The Genetic Landscape of Renal Complications in Type 1 Diabetes. - Wikidata - thesis-toulmin - TriplyDB

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

http://www.wikidata.org/entity/Q30275890

about

Physical Interactions and Expression Quantitative Traits Loci Identify Regulatory Connections for Obesity and Type 2 Diabetes Associated SNPs.Epigenetics in diabetic nephropathy, immunity and metabolism.Genome-wide association studies of albuminuria: towards genetic stratification in diabetes?Lessons from CKD-Related Genetic Association Studies-Moving Forward.Precision medicine in diabetes prevention, classification and management.A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.Mitochondrial Dynamics in Type 2 Diabetes and Cancer.Genetics of Diabetic Kidney Disease-From the Worst of Nightmares to the Light of Dawn?An Exome-wide Association Study for Type 2 Diabetes–Attributed End-Stage Kidney Disease in African Americans.Confirmation of GLRA3 as a susceptibility locus for albuminuria in Finnish patients with type 1 diabetes Progress in Defining the Genetic Basis of Diabetic Complications

P2860

Q42963052-473DA4AF-C06B-4E79-95A7-D136FD711FBF Q47412518-6DFFB75C-F153-42B3-A441-22B9AE11C1A7 Q47944978-FDDA6042-7E52-4514-A915-88F778DBEA9A Q49836976-C38EDCAD-B482-4DAA-B57C-ED543ADADB63 Q52677048-FE791A11-41D0-4173-8163-10B905C2FA26 Q52804042-2C09ED11-DE7E-4E89-890D-BD9125EE141D Q55007433-BD46FE62-592D-4CA2-B937-BFCC082317E6 Q55091653-7E602B99-C57E-415B-9C69-0F848A52F6DC Q55483361-E680874F-CC28-44D0-9C23-41C9C596D817 Q57606405-32A85C15-4AB3-47A9-B1F2-F95D8D1BCD66 Q57606412-E32F1A86-8109-4C37-AA5E-2EFCD62B916E

P2860

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

http://www.wikidata.org/entity/Q30275890

description

2016 nî lūn-bûn

@nan

2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

name

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@ast

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@en

type

label

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@ast

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@en

prefLabel

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@ast

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@en

P1433

Q30275890-AB7C8E2A-CEF4-494D-AA76-53473F112C7A

P1476

Q30275890-4AC94475-ED5D-4D49-BF17-DFE915A7D45A

P2093

Q30275890-08D7F34C-C68D-4941-9026-CAE3B4C77CFF

Q30275890-0FEE4680-E71A-4DCB-A267-0ECC41A49E7F

Q30275890-174C2D9F-A86D-40BC-A4B7-385BF446C726

Q30275890-2260A23C-C57F-4E75-850C-5CB6309EE4E0

Q30275890-26DA0E69-B7D8-4DB9-87E3-7116D647694C

Q30275890-271F1CAF-B152-448C-B944-339188CA6C20

Q30275890-3BB17FCE-E17A-479E-867D-2065432F8702

Q30275890-44E42805-430E-4FA3-A89C-6D3AD73BB150

Q30275890-450509D5-9FC6-480A-94F9-D68375DDE26C

Q30275890-46D1A7D8-0EBB-450E-AD0B-AD3437A31314

P2860

Q30275890-0027E427-2FF2-499F-97EB-DDDEAFB2AD3C

Q30275890-069365CA-50FE-40DB-A0A3-07868E9DD294

Q30275890-0A2A538A-9F05-4867-8EFF-C8FD4BE18117

Q30275890-0ADCFCE4-F0EC-426A-9A51-26C45D6571CB

Q30275890-0C064C88-1F9D-4777-83C5-A50F9D7794C7

Q30275890-0DC3E07C-0037-4906-A33D-DEFA1C7E4CCD

Q30275890-103F588D-2439-4EEA-A195-C2EC3B13E825

Q30275890-131077E7-76F7-4D51-ABD9-185EB6FE43B1

Q30275890-182B30E4-6E83-44A8-9681-8C00F50B0B21

Q30275890-1CB3A714-ADC4-4C0F-88F5-033A4E40CAC0

P304

Q30275890-BDCD2149-61D9-4510-9901-DA451E054733

P31

Q30275890-1D91C98A-73C8-438F-A6BA-8755385467F4

P356

Q30275890-4DDC0A9F-BB98-45FD-8A87-0CF798871FE9

P433

Q30275890-B5BBC36F-B235-47E5-93EE-31A0E2E75089

P478

Q30275890-A2957C02-3691-47E5-B21E-29425740D62C

P50

Q30275890-1FD3A35C-842B-4221-B275-F263B6455C01

Q30275890-20134621-EBCB-499E-A714-61EE095851DD

Q30275890-2BA2290A-8207-4F0B-9536-B0587C91B949

Q30275890-2D2B110C-451C-46A9-ADE7-BC1EDFBB7CAD

Q30275890-4495FDF1-1209-452E-85F3-157EA6D8D572

Q30275890-4762A597-8F89-4307-8C91-94CABD6EE7A3

Q30275890-4AA61A27-1809-4773-8265-E2A1500270A1

Q30275890-55409F4F-7605-40E4-9D11-007C92631884

Q30275890-7CCCFC6B-EAAB-4DF0-9B07-CCDF9EAB7408

Q30275890-924000D0-92C8-4527-BC3D-B221A07900FC

P577

Q30275890-FF178DD0-4D82-4882-8B25-6D78F00766A7

P698

Q30275890-6F380D8A-A4A9-473A-A5D2-BD5A97471DD1

P921

Q30275890-AAF603CA-F093-4012-B566-5E1442306705

P932

Q30275890-A559C721-E62A-44DE-819F-F9CF06B91337

P356

P1433

Journal of the American Society of Nephrology

P1476

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

@en

P2093

Alberto Malovini

http://www.w3.org/2001/XMLSchema#string

Amy Jayne McKnight

http://www.w3.org/2001/XMLSchema#string

Andrzej Krolewski

http://www.w3.org/2001/XMLSchema#string

Barbara Di Camillo

http://www.w3.org/2001/XMLSchema#string

Claes Ladenvall

http://www.w3.org/2001/XMLSchema#string

DCCT/EDIC Study Group, Jose C. Florez

http://www.w3.org/2001/XMLSchema#string

Daniel Ziemek

http://www.w3.org/2001/XMLSchema#string

David Trégouët

http://www.w3.org/2001/XMLSchema#string

Emma Ahlqvist

http://www.w3.org/2001/XMLSchema#string

Eric Fauman

http://www.w3.org/2001/XMLSchema#string

P2860

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies

Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits

An integrated map of genetic variation from 1,092 human genomes

Genetic studies of body mass index yield new insights for obesity biology

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Biological insights from 108 schizophrenia-associated genetic loci

Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

New loci associated with kidney function and chronic kidney disease

Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

P304

557-574

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1681/ASN.2016020231

http://www.w3.org/2001/XMLSchema#string

P433

2

http://www.w3.org/2001/XMLSchema#string

P478

28

http://www.w3.org/2001/XMLSchema#string

P50

Valeriya Lyssenko

Andrew D. Paterson

Thorhildur Juliusdottir

Claudio Cobelli

P577

2016-09-19T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27647854

http://www.w3.org/2001/XMLSchema#string

P921

type-1 diabetes

P932

5280020

http://www.w3.org/2001/XMLSchema#string