Clinical utility of five genetic variants for predicting prostate cancer risk and mortality.
about
Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration.Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaborationClinical validity and utility of genetic risk scores in prostate cancerImproved prediction of complex diseases by common genetic markers: state of the art and further perspectivesThe role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision makingPopulation-based study of the association of variants in mismatch repair genes with prostate cancer risk and outcomes.Genetic variants in the LEPR, CRY1, RNASEL, IL4, and ARVCF genes are prognostic markers of prostate cancer-specific mortality.Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 3: an evaluation of SNP incorporated national health information system of Turkey for prostate canceImpact of prostate-specific antigen on a baseline prostate cancer risk assessment including genetic risk.Adding genetic risk score to family history identifies twice as many high-risk men for prostate cancer: Results from the prostate cancer prevention trial.The Xu's chart for prostate biopsy: a visual presentation of the added value of biomarkers to prostate-specific antigen for estimating detection rates of prostate cancer.An epidemiological reappraisal of the familial aggregation of prostate cancer: a meta-analysisGenome-wide association studies of cancer.Pooled sample-based GWAS: a cost-effective alternative for identifying colorectal and prostate cancer risk variants in the Polish population.Context-dependent effects of genome-wide association study genotypes and macroenvironment on time to biochemical (prostate specific antigen) failure after prostatectomy.Prostate cancer in young men: an important clinical entity.Testing for the recurrent HOXB13 G84E germline mutation in men with clinical indications for prostate biopsyHow can polygenic inheritance be used in population screening for common diseases?Prostate cancer predisposition loci and risk of metastatic disease and prostate cancer recurrence.The use of genomic information to optimize cancer chemotherapyProstate cancer risk alleles significantly improve disease detection and are associated with aggressive features in patients with a "normal" prostate specific antigen and digital rectal examinationPolygenic susceptibility to prostate and breast cancer: implications for personalised screeningImpact of genotyping on outcome of prostatic biopsies: a multicenter prospective study.Screening for familial and hereditary prostate cancer.8q24 risk alleles in West African and Caribbean men.Potential usefulness of single nucleotide polymorphisms to identify persons at high cancer risk: an evaluation of seven common cancers.GWAS SNP Replication among African American and European American men in the North Carolina-Louisiana prostate cancer project (PCaP)Population-based screening in the era of genomicsPotential impact of adding genetic markers to clinical parameters in predicting prostate biopsy outcomes in men following an initial negative biopsy: findings from the REDUCE trial.The PROFILE Feasibility Study: Targeted Screening of Men With a Family History of Prostate CancerProstate cancer risk-associated genetic markers and their potential clinical utilityPopulation-standardized genetic risk score: the SNP-based method of choice for inherited risk assessment of prostate cancer.A comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer riskAnalysis of recently identified prostate cancer susceptibility loci in a population-based study: associations with family history and clinical features.Association of prostate cancer risk Loci with disease aggressiveness and prostate cancer-specific mortality.Biomarkers in prostate cancer surveillance and screening: past, present, and future.Plateau effect of prostate cancer risk-associated SNPs in discriminating prostate biopsy outcomes.Evaluation of reported prostate cancer risk-associated SNPs from genome-wide association studies of various racial populations in Chinese men.Genetic variants in association studies--review of strengths and weaknesses in study design and current knowledge of impact on cancer risk.Prostate cancer genomics, biology, and risk assessment through genome-wide association studies.
P2860
Q24289354-6A50B367-5D26-4B91-9FA9-4FB893D26A71Q24289476-88D1D08C-00C5-462C-8AD3-B16BB802308FQ26746219-B4D12EF6-D54A-4100-85A1-10C7B2E294A2Q26770167-30ADE9B7-D989-4C20-BEFD-F0539D9822B1Q27025062-B6524877-1935-4B9A-BA34-C0879BDB5B5FQ30493284-703D8E8C-C4B8-4579-A823-8235A56C6F46Q30504100-E51112D0-37DD-41AA-9C15-E55307FEBFFBQ30884955-85501A7D-8D20-429B-B6FF-581EE9311899Q33585860-3B443815-8189-41DD-844F-A74026F24976Q33883502-E84BFD8C-1829-4AB2-82E6-6BF26B9DA7E3Q33922385-93DB66BC-4C18-42F2-8B9B-6F6E97616319Q34071472-082D31D8-2249-4A7B-BA8B-76FFD33D1B59Q34193988-758294B4-E537-4C54-B309-ADE71624B773Q34245058-414C7834-D52D-4CDC-B1C3-AAE7AEEC9D1BQ34275499-801B7A5A-C0EB-405C-90AE-C2ADCB9370A1Q34314644-BA7A7146-C781-4100-8416-38A4A137501BQ34323314-786A38D4-64E9-455C-B409-20E712971AF4Q34327946-2C2306C6-DF60-4AA6-A55A-76059B5E198CQ34688123-55C2D626-C08E-4D79-A382-79319287EF3FQ34791981-0246C987-DC24-4FDA-AB92-7DD6E028843EQ34946649-80C6A4FA-D3CB-4630-ACBD-BF3E9C2101D2Q34977428-A32591F2-D657-478E-8D8B-0414ECBA7969Q35016946-57CC6299-56AC-4EA9-9B57-E50590E9DFB3Q35861576-CFB0F19C-EC50-473B-B65F-C4C820FC4925Q35942186-6D9E6BAB-B72C-457F-9313-0F9E13F448CDQ36097440-57111FC3-2B1F-4BBA-B357-920E16996006Q36112373-977B9B23-BBC5-4595-A3AC-6EE1FB67484AQ36233914-D4EDB795-BAD4-49B5-A36F-493AEC7A7D73Q36599573-4A4855E9-36A6-4467-A821-A3196C80CC44Q37017011-9D276C8D-9C85-4AE3-8C67-947B4468AD49Q37085446-9CD0074A-75B9-4E54-A543-498541C13CC0Q37113165-043E7525-492F-41A3-B3F5-BA5C91641D50Q37217578-93D48421-8477-400D-848B-056D7D62FA00Q37253699-3ED62DCA-034D-4EE2-8670-834A806998AFQ37262639-95AED340-6E60-4337-93EB-6EA0BDD93CF9Q37300931-D651840F-C7AB-4F96-A710-45A4669318CEQ37541989-6C7399D2-CABA-4B2A-8187-097DE3407622Q37592171-00A4BF15-A15B-4A95-80F1-87A2B39A1033Q37622914-B14545F1-F49B-4F0D-9DE1-44A3761C1017Q37969803-E26FF8DC-F36B-4C32-A9B3-603905C911CB
P2860
Clinical utility of five genetic variants for predicting prostate cancer risk and mortality.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Clinical utility of five genet ...... ate cancer risk and mortality.
@ast
Clinical utility of five genet ...... ate cancer risk and mortality.
@en
type
label
Clinical utility of five genet ...... ate cancer risk and mortality.
@ast
Clinical utility of five genet ...... ate cancer risk and mortality.
@en
prefLabel
Clinical utility of five genet ...... ate cancer risk and mortality.
@ast
Clinical utility of five genet ...... ate cancer risk and mortality.
@en
P2093
P2860
P356
P1433
P1476
Clinical utility of five genet ...... ate cancer risk and mortality.
@en
P2093
Claudia A Salinas
Daniel W Lin
Erika M Kwon
Janet L Stanford
Joseph S Koopmeiners
Ziding Feng
P2860
P304
P356
10.1002/PROS.20887
P577
2009-03-01T00:00:00Z