Mary Waterhouse
QIMR Berghofer Medical Research Institute
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Publication
Featured researches published by Mary Waterhouse.
The Journal of Clinical Endocrinology and Metabolism | 2014
Mary Waterhouse; Bich Tran; Bruce K. Armstrong; C. Baxter; Peter R. Ebeling; Dallas R. English; Val Gebski; Christine Hill; Michael G. Kimlin; Robyn M. Lucas; Alison Venn; Penelope M. Webb; David C. Whiteman; Rachel E. Neale
CONTEXT AND OBJECTIVE Suboptimal vitamin D status can be corrected by vitamin D supplementation, but individual responses to supplementation vary. We aimed to examine genetic and nongenetic determinants of change in serum 25-hydroxyvitamin D (25(OH)D) after supplementation. DESIGN AND PARTICIPANTS We used data from a pilot randomized controlled trial in which 644 adults aged 60 to 84 years were randomly assigned to monthly doses of placebo, 30 000 IU, or 60 000 IU vitamin D3 for 12 months. Baseline characteristics were obtained from a self-administered questionnaire. Eighty-eight single-nucleotide polymorphisms (SNPs) in 41 candidate genes were genotyped using Sequenom MassArray technology. Serum 25(OH)D levels before and after the intervention were measured using the Diasorin Liaison platform immunoassay. We used linear regression models to examine associations between genetic and nongenetic factors and change in serum 25(OH)D levels. RESULTS Supplement dose and baseline 25(OH)D level explained 24% of the variability in response to supplementation. Body mass index, self-reported health status, and ambient UV radiation made a small additional contribution. SNPs in CYP2R1, IRF4, MC1R, CYP27B1, VDR, TYRP1, MCM6, and HERC2 were associated with change in 25(OH)D level, although only CYP2R1 was significant after adjustment for multiple testing. Models including SNPs explained a similar proportion of variability in response to supplementation as models that included personal and environmental factors. CONCLUSION Stepwise regression analyses suggest that genetic variability may be associated with response to supplementation, perhaps suggesting that some people might need higher doses to reach optimal 25(OH)D levels or that there is variability in the physiologically normal level of 25(OH)D.
British Journal of Nutrition | 2015
Mary Waterhouse; Bich Tran; Peter R. Ebeling; Dallas R. English; Robyn M. Lucas; Alison Venn; Penelope M. Webb; David C. Whiteman; Rachel E. Neale
Observational studies have suggested that 25-hydroxyvitamin D (25(OH)D) levels are associated with inflammatory markers. Most trials reporting significant associations between vitamin D intake and inflammatory markers used specific patient groups. Thus, we aimed to determine the effect of supplementary vitamin D using secondary data from a population-based, randomised, placebo-controlled, double-blind trial (Pilot D-Health trial 2010/0423). Participants were 60- to 84-year-old residents of one of the four eastern states of Australia. They were randomly selected from the electoral roll and were randomised to one of three trial arms: placebo (n 214), 750 μg (n 215) or 1500 μg (n 215) vitamin D3, each taken once per month for 12 months. Post-intervention blood samples for the analysis of C-reactive protein (CRP), IL-6, IL-10, leptin and adiponectin levels were available for 613 participants. Associations between intervention group and biomarker levels were evaluated using quantile regression. There were no statistically significant differences in distributions of CRP, leptin, adiponectin, leptin:adiponectin ratio or IL-10 levels between the placebo group and either supplemented group. The 75th percentile IL-6 level was 2·8 pg/ml higher (95 % CI 0·4, 5·8 pg/ml) in the 1500 μg group than in the placebo group (75th percentiles:11·0 v. 8·2 pg/ml), with a somewhat smaller, non-significant difference in 75th percentiles between the 750 μg and placebo groups. Despite large differences in serum 25(OH)D levels between the three groups after 12 months of supplementation, we found little evidence of an effect of vitamin D supplementation on cytokine or adipokine levels, with the possible exception of IL-6.
Graphs and Combinatorics | 2009
Diane Donovan; James G. Lefevre; Mary Waterhouse; Emine Sule Yazici
A defining set of a t-(v, k, λ) design is a subcollection of its blocks which is contained in no other t-design with the given parameters, on the same point set. A minimal defining set is a defining set, none of whose proper subcollections is a defining set. The spectrum of minimal defining sets of a design D is the set {|M| | M is a minimal defining set of D}. We show that if a t-(v, k, λ) design D is contained in a design F, then for every minimal defining set dD of D there exists a minimal defining set dF of F such that
Photodermatology, Photoimmunology and Photomedicine | 2015
Mohammad Khalesi; David C. Whiteman; Cliff Rosendahl; Richard Johns; T. Hackett; Alan Cameron; Mary Waterhouse; Robyn M. Lucas; Michael G. Kimlin; Rachel E. Neale
Discrete Mathematics | 2010
James G. Lefevre; Mary Waterhouse
{d_D = d_F\cap D}
Discrete Mathematics | 2004
Peter Adams; Darryn E. Bryant; James G. Lefevre; Mary Waterhouse
SpringerPlus | 2013
Cameron McDonald; Judy Bauer; Sandra Capra; Mary Waterhouse
. The unique simple design with parameters
European Journal of Nutrition | 2018
Mary Waterhouse; Bronwyn Hope; Lutz Krause; Mark Morrison; Melinda M. Protani; Martha Zakrzewski; Rachel E. Neale
Asia-pacific Journal of Clinical Oncology | 2018
M. Dumbrava; Elizabeth Burmeister; David Wyld; David Goldstein; Dianne O'Connell; Vanessa L. Beesley; Helen Gooden; Monika Janda; Susan J. Jordan; Neil D. Merrett; Madeleine Payne; Mary Waterhouse; Rachel E. Neale
{{\left(v,k, {v-2\choose k-2}\right)}}
Pancreas | 2017
Madeleine Payne; Elizabeth Burmeister; Mary Waterhouse; Susan J. Jordan; Dianne L. OʼConnell; Neil D. Merrett; David Goldstein; David Wyld; Vanessa L. Beesley; Helen Gooden; Monika Janda; Rachel E. Neale