/or ovarian cancer due to a family history and/or early-onset disease.ResultsAmong 427 women screened, we identified one carrier of the FANCM:c.1972C > T nonsense mutation (0.23%), and two carriers of the frameshift insertion FANCM:c.1491dup (0.47%). None of the variants we observed in RECQL were predicted to be loss-of-function mutations by standard variant effect prediction tools.ConclusionsOur study of the Polish and Ukrainian populations has identified a carrier frequency of truncating mutations in FANCM consistent with previous reports. Although initial reports suggesting that mutations in RECQL could be associated with increased breast cancer risk included women from Poland and identified the RECQL:c.1667_1667 + 3delAGTA mutation in 0.23–0.35% of breast cancer cases, we did not observe any carriers in our study cohort. Continued screening, both in research and diagnostic settings, will enable the accumulation of data that is needed to establish the clinical utility of including RECQL and FANCM on gene panel tests.

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Fleur Hammet

University of Melbourne

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Andrew Lonie

University of Melbourne

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Zhi L Teo

University of Melbourne

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