Kelly-Anne Phillips

Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia

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Publications (53)408.9 Total impact

  • Kelly-Anne Phillips, Fiona J Bruinsma, Roger L Milne
    The Medical journal of Australia 10/2014; 201(7):381. · 3.79 Impact Factor
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    ABSTRACT: Decision support tools for the assessment and management of breast cancer risk may improve uptake of prevention strategies. End-user input in the design of such tools is critical to increase clinical use. Before developing such a computerized tool, we examined clinicians' practice and future needs. Twelve breast surgeons, 12 primary care physicians and 5 practice nurses participated in 4 focus groups. These were recorded, coded, and analyzed to identify key themes. Participants identified difficulties assessing risk, including a lack of available tools to standardize practice. Most expressed confidence identifying women at potentially high risk, but not moderate risk. Participants felt a tool could especially reassure young women at average risk. Desirable features included: evidence-based, accessible (e.g. web-based), and displaying absolute (not relative) risks in multiple formats. The potential to create anxiety was a concern. Development of future tools should address these issues to optimize translation of knowledge into clinical practice.
    Breast (Edinburgh, Scotland) 07/2014; · 2.09 Impact Factor
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    ABSTRACT: Objective Selective Estrogen Receptor Modulators (SERMs) reduce breast cancer risk by 38%. However, uptake is low and the reasons are not well understood. This study applied Protection Motivation Theory (PMT) to determine factors associated with intention to take SERMs. Methods Women at increased risk of breast cancer (N = 107), recruited from two familial cancer clinics in Australia, completed a questionnaire containing measures of PMT constructs. Hierarchical multiple linear regression analysis was used to analyze the data. Results Forty-five percent of women said they would be likely or very likely to take SERMs in the future. PMT components accounted for 40% of variance in intention to take SERMs. Perceived vulnerability, severity and response efficacy appeared the most influential in women's decisions to take or not take SERMs. Conclusion Many women are interested in SERMs as a risk management option. Accurate risk estimation and an understanding of the benefits of SERMs are critical to women's decision making. Practice Implications: Health professionals need to explore women's perceptions of their risk and its consequences, as well as providing clear evidence-based information about the efficacy of SERMs. Exploring the source and strength of beliefs about SERMs may allow more effective, tailored counseling.
    Patient Education and Counseling 07/2014; · 2.60 Impact Factor
  • SpringerPlus 05/2014; 3(264).
  • Australian Journal of Primary Health 01/2014; · 1.22 Impact Factor
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    ABSTRACT: Large population-based registry studies have shown that breast cancer prognosis is inherited. Here we analyse single-nucleotide polymorphisms (SNPs) of genes implicated in human immunology and inflammation as candidates for prognostic markers of breast cancer survival involving 1,804 oestrogen receptor (ER)-negative patients treated with chemotherapy (279 events) from 14 European studies in a prior large-scale genotyping experiment, which is part of the Collaborative Oncological Gene-environment Study (COGS) initiative. We carry out replication using Asian COGS samples (n=522, 53 events) and the Prospective Study of Outcomes in Sporadic versus Hereditary breast cancer (POSH) study (n=315, 108 events). Rs4458204_A near CCL20 (2q36.3) is found to be associated with breast cancer-specific death at a genome-wide significant level (n=2,641, 440 events, combined allelic hazard ratio (HR)=1.81 (1.49-2.19); P for trend=1.90 × 10(-9)). Such survival-associated variants can represent ideal targets for tailored therapeutics, and may also enhance our current prognostic prediction capabilities.
    Nature Communications 01/2014; 5:4051. · 10.74 Impact Factor
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    ABSTRACT: This study assessed the sociodemographic, medical and psychological predictors of accuracy of perceived risk in women at increased genetic risk for ovarian cancer. Women participating in a large cohort study who were at increased risk of ovarian and fallopian tube cancer, had no personal history of cancer and had ≥1 ovary in situ at cohort enrolment, were eligible. Women completed self-administered questionnaires and attended an interview at enrolment. Of 2,868 women unaffected with cancer at cohort enrolment, 561 were eligible. 335 women (59.8 %) overestimated their ovarian cancer risk, while 215 women (38.4 %) accurately estimated their risk, and 10 (1.8 %) underestimated it. Women who did not know their mutation status were more likely to overestimate their risk (OR 1.74, 95 % CI 1.10, 2.77, p = 0.018), as were those with higher cancer-specific anxiety (OR 1.05, 95 % CI 1.02, 1.08, p < 0.001) and/or a mother who had been diagnosed with ovarian cancer (OR 1.98, 95 % CI 1.23, 3.18, p = 0.005). Amongst the group of women who did not know their mutation status, 63.3 % overestimated their risk and the mean perceived lifetime risk of developing ovarian cancer was 42.1 %, compared to a mean objective risk of 6.4 %. A large number of women at increased risk for ovarian cancer overestimate their risk. This is of concern especially in women who are at moderately increased risk only; for this sub-group of women, interventions are needed to reduce potentially unnecessary psychological distress and minimise engagement in unnecessary surgery or screening.
    Familial Cancer 10/2013; · 1.94 Impact Factor
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    ABSTRACT: Limited data suggest that germline BRCA1 mutations are associated with occult primary ovarian insufficiency and that BRCA1 and BRCA2 mutation carriers might have earlier natural menopause (NM) than their noncarrier relatives. Eligible women were mutation carriers and noncarriers from families segregating a BRCA1 or BRCA2 mutation. Data were self-reported using uniform questionnaires at cohort entry and every 3 years thereafter. NM was defined as the cessation of menses for 12 months without another cause. Cox proportional hazards analysis modeled time from birth to NM, adjusting for multiple potential confounders. Analysis time was censored at the earliest of the following: last follow-up, bilateral oophorectomy, hysterectomy, commencement of hormone therapy, insertion of intrauterine device, or any cancer diagnosis. Hazard ratios (HRs) were estimated as a measure of how likely mutation carriers are, relative to noncarriers, to reach NM at a given age. A total of 1,840 women were eligible for analysis. Overall only 19% reached NM. A lower proportion of BRCA1 and BRCA2 mutation carriers reached NM compared with noncarriers. Conversely, a higher proportion of mutation carriers were censored at cancer diagnosis or oophorectomy than noncarriers. The adjusted HR estimates for NM were 1.03 (95% CI, 0.75 to 1.40; P = .9) for 445 BRCA1 mutation carriers and 559 noncarrier relatives and 1.01 (95% CI, 0.71 to 1.42; P = .9) for 374 BRCA2 mutation carriers and 462 noncarrier relatives. We found no evidence that BRCA1 and BRCA2 mutation carriers are at higher risk of NM at a given age than their noncarrier relatives.
    Journal of Clinical Oncology 09/2013; · 17.88 Impact Factor
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    ABSTRACT: PURPOSETo determine whether adjuvant tamoxifen treatment for breast cancer (BC) is associated with reduced contralateral breast cancer (CBC) risk for BRCA1 and/or BRCA2 mutation carriers. METHODS Analysis of pooled observational cohort data, self-reported at enrollment and at follow-up from the International BRCA1, and BRCA2 Carrier Cohort Study, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, and Breast Cancer Family Registry. Eligible women were BRCA1 and BRCA2 mutation carriers diagnosed with unilateral BC since 1970 and no other invasive cancer or tamoxifen use before first BC. Hazard ratios (HRs) for CBC associated with tamoxifen use were estimated using Cox regression, adjusting for year and age of diagnosis, country, and bilateral oophorectomy and censoring at contralateral mastectomy, death, or loss to follow-up.ResultsOf 1,583 BRCA1 and 881 BRCA2 mutation carriers, 383 (24%) and 454 (52%), respectively, took tamoxifen after first BC diagnosis. There were 520 CBCs over 20,104 person-years of observation. The adjusted HR estimates were 0.38 (95% CI, 0.27 to 0.55) and 0.33 (95% CI, 0.22 to 0.50) for BRCA1 and BRCA2 mutation carriers, respectively. After left truncating at recruitment to the cohort, adjusted HR estimates were 0.58 (95% CI, 0.29 to 1.13) and 0.48 (95% CI, 0.22 to 1.05) based on 657 BRCA1 and 426 BRCA2 mutation carriers with 100 CBCs over 4,392 person-years of prospective follow-up. HRs did not differ by estrogen receptor status of the first BC (missing for 56% of cases). CONCLUSION This study provides evidence that tamoxifen use is associated with a reduction in CBC risk for BRCA1 and BRCA2 mutation carriers. Further follow-up of these cohorts will provide increased statistical power for future prospective analyses.
    Journal of Clinical Oncology 08/2013; · 17.88 Impact Factor
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    ABSTRACT: It has been shown that, for women aged 50 years or older, the discriminatory accuracy of the Breast Cancer Risk Prediction Tool (BCRAT) can be modestly improved by the inclusion of information on common single nucleotide polymorphisms (SNPs) that are associated with increased breast cancer risk. We aimed to determine whether a similar improvement is seen for earlier onset disease. We used the Australian Breast Cancer Family Registry to study a population-based sample of 962 cases aged 35-59 years, and 463 controls frequency matched for age and for whom genotyping data was available. Overall, the inclusion of data on seven SNPs improved the area under the receiver operating characteristic curve (AUC) from 0.58 (95 % confidence interval [CI] 0.55-0.61) for BCRAT alone to 0.61 (95 % CI 0.58-0.64) for BCRAT and SNP data combined (p < 0.001). For women aged 35-39 years at interview, the corresponding improvement in AUC was from 0.61 (95 % CI 0.56-0.66) to 0.65 (95 % CI 0.60-0.70; p = 0.03), while for women aged 40-49 years at diagnosis, the AUC improved from 0.61 (95 % CI 0.55-0.66) to 0.63 (95 % CI 0.57-0.69; p = 0.04). Using previously used classifications of low, intermediate and high risk, 2.1 % of cases and none of the controls aged 35-39 years, and 10.9 % of cases and 4.0 % of controls aged 40-49 years were classified into a higher risk group. Including information on seven SNPs associated with breast cancer risk, improves the discriminatory accuracy of BCRAT for women aged 35-39 years and 40-49 years. Given, the low absolute risk for women in these age groups, only a small proportion are reclassified into a higher category for predicted 5-year risk of breast cancer.
    Breast Cancer Research and Treatment 06/2013; 139(3). · 4.47 Impact Factor
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    ABSTRACT: Background Aromatase inhibitors effectively prevent breast cancer recurrence and development of new contralateral tumours in postmenopausal women. We assessed the efficacy and safety of the aromatase inhibitor anastrozole for prevention of breast cancer in postmenopausal women who are at high risk of the disease. Methods Between Feb 2, 2003, and Jan 31, 2012, we recruited postmenopausal women aged 40–70 years from 18 countries into an international, double-blind, randomised placebo-controlled trial. To be eligible, women had to be at increased risk of breast cancer (judged on the basis of specific criteria). Eligible women were randomly assigned (1:1) by central computer allocation to receive 1 mg oral anastrozole or matching placebo every day for 5 years. Randomisation was stratified by country and was done with blocks (size six, eight, or ten). All trial personnel, participants, and clinicians were masked to treatment allocation; only the trial statistician was unmasked. The primary endpoint was histologically confirmed breast cancer (invasive cancers or non-invasive ductal carcinoma in situ). Analyses were done by intention to treat. This trial is registered, number ISRCTN31488319. Findings 1920 women were randomly assigned to receive anastrozole and 1944 to placebo. After a median follow-up of 5·0 years (IQR 3·0–7·1), 40 women in the anastrozole group (2%) and 85 in the placebo group (4%) had developed breast cancer (hazard ratio 0·47, 95% CI 0·32–0·68, p<0·0001). The predicted cumulative incidence of all breast cancers after 7 years was 5·6% in the placebo group and 2·8% in the anastrozole group. 18 deaths were reported in the anastrozole group and 17 in the placebo group, and no specific causes were more common in one group than the other (p=0·836). Interpretation Anastrozole effectively reduces incidence of breast cancer in high-risk postmenopausal women. This finding, along with the fact that most of the side-effects associated with oestrogen deprivation were not attributable to treatment, provides support for the use of anastrozole in postmenopausal women at high risk of breast cancer. Funding Cancer Research UK, the National Health and Medical Research Council Australia, Sanofi-Aventis, and AstraZeneca.
    The Lancet 01/2013; · 39.21 Impact Factor
  • ASCO Meeting Abstracts. 01/2013; 31(15_suppl):e20660.
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    ABSTRACT: Background:End user input into the design of decision support tools is critical to enhance integration and future routine use in clinical practice. As part of the development of an evidence-based, tailored, computerised breast cancer (BC) risk assessment and management tool, we examined clinicians' requirements. Methods:Australian breast surgeons (BSs) and primary care clinicians (PCCs) were recruited through local professional networks. Facilitated focus group discussions about current practice of assessing and managing BC risk and perceptions of the proposed tool were audiotaped, transcribed and managed using QSR NVivo. A coding framework was developed based on the transcripts. Data were coded and analysed to identify key themes. Results:Four focus groups, involving 12 BSs and 17 PCCs (12 doctors, 5 practice nurses) were conducted. 55% were male, mean age 45 years (range 25–67), mean of 14 years in practice. Clinicians reported difficulties assessing and managing BC risk and lack of available tools to standardise their current approach to risk assessment and management. Most considered themselves confident in identifying potentially high risk women (women with multiple affected relatives and therefore potentially carrying high-risk mutations), but not in identifying women at moderately increased risk. They thought a tool would help reassure anxious women at lower risk and so avoid unnecessary referral or investigations. They thought desirable tool features would include: evidence-based, accessible (web-based), visual, simple data entry process, displays of absolute risk (not relative) and risk estimates in multiple formats (words, pictographs, graphs) to improve comprehension. Clinicians considered that women would be able to input risk factors before the clinic visit but that joint user and clinician data entry was preferable. Conclusions:Development of tools for BC risk assessment and management could benefit from addressing these needs of clinicians in order to optimise translation of current and future knowledge into clinical practice.
    Asia-Pacific Journal of Clinical Oncology 01/2013; 9:35-40. · 0.91 Impact Factor
  • ASCO Meeting Abstracts. 01/2013; 31(15_suppl):1559.
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    ABSTRACT: Bilateral risk-reducing salpingo-oophorectomy (RRSO) has been shown to significantly reduce the risk of ovarian cancer. This study assessed factors predicting uptake of RRSO. Women participating in a large multiple-case breast cancer family cohort study who were at increased risk for ovarian and fallopian tube cancer (i.e. BRCA1 or BRCA2 mutation carrier or family history including at least one first- or second-degree relative with ovarian or fallopian tube cancer), with no personal history of cancer and with at least one ovary in situ at cohort enrolment, were eligible for this study. Women who knew they did not carry the BRCA1 or BRCA2 mutation segregating in their family (true negatives) were excluded. Sociodemographic, biological and psychosocial factors, including cancer-specific anxiety, perceived ovarian cancer risk, optimism and social support, were assessed using self-administered questionnaires and interviews at cohort enrolment. RRSO uptake was self-reported every three years during systematic follow-up. Of 2,859 women, 571 were eligible. Mean age was 43.3 years; 62 women (10.9 %) had RRSO a median of two years after cohort entry. Factors predicting RRSO were: being parous (OR 3.3, p = 0.015); knowing one's mutation positive status (OR 2.9, p < 0.001) and having a mother and/or sister who died from ovarian cancer (OR 2.5, p = 0.013). Psychological variables measured at cohort entry were not associated with RRSO. These results suggest that women at high risk for ovarian cancer make decisions about RRSO based on risk and individual socio-demographic characteristics, rather than in response to psychological factors such as anxiety.
    Familial Cancer 12/2012; 12(1). · 1.94 Impact Factor
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    ABSTRACT: PURPOSEWe tested the hypotheses that CHEK2*1100delC heterozygosity is associated with increased risk of early death, breast cancer-specific death, and risk of a second breast cancer in women with a first breast cancer. PATIENTS AND METHODS From 22 studies participating in the Breast Cancer Association Consortium, 25,571 white women with invasive breast cancer were genotyped for CHEK2*1100delC and observed for up to 20 years (median, 6.6 years). We examined risk of early death and breast cancer-specific death by estrogen receptor status and risk of a second breast cancer after a first breast cancer in prospective studies.ResultsCHEK2*1100delC heterozygosity was found in 459 patients (1.8%). In women with estrogen receptor-positive breast cancer, multifactorially adjusted hazard ratios for heterozygotes versus noncarriers were 1.43 (95% CI, 1.12 to 1.82; log-rank P = .004) for early death and 1.63 (95% CI, 1.24 to 2.15; log-rank P < .001) for breast cancer-specific death. In all women, hazard ratio for a second breast cancer was 2.77 (95% CI, 2.00 to 3.83; log-rank P < .001) increasing to 3.52 (95% CI, 2.35 to 5.27; log-rank P < .001) in women with estrogen receptor-positive first breast cancer only. CONCLUSION Among women with estrogen receptor-positive breast cancer, CHEK2*1100delC heterozygosity was associated with a 1.4-fold risk of early death, a 1.6-fold risk of breast cancer-specific death, and a 3.5-fold risk of a second breast cancer. This is one of the few examples of a genetic factor that influences long-term prognosis being documented in an extensive series of women with breast cancer.
    Journal of Clinical Oncology 10/2012; · 17.88 Impact Factor
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    ABSTRACT: Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 (8q24), rs3817198 (LSP1), rs889312 (MAP3K1), rs3803662 (TOX3), rs13387042 (2q35), rs4973768 (SLC4A7), rs6504950 (COX11) and rs10941679 (5p12) were genotyped for 25 853 BC patients with the available follow-up; 62 other SNPs, which have been suggested as BC risk SNPs by a GWAS or as candidate SNPs from individual studies, were genotyped for replication purposes in subsets of these patients. Cox proportional hazard models were used to test the association of these SNPs with overall survival (OS) and BC-specific survival (BCS). For the confirmed loci, we performed an accessory analysis of publicly available gene expression data and the prognosis in a different patient group. One of the 11 SNPs, rs3803662 (TOX3) and none of the 62 candidate/GWAS SNPs were associated with OS and/or BCS at P<0.01. The genotypic-specific survival for rs3803662 suggested a recessive mode of action [hazard ratio (HR) of rare homozygous carriers=1.21; 95% CI: 1.09-1.35, P=0.0002 and HR=1.29; 95% CI: 1.12-1.47, P=0.0003 for OS and BCS, respectively]. This association was seen similarly in all analyzed tumor subgroups defined by nodal status, tumor size, grade and estrogen receptor. Breast tumor expression of these genes was not associated with prognosis. With the exception of rs3803662 (TOX3), there was no evidence that any of the SNPs associated with BC susceptibility were associated with the BC survival. Survival may be influenced by a distinct set of germline variants from those influencing susceptibility.
    Human Molecular Genetics 04/2012; 21(17):3926-39. · 6.68 Impact Factor
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    Hereditary Cancer in Clinical Practice 04/2012; 10(2). · 1.71 Impact Factor
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    ABSTRACT: Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian cancer for women in the general population. We evaluated four of these loci as potential modifiers of ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Four single-nucleotide polymorphisms (SNPs), rs10088218 (at 8q24), rs2665390 (at 3q25), rs717852 (at 2q31), and rs9303542 (at 17q21), were genotyped in 12,599 BRCA1 and 7,132 BRCA2 carriers, including 2,678 ovarian cancer cases. Associations were evaluated within a retrospective cohort approach. All four loci were associated with ovarian cancer risk in BRCA2 carriers; rs10088218 per-allele hazard ratio (HR) = 0.81 (95% CI: 0.67-0.98) P-trend = 0.033, rs2665390 HR = 1.48 (95% CI: 1.21-1.83) P-trend = 1.8 × 10(-4), rs717852 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.6 × 10(-4), rs9303542 HR = 1.16 (95% CI: 1.02-1.33) P-trend = 0.026. Two loci were associated with ovarian cancer risk in BRCA1 carriers; rs10088218 per-allele HR = 0.89 (95% CI: 0.81-0.99) P-trend = 0.029, rs2665390 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.1 × 10(-4). The HR estimates for the remaining loci were consistent with odds ratio estimates for the general population. The identification of multiple loci modifying ovarian cancer risk may be useful for counseling women with BRCA1 and BRCA2 mutations regarding their risk of ovarian cancer.
    Human Mutation 01/2012; 33(4):690-702. · 5.05 Impact Factor
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    ABSTRACT: To compare breast cancer prognosis in BRCA1 and BRCA2 mutation carriers with that in patients with sporadic disease. An international population-based cohort study was conducted in Canada, the United States, and Australia of 3,220 women with incident breast cancer diagnosed between 1995 and 2000 and observed prospectively. Ninety-three had BRCA1 mutations; 71, BRCA2 mutations; one, both mutations; 1,550, sporadic breast cancer; and 1,505, familial breast cancer (without known BRCA1 or BRCA2 mutation). Distant recurrence and death were analyzed. Mean age at diagnosis was 45.3 years; mean follow-up was 7.9 years. Risks of distant recurrence and death did not differ significantly between BRCA1 mutation carriers and those with sporadic disease in univariable and multivariable analyses. Risk of distant recurrence was higher for BRCA2 mutation carriers compared with those with sporadic disease in univariable analysis (hazard ratio [HR], 1.63; 95% CI, 1.02 to 2.60; P = .04). Risk of death was also higher in BRCA2 carriers in univariable analysis (HR, 1.81; 95% CI, 1.15 to 2.86; P = .01). After adjustment for age, tumor stage and grade, nodal status, hormone receptors, and year of diagnosis, no differences were observed for distant recurrence (HR, 1.00; 95% CI, 0.62 to 1.61; P = 1.00) or death (HR, 1.12; 95% CI, 0.70 to 1.79; P = .64). Outcomes of BRCA1 mutation carriers were similar to those of patients with sporadic breast cancer. Worse outcomes in BRCA2 mutation carriers in univariable analysis seem to reflect the presence of more adverse tumor characteristics in these carriers. Similar outcomes were identified in BRCA2 carriers and those with sporadic disease in multivariable analyses.
    Journal of Clinical Oncology 12/2011; 30(1):19-26. · 17.88 Impact Factor

Publication Stats

963 Citations
408.90 Total Impact Points

Institutions

  • 2003–2014
    • Peter MacCallum Cancer Centre
      • • Department of Cancer Medicine
      • • Division of Haematology and Medical Oncology
      Melbourne, Victoria, Australia
  • 2004–2013
    • University of Melbourne
      • • Genetic Epidemiology Laboratory
      • • Department of Medicine
      • • Population Mental Health Group
      Melbourne, Victoria, Australia
  • 2012
    • University of Cambridge
      • Department of Public Health and Primary Care
      Cambridge, England, United Kingdom
  • 2010
    • University of Sydney
      • School of Psychology
      Sydney, New South Wales, Australia
  • 2006
    • University of Pennsylvania
      • Department of Medicine
      Philadelphia, PA, United States