Mapping genes for NIDDM. Design of the Finland-United States Investigation of NIDDM Genetics (FUSION) Study.
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A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variantsVariations in the G6PC2/ABCB11 genomic region are associated with fasting glucose levels.Genomic data and disease forecasting: application to type 2 diabetes (T2D).A tobit variance-component method for linkage analysis of censored trait data.High-throughput screening for evidence of association by using mass spectrometry genotyping on DNA pools.Inference on haplotype effects in case-control studies using unphased genotype data.Joint analysis of individual participants' data from 17 studies on the association of the IL6 variant -174G>C with circulating glucose levels, interleukin-6 levels, and body mass index.Ancestry estimation and control of population stratification for sequence-based association studies.Differential expression analysis for RNAseq using Poisson mixed models.Fine mapping of autistic disorder to chromosome 15q11-q13 by use of phenotypic subtypes.Increasing the power and efficiency of disease-marker case-control association studies through use of allele-sharing informationSubsets of Finns with high HDL to total cholesterol ratio show evidence for linkage to type 2 diabetes on chromosome 6q.Variation in the resistin gene is associated with obesity and insulin-related phenotypes in Finnish subjects.Genetics of gestational diabetes mellitus and type 2 diabetes.The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes.The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci.Improved inference of relationship for pairs of individualsSystematic comparison of three genomic enrichment methods for massively parallel DNA sequencing.Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretionLinkage disequilibrium between microsatellite markers extends beyond 1 cM on chromosome 20 in Finns.Estimating hepatic glucokinase activity using a simple model of lactate kinetics.So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests.Comprehensive association study of type 2 diabetes and related quantitative traits with 222 candidate genes.Simple methods for assessing haplotype-environment interactions in case-only and case-control studiesThe genetic regulatory signature of type 2 diabetes in human skeletal muscle.A powerful and flexible multilocus association test for quantitative traits.Type 2 diabetes: evidence for linkage on chromosome 20 in 716 Finnish affected sib pairs.Haplotype associations with quantitative traits in the presence of complex multilocus and heterogeneous effects.A joint association test for multiple SNPs in genetic case-control studiesA large sample of finnish diabetic sib-pairs reveals no evidence for a non-insulin-dependent diabetes mellitus susceptibility locus at 2qter.Re-sequencing expands our understanding of the phenotypic impact of variants at GWAS loci.Modeling the oral glucose tolerance test in normal and impaired glucose tolerant states: a population approach.A new structural approach to genomic discovery of disease: example of adult-onset diabetes.Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants.A principal components-based clustering method to identify variants associated with complex traits.Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals.Statistical analysis for haplotype-based matched case-control studies.Population approaches to estimate minimal model indexes of insulin sensitivity and glucose effectiveness using full and reduced sampling schedules.BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues.
P2860
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P2860
Mapping genes for NIDDM. Design of the Finland-United States Investigation of NIDDM Genetics (FUSION) Study.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh-hant
name
Mapping genes for NIDDM. Desig ...... NIDDM Genetics (FUSION) Study.
@en
Mapping genes for NIDDM. Desig ...... nvestigation of NIDDM Genetics
@nl
type
label
Mapping genes for NIDDM. Desig ...... NIDDM Genetics (FUSION) Study.
@en
Mapping genes for NIDDM. Desig ...... nvestigation of NIDDM Genetics
@nl
prefLabel
Mapping genes for NIDDM. Desig ...... NIDDM Genetics (FUSION) Study.
@en
Mapping genes for NIDDM. Desig ...... nvestigation of NIDDM Genetics
@nl
P2093
P356
P1433
P1476
Mapping genes for NIDDM. Desig ...... NIDDM Genetics (FUSION) Study.
@en
P2093
Bergman RN
Blaschak J
Buchanan TA
Eriksson J
Hagopian WA
P304
P356
10.2337/DIACARE.21.6.949
P407
P577
1998-06-01T00:00:00Z