Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
Author:
Affiliation:
1. AgroParisTech and Université Paris‐Saclay Paris France
2. Université Paris‐Sud and Université Paris‐Saclay Orsay France
3. Institut Pasteur Paris France
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12261
Reference26 articles.
1. Permutation Testing in the Presence of Polygenic Variation
2. Neuroanatomy of autism
3. Extensions of stability selection using subsamples of observations and covariates
4. Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
5. Heritability estimation in high dimensional sparse linear mixed models
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1. Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting;BMC Bioinformatics;2021-03-27
2. Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models;Communications in Statistics - Simulation and Computation;2019-08-12
3. Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies;BMC Bioinformatics;2019-04-30
4. Resource acquisition and allocation traits in symbiotic rhizobia with implications for life-history outside of legume hosts;Royal Society Open Science;2018-12
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