Mixed-model Heritability Analysis
Mixed-Model Heritability Analysis is a statistical methodology that estimates the proportion of phenotypic variance attributable to genetic factors by incorporating both fixed and random effects within a linear mixed model framework to account for population structure and relatedness among individuals.
31
Publications
2.2K
Citations
543
Authors
74
Institutions
Publications per year
2017–2026
6
Parents
31
Improved Heritability Estimation from Genome-wide SNPs
Doug Speed, Gibran Hemani, Michael R. Johnson et al. · The American Journal of Human Genetics · 2012 · 838 citations · Full text
Marker-Based Estimation of Heritability in Immortal Populations
Willem Kruijer, Martin P. Boer, Marcos Malosetti et al. · Genetics · 2014 · 215 citations · Full text
1–5 of 31
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Indiana University – Purdue University Indianapolis, United States
1 publications · 27 citations
1
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1
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1
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1–5 of 543
74
University College London
London, United Kingdom
2 h-index
409 publications
79.4K citations

The University of Queensland
Brisbane, Australia
2 h-index
3 publications
864 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
6 publications
162 citations
Institute of Cytology and Genetics
Novosibirsk, Russia
1 h-index
1 publications
78 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
13 citations
National Cancer Institute
Bethesda, United States
1 h-index
407 publications
77.7K citations
Central Potato Research Institute
Shimla, India
1 h-index
3 publications
48 citations

Norwegian University of Life Sciences
Ås, Norway
1 h-index
2 publications
24 citations
1–8 of 74
2 publications · 106 citations
2
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GSE · 1 publications · 12 citations
1
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1 publications · 40 citations
1
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1 publications · 20 citations
1
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1 publications · 12 citations
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