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Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish coh...

Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish coh...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1919521124

Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish cohort

About this item

Full title

Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish cohort

Publisher

United States: Public Library of Science

Journal title

PloS one, 2017-07, Vol.12 (7), p.e0180180-e0180180

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The aim of this study was to measure the impact of genetic data in improving the prediction of type 2 diabetes (T2D) in the Malmö Diet and Cancer Study cohort. The current study was performed in 3,426 Swedish individuals and utilizes of a set of genetic and environmental risk data. We first validated our environmental risk model by comparing it to...

Alternative Titles

Full title

Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish cohort

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1919521124

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1919521124

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0180180

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