Zobrazeno 1 - 10
of 61
pro vyhledávání: '"GREML"'
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Heritability and genetic correlation can be estimated from genome-wide single-nucleotide polymorphism (SNP) data using various methods. We recently developed multivariate genomic-relatedness-based restricted maximum likelihood (MG
Externí odkaz:
https://doaj.org/article/4fc565e0deb04703976500ec4dd8d233
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The rapid growth in genomic selection data provides unprecedented opportunities to discover and utilize complex genetic effects for improving phenotypes, but the methodology is lacking. Epistasis effects are interaction effects, and haplotype effects
Externí odkaz:
https://doaj.org/article/5da5cf666f1a4791a066c9407d30384f
Autor:
Andrea R. Waksmunski, Michelle Grunin, Tyler G. Kinzy, Robert P. Igo, Jonathan L. Haines, Jessica N. Cooke Bailey
Publikováno v:
BMC Medical Genomics, Vol 13, Iss 1, Pp 1-10 (2020)
Abstract Background Age-related macular degeneration (AMD) is a progressive retinal disease contributing to blindness worldwide. Multiple estimates for AMD heritability (h 2 ) exist; however, a substantial proportion of h 2 is not attributable to kno
Externí odkaz:
https://doaj.org/article/9564c35dac1847cea8b85695c2973ae7
Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships
Publikováno v:
De Vlaming, R, Slob, E A W, Groenen, P J F & Rietveld, C A 2022, ' Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships ', BMC Bioinformatics, vol. 23, 305, pp. 1-11 . https://doi.org/10.1186/s12859-022-04835-3
BMC Bioinformatics, 23(1):305. BioMed Central Ltd.
BMC Bioinformatics, 23:305, 1-11. BioMed Central
BMC Bioinformatics, 23(1):305. BioMed Central Ltd.
BMC Bioinformatics, 23:305, 1-11. BioMed Central
Funder: NIHR Cambridge BRC
BACKGROUND: Heritability and genetic correlation can be estimated from genome-wide single-nucleotide polymorphism (SNP) data using various methods. We recently developed multivariate genomic-relatedness-based restricte
BACKGROUND: Heritability and genetic correlation can be estimated from genome-wide single-nucleotide polymorphism (SNP) data using various methods. We recently developed multivariate genomic-relatedness-based restricte
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Publikováno v:
Genetics, vol 215, iss 2
Genetics
Genetics
We consider the problem of interpreting negative maximum likelihood estimates of heritability that sometimes arise from popular statistical models of additive genetic variation. These may result from random noise acting on estimates of genuinely posi
Autor:
Mirka Hintsanen, Ariel Knafo-Noam, Terho Lehtimäki, Christian Hakulinen, Liisa Keltikangas-Järvinen, Laura Pulkki-Råback, Olli T. Raitakari, Kateryna Savelieva, Marko Elovainio, Ilkka Seppälä, Henrik Dobewall
Background Genomic analysis of the child might offer new potential to illuminate human parenting. We examined whether offspring (G2) genome-wide genotype variation (SNPs) is associated with their mother's (G1) emotional warmth and intolerance, indica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cb22c7fd28f2ce85d2e5f40785837b
http://hdl.handle.net/10138/324793
http://hdl.handle.net/10138/324793