Within this chapter we introduce the basic PLINK functions for reading in data, applying quality control, and running association analyses. Three worked examples are provided to illustrate: data management and assessment of population substructure, association analysis of a quantitative trait, and qualitative or case-control association analyses
Background: PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (...
SNP genotypes formatted as ped and map files for analysis using PLINK v1.7 or later
Output files generated by PLINK association test for 78 samples in two groups (36 dead, 42 survivors...
In genome-wide association studies (GWAS), a wide variety of analysis tools have been designed, lead...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
PLINK is a versatile program which supports data management, quality control, and common statistical...
This protocol details the data quality assessment and control steps that are typically carried out d...
Objectives: Genome-wide association studies (GWAS) have become increasingly popular to identify asso...
This protocol describes how to perform basic statistical analysis in a population-based genetic asso...
Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a mult...
complete linkage agglomerative clustering, based on pairwise identity-by-state (IBS), was obtained w...
<p>Quantitative association studies (PLINK) for log(TG) (<i>P</i><10<sup>−6</sup>).</p
Background: PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (...
Background: PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (...
SNP genotypes formatted as ped and map files for analysis using PLINK v1.7 or later
Output files generated by PLINK association test for 78 samples in two groups (36 dead, 42 survivors...
In genome-wide association studies (GWAS), a wide variety of analysis tools have been designed, lead...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to ...
PLINK is a versatile program which supports data management, quality control, and common statistical...
This protocol details the data quality assessment and control steps that are typically carried out d...
Objectives: Genome-wide association studies (GWAS) have become increasingly popular to identify asso...
This protocol describes how to perform basic statistical analysis in a population-based genetic asso...
Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a mult...
complete linkage agglomerative clustering, based on pairwise identity-by-state (IBS), was obtained w...
<p>Quantitative association studies (PLINK) for log(TG) (<i>P</i><10<sup>−6</sup>).</p
Background: PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (...
Background: PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (...
SNP genotypes formatted as ped and map files for analysis using PLINK v1.7 or later
Output files generated by PLINK association test for 78 samples in two groups (36 dead, 42 survivors...