Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood
The University of Queensland · The University of Melbourne · +1 more institution
Abstract
SUMMARY: Genetic correlations are the genome-wide aggregate effects of causal variants affecting multiple traits. Traditionally, genetic correlations between complex traits are estimated from pedigree studies, but such estimates can be confounded by shared environmental factors. Moreover, for diseases, low prevalence rates imply that even if the true genetic correlation between disorders was high, co-aggregation of disorders in families might not occur or could not be distinguished from chance. We have developed and implemented statistical methods based on linear mixed models to obtain unbiased estimates of the genetic correlation between pairs of quantitative traits or pairs of binary traits of complex…
Citation impact
- FWCI
- 26.37
- Percentile
- 100%
- References
- 14
Authors
5- SLSang LeeCorresponding
The University of Queensland, The University of Melbourne, Princess Alexandra Hospital
- JYJian Yang
The University of Queensland, The University of Melbourne, Princess Alexandra Hospital
- MEMichael E. Goddard
The University of Queensland, The University of Melbourne, Princess Alexandra Hospital
- PMPeter M. Visscher
The University of Queensland, The University of Melbourne, Princess Alexandra Hospital
- NRNaomi R. Wray
The University of Queensland, The University of Melbourne, Princess Alexandra Hospital
Topics & keywords
- Bivariate analysis
- Correlation
- Single-nucleotide polymorphism
- Biology
- Genetic correlation
- Genome-wide association study
- Genetics
- Pleiotropy