Functions to test genetic associations between SNPs and a
continuous/dichotomous trait using family data, and to make
genome-wide p-value plot and QQ plot.

Genome-wide association/interaction analyses with family data
R(>= 2.9.0), geepack, survival, methods, nlme, lattice
Functions for genome-wide association analyses and
genome-wide interaction analyses on a continuous/dichotomous
trait using family data, and for making genome-wide p-value
plot and QQ plot.

Genome-wide association/interaction analysis and rare variant
analysis with family data
Functions for genome-wide association/interaction analysis
and rare variant analysis on a continuous/dichotomous trait
using family data, and for making genome-wide p-value plot and
QQ plot.

Genome-Wide Association/Interaction Analysis and Rare Variant
Analysis with Family Data
Functions for genome-wide association/interaction analysis and rare variant analysis on a continuous/dichotomous trait using family data, and for making genome-wide p-value plot and QQ plot.

Exact Hardy-Weinburg testing for Genome Wide Association Studies
Ian Painter, GENEVA project, University of Washington
This package contains a function to do exact
Hardy-Weinburg testing (using Fisher's test) for SNP genotypes
as typically obtained in a Genome Wide Association Study
(GWAS).

Identifying Significant SNPs in Genome Wide Association Studies
(GWAS) via Clustering
Yan Xu, Li Xing, Jessica Su, Xuekui Zhang<UBC.X.Zhang@gmail.com>, Weiliang Qiu <Weiliang.Qiu@gmail.com>
stats, snpStats, methods, rootSolve, limma
Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) <DOI:10.1038/s41598-019-50229-6>.

Nonlocal Prior Based SNP Selection Tool for Genome-Wide
Association Studies
c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nisanyal@ucsd.edu"))
Performs variable selection and prediction with data from Genome-wide association studies (GWAS) using non-local prior based Bayesian general linear model as described in Sanyal et al. (2017) [submitted to Bioinformatics].