This page contains links to software that has resulted from our research.
Combining rare-variant tests of association
Reference: Greco B, Hainline A, Arbet J, Grinde K, Benitez A and Tintle NL (2015) "A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architecture" European journal of human genetics. To appear.
Testing for differences in metabotypes
Reference: Tintle NL, Newman J, Shearer G (2015) "A novel approach to identify optimal metabotypes of elongase and desaturase activities in prevention of acute coronary syndrome" Metabolomics. To appear.
Impact of genotype errors on rare variant tests of association
R version Software
Reference: Cook K*, Benitez A*, Fu C*, Tintle NL (2014) "Evaluating the impact of genotype errors on rare variant tests of association" In revision.
Testing genotype-phenotype association with duplicate genotype data
General test of independence
Reference: Tintle NL, Gordon D, McMahon F, and Finch SJ (2007) "Using duplicate genotyped data in genetic analyses: Testing association and estimating error rates." Statistical applications in genetics and molecular biology. 6:4. Full text.
Reference: Borchers B, Brown M, McLellan B, Bekmetjev A, and Tintle NL (2009) "Incorporating duplicate genotype data into linear trend tests of genetic association: Methods and cost-effectiveness." Statistical Applications in Genetics and Molecular Biology. 8:24. Full text.
Cost-effectiveness of duplicate genotyping
General test of independence Design Software
Reference: Tintle NL, Gordon D, Van Bruggen D, and Finch SJ (2009) "The cost effectiveness of duplicate genotyping for testing genetic association." Annals of Human Genetics. 73, 370-378.
Cost-effectiveness of reclassification sampling
Reference: Bekmetjev A , VanBruggen D , McLellan B , DeWinkle B , Lunderberg E , et al. 2012 The Cost-Effectiveness of Reclassification Sampling for Prevalence Estimation. PLoS ONE 7(2): e32058. doi:10.1371/journal.pone.0032058
Single Nucleotide Variant (polymorphism) set testing software (SNVset)
R package (PRELIMINARY VERSION: 2015-03-16)
Reference: Peterson, A., Spratt, J., and Tintle, N. “Incorporating prior knowledge in GWAS” in Genome-Wide Association Studies, ed. Cedric Gondro, Julius van der Werf, and Ben Hayes. Humana Press. To appear.