![]() | License: Creative Commons Attribution 4.0 PDF - Published Version (4MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-597195
- DOI to cite this document:
- 10.5283/epub.59719
Abstract
Background: Genome-wide association studies (GWAS) have identified thousands of loci for disease-related human traits in cross-sectional data. However, the impact of age on genetic effects is underacknowledged. Also, identifying genetic effects on longitudinal trait change has been hampered by small sample sizes for longitudinal data. Such effects on deteriorating trait levels over time or ...

Owner only: item control page