Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health.
about
Fetal alcohol exposure and IQ at age 8: evidence from a population-based birth-cohort studyThe mathematical limits of genetic prediction for complex chronic diseaseData-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with diseaseMR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomizationSystematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitusMendelian randomization: genetic anchors for causal inference in epidemiological studiesAssessing causality in the association between child adiposity and physical activity levels: a Mendelian randomization analysisInvestigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortiumPhenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumptionThe role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunitiesMendelian randomization in cardiometabolic disease: challenges in evaluating causality.Association of lactase persistence genotype with milk consumption, obesity and blood pressure: a Mendelian randomization study in the 1982 Pelotas (Brazil) Birth Cohort, with a systematic review and meta-analysisCausal relationship between obesity and serum testosterone status in men: A bi-directional mendelian randomization analysisAssociations between an obesity related genetic variant (FTO rs9939609) and prostate cancer risk.Perinatal depression and omega-3 fatty acids: a Mendelian randomisation study.Interplay of genetic risk (CHRNA5) and environmental risk (partner smoking) on cigarette smoking reductionCommentary: Does mortality from smoking have implications for future Mendelian randomization studies?Maternal and offspring fasting glucose and type 2 diabetes-associated genetic variants and cognitive function at age 8: a Mendelian randomization study in the Avon Longitudinal Study of Parents and Children.Using Mendelian randomisation to infer causality in depression and anxiety research.Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.ADH1B and ADH1C genotype, alcohol consumption and biomarkers of liver function: findings from a Mendelian randomization study in 58,313 European origin Danes.Associations of vitamin D pathway genes with circulating 25-hydroxyvitamin-D, 1,25-dihydroxyvitamin-D, and prostate cancer: a nested case-control studyChild height, health and human capital: Evidence using genetic markers.The causal roles of vitamin B(12) and transcobalamin in prostate cancer: can Mendelian randomization analysis provide definitive answers?Postnatal growth and DNA methylation are associated with differential gene expression of the TACSTD2 gene and childhood fat mass.G = E: What GWAS Can Tell Us about the EnvironmentExploring causal associations of alcohol with cardiovascular and metabolic risk factors in a Chinese population using Mendelian randomization analysisCaffeine Consumption Contributes to Skin Intrinsic Fluorescence in Type 1 DiabetesThe effects of height and BMI on prostate cancer incidence and mortality: a Mendelian randomization study in 20,848 cases and 20,214 controls from the PRACTICAL consortium.Alcohol Intake and Serum Glucose Levels from the Perspective of a Mendelian Randomization Design: The KCPS-II Biobank.Polyunsaturated fatty acid levels in blood during pregnancy, at birth and at 7 years: their associations with two common FADS2 polymorphismsRecommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.Alcohol intake and cardiovascular risk factors: A Mendelian randomisation study.Genetic variation in the 15q25 nicotinic acetylcholine receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) interacts with maternal self-reported smoking status during pregnancy to influence birth weight.Genetic markers as instrumental variables.DNA Methylation and BMI: Investigating Identified Methylation Sites at HIF3A in a Causal Framework.Paradoxical Relationship Between Body Mass Index and Thyroid Hormone Levels: A Study Using Mendelian Randomization.Genetic instrumental variable studies of effects of prenatal risk factors.Body mass index and psychiatric disorders: a Mendelian randomization studyEstimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation
P2860
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P2860
Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Use of genetic markers and gen ...... influences of diet on health.
@ast
Use of genetic markers and gen ...... influences of diet on health.
@en
Use of genetic markers and gen ...... influences of diet on health.
@nl
type
label
Use of genetic markers and gen ...... influences of diet on health.
@ast
Use of genetic markers and gen ...... influences of diet on health.
@en
Use of genetic markers and gen ...... influences of diet on health.
@nl
prefLabel
Use of genetic markers and gen ...... influences of diet on health.
@ast
Use of genetic markers and gen ...... influences of diet on health.
@en
Use of genetic markers and gen ...... influences of diet on health.
@nl
P2860
P1433
P1476
Use of genetic markers and gen ...... influences of diet on health.
@en
P2860
P2888
P356
10.1007/S12263-010-0181-Y
P577
2010-09-10T00:00:00Z
P5875
P6179
1049171822