FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995188250> ?p ?o ?g. }

• W2995188250 abstract "Abstract Background The dimensionality of genomic information is limited by the number of independent chromosome segments ( M e ), which is a function of the effective population size. This dimensionality can be determined approximately by singular value decomposition of the gene content matrix, by eigenvalue decomposition of the genomic relationship matrix (GRM), or by the number of core animals in the algorithm for proven and young (APY) that maximizes the accuracy of genomic prediction. In the latter, core animals act as proxies to linear combinations of M e . Field studies indicate that a moderate accuracy of genomic selection is achieved with a small dataset, but that further improvement of the accuracy requires much more data. When only one quarter of the optimal number of core animals are used in the APY algorithm, the accuracy of genomic selection is only slightly below the optimal value. This suggests that genomic selection works on clusters of M e . Results The simulation included datasets with different population sizes and amounts of phenotypic information. Computations were done by genomic best linear unbiased prediction (GBLUP) with selected eigenvalues and corresponding eigenvectors of the GRM set to zero. About four eigenvalues in the GRM explained 10% of the genomic variation, and less than 2% of the total eigenvalues explained 50% of the genomic variation. With limited phenotypic information, the accuracy of GBLUP was close to the peak where most of the smallest eigenvalues were set to zero. With a large amount of phenotypic information, accuracy increased as smaller eigenvalues were added. Conclusions A small amount of phenotypic data is sufficient to estimate only the effects of the largest eigenvalues and the associated eigenvectors that contain a large fraction of the genomic information, and a very large amount of data is required to estimate the remaining eigenvalues that account for a limited amount of genomic information. Core animals in the APY algorithm act as proxies of almost the same number of eigenvalues. By using an eigenvalues-based approach, it was possible to explain why the moderate accuracy of genomic selection based on small datasets only increases slowly as more data are added." @default.
• W2995188250 created "2019-12-26" @default.
• W2995188250 creator A5008858833 @default.
• W2995188250 creator A5013776748 @default.
• W2995188250 creator A5037292871 @default.
• W2995188250 creator A5061338178 @default.
• W2995188250 date "2019-12-01" @default.
• W2995188250 modified "2023-10-16" @default.
• W2995188250 title "Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation study" @default.
• W2995188250 cites W1607760198 @default.
• W2995188250 cites W1928998639 @default.
• W2995188250 cites W1986084863 @default.
• W2995188250 cites W1999398820 @default.
• W2995188250 cites W2002600206 @default.
• W2995188250 cites W2008933956 @default.
• W2995188250 cites W2041000916 @default.
• W2995188250 cites W2061696836 @default.
• W2995188250 cites W2067715889 @default.
• W2995188250 cites W2068655069 @default.
• W2995188250 cites W2100145826 @default.
• W2995188250 cites W2101272289 @default.
• W2995188250 cites W2102087753 @default.
• W2995188250 cites W2117567387 @default.
• W2995188250 cites W2119212813 @default.
• W2995188250 cites W2123523713 @default.
• W2995188250 cites W2127601863 @default.
• W2995188250 cites W2132501280 @default.
• W2995188250 cites W2147295520 @default.
• W2995188250 cites W2158376448 @default.
• W2995188250 cites W2173001608 @default.
• W2995188250 cites W2289420281 @default.
• W2995188250 cites W2514359199 @default.
• W2995188250 cites W2546411501 @default.
• W2995188250 cites W2776574209 @default.
• W2995188250 cites W2912854488 @default.
• W2995188250 doi "https://doi.org/10.1186/s12711-019-0516-0" @default.
• W2995188250 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6907194" @default.
• W2995188250 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31830899" @default.
• W2995188250 hasPublicationYear "2019" @default.
• W2995188250 type Work @default.
• W2995188250 sameAs 2995188250 @default.
• W2995188250 citedByCount "21" @default.
• W2995188250 countsByYear W29951882502020 @default.
• W2995188250 countsByYear W29951882502021 @default.
• W2995188250 countsByYear W29951882502022 @default.
• W2995188250 countsByYear W29951882502023 @default.
• W2995188250 crossrefType "journal-article" @default.
• W2995188250 hasAuthorship W2995188250A5008858833 @default.
• W2995188250 hasAuthorship W2995188250A5013776748 @default.
• W2995188250 hasAuthorship W2995188250A5037292871 @default.
• W2995188250 hasAuthorship W2995188250A5061338178 @default.
• W2995188250 hasBestOaLocation W29951882501 @default.
• W2995188250 hasConcept C103545067 @default.
• W2995188250 hasConcept C104317684 @default.
• W2995188250 hasConcept C105795698 @default.
• W2995188250 hasConcept C106487976 @default.
• W2995188250 hasConcept C111030470 @default.
• W2995188250 hasConcept C11413529 @default.
• W2995188250 hasConcept C121332964 @default.
• W2995188250 hasConcept C135763542 @default.
• W2995188250 hasConcept C144024400 @default.
• W2995188250 hasConcept C149923435 @default.
• W2995188250 hasConcept C153209595 @default.
• W2995188250 hasConcept C154945302 @default.
• W2995188250 hasConcept C158693339 @default.
• W2995188250 hasConcept C159985019 @default.
• W2995188250 hasConcept C192562407 @default.
• W2995188250 hasConcept C22789450 @default.
• W2995188250 hasConcept C2908647359 @default.
• W2995188250 hasConcept C2992444039 @default.
• W2995188250 hasConcept C33923547 @default.
• W2995188250 hasConcept C41008148 @default.
• W2995188250 hasConcept C54355233 @default.
• W2995188250 hasConcept C62520636 @default.
• W2995188250 hasConcept C81917197 @default.
• W2995188250 hasConcept C86803240 @default.
• W2995188250 hasConceptScore W2995188250C103545067 @default.
• W2995188250 hasConceptScore W2995188250C104317684 @default.
• W2995188250 hasConceptScore W2995188250C105795698 @default.
• W2995188250 hasConceptScore W2995188250C106487976 @default.
• W2995188250 hasConceptScore W2995188250C111030470 @default.
• W2995188250 hasConceptScore W2995188250C11413529 @default.
• W2995188250 hasConceptScore W2995188250C121332964 @default.
• W2995188250 hasConceptScore W2995188250C135763542 @default.
• W2995188250 hasConceptScore W2995188250C144024400 @default.
• W2995188250 hasConceptScore W2995188250C149923435 @default.
• W2995188250 hasConceptScore W2995188250C153209595 @default.
• W2995188250 hasConceptScore W2995188250C154945302 @default.
• W2995188250 hasConceptScore W2995188250C158693339 @default.
• W2995188250 hasConceptScore W2995188250C159985019 @default.
• W2995188250 hasConceptScore W2995188250C192562407 @default.
• W2995188250 hasConceptScore W2995188250C22789450 @default.
• W2995188250 hasConceptScore W2995188250C2908647359 @default.
• W2995188250 hasConceptScore W2995188250C2992444039 @default.
• W2995188250 hasConceptScore W2995188250C33923547 @default.
• W2995188250 hasConceptScore W2995188250C41008148 @default.
• W2995188250 hasConceptScore W2995188250C54355233 @default.
• W2995188250 hasConceptScore W2995188250C62520636 @default.
• W2995188250 hasConceptScore W2995188250C81917197 @default.
• W2995188250 hasConceptScore W2995188250C86803240 @default.

• next