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Showing 3 of 3 Publications

2024

2022

  • Polygenic risk modeling for prediction of epithelial ovarian cancer risk

    Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook L, Couch F, Daly M, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding Y, Doherty J, Domchek S, Dörk T, du Bois A, Dürst M, Eccles D, Eliassen H, Engel C, Evans G, Fasching P, Flanagan J, Fortner R, Machackova E, Friedman E, Ganz P, Garber J, Gensini F, Giles G, Glendon G, Godwin A, Goodman M, Greene M, Gronwald J, Hahnen E, Haiman C, Håkansson N, Hamann U, Hansen T, Harris H, Hartman M, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Hopper J, Huang R, Huff C, Hulick P, Huntsman D, Imyanitov E, Isaacs C, Jakubowska A, James P, Janavicius R, Jensen A, Johannsson O, John E, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Khusnutdinova E, Kiemeney L, Kim B, Kjaer S, Komenaka I, Kupryjanczyk J, Kurian A, Kwong A, Lambrechts D, Larson M, Lazaro C, Le N, Leslie G, Lester J, Lesueur F, Levine D, Li L, Li J, Loud J, Lu K, Lubiński J, Mai P, Manoukian S, Marks J, Matsuno R, Matsuo K, May T, McGuffog L, McLaughlin J, McNeish I, Mebirouk N, Menon U, Miller A, Milne R, Minlikeeva A, Modugno F, Montagna M, Moysich K, Munro E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Nielsen H, Nielsen F, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade O, Olson S, Olsson H, Osorio A, Papi L, Park S, Parsons M, Pathak H, Pedersen I, Peixoto A, Pejovic T, Perez-Segura P, Permuth J, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan M, Risch H, Rodriguez-Antona C, Ross E, Rossing M, Runnebaum I, Sandler D, Santamariña M, Soucy P, Schmutzler R, Setiawan V, Shan K, Sieh W, Simard J, Singer C, Sokolenko A, Song H, Southey M, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow A, Tan Y, Teixeira M, Teo S, Terry K, Terry M, Thomassen M, Thompson P, Thomsen L, Thull D, Tischkowitz M, Titus L, Toland A, Torres D, Trabert B, Travis R, Tung N, Tworoger S, Valen E, van Altena A, van der Hout A, Van Nieuwenhuysen E, van Rensburg E, Vega A, Edwards D, Vierkant R, Wang F, Wappenschmidt B, Webb P, Weinberg C, Weitzel J, Wentzensen N, White E, Whittemore A, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zavaglia K, Zheng W, Ziogas A, Zorn K, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers T, Ramus S, Pearce C, Monteiro A, Cunningham J, Goode E, Schildkraut J, Berchuck A, Chenevix-Trench G, Gayther S, Antoniou A, Pharoah P. Polygenic risk modeling for prediction of epithelial ovarian cancer risk. European Journal Of Human Genetics 2022, 30: 349-362. PMID: 35027648, PMCID: PMC8904525, DOI: 10.1038/s41431-021-00987-7.
    Peer-Reviewed Original Research

2020

  • Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

    Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, Soucy P, Lemaçon A, Lush M, Tyrer JP, Ghoussaini M, Moradi Marjaneh M, Jiang X, Agata S, Aittomäki K, Alonso MR, Andrulis IL, Anton-Culver H, Antonenkova NN, Arason A, Arndt V, Aronson KJ, Arun BK, Auber B, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Beeghly-Fadiel A, Benitez J, Bermisheva M, Białkowska K, Blanco AM, Blomqvist C, Blot W, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Bosse K, Brauch H, Brenner H, Briceno I, Brock IW, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Cai Q, Caldés T, Caligo MA, Camp NJ, Campbell I, Canzian F, Carroll JS, Carter BD, Castelao JE, Chiquette J, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collée J, Cornelissen S, Couch F, Cox A, Cross S, Cybulski C, Czene K, Daly M, de la Hoya M, Devilee P, Diez O, Ding Y, Dite G, Domchek S, Dörk T, dos-Santos-Silva I, Droit A, Dubois S, Dumont M, Duran M, Durcan L, Dwek M, Eccles D, Engel C, Eriksson M, Evans D, Fasching P, Fletcher O, Floris G, Flyger H, Foretova L, Foulkes W, Friedman E, Fritschi L, Frost D, Gabrielson M, Gago-Dominguez M, Gambino G, Ganz P, Gapstur S, Garber J, García-Sáenz J, Gaudet M, Georgoulias V, Giles G, Glendon G, Godwin A, Goldberg M, Goldgar D, González-Neira A, Tibiletti M, Greene M, Grip M, Gronwald J, Grundy A, Guénel P, Hahnen E, Haiman C, Håkansson N, Hall P, Hamann U, Harrington P, Hartikainen J, Hartman M, He W, Healey C, Heemskerk-Gerritsen B, Heyworth J, Hillemanns P, Hogervorst F, Hollestelle A, Hooning M, Hopper J, Howell A, Huang G, Hulick P, Imyanitov E, Isaacs C, Iwasaki M, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz R, John E, Johnson N, Jones M, Jukkola-Vuorinen A, Jung A, Kaaks R, Kang D, Kapoor P, Karlan B, Keeman R, Kerin M, Khusnutdinova E, Kiiski J, Kirk J, Kitahara C, Ko Y, Konstantopoulou I, Kosma V, Koutros S, Kubelka-Sabit K, Kwong A, Kyriacou K, Laitman Y, Lambrechts D, Lee E, Leslie G, Lester J, Lesueur F, Lindblom A, Lo W, Long J, Lophatananon A, Loud J, Lubiński J, MacInnis R, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez M, Matsuo K, Maurer T, Mavroudis D, Mayes R, McGuffog L, McLean C, Mebirouk N, Meindl A, Miller A, Miller N, Montagna M, Moreno F, Muir K, Mulligan A, Muñoz-Garzon V, Muranen T, Narod S, Nassir R, Nathanson K, Neuhausen S, Nevanlinna H, Neven P, Nielsen F, Nikitina-Zake L, Norman A, Offit K, Olah E, Olopade O, Olsson H, Orr N, Osorio A, Pankratz V, Papp J, Park S, Park-Simon T, Parsons M, Paul J, Pedersen I, Peissel B, Peshkin B, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Prokofyeva D, Pujana M, Pylkäs K, Radice P, Ramus S, Rantala J, Rau-Murthy R, Rennert G, Risch H, Robson M, Romero A, Rossing M, Saloustros E, Sánchez-Herrero E, Sandler D, Santamariña M, Saunders C, Sawyer E, Scheuner M, Schmidt D, Schmutzler R, Schneeweiss A, Schoemaker M, Schöttker B, Schürmann P, Scott C, Scott R, Senter L, Seynaeve C, Shah M, Sharma P, Shen C, Shu X, Singer C, Slavin T, Smichkoska S, Southey M, Spinelli J, Spurdle A, Stone J, Stoppa-Lyonnet D, Sutter C, Swerdlow A, Tamimi R, Tan Y, Tapper W, Taylor J, Teixeira M, Tengström M, Teo S, Terry M, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tollenaar R, Tomlinson I, Torres D, Torres-Mejía G, Troester M, Truong T, Tung N, Tzardi M, Ulmer H, Vachon C, van Asperen C, van der Kolk L, van Rensburg E, Vega A, Viel A, Vijai J, Vogel M, Wang Q, Wappenschmidt B, Weinberg C, Weitzel J, Wendt C, Wildiers H, Winqvist R, Wolk A, Wu A, Yannoukakos D, Zhang Y, Zheng W, Hunter D, Pharoah P, Chang-Claude J, García-Closas M, Schmidt M, Milne R, Kristensen V, French J, Edwards S, Antoniou A, Chenevix-Trench G, Simard J, Easton D, Kraft P, Dunning A. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nature Genetics 2020, 52: 56-73. PMID: 31911677, PMCID: PMC6974400, DOI: 10.1038/s41588-019-0537-1.
    Peer-Reviewed Original Research
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