Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population

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Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population. / Li, Shengting; Besenbacher, Søren; Li, Yingrui; Kristiansen, Karsten; Grarup, Niels; Albrechtsen, Anders; Sparsø, Thomas Hempel; Korneliussen, Thorfinn Sand; Hansen, Torben; Wang, Jun; Nielsen, Rasmus; Pedersen, Oluf Borbye; Bolund, Lars; Schierup, Mikkel Heide.

In: European Journal of Human Genetics, Vol. 22, 2014, p. 1040-1045.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Li, S, Besenbacher, S, Li, Y, Kristiansen, K, Grarup, N, Albrechtsen, A, Sparsø, TH, Korneliussen, TS, Hansen, T, Wang, J, Nielsen, R, Pedersen, OB, Bolund, L & Schierup, MH 2014, 'Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population', European Journal of Human Genetics, vol. 22, pp. 1040-1045. https://doi.org/10.1038/ejhg.2013.282

APA

Li, S., Besenbacher, S., Li, Y., Kristiansen, K., Grarup, N., Albrechtsen, A., Sparsø, T. H., Korneliussen, T. S., Hansen, T., Wang, J., Nielsen, R., Pedersen, O. B., Bolund, L., & Schierup, M. H. (2014). Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population. European Journal of Human Genetics, 22, 1040-1045. https://doi.org/10.1038/ejhg.2013.282

Vancouver

Li S, Besenbacher S, Li Y, Kristiansen K, Grarup N, Albrechtsen A et al. Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population. European Journal of Human Genetics. 2014;22:1040-1045. https://doi.org/10.1038/ejhg.2013.282

Author

Li, Shengting ; Besenbacher, Søren ; Li, Yingrui ; Kristiansen, Karsten ; Grarup, Niels ; Albrechtsen, Anders ; Sparsø, Thomas Hempel ; Korneliussen, Thorfinn Sand ; Hansen, Torben ; Wang, Jun ; Nielsen, Rasmus ; Pedersen, Oluf Borbye ; Bolund, Lars ; Schierup, Mikkel Heide. / Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population. In: European Journal of Human Genetics. 2014 ; Vol. 22. pp. 1040-1045.

Bibtex

@article{4f964b50010641ae878c1d802db53ce1,
title = "Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population",
abstract = "In this paper, we mine full mtDNA sequences from an exome capture data set of 2000 Danes, showing that it is possible to get high-quality full-genome sequences of the mitochondrion from this resource. The sample includes 1000 individuals with type 2 diabetes and 1000 controls. We characterise the variation found in the mtDNA sequence in Danes and relate the variation to diabetes risk as well as to several blood phenotypes of the controls but find no significant associations. We report 2025 polymorphisms, of which 393 have not been reported previously. These 393 mutations are both very rare and estimated to be caused by very recent mutations but individuals with type 2 diabetes do not possess more of these variants. Population genetics analysis using Bayesian skyline plot shows a recent history of rapid population growth in the Danish population in accordance with the fact that >40% of variable sites are observed as singletons.European Journal of Human Genetics advance online publication, 22 January 2014; doi:10.1038/ejhg.2013.282.",
author = "Shengting Li and S{\o}ren Besenbacher and Yingrui Li and Karsten Kristiansen and Niels Grarup and Anders Albrechtsen and Spars{\o}, {Thomas Hempel} and Korneliussen, {Thorfinn Sand} and Torben Hansen and Jun Wang and Rasmus Nielsen and Pedersen, {Oluf Borbye} and Lars Bolund and Schierup, {Mikkel Heide}",
year = "2014",
doi = "10.1038/ejhg.2013.282",
language = "English",
volume = "22",
pages = "1040--1045",
journal = "European Journal of Human Genetics",
issn = "1018-4813",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Variation and association to diabetes in 2000 full mtDNA sequences mined from an exome study in a Danish population

AU - Li, Shengting

AU - Besenbacher, Søren

AU - Li, Yingrui

AU - Kristiansen, Karsten

AU - Grarup, Niels

AU - Albrechtsen, Anders

AU - Sparsø, Thomas Hempel

AU - Korneliussen, Thorfinn Sand

AU - Hansen, Torben

AU - Wang, Jun

AU - Nielsen, Rasmus

AU - Pedersen, Oluf Borbye

AU - Bolund, Lars

AU - Schierup, Mikkel Heide

PY - 2014

Y1 - 2014

N2 - In this paper, we mine full mtDNA sequences from an exome capture data set of 2000 Danes, showing that it is possible to get high-quality full-genome sequences of the mitochondrion from this resource. The sample includes 1000 individuals with type 2 diabetes and 1000 controls. We characterise the variation found in the mtDNA sequence in Danes and relate the variation to diabetes risk as well as to several blood phenotypes of the controls but find no significant associations. We report 2025 polymorphisms, of which 393 have not been reported previously. These 393 mutations are both very rare and estimated to be caused by very recent mutations but individuals with type 2 diabetes do not possess more of these variants. Population genetics analysis using Bayesian skyline plot shows a recent history of rapid population growth in the Danish population in accordance with the fact that >40% of variable sites are observed as singletons.European Journal of Human Genetics advance online publication, 22 January 2014; doi:10.1038/ejhg.2013.282.

AB - In this paper, we mine full mtDNA sequences from an exome capture data set of 2000 Danes, showing that it is possible to get high-quality full-genome sequences of the mitochondrion from this resource. The sample includes 1000 individuals with type 2 diabetes and 1000 controls. We characterise the variation found in the mtDNA sequence in Danes and relate the variation to diabetes risk as well as to several blood phenotypes of the controls but find no significant associations. We report 2025 polymorphisms, of which 393 have not been reported previously. These 393 mutations are both very rare and estimated to be caused by very recent mutations but individuals with type 2 diabetes do not possess more of these variants. Population genetics analysis using Bayesian skyline plot shows a recent history of rapid population growth in the Danish population in accordance with the fact that >40% of variable sites are observed as singletons.European Journal of Human Genetics advance online publication, 22 January 2014; doi:10.1038/ejhg.2013.282.

U2 - 10.1038/ejhg.2013.282

DO - 10.1038/ejhg.2013.282

M3 - Journal article

C2 - 24448545

VL - 22

SP - 1040

EP - 1045

JO - European Journal of Human Genetics

JF - European Journal of Human Genetics

SN - 1018-4813

ER -

ID: 101926525