TY - JOUR
T1 - Genetic advances in glioma
T2 - Susceptibility genes and networks
AU - Liu, Yanhong
AU - Shete, Sanjay
AU - Hosking, Fay
AU - Robertson, Lindsay
AU - Houlston, Richard
AU - Bondy, Melissa
N1 - Funding Information:
We thank V. Mohlere for scientific editing. This work was supported by National Institutes of Health grants 5R01CA119215 , 5R01CA070917 , and 1R01CA139020-01A1 . Additional support was obtained from the American Brain Tumor Association and the National Brain Tumor Society . The Wellcome Trust provided principal funding for the study.
PY - 2010/6
Y1 - 2010/6
N2 - Recent advances in human genome studies have opened new avenues for the identification of susceptibility genes for many complex genetic disorders, especially in the field of rare cancers such as glioma. To date, eight glioma susceptibility loci have been identified by candidate gene-association studies: PRKDC G6721T, XRCC1 W399R, PARP1 A762V, MGMT F84L, ERCC1 A8092C, ERCC2 Q751K, EGF +61 A/G, and IL13 R110G. Five loci have been identified by genome-wide association studies: TERT rs2736100, CCDC26 rs4295627, CDKN2A-CDKN2B rs4977756, PHLDB1 rs498872, and RTEL1 rs6010620. Using the Ingenuity Pathway Analysis tool, we investigated whether these 13 susceptibility genes are biologically related. Our data provide not only networks for understanding the biological properties of gliomagenesis but also useful pathway maps for future understanding of disease.
AB - Recent advances in human genome studies have opened new avenues for the identification of susceptibility genes for many complex genetic disorders, especially in the field of rare cancers such as glioma. To date, eight glioma susceptibility loci have been identified by candidate gene-association studies: PRKDC G6721T, XRCC1 W399R, PARP1 A762V, MGMT F84L, ERCC1 A8092C, ERCC2 Q751K, EGF +61 A/G, and IL13 R110G. Five loci have been identified by genome-wide association studies: TERT rs2736100, CCDC26 rs4295627, CDKN2A-CDKN2B rs4977756, PHLDB1 rs498872, and RTEL1 rs6010620. Using the Ingenuity Pathway Analysis tool, we investigated whether these 13 susceptibility genes are biologically related. Our data provide not only networks for understanding the biological properties of gliomagenesis but also useful pathway maps for future understanding of disease.
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U2 - 10.1016/j.gde.2010.02.001
DO - 10.1016/j.gde.2010.02.001
M3 - Review article
C2 - 20211558
AN - SCOPUS:77953610367
SN - 0959-437X
VL - 20
SP - 239
EP - 244
JO - Current Opinion in Genetics and Development
JF - Current Opinion in Genetics and Development
IS - 3
ER -