Computational Molecular Biology 2026, Vol.16, No.3, 159-180 http://bioscipublisher.com/index.php/cmb 178 Yang J., Zeng J., Goddard M.E., Wray N.R., and Visscher P.M., 2017, Concepts, estimation and interpretation of SNP-based heritability, Nature Genetics, 49: 1304-1310. https://doi.org/10.1038/ng.3941 Zhang Y., Qi G., Park J., and Chatterjee N., 2018, Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits, Nature Genetics, 50: 1318-1326. https://doi.org/10.1038/s41588-018-0193-x Zhou X., Im H., and Lee S., 2019, CORE GREML: Estimating covariance between random effects in linear mixed models for genomic analyses of complex traits, bioRxiv, 2019: 853515. https://doi.org/10.1101/853515 Zhou X., Im H., and Lee S., 2020, CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses, Nature Communications, 11: 4203. https://doi.org/10.1038/s41467-020-18085-5 Zhu H., and Zhou X., 2020, Statistical methods for SNP heritability estimation and partition: A review, Computational and Structural Biotechnology Journal, 18: 1557-1568. https://doi.org/10.1016/j.csbj.2020.06.011 Zhu Z., Bakshi A., Vinkhuyzen A.A., Hemani G., Lee S.H., Nolte I.M., van Vliet-Ostaptchouk J.V., Snieder H., The LifeLines Cohort Study, Esko T., Milani L., Magi R., Metspalu A., Hill W.G., Weir B.S., Goddard M.E., Visscher P.M., and Yang J., 2015, Dominance genetic variation contributes little to the missing heritability for human complex traits, The American Journal of Human Genetics, 96(3): 377-385. https://doi.org/10.1016/j.ajhg.2015.01.001
RkJQdWJsaXNoZXIy MjQ4ODYzNA==