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

Marisa Cañadas-Garre; Laura Smyth; Kerry Anderson; Katie Kerr; Amy McKnight

doi:10.1007/978-1-4939-9841-8_16

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

Marisa Cañadas-Garre, Laura Smyth, Kerry Anderson, Katie Kerr, Amy McKnight

School of Medicine, Dentistry and Biomedical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter (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 language	English
Title of host publication	Methods in Molecular Biology
Subtitle of host publication	Molecular Methods in Diabetic Nephropathy
Publisher	Springer Nature
Pages	241-275
Volume	2067
DOIs	https://doi.org/10.1007/978-1-4939-9841-8_16
Publication status	Published - 01 Jan 2020

Fingerprint

Cite this

Cañadas-Garre, M., Smyth, L., Anderson, K., Kerr, K., & McKnight, A. (2020). Genetic strategies to understand human diabetic nephropathy: in silico strategies for molecular data - association studies. In Methods in Molecular Biology: Molecular Methods in Diabetic Nephropathy (Vol. 2067, pp. 241-275). Springer Nature. https://doi.org/10.1007/978-1-4939-9841-8_16

@inbook{0ccbdcfb90e141e58f701da136b76eeb,

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",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-1-4939-9841-8_16",

language = "English",

volume = "2067",

pages = "241--275",

booktitle = "Methods in Molecular Biology",

publisher = "Springer Nature",

address = "United States",

}

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 proceeding › Chapter (peer-reviewed)

TY - CHAP

T1 - Genetic strategies to understand human diabetic nephropathy: in silico strategies for molecular data - association studies

AU - Cañadas-Garre, Marisa

AU - Smyth, Laura

AU - Anderson, Kerry

AU - Kerr, Katie

AU - McKnight, Amy

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

U2 - 10.1007/978-1-4939-9841-8_16

DO - 10.1007/978-1-4939-9841-8_16

M3 - Chapter (peer-reviewed)

VL - 2067

SP - 241

EP - 275

BT - Methods in Molecular Biology

PB - Springer Nature

ER -

Access to Document

10.1007/978-1-4939-9841-8_16Licence: Unspecified

Projects

Discovery of an integrated risk profile for chronic kidney disease and development of a clinical biomarker panel for personalising medicine (Stratified medicine for chronic kidney disease)

Project: Research

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

Abstract

Fingerprint

Cite this

Access to Document

Related content

Projects

Discovery of an integrated risk profile for chronic kidney disease and development of a clinical biomarker panel for personalising medicine (Stratified medicine for chronic kidney disease)