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Effect of beta-globin gene cluster haplotype on the hematological and clinical features of sickle cell anemia.

In 113 black American adults with sickle cell anemia (HbSS), we examined nine polymorphic restriction sites, including the Xmnl site 5' to the G gamma gene, to see whether haplotype is related to the level of HbF and the proportion of G gamma chains or if it influences the hematological and clinical features of the disease. Seventy-five percent of the patients were homozygous or heterozygous for the Benin (no. 19) or Central African Republic (Bantu, no. 20) haplotypes; 13.3% were homozygous or heterozygous for the Senegal (no. 3) haplotype, while 11.5% had other genotypes. Of the subjects, 14.2% were either homozygous or heterozygous for the Xmnl restriction site 5' to the G gamma gene. We found no effect of haplotype on HbF levels. The level of G gamma chains was 60.5% +/- 17.0% in individuals heterozygous or homozygous for haplotype no. 3 and was 46.9% +/- 11.6% in individuals with other haplotypes. Subjects with the Xmnl site 5' to the G gamma gene had G gamma globin levels of 59.5% +/- 16.7% while those lacking that site had an average of 47.2% +/- 12.1%. There were no significant differences among these groups in hemoglobin concentration, packed cell volume, mean cell volume, or clinical indicators of vaso-occlusive severity, including crises, hospitalizations per year, aseptic bone necrosis, acute chest syndrome, or leg ulcers. While the presence of haplotype 3 and the 5' G gamma Xmnl site were associated with increased G gamma chains, there was no effect on HbF level or other hematological and clinical features that might reflect disease severity. It is likely that determinants unrelated to haplotype, linked or unlinked to the beta-globin gene cluster, are the major effectors of differences in the levels of HbF in American patients with sickle cell anemia.

Adult↗

Haplotype analysis of the COMT-ARVCF gene region in Israeli anorexia nervosa family trios.

Anorexia nervosa (AN) is a severe and complex psychiatric disorder with a significant genetic contribution. Previously, we found an association between AN and the 158Val/Met polymorphism of the catechol-O-methyltransferase (COMT) gene in a family-based study of 51 Israeli AN trios. In the present study, we extended the original sample to include 85 family trios [66 AN restricting (AN-R) and 19 bingeing/purging (AN-BP) subtype] and performed a family-based transmission disequilibrium test (TDT) analysis for five SNPs in the COMT and two in the adjacent ARVCF gene. Association was found between AN-R and several SNPs in the COMT-ARVCF region including the 158Val/Met polymorphism. TDT analysis of 5-SNP haplotypes in AN-R trios revealed an overall statistically significant transmission disequilibrium (P < 0.001). Specifically, haplotype B [COMT-186C-408G-472G(158Val)-ARVCF-659C(220Pro)-524T(175Val)] was preferentially transmitted (P < 0.001) from parents of AN-R patients to their affected daughters, while haplotype A [COMT-186T-408C-472A(158Met)-ARVCF-659T(220Leu)-524C(175Ala)] was preferentially (P = 0.01) not transmitted. Haplotype B was associated with increased risk (RR 3.38; 0.95CI 1.98-6.43) while haplotype A exhibited a protective effect (RR 0.40; 0.95CI 0.21-0.70) for AN-R. Preferential transmission of the risk alleles and haplotypes from the parents was mostly contributed by the fathers. No significant transmission disequilibrium of alleles or haplotypes was found for AN-BP trios. The risk and protective haplotypes may carry molecular variations in the COMT gene or its vicinity that are relevant to the pathophysiology of restrictive anorexia nervosa in the Israeli-Jewish population.

Adolescent↗

Association of AKT1 haplotype with the risk of schizophrenia in Iranian population.

AKT-glycogen synthase kinase 3beta (GSK3beta) signaling is a target of lithium and has been implicated in the pathogenesis of mood disorders and schizophrenia. AKT1 protein level is decreased in the peripheral lymphocytes and brains of schizophrenic patients. The SNP2/3/4 TCG haplotype of AKT1 was associated with schizophrenia in patients with Northern European origin. In the present study, we genotyped five single nucleotide polymorphisms (SNP1-5) of AKT1 gene according to the original study in Iranians comprising of 321 schizophrenic patients and 383 controls, all residing in Mashhad city, Northeastern Iran. Haplotype analysis showed that the frequency of a five-SNP haplotype (AGCAG) was significantly higher in schizophrenic patients (0.068) than that of controls (0.034) (P = 0.03 after Bonferroni correction, OR = 2.04, CI = 1.2-3.4). In stratified analysis by schizophrenia subtypes, the frequency of the same haplotype was significantly higher in disorganized subtype (n = 78, frequency of haplotype=0.081) when compared with normal controls (P = 0.04 after Bonferroni correction, OR = 2.59, CI = 1.3-5.2). Our findings did not confirm the association of AKT1 SNP2/3/4 TCG haplotype with the risk of schizophrenia as reported in the original study but showed the evidence of association with a different haplotype, AKT1 five-SNP AGCAG haplotype, with the risk of schizophrenia in Iranian population.

Alleles↗

Brief communication: Y-chromosome haplotypes in Egypt.

We analyzed Y-chromosome haplotypes in the Nile River Valley in Egypt in 274 unrelated males, using the p49a,f TaqI polymorphism. These individuals were born in three regions along the river: in Alexandria (the Delta and Lower Egypt), in Upper Egypt, and in Lower Nubia. Fifteen different p49a,f TaqI haplotypes are present in Egypt, the three most common being haplotype V (39.4%), haplotype XI (18.9%), and haplotype IV (13.9%). Haplotype V is a characteristic Arab haplotype, with a northern geographic distribution in Egypt in the Nile River Valley. Haplotype IV, characteristic of sub-Saharan populations, shows a southern geographic distribution in Egypt.

Adult↗

HLA haplotype-linked high immune responsiveness against HTLV-I in HTLV-I-associated myelopathy: comparison with adult T-cell leukemia/lymphoma.

HLA haplotypes of 27 patients with human T-lymphotropic virus type I (HTLV-I)-associated myelopathy (HAM) and 12 patients with adult T-cell leukemia/lymphoma (ATLL) were examined by analyzing HLA types of the patients and their family members. Either A11Bw54Cw1DR4DQw3, A24Bw54Cw1DR4DQ-, A24B7Cw7DR1DQw1, or A24Bw52Cw-DR2DQw1 and the related haplotypes were found in 70% of cases with HAM. None of these "HAM-associated" haplotypes was found in patients with ATLL. HLA haplotypes made up of HLA components of A26Bw62Cw3DR5DQw3 and one particular haplotype of Aw33B44Cw-DRw6DQw1 were associated with the ATLL haplotypes. These "ATLL-associated" haplotypes were also found in the patients with HAM who had no previous history of blood transfusion. The in vitro cultures of peripheral blood lymphocytes with HTLV-I virion antigens revealed that the response with HAM peripheral blood lymphocytes was remarkably higher than that with ATLL peripheral blood lymphocytes. Based on this HTLV-I-specific immune responsiveness, we can segregate the high responders in HAM (14 of 16 cases) and the low responders in ATLL (6 of 7 cases). The existence of high and low responders was also confirmed by the normal healthy individuals, whose responses were segregated with HAM-associated and ATLL-associated haplotypes. These results suggested that two ethnic groups in southern Kyushu may get the two different diseases, HAM and ATLL, because of their different immunogenetic backgrounds. The high immune response to HTLV-I seems to be an important genetic factor in the development of HAM.

Adult↗

Relative efficiency of ambiguous vs. directly measured haplotype frequencies.

Haplotypes are useful for both fine-mapping of susceptibility loci and evaluation of sequence variation at multiple sites along a chromosome. However, they are difficult to directly measure over long stretches of DNA in diploid organisms. Consequently, multiple genetic markers are typically measured, without linkage phase information, giving rise to a subject's diplotype. From diplotype data, haplotypes are often inferred by pedigree information, or treated as partially missing data when haplotype frequencies are estimated among unrelated subjects. This latter ambiguity can increase the variance of the estimated haplotype frequencies. Douglas et al. ([2001] Nat. Genet. 28:361-364) recently quantified the relative efficiency of estimating haplotype frequencies from the diplotypes of unrelated subjects, relative to directly measured haplotypes via somatic cell hybrids (conversion technology), and demonstrated that unknown linkage phase can lead to a large loss of efficiency. However, their results were based on linkage equilibrium among marker loci, which may not be realistic for closely linked markers. We extend their relative efficiency calculations by several aspects: 1) allowance for linkage disequilbrium (LD) among marker loci; 2) evaluation of different patterns of LD; and 3) evaluation of nuclear families with and without parents. We show that although the loss in efficiency of haplotype frequencies among unrelated subjects decreases as LD increases to its maximum value, the general conclusions of Douglas et al. ([2001] Nat. Genet. 28:361-364) hold true for a variety of LD patterns and magnitudes. However, our results also demonstrate that trios of parents+one child are highly efficient for haplotype frequency estimation, that additional children offer little information, and that siblings without parents can be grossly inefficient. Genet. Epidemiol. 23:426-443, 2002.

Algorithms↗

The role of haplotypes in candidate gene studies.

Human geneticists working on systems for which it is possible to make a strong case for a set of candidate genes face the problem of whether it is necessary to consider the variation in those genes as phased haplotypes, or whether the one-SNP-at-a-time approach might perform as well. There are three reasons why the phased haplotype route should be an improvement. First, the protein products of the candidate genes occur in polypeptide chains whose folding and other properties may depend on particular combinations of amino acids. Second, population genetic principles show us that variation in populations is inherently structured into haplotypes. Third, the statistical power of association tests with phased data is likely to be improved because of the reduction in dimension. However, in reality it takes a great deal of extra work to obtain valid haplotype phase information, and inferred phase information may simply compound the errors. In addition, if the causal connection between SNPs and a phenotype is truly driven by just a single SNP, then the haplotype-based approach may perform worse than the one-SNP-at-a-time approach. Here we examine some of the factors that affect haplotype patterns in genes, how haplotypes may be inferred, and how haplotypes have been useful in the context of testing association between candidate genes and complex traits.

Genetic Predisposition to Disease↗

Haplotype block structures show significant variation among populations.

Recent studies suggest that haplotypes tend to have block-like structures throughout the human genome. Several methods were proposed for haplotype block partitioning and for tagging single-nucleotide polymorphism (SNP) identification. In population genetics studies, several research groups compared block structures across human populations. However, the measures used to quantify population similarity are either less than satisfactory or nonexistent. In this article, we propose several similarity measures to facilitate the comparisons of haplotype structures, namely block boundaries and tagging SNPs, across populations. With these measures, we can more objectively compare haplotype block structures and tagging SNP sets between different populations. In addition, these measures allow us to compare the results of different methods for block partition and tagging SNP identification. When we applied these measures to a real data set on chromosome 10 in 16 worldwide populations, we found that in this genome region: 1) haplotype block boundaries vary among populations, with European and some African populations showing similar boundaries but other populations showing other patterns; 2) tagging SNP sets are generally similar for populations with similar haplotype block structures but differ if the block structures differ; and 3) all but one of the block finding methods we tested yield consistent results, although variations exist regarding consistency. Our tentative results show that at least in the genome region studied, it is unlikely that a common haplotype pattern exists for all human populations: many populations, even in the same geographical region, may have different haplotype patterns.

Chromosome Mapping↗

Fine mapping of disease genes via haplotype clustering.

We propose an algorithm for analysing SNP-based population association studies, which is a development of that introduced by Molitor et al. [2003: Am J Hum Genet 73:1368-1384]. It uses clustering of haplotypes to overcome the major limitations of many current haplotype-based approaches. We define a between-haplotype score that is simple, yet appears to capture much of the information about evolutionary relatedness of the haplotypes in the vicinity of a (unobserved) putative causal locus. Haplotype clusters can then be defined via a putative ancestral haplotype and a cut-off distance. The number of an individual's two haplotypes that lie within the cluster predicts the individual's genotype at the causal locus. This predicted genotype can then be investigated for association with the phenotype of interest. We implement our approach within a Markov-chain Monte Carlo algorithm that, in effect, searches over locations and ancestral haplotypes to identify large, case-rich clusters. The algorithm successfully fine-maps a causal mutation in a test analysis using real data, and achieves almost 98% accuracy in predicting the genotype at the causal locus. A simulation study indicates that the new algorithm is substantially superior to alternative approaches, and it also allows us to identify situations in which multi-point approaches can substantially improve over single-SNP analyses. Our algorithm runs quickly and there is scope for extension to a wide range of disease models and genomic scales.

Algorithms↗

Estimation and testing of genotype and haplotype effects in case-control studies: comparison of weighted regression and multiple imputation procedures.

A popular approach for testing and estimating genotype and haplotype effects associated with a disease outcome is to conduct a population-based case/control study, in which haplotypes are not directly observed but may be inferred probabilistically from unphased genotype data. A variety of methods exist to analyse the resulting data while accounting for the uncertainty in haplotype assignment, but most focus on the issue of testing the global null hypothesis that no genotype or haplotype effects exist. A more interesting question, once a region of disease association has been identified, is to estimate the relevant genotypic or haplotypic effects and to perform tests of complex null hypotheses such as the hypothesis that some loci, but not others, are associated with disease. Here I examine the assumptions behind, and the performance of, two classes of methods for addressing this question. The first is a weighted regression approach in which posterior probabilities of haplotype assignments are used as weights in a logistic regression analysis, generating a test based on either a weighted pseudo-likelihood, or a weighted log-likelihood. The second is a multiple imputation approach using either an improper procedure in which the posterior probabilities are used to generate replicate imputed data sets, or a proper data augmentation procedure. I compare these approaches to a simple expectation substitution (haplotype trend regression) approach. In simulations, all methods gave unbiased parameter estimation but the weighted pseudo-likelihood, expectation substitution and multiple imputation methods had superior confidence interval coverage. For the weighted pseudo-likelihood and expectation substitution methods it was necessary to estimate posterior haplotype assignment probabilities using the combined case/control data, whereas for the multiple imputation approaches it was necessary to estimate these probabilities in the case and control groups separately. Overall, multiple imputation was easiest approach to implement in standard statistical software and to extend to more complex models such as those that include gene-gene or gene-environment interactions.

Case-Control Studies↗

Haplotype-tagging RANTES gene variants influence response to antiviral therapy in chronic hepatitis C.

The response to antiviral therapy for chronic hepatitis C virus (HCV) is complex and is determined by both environmental and genetic factors. Recently, interacting gene polymorphisms of the chemokine RANTES have been shown to affect HIV disease progression. Our aim was to assess if these RANTES variants are associated with response to anti-HCV therapy. Three linked RANTES single nucleotide polymorphisms (403 G/A, Int1.1 T/C, and 3' 222 T/C) were determined in 297 Caucasian patients who were treated for chronic HCV infection and 152 control subjects. Characteristic nucleotide combinations on single chromosomes (haplotypes) were reconstructed and tested for disease association. Four common RANTES haplotypes (prevalence > 3%) were identified in patients and controls [corrected]. There was a strong association of RANTES haplotype distribution with outcome of antiviral combination therapy (P = .007). Specifically, RANTES haplotypes carrying Int1.1 C and 3' 222 C alleles were more frequent in nonresponders than in patients with a sustained response to antiviral therapy (odds ratio 1.9, P = .01). The influence of these RANTES haplotypes on the outcome of therapy was more pronounced in patients infected with HCV genotypes 1 and 4 (odds ratio 2.3, P = .02). Because RANTES haplotypes carrying Int1.1 C are known to down-regulate RANTES transcriptional activity in vitro, the haplotype analysis fits the hypothesis of a diminished T helper 1 lymphocyte response in patients with a negative response to antiviral therapy. In conclusion, RANTES haplotypes might contribute to the polygenic interaction between HCV and the host immune system and could help to risk stratify patients prior to antiviral therapy.

Adult↗

ATM mutations on distinct SNP and STR haplotypes in ataxia-telangiectasia patients of differing ethnicities reveal ancestral founder effects.

Due to the large size (150 kb) of the ataxia-telangiectasia mutated (ATM) gene and the existence of over 400 mutations, identifying mutations in patients with ataxia-telangiectasia (A-T) is labor intensive. We compared the SNP and STR haplotypes of A-T patients from varying ethnicities who were carrying common ATM mutations. We used SSCP to determine SNP haplotypes. To our surprise, all of the most common ATM mutations in our large multiethnic cohort were associated with specific SNP haplotypes, whereas the STR haplotypes varied, suggesting that ATM mutations predated STR haplotypes but not SNP haplotypes. We conclude that these frequently observed ATM mutations are not hot spots, but have occurred only once and spread with time to different ethnic populations. More generally, a combination of SNP and STR haplotyping could be used as a screening strategy for identifying mutations in other large genes by first determining the ancestral SNP and STR haplotypes in order to identify specific founder mutations. We estimate this approach will identify approximately 30% of mutations in A-T patients across all ethnic groups.

Ataxia Telangiectasia↗

Genetic variants in a haplotype block spanning IDE are significantly associated with plasma Abeta42 levels and risk for Alzheimer disease.

Risk for late onset Alzheimer disease (LOAD) and plasma amyloid beta levels (Abeta42; encoded by APP), an intermediate phenotype for LOAD, show linkage to chromosome 10q. Several strong candidate genes (VR22, PLAU, IDE) lie within the 1-lod support interval for linkage. Others have independently identified haplotypes in the chromosome 10q region harboring IDE that show highly significant association with intermediate AD phenotypes and with risk for AD. To pursue these associations, we analyzed the same haplotypes for association with plasma Abeta42 in 24 extended LOAD families and for association with LOAD in two independent case-control series. One series (MCR, 188 age-matched case-control pairs) did not show association (p=0.64) with the six haplotypes in the 276-kb region spanning three genes (IDE, KNSL1, and HHEX) previously shown to associate with LOAD. The other series (MCJ, 109 age-matched case-control pairs) showed significant (p=0.003) association with these haplotypes. In the MCJ series, the H4 (odds ratio [OR]=5.1, p=0.003) and H2(H7) haplotypes (OR=0.60, p=0.04) had the same effects previously reported. In this series, the H8 haplotype (OR=2.7, p=0.098) also had an effect similar as in one previous case control series but not in others. In the extended families, the H8 haplotype was associated with significantly elevated plasma Abeta42 (p=0.02). In addition, the H5(H10) haplotype, which is associated with reduced risk for AD in the other study is associated with reduced plasma Abeta42 (p=0.007) in our family series. These results provide strong evidence for pathogenic variant(s) in the 276-kb region harboring IDE that influence intermediate AD phenotypes and risk for AD.

Adult↗

CYP19 (aromatase) haplotypes and endometrial cancer risk.

Endogenous estrogen exposure is an important determinant of endometrial cancer risk. Aromatase, encoded by CYP19, catalyzes the aromatization of androstenedione and testosterone to estrone and estradiol, respectively. Several common genetic polymorphisms in CYP19 have been identified, including a TCT insertion/deletion and a (TTTA)(n) repeat polymorphism in intron IV as well as a 3'UTR C/T polymorphism. We evaluated these 3 polymorphisms plus an additional 9 noncoding polymorphisms as individual genotypes and predicted haplotypes as risk factors for endometrial cancer using a nested case-control study design. Invasive endometrial cancer cases (n = 222) and matched controls (n = 666) were identified among participants in the Nurses' Health Study who had provided a blood sample in 1989-1990 (n = 32,826). We estimated haplotypes from unphased genotype data spanning > 123 kb of CYP19. Six haplotypes constructed from 10 SNPs were estimated with a frequency > or = 5%. The highest prevalence haplotype (33% among cases, 28% among controls) was significantly associated with endometrial cancer risk (p = 0.03). Loci with variant alleles that comprise the risk haplotype were independently associated with endometrial cancer, with relative risk estimates ranging from 1.68 (95% CI 1.13-2.48) to 2.07 (95% CI 1.33-3.23), comparing variant allele carriers to wild-type homozygotes. We observed significant interactions between menopausal status and 2 of the high-risk loci (p = 0.03 and p < 0.01), with > 2-fold increased risk for variant allele carriers who were postmenopausal but no association between genotype and endometrial cancer among premenopausal women. We evaluated associations between CYP19 haplotypes and plasma steroid hormone levels. The haplotype associated with endometrial cancer risk is also significantly associated with the ratios of estrone to androstenedione and estradiol to testosterone, the products and substrates of the enzyme aromatase, encoded by CYP19. Our data suggest that there is a high-frequency CYP19 haplotype related to higher estrogen to androgen ratios and increased risk of endometrial cancer and that this association may primarily pertain to postmenopausal women.

Adult↗

Amyloidosis in familial mediterranean fever is associated with a specific ancestral haplotype in the MEFV locus.

Familial Mediterranean fever (FMF) is a recessive disease characterized by recurrent attacks of inflammation of serosal membranes, and the gene responsible, MEFV, has been recently identified. Amyloidosis is considered to be the most severe complication. Since colchicine is effective in preventing FMF amyloidosis and since this process can develop even prior to the FMF symptoms, lifelong colchicine treatment is recommended for all FMF patients. Identification of the factor which determines amyloidosis will allow treatment to be directed only to those at risk. In order to investigate the association between amyloidosis and MEFV haplotypes, we studied 56 families from three ethnic groups. We compared the haplotypes of FMF patients with and without amyloidosis in each ethnic group separately and identified 14 different MEFV core haplotypes. A significant association (P < 0.004) was found between amyloidosis and a specific core haplotype, 153bp:104bp at markers D16S3370 and D16S2617, respectively. Amyloidosis was present in 20 out of 70 homozygotes for this haplotype and in 6 out of 35 compound heterozygotes for this and other core haplotypes. None of the patients who did not carry this allele had amyloidosis. There was no association between the various haplotypes and severity of the FMF symptoms, age of onset, or age at commencement of colchicine. Further investigation of the MEFV haplotypes in additional patients is recommended as such an association may save many mildly affected or asymptomatic patients with non-amyloidotic genotypes from receiving unnecessary lifelong colchicine treatment.

Adolescent↗

Detection of novel sequence heterogeneity and haplotypic diversity of HLA class II genes.

Nucleic acid sequences of the second exons of HLA-DRB1, -DRB3/4/5, -DQB1, and -DQA1 genes were determined from 43 homozygous cell lines, representing each of the known class II haplotypes, and from 30 unrelated Caucasian subjects, comprising 60 haplotypes. This systematic sequence analysis was undertaken in order to a) determine the existence of sequence microheterogeneity among cell lines which type as identical by methods other than sequencing; b) determine whether direct sequencing of class II genes will identify the presence of more extensive sequence polymorphism at the population level than that identified with other typing methods; c) accurately determine the molecular composition of the known class II haplotypes; and d) study their evolutionary relatedness by maximum parsimony analysis. The identification of seven previously unidentified haplotypes carrying five new allelic amino acid sequences suggests that sequence microheterogeneity at the population level may be more frequent than previously thought. Maximum parsimony analysis of these haplotypes allowed their evolutionary classification and indicates that the higher mutation rate at DRB1 compared to DQB1 loci in most haplotypic groups is inversed in specific haplotype lineages. Furthermore, the extent and localization of gene conversions and point mutations at class II loci in the evolution of these haplotypes is significantly different at each locus. Identification of additional HLA class II molecular microheterogeneity suggests that direct sequence analysis of class II HLA genes can uncover new allelic sequences in the population and may represent a useful alternative to current typing methodologies to study the effects of sequence allelism in organ transplantation.

Alleles↗

Multiplication of Mhc-DRB5 loci in the orangutan: implications for the evolution of DRB haplotypes.

The beta chain-encoding (B) class II genes of the primate major histocompatibility complex belong to several families. The DRB family of class II genes is distinguished by the occurrence of haplotype polymorphism--the existence of multiple chromosomal forms differing in length, gene number, and gene combinations, each form occurring at an appreciable frequency in the population. Some of the haplotypes, or fragments thereof, are shared by humans, chimpanzees, and gorillas. In an effort to follow the DRB haplotype polymorphism further back in time, we constructed DRB contig maps of the two chromosomes present in the orangutan cell line CP81. Two types of genes were found in the two haplotypes, Popy-DRB5 and Popy-DRB1*03, the former occurring in two copies and one gene fragment in each haplotype, so that the CP81 cell line contains four complete DRB5 genes and two DRB5 fragments altogether. Since the four genes are more closely related to one another than they are to other DRB5 genes, they must have arisen from a single ancestral copy by multiple duplications. At the same time, however, the two CP81 haplotypes differ considerably in their restriction enzyme sites and in the presence of Alu elements at different positions, indicating that they have been separated for a length of time that exceeds the lifespan of a primate species. Moreover, a segment of about 100 kilobase pairs is shared between the orangutan CP81-1 and the human HLA-DR2 haplotype. These findings indicate that part of the haplotype polymorphism may have persisted for more than 13 million years, which is the estimated time of human-orangutan divergence.

Amino Acid Sequence↗

HLA DQA1-DQB1-TAP2 haplotypes in IDDM families: no evidence for an additional contribution to disease risk by the TAP2 locus.

The TAP2 gene, located in the HLA class II region, encodes a subunit of a transporter involved in the endogenous antigen-processing pathway, and has been suggested to contribute to the genetic risk for insulin-dependent diabetes (IDDM). In order to determine whether the TAP2 locus modulates the risk conferred by HLA DQ loci, HLA DQA1-DQB1-TAP2 haplotypes were analysed in 48 IDDM probands, their first degree relatives, and in 62 normal control subjects. A decreased frequency of the TAP2B allele was confirmed in this IDDM cohort (12 vs 28% in control subjects, pc < 0.05). Analysis of 73 informative meiotic events in IDDM and control families demonstrated a recombination fraction between HLA DQB1 and TAP2 loci of 0.041 (Log of the odds score = 16.5; p < 10(-8)) indicating strong linkage between these loci. Family haplotype analysis demonstrated linkage disequilibrium between TAP2 and HLA DQA1-DQB1, and showed that the reduced frequency of TAP2B was associated with its absence on the IDDM susceptible DQA1*0301-DQB1*0302 haplotype, its low frequency on DQA1*0501-DQB1*0201, and the association of TAP2B with DQA1*0101-DQB1*0501 haplotypes which were less frequent in IDDM patients. Comparison of transmitted with non-transmitted haplotypes in IDDM families showed a slight but not significant decrease in TAP2B allele frequency on transmitted (3 of 37) vs non-transmitted (2 of 9) HLA DQA1*0501-DQB1*0201 haplotypes. No other differences were observed. Twenty-four unrelated DQA1*0501-DQB1*0201 haplotypes from non-diabetic families had a TAP2B allele frequency (4%) similar to that in IDDM haplotypes.(ABSTRACT TRUNCATED AT 250 WORDS)

ATP Binding Cassette Transporter, Subfamily B, Mem↗