Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

FinnGen; Essi Viippola; Sara Kuitunen; Rodosthenis S. Rodosthenous; Andrius Vabalas; Tuomo Hartonen; Pekka Vartiainen; Joanne Demmler; Anna-Leena Vuorinen; Aoxing Liu; Aki S. Havulinna; Vincent Llorens; Kira E. Detrois; Feiyi Wang; Matteo Ferro; Antti Karvanen; Jakob German; Sakari Jukarainen; Javier Gracia-Tabuenca; Tero Hiekkalinna; Sami Koskelainen; Tuomo Kiiskinen; Elisa Lahtela; Susanna Lemmelä; Teemu Paajanen; Harri Siirtola; Mary Pat Reeve; Kati Kristiansson; Minna Brunfeldt; Mervi Aavikko; Markus Perola; Andrea Ganna

doi:10.1093/ije/dyad091

Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

FinnGen
, Essi Viippola
, Sara Kuitunen
, Rodosthenis S. Rodosthenous
, Andrius Vabalas
, Tuomo Hartonen
, Pekka Vartiainen
, Joanne Demmler
, Anna-Leena Vuorinen
, Aoxing Liu
, Aki S. Havulinna
, Vincent Llorens
, Kira E. Detrois
, Feiyi Wang
, Matteo Ferro
, Antti Karvanen
, Jakob German
, Sakari Jukarainen
, Javier Gracia-Tabuenca
, Tero Hiekkalinna

Sami Koskelainen, Tuomo Kiiskinen, Elisa Lahtela, Susanna Lemmelä, Teemu Paajanen, Harri Siirtola, Mary Pat Reeve, Kati Kristiansson, Minna Brunfeldt, Mervi Aavikko, Markus Perola, Andrea Ganna

Research output: Contribution to journal › Article › Scientific › peer-review

16 Citations (Scopus)

64 Downloads (Pure)

Original language	English
Pages (from-to)	e195-e200
Journal	International Journal of Epidemiology
Volume	52
Issue number	4
DOIs	https://doi.org/10.1093/ije/dyad091
Publication status	Published - 2 Aug 2023
Publication type	A1 Journal article-refereed

Publication forum classification

Publication forum level 3

ASJC Scopus subject areas

Epidemiology

Access to Document

10.1093/ije/dyad091

dyad091Final published version, 734 KBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202308227704Licence: CC BY

Cite this

FinnGen, Viippola, E., Kuitunen, S., Rodosthenous, R. S., Vabalas, A., Hartonen, T., Vartiainen, P., Demmler, J., Vuorinen, A.-L., Liu, A., Havulinna, A. S., Llorens, V., Detrois, K. E., Wang, F., Ferro, M., Karvanen, A., German, J., Jukarainen, S., Gracia-Tabuenca, J., ... Ganna, A. (2023). Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry). International Journal of Epidemiology, 52(4), e195-e200. https://doi.org/10.1093/ije/dyad091

@article{237adab03a3d4d338751e1a4b00713fd,

title = "Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)",

author = "FinnGen and Essi Viippola and Sara Kuitunen and Rodosthenous, \{Rodosthenis S.\} and Andrius Vabalas and Tuomo Hartonen and Pekka Vartiainen and Joanne Demmler and Anna-Leena Vuorinen and Aoxing Liu and Havulinna, \{Aki S.\} and Vincent Llorens and Detrois, \{Kira E.\} and Feiyi Wang and Matteo Ferro and Antti Karvanen and Jakob German and Sakari Jukarainen and Javier Gracia-Tabuenca and Tero Hiekkalinna and Sami Koskelainen and Tuomo Kiiskinen and Elisa Lahtela and Susanna Lemmel{\"a} and Teemu Paajanen and Harri Siirtola and Reeve, \{Mary Pat\} and Kati Kristiansson and Minna Brunfeldt and Mervi Aavikko and Markus Perola and Andrea Ganna",

year = "2023",

month = aug,

day = "2",

doi = "10.1093/ije/dyad091",

language = "English",

volume = "52",

pages = "e195--e200",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "4",

}

FinnGen, Viippola, E, Kuitunen, S, Rodosthenous, RS, Vabalas, A, Hartonen, T, Vartiainen, P, Demmler, J, Vuorinen, A-L, Liu, A, Havulinna, AS, Llorens, V, Detrois, KE, Wang, F, Ferro, M, Karvanen, A, German, J, Jukarainen, S, Gracia-Tabuenca, J, Hiekkalinna, T, Koskelainen, S, Kiiskinen, T, Lahtela, E, Lemmelä, S, Paajanen, T, Siirtola, H, Reeve, MP, Kristiansson, K, Brunfeldt, M, Aavikko, M, Perola, M & Ganna, A 2023, 'Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)', International Journal of Epidemiology, vol. 52, no. 4, pp. e195-e200. https://doi.org/10.1093/ije/dyad091

TY - JOUR

T1 - Data Resource Profile

T2 - Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

AU - FinnGen

AU - Viippola, Essi

AU - Kuitunen, Sara

AU - Rodosthenous, Rodosthenis S.

AU - Vabalas, Andrius

AU - Hartonen, Tuomo

AU - Vartiainen, Pekka

AU - Demmler, Joanne

AU - Vuorinen, Anna-Leena

AU - Liu, Aoxing

AU - Havulinna, Aki S.

AU - Llorens, Vincent

AU - Detrois, Kira E.

AU - Wang, Feiyi

AU - Ferro, Matteo

AU - Karvanen, Antti

AU - German, Jakob

AU - Jukarainen, Sakari

AU - Gracia-Tabuenca, Javier

AU - Hiekkalinna, Tero

AU - Koskelainen, Sami

AU - Kiiskinen, Tuomo

AU - Lahtela, Elisa

AU - Lemmelä, Susanna

AU - Paajanen, Teemu

AU - Siirtola, Harri

AU - Reeve, Mary Pat

AU - Kristiansson, Kati

AU - Brunfeldt, Minna

AU - Aavikko, Mervi

AU - Perola, Markus

AU - Ganna, Andrea

PY - 2023/8/2

Y1 - 2023/8/2

U2 - 10.1093/ije/dyad091

DO - 10.1093/ije/dyad091

M3 - Article

C2 - 37365732

AN - SCOPUS:85166442042

SN - 0300-5771

VL - 52

SP - e195-e200

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 4

ER -