Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The Genetics of Participation: Method and Analysis

Stefania Benonisdottir, Augustine Kong
doi: https://doi.org/10.1101/2022.02.11.480067
Stefania Benonisdottir
1Big Data Institute, Li Ka Shing Centre for Health Information Discovery, University of Oxford, Oxford, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stefania.benonisdottir@bdi.ox.ac.uk augustine.kong@bdi.ox.ac.uk
Augustine Kong
1Big Data Institute, Li Ka Shing Centre for Health Information Discovery, University of Oxford, Oxford, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stefania.benonisdottir@bdi.ox.ac.uk augustine.kong@bdi.ox.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Participation in a genetic study likely has a genetic component. Identifying such component is difficult as we cannot compare genetic information of participants with non-participants directly, the latter being unavailable. Here, we show that alleles that are more common in participants than non-participants would be further enriched in genetic segments shared by two related participants. Genome-wide analysis was performed by comparing allele frequencies in shared and not-shared genetic segments of first-degree relative pairs of the UK Biobank. A polygenic score constructed from that analysis, in non-overlapping samples, is associated with educational attainment (P = 2.1 × 10−52), body mass index (P = 1.5 × 10−19), and participation in a dietary study (P = 6.9 × 10−21). Further analysis shows that inclination to participate is a behavioural trait in its own right, and not simply a consequence of other established phenotypes. Understanding the basis of this trait is important for data analyses and the design of future surveys, genetic or otherwise.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted February 14, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The Genetics of Participation: Method and Analysis
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The Genetics of Participation: Method and Analysis
Stefania Benonisdottir, Augustine Kong
bioRxiv 2022.02.11.480067; doi: https://doi.org/10.1101/2022.02.11.480067
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The Genetics of Participation: Method and Analysis
Stefania Benonisdottir, Augustine Kong
bioRxiv 2022.02.11.480067; doi: https://doi.org/10.1101/2022.02.11.480067

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3691)
  • Biochemistry (7800)
  • Bioengineering (5678)
  • Bioinformatics (21295)
  • Biophysics (10584)
  • Cancer Biology (8179)
  • Cell Biology (11948)
  • Clinical Trials (138)
  • Developmental Biology (6764)
  • Ecology (10401)
  • Epidemiology (2065)
  • Evolutionary Biology (13876)
  • Genetics (9709)
  • Genomics (13075)
  • Immunology (8151)
  • Microbiology (20022)
  • Molecular Biology (7859)
  • Neuroscience (43073)
  • Paleontology (321)
  • Pathology (1279)
  • Pharmacology and Toxicology (2261)
  • Physiology (3353)
  • Plant Biology (7232)
  • Scientific Communication and Education (1314)
  • Synthetic Biology (2008)
  • Systems Biology (5539)
  • Zoology (1128)