title: Rare high-impact disease variants: properties and identifications.
abstract: Although many genome-wide association studies have been performed, the identification of disease polymorphisms remains important. It is now suspected that many rare disease variants induce the association signal of common variants in linkage disequilibrium (LD). Based on recent development of genetic models, the current study provides explanations of the existence of rare variants with high impacts and common variants with low impacts. Disease variants are neither necessary nor sufficient due to gene-gene or gene-environment interactions. A new method was developed based on theoretical aspects to identify both rare and common disease variants by their genotypes. Common disease variants were identified with relatively small odds ratios and relatively small sample sizes, except for specific situations in which the disease variants were in strong LD with a variant with a higher frequency. Rare disease variants with small impacts were difficult to identify without increasing sample sizes; however, the method was reasonably accurate for rare disease variants with high impacts. For rare variants, dominant variants generally showed better Type II error rates than recessive variants; however, the trend was reversed for common variants. Type II error rates increased in gene regions containing more than two disease variants because the more common variant, rather than both disease variants, was usually identified. The proposed method would be useful for identifying common disease variants with small impacts and rare disease variants with large impacts when disease variants have the same effects on disease presentation.
authors.affiliation: Natural Science Research Institute,Yonsei University,134 Shinchon-Dong,Seodaemun-Gu,Seoul, 120-749,Korea.
authors.forename: Leeyoung
authors.initials: L
authors.lastname: Park
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI),Seoul National University College of Medicine,Seoul 110-799,Korea.
authors.forename: Ju Han
authors.initials: JH
authors.lastname: Kim
mesh_terms: D005787:Gene Frequency; D060005:Genotyping Techniques / Q000379:methods*; D006801:Humans; D016013:Likelihood Functions; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D019683:Penetrance; D011110:Polymorphism, Genetic; D035583:Rare Diseases / Q000235:genetics*