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A comparison of molecular HLA-DR and DQ allele profiles forming DR51-, DR52-, and DR53-related haplotypes in five ethnic Thai populations from mainland southeast Asia.

Using PCR-SSOP typing we have deduced the composition and frequency of HLA-DRB1, -DRB3, -DRB4, -DRB5, -DQA1, and -DQB1 alleles present in DR51-, DR52-, and DR53-related haplotypes, in 519 individuals representative of five ethnic Thai populations recruited in central, northeastern and northern Thailand. In total, we have unequivocally detected at varying frequencies, 17 DR51-related haplotypes, 24 DR52 haplotypes, and 12 DR53 haplotypes in the study groups. We document evidence of north-south gradients of DR51-related haplotypes, whereby the overall frequency of DR51-containing haplotypes is relatively more common in the northern Thai groups. Similarly, within DR53-related haplotypes the frequency of DRB1*0901-containing haplotypes increases in the more northerly groups, and an inverse effect was observed with DRB1*0701-containing haplotypes that were relatively more common in the northeastern and central Thais. We have also compared the class II haplotype profiles of the Thais with the equivalent profiles reported in other non-Thai ethnic groups from mainland and insular SE Asia. One DR51-related haplotype DRB1*1502x, DRB5*0102x, DQA1*0101/4, DQB1*0501, would appear to be characteristic of Thai populations, as it was the most common DR2 haplotype in all five study groups and is also prevalent in other mainland southeast Asians, but is much less evident in the more northern populations of eastern Asia or China.

Alleles↗

Mitochondrial inheritance and the detection of non-parental mitochondrial DNA haplotypes in crosses of Agaricus bisporus homokaryons.

This study evaluates mtDNA transmission in Agaricus bisporus, as well as the occurrence of non-parental haplotypes in heterokaryons produced by controlled crosses. Sixteen crosses were performed with blended liquid cultures, using different combinations of 13 homokaryotic strains. For each cross, different mtDNA haplotypes were present in each homokaryon. Heterokaryons generated from these crosses were subject to genetic analysis with RFLP markers to identify (i). karyotic status, (ii). mtDNA haplotype, and (iii). the occurrence of non-parental mtDNA haplotypes. These analyses generally supported the occurrence of uniparental mitochondrial (mt) inheritance in A. bisporus, with one mtDNA haplotype usually favoured in the new heterokaryon. The preponderance of one mtDNA haplotype in a new heterokaryon did not necessarily show a correlation with a greater mycelial growth rate for the parent homokaryon possessing that haplotype. Mixed mtDNA haplotypes and non-parental haplotypes were also identified in the heterokaryons from some crosses. Evidence for the occurrence of two mtDNA haplotypes in one heterokaryotic mycelium was observed in 8 of 16 crosses, suggesting the maintenance of true heteroplasmons after three successive subculturing steps. Non-parental mtDNA haplotypes were seen in heterokaryons produced from 7 of 16 crosses. The mating protocol described can be utilized to generate novel mtDNA haplotypes for strain improvement and the development of strain-specific markers. Mechanisms of mt selection and inheritance are discussed.

Agaricus↗

Polymorphisms distinguishing different mouse species and t haplotypes.

Three anonymous chromosome 17 DNA markers, D17Tu36, D17Tu43, and D17Le66B, differentiate between house mouse species and/or between t chromosomes. The D17Tu36 probe, which maps near the Fu locus and to the In(17)4 on t chromosomes, identifies at least 15 haplotypes, each haplotype characterized by a particular combination of DNA fragments obtained after digestion with the Taq I restriction endonuclease. Ten of these haplotypes occur in Mus domesticus, while the remaining five occur in M. musculus. In each of these two species, one haplotype is borne by t chromosomes while the other haplotypes are present on non-t chromosomes. The D17Tu43 probe, which maps near the D17Leh122 locus and to the In(17)3 on t chromosomes, also identifies at least 15 haplotypes in Taq I DNA digests, of which nine occur in M. domesticus and six in M. musculus. One of the nine M. domesticus haplotypes is borne by t chromosomes, the other haplotypes are borne by non-t chromosomes; two of the six M. musculus haplotypes are borne by t chromosomes and the remaining four by non-t chromosomes. Some of the D17Tu43 haplotypes are widely distributed in a given species, while others appear to be population-specific. Exceptions to species-specificity are found only in a few mice captured near the M. domesticus-M. musculus hybrid zone or in t chromosomes that appear to be of hybrid origin. The D17Leh66B probe, which maps to the In(17)2, distinguishes three haplotypes of M. domesticus-derived t chromosomes and one haplotype of M. musculus-derived t chromosomes. Because of these characteristics, the three markers are well suited for the study of mouse population genetics in general and of t chromosome population genetics in particular. A preliminary survey of wild M. domesticus and M. musculus populations has not uncovered any evidence of widespread introgression of genes from one species to the other; possible minor introgressions were found only in the vicinity of the hybrid zone. Typing of inbred strains has revealed the contribution of only M. domesticus DNA to the chromosome 17 of the laboratory mouse.

Animals↗

Haplotype association analysis of human disease traits using genotype data of unrelated individuals.

Haplotype inference has become an important part of human genetic data analysis due to its functional and statistical advantages over the single-locus approach in linkage disequilibrium mapping. Different statistical methods have been proposed for detecting haplotype - disease associations using unphased multi-locus genotype data, ranging from the early approach by the simple gene-counting method to the recent work using the generalized linear model. However, these methods are either confined to case - control design or unable to yield unbiased point and interval estimates of haplotype effects. Based on the popular logistic regression model, we present a new approach for haplotype association analysis of human disease traits. Using haplotype-based parameterization, our model infers the effects of specific haplotypes (point estimation) and constructs confidence interval for the risks of haplotypes (interval estimation). Based on the estimated parameters, the model calculates haplotype frequency conditional on the trait value for both discrete and continuous traits. Moreover, our model provides an overall significance level for the association between the disease trait and a group or all of the haplotypes. Featured by the direct maximization in haplotype estimation, our method also facilitates a computer simulation approach for correcting the significance level of individual haplotype to adjust for multiple testing. We show, by applying the model to an empirical data set, that our method based on the well-known logistic regression model is a useful tool for haplotype association analysis of human disease traits.

Computer Simulation↗

[How about the uncertainty in the haplotypes in the population-based KORA studies?].

In the KORA surveys, numerous candidate genes in the context of type 2 diabetes, myocardial infarction, atherosclerosis or obesity are under investigation. Current focus is on genotyping single nucleotide polymorphism (SNPs). Haplotypes are also of increasing interest: haplotypes are combinations of alleles within a certain section of one chromosome. Analysing haplotypes in genetic association studies is often more efficient than studying the SNPs separately. A statistical problem in this context is the reconstruction of the phase: genotyping the SNPs determines the alleles of an individual at one particular locus of the DNA, but does not reveal which allele is located on which one of the two chromosomes. This information is required when talking about haplotypes. There are statistical approaches to identify the most likely two haplotypes of an individual given the genotypes. However, a certain error in prognosis is unavoidable. There are also errors in the genotypes. These errors are assumed to be small for one SNP but can accumulate over the SNPs involved in one haplotype and thus can induce further uncertainty in the haplotype. It is therefore the aim of our project to quantify the uncertainties in the haplotypes particularly for genes investigated in the KORA surveys. We conduct computer simulations based on the haplotypes and their frequencies observed in the KORA individuals and compare the results with simulations based on mathematical modelling of the evolutionary process ("coalescent models"). The uncertainties in the haplotypes have an impact on the search for association between genes and disease: an association may not be detected as the haplotype uncertainty obscures the haplotype frequency differences between cases and controls. It is a further aim of our project to elucidate the extent of this problem and to develop strategies for reducing it.

Adult↗

Lactase haplotype diversity in the Old World.

Lactase persistence, the genetic trait in which intestinal lactase activity persists at childhood levels into adulthood, varies in frequency in different human populations, being most frequent in northern Europeans and certain African and Arabian nomadic tribes, who have a history of drinking fresh milk. Selection is likely to have played an important role in establishing these different frequencies since the development of agricultural pastoralism approximately 9,000 years ago. We have previously shown that the element responsible for the lactase persistence/nonpersistence polymorphism in humans is cis-acting to the lactase gene and that lactase persistence is associated, in Europeans, with the most common 70-kb lactase haplotype, A. We report here a study of the 11-site haplotype in 1,338 chromosomes from 11 populations that differ in lactase persistence frequency. Our data show that haplotype diversity was generated both by point mutations and recombinations. The four globally common haplotypes (A, B, C, and U) are not closely related and have different distributions; the A haplotype is at high frequencies only in northern Europeans, where lactase persistence is common; and the U haplotype is virtually absent from Indo-European populations. Much more diversity is seen in sub-Saharan Africans than in non-Africans, consistent with an "Out of Africa" model for peopling of the Old World. Analysis of recent recombinant haplotypes by allele-specific PCR, along with deduction of the root haplotype from chimpanzee sequence, allowed construction of a haplotype network that assisted in evaluation of the relative roles of drift and selection in establishing the haplotype frequencies in the different populations. We suggest that genetic drift was important in shaping the general pattern of non-African haplotype diversity, with recent directional selection in northern Europeans for the haplotype associated with lactase persistence.

Africa South of the Sahara↗

Haplotyping as perfect phylogeny: a direct approach.

A full haplotype map of the human genome will prove extremely valuable as it will be used in large-scale screens of populations to associate specific haplotypes with specific complex genetic-influenced diseases. A haplotype map project has been announced by NIH. The biological key to that project is the surprising fact that some human genomic DNA can be partitioned into long blocks where genetic recombination has been rare, leading to strikingly fewer distinct haplotypes in the population than previously expected (Helmuth, 2001; Daly et al., 2001; Stephens et al., 2001; Friss et al., 2001). In this paper we explore the algorithmic implications of the no-recombination in long blocks observation, for the problem of inferring haplotypes in populations. This assumption, together with the standard population-genetic assumption of infinite sites, motivates a model of haplotype evolution where the haplotypes in a population are assumed to evolve along a coalescent, which as a rooted tree is a perfect phylogeny. We consider the following algorithmic problem, called the perfect phylogeny haplotyping problem (PPH), which was introduced by Gusfield (2002) - given n genotypes of length m each, does there exist a set of at most 2n haplotypes such that each genotype is generated by a pair of haplotypes from this set, and such that this set can be derived on a perfect phylogeny? The approach taken by Gusfield (2002) to solve this problem reduces it to established, deep results and algorithms from matroid and graph theory. Although that reduction is quite simple and the resulting algorithm nearly optimal in speed, taken as a whole that approach is quite involved, and in particular, challenging to program. Moreover, anyone wishing to fully establish, by reading existing literature, the correctness of the entire algorithm would need to read several deep and difficult papers in graph and matroid theory. However, as stated by Gusfield (2002), many simplifications are possible and the list of "future work" in Gusfield (2002) began with the task of developing a simpler, more direct, yet still efficient algorithm. This paper accomplishes that goal, for both the rooted and unrooted PPH problems. It establishes a simple, easy-to-program, O(nm(2))-time algorithm that determines whether there is a PPH solution for input genotypes and produces a linear-space data structure to represent all of the solutions. The approach allows complete, self-contained proofs. In addition to algorithmic simplicity, the approach here makes the representation of all solutions more intuitive than in Gusfield (2002), and solves another goal from that paper, namely, to prove a nontrivial upper bound on the number of PPH solutions, showing that that number is vastly smaller than the number of haplotype solutions (each solution being a set of n pairs of haplotypes that can generate the genotypes) when the perfect phylogeny requirement is not imposed.

Algorithms↗

Microsatellite haplotypes for cystic fibrosis: mutation frameworks and evolutionary tracers.

Highly informative intragenic microsatellite markers within the cystic fibrosis (CF) transmembrane conductance regulator (CFTR) gene allow the analysis of associations between specific mutations and haplotypes. We have analysed 440 Spanish CF families carrying 22 different CF mutations and have established haplotypes in 1,036 chromosomes for microsatellites IVS8CA, IVS17BTA and IVS17BCA. No new alleles were detected at the three CFTR microsatellites, in more than 3,000 meiosis analysed (estimated mutation rate of less than 3.3 x 10(-4)). The evolution of 16 haplotypes associated with the most common CF mutation, delta F508, and the low mutation rate at these microsatellite loci suggest that delta F508 originated within the 23-31-13 haplotype at least 53,000 years ago, very early in the history of the European population. The number of haplotype changes seen for two other common mutations, G542X (haplotype 23-33-13) and N1303K (23-31-13), suggests that they originated at least 35,000 years ago. Microsatellite allele variability associated with delta F508, G542X and N1303K demonstrates that slippage and mispairing is the main mechanism generating microsatellite alleles. In spite of the haplotype variability detected for these 3 common mutations, the association between haplotype and mutations is very strong. Mutations 1609delCA, 3667del4, delta I507 and G551D are all associated with haplotype 16-7-17, which has a frequency of 14.5% in normal chromosomes. 5 haplotypes bearing specific CF mutations were not found in normal chromosomes. Haplotype 16-46-13 is strongly associated with CF mutations E92K and 3601-111G-->C. About 23% of CF chromosomes with unknown mutations show significant linkage disequilibrium for microsatellite haplotypes.(ABSTRACT TRUNCATED AT 250 WORDS)

Base Sequence↗

Effects of haplotypes in the interleukin 1beta promoter on lipopolysaccharide-induced interleukin 1beta expression.

Previous studies have indicated that there are 3 common haplotypes composed of the -1470, -511, and -31 loci in the interleukin 1beta (IL-1beta) promoter in the Chinese population. The purpose of this study was to investigate the relationship between these haplotypes and lipopolysaccharide (LPS)-stimulated IL-1beta expression by whole blood leukocytes in vitro and to evaluate the effects of these haplotypes on IL-1beta gene transcription. Genomic DNAs were obtained from 105 healthy subjects. The genotypes at the 3 sites of the IL-1beta promoter were determined by restriction fragment length polymorphism analysis. Haplotype frequency was evaluated by using the Arlequin software. Plasma IL-1beta level was measured by enzyme-linked immunosorbent assay. The transcriptional activity of the haplotypes was determined by in vitro reporter gene. The results indicated that after the exposure to LPS, whole blood leukocytes from subjects with the homozygous haplotype -1470G, -511C, and -31T (G-C-T) produced more IL-1beta in vitro than those from subjects with haplotype -1470C, -511T, and -31C (C-T-C) and that the transcriptional activity of the haplotype G-C-T was also higher than that of the haplotype C-T-C. It is suggested that the haplotypes of the IL-1beta promoter influence the expression and transcriptional activity of the IL-1beta gene and that the upregulation of IL-1beta gene expression after LPS exposure in subjects with haplotype G-C-T may be due to an increased transcriptional activity of the haplotype.

Asian People↗

Sequence differences between HLA-B and TNF distinguish different MHC ancestral haplotypes.

The HLA-B locus is extremely polymorphic. We have sequenced a region, CL, telomeric of HLA-B that also shows a high degree of allelic variation which we have shown previously by RFLP analysis. The polymorphism can be accounted for by sequence variation in duplicated, reiterated sequence elements called geometric elements. Comparison of the CL1 and CL2 sequences from the 57.1, 8.1, 18.2 and 7.1 ancestral haplotypes revealed that the lengths of the elements vary, both between the duplicated loci within a haplotype and between haplotypes, apparently because certain sequences are inserted or deleted. It is possible, using the polymerase chain reaction, to amplify these elements in genomic DNA from ancestral haplotypes for which sequence data of the CL region are not available and to obtain gel patterns which are characteristic of different ancestral haplotypes. The most striking feature of the data is the fact that the majority of the CL patterns are haplospecific; i.e. have a particular pattern that is unique for a particular ancestral haplotype and can be used to type these ancestral haplotypes. At least 12 different allelic patterns have been identified within a panel of 29 cell lines representing 16 ancestral haplotypes. For these 16 ancestral haplotypes, all examples of each haplotype have the same CL pattern. The haplotypic nature of the patterns confirms that ancestral haplotypes are conserved chromosomal segments and that coding and non-coding sequences are identical by descent from a remote ancestor.

Base Sequence↗

Haplotype structure and allele frequencies of CYP2B6 in a Korean population.

Cytochrome P450 2B6 (CYP2B6) metabolizes a number of therapeutic drugs and its metabolic activity varies markedly in human liver. Although genetic polymorphisms of CYP2B6 have been reported in noncoding and coding regions, little information is available regarding single nucleotide polymorphisms (SNPs) and their haplotypes in noncoding regions in Asians. Fourteen previously reported SNPs were determined by polymerase chain reaction-restriction fragment length polymorphism or SNaPshot analysis in a Korean population and their haplotypes were inferred from genotype data using an expectation-maximization algorithm. The most common haplotypes were haplotype I, the reference sequence (frequency 0.35), haplotype II (0.19), haplotype III (0.19), and haplotype V (0.12), which together accounted for 85% of all haplotypes. The frequency of haplotype III, which contains -2320C, -1778G, -1186G, -750C, and 15582T, was found to be 2.4-fold higher than that of the *1J allele in Caucasians, and the frequency of haplotype V, which contains -8207C, -1456C, -750C, 516T, and 785G, was 55% of that of the *6B allele in Caucasians. Moreover, haplotype V, the *6B allele, appeared to be completely linked to -8207 within a putative nuclear receptor binding motif, suggesting that lower expressions of the *6B allele may be associated with the presence of noncoding SNPs such as -8207G>C linked to nonsynonymous SNPs. In conclusion, we found 11 previously described polymorphisms and identified four major haplotypes of CYP2B6 in Koreans. The frequencies of the *1J or *6B alleles, which may reduce CYP2B6 enzyme expression, were found to be significantly different between Koreans and Caucasians.

Adult↗

Haplotype analysis of common vitamin D receptor variants and colon and rectal cancers.

Inherited variants of the vitamin D receptor (VDR) gene may influence cancer risk by altering the effect of vitamin D on cell growth and homeostasis. Studies have examined genotypes for common VDR polymorphisms, including a single nucleotide polymorphism (SNP) detected by Bsm1, a polyadenosine [poly(A)] repeat polymorphism, and a SNP detected by Fok1, as candidates for susceptibility to cancer, but most have not evaluated haplotypes for these markers. We investigated haplotypes for these polymorphisms in case-control studies of colon cancer (1,811 cases and 1,451 controls) and rectal cancer (905 cases and 679 controls). We used the expectation-maximization algorithm to estimate haplotypes for White, Hispanic, African-American, and Asian subjects, tested for differences in VDR haplotype distribution, and calculated odds ratios (OR) for association between haplotype and cancer. The distribution of haplotypes differed by race or ethnic group, but four common haplotypes accounted for the majority of alleles in all groups. VDR haplotype distributions differed between colon cancer cases and controls (P = 0.0004). The common haplotype bLF, containing Bsm1 b (Bsm1 restriction site present), poly(A) long (18-22 repeats), and Fok1 F (restriction site absent) was associated with increased risk of colon cancer, OR 1.15 (95% confidence interval, 1.03-1.28), as was the rare haplotype BLF, containing Bsm1 B (restriction site absent), poly(A) long, and Fok1 F (OR, 2.40; 95% confidence interval, 1.43-4.02). No case-control differences were detected for rectal cancer. In this analysis, haplotypes of the VDR influenced risk of colon cancer, but haplotype variables had only slightly better ability to explain case-control differences than genotype variables.

Adult↗

A haplotype analysis of HER-2 gene polymorphisms: association with breast cancer risk, HER-2 protein expression in the tumor, and disease recurrence in Korea.

PURPOSE: A single-nucleotide polymorphism (SNP) in codon 655 of HER-2 has been extensively studied with inconclusive results. The purpose of this study was to investigate the association between common variants of HER-2 and breast cancer risk, HER-2 expression, and survival using a haplotype-based stepwise approach. EXPERIMENTAL DESIGN: Twenty-nine SNPs listed in the National Center for Biotechnology Information database were screened to identify novel polymorphisms of HER-2 gene in 90 healthy Korean women. Six of 29 SNPs were polymorphic and had greater than 10% of minor allele frequencies. Using these six SNPs, linkage disequilibrium and haplotype patterns were characterized. We tested association between the haplotypes and breast cancer in a large case-control study (n=1,039 cases and 995 controls). Six-hundred two breast cancer patients with follow-up at least 24 months were analyzed for outcome in relation to haplotype. Expression of HER-2 protein was determined by immunohistochemistry in 1,094 cases of invasive breast cancer. RESULTS: All six SNPs showed a strong linkage disequilibrium pattern and were considered to belong to one haplotype block. Two haplotype-tagging SNPs (I655V and P1170A) for three common haplotypes (>5%) were genotyped in cases and controls. The haplotypes and individual SNPs were not associated with breast cancer risk. In patients with at least one copy of haplotype I (the most common haplotype), HER-2 expression was 1.5 times higher (P = 0.009) and the prognosis was worse (P = 0.032) compared with patients without having that haplotype. CONCLUSIONS: Our results suggest that the currently identified genetic polymorphisms of HER-2 are not associated with an increased risk of breast cancer in Korean women, whereas one haplotype does affect protein expression of the tumor and disease outcome.

Adult↗

The reliability of haplotyping inference in nuclear families: misassignment rates for SNPs and microsatellites.

Single nucleotide polymorphisms (SNPs) are widely used when investigators try to map complex disease genes. Although biallelic SNP markers are less informative than microsatellite markers, one can increase their information content by using haplotypes. However, assigning haplotypes (i.e., assigning phase) correctly can be problematic in the presence of SNP heterozygosity. For example, a doubly heterozygous individual, with genotype 12, 12, could have haplotypes 1-1/2-2 or 1-2/2-1 with equal probability; in the absence of additional information, there is no way to determine which haplotype is correct. Thus an algorithm that assigns haplotypes to such an individual will assign the wrong one 50% of the time. We have studied the frequency of haplotype misassignments, i.e., haplotypes that are misassigned solely because of inherent marker ambiguity (not because of errors in genotyping or calculation). We examined both SNPs and microsatellite markers. We used the computer programs GENEHUNTER and SIMWALK to assign the haplotypes. We simulated (a) families with 1-5 children, (b) haplotypes involving different numbers of marker loci (3, 5, 7 and 10 loci, all in linkage equilibrium), and (c) different allele frequencies. Misassignment rates are highest (a) in small families, (b) with many SNP loci, and (c) for loci with the greatest heterozygosity (i.e., where both alleles have frequency 0.5). For example, for triads (i.e., one-child families with both parents genotyped), misassignment rates for SNPs can reach almost 50%. Family sizes of 4-5 children are required in order to ensure a misassignment frequency of < or = 5% for ten-SNP haplotypes with allele frequencies of 0.25-0.5. For microsatellites, a family size of at least 2-3 children is necessary to keep haplotyping misassignments < or = 5%. Finally, we point out that it is misleading for a computer program to yield haplotype assignments without indicating that they may have been misassigned, and we discuss the implications of these misassignments for association and linkage analysis.

Chromosome Mapping↗

Relationship between tumour necrosis factor-alpha (TNFalpha) production and a specific multiple sclerosis (MS) associated TNF gene haplotype.

OBJECTIVE: To determine if monocyte TNFalpha production from patients homozygous for a specific MS associated TNF gene haplotype is different from that produced in patients either heterozygous for, or without this haplotype. BACKGROUND: The balance between pro- and anti-inflammatory cytokines is important in the clinical outcome of inflammatory reactions. Levels of TNFalpha, a pro-inflammatory cytokine, is raised in MS as well as being found in acute and chronic MS lesions. A previous population based study in Northern Ireland with polymorphisms spanning the TNF gene region identified a conserved MS associated haplotype in relation to three markers (130: 118: 127 TNF d:a:b) for which 19 MS patients were homozygous. METHODS: Venous blood collected in EDTA to give a concentration of 10(-3) M was drawn from 16 patients with the conserved MS associated haplotype, 19 patients heterozygous for the haplotype and 17 patients without the haplotype. Mononuclear cells were separated and cultured by standard techniques and levels of TNFalpha and of TNF binding proteins I and II were determined by commercial enzyme-linked immunosorbent assays. RESULTS: There were no significant differences in TNFalpha production in the 3 h (P = 0.28) or 24 h cultures (P = 0.18) or following stimulation with interferon-gamma (P = 0.17) between the group positive for the conserved haplotype and the group negative for this haplotype. There was also no significant difference when compared to the heterozygote group. No association was found between the MS associated haplotype and levels of either TNF binding protein. A greater proportion of patients with the conserved haplotype had a benign clinical course (P = 0.06). CONCLUSION: We conclude that whilst a trend exists, we have found no significant association between peripheral TNFalpha production and a specific MS associated TNF haplotype in this population. Paradoxically this haplotype may also predict a more favourable clinical course.

Cells, Cultured↗

Haplotypic structure of the X chromosome in the COGA population sample and the quality of its reconstruction by extant software packages.

BACKGROUND: The haplotypes of the X chromosome are accessible to direct count in males, whereas the diplotypes of the females may be inferred knowing the haplotype of their sons or fathers. Here, we investigated: 1) the possible large-scale haplotypic structure of the X chromosome in a Caucasian population sample, given the single-nucleotide polymorphism (SNP) maps and genotypes provided by Illumina and Affimetrix for Genetic Analysis Workshop 14, and, 2) the performances of widely used programs in reconstructing haplotypes from population genotypic data, given their known distribution in a sample of unrelated individuals. RESULTS: All possible unrelated mother-son pairs of Caucasian ancestry (N = 104) were selected from the 143 families of the Collaborative Study on the Genetics of Alcoholism pedigree files, and the diplotypes of the mothers were inferred from the X chromosomes of their sons. The marker set included 313 SNPs at an average density of 0.47 Mb. Linkage disequilibrium between pairs of markers was computed by the parameter D', whereas for measuring multilocus disequilibrium, we developed here an index called D*, and applied it to all possible sliding windows of 5 markers each. Results showed a complex pattern of haplotypic structure, with regions of low linkage disequilibrium separated by regions of high values of D*. The following programs were evaluated for their accuracy in inferring population haplotype frequencies: 1) ARLEQUIN 2.001; 2) PHASE 2.1.1; 3) SNPHAP 1.1; 4) HAPLOBLOCK 1.2; 5) HAPLOTYPER 1.0. Performances were evaluated by Pearson correlation (r) coefficient between the true and the inferred distribution of haplotype frequencies. CONCLUSION: The SNP haplotypic structure of the X chromosome is complex, with regions of high haplotype conservation interspersed among regions of higher haplotype diversity. All the tested programs were accurate (r = 1) in reconstructing the distribution of haplotype frequencies in case of high D* values. However, only the program PHASE realized a high correlation coefficient (r > 0.7) in conditions of low linkage disequilibrium.

Alcoholism↗

Genetic analysis of completely sequenced disease-associated MHC haplotypes identifies shuffling of segments in recent human history.

The major histocompatibility complex (MHC) is recognised as one of the most important genetic regions in relation to common human disease. Advancement in identification of MHC genes that confer susceptibility to disease requires greater knowledge of sequence variation across the complex. Highly duplicated and polymorphic regions of the human genome such as the MHC are, however, somewhat refractory to some whole-genome analysis methods. To address this issue, we are employing a bacterial artificial chromosome (BAC) cloning strategy to sequence entire MHC haplotypes from consanguineous cell lines as part of the MHC Haplotype Project. Here we present 4.25 Mb of the human haplotype QBL (HLA-A26-B18-Cw5-DR3-DQ2) and compare it with the MHC reference haplotype and with a second haplotype, COX (HLA-A1-B8-Cw7-DR3-DQ2), that shares the same HLA-DRB1, -DQA1, and -DQB1 alleles. We have defined the complete gene, splice variant, and sequence variation contents of all three haplotypes, comprising over 259 annotated loci and over 20,000 single nucleotide polymorphisms (SNPs). Certain coding sequences vary significantly between different haplotypes, making them candidates for functional and disease-association studies. Analysis of the two DR3 haplotypes allowed delineation of the shared sequence between two HLA class II-related haplotypes differing in disease associations and the identification of at least one of the sites that mediated the original recombination event. The levels of variation across the MHC were similar to those seen for other HLA-disparate haplotypes, except for a 158-kb segment that contained the HLA-DRB1, -DQA1, and -DQB1 genes and showed very limited polymorphism compatible with identity-by-descent and relatively recent common ancestry (<3,400 generations). These results indicate that the differential disease associations of these two DR3 haplotypes are due to sequence variation outside this central 158-kb segment, and that shuffling of ancestral blocks via recombination is a potential mechanism whereby certain DR-DQ allelic combinations, which presumably have favoured immunological functions, can spread across haplotypes and populations.

Chromosome Mapping↗

[Microsatellite haplotypes of the Y-chromosome demonstrate the absence of subdivisions and presence of several components in the Tuvinian male gene pool].

The haplotype analysis of seven Y-chromosome microsatellites in three regional populations of Tuvinians revealed high intrapopulation variation in the male gene pool of the modern population of the Tuva Republic. In total, 49 haplotypes were found in 111 individuals; only four haplotypes occurred at a frequency higher than 5%. High genetic diversity (H = 0.935) suggested a high power of discrimination for the Y-chromosome haplotypes. The analysis of molecular variance (AMOVA) and other data did not reveal subdivision of the Tuvinian population with respect to Y-chromosome haplotypes. Most haplotypes found in Tuvinians formed two lines. Line A included approximately 64% of the haplotypes found, line B, approximately 24%. A putative ancestral haplotype of line B was similar to a haplotype most common in modern Caucasoids (Md = 3), whereas a putative ancestral haplotype of line A proved to be distant from the ancestral haplotype of line A and haplotypes common for Caucasoids and Mongoloids. Estimates of the age of the Y-chromosome lines showed that the male gene pool of modern Tuvinians originated in the late Paleolithic or Neolithic period. With two methods, the age of line A was estimated at 3500 or 18,000 years and the age of line B was approximately at 5500 or 15,000 years. Considering the less conservative estimates to be more reliable, line B was assumed to originate from the ancient Caucasoid population of the Tuva region. The more widespread and evolutionarily younger line A was associated with the peopling region by ancient Mongoloid tribes of the Turkic language group in the Hun-Sarmatian period.

Asian People↗