Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
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Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data.The recurrence risk of genetic complex diseases.Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk.Expression Quantitative Trait loci (QTL) in tumor adjacent normal breast tissue and breast tumor tissue.Epidemiology of ovarian cancer: a review.Mutational heterogeneity in non-serous ovarian cancers.Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility.Family-Specific Variants and the Limits of Human Genetics.Association of Polymorphisms in the VDR, CYP17 and SRD5A2 Genes and Prostate Cancer Among Lebanese MenTumor cells and their crosstalk with endothelial cells in 3D spheroids.Mechanisms of Breast Cancer in Shift Workers: DNA Methylation in Five Core Circadian Genes in Nurses Working Night Shifts.FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects.Genome-wide association study evaluating single-nucleotide polymorphisms and outcomes in patients with advanced stage serous ovarian or primary peritoneal cancer: An NRG Oncology/Gynecologic Oncology Group study.Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects.Cancer risk susceptibility loci in a Swedish population.Inverse association between height-increasing alleles and extreme longevity in Japanese women.An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations.The integrated landscape of causal genes and pathways in schizophrenia.IntLIM: integration using linear models of metabolomics and gene expression data.Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies.Qianlie Xiaozheng Decoction Induces Autophagy in Human Prostate Cancer Cells via Inhibition of the Akt/mTOR Pathway.Subunits of human condensins are potential therapeutic targets for cancers.Exploring the Link between the Germline and Somatic Genome in Cancer.Methylated DNMT1 and E2F1 are targeted for proteolysis by L3MBTL3 and CRL4DCAF5 ubiquitin ligase.Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort studyCross-cancer Prediction: A Novel Machine Learning Approach to Discover Molecular Targets for Development of Treatments for Multiple CancersCancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purityMachine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controlsComprehensive Analysis of Germline Variants in Mexican Patients with Hereditary Breast and Ovarian Cancer Susceptibility
P2860
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P2860
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
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2016 nî lūn-bûn
@nan
2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@ast
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@en
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@nl
type
label
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@ast
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@en
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@nl
prefLabel
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@ast
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@en
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@nl
P2093
P2860
P50
P921
P3181
P1433
P1476
Genome-Wide Meta-Analyses of B ...... d by at Least Two Cancer Types
@en
P2093
Adam S Kibel
Ali Amin Al Olama
Alice S Whittemore
Andrew Berchuck
Andrzej Kierzek
Beth Y Karlan
Catherine Phelan
Catriona McLean
Celeste Leigh Pearce
P2860
P304
P3181
P356
10.1158/2159-8290.CD-15-1227
P407
P50
P577
2016-09-01T00:00:00Z