Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
about
Fast association tests for genes with FASTGenetic studies of body mass index yield new insights for obesity biologyNew susceptibility loci in MYL2, C12orf51 and OAS1 associated with 1-h plasma glucose as predisposing risk factors for type 2 diabetes in the Korean populationGenetics of Insulin Resistance and the Metabolic SyndromeRecent progress in genetic and epigenetic research on type 2 diabetesProgress and promise in understanding the genetic basis of common diseasesInsights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Obesity-Related TraitsNew insights from monogenic diabetes for "common" type 2 diabetesGenetics of Type 2 Diabetes in African AmericansGenetic screening for the risk of type 2 diabetes: worthless or valuable?Regulation of insulin and type 1 insulin-like growth factor signaling and action by the Grb10/14 and SH2B1/B2 adaptor proteinsMendelian randomization studies do not support a causal role for reduced circulating adiponectin levels in insulin resistance and type 2 diabetesLipins, lipinopathies, and the modulation of cellular lipid storage and signalingThe complex interplay of genetic and lifestyle risk factors in type 2 diabetes: an overviewActivators of G protein signaling exhibit broad functionality and define a distinct core signaling triadMendelian Randomization and Type 2 DiabetesInsulin-like growth factor-1 deficiency and metabolic syndromeA comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery diseaseLarge-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetesExpression of phosphofructokinase in skeletal muscle is influenced by genetic variation and associated with insulin sensitivityThe study to understand the genetics of the acute response to metformin and glipizide in humans (SUGAR-MGH): design of a pharmacogenetic resource for type 2 diabetesDiscovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density ImputationTrans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.Directional dominance on stature and cognition in diverse human populationsPleiotropy analysis of quantitative traits at gene level by multivariate functional linear modelsAssociations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization StudyLow-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibilityQuality control and conduct of genome-wide association meta-analysesAssociation of levels of fasting glucose and insulin with rare variants at the chromosome 11p11.2-MADD locus: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing StudyPopulation genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) ConsortiumGenome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibilityGenome-wide association study identifies three novel loci for type 2 diabetes.Gene-Diet Interaction and Precision Nutrition in ObesityThe Genetic Landscape of Renal Complications in Type 1 Diabetes.Genome-Wide Interaction with Insulin Secretion Loci Reveals Novel Loci for Type 2 Diabetes in African Americans.Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity.Bridging the gap between genetic associations and molecular mechanisms for type 2 diabetes.Future translational applications from the contemporary genomics era: a scientific statement from the American Heart AssociationThe architecture of risk for type 2 diabetes: understanding Asia in the context of global findings.Parent-of-origin effects on glucose homeostasis in polycystic ovary syndrome.
P2860
Q21132696-71A7289F-59E3-4821-9083-D264E9A895D7Q22305005-BF04223B-A8BF-4D1B-AC8D-8FE960ABA5DDQ24338244-221E82DE-A31A-4104-B033-4754E054CDD1Q26745624-D9A8DE1F-A6C3-4B2F-B4DB-C57B71CEF442Q26766482-E1055BBE-6355-47EA-8393-0671E556ABFFQ26772104-5AF8E6DF-FCBE-4FEC-BADC-76CACD3F18F5Q26781353-43E4532E-1E0D-4405-839D-9F9949A61799Q26795455-5E703B99-484D-4E05-9625-CC316DD4F0E5Q26796953-6232B0F0-C738-4AE1-85A5-AFE93503B069Q26829897-5F5011BC-85EF-4C84-A7AE-57488ABD42CDQ26849720-57D7AC83-A2BA-4131-91E6-22DDE9CD9A24Q26861535-40838BE1-8EFC-4891-95D3-C4031A1D7896Q26865945-D8DE1BDC-2D4D-4DDD-A36F-C348E13A4333Q26997813-244C51AA-BA16-446B-9644-FB8D51540ABDQ26999408-DC84D260-0373-4CFE-872A-1ABC1D1E050AQ28072229-B3F9287F-54E3-4E77-87B7-98B9F47485D8Q28072410-0731B0DF-FE36-48BA-9072-443CBC110AE1Q28267020-2910DD63-6F41-4F62-9367-5E3D7660AC69Q28272915-41B6CADD-8198-4E99-8BB6-1B454C784CDCQ28303350-0D98BE73-0174-4892-8745-625E4B322B9CQ28545045-33C48843-A2D7-4641-9275-03DCA562364DQ28546045-2DDE0676-6FD6-41BF-A1A6-B94D2EA66F6BQ28596552-54C94388-0865-4773-9DF6-A43B54FA32B3Q28646221-9885E8C6-5804-4A97-8D60-A9C52C625FD6Q28647065-5B17741F-0509-408C-A6C3-74D08D06AC9EQ28648344-B6F70E6D-1DE8-4979-BB62-2C723291F053Q28651068-5FCB42BA-5ADC-458A-B583-836FC9DBE7B3Q28656219-CC1C3BDC-5046-4F13-B836-D91F0FFFE8B6Q28657819-72EFD5E9-03A4-4FB3-80F4-F7CEA09F3325Q28681745-C6C1A6F9-44C0-45B2-9293-E96E332C1C0BQ29417007-309C8E27-0C8B-4F48-841E-C966844CDB64Q29417014-886843D9-A454-475B-B617-DB597EE5D2B9Q30234907-2A956BA3-24C7-40F4-9084-1E45957A0ED5Q30275890-F64F0FBF-6B18-4DBF-91AE-98DC829C67F5Q30276301-2CB706CE-2C23-4078-9F91-7316731E0CDBQ30276785-9CE23BCB-BE46-4F96-8A0E-B75C3F051598Q30354544-543E5CD7-C1CC-47C3-9B2F-5FB5960D7FE7Q30359686-B516CCDE-0DCD-4F78-AE1B-A2A63D74E009Q30361503-D9CEB7AF-CA34-48F9-945B-5E36917D07BAQ30371644-7DD4D201-60BA-4898-9EDD-1617152BED76
P2860
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Large-scale association analys ...... nderlying biological pathways.
@ast
Large-scale association analys ...... nderlying biological pathways.
@en
type
label
Large-scale association analys ...... nderlying biological pathways.
@ast
Large-scale association analys ...... nderlying biological pathways.
@en
prefLabel
Large-scale association analys ...... nderlying biological pathways.
@ast
Large-scale association analys ...... nderlying biological pathways.
@en
P2093
P2860
P50
P356
P1433
P1476
Large-scale association analys ...... nderlying biological pathways.
@en
P2093
Aaron Isaacs
Alan F Wright
Alan L James
Alex S F Doney
Andrew D Morris
Andrew P Morris
Anke Toenjes
Ben A Oostra
Bernhard O Boehm
P2860
P2888
P304
P356
10.1038/NG.2385
P407
P50
P577
2012-08-12T00:00:00Z