Carmel Apicella
Overview
Explore the profile of Carmel Apicella including associated specialties, affiliations and a list of published articles.
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Articles
79
Citations
4426
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Recent Articles
1.
Guo Q, Burgess S, Turman C, Bolla M, Wang Q, Lush M, et al.
Int J Epidemiol
. 2017 Dec;
46(6):1814-1822.
PMID: 29232439
Background: There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a...
2.
Dite G, MacInnis R, Bickerstaffe A, Dowty J, Milne R, Antoniou A, et al.
Am J Epidemiol
. 2017 Apr;
185(6):487-500.
PMID: 28399571
The ability to classify people according to their underlying genetic susceptibility to a disease is increasing with new knowledge, better family data, and more sophisticated risk prediction models, allowing for...
3.
Kirkman M, Apicella C, Graham J, Hickey M, Hopper J, Keogh L, et al.
BMC Womens Health
. 2017 Apr;
17(1):26.
PMID: 28381301
Background: A breast cancer diagnosis and an abortion can each be pivotal moments in a woman's life. Research on abortion and breast cancer deals predominantly with women diagnosed during pregnancy...
4.
Nguyen T, Aung Y, Evans C, Dite G, Stone J, MacInnis R, et al.
Int J Epidemiol
. 2017 Mar;
46(2):652-661.
PMID: 28338721
Background: Mammographic density defined by the conventional pixel brightness threshold, and adjusted for age and body mass index (BMI), is a well-established risk factor for breast cancer. We asked if...
5.
Krishnan K, Baglietto L, Stone J, Simpson J, Severi G, Evans C, et al.
Cancer Epidemiol Biomarkers Prev
. 2017 Jan;
26(4):651-660.
PMID: 28062399
After adjusting for age and body mass index (BMI), mammographic measures-dense area (DA), percent dense area (PDA), and nondense area (NDA)-are associated with breast cancer risk. Our aim was to...
6.
Krishnan K, Baglietto L, Apicella C, Stone J, Southey M, English D, et al.
Breast Cancer Res
. 2016 Jun;
18(1):63.
PMID: 27316945
Background: Risk of screen-detected breast cancer mostly reflects inherent risk, while risk of interval cancer reflects inherent risk and risk of masking (risk of the tumor not being detected due...
7.
Dunning A, Michailidou K, Kuchenbaecker K, Thompson D, French J, Beesley J, et al.
Nat Genet
. 2016 Mar;
48(4):374-86.
PMID: 26928228
We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal...
8.
Hopper J, Nguyen T, Stone J, Aujard K, Matheson M, Abramson M, et al.
Breast Cancer Res Treat
. 2016 Feb;
156(1):163-70.
PMID: 26907766
The aim of the present study is to determine if body mass index (BMI) during childhood is associated with the breast cancer risk factor 'adult mammographic density adjusted for age...
9.
Dite G, MacInnis R, Bickerstaffe A, Dowty J, Allman R, Apicella C, et al.
Cancer Epidemiol Biomarkers Prev
. 2015 Dec;
25(2):359-65.
PMID: 26677205
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...
10.
Li S, Wong E, Joo J, Jung C, Chung J, Apicella C, et al.
Twin Res Hum Genet
. 2015 Nov;
18(6):720-6.
PMID: 26527295
The disease- and mortality-related difference between biological age based on DNA methylation and chronological age (Δage) has been found to have approximately 40% heritability by assuming that the familial correlation...