Skip to main content
Journal cover image

Assessing the genetic architecture of epithelial ovarian cancer histological subtypes.

Publication ,  Journal Article
Cuellar-Partida, G; Lu, Y; Dixon, SC; Australian Ovarian Cancer Study, ; Fasching, PA; Hein, A; Burghaus, S; Beckmann, MW; Lambrechts, D; Lu, KH ...
Published in: Hum Genet
July 2016

Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Hum Genet

DOI

EISSN

1432-1203

Publication Date

July 2016

Volume

135

Issue

7

Start / End Page

741 / 756

Location

Germany

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Pathology, Molecular
  • Ovarian Neoplasms
  • Neoplasms, Glandular and Epithelial
  • Humans
  • Genotype
  • Genetics & Heredity
  • Female
  • Carcinoma, Ovarian Epithelial
  • 3215 Reproductive medicine
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cuellar-Partida, G., Lu, Y., Dixon, S. C., Australian Ovarian Cancer Study, ., Fasching, P. A., Hein, A., … MacGregor, S. (2016). Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet, 135(7), 741–756. https://doi.org/10.1007/s00439-016-1663-9
Cuellar-Partida, Gabriel, Yi Lu, Suzanne C. Dixon, Suzanne C. Australian Ovarian Cancer Study, Peter A. Fasching, Alexander Hein, Stefanie Burghaus, et al. “Assessing the genetic architecture of epithelial ovarian cancer histological subtypes.Hum Genet 135, no. 7 (July 2016): 741–56. https://doi.org/10.1007/s00439-016-1663-9.
Cuellar-Partida G, Lu Y, Dixon SC, Australian Ovarian Cancer Study, Fasching PA, Hein A, et al. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet. 2016 Jul;135(7):741–56.
Cuellar-Partida, Gabriel, et al. “Assessing the genetic architecture of epithelial ovarian cancer histological subtypes.Hum Genet, vol. 135, no. 7, July 2016, pp. 741–56. Pubmed, doi:10.1007/s00439-016-1663-9.
Cuellar-Partida G, Lu Y, Dixon SC, Australian Ovarian Cancer Study, Fasching PA, Hein A, Burghaus S, Beckmann MW, Lambrechts D, Van Nieuwenhuysen E, Vergote I, Vanderstichele A, Doherty JA, Rossing MA, Chang-Claude J, Rudolph A, Wang-Gohrke S, Goodman MT, Bogdanova N, Dörk T, Dürst M, Hillemanns P, Runnebaum IB, Antonenkova N, Butzow R, Leminen A, Nevanlinna H, Pelttari LM, Edwards RP, Kelley JL, Modugno F, Moysich KB, Ness RB, Cannioto R, Høgdall E, Høgdall C, Jensen A, Giles GG, Bruinsma F, Kjaer SK, Hildebrandt MAT, Liang D, Lu KH, Wu X, Bisogna M, Dao F, Levine DA, Cramer DW, Terry KL, Tworoger SS, Stampfer M, Missmer S, Bjorge L, Salvesen HB, Kopperud RK, Bischof K, Aben KKH, Kiemeney LA, Massuger LFAG, Brooks-Wilson A, Olson SH, McGuire V, Rothstein JH, Sieh W, Whittemore AS, Cook LS, Le ND, Blake Gilks C, Gronwald J, Jakubowska A, Lubiński J, Kluz T, Song H, Tyrer JP, Wentzensen N, Brinton L, Trabert B, Lissowska J, McLaughlin JR, Narod SA, Phelan C, Anton-Culver H, Ziogas A, Eccles D, Campbell I, Gayther SA, Gentry-Maharaj A, Menon U, Ramus SJ, Wu AH, Dansonka-Mieszkowska A, Kupryjanczyk J, Timorek A, Szafron L, Cunningham JM, Fridley BL, Winham SJ, Bandera EV, Poole EM, Morgan TK, Goode EL, Schildkraut JM, Pearce CL, Berchuck A, Pharoah PDP, Webb PM, Chenevix-Trench G, Risch HA, MacGregor S. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet. 2016 Jul;135(7):741–756.
Journal cover image

Published In

Hum Genet

DOI

EISSN

1432-1203

Publication Date

July 2016

Volume

135

Issue

7

Start / End Page

741 / 756

Location

Germany

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Pathology, Molecular
  • Ovarian Neoplasms
  • Neoplasms, Glandular and Epithelial
  • Humans
  • Genotype
  • Genetics & Heredity
  • Female
  • Carcinoma, Ovarian Epithelial
  • 3215 Reproductive medicine