The HUNT study

The HUNT study: A population-based cohort for genetic research

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The HUNT study : A population-based cohort for genetic research. / Brumpton, Ben M.; Graham, Sarah; Surakka, Ida; Skogholt, Anne Heidi; Løset, Mari; Fritsche, Lars G.; Wolford, Brooke; Zhou, Wei; Nielsen, Jonas Bille; Holmen, Oddgeir L.; Gabrielsen, Maiken E.; Thomas, Laurent; Bhatta, Laxmi; Rasheed, Humaira; Zhang, He; Kang, Hyun Min; Hornsby, Whitney; Moksnes, Marta Riise; Coward, Eivind; Melbye, Mads; Giskeødegård, Guro F.; Fenstad, Jørn; Krokstad, Steinar; Næss, Marit; Langhammer, Arnulf; Boehnke, Michael; Abecasis, Gonçalo R.; Åsvold, Bjørn Olav; Hveem, Kristian; Willer, Cristen J.

In: Cell Genomics, Vol. 2, No. 10, 100193, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Brumpton, BM, Graham, S, Surakka, I, Skogholt, AH, Løset, M, Fritsche, LG, Wolford, B, Zhou, W, Nielsen, JB, Holmen, OL, Gabrielsen, ME, Thomas, L, Bhatta, L, Rasheed, H, Zhang, H, Kang, HM, Hornsby, W, Moksnes, MR, Coward, E, Melbye, M, Giskeødegård, GF, Fenstad, J, Krokstad, S, Næss, M, Langhammer, A, Boehnke, M, Abecasis, GR, Åsvold, BO, Hveem, K & Willer, CJ 2022, 'The HUNT study: A population-based cohort for genetic research', Cell Genomics, vol. 2, no. 10, 100193. https://doi.org/10.1016/j.xgen.2022.100193

APA

Brumpton, B. M., Graham, S., Surakka, I., Skogholt, A. H., Løset, M., Fritsche, L. G., Wolford, B., Zhou, W., Nielsen, J. B., Holmen, O. L., Gabrielsen, M. E., Thomas, L., Bhatta, L., Rasheed, H., Zhang, H., Kang, H. M., Hornsby, W., Moksnes, M. R., Coward, E., ... Willer, C. J. (2022). The HUNT study: A population-based cohort for genetic research. Cell Genomics, 2(10), [100193]. https://doi.org/10.1016/j.xgen.2022.100193

Vancouver

Brumpton BM, Graham S, Surakka I, Skogholt AH, Løset M, Fritsche LG et al. The HUNT study: A population-based cohort for genetic research. Cell Genomics. 2022;2(10). 100193. https://doi.org/10.1016/j.xgen.2022.100193

Author

Brumpton, Ben M. ; Graham, Sarah ; Surakka, Ida ; Skogholt, Anne Heidi ; Løset, Mari ; Fritsche, Lars G. ; Wolford, Brooke ; Zhou, Wei ; Nielsen, Jonas Bille ; Holmen, Oddgeir L. ; Gabrielsen, Maiken E. ; Thomas, Laurent ; Bhatta, Laxmi ; Rasheed, Humaira ; Zhang, He ; Kang, Hyun Min ; Hornsby, Whitney ; Moksnes, Marta Riise ; Coward, Eivind ; Melbye, Mads ; Giskeødegård, Guro F. ; Fenstad, Jørn ; Krokstad, Steinar ; Næss, Marit ; Langhammer, Arnulf ; Boehnke, Michael ; Abecasis, Gonçalo R. ; Åsvold, Bjørn Olav ; Hveem, Kristian ; Willer, Cristen J. / The HUNT study : A population-based cohort for genetic research. In: Cell Genomics. 2022 ; Vol. 2, No. 10.

Bibtex

@article{3df83bf24d9c43d88a22e214dc822d89,

title = "The HUNT study: A population-based cohort for genetic research",

abstract = "The Tr{\o}ndelag Health Study (HUNT) is a population-based cohort of ∼229,000 individuals recruited in four waves beginning in 1984 in Tr{\o}ndelag County, Norway. Approximately 88,000 of these individuals have available genetic data from array genotyping. HUNT participants were recruited during four community-based recruitment waves and provided information on health-related behaviors, self-reported diagnoses, family history of disease, and underwent physical examinations. Linkage via the Norwegian personal identification number integrates digitized health care information from doctor visits and national health registries including death, cancer and prescription registries. Genome-wide association studies of HUNT participants have provided insights into the mechanism of cardiovascular, metabolic, osteoporotic, and liver-related diseases, among others. Unique features of this cohort that facilitate research include nearly 40 years of longitudinal follow-up in a motivated and well-educated population, family data, comprehensive phenotyping, and broad availability of DNA, RNA, urine, fecal, plasma, and serum samples.",

keywords = "big data, biobank, cardiovascular health, complex disease, electronic health records, genetic epidemiology, genetics, longitudinal, omics, public health",

author = "Brumpton, {Ben M.} and Sarah Graham and Ida Surakka and Skogholt, {Anne Heidi} and Mari L{\o}set and Fritsche, {Lars G.} and Brooke Wolford and Wei Zhou and Nielsen, {Jonas Bille} and Holmen, {Oddgeir L.} and Gabrielsen, {Maiken E.} and Laurent Thomas and Laxmi Bhatta and Humaira Rasheed and He Zhang and Kang, {Hyun Min} and Whitney Hornsby and Moksnes, {Marta Riise} and Eivind Coward and Mads Melbye and Giske{\o}deg{\aa}rd, {Guro F.} and J{\o}rn Fenstad and Steinar Krokstad and Marit N{\ae}ss and Arnulf Langhammer and Michael Boehnke and Abecasis, {Gon{\c c}alo R.} and {\AA}svold, {Bj{\o}rn Olav} and Kristian Hveem and Willer, {Cristen J.}",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

doi = "10.1016/j.xgen.2022.100193",

language = "English",

volume = "2",

journal = "Cell Genomics",

issn = "2666-979x",

publisher = "Elsevier",

number = "10",

}

RIS

TY - JOUR

T1 - The HUNT study

T2 - A population-based cohort for genetic research

AU - Brumpton, Ben M.

AU - Graham, Sarah

AU - Surakka, Ida

AU - Skogholt, Anne Heidi

AU - Løset, Mari

AU - Fritsche, Lars G.

AU - Wolford, Brooke

AU - Zhou, Wei

AU - Nielsen, Jonas Bille

AU - Holmen, Oddgeir L.

AU - Gabrielsen, Maiken E.

AU - Thomas, Laurent

AU - Bhatta, Laxmi

AU - Rasheed, Humaira

AU - Zhang, He

AU - Kang, Hyun Min

AU - Hornsby, Whitney

AU - Moksnes, Marta Riise

AU - Coward, Eivind

AU - Melbye, Mads

AU - Giskeødegård, Guro F.

AU - Fenstad, Jørn

AU - Krokstad, Steinar

AU - Næss, Marit

AU - Langhammer, Arnulf

AU - Boehnke, Michael

AU - Abecasis, Gonçalo R.

AU - Åsvold, Bjørn Olav

AU - Hveem, Kristian

AU - Willer, Cristen J.

PY - 2022

Y1 - 2022

N2 - The Trøndelag Health Study (HUNT) is a population-based cohort of ∼229,000 individuals recruited in four waves beginning in 1984 in Trøndelag County, Norway. Approximately 88,000 of these individuals have available genetic data from array genotyping. HUNT participants were recruited during four community-based recruitment waves and provided information on health-related behaviors, self-reported diagnoses, family history of disease, and underwent physical examinations. Linkage via the Norwegian personal identification number integrates digitized health care information from doctor visits and national health registries including death, cancer and prescription registries. Genome-wide association studies of HUNT participants have provided insights into the mechanism of cardiovascular, metabolic, osteoporotic, and liver-related diseases, among others. Unique features of this cohort that facilitate research include nearly 40 years of longitudinal follow-up in a motivated and well-educated population, family data, comprehensive phenotyping, and broad availability of DNA, RNA, urine, fecal, plasma, and serum samples.

AB - The Trøndelag Health Study (HUNT) is a population-based cohort of ∼229,000 individuals recruited in four waves beginning in 1984 in Trøndelag County, Norway. Approximately 88,000 of these individuals have available genetic data from array genotyping. HUNT participants were recruited during four community-based recruitment waves and provided information on health-related behaviors, self-reported diagnoses, family history of disease, and underwent physical examinations. Linkage via the Norwegian personal identification number integrates digitized health care information from doctor visits and national health registries including death, cancer and prescription registries. Genome-wide association studies of HUNT participants have provided insights into the mechanism of cardiovascular, metabolic, osteoporotic, and liver-related diseases, among others. Unique features of this cohort that facilitate research include nearly 40 years of longitudinal follow-up in a motivated and well-educated population, family data, comprehensive phenotyping, and broad availability of DNA, RNA, urine, fecal, plasma, and serum samples.

KW - big data

KW - biobank

KW - cardiovascular health

KW - complex disease

KW - electronic health records

KW - genetic epidemiology

KW - genetics

KW - longitudinal

KW - omics

KW - public health

U2 - 10.1016/j.xgen.2022.100193

DO - 10.1016/j.xgen.2022.100193

M3 - Journal article

C2 - 36777998

AN - SCOPUS:85140027872

VL - 2

JO - Cell Genomics

JF - Cell Genomics

SN - 2666-979x

IS - 10

M1 - 100193

ER -

ID: 334988705