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A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
- Source :
- Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid, Consejería de Sanidad de la Comunidad de Madrid, Cancer Research, 78(18), 5419-5430. American Association for Cancer Research Inc., Cancer Research, 78(18), 5419. American Association for Cancer Research Inc., Lu, Y, Beeghly-Fadiel, A, Wu, L, Guo, X, Li, B, Schildkraut, J M, Im, H K, Chen, Y A, Permuth, J B, Reid, B M, Teer, J K, Moysich, K B, Andrulis, I L, Anton-Culver, H, Arun, B K, Bandera, E V, Barkardottir, R B, Barnes, D R, Benitez, J, Bjorge, L, Brenton, J, Butzow, R, Caldes, T, Caligo, M A, Campbell, I, Chang-Claude, J, Claes, K B M, Couch, F J, Cramer, D W, Daly, M B, deFazio, A, Dennis, J, Diez, O, Domchek, S M, Dörk, T, Easton, D F, Eccles, D M, Fasching, P A, Fortner, R T, Fountzilas, G, Friedman, E, Ganz, P A, Garber, J, Giles, G G, Godwin, A K, Goldgar, D E, Goodman, M T, Greene, M H, Gronwald, J, Hamann, U, Heitz, F, Hildebrandt, M A T, Høgdall, C K, Hollestelle, A, Hulick, P J, Huntsman, D G, Imyanitov, E N, Isaacs, C, Jakubowska, A, James, P, Karlan, B Y, Kelemen, L E, Kiemeney, L A, Kjaer, S K, Kwong, A, Le, N D, Leslie, G, Lesueur, F, Levine, D A, Mattiello, A, May, T, McGuffog, L, McNeish, I A, Merritt, M A, Modugno, F, Montagna, M, Neuhausen, S L, Nevanlinna, H, Nielsen, F C, Nikitina-Zake, L, Nussbaum, R L, Offit, K, Olah, E, Olopade, O I, Olson, S H, Olsson, H, Osorio, A, Park, S K, Parsons, M T, Peeters, P H M, Pejovic, T, Peterlongo, P, Phelan, C M, Pujana, M A, Ramus, S J, Rennert, G, Risch, H, Rodriguez, G C, Rodríguez-Antona, C, Romieu, I, Rookus, M A, Rossing, M A, Rzepecka, I K, Sandler, D P, Schmutzler, R K, Setiawan, V W, Sharma, P, Sieh, W, Simard, J, Singer, C F, Song, H, Southey, M C, Spurdle, A B, Sutphen, R, Swerdlow, A J, Teixeira, M R, Teo, S H, Thomassen, M, Tischkowitz, M, Toland, A E, Trichopoulou, A, Tung, N, Tworoger, S S, van Rensburg, E J, Vanderstichele, A, Vega, A, Edwards, D V, Webb, P M, Weitzel, J N, Wentzensen, N, White, E, Wolk, A, Wu, A H, Yannoukakos, D, Zorn, K K, Gayther, S A, Antoniou, A C, Berchuck, A, Goode, E L, Chenevix-Trench, G, Sellers, T A, Pharoah, P D P, Zheng, W & Long, J 2018, ' A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk ', Cancer Research, vol. 78, no. 18, pp. 5419-5430 . https://doi.org/10.1158/0008-5472.CAN-18-0951, Cancer Research, 78, 5419-5430, Cancer Research, 78, 18, pp. 5419-5430
- Publication Year :
- 2018
- Publisher :
- American Association for Cancer Research Inc., 2018.
-
Abstract
- Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10−6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10−7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10−3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis. Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419–30. ©2018 AACR.
- Subjects :
- 0301 basic medicine
Cancer Research
endocrine system diseases
Carcinogenesis
LOCI
Genome-wide association study
CORTICOTROPIN-RELEASING HORMONE
Carcinoma, Ovarian Epithelial
VARIANTS
Transcriptome
Cohort Studies
Risk Factors
MULTIPLE
GWAS
Genetics
Ovarian Neoplasms
Prognosis
female genital diseases and pregnancy complications
3. Good health
HOXB2
Oncology
Urological cancers Radboud Institute for Health Sciences [Radboudumc 15]
Female
Life Sciences & Biomedicine
EXPRESSION
Genotype
Quantitative Trait Loci
Locus (genetics)
Quantitative trait locus
Biology
Polymorphism, Single Nucleotide
Article
03 medical and health sciences
SDG 3 - Good Health and Well-being
Journal Article
Humans
BREAST-CANCER
Genetic Predisposition to Disease
1112 Oncology and Carcinogenesis
Oncology & Carcinogenesis
Gene
Genotyping
Genetic association
Science & Technology
IDENTIFICATION
Gene Expression Profiling
Gene expression profiling
030104 developmental biology
IN-VITRO FERTILIZATION
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 15387445 and 00085472
- Volume :
- 78
- Issue :
- 18
- Database :
- OpenAIRE
- Journal :
- Cancer Research
- Accession number :
- edsair.doi.dedup.....ecdbedfd46ce7dc61703d021c46fbd49
- Full Text :
- https://doi.org/10.1158/0008-5472.CAN-18-0951