PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Haplotype structures”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 307 records · Page 17Linked to original sources

Remarkable variation in maize genome structure inferred from haplotype diversity at the bz locus.

Maize is probably the most diverse of all crop species. Unexpectedly large differences among haplotypes were first revealed in a comparison of the bz genomic regions of two different inbred lines, McC and B73. Retrotransposon clusters, which comprise most of the repetitive DNA in maize, varied markedly in makeup, and location relative to the genes in the region and genic sequences, later shown to be carried by two helitron transposons, also differed between the inbreds. Thus, the allelic bz regions of these Corn Belt inbreds shared only a minority of the total sequence. To investigate further the variation caused by retrotransposons, helitrons, and other insertions, we have analyzed the organization of the bz genomic region in five additional cultivars selected because of their geographic and genetic diversity: the inbreds A188, CML258, and I137TN, and the land races Coroico and NalTel. This vertical comparison has revealed the existence of several new helitrons, new retrotransposons, members of every superfamily of DNA transposons, numerous miniature elements, and novel insertions flanked at either end by TA repeats, which we call TAFTs (TA-flanked transposons). The extent of variation in the region is remarkable. In pairwise comparisons of eight bz haplotypes, the percentage of shared sequences ranges from 25% to 84%. Chimeric haplotypes were identified that combine retrotransposon clusters found in different haplotypes. We propose that recombination in the common gene space greatly amplifies the variability produced by the retrotransposition explosion in the maize ancestry, creating the heterogeneity in genome organization found in modern maize.

Base Sequence↗

Haplotypes of the steroid 21-hydroxylase gene region encoding mild steroid 21-hydroxylase deficiency.

Haplotypes of the complement 4 (C4) and steroid 21-hydroxylase [21-OHase; steroid hydrogen-donor: oxygen oxidoreductase (21-hydroxylating), EC 1.14.99.10] repeated gene complex were studied in nine families with at least one member affected with a mild form of 21-OHase deficiency. DNA probes from different parts of the repeated C4/21-OHase unit were used to follow the segregation of hybridization patterns in the families. Ten structurally distinct haplotypes of the C4/21-OHase gene region were identified, and the encoded phenotype was assigned to 34 of the 36 C4/21-OHase haplotypes. Four structurally different haplotypes with three C4/21-OHase repeat units were found. Eight of the nine haplotypes found with triplications of the C4/21-OHase repeat unit encoded the mild form of 21-OHase deficiency, whereas one particular triplicated haplotype encoded a severe form of the disease. In one case the mild form of 21-OHase deficiency was encoded by a haplotype with a single C4/21-OHase repeat unit. Mild 21-OHase deficiency was predicted in a patient by the presence of a triplicated haplotype. The finding of deranged 21-OHase genes on all triplicated C4/21-OHase haplotypes indicate that most of these common haplotypes carry mutated 21-OHase genes, and thus may cause functional polymorphism of general importance in the population.

Adrenal Hyperplasia, Congenital↗

High frequency of MIC null haplotype (HLA-B48-MICA-del-MICB*0107 N) in the Angaite Amerindian community in Paraguay.

We describe a high frequency of the MIC null haplotype, HLA-B48-MICA-del-MICB*0107 N, in the Angaite Amerindian community in Paraguay. Of the 16 unrelated subjects, 9 (56.5%) had this haplotype. The structural analyses revealed this haplotype was similar to the previously reported Asian haplotype in that they had a large-scale deletion including the entire MICA gene and linked to MICB*0107 N and HLA-B*48. The novel recombination haplotype between this MIC null haplotype and HLA-B15, HLA-B15-MICA-del-MICB*0107 N, was also found in this community.

Base Sequence↗

Y chromosome STR haplotypes and the genetic structure of U.S. populations of African, European, and Hispanic ancestry.

To investigate geographic structure within U.S. ethnic populations, we analyzed 1705 haplotypes on the basis of 9 short tandem repeat (STR) loci on the Y-chromosome from 9-11 groups each of African-Americans, European-Americans, and Hispanics. There were no significant differences in the distribution of Y-STR haplotypes among African-American groups, whereas European-American and Hispanic groups did exhibit significant geographic heterogeneity. However, the significant heterogeneity resulted from one sample; removal of that sample in each case eliminated the significant heterogeneity. Multidimensional scaling analysis of R(ST) values indicated that African-American groups formed a distinct cluster, whereas there was some intermingling of European-American and Hispanic groups. MtDNA data exist for many of these same groups; estimates of the European-American genetic contribution to the African-American gene pool were 27.5%-33.6% for the Y-STR haplotypes and 9%-15.4% for the mtDNA types. The lack of significant geographic heterogeneity among Y-STR and mtDNA haplotypes in U.S ethnic groups means that forensic DNA databases do not need to be constructed for separate geographic regions of the U.S. Moreover, absence of significant geographic heterogeneity for these two loci means that regional variation in disease susceptibility within ethnic groups is more likely to reflect cultural/environmental factors, rather than any underlying genetic heterogeneity.

Africa↗

The G4 gene is duplicated in 44% of human immunoglobulin heavy chain constant region haplotypes.

The structure of the human immunoglobulin heavy chain constant region (IGHC), on chromosome 14q32, comprises nine CH genes and two pseudogenes, all originating from multiple duplication events. Continuing evolution of the region is demonstrated by the finding of various types of duplicated and deleted haplotypes, which together add up to 6%. Here we provide molecular and genetic evidence that the G4 gene is duplicated in 44% of IGHC haplotypes in the Italian population. The duplication spans about 20 kb of genomic DNA and probably originated through unequal crossing over. Refined characterisation of the genomic region downstream from the G4 gene improves our knowledge of the evolutionary history of CH genes.

Blotting, Southern↗

Emergent effects of heavy metal pollution at a population level: Littorina brevicula a study case.

Changes in genetic variability and allele frequency can be responses from natural populations when encountering a novel contaminated environment. The genetic diversity and population structuring of natural populations of the gastropod Littorina brevicula from heavy-metal polluted and unpolluted environments along the southeast coast of Korea were examined using two mtDNA markers, cyt b and ND6. This study applied a nested clade analysis to test the existence of structuring association of haplotype distribution with environments (polluted and unpolluted). No genetic differences within cyt b mtDNA were detected between environments. On the other hand, differences in population haplotype diversity and structuring were found within ND6 mtDNA between polluted and unpolluted environments. The ND6-mtDNA haplotype (=genetic) diversity was significant lower in polluted environments. This decreased genetic diversity along with differences in the haplotype distribution within heavy-metal polluted environments compared to those unpolluted ones stand out as emergent effects from pollution at a population level. In this study, we propose the use of different approaches, such as the NCA, that takes into account the rare haplotypes, when assessing the effects of pollution on population genetic structuring.

Adaptation, Physiological↗

Haplotypes and the systematic analysis of genetic variation in genes and genomes.

Haplotypes have been used in various fields of genetics for a long time, in a variety of contexts, and for different purposes. Now, haplotype-based approaches to the analysis of candidate genes and genome-wide linkage disequilibrium (LD) mapping have gained center stage. It is time to explicitly distinguish the different concepts implied in the present haplotype approaches: haplotypes are not haplotypes, after all. The distinction of three different categories, ancestral, common haplotypes or haplotype blocks, gene-based haplotypes as complex genetic markers and gene-based functional haplotypes, is proposed. These categories serve as framework to review and analyze in particular the recent work suggesting evidence for a haplotype block structure of the human genome and the body of comparative sequencing studies addressing haplotype and LD structures at the gene level. Haplotype approaches will be evaluated along the dimensions preselection of variants versus complete DNA sequence information, role of LD and stages in the process of disease gene identification. Overall, the content of haplotypes is conceived as a function of available technologies to evaluate genetic variation and general advances in human genome research.

Genetic Predisposition to Disease↗

Genomic haplotype blocks may not accurately reflect spatial variation in historic recombination intensity.

Recently, genomic data have revealed a "block-like" structure of haplotype diversity on human chromosomes. This structure is anticipated to facilitate gene mapping studies, because strong associations among loci within a block may allow haplotype variation to be tagged with a limited number of markers. But its usefulness to mapping efforts depends on the consistency of the block structure within and among populations, which in turn depends on how the block structure arises. Recombination hot spots are generally thought to underlie the block structure, but haplotype blocks can also develop stochastically under random recombination, in which case the block structure will show limited consistency among populations. Using coalescent models, which we upscaled to simulate the evolution of haplotypes with many markers at fixed distances, we show that the relationship between block boundaries and historic recombination intensity may be surprisingly weak. The majority of historic recombinations do not leave a footprint in present-day linkage disequilibrium patterns, and the block structure is sensitive to factors that affect the timing of recombination relative to marker mutation events in the genealogy, such as marker frequency bias and historic population size changes. Our results give insight into the potential of stochastic events to affect haplotype block structure, which can limit the usefulness of the block structure to mapping studies.

Animals↗

Large-scale single-nucleotide polymorphism (SNP) and haplotype analyses, using dense SNP Maps, of 199 drug-related genes in 752 subjects: the analysis of the association between uncommon SNPs within haplotype blocks and the haplotypes constructed with haplotype-tagging SNPs.

To optimize the strategies for population-based pharmacogenetic studies, we extensively analyzed single-nucleotide polymorphisms (SNPs) and haplotypes in 199 drug-related genes, through use of 4,190 SNPs in 752 control subjects. Drug-related genes, like other genes, have a haplotype-block structure, and a few haplotype-tagging SNPs (htSNPs) could represent most of the major haplotypes constructed with common SNPs in a block. Because our data included 860 uncommon (frequency <0.1) SNPs with frequencies that were accurately estimated, we analyzed the relationship between haplotypes and uncommon SNPs within the blocks (549 SNPs). We inferred haplotype frequencies through use of the data from all htSNPs and one of the uncommon SNPs within a block and calculated four joint probabilities for the haplotypes. We show that, irrespective of the minor-allele frequency of an uncommon SNP, the majority (mean +/- SD frequency 0.943+/-0.117) of the minor alleles were assigned to a single haplotype tagged by htSNPs if the uncommon SNP was within the block. These results support the hypothesis that recombinations occur only infrequently within blocks. The proportion of a single haplotype tagged by htSNPs to which the minor alleles of an uncommon SNP were assigned was positively correlated with the minor-allele frequency when the frequency was <0.03 (P<.000001; n=233 [Spearman's rank correlation coefficient]). The results of simulation studies suggested that haplotype analysis using htSNPs may be useful in the detection of uncommon SNPs associated with phenotypes if the frequencies of the SNPs are higher in affected than in control populations, the SNPs are within the blocks, and the frequencies of the SNPs are >0.03.

Computational Biology↗

Haplotype block linkage disequilibrium mapping.

Linkage disequilibrium (LD) mapping is emerging as a powerful alternative approach to identifying genes for complex disease. However, the feasibility and success of LD mapping depend largely on the extent and pattern of LD. Erratic pattern of pair-wise LD seriously compromises LD mapping. Recently discovered haplotype block structure dramatically alleviates the irregular pattern of LD and holds the promise for mapping complex disease genes. To facilitate applications of the haplotype block LD mapping, in this report we conduct theoretical analysis for haplotype block LD mapping. We present an overall LD measure of the haplotype to quantify the LD level of the haplotype block, between the haplotype blocks, and between the haplotype block and the marker locus. Most theoretical and empirical studies of the extent of LD and evaluation of the power of LD mapping have focused on pair-wise LD and single marker LD mapping. There is a lack of systematic and integrative analysis for the haplotype block LD mapping. In this report, we develop population genetic models of the haplotype blocks and analytic tools for calculation of noncentrality parameter of the statistic for the haplotype block LD mapping. We evaluate the impact of the population parameters and disease models on the power of the haplotype block LD mapping in the hope to improve its study design. We compare the powers of the single marker LD and haplotype block LD mapping. Haplotype block structure is an important discovery. Our preliminary results of theoretic analysis further demonstrate that the haplotype block LD analysis is a breakthrough in LD mapping and is a promising tool for genome-wide association studies.

Chromosome Mapping↗

Genetic variation for enzyme structure and systemic regulation in two new haplotypes of the beta-glucuronidase gene of Mus musculus castaneus.

Two new haplotypes of the [Gus] gene complex have been characterized following their transfer from Mus musculus castaneus, where they were found, to a C57BL/6J genetic background. The [GUS]CS haplotype carries a new structural allele, Gus-scs, coding for enzyme with decreased thermolability and lacking an antigenic site present in other beta-glucuronidase allozymes. The [Gus]CL haplotype carries another new structural allele, Gus-scl, that codes for enzyme with increased thermolability and possessing the antigenic site. Both CS and CL beta-glucuronidase have the same catalytic activity/molecule as the standard B allozyme from C57BL/6J mice. Mice carrying either the [Gus]CS or [Gus]CL haplotype have reduced enzyme activity in all tissues examined at all stages of development. The reduced enzyme activity is partially accounted for by reduced rates of enzyme synthesis, and the remainder probably results from increased rates of enzyme turnover. beta-Glucuronidase mRNA levels in these mice were not reduced suggesting that the observed reduction in enzyme synthesis is due to a decreased efficiency of translation for CS and CL mRNA.

Alleles↗

AACR Special Conference: SNPs, haplotypes, and cancer - applications in molecular epidemiology, Key Biscayne, Florida, USA, 13-17 September 2003.

This American Association for Cancer Research Special Conference brought together scientists with diverse expertise to address issues related to use of appropriate epidemiological, statistical, and laboratory methods to study the genetic epidemiology of cancer. Discussions focused on experiences with association studies using single nucleotide polymorphisms and haplotypes, their limitations, and what is needed to improve on the current 'state of the art'. Various studies were presented in different contexts, ranging from candidate gene studies to whole genome scans, and conducted in prospective cohorts, case-control studies, and other study designs. Common problems such as determining the probability that observed associations are false negative or false positive, the potential effects of admixture, and determining which polymorphisms to examine in which genes and in which populations were examined. Problems specific to haplotype analysis were discussed, with emphasis on haplotype block structures and on how to use haplotypes in analysis. Questions were also posed as to determining the functional relevance of single nucleotide polymorphisms in molecular epidemiology. Finally, future directions, using specific examples, were addressed.

DNA, Neoplasm↗

Redefinition of the human kappa opioid receptor gene (OPRK1) structure and association of haplotypes with opiate addiction.

The kappa opioid receptor (KOR) plays a role in stress responsivity, opiate withdrawal and responses to cocaine. KOR activation by its endogenous ligand dynorphin A(1-17) decreases basal and drug-induced striatal levels of dopamine. The complete structure of the human KOR gene (hOPRK1) has not been previously determined. This study: (i) characterized the genomic structure of the hOPRK1 gene; (ii) identified single nucleotide polymorphisms (SNPs) in the hOPRK1 gene; and (iii) investigated possible associations of these variants with vulnerability to develop heroin addiction. Analysis of 5'-RACE cDNA clones revealed the presence of a novel exon 1 ranging in length from 167 to 251 nucleotides in the 5' 5'-untranslated region of the hOPRK1 mRNA. We found that the hOPRK1 gene has four major exons and three introns, similar to rodent OPRK1 genes. Direct sequencing of amplified DNA containing all four exons and intron 1 of the hOPRK1 gene were evaluated for polymorphisms in 291 subjects (145 former heroin addicts and 146 controls). Twelve SNPs were identified, nine novel variants and three previously reported SNPs. Using logistic regression with opioid dependence as the dependent variable, the 36G>T SNP exhibited a point-wise significant association (P = 0.016) with disease status. The number of haplotypes seen in the three ethnic groups were nine, six and five for African-Americans, Caucasians, and Hispanics, respectively, with corresponding significance levels for differences in haplotype frequencies between cases and controls of P = 0.0742, 0.1015 and 0.0041. Combining ethnicities by Fisher's method yields an empirical significance level of P = 0.0020.

5' Untranslated Regions↗

Evaluation of Nyholt's procedure for multiple testing correction.

OBJECTIVE: A simple method for accounting efficiently for multiple testing of many SNPs in an association study was recently proposed by Nyholt, but its performance was not extensively evaluated. The method involves estimating an 'effective number' of independent tests and then adjusting the smallest observed p value using Sidák's formula based on this number of tests. We sought to carry out an empirical and theoretical evaluation of Nyholt's method. METHODS: Nyholt's method was applied to a sample of 31 genes typed at a total of 291 SNPs and permutation used to determine the type-I error rate for each gene. Based on our empirical results, we algebraically investigated the effective number of independent tests for a simple model of haplotype block structure. RESULTS: The nominal 5% type I error rate varied from under 3% to over 7%, and was dependent on linkage disequilibrium. Theoretical considerations show further that the method can be very conservative in the presence of haplotype block structure. CONCLUSION: Although Nyholt's approach may be useful as an exploratory tool, it is not an adequate substitute for permutation tests.

Case-Control Studies↗

Inference of missing SNPs and information quantity measurements for haplotype blocks.

MOTIVATION: Missing data in genotyping single nucleotide polymorphism (SNP) spots are common. High-throughput genotyping methods usually have a high rate of missing data. For example, the published human chromosome 21 data by Patil et al. contains about 20% missing SNPs. Inferring missing SNPs using the haplotype block structure is promising but difficult because the haplotype block boundaries are not well defined. Here we propose a global algorithm to overcome this difficulty. RESULTS: First, we propose to use entropy as a measure of haplotype diversity. We show that the entropy measure combined with a dynamic programming algorithm produces better haplotype block partitions than other measures. Second, based on the entropy measure, we propose a two-step iterative partition-inference algorithm for the inference of missing SNPs. At the first step, we apply the dynamic programming algorithm to partition haplotypes into blocks. At the second step, we use an iterative process similar to the expectation-maximization algorithm to infer missing SNPs in each haplotype block so as to minimize the block entropy. The algorithm iterates these two steps until the total block entropy is minimized. We test our algorithm in several experimental data sets. The results show that the global approach significantly improves the accuracy of the inference. AVAILABILITY: Upon request.

Algorithms↗

Armenian Y chromosome haplotypes reveal strong regional structure within a single ethno-national group.

Armenia has been little-studied genetically, even though it is situated in an important area with respect to theories of ancient Middle Eastern population expansion and the spread of Indo-European languages. We screened 734 Armenian males for 11 biallelic and 6 microsatellite Y chromosome markers, segregated them according to paternal grandparental region of birth within or close to Armenia, and compared them with data from other population samples. We found significant regional stratification, on a level greater than that found in some comparisons between different ethno-national identities. A diasporan Armenian sub-sample (collected in London) was not sufficient to describe this stratified haplotype distribution adequately, warning against the use of such samples as surrogates for the non-diasporan population in future studies. The haplotype distribution and pattern of genetic distances suggest a high degree of genetic isolation in the mountainous southern and eastern regions, while in the northern, central and western regions there has been greater admixture with populations from neighbouring Middle Eastern countries. Georgia, to the north of Armenia, also appears genetically more distinct, suggesting that in the past Trans-Caucasia may have acted as a genetic barrier. A Bayesian full-likelihood analysis of the Armenian sample yields a mean estimate for the start of population growth of 4.8 thousand years ago (95% credible interval: 2.0-11.1), consistent with the onset of Neolithic farming. The more isolated southern and eastern regions have high frequencies of a microsatellite defined cluster within haplogroup 1 that is centred on a modal haplotype one step removed from the Atlantic Modal Haplotype, the centre of a cluster found at high frequencies in England, Friesland and Atlantic populations, and which may represent a remnant paternal signal of a Paleolithic migration event.

Armenia↗

Phylogeographic structure and past history of the circum-Mediterranean species Tomicus destruens Woll. (Coleoptera: Scolytinae).

Phylogeographic studies are often focused on temperate European species with relict footholds in the Mediterranean region. Past climatic oscillations usually induced range contractions and expansions from refugial areas located in southern Europe, and spatial distribution of genetic diversity show that northward expansions were usually pioneer-like. Actually, few studies have focused on circum-Mediterranean species, which probably were not influenced in the same way by climatic oscillations. We present the phylogeography of the bark beetle Tomicus destruens, which is restricted to the whole Mediterranean basin and the Atlantic coasts of North Africa and Portugal. We systematically sequenced 617 bp of the mitochondrial genes COI and COII for 42 populations (N = 219). Analysis revealed 53 haplotypes geographically structured in two clades, namely eastern and western clades, that diverged during the Pleistocene. A contact zone was identified along the Adriatic coast of Italy. Interestingly, we found contrasting levels of genetic structure within each clade. The eastern group was characterized by a significant phylogeographic pattern and low levels of gene flow, whereas the western group barely showed a spatial structure in haplotype distribution. Moreover, the main pine hosts were different between groups, with the Aleppo-brutia complex in the east and the maritime pine in the west. Potential roles of host species, climatic parameters and geographical barriers are discussed and the phylogeographic patterns are compared to classical models of postglacial recolonization in Europe.

Animals↗

Extensive intraspecific chloroplast DNA (cpDNA) variation in the alpine Draba aizoides L. (Brassicaceae): haplotype relationships and population structure.

Chloroplast DNA (cpDNA) sequence variation is currently the most widely used tool for the inference of phylogenetic relationships among plants at all taxonomic levels. Generally, noncoding regions tend to evolve faster than coding sequences and have recently been applied to the study of phylogenetic relationships among closely related taxa. An implicit assumption of many of these studies is that intraspecific cpDNA variation is either absent or low and therefore will not interfere with the reconstruction of interspecific relationships. A survey of cpDNA sequence variation in the common alpine plant species Draba aizoides L. was undertaken to assess levels of intraspecific cpDNA sequence variation. These levels were compared to levels of interspecific sequence divergence between D. aizoides and related alpine Draba species. Intraspecific cpDNA sequence divergence was extensive in D. aizoides, and intraspecific differences were often larger than interspecific differences. cpDNA haplotype relationships were explored using a maximum parsimony approach and minimum-spanning networks. Results from both methods were largely congruent but comparisons provided interesting insights into the presumed evolutionary history of cpDNA haplotypes. A combined effect of cpDNA introgression and complex lineage sorting was inferred to explain the pattern of cpDNA variation found in D. aizoides. Our results suggest that intraspecific cpDNA variation can be extensive and that intraspecific variation needs to be taken into account when inferring phylogenetic relationships among closely related taxa.

Brassicaceae↗