Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers--results from BPC3. - Wikidata - awgldk - TriplyDB

Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers--results from BPC3.

Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers--results from BPC3.

http://www.wikidata.org/entity/Q33842251

about

East meets West: ethnic differences in prostate cancer epidemiology between East Asians and Caucasians Performance of an adipokine pathway-based multilocus genetic risk score for prostate cancer risk prediction Genome-wide association study identifies new prostate cancer susceptibility loci A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants Personalized medicine for the management of benign prostatic hyperplasia A flexible Bayesian model for studying gene-environment interaction.Association of type 2 diabetes susceptibility variants with advanced prostate cancer risk in the Breast and Prostate Cancer Cohort Consortium.Generalizability of established prostate cancer risk variants in men of African ancestry Two susceptibility loci identified for prostate cancer aggressiveness.Association between EHBP1 rs721048(A>G) polymorphism and prostate cancer susceptibility: a meta-analysis of 17 studies involving 150,678 subjects Screening for familial and hereditary prostate cancer.Common genetic variants in prostate cancer risk prediction--results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3)A large multiethnic genome-wide association study of prostate cancer identifies novel risk variants and substantial ethnic differences.Analysis of Prostate Cancer Susceptibility Variants in South African Men: Replicating Associations on Chromosomes 8q24 and 10q11.Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases Characterization of gene-environment interactions for colorectal cancer susceptibility loci.Interactions between genome-wide significant genetic variants and circulating concentrations of insulin-like growth factor 1, sex hormones, and binding proteins in relation to prostate cancer risk in the National Cancer Institute Breast and Prostate Associations of prostate cancer risk variants with disease aggressiveness: results of the NCI-SPORE Genetics Working Group analysis of 18,343 cases.Informed conditioning on clinical covariates increases power in case-control association studies Whole-exome sequencing of over 4100 men of African ancestry and prostate cancer risk.Finding the missing gene-environment interactions Association between 17q25.3-rs6465657 polymorphism and prostate cancer susceptibility: a meta-analysis based on 19 studies Variation in HNF1B and Obesity May Influence Prostate Cancer Risk in African American Men: A Pilot Study.Prostate cancer (PCa) risk variants and risk of fatal PCa in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium.Active surveillance for low-risk prostate cancer: an update.The complexity of prostate cancer: genomic alterations and heterogeneity.The genetic epidemiology of prostate cancer and its clinical implications.Toll-like receptors and prostate cancer.Height, selected genetic markers and prostate cancer risk: results from the PRACTICAL consortium.Interactions Between Genome-Wide Significant Genetic Variants and Circulating Concentrations of 25-Hydroxyvitamin D in Relation to Prostate Cancer Risk in the National Cancer Institute BPC3.Cohort Profile: The Melbourne Collaborative Cohort Study (Health 2020).Does genotyping of risk-associated single nucleotide polymorphisms improve patient selection for prostate biopsy when combined with a prostate cancer risk calculator?Genetic ancestry and prostate cancer susceptibility SNPs in Puerto Rican and African American men.Genetic variants of the Wnt signaling pathway as predictors of aggressive disease and reclassification in men with early stage prostate cancer on active surveillance.Exploring and Harnessing Haplotype Diversity to Improve Yield Stability in Crops.Multiplex pyrosequencing assay using AdvISER-MH-PYRO algorithm: a case for rapid and cost-effective genotyping analysis of prostate cancer risk-associated SNPs Association of prostate cancer risk alleles with unfavourable pathological characteristics in potential candidates for active surveillance.Association between KLK3 rs2735839 G/A polymorphism and serum PSA levels in Japanese men.Impact of Genetic Variants on the Individual Potential for Body Fat Loss.Angiotensin-converting enzyme insertion/deletion polymorphism and the risk of prostate cancer in the Han population of China.

P2860

Q26827438-07EF251B-20CE-4B62-A622-747157FF25F7 Q28727717-F100C402-9CA5-4598-AB37-FA2323766BA5 Q28924380-682148F3-C994-4516-8EC1-615F08E932F9 Q28943269-BC24F0A4-8F28-4608-A5DB-D5BA38A5B4B9 Q34084593-D7C3DFA4-7274-4B93-8552-C97A6799DB19 Q34145755-0451FB9D-6402-42C6-928D-C6514AB9EA34 Q34314362-82A2216D-378B-40CD-9399-CF83CDA8FA9F Q34716723-D30B7BBD-05A2-4A53-8BEF-0AC388BD9274 Q35575585-49F62A69-0556-4DA0-8148-712FAF380161 Q35846834-C573CD10-601D-440B-B8A8-AC94D46F47A2 Q35861576-D28CE4C9-FF1B-429F-B78E-323AB58162AB Q35868793-4CFB3920-1558-49F0-A0CA-52D45B31B8E2 Q35925225-B99BA1D2-604F-4F78-B537-3A954B00D200 Q35996120-98EF6D58-2C4D-42EA-8892-BB9F3BEF55EF Q36017113-E7E5E3F5-5A8F-49BF-8349-31A405D5F84F Q36030354-CB98FF7F-26AE-41C9-A34C-A4F1FA4BB900 Q36077025-3BE3809C-F892-474B-9EEC-7FE5514C75AB Q36100579-AAC0DA4D-9891-4959-928C-EB97AD6683E7 Q36384402-477443BA-8548-488E-95AC-9BC3E4F45177 Q36895709-E7A488DD-93FD-4CBB-A5C3-C50FA68F7883 Q36998585-E454EA34-7F2C-460B-92F6-486671EF7DA3 Q37138670-C6256503-3BF8-4CB1-A506-EFED1904D510 Q37413302-F9649BD2-3A4E-474E-8FB2-E487E4380B20 Q37735483-E73DFA90-9F43-48F1-BA83-CEFD4EF489AB Q37868926-EDD7AC43-B3CE-4FE4-B548-B658F89A9246 Q38058243-6220B1DD-4F97-4BBD-8329-11C27AAB0D2D Q38168060-77AC9CA5-3422-4A0B-B608-0BB2E22D600F Q38237640-4977FC6B-2D75-4823-9F15-7B5B921B9597 Q38647896-7477B68A-4403-45B6-AEBE-2D6D072BE32D Q38842066-F09CCA81-42AD-4FBD-B661-6F6ACA957F44 Q40149181-F870C60B-4517-4392-9F05-58A95880037E Q40152616-6700B59B-D89F-42A7-91A5-D1E1C7FEA786 Q40185962-4D818E8D-CC15-460E-80D5-FB3C3B731A2D Q40625323-FB962FB8-6D0D-4929-ACEC-0645D9A78ED1 Q41455632-A03D86F6-3F1D-4965-AD8E-A0958B248DC5 Q41644041-122AE114-95E3-4530-B73B-54473DBF1B37 Q42011678-A967F01E-0DBC-4C5D-B40C-4064B9FEF2B9 Q43633268-2FD7D787-EC0B-4820-859E-7043D723C2E3 Q52729551-0E5EC60C-CEF8-48D7-917D-53D6CA087FC9 Q54351805-B510DF5B-24D9-4967-8619-8A7C256A7571

P2860

Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers--results from BPC3.

http://www.wikidata.org/entity/Q33842251

description

2011 nî lūn-bûn

@nan

2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Characterizing associations an ...... sk markers--results from BPC3.

@ast

Characterizing associations an ...... sk markers--results from BPC3.

@en

type

label

Characterizing associations an ...... sk markers--results from BPC3.

@ast

Characterizing associations an ...... sk markers--results from BPC3.

@en

prefLabel

Characterizing associations an ...... sk markers--results from BPC3.

@ast

Characterizing associations an ...... sk markers--results from BPC3.

@en

P1433

Q33842251-0C5E3833-23CB-4897-9BC5-0DD0DCCEA0FA

P1476

Q33842251-C603C18F-0A84-49A8-B1F1-1A580AB52DD3

P2093

Q33842251-12A082DD-3CFB-4F40-AAD8-40B9DEC6AD5D

Q33842251-1EEA2FDD-3DFB-4AB9-8AEC-B8FB64E737D4

Q33842251-4F4401D8-5B06-40CF-9325-75568DDCEF0D

Q33842251-576C242F-631B-4D16-9412-47E2794F1ABE

Q33842251-5C878BCD-7BC5-4C32-A3FC-15F44B48BDE8

Q33842251-64DD8E22-207E-4502-8B82-E5FB186E1D54

Q33842251-7795932F-D3BF-4EBE-A9E8-3B7BB047F1E7

Q33842251-94C799FE-9786-4B72-8EF8-6CBC4F18CCE7

Q33842251-BEBB566D-2CF8-41EA-8FC8-70A3CC376442

Q33842251-DC084E63-9FFA-4533-A902-FD52684C5095

P2860

Q33842251-003DA7DD-C06D-475A-AA6D-1534F5E833C0

Q33842251-00B8AA66-BD2F-4612-940C-98A43B1D2F67

Q33842251-0318F439-0179-429D-ADAE-E3C0EA941416

Q33842251-1759DBA2-79F9-4352-AD95-6BD98A86AC5A

Q33842251-1D56C2D4-3F54-477F-85FD-74AAF009414E

Q33842251-2F81C92F-D6D0-4820-BCF5-46D32B450C0E

Q33842251-313FE2D1-FBBD-4A4F-9969-0A5FB1EAF86D

Q33842251-34589FBC-FE35-4B43-B23D-92BD38615853

Q33842251-37118576-0C29-41E7-AB7A-F9D2063E38A2

Q33842251-441B86A1-5568-4EBA-846B-8D5BE2E13AAF

P304

Q33842251-B2078758-8AC2-45CF-BF67-72DA5235B85E

P31

Q33842251-6A3332E5-2B8E-4934-B8F3-5587351B924A

P356

Q33842251-90ED55BC-DE7D-4E9B-9AAB-DFCE1958544F

P407

Q33842251-476BBC4D-79DD-4B1D-9733-B160E41A6591

P433

Q33842251-B87EA7B4-C852-488B-B915-7E649DA5CB94

P478

Q33842251-6A4BE347-6436-447D-93D7-DA191DF2343C

P50

Q33842251-0D3509C1-AE9E-45DA-9CC5-31CA229943C6

Q33842251-108AE1AD-477D-46F4-A36C-55F925FB3F9D

Q33842251-14F92EA3-8181-4744-B60C-D1578F77C5A7

Q33842251-1FCDCB3C-5D2D-496A-9386-9C6DBC3BCC1F

Q33842251-26162C8E-AF2D-4EAE-AC38-43624EC1BDF8

Q33842251-2BB9E5F8-C73B-4E98-AF00-B9A4191ACD58

Q33842251-6779C71C-752F-4EA5-AEA5-94E5DB85A32D

Q33842251-78071683-8527-4A03-898A-F724D02DCBC8

Q33842251-78B0851E-900F-46CE-8326-DA08E2280CB4

Q33842251-78B55DBD-9D2E-4379-8F7D-8E33F3187A22

P577

Q33842251-C8AB6F53-F814-47A4-BEA6-7516F65F5446

P5875

Q33842251-272774B3-8C97-4102-9FCF-000C60EC7D1D

P698

Q33842251-EB2B7917-5740-4928-8AE4-09633249C83B

P921

Q33842251-E924E6F0-3210-4457-98E9-DD434F955114

P932

Q33842251-E37D0B91-7688-4E5C-B5C3-57FF02303314

P356

JOURNAL.PONE.0017142

P1433

P1476

Characterizing associations an ...... sk markers--results from BPC3.

@en

P2093

Carolyn Guo

http://www.w3.org/2001/XMLSchema#string

Daniel O Stram

http://www.w3.org/2001/XMLSchema#string

Daniele Campa

http://www.w3.org/2001/XMLSchema#string

David Crawford

http://www.w3.org/2001/XMLSchema#string

Gerald Andriole

http://www.w3.org/2001/XMLSchema#string

J Michael Gaziano

http://www.w3.org/2001/XMLSchema#string

Jing Ma

http://www.w3.org/2001/XMLSchema#string

Jytte Halkjaer

http://www.w3.org/2001/XMLSchema#string

Laurence N Kolonel

http://www.w3.org/2001/XMLSchema#string

Michael J Thun

http://www.w3.org/2001/XMLSchema#string

P2860

A meta-analysis of alcohol drinking and cancer risk

The American Cancer Society Cancer Prevention Study II Nutrition Cohort: rationale, study design, and baseline characteristics

Multiple newly identified loci associated with prostate cancer susceptibility

Common sequence variants on 2p15 and Xp11.22 confer susceptibility to prostate cancer

Multiple loci identified in a genome-wide association study of prostate cancer

Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers

Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium.

P304

e17142

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0017142

http://www.w3.org/2001/XMLSchema#string

P407

P433

2

http://www.w3.org/2001/XMLSchema#string

P478

6

http://www.w3.org/2001/XMLSchema#string

P50

Dimitrios Trichopoulos

Edward Giovannucci

David J. Hunter

Stephen Chanock

Meredith Yeager

Demetrius Albanes

Gianluca Severi

Loic Le Marchand

P577

2011-02-24T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

50352299

http://www.w3.org/2001/XMLSchema#string

P698

21390317

http://www.w3.org/2001/XMLSchema#string

P921

genome-wide association study

P932

3044744

http://www.w3.org/2001/XMLSchema#string