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

Comparing within- and between-family polygenic score prediction

View ORCID ProfileSaskia Selzam, View ORCID ProfileStuart J. Ritchie, View ORCID ProfileJean-Baptiste Pingault, View ORCID ProfileChandra A. Reynolds, View ORCID ProfilePaul F. O’Reilly, View ORCID ProfileRobert Plomin
doi: https://doi.org/10.1101/605006
Saskia Selzam
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Saskia Selzam
  • For correspondence: saskia.selzam@kcl.ac.uk
Stuart J. Ritchie
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Stuart J. Ritchie
Jean-Baptiste Pingault
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
2Division of Psychology and Language Sciences, University College London, London, WC1H 0AP, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jean-Baptiste Pingault
Chandra A. Reynolds
3Department of Psychology, University of California Riverside, Riverside, CA 92521, United States of America
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chandra A. Reynolds
Paul F. O’Reilly
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
4Icahn School of Medicine, Mount Sinai, New York City, NY 10029, United States of America
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Paul F. O’Reilly
Robert Plomin
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Robert Plomin
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Polygenic scores are a popular tool for prediction of complex traits. However, prediction estimates in samples of unrelated participants can include effects of population stratification, assortative mating and environmentally mediated parental genetic effects, a form of genotype-environment correlation (rGE). Comparing genome-wide polygenic score (GPS) predictions in unrelated individuals with predictions between siblings in a within-family design is a powerful approach to identify these different sources of prediction. Here, we compared within- to between-family GPS predictions of eight life outcomes (anthropometric, cognitive, personality and health) for eight corresponding GPSs. The outcomes were assessed in up to 2,366 dizygotic (DZ) twin pairs from the Twins Early Development Study from age 12 to age 21. To account for family clustering, we used mixed-effects modelling, simultaneously estimating within- and between-family effects for target- and cross-trait GPS prediction of the outcomes. There were three main findings: (1) DZ twin GPS differences predicted DZ differences in height, BMI, intelligence, educational achievement and ADHD symptoms; (2) target and cross-trait analyses indicated that GPS prediction estimates for cognitive traits (intelligence and educational achievement) were on average 60% greater between families than within families, but this was not the case for non-cognitive traits; and (3) this within- and between-family difference for cognitive traits disappeared after controlling for family socio-economic status (SES), suggesting that SES is a source of between-family prediction through rGE mechanisms. These results provide novel insights into the patterns by which rGE contributes to GPS prediction, while ruling out confounding due to population stratification and assortative mating.

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-ND 4.0 International license.
Back to top
PreviousNext
Posted April 10, 2019.
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.
Comparing within- and between-family polygenic score prediction
(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
Comparing within- and between-family polygenic score prediction
Saskia Selzam, Stuart J. Ritchie, Jean-Baptiste Pingault, Chandra A. Reynolds, Paul F. O’Reilly, Robert Plomin
bioRxiv 605006; doi: https://doi.org/10.1101/605006
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Comparing within- and between-family polygenic score prediction
Saskia Selzam, Stuart J. Ritchie, Jean-Baptiste Pingault, Chandra A. Reynolds, Paul F. O’Reilly, Robert Plomin
bioRxiv 605006; doi: https://doi.org/10.1101/605006

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

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (2540)
  • Biochemistry (4990)
  • Bioengineering (3491)
  • Bioinformatics (15254)
  • Biophysics (6921)
  • Cancer Biology (5414)
  • Cell Biology (7762)
  • Clinical Trials (138)
  • Developmental Biology (4545)
  • Ecology (7171)
  • Epidemiology (2059)
  • Evolutionary Biology (10246)
  • Genetics (7524)
  • Genomics (9811)
  • Immunology (4883)
  • Microbiology (13275)
  • Molecular Biology (5159)
  • Neuroscience (29525)
  • Paleontology (203)
  • Pathology (839)
  • Pharmacology and Toxicology (1469)
  • Physiology (2147)
  • Plant Biology (4765)
  • Scientific Communication and Education (1015)
  • Synthetic Biology (1340)
  • Systems Biology (4016)
  • Zoology (770)