Genetic and epigenetic architectures of neurological protein biomarkers in the Lothian Birth Cohort 1936
Robert F Hillary,
Daniel L McCartney,
Sarah E. Harris,
Anna J Stevenson,
David C Liewald,
Kathryn L. Evans,
Craig W Ritchie,
Elliot M. Tucker-Drob,
Naomi R. Wray,
Allan F. McRae,
Peter M Visscher,
Ian J Deary,
Riccardo E Marioni
Posted 26 Feb 2019
bioRxiv DOI: 10.1101/558940
Posted 26 Feb 2019
Although plasma proteins may serve as important markers of disease risk in neurological conditions, the molecular mechanisms responsible for inter-individual variation in plasma protein levels are poorly understood. In this study, we conducted genome- and epigenome-wide association studies on the levels of 92 neurological proteins to identify genetic and epigenetic loci associated with their plasma concentrations (n = 750). We identified 62 independent genome-wide significant loci for 37 proteins (P < 5.4 x 10-10) and 68 epigenome-wide significant sites associated with the levels of 7 proteins (P < 3.9 x 10-10). Using this information, we identified biological pathways in which putative neurological biomarkers are implicated as well as molecular mechanisms through which genetic variation may perturb plasma protein levels. Additionally, we found evidence that poliovirus receptor is causally associated with Alzheimers disease. In conclusion, we identified many novel genetic and epigenetic factors that are associated with neurological protein levels which may inform disease biology and establish causal relationships between biomarkers and neurological diseases.
- Downloaded 367 times
- Download rankings, all-time:
- Site-wide: 60,241 out of 118,417
- In neuroscience: 9,301 out of 18,606
- Year to date:
- Site-wide: 99,602 out of 118,417
- Since beginning of last month:
- Site-wide: 80,365 out of 118,417
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!