Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Recent developments in statistical methods for detecting genetic loci affecting phenotypic variability
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0002-1057-5401
2012 (English)In: BMC Genetics, E-ISSN 1471-2156, Vol. 13, article id 63Article in journal (Refereed) Published
Abstract [en]

A number of recent works have introduced statistical methods for detecting genetic loci that affect phenotypic variability, which we refer to as variability-controlling quantitative trait loci (vQTL). These are genetic variants whose allelic state predicts how much phenotype values will vary about their expected means. Such loci are of great potential interest in both human and non-human genetic studies, one reason being that a detected vQTL could represent a previously undetected interaction with other genes or environmental factors. The simultaneous publication of these new methods in different journals has in many cases precluded opportunity for comparison. We survey some of these methods, the respective trade-offs they imply, and the connections between them. The methods fall into three main groups: classical non-parametric, fully parametric, and semi-parametric two-stage approximations. Choosing between alternatives involves balancing the need for robustness, flexibility, and speed. For each method, we identify important assumptions and limitations, including those of practical importance, such as their scope for including covariates and random effects. We show in simulations that both parametric methods and their semi-parametric approximations can give elevated false positive rates when they ignore mean-variance relationships intrinsic to the data generation process. We conclude that choice of method depends on the trait distribution, the need to include non-genetic covariates, and the population size and structure, coupled with a critical evaluation of how these fit with the assumptions of the statistical model.

Place, publisher, year, edition, pages
2012. Vol. 13, article id 63
National Category
Mathematics
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis; Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-10527DOI: 10.1186/1471-2156-13-63ISI: 000312139100001PubMedID: 22827487Scopus ID: 2-s2.0-84868685305OAI: oai:DiVA.org:du-10527DiVA, id: diva2:543344
Funder
Swedish Research Council FormasAvailable from: 2012-08-07 Created: 2012-08-07 Last updated: 2024-01-17Bibliographically approved

Open Access in DiVA

fulltext(324 kB)235 downloads
File information
File name FULLTEXT02.pdfFile size 324 kBChecksum SHA-512
172ed05d74dd8ff476f50b3a2fe92bdd3ef71b052d4443d17fdbb909e90c1f88e8849df169ed8d410e43101a86c0d625f70269db171dcd8892fa292ce2585d8b
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Rönnegård, Lars

Search in DiVA

By author/editor
Rönnegård, Lars
By organisation
Statistics
In the same journal
BMC Genetics
Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 235 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 759 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf