SUMMARY: HapAnalyzer is an analysis system that provides minimum analysis methods for the SNP-based association studies. It consists of Hardy-Weinberg equilibrium (HWE) test, linkage disequilibrium (LD) computation, haplotype reconstruction, and SNP (or haplotype)-phenotype association assessment. It is well suited to a case-control association study for the unrelated population.
Case-Control Studies ; Haplotypes* ; Linkage Disequilibrium

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

OBJECTIVE: Categorical syndromes such as schizophrenia may represent complexes of many continuous psychological structural phenotypes along several dimensions of personality development/degeneration. The present study investigated the heritability and familiality of personality dimensions in Korean families with schizophrenic linkage disequilibrium (LD). METHODS: We recruited 179 probands (with schizophrenia) as well as, whenever possible, their parents and siblings. We used the Temperament and Character Inventory (TCI) to measure personality and symptomatic dimensions. The heritability of personality dimensions in a total of 472 family members was estimated using Sequential Oligogenic Linkage Analysis Routines (SOLAR). To measure familiality, we compared the personality dimensions of family members with those of 336 healthy unrelated controls using analysis of variance (ANOVA) analysis. RESULTS: Three of the seven TCI variables were significantly heritable and were included in subsequent analyses. The three groups (control, unaffected first-degree relative, case) were found to significantly differ from one another, with the expected order of average group scores, for all heritable dimensions. CONCLUSION: Despite several study limitations with respect to family recruitment and phenotyping, our results show that aberrations in several personality dimensions related to genetic-environment coactions or interactions may underlie the complexity of the schizophrenic syndrome.
Humans ; Linkage Disequilibrium* ; Parents ; Phenotype ; Schizophrenia ; Siblings ; Temperament*

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

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

Suitability of a specific population for linkage disequilibrium mapping studies of complex traits may be assessed by investigating the background linkage disequilibrium (BLD). We are unaware of studies for quantifying the degree of BLD in the Korean population, although the population may be a good candidate for mapping of complex trait genes through whole-genome association studies. It is useful to investigate the properties of genetic isolates in East Asia and to compare them to genetic isolates in Europe. We analyzed the extent of BLD in the Korean population using 735 microsatellite markers and compared the results with the Icelander population, which is one of the European expanded genetic isolates. The Korean population exhibited a level of BLD comparable with the Icelander population. The inference of population structure using the model with admixture showed that each individual has allele copies originating from K populations in equal proportions. Therefore, we believe that factors other than genetic distance, such as recent admixture, have not contributed to the level of BLD. Our results showed that the Korean population, which is an expanded population with no evidence of admixture, has a BLD level comparable with the Icelander population. Therefore, the Korean population can be used for fine mapping of either complex traits or monogenic diseases.
Microsatellite Repeats/*genetics ; Male ; Linkage Disequilibrium/*genetics ; Korea ; Humans ; *Heterozygote ; Female ; Chromosomes, Human/genetics ; Adult

Rheumatoid arthritis (RA) is a systemic inflammatory disease associated with both genetic and environmental factors. The DRB1 gene at the human leukocyte antigen (HLA) locus of chromosome 6p21.3 was the first genetic factor associated with RA to be identified in the 1980s; however, identification of causative genes other than those at the HLA locus has been challenging for geneticists because of the strong linkage disequilibrium in this locus and the non-Mendelian inheritance pattern of RA. Recent advances in high-throughput single nucleotide polymorphism genotyping technologies and bioinformatic analysis tools have facilitated the identification of positive associations of hundreds of genes with RA using family-based linkage analyses and genome wide association studies. Some of the RA associated genes at non-HLA loci are as follows: PADI4, PTPN22, STAT4, and TNFAIP3. In this paper, we describe the pathological mechanisms mediated by these genes. In addition, we review results of previous genetic studies of RA and future challenges in connecting the dots of missing heritability in the post-genome-wide association study era.
Arthritis, Rheumatoid* ; Genetics ; Genome-Wide Association Study ; Humans ; Inheritance Patterns ; Leukocytes ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide

OBJECTIVES: Previous studies on NOTCH4 gene and schizophrenia have not produced consistent results, and more studies with various ethnicities and populations were warranted. This study was performed with Korean population to find the role of the NOTCH4 gene in the development of schizophrenia. METHODS: 235 schizophrenics and 236 normal controls participated in the study. Two SNPs (-1725 A/G and -25 T/C) on the NOTCH4 gene were investigated. Genotyping was done by Taqman assay, and statistical analysis was done by contingency chi-square test for the allele and genotype frequencies and PowerMarker V3.0 for the haplotype. RESULTS: The two SNPs did not deviate from Hardy-Weinberg equilibrium in neither schizophrenics or normal controls. Two groups were not different in terms of allele and genotype distribution for both SNPs. Two SNPs were found to be in linkage disequilibrium. Haplotype analysis could not find an association between schizophrenia and these two SNPs. There was no association between the age at onset and the genotypes for both SNPs. CONCLUSION: We could not find any significant association between schizophrenia and the NOTCH4 gene in this Korean population. Although there are limitations in this study, this result supports the conclusion that the NOTCH4 gene is less likely to play a major role on the development of schizophrenia in the Asian population.
Alleles ; Asian Continental Ancestry Group ; Genotype ; Haplotypes ; Humans ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide* ; Schizophrenia*

BACKGROUND AND OBJECTIVES : The common methods of genetic association analysis are sensitive to population stratification, which may easily lead to a spurious association result. We used a regression approach based for linkage disequilibrium to perform a high resolution genetic association analysis. SUBJECTS AND METHODS : We applied a regression approach that can increase the resolution of quantitative traits that are related with cardiovascular diseases. The population data was composed of 543 males and 876 females without cardiovascular diseases, and it was obtained from a cardiovascular genome center. We used information about linkage disequilibrium between the marker and trait locus, and we added the covariates to model their effects. RESULTS : We found that this regression approach has the merit of analyzing genetic association based on linkage disequilibrium. In the analysis of the male group, the total cholesterol was significantly in linkage disequilibrium with CETP3 (p=0.002), and triglyceride was significantly in linkage disequilibrium with ACE8 (p=0.037), APOA1-1 (p=0.031), APOA5-1 (p=0.001), APOA5-2 (p=0.001) and LIPC4 (p=0.022). HDL-cholesterol was significantly in linkage disequilibrium with ACE7 (p=0.002), ACE8 (p=0.008), ACE10 (p=0.003), APOA5-2 (p=0.022), and MTP1 (p=0.001). In the female group, total cholesterol was significantly associated with APOA5-1 (p=0.020), APOA5-2 (p=0.001), and LIPC1 (p=0.016), and triglyceride was significantly associated with APOA5-1 (p=0.009), APOA5-2 (p=0.001), and CETP5 (p=0.049). LDL-cholesterol was significantly associated with APOA5-2 (p=0.004), and HDL-cholesterol was significantly associated with LIPC1 (p=0.004). CONCLUSION : We used a regression-based method to perform high resolution linkage disequilibrium analysis of a quantitative trait locus that's associated with lipid profiles. This method of using a single marker, as applied in this paper, was well suited for analysis of genetic association. Because of the simplicity, the method can also be easily performed by routine statistical analysis software.
Cardiovascular Diseases ; Cholesterol ; Female ; Genome ; Humans ; Linkage Disequilibrium* ; Male ; Quantitative Trait Loci* ; Triglycerides

In order to find the disease susceptibility gene in these complex genetic trait, there have been much interests in association study using single nucleotide polymorphism (SNP). Association study can be divided into two approaches candidate gene approach and linkage disequilibrium mapping. Recently, the candidate gene approach also has attracted much attention with the possiblity of whole genome wide scan being widely discussed. In genome wide scan, the amount of information that a locus can provide about the other adjacent loci becomes an important matter. When a locus was found not to be associated with a trait, it is questionable that closely situated adjacent loci can also be excluded as disease susceptible loci. To approach this problem theoretically, this study tried to find a method to calculate power in case-control association study, and aimed to investigate the influence of hypothesized inheritance model to the obtainable power. In addition, this study investigated the implication of negative association results in other adjacent loci. METHOD: The power of associatiation study was calculated applying non-centrality chi-distribution approximated by Poisson distribution. Using this method, the powers in each inheritance model were calculated in candidate gene approach. The power of chi-square test in linkage disequilibrium mapping was also algebraically obtained. This method was applied to simulation data to verify the validity of the method. RESULT: The proportion of phenocopy and the allele frequency of candidate locus exert substantial influence to the power of the study rather than penetrance matrix or inheritance model. The power in linkage disequilibrium mapping exponentially decreased according to the degree of linkage disequilibrium as anticipated, however, the marker allele frequency exert enormous influence to the power. Without any a prior knowledge about which marker allele had linked with disease susceptibility allele, the marker with equal distribution of each allele showed the highest power. CONCLUSION: The implication of negative results obtained in association study can only be determined by power analysis. In linkage disequilibrium mapping, if favorable power had been obtained, exclusion analysis of specific gene segment could be attempted. Taking into account the probable inheritance model and the marker allele frequency in designing association study, more efficient and rigorous study can be possible.
Alleles ; Case-Control Studies ; Disease Susceptibility ; Gene Frequency ; Genome ; Linkage Disequilibrium ; Penetrance ; Polymorphism, Single Nucleotide* ; Wills