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Predicting diabetic nephropathy using a multifactorial genetic model

Predicting diabetic nephropathy using a multifactorial genetic model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1312186626

Predicting diabetic nephropathy using a multifactorial genetic model

About this item

Full title

Predicting diabetic nephropathy using a multifactorial genetic model

Publisher

United States: Public Library of Science

Journal title

PloS one, 2011-04, Vol.6 (4), p.e18743-e18743

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The tendency to develop diabetic nephropathy is, in part, genetically determined, however this genetic risk is largely undefined. In this proof-of-concept study, we tested the hypothesis that combined analysis of multiple genetic variants can improve prediction.
Based on previous reports, we selected 27 SNPs in 15 genes from metabolic pathways i...

Alternative Titles

Full title

Predicting diabetic nephropathy using a multifactorial genetic model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1312186626

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1312186626

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0018743

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