Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Precedings
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • RSS feed
  1. nature
  2. nature precedings
  3. articles
  4. article
A Handy Script to Implement Genetic Models in R
Download PDF
Download PDF
  • Manuscript
  • Open access
  • Published: 23 January 2008

A Handy Script to Implement Genetic Models in R

  • Wei Zhang1 

Nature Precedings (2008)Cite this article

  • 274 Accesses

  • Metrics details

Abstract

Genome-wide associations between genotypic and phenotypic data often assume certain genetic models. A handy script in R was written to implement three commonly used genetic models: additive, dominant and recessive models. This script can be easily inserted into more complicated programs to facilitate high-throughput association studies.

Similar content being viewed by others

Opportunities and challenges for the use of common controls in sequencing studies

Article 17 May 2022

Controlling for background genetic effects using polygenic scores improves the power of genome-wide association studies

Article Open access 01 October 2021

The impact of non-additive genetic associations on age-related complex diseases

Article Open access 23 April 2021

Article PDF

Author information

Authors and Affiliations

  1. Section of HematologyOncology, Department of Medicine,The University of Chicago https://www.nature.com/nature

    Wei Zhang

Authors
  1. Wei Zhang
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Wei Zhang.

Rights and permissions

Creative Commons Attribution 3.0 License.

Reprints and permissions

About this article

Cite this article

Zhang, W. A Handy Script to Implement Genetic Models in R. Nat Prec (2008). https://doi.org/10.1038/npre.2008.1537.1

Download citation

  • Received: 23 January 2008

  • Accepted: 23 January 2008

  • Published: 23 January 2008

  • DOI: https://doi.org/10.1038/npre.2008.1537.1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

This article is cited by

  • A Toll-like receptor-1 variant and its characteristic cellular phenotype is associated with severe malaria in Papua New Guinean children

    • L Manning
    • J Cutts
    • I Mueller

    Genes & Immunity (2016)

Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Precedings (Nat Preced)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2025 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing