Literature DB >> 35133398

Systematic Heritability and Heritability Enrichment Analysis for Diabetes Complications in UK Biobank and ACCORD Studies.

Juhyun Kim1,2, Aubrey Jensen1, Seyoon Ko1, Sridharan Raghavan3,4, Lawrence S Phillips5,6, Adriana Hung7, Yan Sun8, Hua Zhou1, Peter Reaven9, Jin J Zhou1,9,10,11.   

Abstract

Diabetes-related complications reflect longstanding damage to small and large vessels throughout the body. In addition to the duration of diabetes and poor glycemic control, genetic factors are important contributors to the variability in the development of vascular complications. Early heritability studies found strong familial clustering of both macrovascular and microvascular complications. However, they were limited by small sample sizes and large phenotypic heterogeneity, leading to less accurate estimates. We take advantage of two independent studies-UK Biobank and the Action to Control Cardiovascular Risk in Diabetes trial-to survey the single nucleotide polymorphism heritability for diabetes microvascular (diabetic kidney disease and diabetic retinopathy) and macrovascular (cardiovascular events) complications. Heritability for diabetic kidney disease was estimated at 29%. The heritability estimate for microalbuminuria ranged from 24 to 60% and was 41% for macroalbuminuria. Heritability estimates of diabetic retinopathy ranged from 6 to 33%, depending on the phenotype definition. More severe diabetes retinopathy possessed higher genetic contributions. We show, for the first time, that rare variants account for much of the heritability of diabetic retinopathy. This study suggests that a large portion of the genetic risk of diabetes complications is yet to be discovered and emphasizes the need for additional genetic studies of diabetes complications.
© 2022 by the American Diabetes Association.

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Year:  2022        PMID: 35133398      PMCID: PMC9044130          DOI: 10.2337/db21-0839

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.337


  54 in total

1.  GCTA: a tool for genome-wide complex trait analysis.

Authors:  Jian Yang; S Hong Lee; Michael E Goddard; Peter M Visscher
Journal:  Am J Hum Genet       Date:  2010-12-17       Impact factor: 11.025

2.  Familial factors determine the development of diabetic nephropathy in patients with IDDM.

Authors:  M Quinn; M C Angelico; J H Warram; A S Krolewski
Journal:  Diabetologia       Date:  1996-08       Impact factor: 10.122

3.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

4.  Genome-wide linkage analyses to identify Loci for diabetic retinopathy.

Authors:  Helen C Looker; Robert G Nelson; Emily Chew; Ronald Klein; Barbara E K Klein; William C Knowler; Robert L Hanson
Journal:  Diabetes       Date:  2007-04       Impact factor: 9.461

5.  Is diabetic nephropathy an inherited complication?

Authors:  K Borch-Johnsen; K Nørgaard; E Hommel; E R Mathiesen; J S Jensen; T Deckert; H H Parving
Journal:  Kidney Int       Date:  1992-04       Impact factor: 10.612

Review 6.  Cutaneous manifestations of ESRD.

Authors:  Timur A Galperin; Antonia J Cronin; Kieron S Leslie
Journal:  Clin J Am Soc Nephrol       Date:  2013-10-10       Impact factor: 8.237

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

Authors:  Jeffrey C Barrett; David G Clayton; Patrick Concannon; Beena Akolkar; Jason D Cooper; Henry A Erlich; Cécile Julier; Grant Morahan; Jørn Nerup; Concepcion Nierras; Vincent Plagnol; Flemming Pociot; Helen Schuilenburg; Deborah J Smyth; Helen Stevens; John A Todd; Neil M Walker; Stephen S Rich
Journal:  Nat Genet       Date:  2009-05-10       Impact factor: 38.330

8.  Heritability of proliferative diabetic retinopathy.

Authors:  Kustaa Hietala; Carol Forsblom; Paula Summanen; Per-Henrik Groop
Journal:  Diabetes       Date:  2008-04-28       Impact factor: 9.461

9.  Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.

Authors:  Jian Yang; Andrew Bakshi; Zhihong Zhu; Gibran Hemani; Anna A E Vinkhuyzen; Sang Hong Lee; Matthew R Robinson; John R B Perry; Ilja M Nolte; Jana V van Vliet-Ostaptchouk; Harold Snieder; Tonu Esko; Lili Milani; Reedik Mägi; Andres Metspalu; Anders Hamsten; Patrik K E Magnusson; Nancy L Pedersen; Erik Ingelsson; Nicole Soranzo; Matthew C Keller; Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2015-08-31       Impact factor: 38.330

10.  Partitioning heritability by functional annotation using genome-wide association summary statistics.

Authors:  Hilary K Finucane; Brendan Bulik-Sullivan; Alexander Gusev; Gosia Trynka; Yakir Reshef; Po-Ru Loh; Verneri Anttila; Han Xu; Chongzhi Zang; Kyle Farh; Stephan Ripke; Felix R Day; Shaun Purcell; Eli Stahl; Sara Lindstrom; John R B Perry; Yukinori Okada; Soumya Raychaudhuri; Mark J Daly; Nick Patterson; Benjamin M Neale; Alkes L Price
Journal:  Nat Genet       Date:  2015-09-28       Impact factor: 38.330

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  1 in total

Review 1.  Learning by reading: A review of recent diabetes articles.

Authors:  Zachary Bloomgarden
Journal:  J Diabetes       Date:  2022-05-23       Impact factor: 4.530

  1 in total

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