These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
259 related articles for article (PubMed ID: 34906514)
1. Polygenic risk scores for prediction of breast cancer risk in Asian populations. Ho WK; Tai MC; Dennis J; Shu X; Li J; Ho PJ; Millwood IY; Lin K; Jee YH; Lee SH; Mavaddat N; Bolla MK; Wang Q; Michailidou K; Long J; Wijaya EA; Hassan T; Rahmat K; Tan VKM; Tan BKT; Tan SM; Tan EY; Lim SH; Gao YT; Zheng Y; Kang D; Choi JY; Han W; Lee HB; Kubo M; Okada Y; Namba S; ; Park SK; Kim SW; Shen CY; Wu PE; Park B; Muir KR; Lophatananon A; Wu AH; Tseng CC; Matsuo K; Ito H; Kwong A; Chan TL; John EM; Kurian AW; Iwasaki M; Yamaji T; Kweon SS; Aronson KJ; Murphy RA; Koh WP; Khor CC; Yuan JM; Dorajoo R; Walters RG; Chen Z; Li L; Lv J; Jung KJ; Kraft P; Pharoah PDB; Dunning AM; Simard J; Shu XO; Yip CH; Taib NAM; Antoniou AC; Zheng W; Hartman M; Easton DF; Teo SH Genet Med; 2022 Mar; 24(3):586-600. PubMed ID: 34906514 [TBL] [Abstract][Full Text] [Related]
2. Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study. Ho PJ; Tan IB; Chong DQ; Khor CC; Yuan JM; Koh WP; Dorajoo R; Li J Elife; 2023 Mar; 12():. PubMed ID: 36971353 [TBL] [Abstract][Full Text] [Related]
3. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. Mavaddat N; Michailidou K; Dennis J; Lush M; Fachal L; Lee A; Tyrer JP; Chen TH; Wang Q; Bolla MK; Yang X; Adank MA; Ahearn T; Aittomäki K; Allen J; Andrulis IL; Anton-Culver H; Antonenkova NN; Arndt V; Aronson KJ; Auer PL; Auvinen P; Barrdahl M; Beane Freeman LE; Beckmann MW; Behrens S; Benitez J; Bermisheva M; Bernstein L; Blomqvist C; Bogdanova NV; Bojesen SE; Bonanni B; Børresen-Dale AL; Brauch H; Bremer M; Brenner H; Brentnall A; Brock IW; Brooks-Wilson A; Brucker SY; Brüning T; Burwinkel B; Campa D; Carter BD; Castelao JE; Chanock SJ; Chlebowski R; Christiansen H; Clarke CL; Collée JM; Cordina-Duverger E; Cornelissen S; Couch FJ; Cox A; Cross SS; Czene K; Daly MB; Devilee P; Dörk T; Dos-Santos-Silva I; Dumont M; Durcan L; Dwek M; Eccles DM; Ekici AB; Eliassen AH; Ellberg C; Engel C; Eriksson M; Evans DG; Fasching PA; Figueroa J; Fletcher O; Flyger H; Försti A; Fritschi L; Gabrielson M; Gago-Dominguez M; Gapstur SM; García-Sáenz JA; Gaudet MM; Georgoulias V; Giles GG; Gilyazova IR; Glendon G; Goldberg MS; Goldgar DE; González-Neira A; Grenaker Alnæs GI; Grip M; Gronwald J; Grundy A; Guénel P; Haeberle L; Hahnen E; Haiman CA; Håkansson N; Hamann U; Hankinson SE; Harkness EF; Hart SN; He W; Hein A; Heyworth J; Hillemanns P; Hollestelle A; Hooning MJ; Hoover RN; Hopper JL; Howell A; Huang G; Humphreys K; Hunter DJ; Jakimovska M; Jakubowska A; Janni W; John EM; Johnson N; Jones ME; Jukkola-Vuorinen A; Jung A; Kaaks R; Kaczmarek K; Kataja V; Keeman R; Kerin MJ; Khusnutdinova E; Kiiski JI; Knight JA; Ko YD; Kosma VM; Koutros S; Kristensen VN; Krüger U; Kühl T; Lambrechts D; Le Marchand L; Lee E; Lejbkowicz F; Lilyquist J; Lindblom A; Lindström S; Lissowska J; Lo WY; Loibl S; Long J; Lubiński J; Lux MP; MacInnis RJ; Maishman T; Makalic E; Maleva Kostovska I; Mannermaa A; Manoukian S; Margolin S; Martens JWM; Martinez ME; Mavroudis D; McLean C; Meindl A; Menon U; Middha P; Miller N; Moreno F; Mulligan AM; Mulot C; Muñoz-Garzon VM; Neuhausen SL; Nevanlinna H; Neven P; Newman WG; Nielsen SF; Nordestgaard BG; Norman A; Offit K; Olson JE; Olsson H; Orr N; Pankratz VS; Park-Simon TW; Perez JIA; Pérez-Barrios C; Peterlongo P; Peto J; Pinchev M; Plaseska-Karanfilska D; Polley EC; Prentice R; Presneau N; Prokofyeva D; Purrington K; Pylkäs K; Rack B; Radice P; Rau-Murthy R; Rennert G; Rennert HS; Rhenius V; Robson M; Romero A; Ruddy KJ; Ruebner M; Saloustros E; Sandler DP; Sawyer EJ; Schmidt DF; Schmutzler RK; Schneeweiss A; Schoemaker MJ; Schumacher F; Schürmann P; Schwentner L; Scott C; Scott RJ; Seynaeve C; Shah M; Sherman ME; Shrubsole MJ; Shu XO; Slager S; Smeets A; Sohn C; Soucy P; Southey MC; Spinelli JJ; Stegmaier C; Stone J; Swerdlow AJ; Tamimi RM; Tapper WJ; Taylor JA; Terry MB; Thöne K; Tollenaar RAEM; Tomlinson I; Truong T; Tzardi M; Ulmer HU; Untch M; Vachon CM; van Veen EM; Vijai J; Weinberg CR; Wendt C; Whittemore AS; Wildiers H; Willett W; Winqvist R; Wolk A; Yang XR; Yannoukakos D; Zhang Y; Zheng W; Ziogas A; ; ; ; Dunning AM; Thompson DJ; Chenevix-Trench G; Chang-Claude J; Schmidt MK; Hall P; Milne RL; Pharoah PDP; Antoniou AC; Chatterjee N; Kraft P; García-Closas M; Simard J; Easton DF Am J Hum Genet; 2019 Jan; 104(1):21-34. PubMed ID: 30554720 [TBL] [Abstract][Full Text] [Related]
4. Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Breast Cancer Risk Prediction Among Asian Women. Yang Y; Tao R; Shu X; Cai Q; Wen W; Gu K; Gao YT; Zheng Y; Kweon SS; Shin MH; Choi JY; Lee ES; Kong SY; Park B; Park MH; Jia G; Li B; Kang D; Shu XO; Long J; Zheng W JAMA Netw Open; 2022 Mar; 5(3):e2149030. PubMed ID: 35311964 [TBL] [Abstract][Full Text] [Related]
5. Development and validation of genome-wide polygenic risk scores for predicting breast cancer incidence in Japanese females: a population-based case-cohort study. Ohbe H; Hachiya T; Yamaji T; Nakano S; Miyamoto Y; Sutoh Y; Otsuka-Yamasaki Y; Shimizu A; Yasunaga H; Sawada N; Inoue M; Tsugane S; Iwasaki M; Breast Cancer Res Treat; 2023 Feb; 197(3):661-671. PubMed ID: 36538246 [TBL] [Abstract][Full Text] [Related]
6. Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach. Gao G; Zhao F; Ahearn TU; Lunetta KL; Troester MA; Du Z; Ogundiran TO; Ojengbede O; Blot W; Nathanson KL; Domchek SM; Nemesure B; Hennis A; Ambs S; McClellan J; Nie M; Bertrand K; Zirpoli G; Yao S; Olshan AF; Bensen JT; Bandera EV; Nyante S; Conti DV; Press MF; Ingles SA; John EM; Bernstein L; Hu JJ; Deming-Halverson SL; Chanock SJ; Ziegler RG; Rodriguez-Gil JL; Sucheston-Campbell LE; Sandler DP; Taylor JA; Kitahara CM; O'Brien KM; Bolla MK; Dennis J; Dunning AM; Easton DF; Michailidou K; Pharoah PDP; Wang Q; Figueroa J; Biritwum R; Adjei E; Wiafe S; ; Ambrosone CB; Zheng W; Olopade OI; García-Closas M; Palmer JR; Haiman CA; Huo D Hum Mol Genet; 2022 Sep; 31(18):3133-3143. PubMed ID: 35554533 [TBL] [Abstract][Full Text] [Related]
7. Development and Validation of a Breast Cancer Polygenic Risk Score on the Basis of Genetic Ancestry Composition. Hughes E; Wagner S; Pruss D; Bernhisel R; Probst B; Abkevich V; Simmons T; Hullinger B; Judkins T; Rosenthal E; Roa B; Domchek SM; Eng C; Garber J; Gary M; Klemp J; Mukherjee S; Offit K; Olopade OI; Vijai J; Weitzel JN; Whitworth P; Yehia L; Gordon O; Pederson H; Kurian A; Slavin TP; Gutin A; Lanchbury JS JCO Precis Oncol; 2022 Nov; 6():e2200084. PubMed ID: 36331239 [TBL] [Abstract][Full Text] [Related]
8. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women. Ho WK; Tan MM; Mavaddat N; Tai MC; Mariapun S; Li J; Ho PJ; Dennis J; Tyrer JP; Bolla MK; Michailidou K; Wang Q; Kang D; Choi JY; Jamaris S; Shu XO; Yoon SY; Park SK; Kim SW; Shen CY; Yu JC; Tan EY; Chan PMY; Muir K; Lophatananon A; Wu AH; Stram DO; Matsuo K; Ito H; Chan CW; Ngeow J; Yong WS; Lim SH; Lim GH; Kwong A; Chan TL; Tan SM; Seah J; John EM; Kurian AW; Koh WP; Khor CC; Iwasaki M; Yamaji T; Tan KMV; Tan KTB; Spinelli JJ; Aronson KJ; Hasan SN; Rahmat K; Vijayananthan A; Sim X; Pharoah PDP; Zheng W; Dunning AM; Simard J; van Dam RM; Yip CH; Taib NAM; Hartman M; Easton DF; Teo SH; Antoniou AC Nat Commun; 2020 Jul; 11(1):3833. PubMed ID: 32737321 [TBL] [Abstract][Full Text] [Related]
9. Breast cancer polygenic risk scores derived in White European populations are not calibrated for women of Ashkenazi Jewish descent. Roberts E; van Veen EM; Byers H; Barnett-Griness O; Gronich N; Lejbkowicz F; Pinchev M; Smith MJ; Howell A; Newman WG; Woodward ER; Harkness EF; Brentnall AR; Cuzick J; Rennert G; Howell SJ; Evans DG Genet Med; 2023 Sep; 25(9):100846. PubMed ID: 37061873 [TBL] [Abstract][Full Text] [Related]
10. Development and validation of polygenic risk scores for prediction of breast cancer and breast cancer subtypes in Chinese women. Hou C; Xu B; Hao Y; Yang D; Song H; Li J BMC Cancer; 2022 Apr; 22(1):374. PubMed ID: 35395775 [TBL] [Abstract][Full Text] [Related]
11. Genetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry. Wang S; Qian F; Zheng Y; Ogundiran T; Ojengbede O; Zheng W; Blot W; Nathanson KL; Hennis A; Nemesure B; Ambs S; Olopade OI; Huo D Breast Cancer Res Treat; 2018 Apr; 168(3):703-712. PubMed ID: 29302764 [TBL] [Abstract][Full Text] [Related]
12. Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians. Ji Y; Long J; Kweon SS; Kang D; Kubo M; Park B; Shu XO; Zheng W; Tao R; Li B Genet Epidemiol; 2021 Jul; 45(5):471-484. PubMed ID: 33739539 [TBL] [Abstract][Full Text] [Related]
13. Polygenic risk scores for prediction of breast cancer in Korean women. Jee YH; Ho WK; Park S; Easton DF; Teo SH; Jung KJ; Kraft P Int J Epidemiol; 2023 Jun; 52(3):796-805. PubMed ID: 36343017 [TBL] [Abstract][Full Text] [Related]
14. A new method for multiancestry polygenic prediction improves performance across diverse populations. Zhang H; Zhan J; Jin J; Zhang J; Lu W; Zhao R; Ahearn TU; Yu Z; O'Connell J; Jiang Y; Chen T; Okuhara D; ; Garcia-Closas M; Lin X; Koelsch BL; Chatterjee N Nat Genet; 2023 Oct; 55(10):1757-1768. PubMed ID: 37749244 [TBL] [Abstract][Full Text] [Related]
15. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank. Wang L; Desai H; Verma SS; Le A; Hausler R; Verma A; Judy R; Doucette A; Gabriel PE; ; Nathanson KL; Damrauer SM; Mowery DL; Ritchie MD; Kember RL; Maxwell KN Genet Med; 2022 Mar; 24(3):601-609. PubMed ID: 34906489 [TBL] [Abstract][Full Text] [Related]
16. Breast cancer risk prediction using a clinical risk model and polygenic risk score. Shieh Y; Hu D; Ma L; Huntsman S; Gard CC; Leung JW; Tice JA; Vachon CM; Cummings SR; Kerlikowske K; Ziv E Breast Cancer Res Treat; 2016 Oct; 159(3):513-25. PubMed ID: 27565998 [TBL] [Abstract][Full Text] [Related]
17. Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry. Liu C; Zeinomar N; Chung WK; Kiryluk K; Gharavi AG; Hripcsak G; Crew KD; Shang N; Khan A; Fasel D; Manolio TA; Jarvik GP; Rowley R; Justice AE; Rahm AK; Fullerton SM; Smoller JW; Larson EB; Crane PK; Dikilitas O; Wiesner GL; Bick AG; Terry MB; Weng C JAMA Netw Open; 2021 Aug; 4(8):e2119084. PubMed ID: 34347061 [TBL] [Abstract][Full Text] [Related]
18. Evaluation of optimal methods and ancestries for calculating polygenic risk scores in East Asian population. Kim DJ; Kang JH; Kim JW; Cheon MJ; Kim SB; Lee YK; Lee BC Sci Rep; 2023 Nov; 13(1):19195. PubMed ID: 37932343 [TBL] [Abstract][Full Text] [Related]
19. The construction of cross-population polygenic risk scores using transfer learning. Zhao Z; Fritsche LG; Smith JA; Mukherjee B; Lee S Am J Hum Genet; 2022 Nov; 109(11):1998-2008. PubMed ID: 36240765 [TBL] [Abstract][Full Text] [Related]
20. Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies. Tian J; Zhang M; Zhang F; Gao K; Lu Z; Cai Y; Chen C; Ning C; Li Y; Qian S; Bai H; Liu Y; Zhang H; Chen S; Li X; Wei Y; Li B; Zhu Y; Yang J; Jin M; Miao X; Chen K Genome Med; 2024 Jun; 16(1):81. PubMed ID: 38872215 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]