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

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*

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

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

The haplotypes of a 200 kb region in the human chromosome X terminal band (q28) were analyzed using the International HapMap Project PhaseII data, which had been collected for three analysis panels (YRI, CEU, and CHB+JPT). When multiple linkage disequilibrium blocks were encountered for a panel, the neighboring haplotypes that had crossover rate of 5% or more in the panel were combined to generate 'haploid' configurations. This resulted in 8, 7, and 5 'haploid' configurations for the panels of YRI, CEU, and CHB+JPT, respectively. The multiple sequence alignment of these 'haploids' was used for the calculation of allele-sharing distances and the subsequent principal coordinate analysis. Two 'haploids' in CEU and CHB+JPT were hypothesized as 'parental' in light of the observations that the successive recombinants of these haploids can model two other haploids in CEU and CHB+JPT, and that their configurations were consistent with those in YRI. This study demonstrates the utility of haplotype phylogeny in understanding population evolution.
Chromosomes, Human ; Haploidy ; Haplotypes ; HapMap Project ; Humans ; Light ; Linkage Disequilibrium ; Phylogeny ; Sequence Alignment

The allele frequencies of markers as well as linkage disequilibrium (LD) can be changed in cases due to the LD between markers and the disease allele, exhibiting spurious associations of markers. To identify the true association, classical statistical tests for dealing with confounders have been applied to draw a conclusion as to whether the association of variants comes from LD with the known disease allele. However, a more direct test considering LD using estimated haplotype frequencies may be more efficient. The null hypothesis is that the different allele frequencies of a variant between cases and controls come solely from the increased disease allele frequency and the LD relationship with the disease allele. The haplotype frequencies of controls are estimated using the expectation maximization (EM) algorithm from the genotype data. The estimated frequencies are applied to calculate the expected haplotype frequencies in cases corresponding to the increase or decrease of the causative or protective alleles. The suggested method was applied to previously published data, and several APOE variants showed association with Alzheimer's disease independent from the APOE epsilon4 variant, rs429358, regardless of LD showing significant simulated p-values. The test results support the possibility that there may be more than one common disease variant in a locus.
Alleles ; Alzheimer Disease* ; Apolipoproteins E* ; Gene Frequency ; Genotype ; Haplotypes ; Linkage Disequilibrium*

BACKGROUND: Lipoprotein lipase (LPL) gene polymorphisms have been found associated with coronary artery disease (CAD) and lipid levels, but their impact is less clearly established. The analysis of associations of LPL gene polymorphisms with CAD and lipid levels in Koreans was investigated. METHODS: Analysis of PvuII (intron 6), HindIII (intron 8), and Ser447-Ter (exon 9) polymorphisms of LPL gene were performed using restriction enzyme digestion of amplified DNA products and lipid levels were analyzed in healthy control subjects (n=228) and patients with CAD (n=166). RESULTS: PvuII, HindIII, and Ser447-Ter sites were in strong linkage disequilibrium. No statistical differences in the genotypic frequencies of PvuII, HindIII, and Ser447-Ter polymorphisms were observed between control and CAD groups. P2P2 genotype had higher triglyceride level in CAD group and lower HDL-cholesterol level in control group than the other genotypes (P1P1, P1P2). H2H2 genotype had higher triglyceride level in CAD group and lower HDL-cholesterol level in control group than the other genotypes (H1H1, H1H2). CONCLUSIONS: Genotypes of LPL PvuII, HindIII, and Ser447-Ter polymorphisms were not associated with CAD. Individuals with P2P2 and H2H2 genotypes, however, had higher triglyceride and lower HDL-cholesterol levels that is known to be the most commmon dyslipidaemia in CAD patients.
Coronary Artery Disease* ; Coronary Vessels* ; Digestion ; DNA ; Genotype ; Humans ; Linkage Disequilibrium ; Lipoprotein Lipase* ; Lipoproteins* ; Triglycerides

Next-generation sequencing (NGS) technology has become a trend in the genomics research area. There are many software programs and automated pipelines to analyze NGS data, which can ease the pain for traditional scientists who are not familiar with computer programming. However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. Here, we introduce a dockerized web application written in R using the Shiny platform to visualize pre-analyzed RNA sequencing and GWAS data. In addition, we have integrated a genome browser based on the JBrowse platform and an automated intermediate parsing process required for custom track construction, so that users can easily build and navigate their personal genome tracks with in-house datasets. This application will help scientists perform series of downstream analyses and obtain a more integrative understanding about various types of genomic data by interactively visualizing them with customizable options.
Dataset ; Genome ; Genome-Wide Association Study ; Genomics ; Humans ; Linkage Disequilibrium ; Sequence Analysis, RNA

OBJECTIVETo investigate the relationship between haplotypes of multilocus markers and ankylosing spondylitis (AS).

METHODSFive families with AS were recruited from Shanghai area. Eleven microsatellite markers around D6S276 were analyzed by Linkage package and by Cyrillic package.

RESULTSFine linkage analysis showed the significant Lod score values with D6S276 was 3.8821, Lod score values with D6S1691 and D6S1618 near D6S276 were larger than 1.5. The crossover value in 5 pedigrees was 14%. The haplotype analysis showed that the regions between D6S1691 and D6S1618 were associated with AS.

CONCLUSIONThe regions of D6S1691-D6S276-D6S1618 may harbor a susceptible gene of AS. The specific haplotypes of different pedigrees may play an important role in the presymptomatic diagnosis for AS.

Female ; Haplotypes ; genetics ; Humans ; Linkage Disequilibrium ; genetics ; Male ; Pedigree ; Spondylitis, Ankylosing ; genetics

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.

Alzheimer Disease ; genetics ; Chromosome Mapping ; Confidence Intervals ; Genetic Predisposition to Disease ; genetics ; Humans ; Linkage Disequilibrium ; Mutation