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dc.contributor.authorMoksnes, Marta Riise
dc.contributor.authorGraham, Sarah E.
dc.contributor.authorWu, Kuan-Han
dc.contributor.authorHansen, Ailin Falkmo
dc.contributor.authorGagliano Taliun, Sarah A.
dc.contributor.authorZhou, Wei
dc.contributor.authorThorstensen, Ketil
dc.contributor.authorFritsche, Lars
dc.contributor.authorGill, Dipender
dc.contributor.authorMason, Amy
dc.contributor.authorCucca, Francesco
dc.contributor.authorSchlessinger, David
dc.contributor.authorAbecasis, Gonçalo R.
dc.contributor.authorBurgess, Stephen
dc.contributor.authorÅsvold, Bjørn Olav
dc.contributor.authorNielsen, Jonas Bille
dc.contributor.authorHveem, Kristian
dc.contributor.authorWiller, Cristen J.
dc.contributor.authorBrumpton, Ben Michael
dc.date.accessioned2023-02-21T14:52:27Z
dc.date.available2023-02-21T14:52:27Z
dc.date.created2022-09-16T11:03:55Z
dc.date.issued2022
dc.identifier.citationCommunications Biology. 2022, 5 (1), .en_US
dc.identifier.issn2399-3642
dc.identifier.urihttps://hdl.handle.net/11250/3052849
dc.description.abstractIron 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. We identify 123 genetic loci associated with iron traits. Among 19 novel protein-altering variants, we observe a rare missense variant (rs367731784) in HUNT, which suggests a role for DNAJC13 in transferrin recycling. We further validate recently published results using genetic risk scores for each biomarker in HUNT (6% variance in serum iron explained) and present linear and non-linear Mendelian randomization analyses of the traits on all-cause mortality. We find evidence of a harmful effect of increased serum iron and transferrin saturation in linear analyses that estimate population-averaged effects. However, there was weak evidence of a protective effect of increasing serum iron at the very low end of its distribution. Our findings contribute to our understanding of the genes affecting iron status and its consequences on human health.en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGenome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNTen_US
dc.title.alternativeGenome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNTen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume5en_US
dc.source.journalCommunications Biologyen_US
dc.source.issue1en_US
dc.identifier.doi10.1038/s42003-022-03529-z
dc.identifier.cristin2052406
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal