Area 1: Discovery and validation of genetic factors influencing lung cancer risk. While several genetic loci have been identified by genome-wide scans, we hypothesize that additional loci influencing risk for lung cancer development can be identified by joint analyses in which data from multiple studies are combined. In addition, combining genotypic data will allow analysis according to demographic and clinical parameters, and permit studies to identify gene-gene and gene-environment factors that specifically increase lung cancer risk. Genetic loci that have been identified by these pooled analyses warrant further follow-up in world-wide populations to evaluate the extent that the same or other SNPs associate with lung cancer risk. Finally, follow-up studies with additfonal fine mapping and resequencing of selected populations, together with functionalanalyses, will help to identify the specific causal factors that influence cancer risk. In area 1 we are using a large and diverse population to identify genetic risk factors for lung cancer. First we will integrate 8 genome wide studies to form a pooled sample of over 13000 lung cancer cases and 25000 controls. We will perform stratified analyses to identify genes that only affect subsets of lung cancer such as early onset, and histology specific effects. We will also seek to discover significant predictors of lung cancer risk using gene-environment and gene-gene interaction analyses. Pathway analyses will also.be performed to assist in gene discovery. We will perform flne mapping and initial replication of these findings by genotyping an additional 6000 cases and 6000 controls of African-American, Chinese and Caucasian ancestry. We will finally validate our findings in an additional collection of 6000 lung cancer cases and 6000 controls. We anticipate that our studies will allow an exhaustive search of genes that have either main effects on lung cancer risk or that increase risk in combination with genetic or environmental cofactors. Our findings will be used for further functional studies in area 2 of the U19 response and epidemiological characterization in area 3 of the U19 response.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19CA148127-04
Application #
8550774
Study Section
Special Emphasis Panel (ZCA1-SRLB-4)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2013
Total Cost
$1,110,305
Indirect Cost
$49,611
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Feng, Yun; Wang, Yanru; Liu, Hongliang et al. (2018) Novel genetic variants in the P38MAPK pathway gene ZAK and susceptibility to lung cancer. Mol Carcinog 57:216-224
Li, Yafang; Xiao, Xiangjun; Han, Younghun et al. (2018) Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis 39:336-346
Allen, Julie K; Armaiz-Pena, Guillermo N; Nagaraja, Archana S et al. (2018) Sustained Adrenergic Signaling Promotes Intratumoral Innervation through BDNF Induction. Cancer Res 78:3233-3242
Sandanger, Torkjel Manning; Nøst, Therese Haugdahl; Guida, Florence et al. (2018) DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort. Sci Rep 8:16714
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Gorlov, Ivan P; Pikielny, Claudio W; Frost, Hildreth R et al. (2018) Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples. BMC Bioinformatics 19:430
Wang, Zhaoxi; Wei, Yongyue; Zhang, Ruyang et al. (2018) Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma. EBioMedicine 32:93-101
Ferreiro-Iglesias, Aida; Lesseur, Corina; McKay, James et al. (2018) Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 9:3927
Hancock, D B; Guo, Y; Reginsson, G W et al. (2018) Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 23:1-9
Milne, Roger L (see original citation for additional authors) (2017) Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 49:1767-1778

Showing the most recent 10 out of 142 publications