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| PMID |
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| TITLE |
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| Analysis of melanoma onset: assessing familial aggregation by using estimating equations and fitting variance components via Bayesian random effects models. |
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| ABSTRACT |
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| We investigate whether relative contributions of genetic and shared environmental factors are associated with an increased risk in melanoma. Data from the Queensland Familial Melanoma Project comprising 15,907 subjects arising from 1912 families were analyzed to estimate the additive genetic, common and unique environmental contributions to variation in the age at onset of melanoma. Two complementary approaches for analyzing correlated time-to-onset family data were considered: the generalized estimating equations (GEE) method in which one can estimate relationship-specific dependence simultaneously with regression coefficients that describe the average population response to changing covariates; and a subject-specific Bayesian mixed model in which heterogeneity in regression parameters is explicitly modeled and the different components of variation may be estimated directly. The proportional hazards and Weibull models were utilized, as both produce natural frameworks for estimating relative risks while adjusting for simultaneous effects of other covariates. A simple Markov Chain Monte Carlo method for covariate imputation of missing data was used and the actual implementation of the Bayesian model was based on Gibbs sampling using the free ware package BUGS. In addition, we also used a Bayesian model to investigate the relative contribution of genetic and environmental effects on the expression of naevi and freckles, which are known risk factors for melanoma. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| pubmed |
2004/04/01 05:00 |
| medline |
2004/10/27 09:00 |
| entrez |
2004/04/01 05:00 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Do KA |
|
Do |
Kim-Anh |
KA |
|
Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA. kim@mdanderson.org |
| Aitken JF |
|
Aitken |
Joanne F |
JF |
|
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| Green AC |
|
Green |
Adèle C |
AC |
|
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| Martin NG |
|
Martin |
Nicholas G |
NG |
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| INVESTIGATORS |
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| JOURNAL |
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| VOLUME: 7 |
| ISSUE: 1 |
| TITLE: Twin research : the official journal of the International Society for Twin Studies |
| ISOABBREVIATION: Twin Res |
| YEAR: 2004 |
| MONTH: Feb |
| DAY: |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Print |
| ISSN: 1369-0523 |
| ISSNTYPE: Print |
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| MEDLINE JOURNAL |
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| MEDLINETA: Twin Res |
| COUNTRY: Australia |
| ISSNLINKING: 1369-0523 |
| NLMUNIQUEID: 9815819 |
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| PUBLICATION TYPE |
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| PUBLICATIONTYPE TEXT |
| Journal Article |
| Research Support, Non-U.S. Gov't |
| Research Support, U.S. Gov't, P.H.S. |
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| COMMENTS AND CORRECTIONS |
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| GRANTS |
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| GRANTID |
AGENCY |
COUNTRY |
| CA88363 |
NCI NIH HHS |
United States |
| P30 CA016672 |
NCI NIH HHS |
United States |
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| GENERAL NOTE |
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| KEYWORDS |
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| MESH HEADINGS |
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| DESCRIPTORNAME |
QUALIFIERNAME |
| Adolescent |
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| Adult |
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| Aged |
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| Bayes Theorem |
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| Humans |
|
| Melanoma |
genetics |
| Middle Aged |
genetics |
| Models, Statistical |
genetics |
| Risk Factors |
genetics |
| Skin Neoplasms |
genetics |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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| OTHER ID's |
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