Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

Lina Cai; Eleanor Wheeler; Nicola D. Kerrison; Jian’an Luan; Panos Deloukas; Paul W. Franks; Pilar Amiano; Eva Ardanaz; Catalina Bonet; Guy Fagherazzi; Leif C. Groop; Rudolf Kaaks; José María Huerta; Giovanna Masala; Peter M. Nilsson; Kim Overvad; Valeria Pala; Salvatore Panico; Miguel Rodriguez-Barranco; Olov Rolandsson; Carlotta Sacerdote; Matthias B. Schulze; Annemieke M.W. Spijkerman; Anne Tjonneland; Rosario Tumino; Yvonne T. van der Schouw; Stephen J. Sharp; Nita G. Forouhi; Elio Riboli; Mark I. McCarthy; Inês Barroso; Claudia Langenberg; Nicholas J. Wareham

doi:10.1038/s41597-020-00716-7

Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

Lina Cai, Eleanor Wheeler, Nicola D. Kerrison, Jian’an Luan, Panos Deloukas, Paul W. Franks, Pilar Amiano, Eva Ardanaz, Catalina Bonet, Guy Fagherazzi, Leif C. Groop, Rudolf Kaaks, José María Huerta, Giovanna Masala, Peter M. Nilsson, Kim Overvad, Valeria Pala, Salvatore Panico, Miguel Rodriguez-Barranco, Olov RolandssonCarlotta Sacerdote, Matthias B. Schulze, Annemieke M.W. Spijkerman, Anne Tjonneland, Rosario Tumino, Yvonne T. van der Schouw, Stephen J. Sharp, Nita G. Forouhi, Elio Riboli, Mark I. McCarthy, Inês Barroso, Claudia Langenberg, Nicholas J. Wareham

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

Abstract

Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.

Lingua originale	Inglese
Numero di articolo	393
Rivista	Scientific data
Volume	7
Numero di pubblicazione	1
DOI	https://doi.org/10.1038/s41597-020-00716-7
Stato di pubblicazione	Pubblicato - dic 2020
Pubblicato esternamente	Sì

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Cai, L., Wheeler, E., Kerrison, N. D., Luan, J., Deloukas, P., Franks, P. W., Amiano, P., Ardanaz, E., Bonet, C., Fagherazzi, G., Groop, L. C., Kaaks, R., Huerta, J. M., Masala, G., Nilsson, P. M., Overvad, K., Pala, V., Panico, S., Rodriguez-Barranco, M., ... Wareham, N. J. (2020). Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study. Scientific data, 7(1), Articolo 393. https://doi.org/10.1038/s41597-020-00716-7

@article{87eb4640020941aaad60f612e027caed,

title = "Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study",

abstract = "Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.",

author = "Lina Cai and Eleanor Wheeler and Kerrison, \{Nicola D.\} and Jian{\textquoteright}an Luan and Panos Deloukas and Franks, \{Paul W.\} and Pilar Amiano and Eva Ardanaz and Catalina Bonet and Guy Fagherazzi and Groop, \{Leif C.\} and Rudolf Kaaks and Huerta, \{Jos{\'e} Mar{\'i}a\} and Giovanna Masala and Nilsson, \{Peter M.\} and Kim Overvad and Valeria Pala and Salvatore Panico and Miguel Rodriguez-Barranco and Olov Rolandsson and Carlotta Sacerdote and Schulze, \{Matthias B.\} and Spijkerman, \{Annemieke M.W.\} and Anne Tjonneland and Rosario Tumino and \{van der Schouw\}, \{Yvonne T.\} and Sharp, \{Stephen J.\} and Forouhi, \{Nita G.\} and Elio Riboli and McCarthy, \{Mark I.\} and In{\^e}s Barroso and Claudia Langenberg and Wareham, \{Nicholas J.\}",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).",

year = "2020",

month = dec,

doi = "10.1038/s41597-020-00716-7",

language = "English",

volume = "7",

journal = "Scientific data",

issn = "2052-4463",

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Cai, L, Wheeler, E, Kerrison, ND, Luan, J, Deloukas, P, Franks, PW, Amiano, P, Ardanaz, E, Bonet, C, Fagherazzi, G, Groop, LC, Kaaks, R, Huerta, JM, Masala, G, Nilsson, PM, Overvad, K, Pala, V, Panico, S, Rodriguez-Barranco, M, Rolandsson, O, Sacerdote, C, Schulze, MB, Spijkerman, AMW, Tjonneland, A, Tumino, R, van der Schouw, YT, Sharp, SJ, Forouhi, NG, Riboli, E, McCarthy, MI, Barroso, I, Langenberg, C & Wareham, NJ 2020, 'Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study', Scientific data, vol. 7, n. 1, 393. https://doi.org/10.1038/s41597-020-00716-7

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T1 - Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

AU - Cai, Lina

AU - Wheeler, Eleanor

AU - Kerrison, Nicola D.

AU - Luan, Jian’an

AU - Deloukas, Panos

AU - Franks, Paul W.

AU - Amiano, Pilar

AU - Ardanaz, Eva

AU - Bonet, Catalina

AU - Fagherazzi, Guy

AU - Groop, Leif C.

AU - Kaaks, Rudolf

AU - Huerta, José María

AU - Masala, Giovanna

AU - Nilsson, Peter M.

AU - Overvad, Kim

AU - Pala, Valeria

AU - Panico, Salvatore

AU - Rodriguez-Barranco, Miguel

AU - Rolandsson, Olov

AU - Sacerdote, Carlotta

AU - Schulze, Matthias B.

AU - Spijkerman, Annemieke M.W.

AU - Tjonneland, Anne

AU - Tumino, Rosario

AU - van der Schouw, Yvonne T.

AU - Sharp, Stephen J.

AU - Forouhi, Nita G.

AU - Riboli, Elio

AU - McCarthy, Mark I.

AU - Barroso, Inês

AU - Langenberg, Claudia

AU - Wareham, Nicholas J.

PY - 2020/12

Y1 - 2020/12

N2 - Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.

AB - Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.

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U2 - 10.1038/s41597-020-00716-7

DO - 10.1038/s41597-020-00716-7

M3 - Article

SN - 2052-4463

VL - 7

JO - Scientific data

JF - Scientific data

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ER -

Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

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