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View article: Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S3. Waterfall plot highlighting SNP-environment interactions in in situ melanoma (M-is). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate (FDR) method. Th…
View article: Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S1. Waterfall plot highlighting significant (q<0.05) SNP-environment interactions in basal cell carcinoma (BCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discove…
View article: Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Table S1. Selected genes that are involved in DNA repair mechanisms.
View article: Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S2. Waterfall plot highlighting SNP-environment interactions in cutaneous squamous cell carcinoma (cSCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate…
View article: Genome-Wide Identification of 13 miR5200 Loci in Wheat and Investigation of Their Regulatory Roles Under Stress
Genome-Wide Identification of 13 miR5200 Loci in Wheat and Investigation of Their Regulatory Roles Under Stress Open
Background/Objectives: miR5200 is miRNA unique to Poaceae plants. Induced under short-day conditions, it modulates flowering time by regulating the florigen FT gene expression. However, to date, the genetic locus responsible for mature miR…
View article: Memory T‐Cell Phenotype in Cutaneous T‐Cell Lymphoma Is Modified by Germline Gene Gametocyte Specific Factor 1
Memory T‐Cell Phenotype in Cutaneous T‐Cell Lymphoma Is Modified by Germline Gene Gametocyte Specific Factor 1 Open
Cutaneous T‐cell lymphoma (CTCL) is a heterogeneous group of lymphoproliferative disorders characterised by skin infiltration by malignant memory T cells. While most patients will present with an indolent disease, others will follow a high…
View article: Genetic Mapping by 55K Single-Nucleotide Polymorphism Array Reveals Candidate Genes for Tillering Trait in Wheat Mutant dmc
Genetic Mapping by 55K Single-Nucleotide Polymorphism Array Reveals Candidate Genes for Tillering Trait in Wheat Mutant dmc Open
Background: The tiller number is a key agronomic trait for increasing the yield potential of wheat (Triticum aestivum L.). A number of quantitative trait loci (QTLs) and key genes controlling tillering have been identified, but the regulat…
View article: Data from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Data from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Background:Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene–environment interactions in at-risk individuals remain poorly-understood.Methods:We leveraged a UK Biobank cohor…
View article: Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Table S1. Selected genes that are involved in DNA repair mechanisms.
View article: Table S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Table S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Table S2. Ratios corresponding to skin cancer risk for each demographic and environmental variables.
View article: Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S2. Waterfall plot highlighting SNP-environment interactions in cutaneous squamous cell carcinoma (cSCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate…
View article: Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Table S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Table S1. Selected genes that are involved in DNA repair mechanisms.
View article: Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S2. Waterfall plot highlighting SNP-environment interactions in cutaneous squamous cell carcinoma (cSCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate…
View article: Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S1. Waterfall plot highlighting significant (q<0.05) SNP-environment interactions in basal cell carcinoma (BCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discove…
View article: Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S3. Waterfall plot highlighting SNP-environment interactions in in situ melanoma (M-is). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate (FDR) method. Th…
View article: Table S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Table S2 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Table S2. Ratios corresponding to skin cancer risk for each demographic and environmental variables.
View article: Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S1 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S1. Waterfall plot highlighting significant (q<0.05) SNP-environment interactions in basal cell carcinoma (BCC). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discove…
View article: Data from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Data from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Background:Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene–environment interactions in at-risk individuals remain poorly-understood.Methods:We leveraged a UK Biobank cohor…
View article: Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Figure S3 from Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Figure S3. Waterfall plot highlighting SNP-environment interactions in in situ melanoma (M-is). Relationships were computed using a robust joint interaction test and assessed for significance using the False Discovery Rate (FDR) method. Th…
View article: Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk Open
Background: Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene–environment interactions in at-risk individuals remain poorly-understood. Methods: We leveraged a UK Biobank co…
View article: Ectopically Expressed Meiosis-Specific Cancer Testis Antigen HORMAD1 Promotes Genomic Instability in Squamous Cell Carcinomas
Ectopically Expressed Meiosis-Specific Cancer Testis Antigen HORMAD1 Promotes Genomic Instability in Squamous Cell Carcinomas Open
Genomic instability is a prominent hallmark of cancer, however the mechanisms that drive and sustain this process remain elusive. Research demonstrates that numerous cancers with increased levels of genomic instability ectopically express …
View article: Comparison of the Basal Cell Carcinoma (BCC) Tumour Microenvironment to Other Solid Malignancies
Comparison of the Basal Cell Carcinoma (BCC) Tumour Microenvironment to Other Solid Malignancies Open
Basal cell carcinoma (BCC) is the most common form of skin cancer, contributing to nearly a third of new cancer cases in Western countries. Most BCCs are considered low risk “routine” lesions that can either be excised through surgery or t…
View article: A genome-wide screen for variants influencing certolizumab pegol response in a moderate to severe rheumatoid arthritis population
A genome-wide screen for variants influencing certolizumab pegol response in a moderate to severe rheumatoid arthritis population Open
Certolizumab pegol (CZP) is a PEGylated Fc-free tumor necrosis factor (TNF) inhibitor antibody approved for use in the treatment of rheumatoid arthritis (RA), Crohn’s disease, psoriatic arthritis, axial spondyloarthritis and psoriasis. In …
View article: Analysis of multiple basal cell carcinomas (BCCs) arising in one individual highlights genetic tumor heterogeneity and identifies novel driver mutations
Analysis of multiple basal cell carcinomas (BCCs) arising in one individual highlights genetic tumor heterogeneity and identifies novel driver mutations Open
Basal cell carcinoma (BCC) is the most common human cancer, especially in individuals with light skin phototypes (i.e., Fitzpatrick I-II skin type). Many affected develop multiple BCCs during their lifetime. It is not uncommon to observe e…
View article: The transcriptional landscape analysis of basal cell carcinomas reveals novel signalling pathways and actionable targets
The transcriptional landscape analysis of basal cell carcinomas reveals novel signalling pathways and actionable targets Open
Basal cell carcinoma (BCC) is the most common skin cancer and human malignancy. Although most BCCs are easily managed, some are aggressive locally, require Mohs micrographic surgery, or can even metastasize. In the latter, resistance to So…
View article: In silico analyses of the tumor microenvironment highlight tumoral inflammation, a Th2 cytokine shift and a mesenchymal stem cell-like phenotype in advanced in basal cell carcinomas
In silico analyses of the tumor microenvironment highlight tumoral inflammation, a Th2 cytokine shift and a mesenchymal stem cell-like phenotype in advanced in basal cell carcinomas Open
Basal Cell Carcinoma (BCC) represents the most common form of all cancers. BCC is characteristically surrounded by a fibromyxoid stroma. Previous studies have suggested a shift towards a Th2 response, an increase in T regulatory lymphocyte…
View article: Genetic architecture and adaptations of Nunavik Inuit
Genetic architecture and adaptations of Nunavik Inuit Open
The Canadian Inuit have a distinct population background that may entail particular implications for the health of its individuals. However, the number of genetic studies examining this Inuit population is limited, and much remains to be d…
View article: The Ectopic Expression of Meiosis Regulatory Genes in Cutaneous T-Cell Lymphomas (CTCL)
The Ectopic Expression of Meiosis Regulatory Genes in Cutaneous T-Cell Lymphomas (CTCL) Open
Cancer testis (CT) antigens, under normal circumstances are uniquely expressed in testicular germ cells. Recent research has shown that meiosis-specific CT (meiCT) antigens are ectopically expressed in cutaneous T-cell lymphoma (CTCL) and …
View article: Gene expression profiling and immune cell-type deconvolution highlight robust disease progression and survival markers in multiple cohorts of CTCL patients
Gene expression profiling and immune cell-type deconvolution highlight robust disease progression and survival markers in multiple cohorts of CTCL patients Open
CTCL follows different courses depending on the clinical stage at the time of diagnosis. Patients with early stage Mycosis Fungoides (MF) variant of CTCL may experience an indolent course over decades, whereas patients with advanced MF and…
View article: Genome-wide association analysis identifies new candidate risk loci for familial intracranial aneurysm in the French-Canadian population
Genome-wide association analysis identifies new candidate risk loci for familial intracranial aneurysm in the French-Canadian population Open