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As a consequence, these models incorporated kinship and genotypic information that not only permitted to account for heterogeneity of allelic frequencies, but also to include individuals with missing genotypes at some or all loci without the need for previous imputation.
Pilot participants with inconsistent calls across methods were assigned 'no call' at the SNP, which resulted in 2 missing genotypes at mt204 and 1 at mt228.
We then removed individuals that were missing genotypes at > 15% of the SNPs.
In our implementation, an individual with missing genotypes at one SNP is randomly assigned to one of the child nodes.
The cluster close to the origin contained the grandfather (who had missing genotypes at both SNPs in the 10K data), the F2 individuals with missing genotypes at both SNPs in the 10K data and the parents from each family that had missing genotypes at both SNPs in the 10K data.
For allelic differences between populations, we included only the 70 date palm cultivars and allowed a maximum of 15 missing genotypes at a given SNP position.
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A total of 58 CD patients (6.6%) could not be allocated to any of the CD subgroups because of missing genotypes for at least one of the determining SNPs.
Moreover, 39 HC (10.6%) were not allocated to a control cluster because of missing genotypes in at least one of the best determining SNPs, when dropped down the control SNP tree.
Class (5) probably had a high rate of true null alleles because we had data for multiple offspring and only included SNPs based on missing genotypes when at least five individuals had missing genotypes.
In addition to this expected pattern, we also found such variants represented as typical SNPs (and not indels), but with missing genotypes present at one locus instead of a deletion state.
In contrast, in LDMIP, conditional probabilities of the missing genotypes, given all observed genotypes at locus j and linked loci, that are computed approximately by iterative peeling and combine both linkage and LD information, are used to impute genotypes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com