001     290096
005     20250814141012.0
024 7 _ |a 10.1016/j.ajhg.2024.04.011
|2 doi
024 7 _ |a pmid:38723632
|2 pmid
024 7 _ |a 0002-9297
|2 ISSN
024 7 _ |a 1537-6605
|2 ISSN
024 7 _ |a altmetric:163210733
|2 altmetric
037 _ _ |a DKFZ-2024-00995
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Dareng, Eileen O
|b 0
245 _ _ |a Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.
260 _ _ |a New York, NY
|c 2024
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1718114663_29091
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2024 Jun 6;111(6):1061-1083
520 _ _ |a To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10-8) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10-5). Fine mapping identified 4,008 CCVs in these regions, of which 1,452 CCVs were located in ovarian cancer-related chromatin marks with significant enrichment in active enhancers, active promoters, and active regions for CCVs from each EOC histotype. Transcriptome-wide association and colocalization analyses across histotypes using tissue-specific and cross-tissue datasets identified 86 candidate susceptibility genes in known EOC risk regions and 32 genes in 23 additional genomic regions that may represent novel EOC risk loci (false discovery rate <0.05). Finally, by integrating genome-wide HiChIP interactome analysis with transcriptome-wide association study (TWAS), variant effect predictor, transcription factor ChIP-seq, and motifbreakR data, we identified candidate gene-CCV interactions at each locus. This included risk loci where TWAS identified one or more candidate susceptibility genes (e.g., HOXD-AS2, HOXD8, and HOXD3 at 2q31) and other loci where no candidate gene was identified (e.g., MYC and PVT1 at 8q24) by TWAS. In summary, this study describes a functional framework and provides a greater understanding of the biological significance of risk alleles and candidate gene targets at EOC susceptibility loci identified by a genome-wide association study.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a GWAS
|2 Other
650 _ 7 |a epithelial ovarian cancer risk
|2 Other
650 _ 7 |a fine mapping
|2 Other
650 _ 7 |a functional mechanisms
|2 Other
700 1 _ |a Coetzee, Simon G
|b 1
700 1 _ |a Tyrer, Jonathan P
|b 2
700 1 _ |a Peng, Pei-Chen
|b 3
700 1 _ |a Rosenow, Will
|b 4
700 1 _ |a Chen, Stephanie
|b 5
700 1 _ |a Davis, Brian D
|b 6
700 1 _ |a Dezem, Felipe Segato
|b 7
700 1 _ |a Seo, Ji-Heui
|b 8
700 1 _ |a Nameki, Robbin
|b 9
700 1 _ |a Reyes, Alberto L
|b 10
700 1 _ |a Aben, Katja K H
|b 11
700 1 _ |a Anton-Culver, Hoda
|b 12
700 1 _ |a Antonenkova, Natalia N
|b 13
700 1 _ |a Aravantinos, Gerasimos
|b 14
700 1 _ |a Bandera, Elisa V
|b 15
700 1 _ |a Beane Freeman, Laura E
|b 16
700 1 _ |a Beckmann, Matthias W
|b 17
700 1 _ |a Beeghly-Fadiel, Alicia
|b 18
700 1 _ |a Benitez, Javier
|b 19
700 1 _ |a Bernardini, Marcus Q
|b 20
700 1 _ |a Bjorge, Line
|b 21
700 1 _ |a Black, Amanda
|b 22
700 1 _ |a Bogdanova, Natalia V
|b 23
700 1 _ |a Bolton, Kelly L
|b 24
700 1 _ |a Brenton, James D
|b 25
700 1 _ |a Budzilowska, Agnieszka
|b 26
700 1 _ |a Butzow, Ralf
|b 27
700 1 _ |a Cai, Hui
|b 28
700 1 _ |a Campbell, Ian
|b 29
700 1 _ |a Cannioto, Rikki
|b 30
700 1 _ |a Chang-Claude, Jenny
|0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
|b 31
|u dkfz
700 1 _ |a Chanock, Stephen J
|b 32
700 1 _ |a Chen, Kexin
|b 33
700 1 _ |a Chenevix-Trench, Georgia
|b 34
700 1 _ |a Group, AOCS
|b 35
|e Collaboration Author
700 1 _ |a Chiew, Yoke-Eng
|b 36
700 1 _ |a Cook, Linda S
|b 37
700 1 _ |a DeFazio, Anna
|b 38
700 1 _ |a Dennis, Joe
|b 39
700 1 _ |a Doherty, Jennifer A
|b 40
700 1 _ |a Dörk, Thilo
|b 41
700 1 _ |a du Bois, Andreas
|b 42
700 1 _ |a Dürst, Matthias
|b 43
700 1 _ |a Eccles, Diana M
|b 44
700 1 _ |a Ene, Gabrielle
|b 45
700 1 _ |a Fasching, Peter A
|b 46
700 1 _ |a Flanagan, James M
|b 47
700 1 _ |a Fortner, Renée T
|0 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
|b 48
|u dkfz
700 1 _ |a Fostira, Florentia
|b 49
700 1 _ |a Gentry-Maharaj, Aleksandra
|b 50
700 1 _ |a Giles, Graham G
|b 51
700 1 _ |a Goodman, Marc T
|b 52
700 1 _ |a Gronwald, Jacek
|b 53
700 1 _ |a Haiman, Christopher A
|b 54
700 1 _ |a Håkansson, Niclas
|b 55
700 1 _ |a Heitz, Florian
|b 56
700 1 _ |a Hildebrandt, Michelle A T
|b 57
700 1 _ |a Høgdall, Estrid
|b 58
700 1 _ |a Høgdall, Claus K
|b 59
700 1 _ |a Huang, Ruea-Yea
|b 60
700 1 _ |a Jensen, Allan
|b 61
700 1 _ |a Jones, Michael E
|b 62
700 1 _ |a Kang, Daehee
|b 63
700 1 _ |a Karlan, Beth Y
|b 64
700 1 _ |a Karnezis, Anthony N
|b 65
700 1 _ |a Kelemen, Linda E
|b 66
700 1 _ |a Kennedy, Catherine J
|b 67
700 1 _ |a Khusnutdinova, Elza K
|b 68
700 1 _ |a Kiemeney, Lambertus A
|b 69
700 1 _ |a Kjaer, Susanne K
|b 70
700 1 _ |a Kupryjanczyk, Jolanta
|b 71
700 1 _ |a Labrie, Marilyne
|b 72
700 1 _ |a Lambrechts, Diether
|b 73
700 1 _ |a Larson, Melissa C
|b 74
700 1 _ |a Le, Nhu D
|b 75
700 1 _ |a Lester, Jenny
|b 76
700 1 _ |a Li, Lian
|b 77
700 1 _ |a Lubiński, Jan
|b 78
700 1 _ |a Lush, Michael
|b 79
700 1 _ |a Marks, Jeffrey R
|b 80
700 1 _ |a Matsuo, Keitaro
|b 81
700 1 _ |a May, Taymaa
|b 82
700 1 _ |a McLaughlin, John R
|b 83
700 1 _ |a McNeish, Iain A
|b 84
700 1 _ |a Menon, Usha
|b 85
700 1 _ |a Missmer, Stacey
|b 86
700 1 _ |a Modugno, Francesmary
|b 87
700 1 _ |a Moffitt, Melissa
|b 88
700 1 _ |a Monteiro, Alvaro N
|b 89
700 1 _ |a Moysich, Kirsten B
|b 90
700 1 _ |a Narod, Steven A
|b 91
700 1 _ |a Nguyen-Dumont, Tu
|b 92
700 1 _ |a Odunsi, Kunle
|b 93
700 1 _ |a Olsson, Håkan
|b 94
700 1 _ |a Onland-Moret, N Charlotte
|b 95
700 1 _ |a Park, Sue K
|b 96
700 1 _ |a Pejovic, Tanja
|b 97
700 1 _ |a Permuth, Jennifer B
|b 98
700 1 _ |a Piskorz, Anna
|b 99
700 1 _ |a Prokofyeva, Darya
|b 100
700 1 _ |a Riggan, Marjorie J
|b 101
700 1 _ |a Risch, Harvey A
|b 102
700 1 _ |a Rodríguez-Antona, Cristina
|b 103
700 1 _ |a Rossing, Mary Anne
|b 104
700 1 _ |a Sandler, Dale P
|b 105
700 1 _ |a Setiawan, V Wendy
|b 106
700 1 _ |a Shan, Kang
|b 107
700 1 _ |a Song, Honglin
|b 108
700 1 _ |a Southey, Melissa C
|b 109
700 1 _ |a Steed, Helen
|b 110
700 1 _ |a Sutphen, Rebecca
|b 111
700 1 _ |a Swerdlow, Anthony J
|b 112
700 1 _ |a Teo, Soo Hwang
|b 113
700 1 _ |a Terry, Kathryn L
|b 114
700 1 _ |a Thompson, Pamela J
|b 115
700 1 _ |a Vestrheim Thomsen, Liv Cecilie
|b 116
700 1 _ |a Titus, Linda
|b 117
700 1 _ |a Trabert, Britton
|b 118
700 1 _ |a Travis, Ruth
|b 119
700 1 _ |a Tworoger, Shelley S
|b 120
700 1 _ |a Valen, Ellen
|b 121
700 1 _ |a Van Nieuwenhuysen, Els
|b 122
700 1 _ |a Edwards, Digna Velez
|b 123
700 1 _ |a Vierkant, Robert A
|b 124
700 1 _ |a Webb, Penelope M
|b 125
700 1 _ |a Group, OPAL Study
|b 126
|e Collaboration Author
700 1 _ |a Weinberg, Clarice R
|b 127
700 1 _ |a Weise, Rayna Matsuno
|b 128
700 1 _ |a Wentzensen, Nicolas
|b 129
700 1 _ |a White, Emily
|b 130
700 1 _ |a Winham, Stacey J
|b 131
700 1 _ |a Wolk, Alicja
|b 132
700 1 _ |a Woo, Yin-Ling
|b 133
700 1 _ |a Wu, Anna H
|b 134
700 1 _ |a Yan, Li
|b 135
700 1 _ |a Yannoukakos, Drakoulis
|b 136
700 1 _ |a Zeinomar, Nur
|b 137
700 1 _ |a Zheng, Wei
|b 138
700 1 _ |a Ziogas, Argyrios
|b 139
700 1 _ |a Berchuck, Andrew
|b 140
700 1 _ |a Goode, Ellen L
|b 141
700 1 _ |a Huntsman, David G
|b 142
700 1 _ |a Pearce, Celeste L
|b 143
700 1 _ |a Ramus, Susan J
|b 144
700 1 _ |a Sellers, Thomas A
|b 145
700 1 _ |a Consortium, Ovarian Cancer Association
|b 146
|e Collaboration Author
700 1 _ |a Freedman, Matthew L
|b 147
700 1 _ |a Lawrenson, Kate
|b 148
700 1 _ |a Schildkraut, Joellen M
|b 149
700 1 _ |a Hazelett, Dennis
|b 150
700 1 _ |a Plummer, Jasmine T
|b 151
700 1 _ |a Kar, Siddhartha
|b 152
700 1 _ |a Jones, Michelle R
|b 153
700 1 _ |a Pharoah, Paul D P
|b 154
700 1 _ |a Gayther, Simon A
|b 155
773 _ _ |a 10.1016/j.ajhg.2024.04.011
|g p. S0002929724001265
|0 PERI:(DE-600)1473813-2
|n 6
|p 1061-1083
|t The American journal of human genetics
|v 111
|y 2024
|x 0002-9297
856 4 _ |u https://inrepo02.dkfz.de/record/290096/files/1-s2.0-S0002929724001265-main.pdf
856 4 _ |u https://inrepo02.dkfz.de/record/290096/files/1-s2.0-S0002929724001265-main.pdf?subformat=pdfa
|x pdfa
909 C O |p VDB
|o oai:inrepo02.dkfz.de:290096
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 31
|6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 48
|6 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2024
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b AM J HUM GENET : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-21
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b AM J HUM GENET : 2022
|d 2023-10-21
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21