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... blocks and strong LD between the SNPs and their neighboring SNPs in each block. Model selection and estimation of HMMparameters First, we used the K-Nearest neighbor method proposed by the R package =-=[29]-=- to impute the missing genotypes 0.5 1 1.5 2 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 μ11 (1) FN R υ1=0 0.5 1 1.5 2 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 μ11 (1) FN R υ1=0.15 0.5 ...

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...y pruning with Plink (window size = 50 SNPs, shift = of 5 SNPs at each step and threshold correlation coefficient of 0.2) [36]. Missing genotypes were imputed with weighted k-Nearest-Neighbors method =-=[37]-=-. SNPs are considered attached to a gene if they are located within a distance of 20 kb around it. The curated dataset to analyze comprises 16514 genes. For each gene and each subject, a Rasch-based m...