Multivariable regression techniques for sparse polygenic risk models based on individual‐level genotype dataBackground Polygenic risk scores (PRS) evaluate the individual genetic liability to a certain trait and are expected to play an increasingly important role in clinical risk stratification. Most...
When using our individual-level tools, we constructed prediction models for 14 phenotypes from UK Biobank21,22, for which we have access to phenotype and genotype data via Application 21432. These phenotypes are: body mass index (data field 21001), forced vital capacity (3062), height50, impe...
However, for genotype files without rsids models, there are arguments that change it to varIDs.预测模型是带有两个表的SQLite数据库,权重和其他。权重表有列gene rsid varID ref_allele eff_allele weight,其中每个变体都有一个格式为chr_pos_ref_eff_build的ID。例如,snp rs115095900的变体ID为chr10_...
We assume that the SNP-exposure associations were derived from an independent dataset from the SNP-outcome data. In addition, the performance of our proposed HTE-testing methods was evaluated through simulations. We set up the simulation data following similar approaches discussed above, but only 40...
Methods that aim to estimate SNP heritability from individual genotype and phenotype data are limited by their ability to scale to Biobank-scale data sets and by the restrictions in access to individual-level data. These limitations have motivated the development of methods that only require summary...
We demonstrated the efficiency of IGG3 by simulation tests, which could rapidly merge genotypes in tens of thousands of large genotype chips (e.g. Affymetrix Genome-Wide Human SNP Array 6.0 and Illumina Human1m-duo) and in HapMap III project on an ordinary desktop computer. Availability: http...