Shared heritability and functional enrichment across six solid cancers

ABSTRACT Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we esti...

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Veröffentlicht in:bioRxiv 2018
Hauptverfasser: Jiang, Xia, Finucane, Hilary, Schumacher, Fredrick, Schmit, Stephanie, Tyrer, Jonathan, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline, Dennis, Joe, Conti, David, Casey, Graham, Gaudet, Mia, Huyghe, Jeroen, Albanes, Demetrius, Aldrich, Melinda, Andrew, Angeline, Andrulis, Irene, Anton-Culver, Hoda, Antoniou, Antonis, Antonenkova, Natalia, Arnold, Susanne, Aronson, Kristan, Arun, Banu, Bandera, Elisa, Barkardottir, Rosa, Barnes, Daniel, Batra, Jyotsna, Beckmann, Matthias, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja, Bickeböller, Heike, Bien, Stephanie, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia, Bojesen, Stig, Bolla, Manjeet, Brauch, Hiltrud, Brenner, Hermann, Brenton, James, Brook, Mark, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria, Campbell, Ian, Campbell, Peter, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André, Chan, Andrew, Chang-Claude, Jenny, Chanock, Stephen, Chen, Chu, Christiani, David, B.M. Claes, Kathleen, Claessens, Frank, Clements, Judith, Collée, Margriet, Correa, Marcia Cruz, Couch, Fergus, Cox, Angela, Cunningham, Julie, Cybulski, Cezary, Czene, Kamila, Daly, Mary, deFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny, Dörk, Thilo, Duell, Eric, Dunning, Alison, Dwek, Miriam, Eccles, Diana, Edlund, Christopher, Velez Edwards, Digna, Ellberg, Carolina, Evans, Gareth, Fasching, Peter, Ferris, Robert, Liloglou, Triantafillos, Figueiredo, Jane, Fletcher, Olivia, Fortner, Renée, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven, Ganz, Patricia
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Zusammenfassung:ABSTRACT Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer ( r g =0.57, p=4.6×10 −8 ), breast and ovarian cancer ( r g =0.24, p=7×10 −5 ), breast and lung cancer ( r g =0.18, p=1.5×10 −6 ) and breast and colorectal cancer ( r g =0.15, p=1.1×10 −4 ). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.