NDLI: Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer risk.

Please wait, while we are loading the content...

Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer risk.

Correlation of LINE-1 methylation levels in patient-matched buffy coat, serum, buccal cell, and bladder tumor tissue DNA samples.

Parental age, family size, and offspring's risk of childhood and adult acute leukemia.

Reproducibility of the nicotine metabolite ratio in cigarette smokers.

A simulation model to predict the impact of prophylactic surgery and screening on the life expectancy of BRCA1 and BRCA2 mutation carriers.

Reliability of serum biomarkers of inflammation from repeated measures in healthy individuals.

Quantifying mediating effects of endogenous estrogen and insulin in the relation between obesity, alcohol consumption, and breast cancer.

The inconvenience of convenience cohorts: rhabdomyosarcoma and the PAX-FOXO1 biomarker.

Circadian disruption, sleep loss, and prostate cancer risk: a systematic review of epidemiologic studies.

Prognostic value of vascular endothelial growth factor expression in patients with esophageal cancer: a systematic review and meta-analysis.

Oophorectomy after menopause and the risk of breast cancer in BRCA1 and BRCA2 mutation carriers.

Urinary naphthol metabolites and chromosomal aberrations in 5-year-old children.

Expression of kallikrein-related peptidase 7 predicts poor prognosis in patients with unresectable pancreatic ductal adenocarcinoma.

Multistage analysis of variants in the inflammation pathway and lung cancer risk in smokers.

Prognostic impact of comorbidity among long-term breast cancer survivors: results from the LACE study.

Use of lung cancer screening tests in the United States: results from the 2010 National Health Interview Survey.

Coronary artery disease in REDUCE--letter.

Cancer prevention and screening practices of siblings of childhood cancer survivors: a report from the Childhood Cancer Survivor Study.

Modeling of the growth kinetics of occult breast tumors: role in interpretation of studies of prevention and menopausal hormone therapy.

Serum vitamin D and risk of bladder cancer in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening trial.

Height, sitting height, and leg length in relation with breast cancer risk in the E3N cohort.

Placental weight and breast cancer risk in young women: a registry-based cohort study from Norway.

The MTAP-CDKN2A locus confers susceptibility to a naturally occurring canine cancer.

Frontiers in cancer epidemiology: a challenge to the research community from the Epidemiology and Genomics Research Program at the National Cancer Institute.

Year: 2012 Volume: 21 Issue: 6

Year: 2012 Volume: 21 Issue: 5

Year: 2012 Volume: 21 Issue: 4

Year: 2012 Volume: 21 Issue: 3

Year: 2012 Volume: 21 Issue: 2

Year: 2012 Volume: 21 Issue: 1

Year: 2011 Volume: 20

Year: 2010 Volume: 19

Year: 2009 Volume: 18

Year: 2008 Volume: 17

Year: 2007 Volume: 16

Year: 2006 Volume: 15

Year: 2005 Volume: 14

Year: 2004 Volume: 13

Year: 2003 Volume: 12

Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer risk.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Stone, Jennifer Dite, Gillian S. Giles, Graham G. Cawson, Jennifer English, Dallas R. Hopper, John L.
Spatial Coverage	Australia
Description	Country affiliation: Australia Author Affiliation: Stone J ( Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Melbourne, Victoria, Australia.)
Abstract	BACKGROUND: Mammographic density is a strong risk factor for breast cancer. It is unknown whether there are different causes of variation in mammographic density at different ages. METHODS: Mammograms and questionnaires were obtained on average 8 years apart from 327 Australian female twin pairs (204 monozygous and 123 dizygous). Mammographic dense area and percentage dense area were measured using a computer-assisted method. The correlational structure of the longitudinal twin data was estimated under a multivariate normal model using FISHER. Inference about causation from examination of familial confounding was made by regressing each twin's recent mammographic density measure against one or both of her and her co-twin's past measures. RESULTS: For square root dense area and percentage dense area (age- and body mass index-adjusted), the correlations over time within twins were 0.86 and 0.82, and the cross-twin correlations were 0.71 and 0.65 for monozygous pairs and 0.25 and 0.20 for dizygous pairs, respectively. As a predictor of a twin's recent dense area, the regression coefficient (SE) for the co-twin's past dense area reduced after adjusting for her own past measure from 0.84 (0.03) to 0.09 (0.03) for monozygous pairs and from 0.63 (0.04) to 0.04 (0.03) for dizygous pairs. Corresponding estimates for percentage dense area were 0.73 (0.04), 0.10 (0.03), 0.42 (0.05), and 0.03 (0.03). CONCLUSION: Mammographic density measures are highly correlated over time and the familial/genetic components of their variation are established before mid-life. IMPACT: Mammographic density of young women could provide a means for breast cancer control.
File Format	HTM / HTML
ISSN	10559965
e-ISSN	15387755
Journal	Cancer Epidemiology Biomarkers & Prevention
Issue Number	7
Volume Number	21
Language	English
Publisher	American Association for Cancer Research
Publisher Date	2012-07-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Discipline Cancer epidemiology Breast Neoplasms Diagnosis Prevention & Control Breast Pathology Confounding Factors (epidemiology) Epidemiology Genetic Predisposition To Disease Longitudinal Studies Mammography Predictive Value Of Tests Risk Factors Twins, Dizygotic Twins, Monozygotic Research Support, Non-u.s. Gov't Twin Study
Content Type	Text
Resource Type	Article
Subject	Epidemiology Oncology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Explaining variance in the cumulus mammographic measures that predict breast cancer risk: a twins and sisters study.

Predictors of mammographic density: insights gained from a novel regression analysis of a twin study.

Genetic models for the familial aggregation of mammographic breast density.

The relative importance of genetics and environment on mammographic density.

The Heritability of Breast Cancer among Women in the Nordic Twin Study of Cancer.

Inference about causation from examination of familial confounding (ICE FALCON): a model for assessing causation analogous to Mendelian randomization

Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk.

Are the educational differences in incidence of cardiovascular disease explained by underlying familial factors? A twin study.

Explaining variance in the cumulus mammographic measures that predict breast cancer risk: a twins and sisters study.

Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer risk.

Similar Documents

Explaining variance in the cumulus mammographic measures that predict breast cancer risk: a twins and sisters study.

Predictors of mammographic density: insights gained from a novel regression analysis of a twin study.

Genetic models for the familial aggregation of mammographic breast density.

The relative importance of genetics and environment on mammographic density.

The Heritability of Breast Cancer among Women in the Nordic Twin Study of Cancer.

Inference about causation from examination of familial confounding (ICE FALCON): a model for assessing causation analogous to Mendelian randomization

Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk.

Are the educational differences in incidence of cardiovascular disease explained by underlying familial factors? A twin study.

Explaining variance in the cumulus mammographic measures that predict breast cancer risk: a twins and sisters study.

Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer risk.