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Analysis of Fcgamma receptor haplotypes in rheumatoid arthritis: FCGR3A remains a major susceptibility gene at this locus, with an additional contribution from FCGR3B.

The Fcgamma receptors play important roles in the initiation and regulation of many immunological and inflammatory processes, and genetic variants (FCGR) have been associated with numerous autoimmune and infectious diseases. The data in rheumatoid arthritis (RA) are conflicting and we previously demonstrated an association between FCGR3A and RA. In view of the close molecular proximity with FCGR2A, FCGR2B and FCGR3B, additional polymorphisms within these genes and FCGR haplotypes were examined to refine the extent of association with RA. Biallelic polymorphisms in FCGR2A, FCGR2B and FCGR3B were examined for association with RA in two well characterized UK Caucasian and North Indian/Pakistani cohorts, in which FCGR3A genotyping had previously been undertaken. Haplotype frequencies and linkage disequilibrium were estimated across the FCGR locus and a model-free analysis was performed to determine association with RA. This was followed by regression analysis, allowing for phase uncertainty, to identify the particular haplotype(s) that influences disease risk. Our results reveal that FCGR2A, FCGR2B and FCGR3B were not associated with RA. The haplotype with the strongest association with RA susceptibility was the FCGR3A-FCGR3B 158V-NA2 haplotype (odds ratio 3.18, 95% confidence interval 1.13-8.92 [P = 0.03] for homozygotes compared with all genotypes). The association was stronger in the presence of nodules (odds ratio 5.03, 95% confidence interval 1.44-17.56; P = 0.01). This haplotype was also more common in North Indian/Pakistani RA patients than in control individuals, but not significantly so. Logistic regression analyses suggested that FCGR3A remained the most significant gene at this locus. The increased association with an FCGR3A-FCGR3B haplotype suggests that other polymorphic variants within FCGR3A or FCGR3B, or in linkage disequilibrium with this haplotype, may additionally contribute to disease pathogenesis.

Antigens, CD↗

Discovery of novel flavin-containing monooxygenase 3 (FMO3) single nucleotide polymorphisms and functional analysis of upstream haplotype variants.

The flavin-containing monooxygenases (FMOs) are important for xenobiotic metabolism. FMO3, the predominant FMO enzyme in human adult liver, exhibits significant interindividual variation that is poorly understood. This study was designed to identify common FMO3 genetic variants and determine their potential for contributing to interindividual differences in FMO3 expression. FMO3 single nucleotide polymorphism (SNP) discovery was accomplished by resequencing DNA samples from the Coriell Polymorphism Discovery Resource. Population-specific SNP frequencies were determined by multiplexed, single-base extension using DNA from 201 Hispanic American (Mexican descent), 201 African American, and 200 White (northern European descent) subjects. Haplotypes were inferred and population frequencies estimated using PHASE version 2.1. Multiple site-directed mutagenesis was used to introduce inferred upstream haplotypes into an FMO3/luciferase construct for functional analysis in HepG2 cells. Sequence analysis revealed seven FMO3 upstream SNPs, 11 exon SNPs, and 22 intron SNPs. Five of the latter fell within consensus splice sites. A g.72G>T variant (E24D) is predicted to impact the structure of the Rossmann fold involved in FAD binding, whereas a g.11177C>A variant (N61K) is predicted to disrupt the secondary structure of a conserved membrane interaction domain. Seven common (>1%) promoter region haplotypes were inferred in one or more of the study populations that differed in estimated frequency among the groups. Haplotype 2 resulted in an 8-fold increase in promoter activity, whereas haplotypes 8 and 15 exhibited a near complete loss of activity. In conclusion, FMO3 promoter haplotype variants modulate gene function and probably contribute to interindividual differences in FMO3 expression.

Amino Acid Sequence↗

Recombinations in individuals homozygous by descent localize the Friedreich ataxia locus in a cloned 450-kb interval.

The locus for Friedreich ataxia (FRDA), a severe neurodegenerative disease, is tightly linked to markers D9S5 and D9S15, and analysis of rare recombination events has suggested the order cen-FRDA-D9S5-D9S15-qter. We report here the construction of a YAC contig extending 800 kb centromeric to D9S5 and the isolation of five new microsatellite markers from this region. In order to map these markers with respect to the FRDA locus, all within a 1-cM confidence interval, we sought to increase the genetic information of available FRDA families by considering homozygosity by descent and association with founder haplotypes in isolated populations. This approach allowed us to identify one phase-known recombination and one probable historic recombination on haplotypes from Réunion Island patients, both of which place three of the five markers proximal to FRDA. This represents the first identification of close FRDA flanking markers on the centromeric side. The two other markers allowed us to narrow the breakpoint of a previously identified distal recombination that is > 180 kb from D9S5 (26P). Taken together, the results place the FRDA locus in a 450-kb interval, which is small enough for direct search of candidate genes. A detailed rare cutter restriction map and a cosmid contig covering this interval were constructed and should facilitate the search of genes in this region.

Base Sequence↗

Genetic spatial structure of European common hamsters (Cricetus cricetus)--a result of repeated range expansion and demographic bottlenecks.

The spatial genetic structure of common hamsters (Cricetus cricetus) was investigated using three partial mitochondrial (mt) genes and 11 nuclear microsatellite loci. All marker systems revealed significant population differentiation across Europe. Hamsters in central and western Europe belong largely to two allopatric mitochondrial lineages south and northwest of the Carpathian and Sudetes. The southern group, 'Pannonia', comprises populations inside the Carpathian basin (Czech Republic, Hungary) while the second group, 'North', includes hamsters from Belgium, the Netherlands, France, and Germany. Isolation of the lineages is maintained by a combination of geographical and ecological barriers. Both main phylogeographical groups show signs of further subdivision. North is separated into highly polymorphic central German and less polymorphic western populations, which most likely split during late glacial expansion (15,000-10,000 bp). Clock estimates based on haplotype distributions predict a divergence of the two major lineages 85,000-147,000 bp. Expansion times fall during the last glaciation (115,000-10,000 bp) corroborating fossil data, which identify Cricetus cricetus as characteristic of colder climatic phases. Despite the allopatry of mt haplotypes, there is an overlap of nuclear microsatellite alleles between phylogeographical units. Although there are strong evidence that Pannonian hamsters have persisted inside the Carpathian basin over the last 50,000 years, genetic differentiation among European hamsters has mainly been caused by immigration from different eastern refugia. Possible source populations are likely to be found in the Ukrainian and the southern Russian plains--core areas of hamster distribution. From there, hamsters have repeatedly expanded during the Quaternary.

Animals↗

ADLAPH: A molecular haplotyping method based on allele-discriminating long-range PCR.

We present a method, called Allele-Discriminating Long and Accurate PCR Haplotyping (ADLAPH), for directly determining haplotypes from an extended genomic region. This method uses allele-discriminating primers in long-range PCR to amplify only one of the two chromosome homologues for the region of interest. Haplotypes are then determined from these phase-separated PCR fragments by conventional single nucleotide polymorphism (SNP) genotyping methods. This simple robust procedure makes it practical for high-throughput haplotyping of unrelated individuals, and potentially allows direct observation of haplotype information for up to 40 kb or more. We demonstrate the feasibility of this molecular haplotyping procedure by generating apolipoprotein E (APOE) haplotypes from 100 unrelated subjects.

Alleles↗

Signal transducer and activator of transcription 6 haplotypes and asthma in the Indian population.

In this paper, we report for the first time the results of an investigation on the association of signal transducer and activator of transcription 6 (STAT6) with asthma in the Indian population. A novel polymorphic CA-repeat in the proximal promoter region [R1] and a previously identified CA-repeat in the 5'-untranslated region [R3] were genotyped, and haplotypes [R1_R3] were generated using PHASE software. The 16 repeat allele at the R1 locus was positively associated (P = 0.01) with asthma. The 15 and 16 repeat alleles at the R3 locus were positively (P < 10(-4)) and negatively (P < 10(-5)) associated with asthma, respectively. Further, the 17_15 (P = 0.0031) and 16_15 (P = 0.001) haplotypes were found to be positively associated with asthma, whereas 17_14, 24_16, and 23_16 were negatively associated (P < 10(-5)). It appears that the R3 and R1 loci together play a bigger role in asthma than either of them alone, and the R3 locus has a larger effect than the R1 locus. Although alleles at the R1 locus appeared to be associated with total serum immunoglobulin E level, the genotypes showed no association, and the R3 locus showed no effect. As no exonic variants of STAT6 are known as yet, repeat polymorphisms in the regulatory regions and their haplotypes could be important in deciphering the genetic role of STAT6 in asthma and atopy.

Adult↗

Association of Phosphodiesterase 4D with ischemic stroke: a population-based case-control study.

BACKGROUND AND PURPOSE: The Phosphodiesterase 4D (PDE4D) gene was reported recently to be associated with ischemic stroke in an Icelandic population. The association was found predominately with large vessel and cardioembolic stroke. However, 2 recent reports were unable to confirm this association, although a trend toward association with cardioembolic stroke was reported. None of the reports included significant proportions of blacks. We tested for genotype and haplotype association of polymorphisms of the PDE4D gene with ischemic stroke in a population-based, biracial, case-control study. METHODS: A total of 357 cases of ischemic stroke and 482 stroke-free controls from the same community were examined. Single nucleotide polymorphisms (SNPs) were chosen based on significant associations reported previously. Linkage disequilibrium (LD), SNP, and haplotype association analysis was performed using PHASE 2.0 and Haploview 3.2. RESULTS: Although several univariate associations were identified, only 1 SNP (rs2910829) was found to be significantly associated with cardioembolic stroke among both whites and blacks. The rs152312 SNP was associated with cardioembolic stroke among whites after multiple comparison corrections. The same SNP was not associated with cardioembolic stroke among blacks. However, significant haplotype association was identified for both whites and blacks for all ischemic stroke, cardioembolic stroke, and stroke of unknown origin. Haplotype association was identified for small vessel stroke among whites. CONCLUSIONS: PDE4D is a risk factor for ischemic stroke and, in particular, for cardioembolic stroke, among whites and blacks. Further study of this gene is warranted.

3',5'-Cyclic-AMP Phosphodiesterases↗

Haplotype reconstruction from SNP alignment.

In this paper, we describe a method for statistical reconstruction of haplotypes from a set of aligned SNP fragments. We consider the case of a pair of homologous human chromosomes, one from the mother and the other from the father. After fragment assembly, we wish to reconstruct the two haplotypes of the parents. Given a set of potential SNP sites inferred from the assembly alignment, we wish to divide the fragment set into two subsets, each of which represents one chromosome. Our method is based on a statistical model of sequencing errors, compositional information, and haplotype memberships. We calculate probabilities of different haplotypes conditional on the alignment. Due to computational complexity, we first determine phases for neighboring SNPs. Then we connect them and construct haplotype segments. Also, we compute the accuracy or confidence of the reconstructed haplotypes. We discuss other issues, such as alternative methods, parameter estimation, computational efficiency, and relaxation of assumptions.

Base Sequence↗

Haplotypic variation in MRE11, RAD50 and NBS1 and risk of non-Hodgkin's lymphoma.

The MRE11-RAD50-NBS1 tri-complex is involved in the cellular response to DNA double strand breaks, detecting DNA damage, activating cell cycle checkpoints and apoptosis. Defects in members of the tri-complex are linked to increased chromosomal instability and in lymphoma predisposition. Using genotyping data from six intronic or gene flanking variants in MRE11, five in NBS1 and six in RAD50 in 461 non-Hodgkin's lymphoma cases and 461 age, sex matched controls, Phase 2.1 was used to impute haplotypes for each of these genes. It was observed that the average variant density (12 kb) was dense enough to capture the majority of genetic variation for each locus examined, encoded by four or five common haplotypes. There were no significant differences in allele or genotype frequency, global haplotype distribution between the cases and control, nor effect for individual haplotypes when analysed by unconditional logistic regression for either RAD50 or NBS1. A protective effect against follicular lymphoma was seen for the MRE11 rs601341 variant, the homozygous T allele being associated with an odds ratio (OR) of 0.50, 95% confidence interval (95% CI) 0.26 - 0.97, while a protective effect was seen for the MRE11 haplotype GCTCA (OR 0.72, 95% CI 0.53 - 0.97) for diffuse large B-cell lymphoma. While reproduction of this data in other datasets is indicated, the results are indicative for a role for MRE11 in non-Hodgkin's lymphoma.

Acid Anhydride Hydrolases↗

Vitamin D binding protein gene and genetic susceptibility to type 2 diabetes mellitus in a Polish population.

Polymorphisms of the genes involved in the metabolism of vitamin D may predispose to type 2 diabetes mellitus (T2DM). For example, there is evidence suggesting that vitamin D binding protein (DBP) amino acid variants at codons 416 (aspartic acid-->glutamic acid) and 420 (threonine-->lysine) may affect genetic susceptibility to T2DM. The aims of this study are: (1) to determine the allele, genotype, haplotype and haplotype combination frequencies of those DBP amino acid variants in a Polish population and (2) to examine their role in the genetic susceptibility to T2DM in a Polish population. Overall 393 individuals were included in this study: 231 T2DM patients and 162 controls. The sequence of DBP exon 11, which contains both examined variants, was amplified by polymerase chain reaction (PCR). Alleles and genotypes were determined based on electrophoresis of the DNA digestion products by specific restriction enzymes HaeIII and StyI. Since variants of DBP were in very strong linkage disequilibrium, haplotypes could be assigned to phase-unknown individuals. Differences in distributions between the groups were examined by chi(2) test. At codon 416 the frequency of Asp/Glu alleles was 44.6/55.4% in T2DM patients and 40.7/59.3% in controls (chi(2)=2.1, d.f.=1, P=0.28). At codon 420 the frequency of Thr/Lys alleles were 69.4/30.6% and 71.6/28.4%, (chi(2)=0.41, d.f.=1, P=0.52), respectively. Distribution of genotypes, haplotypes and haplotype combinations were similar in both groups. In conclusion, the frequency of amino acid variants at codons 416 and 420 of vitamin D binding protein gene in a Polish population is similar to other Caucasian populations, but differs significantly from other races. No evidence was found for an association between DBP frequent polymorphisms and T2DM in this population.

Age of Onset↗

Genetic variation in COL17A1 and the development of bullous pemphigoid.

BACKGROUND: Bullous pemphigoid (BP) is an autoimmune blistering disease of the skin characterized by autoantibody attack on collagen XVII. OBJECTIVES: To characterize the genetic complexity of COL17A1, the gene which encodes for the autoantigen collagen XVII. The data will be used to determine whether there is an association between polymorphisms and haplotypes of COL17A1 and genetic susceptibility to development of BP. METHODS: The genetic complexity in COL17A1 was deduced by screening and then sequencing the gene. Haplotypes were constructed from the resulting polymorphisms using the statistical programme PHASE. The linkage disequilibrium (D') between the polymorphisms was deduced from haplotypic data using the statistical programme GOLD. Association of the polymorphisms and haplotypes was tested for, in a cohort of BP patients and controls. RESULTS: Screening of COL17A1 for genetic variation was carried out in 29 individuals of North European caucasoid origin, and it revealed 19 single-nucleotide polymorphisms in approximately 14.7 kb of sequence. These variants resulted in 60 different haplotypes in 191 individuals, of which 13 occurred above 1% in the population. D' between the variants was found to be extensive, have a low correlation with physical distance and to extend over 33.8 kb. No association was found with any of the polymorphisms or haplotypes and development of BP, when tested for, in a cohort of patients and controls. CONCLUSION: This study provides an extensive description of the genetic variation in COL17A1 and shows no association of the genetic variants with susceptibility to BP.

Autoantigens↗

Direct analysis of unphased SNP genotype data in population-based association studies via Bayesian partition modelling of haplotypes.

We describe a novel method for assessing the strength of disease association with single nucleotide polymorphisms (SNPs) in a candidate gene or small candidate region, and for estimating the corresponding haplotype relative risks of disease, using unphased genotype data directly. We begin by estimating the relative frequencies of haplotypes consistent with observed SNP genotypes. Under the Bayesian partition model, we specify cluster centres from this set of consistent SNP haplotypes. The remaining haplotypes are then assigned to the cluster with the "nearest" centre, where distance is defined in terms of SNP allele matches. Within a logistic regression modelling framework, each haplotype within a cluster is assigned the same disease risk, reducing the number of parameters required. Uncertainty in phase assignment is addressed by considering all possible haplotype configurations consistent with each unphased genotype, weighted in the logistic regression likelihood by their probabilities, calculated according to the estimated relative haplotype frequencies. We develop a Markov chain Monte Carlo algorithm to sample over the space of haplotype clusters and corresponding disease risks, allowing for covariates that might include environmental risk factors or polygenic effects. Application of the algorithm to SNP genotype data in an 890-kb region flanking the CYP2D6 gene illustrates that we can identify clusters of haplotypes with similar risk of poor drug metaboliser (PDM) phenotype, and can distinguish PDM cases carrying different high-risk variants. Further, the results of a detailed simulation study suggest that we can identify positive evidence of association for moderate relative disease risks with a sample of 1,000 cases and 1,000 controls.

Algorithms↗

VEGF gene polymorphisms and susceptibility to rheumatoid arthritis.

OBJECTIVES: To investigate polymorphisms of the VEGF gene in patients with rheumatoid arthritis (RA), their relationship to clinical features and the radiographic progression of joint disease. METHODS: One hundred and forty patients with RA and 149 healthy unrelated controls were recruited. We examined four polymorphisms of the VEGF gene which are reported to be associated with production of vascular endothelial growth factor (VEGF), using polymerase chain reaction (PCR) restriction fragment length polymorphism assay and amplification refractory mutation system (ARMS) PCR. Haplotypes were predicted by Bayesian algorithm using the Phase program. RESULTS: All four polymorphisms were in Hardy-Weinberg equilibrium in both patients and controls. The frequency of the 936 T allele, which has been associated with lower production of VEGF, was significantly increased in RA patients compared with controls (22.7 vs 13.4%, P = 0.002). The frequencies of two haplotypes (CGCT and AAGT) which were predicted using the Phase program were significantly increased in RA patients compared with controls [33 vs 14%, odds ratio (OR) 2.636, 95% confidence interval (CI) 1.38-5.04 for CGCT; 17 vs 6%, OR 3.08, 95% CI 1.20-7.92 for AAGT]. The carriers of the susceptible haplotypes in RA patients had a younger age at disease onset but did not show a difference in the progression rate of radiographic joint destruction. CONCLUSIONS: Our data suggest that the VEGF gene may play a role in the development of RA

Adult↗

Clone-based systematic haplotyping (CSH): a procedure for physical haplotyping of whole genomes.

We present a novel methodology to determine the phase of single-nucleotide polymorphisms (SNPs) on a chromosome, which we term clone-based systematic haplotyping (CSH). The CSH procedure is based on separating the allelic chromosomes of a diploid genome by fosmid/cosmid cloning, and subsequent SNP typing of 96 clone pools, each representing approximately 10% of the genome. The pools are screened by PCR for the sequence of interest, followed by SNP typing on the PCR products using the GOOD assay. We demonstrate that by CSH, the haplotype of SNPs separated by more than 50 kilobases can definitely be assigned. We propose this method as being suitable for constructing maps of ancestral haplotypes, analysis of complex diseases, and for diagnosis of rare defects in which the molecular haplotype is crucial. In addition, by amplifying the initial DNA by many orders of magnitude, the original DNA resource is effectively immortalized, enabling the haplotyping of hundreds of thousands of SNPs per individual.

Cloning, Molecular↗

Three polymorphisms but no disease-causing mutations in the proximal part of the promoter of the phenylalanine hydroxylase gene.

The proximal promoter region of the human phenylalanine hydroxylase (PAH) gene was analyzed for the presence of mutations in 122 European phenylketonuria (PKU) and hyperphenylalaninemia patients having altogether 187 uncharacterized mutant PAH alleles. This promoter fragment, which contained the most 5' transcription start site and about 300 bp upstream, was sequenced directly from polymerase-chain-reaction-amplified genomic DNA. No disease-causing mutations but three neutral nucleotide substitutions were found. A -195 T-to-C transition was present on 1% of 441 normal and 0.3% of 653 mutant chromosomes. All chromosomes that carried this transition and to which a restriction fragment length polymorphism (RFLP) haplotype had been assigned were of haplotype 1. A -71 G-to-A change and a +7 C-to-T change were always observed together and were found on 1% of 425 normal and 4% of 681 mutant chromosomes. In addition, these two transitions were found in seven heterozygote samples where the phase could not be established due to incomplete family samples. In individuals where RFLP haplotypes were known and phase could be established, these linked substitutions were associated with RFLP haplotype 9. The relatively high frequency (10-20%) of these two polymorphisms on PKU chromosomes from Great Britain, Ireland and France may reflect a relative concentration of haplotype 9 alleles among PKU chromosomes from these countries compared to the rest of Europe. The absence of disease-causing mutations within a region of the PAH gene that possesses basal promoter activity suggests that transcriptional mutations are not likely causes of PKU in Caucasian populations.

Base Sequence↗

Genetic polymorphisms and haplotypes of DNA repair genes in childhood acute lymphoblastic leukemia.

BACKGROUND: Polymorphisms of DNA repair genes can alter protein structure and may impair DNA repair capacity. Defects in repairing damaged DNA lead to genetic instability and carcinogenesis. This study was performed to evaluate the effect of the polymorphisms of DNA repair genes on risk of childhood acute lymphoblastic leukemia (ALL). PROCEDURES: We genotyped polymorphisms of X-ray repair cross-complimenting group 1 (XRCC1) codon 194 (Arg to Trp), 280 (Arg to His) and 399 (Arg to Gln), and xeroderma pigmentosum group D (XPD) codon 312 (Asp to Asn) and 715 (Lys to Gln) in 108 children with ALL and 317 healthy controls using PCR-RFLP method. The allele, genotype, and haplotype frequencies of these polymorphisms were compared between cases and controls using Chi-square or Fisher's exact test. PHASE computer software was used to analyze estimated haplotypes of the XRCC1 and XPD polymorphisms. RESULTS: The frequency of XRCC1 194Trp allele in patients was significantly lower than that in controls (odds ratio (OR) 0.67; 95% confidence interval (CI), 0.47-0.97). Individuals with XRCC1 194 Trp/Trp genotype had a significantly reduced risk of ALL (OR 0.22; 95% CI, 0.05-0.96). The frequency of the XRCC1 haplotype B (194Trp-280Arg-399Arg) was significantly lower in children with ALL when compared to controls. The XRCC1 399Gln allele was associated with a significantly increased risk of ALL (OR 1.67; 95% CI, 1.20-2.33). The frequency of the XRCC1 haplotype C (194Arg-280Arg-399Gln) was significantly higher in patients. There was no difference of allele frequencies of the XRCC1 280 (Arg to His), XPD 312 (Asp to Asn), or XPD 715 (Lys to Gln) between cases and controls. CONCLUSION: The XRCC1 194Trp allele and haplotype B showed a protective effect against development of childhood ALL. In contrast, individuals with the XRCC1 399Gln allele and haplotype C were associated with increased risk for this disease.

Adolescent↗

Haplotyping and estimation of haplotype frequencies for closely linked biallelic multilocus genetic phenotypes including nuclear family information.

With the discovery of single nucleotide polymorphisms (SNP) along the genome, genotyping of large samples of biallelic multilocus genetic phenotypes for (fine) mapping of disease genes or for population studies has become standard practice. A genetic trait, however, is mainly caused by an underlying defective haplotype, and populations are best characterized by their haplotype frequencies. Therefore, it is essential to infer from the phase-unknown genetic phenotypes in a sample drawn from a population the haplotype frequencies in the population and the underlying haplotype pairs in the sample in order to find disease predisposing genes by some association or haplotype sharing algorithm. Haplotype frequencies and haplotype pairs are estimated via a maximum likelihood approach by a well-known expectation maximization (EM) algorithm, adapting it to a large number (up to 30) of biallelic loci (SNP), and including nuclear family information, if available, into the analysis. Parents are treated as an independent sample from the population. Their genotyped offspring reduces the number of potential haplotype pairs for both parents, resulting in a higher accuracy of the estimation, and may also reduce computation time. In a series of simulations our approach of including nuclear family information has been tested against both the EM algorithm without nuclear family information and an alternative approach using GENEHUNTER for the haplotyping of the families, using the locus-by-locus allele counts of the sample. Our new approach is more precise in haplotyping in cases of a high number of heterozygous loci, whereas for a moderate number of heterozygous positions in the sample all three different approaches gave the same perfect results.

Algorithms↗

Statistical analysis for haplotype-based matched case-control studies.

Using unphased genotype data, we studied statistical inference for association between a disease and a haplotype in matched case-control studies. Statistical inference for haplotype data is complicated due to ambiguity of genotype phases. An estimating equation-based method is developed for estimating odds ratios and testing disease-haplotype association. The method potentially can also be applied to testing haplotype-environment interaction. Simulation studies show that the proposed method has good performance. The performance of the method in the presence of departures from Hardy-Weinberg equilibrium is also studied.

Biometry↗