Sentence examples for using a genetic relationship from inspiring English sources
All logistic regression models included as covariates the first three principal components (PCs) from a principal-component analysis (PCA) performed with Genome-wide Complex Trait Analysis (GCTA) v.1.24.4 [ 61] using a genetic relationship matrix (GRM).
However, few studies using a genetic analysis to prove the relationship between DP and obesity have been carried out up to now.
Multivariate modelling using a genetic algorithm approach was used to assess relationships between DNA methylation and age, anthropometry, nutrient status and blood cell counts.
A key component of GCTA is its use of a genetic relationship matrix (GRM) to estimate pair-wise relatedness using a collection of genotypes within a dataset, based on additive genetic effects.
GCTA is based on a two-step method, where in the first step, all available SNPs are used to estimate a genetic relationship matrix (GRM) among all study participants.
For each time point ∼1.1 million Hapmap3 (31) SNPs (minor allele frequency > 0.01 and imputation info >0.8) were used to construct a genetic relationship matrix and SNP heritability (proportion of phenotypic variance explained by all SNPs) was estimated for the AA phenotype, fitting sex and 10 principle components as covariates.
We next used a genetic model to help determine the relationship between BMP4 and Wnt3a and confirm our pharmacological results.
The genetic and phenotypic correlations between each couple of traits were computed using two different genetic relationship matrices: one computed by using pedigree information only (PED model) and one computed by including both SNP and pedigree information jointly (SNPED model).
Relationships between animals were accounted for using the additive genetic relationship matrix.
In a mixed model framework, nhc for each haplotype were predicted for ungenotyped animals as well as for genotyped animals using the additive genetic relationship matrix.
The method of Gengler et al. [ 14, 15] uses the additive genetic relationship matrix in a mixed model setting to predict the gene contents of those animals not genotyped based on genotyped relatives.
