Abstract
BackgroundLinkage disequilibrium (LD) is commonly measured based on the squared coefficient of correlation left({r}^{2}right) between the alleles at two loci that are carried by haplotypes. LD can also be estimated as the {r}^{2} 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 {r}^{2} for a crossbred population (F1) can be estimated using genotype data. The parental lines of the crossbred (F1) can be purebred or crossbred.MethodsWe 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 {r}^{2} computed from unphased genotype data is expected to be identical to the {r}^{2} 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 {r}^{2} estimated using unphased genotype versus haplotype data in stochastic simulation.ResultsOur findings show that estimates of {r}^{2} 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 {r}^{2} value scenarios considered, and for both methods to estimate {r}^{2}, 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 {r}^{2} 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 {r}^{2} estimates using haplotype data and unphased genotype data decreased.ConclusionsOur 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.
Highlights
Linkage disequilibrium (LD) is commonly measured based on the squared coefficient of correlation r2 between the alleles at two loci that are carried by haplotypes
A common statistical measure of LD is the covariance between loci, D, which is equal to the excess of coupling phase haplotypes, Dij = Pij − PiPj, where Pij refers to the frequency of gametes that carry the pair of alleles i and j at the two loci, Pi and Pj refer to the frequency at locus i and locus j, respectively, and PiPj is the expected frequency of this haplotype under linkage equilibrium [6]
Haplotype‐based linkage disequilibrium we show that the expected LD based on r2 computed from the genotype frequencies of the crossbred population is identical to the true r2 based on haplotype frequencies, even when the inbreeding coefficients differ between the two loci
Summary
Linkage disequilibrium (LD) is commonly measured based on the squared coefficient of correlation r2 between the alleles at two loci that are carried by haplotypes. A common statistical measure of LD is the covariance between loci, D , which is equal to the excess of coupling phase haplotypes, Dij = Pij − PiPj , where Pij refers to the frequency of gametes (haplotypes) that carry the pair of alleles i and j at the two loci, Pi and Pj refer to the frequency at locus i and locus j , respectively, and PiPj is the expected frequency of this haplotype under linkage equilibrium [6] Another common measure is the squared coefficient of correlation ( r2 )
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