Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT (doi:10.18710/S9TJEL)

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Part 2: Study Description
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Document Description

Citation

Title:

Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Identification Number:

doi:10.18710/S9TJEL

Distributor:

DataverseNO

Date of Distribution:

2022-04-21

Version:

2

Bibliographic Citation:

Moksnes, Marta Riise; Hveem, Kristian; Willer, Cristen; Brumpton, Ben, 2022, "Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT", https://doi.org/10.18710/S9TJEL, DataverseNO, V2

Study Description

Citation

Title:

Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Identification Number:

doi:10.18710/S9TJEL

Authoring Entity:

Moksnes, Marta Riise (NTNU – Norwegian University of Science and Technology)

Hveem, Kristian (NTNU – Norwegian University of Science and Technology)

Willer, Cristen (University of Michigan)

Brumpton, Ben (NTNU – Norwegian University of Science and Technology)

Producer:

NTNU – Norwegian University of Science and Technology

Distributor:

DataverseNO

Distributor:

NTNU – Norwegian University of Science and Technology

Access Authority:

Moksnes, Marta Riise

Depositor:

Tellefsen, Janne

Date of Deposit:

2022-04-13

Holdings Information:

https://doi.org/10.18710/S9TJEL

Study Scope

Keywords:

Medicine, Health and Life Sciences, GWAS, iron status, biomarkers

Abstract:

This dataset contains GWAS meta-analysis summary statistics for serum iron, serum ferritin, transferrin saturation and total iron binding capacity. Iron is essential for many biological processes, but iron levels must be tightly regulated to avoid harmful effects of both iron deficiency and overload. Here, we perform genome-wide association studies on four iron related biomarkers (serum iron, serum ferritin, transferrin saturation, total iron binding capacity) in the Trøndelag Health Study (HUNT), the Michigan Genomics Initiative (MGI) and the SardiNIA study, followed by their meta-analysis with publicly available summary statistics, analyzing up to 257,953 individuals.

Kind of Data:

Summary statistics (results) from GWAS analysis.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Moksnes, M.R., Graham, S.E., Wu, KH. et al. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT. Commun Biol 5, 591 (2022).

Identification Number:

10.1038/s42003-022-03529-z

Bibliographic Citation:

Moksnes, M.R., Graham, S.E., Wu, KH. et al. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT. Commun Biol 5, 591 (2022).

Other Study-Related Materials

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00_README_hunt_ironstatus.txt

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serum_ferritin_gwas_summary_statistics.txt

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serum_iron_gwas_summary_statistics.txt

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tibc_gwas_summary_statistics.txt

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Other Study-Related Materials

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tsp_gwas_summary_statistics.txt

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