Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

高级别浆液性卵巢癌候选易感基因的 Cis-eQTL 分析及功能验证

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作者:Kate Lawrenson, Qiyuan Li, Siddhartha Kar, Ji-Heui Seo, Jonathan Tyrer, Tassja J Spindler, Janet Lee, Yibu Chen, Alison Karst, Ronny Drapkin, Katja K H Aben, Hoda Anton-Culver, Natalia Antonenkova; Australian Ovarian Cancer Study Group; Helen Baker, Elisa V Bandera, Yukie Bean, Matthias W Beckmann, 

Abstract

Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10(-5)). For three cis-eQTL associations (P<1.4 × 10(-3), FDR<0.05) at 1p36 (CDC42), 1p34 (CDCA8) and 2q31 (HOXD9), we evaluate the functional role of each candidate by perturbing expression of each gene in HGSOC precursor cells. Overexpression of HOXD9 increases anchorage-independent growth, shortens population-doubling time and reduces contact inhibition. Chromosome conformation capture identifies an interaction between rs2857532 and the HOXD9 promoter, suggesting this SNP is a leading causal variant. Transcriptomic profiling after HOXD9 overexpression reveals enrichment of HGSOC risk variants within HOXD9 target genes (P=6 × 10(-10) for risk variants (P<10(-4)) within 10 kb of a HOXD9 target gene in ovarian cells), suggesting a broader role for this network in genetic susceptibility to HGSOC.

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