Genetic Data Shows That Skin Cancer Risk Includes More Than UV Exposure

Newswise — BETHESDA, MD – DECEMBER 4, 2012 -- It’s common knowledge that excessive UV exposure from sunlight raises your chances for skin cancer, but predicting whether someone will actually develop skin cancer remains difficult. In a new research report, scientists from the University of Alabama at Birmingham (UAB) and the University of Wisconsin–Madison show that the risk for skin cancer involves numerous genetic factors including family history, ethnicity, and genetic variations specific to each individual. Using these factors, the researchers developed a more precise model for assessing risk, which is published in the December 2012 issue of the journal GENETICS (http://www.genetics.org).

“We hope this study will ultimately contribute toward a better understanding of the genetics of complex traits and diseases,” said Ana Inés Vázquez, PhD, lead author of the study from UAB’s Department of Biostatistics. “Such an understanding is essential for the development of methods that can be used for early and improved prediction of genetic predisposition to diseases.”

To make this discovery, the scientists used phenotypic and genetic information from more than 5,000 familial participants in the Framingham Heart Study to develop various models for assessing skin cancer risk. The researchers’ most basic risk evaluation model included standard risk factors such as sex. Additional predictive models were developed by adding information on family history, ethnicity, and data from 41,000 genetic markers across the human genome. The predictive power of each model was evaluated, with the best prediction accuracy obtained from models that include all predictive risk factors -- those standard risk factors plus family history, ethnicity and genetic markers.

“Although there is no doubt that sun exposure increases your risk for skin cancer,” said Mark Johnston, Editor-in-Chief of the journal GENETICS, “it isn’t clear how much of a risk it poses to each individual. This new model for assessing risk should prove useful to health care providers and public health officials, who play a crucial role in educating people about preventing skin cancer.”

CITATION: Ana I. Vazquez, Gustavo de los Campos, Yann C. Klimentidis, Guilherme J. M. Rosa, Daniel Gianola, Nengjun Yi, and David B. AllisonA Comprehensive Genetic Approach for Improving Prediction of Skin Cancer Risk in HumansGenetics December 2012 192:1493-1502

FUNDING: The authors acknowledge NIH grants R01GM077490, R01GM099992, R01GM101219 the Kraft grant, as well as the Wisconsin Agriculture Experiment Station for their financial support.

ABOUT GENETICS: Since 1916, GENETICS (http://www.genetics.org/) has covered high quality, original research on a range of topics bearing on inheritance, including population and evolutionary genetics, complex traits, developmental and behavioral genetics, cellular genetics, gene expression, genome integrity and transmission, and genome and systems biology. GENETICS, a peer-reviewed, peer-edited journal of the Genetics Society of America is one of the world's most cited journals in genetics and heredity.

ABOUT GSA: Founded in 1931, the Genetics Society of America (GSA) is the professional membership organization for scientific researchers, educators, bioengineers, bioinformaticians and others interested in the field of genetics. Its nearly 5,000 members work to advance knowledge in the basic mechanisms of inheritance, from the molecular to the population level. The GSA is dedicated to promoting research in genetics and to facilitating communication among geneticists worldwide through its conferences, including the biennial conference on Model Organisms to Human Biology, an interdisciplinary meeting on current and cutting edge topics in genetics research, as well as annual and biennial meetings that focus on the genetics of particular organisms, including C. elegans, Drosophila, fungi, mice, yeast, and zebrafish. GSA publishes GENETICS, a leading journal in the field and an online, open-access journal, G3: Genes|Genomes|Genetics. For more information about GSA, please visit www.genetics-gsa.org. Also follow GSA on Facebook at facebook.com/GeneticsGSA and on Twitter @GeneticsGSA.