Academic Journal

Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline

التفاصيل البيبلوغرافية
العنوان: Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline
المؤلفون: Wiegrebe, Simon, Gorski, Mathias, Herold, Janina M., Stark, Klaus J., Thorand, Barbara, Gieger, Christian, Böger, Carsten A., Schödel, Johannes, Hartig, Florian, Chen, Han, Winkler, Thomas W., Küchenhoff, Helmut, Heid, Iris M.
بيانات النشر: Springer Nature
سنة النشر: 2024
المجموعة: University of Regensburg Publication Server
مصطلحات موضوعية: 610 Medizin, ddc:610
الوصف: Understanding 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. We use seven statistical approaches to analyze the UK Biobank data and simulated data, finding that a linear mixed model is a powerful approach with unbiased effect estimates which is viable for longGWAS. The linear mixed model identifies 13 independent genetic variants associated with eGFR-decline, including 6 novel variants, and links them to age-dependent eGFR-genetics. We demonstrate that age-dependent and age-independent eGFR-genetics exhibit a differential pattern regarding clinical progression traits and kidney-specific gene expression regulation. Overall, our results provide insights into kidney aging and linear mixed model-based longGWAS generally.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://epub.uni-regensburg.de/59727/1/s41467-024-54483-9.pdf; Wiegrebe, Simon, Gorski, Mathias , Herold, Janina M., Stark, Klaus J., Thorand, Barbara , Gieger, Christian, Böger, Carsten A., Schödel, Johannes, Hartig, Florian , Chen, Han , Winkler, Thomas W. , Küchenhoff, Helmut und Heid, Iris M. (2024) Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline. Nature Communications 15, S. 10061.
DOI: 10.1038/s41467-024-54483-9
DOI: 10.5283/epub.59727
الاتاحة: https://epub.uni-regensburg.de/59727/
https://doi.org/10.1038/s41467-024-54483-9
https://doi.org/10.5283/epub.59727
Rights: cc_by_4
رقم الانضمام: edsbas.D907D6A6
قاعدة البيانات: BASE
الوصف
DOI:10.1038/s41467-024-54483-9