
Christian Gieger
Articles
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Nov 19, 2024 |
nature.com | Simon Wiegrebe |Mathias Gorski |Klaus J. Stark |Christian Gieger |Johannes Schödel |Han Chen | +3 more
AbstractUnderstanding the genetics of kidney function decline, or trait change in general, is hampered by scarce longitudinal data for GWAS (longGWAS) and uncertainty about how to analyze such data. We use longitudinal UK Biobank data for creatinine-based estimated glomerular filtration rate from 348,275 individuals to search for genetic variants associated with eGFR-decline. This search was performed both among 595 variants previously associated with eGFR in cross-sectional GWAS and genome-wide.
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Jun 5, 2024 |
mdpi.com | Pamela R. Matias-Garcia |Christian Gieger |Liye Lai |Anja Kretschmer
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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Jun 5, 2024 |
nature.com | Barbara Schormair |Steven Bell |Maria Didriksen |Ambra Stefani |Georgios M. Hadjigeorgiou |Owen A Ross | +16 more
AbstractRestless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To advance disease prediction and find new entry points for therapy, we performed meta-analyses of genome-wide association studies in 116,647 individuals with RLS (cases) and 1,546,466 controls of European ancestry. The pooled analysis increased the number of risk loci eightfold to 164, including three on chromosome X.
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Mar 6, 2024 |
nature.com | Minna K. Karjalainen |Eeva Sliz |Elias Allara |Weihua Zhang |Pekka Jousilahti |Kati Kristiansson | +46 more
AbstractGenome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism1,2,3,4,5,6,7. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases8,9,10,11.
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Feb 15, 2024 |
medrxiv.org | Yipeng Cheng |Christian Gieger |Archie Campbell |Andrew McIntosh |Andrew Mcintosh
R.E.M is an advisor to the Epigenetic Clock Development Foundation and Optima Partners. All other authors declare no competing interests. This research was funded in whole, or in part, by the Wellcome Trust [104036/Z/14/Z, 108890/Z/15/Z, 216767/Z/19/Z]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
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