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

• Verfasst von: Lawrenson, Kate [VerfasserIn]
• Verfasst von: Chang-Claude, Jenny [VerfasserIn]
• Verfasst von: Rudolph, Anja [VerfasserIn]
• Titel: Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer
• Verf.angabe: 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, Helen Baker, Elisa V. Bandera, Yukie Bean, Matthias W. Beckmann, Andrew Berchuck, Maria Bisogna, Line Bjorge, Natalia Bogdanova, Louise A. Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Ralf Butzow, Ian G. Campbell, Karen Carty, Jenny Chang-Claude, Georgia Chenevix-Trench, Anne Chen, Zhihua Chen, Linda S. Cook, Daniel W. Cramer, Julie M. Cunningham, Cezary Cybulski, Agnieszka Dansonka-Mieszkowska, Joe Dennis, Ed Dicks, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Diana Eccles, Douglas T. Easton, Robert P. Edwards, Ursula Eilber, Arif B. Ekici, Peter A. Fasching, Brooke L. Fridley, Yu-Tang Gao, Aleksandra Gentry-Maharaj, Graham G. Giles, Rosalind Glasspool, Ellen L. Goode, Marc T. Goodman, Jacek Grownwald, Patricia Harrington, Philipp Harter, Hanis Nazihah Hasmad, Alexander Hein, Florian Heitz, Michelle A. T. Hildebrandt, Peter Hillemanns, Estrid Hogdall, Claus Hogdall, Satoyo Hosono, Edwin S. Iversen, Anna Jakubowska, Paul James, Allan Jensen, Bu-Tian Ji, Beth Y. Karlan, Susanne Kruger Kjaer, Linda E. Kelemen, Melissa Kellar, Joseph L. Kelley, Lambertus A. Kiemeney, Camilla Krakstad, Jolanta Kupryjanczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D. Le, Alice W. Lee, Sandrina Lambrechts, Shashi Le le, Arto Leminen, Jenny Lester, Douglas A. Levine, Dong Liang, Jolanta Lissowska, Karen Lu, Jan Lubinski, Lene Lundvall, Leon F. A. G. Massuger, Keitaro Matsuo, Valerie McGuire, John R. McLaughlin, Heli Nevanlinna, Ian McNeish, Usha Menon, Francesmary Modugno, Kirsten B. Moysich, Steven A. Narod, Lotte Nedergaard, Roberta B. Ness, Mat Adenan Noor Azmi, Kunle Odunsi, Sara H. Olson, Irene Orlow, Sandra Orsulic, Rachel Palmieri Weber, Celeste L. Pearce, Tanja Pejovic, Liisa M. Pelttari, Jennifer Permuth-Wey, Catherine M. Phelan, Malcolm C. Pike, Elizabeth M. Poole, Susan J. Ramus, Harvey A. Risch, Barry Rosen, Mary Anne Rossing, Joseph H. Rothstein, Anja Rudolph, Ingo B. Runnebaum, Iwona K. Rzepecka, Helga B. Salvesen, Joellen M. Schildkraut, Ira Schwaab, Thomas A. Sellers, Xiao-Ou Shu, Yurii B. Shvetsov, Nadeem Siddiqui, Weiva Sieh, Honglin Song, Melissa C. Southey, Lara Sucheston, Ingvild L. Tangen, Soo-Hwang Teo, Kathryn L. Terry, Pamela J. Thompson, Agnieszka Timorek, Ya-Yu Tsai, Shelley S. Tworoger, Anne M. van Altena, Els Van Nieuwenhuysen, Ignace Vergote, Robert A. Vierkant, Shan Wang-Gohrke, Christine Walsh, Nicolas Wentzensen, Alice S. Whittemore, Kristine G. Wicklund, Lynne R. Wilkens, Yin-Ling Woo, Xifeng Wu, Yin-Ling Woo, Anna H. Wu, Anna H. Wu, Hannah Yang, Wei Zheng, Argyrios Ziogas, Alvaro Monteiro, Paul D. Pharoah, Simon A. Gayther & Matthew L. Freedman
• E-Jahr: 2015
• Jahr: 22 Sep 2015
• Fussnoten: Gesehen am 09.06.2020
• Titel Quelle: Enthalten in: Nature Communications
• Ort Quelle: [London] : Nature Publishing Group UK, 2010
• Jahr Quelle: 2015
• Band/Heft Quelle: 6(2015) Artikel-Nummer 8234, 14 Seiten
• ISSN Quelle: 2041-1723
• DOI: doi:10.1038/ncomms9234
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1700258893

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.