Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk. - Wikidata - awgldk - TriplyDB

Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk.

Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk.

http://www.wikidata.org/entity/Q37344880

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Common genetic variants in the 9p21 region and their associations with multiple tumours Association between p21 Ser31Arg polymorphism and cancer risk: a meta-analysis.Variation at 8q24 and 9p24 and risk of epithelial ovarian cancer.The 19q12 bladder cancer GWAS signal: association with cyclin E function and aggressive disease Association of germline variation in CCNE1 and CDK2 with breast cancer risk, progression and survival among Chinese Han women CCND1 gene polymorphic variants in patients with differentiated thyroid carcinoma Association of genetic polymorphisms in cell-cycle control genes and susceptibility to endometrial cancer among Chinese women.A Single Nucleotide Polymorphism in Catalase Is Strongly Associated with Ovarian Cancer Survival Genetic Association Between CDKN1B rs2066827 Polymorphism and Susceptibility to Cancer.Polymorphisms in the p63 and p73 genes are associated with ovarian cancer risk and clinicopathological variables Global ovarian cancer health disparities.Polymorphism at P21 codon 31 and dinucleotide polymorphism of P73 gene and susceptibility to bladder cancer in individuals from North India Cell cycle genes and ovarian cancer susceptibility: a tagSNP analysis.Role of DNA repair and cell cycle control genes in ovarian cancer susceptibility.Combination of genetic variants in cyclin D1 and retinoblastoma genes predict clinical outcome in oral cancer patients.

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Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk.

http://www.wikidata.org/entity/Q37344880

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article científic

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article scientifique

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scientific article published on 03 March 2009

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vedecký článok

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vetenskaplig artikel

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vědecký článek

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Candidate gene analysis using ...... hisms and ovarian cancer risk.

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Candidate gene analysis using ...... hisms and ovarian cancer risk.

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Candidate gene analysis using ...... hisms and ovarian cancer risk.

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1055-9965.EPI-08-0860

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Cancer Epidemiology, Biomarkers & Prevention

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Candidate gene analysis using ...... hisms and ovarian cancer risk.

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Alice S Whittemore

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Brooke L Fridley

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Catherine M Phelan

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David N Rider

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Ellen L Goode

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Estrid Hogdall

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Honglin Song

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Kristin L White

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Paul P D Pharaoh

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Richard DiCioccio

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P2860

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase

A second generation human haplotype map of over 3.1 million SNPs

Pathway-based evaluation of 380 candidate genes and lung cancer susceptibility suggests the importance of the cell cycle pathway

Why cancer and inflammation?

CDK inhibitors: positive and negative regulators of G1-phase progression

Inactivation of p16/CDKN2 and p15/MTS2 is associated with prognosis and response to chemotherapy in ovarian cancer

Efficiency and power in genetic association studies

A new multipoint method for genome-wide association studies by imputation of genotypes

Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium

Imputation-based analysis of association studies: candidate regions and quantitative traits

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935-944

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10.1158/1055-9965.EPI-08-0860

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Susanne Krüger Kjaer

Robert Vierkant

Joellen M Schildkraut

Julie M. Cunningham

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2009-03-03T00:00:00Z

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single-nucleotide polymorphism

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