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Comparison of linkage disequilibrium estimated from genotypes versus haplotypes for crossbred populations.
Alemu, Setegn Worku; Bijma, Piter; Calus, Mario P L; Liu, Huiming; Fernando, Rohan L; Dekkers, Jack C M.
Afiliación
  • Alemu SW; AL Rae Centre for Genetics and Breeding, Massey University, 10 Bisley Drive, Hamilton, 3240, New Zealand. s.w.alemu@massey.ac.nz.
  • Bijma P; Animal Breeding and Genomics, Wageningen University and Research, 6700 AH, Wageningen, The Netherlands.
  • Calus MPL; Animal Breeding and Genomics, Wageningen University and Research, 6700 AH, Wageningen, The Netherlands.
  • Liu H; Department of Molecular Biology and Genetics, Aarhus University, 8830, Tjele, Denmark.
  • Fernando RL; Department of Animal Science, Iowa State University, Ames, IA, 50011, USA.
  • Dekkers JCM; Department of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Genet Sel Evol ; 54(1): 12, 2022 Feb 08.
Article en En | MEDLINE | ID: mdl-35135468
BACKGROUND: Linkage disequilibrium (LD) is commonly measured based on the squared coefficient of correlation [Formula: see text] between the alleles at two loci that are carried by haplotypes. LD can also be estimated as the [Formula: see text] between unphased genotype dosage at two loci when the allele frequencies and inbreeding coefficients at both loci are identical for the parental lines. Here, we investigated whether [Formula: see text] for a crossbred population (F1) can be estimated using genotype data. The parental lines of the crossbred (F1) can be purebred or crossbred. METHODS: We approached this by first showing that inbreeding coefficients for an F1 crossbred population are negative, and typically differ in size between loci. Then, we proved that the expected [Formula: see text] computed from unphased genotype data is expected to be identical to the [Formula: see text] computed from haplotype data for an F1 crossbred population, regardless of the inbreeding coefficients at the two loci. Finally, we investigated the bias and precision of the [Formula: see text] estimated using unphased genotype versus haplotype data in stochastic simulation. RESULTS: Our findings show that estimates of [Formula: see text] based on haplotype and unphased genotype data are both unbiased for different combinations of allele frequencies, sample sizes (900, 1800, and 2700), and levels of LD. In general, for any allele frequency combination and [Formula: see text] value scenarios considered, and for both methods to estimate [Formula: see text], the precision of the estimates increased, and the bias of the estimates decreased as sample size increased, indicating that both estimators are consistent. For a given scenario, the [Formula: see text] estimates using haplotype data were more precise and less biased using haplotype data than using unphased genotype data. As sample size increased, the difference in precision and biasedness between the [Formula: see text] estimates using haplotype data and unphased genotype data decreased. CONCLUSIONS: Our theoretical derivations showed that estimates of LD between loci based on unphased genotypes and haplotypes in F1 crossbreds have identical expectations. Based on our simulation results, we conclude that the LD for an F1 crossbred population can be accurately estimated from unphased genotype data. The results also apply for other crosses (F2, F3, Fn, BC1, BC2, and BCn), as long as (selected) individuals from the two parental lines mate randomly.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genet Sel Evol Asunto de la revista: BIOLOGIA / GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genet Sel Evol Asunto de la revista: BIOLOGIA / GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Francia