Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
Blood metabolite levels are under the influence of environmental and genetic factors. Here, Hagenbeek et al. perform heritability estimations for metabolite measures and determine the contribution of known metabolite loci to metabolite levels using data from 40 genome-wide association studies.
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2020
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oai:doaj.org-article:bdd7a85c5d32461f9a054623f04904bd2021-12-02T17:31:25ZHeritability estimates for 361 blood metabolites across 40 genome-wide association studies10.1038/s41467-019-13770-62041-1723https://doaj.org/article/bdd7a85c5d32461f9a054623f04904bd2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13770-6https://doaj.org/toc/2041-1723Blood metabolite levels are under the influence of environmental and genetic factors. Here, Hagenbeek et al. perform heritability estimations for metabolite measures and determine the contribution of known metabolite loci to metabolite levels using data from 40 genome-wide association studies.Fiona A. HagenbeekRené PoolJenny van DongenHarmen H. M. DraismaJouke Jan HottengaGonneke WillemsenAbdel AbdellaouiIryna O. FedkoAnouk den BraberPieter Jelle VisserEco J. C. N. de GeusKo Willems van DijkAswin VerhoevenH. Eka SuchimanMarian BeekmanP. Eline SlagboomCornelia M. van DuijnBBMRI Metabolomics ConsortiumAmy C. HarmsThomas HankemeierMeike BartelsMichel G. NivardDorret I. BoomsmaNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
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Science Q Fiona A. Hagenbeek René Pool Jenny van Dongen Harmen H. M. Draisma Jouke Jan Hottenga Gonneke Willemsen Abdel Abdellaoui Iryna O. Fedko Anouk den Braber Pieter Jelle Visser Eco J. C. N. de Geus Ko Willems van Dijk Aswin Verhoeven H. Eka Suchiman Marian Beekman P. Eline Slagboom Cornelia M. van Duijn BBMRI Metabolomics Consortium Amy C. Harms Thomas Hankemeier Meike Bartels Michel G. Nivard Dorret I. Boomsma Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
description |
Blood metabolite levels are under the influence of environmental and genetic factors. Here, Hagenbeek et al. perform heritability estimations for metabolite measures and determine the contribution of known metabolite loci to metabolite levels using data from 40 genome-wide association studies. |
format |
article |
author |
Fiona A. Hagenbeek René Pool Jenny van Dongen Harmen H. M. Draisma Jouke Jan Hottenga Gonneke Willemsen Abdel Abdellaoui Iryna O. Fedko Anouk den Braber Pieter Jelle Visser Eco J. C. N. de Geus Ko Willems van Dijk Aswin Verhoeven H. Eka Suchiman Marian Beekman P. Eline Slagboom Cornelia M. van Duijn BBMRI Metabolomics Consortium Amy C. Harms Thomas Hankemeier Meike Bartels Michel G. Nivard Dorret I. Boomsma |
author_facet |
Fiona A. Hagenbeek René Pool Jenny van Dongen Harmen H. M. Draisma Jouke Jan Hottenga Gonneke Willemsen Abdel Abdellaoui Iryna O. Fedko Anouk den Braber Pieter Jelle Visser Eco J. C. N. de Geus Ko Willems van Dijk Aswin Verhoeven H. Eka Suchiman Marian Beekman P. Eline Slagboom Cornelia M. van Duijn BBMRI Metabolomics Consortium Amy C. Harms Thomas Hankemeier Meike Bartels Michel G. Nivard Dorret I. Boomsma |
author_sort |
Fiona A. Hagenbeek |
title |
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
title_short |
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
title_full |
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
title_fullStr |
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
title_full_unstemmed |
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
title_sort |
heritability estimates for 361 blood metabolites across 40 genome-wide association studies |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/bdd7a85c5d32461f9a054623f04904bd |
work_keys_str_mv |
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