about
GWAS of 126,559 individuals identifies genetic variants associated with educational attainmentIntegration of 'omics' data in aging research: from biomarkers to systems biologyGenome sequencing elucidates Sardinian genetic architecture and augments association analyses for lipid and blood inflammatory markersGenetic Influences on Metabolite Levels: A Comparison across Metabolomic PlatformsProton pump inhibitors alter the composition of the gut microbiotaImproved imputation of low-frequency and rare variants using the UK10K haplotype reference panelBiomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approachThe role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunitiesRare and low-frequency coding variants alter human adult heightGenetic variation at 16q24.2 is associated with small vessel stroke.Salt-inducible kinase 3, SIK3, is a new gene associated with hearing.Estimating telomere length from whole genome sequence dataPathway-based factor analysis of gene expression data produces highly heritable phenotypes that associate with age.PopPAnTe: population and pedigree association testing for quantitative data.Molecular pathways associated with blood pressure and hexadecanedioate levelsHeritability maps of human face morphology through large-scale automated three-dimensional phenotyping.Genome-wide methylation analysis of a large population sample shows neurological pathways involvement in chronic widespread musculoskeletal pain.Common mechanisms underlying refractive error identified in functional analysis of gene lists from genome-wide association study results in 2 European British cohortsGlycans are a novel biomarker of chronological and biological ages.Gene expression changes with age in skin, adipose tissue, blood and brain.Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipidsAssessment of age-related changes in heritability and IGF-1 gene effect on circulating IGF-1 levels.Gut microbiome diversity and high-fibre intake are related to lower long-term weight gain.Defining and Identifying Members of a Research Study Population: CTSA-Affiliated Faculty Members.A rare variant in APOC3 is associated with plasma triglyceride and VLDL levels in Europeans.ABCC5 transporter is a novel type 2 diabetes susceptibility gene in European and African American populations.Somatic point mutations occurring early in development: a monozygotic twin study.Human genetics shape the gut microbiome.The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in womenGlycosylation of immunoglobulin g: role of genetic and epigenetic influences.Metabolomic study of carotid-femoral pulse-wave velocity in women.Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements.Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association StudyHuman fertility, molecular genetics, and natural selection in modern societies.Sparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons.Gut-Microbiota-Metabolite Axis in Early Renal Function Decline.Generalised Anxiety Disorder--A Twin Study of Genetic Architecture, Genome-Wide Association and Differential Gene Expression.Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioateSignatures of early frailty in the gut microbiotaAnalysis and Visualization Tool for Targeted Amplicon Bisulfite Sequencing on Ion Torrent Sequencers.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Cohort Profile: TwinsUK and healthy ageing twin study
@ast
Cohort Profile: TwinsUK and healthy ageing twin study
@en
Cohort Profile: TwinsUK and healthy ageing twin study
@nl
type
label
Cohort Profile: TwinsUK and healthy ageing twin study
@ast
Cohort Profile: TwinsUK and healthy ageing twin study
@en
Cohort Profile: TwinsUK and healthy ageing twin study
@nl
prefLabel
Cohort Profile: TwinsUK and healthy ageing twin study
@ast
Cohort Profile: TwinsUK and healthy ageing twin study
@en
Cohort Profile: TwinsUK and healthy ageing twin study
@nl
P2860
P50
P3181
P356
P1476
Cohort Profile: TwinsUK and healthy ageing twin study
@en
P2093
Timothy D Spector
P2860
P3181
P356
10.1093/IJE/DYR207
P407
P577
2013-02-01T00:00:00Z