Literature DB >> 27633863

Diving into the abyss of undiscovered kidney function-related factors.

Sophie Limou1, Afshin Parsa2.   

Abstract

Meta-analyses and reintroduction of biological knowledge are 2 classic strategies to increase genomewide association study statistical power and overcome the burden of multiple testing. These strategies have empowered the nephrology community to discover new signals associated with kidney function and nephropathies. Here we discuss the current genomewide association study limitations and strategies to dive further into the abyss of yet-to-be discovered kidney function-related factors.
Copyright © 2016 International Society of Nephrology. All rights reserved.

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Year:  2016        PMID: 27633863     DOI: 10.1016/j.kint.2016.05.034

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  2 in total

Review 1.  Genetics of kidney disease in 2016: Ingenious tactics to unravel complex kidney disease genetics.

Authors:  Kirsten Y Renkema; Nine V A M Knoers
Journal:  Nat Rev Nephrol       Date:  2017-01-19       Impact factor: 28.314

Review 2.  Lessons from CKD-Related Genetic Association Studies-Moving Forward.

Authors:  Sophie Limou; Nicolas Vince; Afshin Parsa
Journal:  Clin J Am Soc Nephrol       Date:  2017-12-14       Impact factor: 8.237

  2 in total

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