Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.
about
Personalized medicine in rheumatologyLineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene PromotersDissecting the genetics of complex traits using summary association statisticsGenetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.XGR software for enhanced interpretation of genomic summary data, illustrated by application to immunological traits.Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease.Genetic regulation of gene expression in the epileptic human hippocampus.Multi-omics approaches to disease.Genetic architecture of epigenetic and neuronal ageing rates in human brain regions.Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolismPleiotropic Effects of Trait-Associated Genetic Variation on DNA Methylation: Utility for Refining GWAS Loci.Effects of Type 1 Diabetes Risk Alleles on Immune Cell Gene ExpressionGenetics of rheumatoid arthritis susceptibility, severity, and treatment response.Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues.Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalizationParkinson's disease-associated genetic variation is linked to quantitative expression of inflammatory genes.Genetic pleiotropy in complex traits and diseases: implications for genomic medicineGLITTER: a web-based application for gene link inspection through tissue-specific coexpression.The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.A functional SNP associated with atopic dermatitis controls cell type-specific methylation of the VSTM1 gene locus.Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease.TMEM175 deficiency impairs lysosomal and mitochondrial function and increases α-synuclein aggregation.Endometriosis risk alleles at 1p36.12 act through inverse regulation of CDC42 and LINC00339.Embracing polygenicity: a review of methods and tools for psychiatric genetics research.Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data.Transcriptional risk scores link GWAS to eQTLs and predict complications in Crohn's disease.Prioritising Causal Genes at Type 2 Diabetes Risk Loci.Epigenetic research in multiple sclerosis: progress, challenges, and opportunities.Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.A comparison of methods for inferring causal relationships between genotype and phenotype using additional biological measurements.10 Years of GWAS Discovery: Biology, Function, and Translation.Exploring a causal role of DNA methylation in the relationship between maternal vitamin B12 during pregnancy and child's IQ at age 8, cognitive performance and educational attainment: a two-step Mendelian randomization study.A Genome-wide Expression Association Analysis Identifies Genes and Pathways Associated with Amyotrophic Lateral Sclerosis.Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers.Role of DNA Methylation in Type 2 Diabetes Etiology: Using Genotype as a Causal Anchor.Polygenic burdens on cell-specific pathways underlie the risk of rheumatoid arthritis.Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility.Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.
P2860
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P2860
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մարտին 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
Integration of summary data fr ...... ts complex trait gene targets.
@ast
Integration of summary data fr ...... ts complex trait gene targets.
@en
type
label
Integration of summary data fr ...... ts complex trait gene targets.
@ast
Integration of summary data fr ...... ts complex trait gene targets.
@en
prefLabel
Integration of summary data fr ...... ts complex trait gene targets.
@ast
Integration of summary data fr ...... ts complex trait gene targets.
@en
P2860
P50
P356
P1433
P1476
Integration of summary data fr ...... ts complex trait gene targets.
@en
P2093
Joseph E Powell
P2860
P2888
P304
P356
10.1038/NG.3538
P407
P50
P577
2016-03-28T00:00:00Z
P6179
1013588188