Genetic strategies to understand human diabetic nephropathy: in silico strategies for molecular data - association studies

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

Multiple genetic strategies are available to help improve understanding of diabetic nephropathy. This methods chapter provides detailed methodology for a single nucleotide polymorphism association study and meta-analysis, using a protocol suitable for targeted SNP or genome-wide association studies, to identify genetic risk factors for diabetic nephropathy.
Original languageEnglish
Title of host publicationMethods in Molecular Biology
Subtitle of host publicationMolecular Methods in Diabetic Nephropathy
PublisherSpringer Nature
Pages241-275
Volume2067
DOIs
Publication statusPublished - 01 Jan 2020

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Diabetic Nephropathies
Computer Simulation
Single Nucleotide Polymorphism
Genome-Wide Association Study
Meta-Analysis

Cite this

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title = "Genetic strategies to understand human diabetic nephropathy: in silico strategies for molecular data - association studies",
abstract = "Multiple genetic strategies are available to help improve understanding of diabetic nephropathy. This methods chapter provides detailed methodology for a single nucleotide polymorphism association study and meta-analysis, using a protocol suitable for targeted SNP or genome-wide association studies, to identify genetic risk factors for diabetic nephropathy.",
author = "Marisa Ca{\~n}adas-Garre and Laura Smyth and Kerry Anderson and Katie Kerr and Amy McKnight",
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Genetic strategies to understand human diabetic nephropathy: in silico strategies for molecular data - association studies. / Cañadas-Garre, Marisa; Smyth, Laura; Anderson, Kerry; Kerr, Katie; McKnight, Amy.

Methods in Molecular Biology: Molecular Methods in Diabetic Nephropathy. Vol. 2067 Springer Nature, 2020. p. 241-275.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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