Literature DB >> 31919106

Whole-Genome Sequencing of Finnish Type 1 Diabetic Siblings Discordant for Kidney Disease Reveals DNA Variants associated with Diabetic Nephropathy.

Jing Guo1,2, Owen J L Rackham2, Niina Sandholm3,4,5, Bing He1, Anne-May Österholm1,2, Erkka Valo3,4,5, Valma Harjutsalo3,4,5,6, Carol Forsblom3,4,5, Iiro Toppila3,4,5, Maija Parkkonen3,4,5, Qibin Li7, Wenjuan Zhu7, Nathan Harmston2,8, Sonia Chothani2, Miina K Öhman2, Eudora Eng2, Yang Sun2, Enrico Petretto9,10, Per-Henrik Groop11,4,5,12, Karl Tryggvason13,2,14.   

Abstract

BACKGROUND: Several genetic susceptibility loci associated with diabetic nephropathy have been documented, but no causative variants implying novel pathogenetic mechanisms have been elucidated.
METHODS: We carried out whole-genome sequencing of a discovery cohort of Finnish siblings with type 1 diabetes who were discordant for the presence (case) or absence (control) of diabetic nephropathy. Controls had diabetes without complications for 15-37 years. We analyzed and annotated variants at genome, gene, and single-nucleotide variant levels. We then replicated the associated variants, genes, and regions in a replication cohort from the Finnish Diabetic Nephropathy study that included 3531 unrelated Finns with type 1 diabetes.
RESULTS: We observed protein-altering variants and an enrichment of variants in regions associated with the presence or absence of diabetic nephropathy. The replication cohort confirmed variants in both regulatory and protein-coding regions. We also observed that diabetic nephropathy-associated variants, when clustered at the gene level, are enriched in a core protein-interaction network representing proteins essential for podocyte function. These genes include protein kinases (protein kinase C isoforms ε and ι) and protein tyrosine kinase 2.
CONCLUSIONS: Our comprehensive analysis of a diabetic nephropathy cohort of siblings with type 1 diabetes who were discordant for kidney disease points to variants and genes that are potentially causative or protective for diabetic nephropathy. This includes variants in two isoforms of the protein kinase C family not previously linked to diabetic nephropathy, adding support to previous hypotheses that the protein kinase C family members play a role in diabetic nephropathy and might be attractive therapeutic targets.
Copyright © 2020 by the American Society of Nephrology.

Entities:  

Keywords:  association test; diabetic kidney diseases; diabetic nephropathy; discordant sibling pairs; whole genome sequencing

Mesh:

Substances:

Year:  2020        PMID: 31919106      PMCID: PMC7003303          DOI: 10.1681/ASN.2019030289

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  55 in total

Review 1.  Towards understanding the inherited susceptibility for nephropathy in diabetes.

Authors:  Merlin C Thomas; Per-Henrik Groop; Karl Tryggvason
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-03       Impact factor: 2.894

2.  Incidence of type 1 diabetes in Finland.

Authors:  Valma Harjutsalo; Reijo Sund; Mikael Knip; Per-Henrik Groop
Journal:  JAMA       Date:  2013-07-24       Impact factor: 56.272

3.  Familial clustering of diabetic kidney disease. Evidence for genetic susceptibility to diabetic nephropathy.

Authors:  E R Seaquist; F C Goetz; S Rich; J Barbosa
Journal:  N Engl J Med       Date:  1989-05-04       Impact factor: 91.245

4.  The glycation of fibronectin by glycolaldehyde and methylglyoxal as a model for aging in Bruch's membrane.

Authors:  Mai T Thao; Elizabeth R Gaillard
Journal:  Amino Acids       Date:  2016-04-15       Impact factor: 3.520

5.  Pyruvate kinase M2 activation may protect against the progression of diabetic glomerular pathology and mitochondrial dysfunction.

Authors:  Weier Qi; Hillary A Keenan; Qian Li; Atsushi Ishikado; Aimo Kannt; Thorsten Sadowski; Mark A Yorek; I-Hsien Wu; Samuel Lockhart; Lawrence J Coppey; Anja Pfenninger; Chong Wee Liew; Guifen Qiang; Alison M Burkart; Stephanie Hastings; David Pober; Christopher Cahill; Monika A Niewczas; William J Israelsen; Liane Tinsley; Isaac E Stillman; Peter S Amenta; Edward P Feener; Matthew G Vander Heiden; Robert C Stanton; George L King
Journal:  Nat Med       Date:  2017-04-24       Impact factor: 53.440

6.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

7.  A genome scan for diabetic nephropathy in African Americans.

Authors:  Donald W Bowden; Carla J Colicigno; Carl D Langefeld; Michèle M Sale; Adrienne Williams; Pamela J Anderson; Stephen S Rich; Barry I Freedman
Journal:  Kidney Int       Date:  2004-10       Impact factor: 10.612

8.  Major susceptibility locus for nephropathy in type 1 diabetes on chromosome 3q: results of novel discordant sib-pair analysis.

Authors:  D K Moczulski; J J Rogus; A Antonellis; J H Warram; A S Krolewski
Journal:  Diabetes       Date:  1998-07       Impact factor: 9.461

9.  Firth logistic regression for rare variant association tests.

Authors:  Xuefeng Wang
Journal:  Front Genet       Date:  2014-06-19       Impact factor: 4.599

10.  Ruboxistaurin for the treatment of diabetic peripheral neuropathy: a systematic review of randomized clinical trials.

Authors:  Dipika Bansal; Yogesh Badhan; Kapil Gudala; Fabrizio Schifano
Journal:  Diabetes Metab J       Date:  2013-10-17       Impact factor: 5.376

View more
  3 in total

Review 1.  Clinical Applications of Genetic Discoveries in Kidney Transplantation: a Review.

Authors:  Ethan P Marin; Elizabeth Cohen; Neera Dahl
Journal:  Kidney360       Date:  2020-03-11

Review 2.  Emerging Role of Clinical Genetics in CKD.

Authors:  Prasad Devarajan; Glenn M Chertow; Katalin Susztak; Adeera Levin; Rajiv Agarwal; Peter Stenvinkel; Arlene B Chapman; Bradley A Warady
Journal:  Kidney Med       Date:  2022-02-11

3.  Identification of novel differentially expressed genes in type 1 diabetes mellitus complications using transcriptomic profiling of UAE patients: a multicenter study.

Authors:  Bashair M Mussa; Thenmozhi Venkatachalam; Ankita Srivastava; Abeer Al-Habshi; Elamin Abdelgadir; Alaaeldin Bashier; Fatheya Al Awadi; Khadija Hafidh; Rifat Hamoudi; Salah Abusnana
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.