Mitchell, JS, Johnson, DC, Litchfield, K et al. (8 more authors) (2015) Implementation of genome-wide complex trait analysis to quantify the heritability in multiple myeloma. Scientific Reports, 5. 12473. ISSN 2045-2322
Abstract
A sizeable fraction of multiple myeloma (MM) is expected to be explained by heritable factors. Genome-wide association studies (GWAS) have successfully identified a number of common single-nucleotide polymorphisms (SNPs) influencing MM risk. While these SNPs only explain a small proportion of the genetic risk it is unclear how much is left to be detected by other, yet to be identified, common SNPs. Therefore, we applied Genome-Wide Complex Trait Analysis (GCTA) to 2,282 cases and 5,197 controls individuals to estimate the heritability of MM. We estimated that the heritability explained by known common MM risk SNPs identified in GWAS was 2.9% (±2.4%), whereas the heritability explained by all common SNPs was 15.2% (±2.8%). Comparing the heritability explained by the common variants with that from family studies, a fraction of the heritability may be explained by other genetic variants, such as rare variants. In summary, our results suggest that known MM SNPs only explain a small proportion of the heritability and more common SNPs remain to be identified.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), 2015. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Clinical Trials Research (LICTR) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Sep 2015 11:06 |
Last Modified: | 04 Sep 2015 11:06 |
Published Version: | http://dx.doi.org/10.1038/srep12473 |
Status: | Published |
Publisher: | Nature Publishing Group: |
Identification Number: | 10.1038/srep12473 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89401 |