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Showing 1 to 12 of 13 entries
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Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.

Cancer communications (London, England)

Wu C, Zhu J, King A, Tong X, Lu Q, Park JY, Wang L, Gao G, Deng HW, Yang Y, Knudsen KE, Rebbeck TR, Long J, Zheng W, Pan W, Conti DV, Haiman CA, Wu L.
PMID: 34520132
Cancer Commun (Lond). 2021 Dec;41(12):1387-1397. doi: 10.1002/cac2.12205. Epub 2021 Sep 14.

BACKGROUND: DNA methylation and gene expression are known to play important roles in the etiology of human diseases such as prostate cancer (PCa). However, it has not yet been possible to incorporate information of DNA methylation and gene expression...

Radiogenomics Consortium Genome-Wide Association Study Meta-Analysis of Late Toxicity After Prostate Cancer Radiotherapy.

Journal of the National Cancer Institute

Kerns SL, Fachal L, Dorling L, Barnett GC, Baran A, Peterson DR, Hollenberg M, Hao K, Narzo AD, Ahsen ME, Pandey G, Bentzen SM, Janelsins M, Elliott RM, Pharoah PDP, Burnet NG, Dearnaley DP, Gulliford SL, Hall E, Sydes MR, Aguado-Barrera ME, Gómez-Caamaño A, Carballo AM, Peleteiro P, Lobato-Busto R, Stock R, Stone NN, Ostrer H, Usmani N, Singhal S, Tsuji H, Imai T, Saito S, Eeles R, DeRuyck K, Parliament M, Dunning AM, Vega A, Rosenstein BS, West CML.
PMID: 31095341
J Natl Cancer Inst. 2020 Feb 01;112(2):179-190. doi: 10.1093/jnci/djz075.

BACKGROUND: A total of 10%-20% of patients develop long-term toxicity following radiotherapy for prostate cancer. Identification of common genetic variants associated with susceptibility to radiotoxicity might improve risk prediction and inform functional mechanistic studies.METHODS: We conducted an individual patient...

The Costs and Benefits of Risk Stratification for Colorectal Cancer Screening Based On Phenotypic and Genetic Risk: A Health Economic Analysis.

Cancer prevention research (Philadelphia, Pa.)

Thomas C, Mandrik O, Saunders CL, Thompson D, Whyte S, Griffin S, Usher-Smith JA.
PMID: 34039685
Cancer Prev Res (Phila). 2021 Aug;14(8):811-822. doi: 10.1158/1940-6207.CAPR-20-0620. Epub 2021 May 26.

Population-based screening for colorectal cancer is an effective and cost-effective way of reducing colorectal cancer incidence and mortality. Many genetic and phenotypic risk factors for colorectal cancer have been identified, leading to development of colorectal cancer risk scores with...

Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.

International journal of epidemiology

Hurson AN, Pal Choudhury P, Gao C, Hüsing A, Eriksson M, Shi M, Jones ME, Evans DGR, Milne RL, Gaudet MM, Vachon CM, Chasman DI, Easton DF, Schmidt MK, Kraft P, Garcia-Closas M, Chatterjee N.
PMID: 34999890
Int J Epidemiol. 2022 Jan 06;50(6):1897-1911. doi: 10.1093/ije/dyab036.

BACKGROUND: Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS)...

Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.

International journal of epidemiology

Hurson AN, Pal Choudhury P, Gao C, Hüsing A, Eriksson M, Shi M, Jones ME, Evans DGR, Milne RL, Gaudet MM, Vachon CM, Chasman DI, Easton DF, Schmidt MK, Kraft P, Garcia-Closas M, Chatterjee N.
PMID: 34999890
Int J Epidemiol. 2022 Jan 06;50(6):1897-1911. doi: 10.1093/ije/dyab036.

BACKGROUND: Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS)...

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.

Cancer communications (London, England)

Wu C, Zhu J, King A, Tong X, Lu Q, Park JY, Wang L, Gao G, Deng HW, Yang Y, Knudsen KE, Rebbeck TR, Long J, Zheng W, Pan W, Conti DV, Haiman CA, Wu L.
PMID: 34520132
Cancer Commun (Lond). 2021 Dec;41(12):1387-1397. doi: 10.1002/cac2.12205. Epub 2021 Sep 14.

BACKGROUND: DNA methylation and gene expression are known to play important roles in the etiology of human diseases such as prostate cancer (PCa). However, it has not yet been possible to incorporate information of DNA methylation and gene expression...

Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.

Breast cancer research : BCR

Morra A, Escala-Garcia M, Beesley J, Keeman R, Canisius S, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Auer PL, Augustinsson A, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brenner H, Brüning T, Buys SS, Caan B, Campa D, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Cheng TD, Clarke CL, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Dörk T, Dossus L, Dunning AM, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Flyger H, Fritschi L, Gago-Dominguez M, García-Sáenz JA, Giles GG, Grip M, Guénel P, Gündert M, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Hart SN, Hartikainen JM, Hartmann A, He W, Hooning MJ, Hoppe R, Hopper JL, Howell A, Hunter DJ, Jager A, Jakubowska A, Janni W, John EM, Jung AY, Kaaks R, Keupers M, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Linet M, Luben RN, Lubiński J, Lush M, Mannermaa A, Manoochehri M, Margolin S, Martens JWM, Martinez ME, Mavroudis D, Michailidou K, Milne RL, Mulligan AM, Muranen TA, Nevanlinna H, Newman WG, Nielsen SF, Nordestgaard BG, Olshan AF, Olsson H, Orr N, Park-Simon TW, Patel AV, Peissel B, Peterlongo P, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Rack B, Rennert G, Rennert HS, Rhenius V, Romero A, Roylance R, Ruebner M, Saloustros E, Sawyer EJ, Schmutzler RK, Schneeweiss A, Scott C, Shah M, Smichkoska S, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Teras LR, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Truong T, Vachon CM, Wang Q, Hurson AN, Winqvist R, Wolk A, Ziogas A, Brauch H, García-Closas M, Pharoah PDP, Easton DF, Chenevix-Trench G, Schmidt MK.
PMID: 34407845
Breast Cancer Res. 2021 Aug 18;23(1):86. doi: 10.1186/s13058-021-01450-7.

BACKGROUND: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.METHODS: We performed genome-wide association analyses within...

Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry.

Journal of the National Cancer Institute

Du Z, Gao G, Adedokun B, Ahearn T, Lunetta KL, Zirpoli G, Troester MA, Ruiz-Narváez EA, Haddad SA, PalChoudhury P, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Mancuso N, Press MF, Deming SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbe O, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Sandler DP, Taylor JA, Wang Q, Weinberg CR, Kitahara CM, Blot W, Nathanson KL, Hennis A, Nemesure B, Ambs S, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Olshan AF, Ambrosone CB, Olopade OI, Yarney J, Awuah B, Wiafe-Addai B, Conti DV, Palmer JR, Garcia-Closas M, Huo D, Haiman CA.
PMID: 33769540
J Natl Cancer Inst. 2021 Sep 04;113(9):1168-1176. doi: 10.1093/jnci/djab050.

BACKGROUND: Polygenic risk scores (PRSs) have been demonstrated to identify women of European, Asian, and Latino ancestry at elevated risk of developing breast cancer (BC). We evaluated the performance of existing PRSs trained in European ancestry populations among women...

No Evidence for a Causal Relationship Between Cancers and Parkinson's Disease.

Journal of Parkinson's disease

Senkevich K, Bandres-Ciga S, Yu E, Liyanage UE, Noyce AJ, Gan-Or Z.
PMID: 33646179
J Parkinsons Dis. 2021;11(2):801-809. doi: 10.3233/JPD-202474.

BACKGROUND: Epidemiological data suggest that cancer patients have a reduced risk of subsequent Parkinson's disease (PD) development, but the prevalence of PD in melanoma patients is often reported to be increased. Causal relationships between cancers and PD have not...

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.

Cancer communications (London, England)

Wu C, Zhu J, King A, Tong X, Lu Q, Park JY, Wang L, Gao G, Deng HW, Yang Y, Knudsen KE, Rebbeck TR, Long J, Zheng W, Pan W, Conti DV, Haiman CA, Wu L.
PMID: 34520132
Cancer Commun (Lond). 2021 Dec;41(12):1387-1397. doi: 10.1002/cac2.12205. Epub 2021 Sep 14.

BACKGROUND: DNA methylation and gene expression are known to play important roles in the etiology of human diseases such as prostate cancer (PCa). However, it has not yet been possible to incorporate information of DNA methylation and gene expression...

Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry.

Breast cancer research : BCR

Pal Choudhury P, Brook MN, Hurson AN, Lee A, Mulder CV, Coulson P, Schoemaker MJ, Jones ME, Swerdlow AJ, Chatterjee N, Antoniou AC, Garcia-Closas M.
PMID: 33588869
Breast Cancer Res. 2021 Feb 15;23(1):22. doi: 10.1186/s13058-021-01399-7.

BACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS)....

An economical and highly adaptable optogenetics system for individual and population-level manipulation of Caenorhabditis elegans.

BMC biology

Koopman M, Janssen L, Nollen EAA.
PMID: 34429103
BMC Biol. 2021 Aug 24;19(1):170. doi: 10.1186/s12915-021-01085-2.

BACKGROUND: Optogenetics allows the experimental manipulation of excitable cells by a light stimulus without the need for technically challenging and invasive procedures. The high degree of spatial, temporal, and intensity control that can be achieved with a light stimulus,...

Showing 1 to 12 of 13 entries