A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes.

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes. / Hornbak, Malene; Allin, Kristine Højgaard; Jensen, Majken Linnemann; Lau, Cathrine J; Witte, Daniel R; Jørgensen, Marit Eika; Sandbæk, Annelli; Lauritzen, Torsten; Andersson, Åsa; Pedersen, Oluf Borbye; Hansen, Torben.

In: PloS One, Vol. 9, No. 8, e104837, 2014.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hornbak, M, Allin, KH, Jensen, ML, Lau, CJ, Witte, DR, Jørgensen, ME, Sandbæk, A, Lauritzen, T, Andersson, Å, Pedersen, OB & Hansen, T 2014, 'A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes.', PloS One, vol. 9, no. 8, e104837. https://doi.org/10.1371/journal.pone.0104837

APA

Hornbak, M., Allin, K. H., Jensen, M. L., Lau, C. J., Witte, D. R., Jørgensen, M. E., Sandbæk, A., Lauritzen, T., Andersson, Å., Pedersen, O. B., & Hansen, T. (2014). A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes. PloS One, 9(8), [e104837]. https://doi.org/10.1371/journal.pone.0104837

Vancouver

Hornbak M, Allin KH, Jensen ML, Lau CJ, Witte DR, Jørgensen ME et al. A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes. PloS One. 2014;9(8). e104837. https://doi.org/10.1371/journal.pone.0104837

Author

Hornbak, Malene ; Allin, Kristine Højgaard ; Jensen, Majken Linnemann ; Lau, Cathrine J ; Witte, Daniel R ; Jørgensen, Marit Eika ; Sandbæk, Annelli ; Lauritzen, Torsten ; Andersson, Åsa ; Pedersen, Oluf Borbye ; Hansen, Torben. / A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes. In: PloS One. 2014 ; Vol. 9, No. 8.

Bibtex

@article{1048e97fc66d48e3939505cd5710ec77,
title = "A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes.",
author = "Malene Hornbak and Allin, {Kristine H{\o}jgaard} and Jensen, {Majken Linnemann} and Lau, {Cathrine J} and Witte, {Daniel R} and J{\o}rgensen, {Marit Eika} and Annelli Sandb{\ae}k and Torsten Lauritzen and {\AA}sa Andersson and Pedersen, {Oluf Borbye} and Torben Hansen",
year = "2014",
doi = "10.1371/journal.pone.0104837",
language = "English",
volume = "9",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

RIS

TY - JOUR

T1 - A combined analysis of 48 type 2 diabetes genetic risk variants shows no discriminative value to predict time to first prescription of a glucose lowering drug in Danish patients with screen detected type 2 diabetes.

AU - Hornbak, Malene

AU - Allin, Kristine Højgaard

AU - Jensen, Majken Linnemann

AU - Lau, Cathrine J

AU - Witte, Daniel R

AU - Jørgensen, Marit Eika

AU - Sandbæk, Annelli

AU - Lauritzen, Torsten

AU - Andersson, Åsa

AU - Pedersen, Oluf Borbye

AU - Hansen, Torben

PY - 2014

Y1 - 2014

U2 - 10.1371/journal.pone.0104837

DO - 10.1371/journal.pone.0104837

M3 - Journal article

C2 - 25157406

VL - 9

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 8

M1 - e104837

ER -

ID: 120780488