Change search
ReferencesLink to record
Permanent link

Direct link
Inheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-4390-1979
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0002-1057-5401
2012 (English)In: PLOS Genetics, ISSN 1553-7390, E-ISSN 1553-7404, Vol. 8, no 8, e1002839Article in journal (Refereed) Published
Abstract [en]

The phenotypic effect of a gene is normally described by the mean-difference between alternative genotypes. A gene may, however, also influence the phenotype by causing a difference in variance between genotypes. Here, we reanalyze a publicly available Arabidopsis thaliana dataset [1] and show that genetic variance heterogeneity appears to be as common as normal additive effects on a genomewide scale. The study also develops theory to estimate the contributions of variance differences between genotypes to the phenotypic variance, and this is used to show that individual loci can explain more than 20% of the phenotypic variance. Two well-studied systems, cellular control of molybdenum level by the ion-transporter MOT1 and flowering-time regulation by the FRI-FLC expression network, and a novel association for Leaf serration are used to illustrate the contribution of major individual loci, expression pathways, and gene-by-environment interactions to the genetic variance heterogeneity.

Place, publisher, year, edition, pages
2012. Vol. 8, no 8, e1002839
National Category
Research subject
Complex Systems – Microdata Analysis, Statistisk modellering är grunden till en ökad förståelse inom genetik!; Complex Systems – Microdata Analysis, General Microdata Analysis - methods
URN: urn:nbn:se:du-10538DOI: 10.1371/journal.pgen.1002839ISI: 000308529300006PubMedID: 22876191OAI: diva2:543921
Swedish Research Council Formas
Available from: 2012-08-10 Created: 2012-08-10 Last updated: 2016-06-03Bibliographically approved

Open Access in DiVA

fulltext(903 kB)15 downloads
File information
File name FULLTEXT01.pdfFile size 903 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Shen, XiaRönnegård, Lars
By organisation
In the same journal
PLOS Genetics

Search outside of DiVA

GoogleGoogle Scholar
Total: 15 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

Altmetric score

Total: 561 hits
ReferencesLink to record
Permanent link

Direct link