ArticleGenetics, selection, evolution : GSE2020
Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome.
Article in Genetics, selection, evolution : GSE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- X-linked genes influence various complex traits in dairy cattle.BMC genomics · 2023Pooled it
- Deciphering autosomal and X-linked genetic effects of early growth traits in Murciano-Granadina goats via a multivariate animal model.Veterinary and animal science · 2026Article
- Genome-Wide Association Studies on the Autosomes and Chromosome X Uncover Genetic Basis of Reproductive Traits in Yorkshire Pigs.Animals : an open access journal from MDPI · 2026Article
- Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.The plant genome · 2025Article
- Genetic parameters and genome-wide association studies including the X chromosome for various reproduction and semen quality traits in Nellore cattle.BMC genomics · 2025Article
- Genetic and genomic analysis of reproduction traits in holstein cattle using SNP chip data and imputed sequence level genotypes.BMC genomics · 2024Article
- Prediction of resistance, virulence, and host-by-pathogen interactions using dual-genome prediction models.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Evaluation of heritability partitioning approaches in livestock populations.BMC genomics · 2024Article
- SIMplyBee: an R package to simulate honeybee populations and breeding programs.Genetics, selection, evolution : GSE · 2023Article
- High male specific contribution of the X-chromosome to individual global recombination rate in dairy cattle.BMC genomics · 2022Article
- Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms.Genetics, selection, evolution : GSE · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundX-chromosomal loci present different inheritance patterns compared to autosomal loci and must be modeled accordingly. Sexual chromosomes are not systematically considered in whole-genome relationship matrices although rules based on genealogical or marker information have been derived. Loci on the X-chromosome could have a significant contribution to the additive genetic variance, in particular for some traits such as those related to reproduction. Thus, accounting for the X-chromosome relationship matrix might be informative to better understand the architecture of complex traits (e.g., by estimating the variance associated to this chromosome) and to improve their genomic prediction. For such applications, previous studies have shown the benefits of combining information from genotyped and ungenotyped individuals.
resultsIn this paper, we start by presenting rules to compute a genomic relationship matrix (GRM) for the X-chromosome (G
conclusionsThis work shows theoretically and empirically that a pedigree-based relationship matrix built with rules specifically developed for the X-chromosome (S) matches the realized GRM for the X-chromosome. Therefore, applications that combine expected relationships and genotypes for markers on the X-chromosome should use S and G
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.