Quantitative trait loci (QTL) and their additive, dominance and epistatic effects play a critical role in complex trait variation. It is often infeasible to detect multiple interacting QTL due to main effects often being confounded by interaction effects. Positioning interacting QTL within a small region is even more difficult. We present a variance component approach nested in an empirical Bayesian method, which simultaneously takes into account additive, dominance and epistatic effects due to multiple interacting QTL. The covariance structure used in the variance component approach is based on combined linkage disequilibrium and linkage (LDL) information. In a simulation study where there are complex epistatic interactions between QTL, it is possible to simultaneously fine map interacting QTL using the proposed approach. The present method combined with LDL information can efficiently detect QTL and their dominance and epistatic effects, making it possible to simultaneously fine map main and epistatic QTL.
Chromosome Mapping ; Epistasis, Genetic ; Genetic Linkage ; Humans ; Linkage Disequilibrium ; Monte Carlo Method ; Quantitative Trait Loci ; genetics

An alternative way of constructing ancestral graphs, which is different from the coalescent-based approach, is proposed using population linkage disequilibrium (LD) data. The main difference from the existing method is the construction of the ancestral graphs based on variants instead of individual sequences. Therefore, the key of the proposed method is to use the order of allele ages in the graphs. Distinct from the previous age-estimation methods, allele ages are estimated from full haplotype information by examining the number of generations from the initial complete LD to the current decayed state for each two variants depending on the direction of LD decay between variants. Using a simple algorithmic procedure, an ancestral graph can be derived from the expected allele ages and current LD decay status. This method is different in many ways from previous methods, and, with further improvement, it might be a good replacement for the current approaches.
Alleles ; Family Characteristics ; Haplotypes ; Linkage Disequilibrium ; Recombination, Genetic

Approaches to the study of the genetic basis of common complex diseases and their clinical applications are considered. Monogenic Mendelian inheritance in such conditions is infrequent but its elucidation may help to detect pathogenic mechanisms in the more common variety of complex diseases. Involvement by multiple genes in complex diseases usually occurs but the isolation and identification of specific genes so far has been exceptional. The role of common polymorphisms as indicators of disease risk in various studies is discussed.
Genetic Diseases, Inborn ; genetics ; Genetic Predisposition to Disease ; Genetic Techniques ; Humans ; Inheritance Patterns ; Linkage Disequilibrium ; Models, Genetic ; Polymorphism, Genetic ; Risk Factors

UNLABELLEDTo introduce the application of a multifactor dimensionality reduction-genotype pedigree disequilibrium test (MDR-PDT) for detecting gene-gene interactions in the etiology of complex disease. A brief overview on the basic theory, implementing steps and features of MDR-PDT were described, and a practical research case was demonstrated to application of MDR-PDT in nuclear family studies. The MDR-PDT approach was the extension or development of conventional MDR method which could be used for detecting gene-gene interactions in families of diverse structure.

CONCLUSIONMDR-PDT was a new nonparametric and model-free method which might use additional family members in the nuclear families and had a good power to identify gene-gene interactions.

With the rapid development of human genome project, increased genetic and population-based association studies are focused on the identification of the underlying susceptibility genes and contributions from gene-environment interaction to common complex diseases. Whole-genome association study with high-density single nucleotide polymorphisms is one of the most important milestones in that process. However, problems still exist in study design, data processing, and results interpretation. Large-scale cohort study or population-based case-control design with sufficient statistical power, new approaches to assess the gene-gene and gene-environment interactions, as guarantee of the consistency and replicability of these researches are crucial in the exploration of the causes of these common complex diseases.
Genetic Markers ; Genetic Predisposition to Disease ; Genetics, Population ; Humans ; Linkage Disequilibrium ; Molecular Epidemiology ; Phenotype

BACKGROUND: TAP1 and TAP2 are two ABC transporter genes located within the class II region of the human MHC. Their protein products form a heterodimer whose function is to transport peptides from the cytoplasm into the endoplasmic reticulum. This study was performed to examine the polymorphism of TAP genes and the distribution of HLA-TAP haplotypes in the Korean population through family analysis. METHODS: The subjects used in this study were 50 healthy Korean families consisting of 233 individuals. TAP1 (codons 333 and 637) and TAP2 (codons 379, 565, 577, 651, 665, and 687) typings were carried out by the PCR-restriction fragment length polymorphism (RFLP) method. HLA-DRB1 and DQB1 genotyping results from a previous study were used for HLA-TAP haplotype analysis. RESULTS: The number (gene frequency) of TAP1 and TAP2 alleles detected were 3 for TAP1 (A 81.5%, B 17.0%, and C 1.5%) and 8 for TAP2 (A1 32.0%, A2 12.5%, B 34.0%, Bky2 6.5%, C 7.0%, D 3.0%, E 4.5%, and G 0.5%). Eleven TAP1-TAP2 haplotypes were observed with frequency 1%, among which 4 haplotypes (A-B, B-A1, A-Bky2, and C-E) showed weak but significant positive linkage disequilibrium (P<0.05). When DRB1-DQB1 haplotypes were extended to TAP1 and TAP2 loci, much diversification of haplotypes was observed: 19 different DRB1- DQB1 haplotypes formed 58 different haplotypes extended to TAP1 and TAP2 loci. These results add more evidence to the view that recombination hotspot is present within and around TAP gene region. CONCLUSION: The allele frequencies of TAP1 and TAP2 genes and the distribution of TAP1-TAP2 and HLA-TAP haplotypes were studied in Koreans based on a family study.
Alleles ; Cytoplasm ; Endoplasmic Reticulum ; Gene Frequency ; Haplotypes* ; HLA-DRB1 Chains ; Humans ; Linkage Disequilibrium ; Peptides ; Recombination, Genetic

Most common diseases are caused by multiple genetic and environmental factors. Among the genetic factors, single nucleotide polymorphisms (SNPs) are common DNA sequence variations in individuals and can serve as important genetic markers. Recently, investigations of gene-based and whole genome-based SNPs have been applied to association studies for marker discovery. However, SNPs are so population-specific that the association needs to be verified. Fifty-five genes and 384 SNPs were selected based on association with disease. Genotypes of 337 SNPs in candidate genes were determined using Illumina Sentrix Array Matrix (SAM) chips by an allelespecific extension method in 364 unrelated Korean individuals. Allelic frequencies of SNPs were compared with those of other populations obtained from the International HapMap database. Minor allele frequencies, linkage disequilibrium blocks, tagSNPs, and haplotypes of functional candidate SNPs in 55 genetic disease-associated genes were provided. Our data may provide useful information for the selection of genetic markers for genebased genetic disease-association studies of the Korean population.
Base Sequence ; Gene Frequency ; Genetic Markers ; Genotype ; Haplotypes ; HapMap Project ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide*

PURPOSE: Single-nucleotide polymorphism (SNP) markers within LIN28B have been reported to be related to the timing of pubertal growth. However, no study has investigated the frequency of genetic markers in girls with precocious puberty (PP) or early puberty (EP). This study aimed to determine the frequency of putative genetic markers in girls with PP or EP. METHODS: Genomic DNAs were obtained from 77 and 109 girls that fulfilled the criteria for PP and EP, respectively. The controls in this study were 144 healthy volunteers between 20 and 30 years of age. The haplotypes were reconstructed using 11 SNPs of LIN28B, and haplotype association analysis was performed. The haplotype frequencies were compared. Differences in the clinical and laboratory parameters were analyzed according to the haplotype dosage. RESULTS: Eleven SNPs in LIN28B were all located in a block that was in linkage disequilibrium. The haplotype could be reconstructed using 2 representative SNPs, rs4946651 and rs369065. The AC haplotype was less frequently observed in the PP group than in the controls (0.069 vs. 0.144, P=0.010). The trend that girls with non-AC haplotypes tended to have earlier puberty onset (P=0.037) was illustrated even in the EP+PP patient group by Kaplan-Meier analysis. CONCLUSION: The results of the present study showed that non-AC haplotypes of LIN28B had a significant association with PP in girls.
DNA ; Genetic Markers ; Haplotypes ; Humans ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide ; Puberty ; Puberty, Precocious

OBJECTIVESTo formulate an equation for fine mapping of disease loci under complex conditions and determine the marker-disease distance in a specific case using this equation.

METHODSLewontin's linkage disequilibrium (LD) measure D' was used to formulate an equation for mapping disease genes in the presence of phenocopies, locus heterogeneity, gene-gene and gene-environment interactions, incomplete penetrance, uncertain liability and threshold, incomplete initial LD, natural selection, recurrent mutation, high disease allele frequency and unknown mode of inheritance. This equation was then used to determine the distance between a marker ( epsilon 4 within the apolipoprotein E gene, APOE) and Alzheimer's disease (AD) loci using published data.

RESULTSAn equation was formulated for mapping disease genes under the above conditions.If these conditions are present but ignored, then recombination fraction theta between marker and disease loci will be either overestimated or estimated with little bias. Therefore, an upper limit of theta can be obtained. AD has been found to be associated with the marker allele epsilon 4 in Africans, Asians, and Caucasians. This suggests that the AD- epsilon 4 allelic LD predates the divergence of peoples occurring 100 000 years ago. With the age of AD- epsilon 4 allelic LD so estimated, the maximal distance was calculated to be 23.2 kb (mean 5.8 kb).

CONCLUSIONS(1) A method is developed for LD mapping of susceptibility genes. (2) A mutation within the APOE gene itself, among others, is responsible for the susceptibility to AD, which is supported by recent evidence from studies using transgenic mice.

Understanding with greater clearness the characteristics of recombination within the human leucocyte antigen(HLA) is of deep significance to gaining an insight into the evolutionary process of shaping HLA allelic diversity and ultimately the human resistance against diverse pathogens. Family studies and statistical analysis of recombination have provided estimations of recombination fractions across the major histocompatibility complex and have identified the potential recombination hotspots. Other characteristics such as haplotype specificity and sequence motifs have been intensively studied. The recombination fractions, hotspots and other characters are reviewed in this paper.
Gene Frequency ; HLA Antigens ; genetics ; Haplotypes ; Humans ; Linkage Disequilibrium ; Recombination, Genetic ; genetics