ORCID Profile
0000-0002-0884-4246
Current Organisation
University of Melbourne
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Publisher: MDPI AG
Date: 14-03-2022
Abstract: Cumulus, Cumulus-percent, Altocumulus, Cirrocumulus, and Cumulus-white are mammogram risk scores (MRSs) for breast cancer based on mammographic density defined in effect by different levels of pixel brightness and adjusted for age and body mass index. We measured these MRS from digitized film mammograms for 593 monozygotic (MZ) and 326 dizygotic (DZ) female twin pairs and 1592 of their sisters. We estimated the correlations in relatives (r) and the proportion of variance due to genetic factors (heritability) using the software FISHER and predicted the familial risk ratio (FRR) associated with each MRS. The ρ estimates ranged from: 0.41 to 0.60 (standard error [SE] 0.02) for MZ pairs, 0.16 to 0.26 (SE 0.05) for DZ pairs, and 0.19 to 0.29 (SE 0.02) for sister pairs (including pairs of a twin and her non-twin sister), respectively. Heritability estimates were 39% to 69% under the classic twin model and 36% to 56% when allowing for shared non-genetic factors specific to MZ pairs. The FRRs were 1.08 to 1.17. These MRSs are substantially familial, due mostly to genetic factors that explain one-quarter to one-half as much of the familial aggregation of breast cancer that is explained by the current best polygenic risk score.
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1940-6207.22534607
Abstract: Supplementary Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)
Publisher: MDPI AG
Date: 02-06-2022
Abstract: Cumulus, Altocumulus, and Cirrocumulus are measures of mammographic density defined at increasing pixel brightness thresholds, which, when converted to mammogram risk scores (MRSs), predict breast cancer risk. Twin and family studies suggest substantial variance in the MRSs could be explained by genetic factors. For 2559 women aged 30 to 80 years (mean 54 years), we measured the MRSs from digitized film mammograms and estimated the associations of the MRSs with a 313-SNP breast cancer polygenic risk score (PRS) and 202 in idual SNPs associated with breast cancer risk. The PRS was weakly positively correlated (correlation coefficients ranged 0.05–0.08 all p 0.04) with all the MRSs except the Cumulus-white MRS based on the “white but not bright area” (correlation coefficient = 0.04 p = 0.06). After adjusting for its association with the Altocumulus MRS, the PRS was not associated with the Cumulus MRS. There were MRS associations (Bonferroni-adjusted p 0.04) with one SNP in the ATXN1 gene and nominally with some ESR1 SNPs. Less than 1% of the variance of the MRSs is explained by the genetic markers currently known to be associated with breast cancer risk. Discovering the genetic determinants of the bright, not white, regions of the mammogram could reveal substantial new genetic causes of breast cancer.
Publisher: BMJ
Date: 11-08-2020
DOI: 10.1136/INJURYPREV-2020-043857
Abstract: To assess the current status of injury prevention (IP) core competency among medical students majoring in public health in China and to advocate for incorporating IP in the medical curriculum. The study used purposive s ling in eight medical universities in China in 2017, including 420 undergraduates and 763 graduates, using self-administered questionnaires based on the core competency instrument for IP with five domains (31 items): A) injury analysis and assessment (8 items), B) IP project planning and implementation (7 items), C) communication (6 items), D) community practice (5 items), and E) leadership and systematic thinking (5 items). The higher score indicated the higher level of proficiency of the ability (scores ranged from 1 to 5). We used linear regression model to test the effect of IP course experience on the core competency mean score after adjusting for potential confounders. The total mean score was 2.78 (SD=0.76, median=2.9, range=1–4.55) and 2.68 (SD=0.75, median=2.81, range=1–4.45) for undergraduates and graduates, respectively. There were 60% and 36% of undergraduates and graduates who have ever taken IP course, respectively. IP course class hours were positively associated with core competency level ( P .05) across five domains (except for domain D) and the total. The core competency level is relatively low among public health students in China. Setting IP courses should be considered as an effective way to improve students’ core competency. It is a step moving towards the IP education promotion, and further boosting the field of public health.
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1940-6207.C.6547571.V1
Abstract: Abstract We considered whether weight is more informative than body mass index (BMI) = weight/height sup /sup when predicting breast cancer risk for postmenopausal women, and if the weight association differs by underlying familial risk. We studied 6,761 women postmenopausal at baseline with a wide range of familial risk from 2,364 families in the Prospective Family Study Cohort. Participants were followed for on average 11.45 years and there were 416 incident breast cancers. We used Cox regression to estimate risk associations with log-transformed weight and BMI after adjusting for underlying familial risk. We compared model fits using the Akaike information criterion (AIC) and nested models using the likelihood ratio test. The AIC for the weight-only model was 6.22 units lower than for the BMI-only model, and the log risk gradient was 23% greater. Adding BMI or height to weight did not improve fit (ΔAIC = 0.90 and 0.83, respectively both i P /i = 0.3). Conversely, adding weight to BMI or height gave better fits (ΔAIC = 5.32 and 11.64 i P /i = 0.007 and 0.0002, respectively). Adding height improved only the BMI model (ΔAIC = 5.47 i P /i = 0.006). There was no evidence that the BMI or weight associations differed by underlying familial risk ( i P /i 0.2). Weight is more informative than BMI for predicting breast cancer risk, consistent with nonadipose as well as adipose tissue being etiologically relevant. The independent but multiplicative associations of weight and familial risk suggest that, in terms of absolute breast cancer risk, the association with weight is more important the greater a woman's underlying familial risk. Prevention Relevance: Our results suggest that the relationship between BMI and breast cancer could be due to a relationship between weight and breast cancer, downgraded by inappropriately adjusting for height potential importance of anthropometric measures other than total body fat breast cancer risk associations with BMI and weight are across a continuum. /
Publisher: American Association for Cancer Research (AACR)
Date: 03-04-2023
DOI: 10.1158/1940-6207.22534607.V1
Abstract: Supplementary Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)
Publisher: American Association for Cancer Research (AACR)
Date: 03-2022
DOI: 10.1158/1940-6207.CAPR-21-0164
Abstract: Our results suggest that the relationship between BMI and breast cancer could be due to a relationship between weight and breast cancer, downgraded by inappropriately adjusting for height potential importance of anthropometric measures other than total body fat breast cancer risk associations with BMI and weight are across a continuum.
No related grants have been discovered for Zhoufeng Ye.