Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci. (10th October 2022)
- Record Type:
- Journal Article
- Title:
- Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci. (10th October 2022)
- Main Title:
- Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci
- Authors:
- DeVries, Amber A
Dennis, Joe
Tyrer, Jonathan P
Peng, Pei-Chen
Coetzee, Simon G
Reyes, Alberto L
Plummer, Jasmine T
Davis, Brian D
Chen, Stephanie S
Dezem, Felipe Segato
Aben, Katja K H
Anton-Culver, Hoda
Antonenkova, Natalia N
Beckmann, Matthias W
Beeghly-Fadiel, Alicia
Berchuck, Andrew
Bogdanova, Natalia V
Bogdanova-Markov, Nadja
Brenton, James D
Butzow, Ralf
Campbell, Ian
Chang-Claude, Jenny
Chenevix-Trench, Georgia
Cook, Linda S
DeFazio, Anna
Doherty, Jennifer A
Dörk, Thilo
Eccles, Diana M
Eliassen, A Heather
Fasching, Peter A
Fortner, Renée T
Giles, Graham G
Goode, Ellen L
Goodman, Marc T
Gronwald, Jacek
Håkansson, Niclas
Hildebrandt, Michelle A T
Huff, Chad
Huntsman, David G
Jensen, Allan
Kar, Siddhartha
Karlan, Beth Y
Khusnutdinova, Elza K
Kiemeney, Lambertus A
Kjaer, Susanne K
Kupryjanczyk, Jolanta
Labrie, Marilyne
Lambrechts, Diether
Le, Nhu D
Lubiński, Jan
May, Taymaa
Menon, Usha
Milne, Roger L
Modugno, Francesmary
Monteiro, Alvaro N
Moysich, Kirsten B
Odunsi, Kunle
Olsson, Håkan
Pearce, Celeste L
Pejovic, Tanja
Ramus, Susan J
Riboli, Elio
Riggan, Marjorie J
Romieu, Isabelle
Sandler, Dale P
Schildkraut, Joellen M
Setiawan, V Wendy
Sieh, Weiva
Song, Honglin
Sutphen, Rebecca
Terry, Kathryn L
Thompson, Pamela J
Titus, Linda
Tworoger, Shelley S
Van Nieuwenhuysen, Els
Edwards, Digna Velez
Webb, Penelope M
Wentzensen, Nicolas
Whittemore, Alice S
Wolk, Alicja
Wu, Anna H
Ziogas, Argyrios
Freedman, Matthew L
Lawrenson, Kate
Pharoah, Paul D P
Easton, Douglas F
Gayther, Simon A
Jones, Michelle R
… (more) - Abstract:
- Abstract: Background: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. Methods: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer–related cell types. Results: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 ( P EOC = 1.60E-21; OREOC = 8.24), RAD51C ( P high-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 ( P HGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations ( P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched ( P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. Conclusions: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and mayAbstract: Background: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. Methods: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer–related cell types. Results: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 ( P EOC = 1.60E-21; OREOC = 8.24), RAD51C ( P high-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 ( P HGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations ( P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched ( P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. Conclusions: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention. … (more)
- Is Part Of:
- Journal of the National Cancer Institute. Volume 114:Number 11(2022)
- Journal:
- Journal of the National Cancer Institute
- Issue:
- Volume 114:Number 11(2022)
- Issue Display:
- Volume 114, Issue 11 (2022)
- Year:
- 2022
- Volume:
- 114
- Issue:
- 11
- Issue Sort Value:
- 2022-0114-0011-0000
- Page Start:
- 1533
- Page End:
- 1544
- Publication Date:
- 2022-10-10
- Subjects:
- Cancer -- Periodicals
Cancer -- Research -- Periodicals
616.994 - Journal URLs:
- https://jnci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/jnci/djac160 ↗
- Languages:
- English
- ISSNs:
- 0027-8874
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4830.000000
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- 24499.xml