Metabolomics in epidemiology: sources of variability in metabolite measurements and implications.
about
Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networksThe use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples.Alcohol Consumption-Related Metabolites in Relation to Colorectal Cancer and Adenoma: Two Case-Control Studies Using Serum Biomarkers.Plant-to-Plant Variability in Root Metabolite Profiles of 19 Arabidopsis thaliana Accessions Is Substance-Class-Dependent.Sources of variability in metabolite measurements from urinary samples.Assessment of metabolic phenotypic variability in children's urine using 1H NMR spectroscopyMedium-term variability of the human serum metabolome in the Atherosclerosis Risk in Communities (ARIC) studyImportance of metabolomics analyses of maternal parameters and their influence on fetal growth.Pre-diagnostic metabolite concentrations and prostate cancer risk in 1077 cases and 1077 matched controls in the European Prospective Investigation into Cancer and Nutrition.Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations.Long term conservation of human metabolic phenotypes and link to heritability.Fecal metabolomics: assay performance and association with colorectal cancer.1-stearoylglycerol is associated with risk of prostate cancer: results from serum metabolomic profiling.Human metabolic correlates of body mass indexSystems Epidemiology: A New Direction in Nutrition and Metabolic Disease ResearchIntraindividual variation and short-term temporal trend in DNA methylation of human bloodNavigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies.Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancerReliability of Serum Metabolites over a Two-Year Period: A Targeted Metabolomic Approach in Fasting and Non-Fasting Samples from EPIC.High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome.Metabolomic analysis of prostate cancer risk in a prospective cohort: The alpha-tocolpherol, beta-carotene cancer prevention (ATBC) studyCharacterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins.Identification of Serum Markers of Esophageal Adenocarcinoma by Global and Targeted Metabolic ProfilingMetabolomic profiling reveals novel biomarkers of alcohol intake and alcohol-induced liver injury in community-dwelling menHigher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics studyImpact of Pre-analytic Blood Sample Collection Factors on Metabolomics.Metabolomic profile of response to supplementation with β-carotene in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study.Methods to Assess Measurement Error in Questionnaires of Sedentary Behavior.Metabolomics-identified metabolites associated with body mass index and prospective weight gain among Mexican American womenSerum Metabolomic Response to Long-Term Supplementation with all-rac-α-Tocopheryl Acetate in a Randomized Controlled Trial.Plasma metabolomic profiles in association with type 2 diabetes risk and prevalence in Chinese adults.The Saliva Exposome for Monitoring of Individuals' Health Trajectories.Bioinformatics tools for the analysis of NMR metabolomics studies focused on the identification of clinically relevant biomarkers.Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.Comparing metabolite profiles of habitual diet in serum and urine.Metabolomic Profiling of Serum Retinol in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study.Candidate serum metabolite biomarkers for differentiating gastroesophageal reflux disease, Barrett's esophagus, and high-grade dysplasia/esophageal adenocarcinoma.Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential Features.Metabolomics analysis of serum 25-hydroxy-vitamin D in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study.Objectively measured physical activity and plasma metabolomics in the Shanghai Physical Activity Study
P2860
Q28079376-DE1C2CBD-ACFE-4A2A-BBA3-2C7A21621B5EQ30250086-510CEFD6-A269-4A8F-BA2D-6CB8E38C3D1DQ30277165-A9B13260-1A81-466C-AA0C-99E258C2B062Q30313863-E5D0CC85-E58D-465E-8257-3638297E81EBQ33553282-9BCD6BF6-4CAB-4487-A63A-74E4320D0F09Q33576589-B52374DE-0D80-4E99-80D5-108F87DCE677Q33722880-B04A0E6B-D8FC-4BC7-9D75-3D3A32A3839CQ33846409-C628EFE8-4771-439A-8C93-004F327A045CQ33872077-D0343620-3F05-4B1E-BF0C-27888F8A3B34Q34087177-BDB3591A-B2D1-4EA8-90AB-53A937D501FCQ34091261-6B2E5AC3-8B98-4F63-985B-F6689B12AA69Q34096850-BFA9912B-1164-4AB9-9257-C479FC5C1027Q34218543-9FE8B9CE-0E85-4B55-89EA-70EA8BB36E54Q34218551-80F7FCCF-36E6-4C95-8378-F8EE48B0C355Q34388081-94620E84-0B99-40DF-82F9-539F6B9D73EEQ35164212-B1010F5D-0DD0-4700-98C2-3539A83EDCB2Q35530423-D0C362EB-41CC-45F3-9219-38C6BB87AA13Q35537836-47F22267-9966-41D9-B406-FA2207EAC97AQ35746368-C17A57B7-88DA-4FF1-9657-457F4AE39377Q35791181-69D098F2-D42C-46C4-8FD1-02C7708B4C9AQ35957484-FC1CD2DD-FD94-4E9E-9AE8-EB1D6A06AD00Q36064059-807E2D2B-E161-4514-A90B-929767A4FC62Q36130496-9298B71C-26A0-436B-ABD7-7B288EFC0CF0Q36410645-757B6DF7-A9D0-47C1-8127-D28885D4F0A0Q36513866-94CB8456-81AA-4D27-8B26-63FE37BEC7FBQ36918149-96528885-FEF3-4B71-AF3B-C5410C52206AQ37016517-15221AA2-6765-4B37-9E07-39D01BF30337Q37025170-E09C81E2-CEBC-4D29-ABB2-C7E1B61046FFQ37299103-F2AA7591-65BB-42B4-80C2-BC6AA65CC841Q37389879-4B201584-BCCF-4409-A7F7-1FC572005DE7Q37403973-90CD3D1B-DF22-407C-B292-C1E86A0BF2F9Q38372877-FD72E017-6D6C-40DC-A81D-48F14EAAC28EQ38581263-03333615-71A0-4B88-ADB3-4249823729EDQ38801039-66A5FDBC-CD9A-4774-919D-71C07B6F9D7FQ39502852-3456FFE5-CD7F-416B-B571-F84590BB0D3DQ40054856-3B5D5F31-6947-4D5F-B5E4-EDAA7A4C3B83Q40338828-DD6652F8-6ED9-4A37-8D81-ABFE6691C494Q40460343-058F609E-BDC7-40BF-8BBD-AAFF91673782Q40622136-A5FE1F04-6C01-4400-B8AA-DA88CBE9A4AEQ40803276-A2C459BE-1F5F-443A-8BAD-4A720FD05F20
P2860
Metabolomics in epidemiology: sources of variability in metabolite measurements and implications.
description
2013 nî lūn-bûn
@nan
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
2013年论文
@zh
2013年论文
@zh-cn
name
Metabolomics in epidemiology: ...... measurements and implications.
@ast
Metabolomics in epidemiology: ...... measurements and implications.
@en
type
label
Metabolomics in epidemiology: ...... measurements and implications.
@ast
Metabolomics in epidemiology: ...... measurements and implications.
@en
prefLabel
Metabolomics in epidemiology: ...... measurements and implications.
@ast
Metabolomics in epidemiology: ...... measurements and implications.
@en
P2093
P2860
P50
P1476
Metabolomics in epidemiology: ...... measurements and implications.
@en
P2093
Amanda J Cross
Ann W Hsing
Bu-Tian Ji
Joshua N Sampson
Rashmi Sinha
Wong-Ho Chow
Xiao Ou Shu
P2860
P304
P356
10.1158/1055-9965.EPI-12-1109
P577
2013-02-08T00:00:00Z