PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Haplotypes”

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 1,495 records · Page 83Linked to original sources

An association of candidate gene haplotypes and bleeding severity in von Willebrand disease (VWD) type 1 pedigrees.

von Willebrand disease (VWD) type 1 is difficult to diagnose because of bleeding variability and low heritability of von Willebrand factor (VWF) levels. We compared a bleeding severity score and bleeding times to candidate gene haplotypes within pedigrees of 14 index cases, using a covariance components model for multivariate traits (Mendel: QTL Association). These pedigrees included 13 affected and 40 unaffected relatives, as defined by plasma ristocetin cofactor (VWF:RCo) levels. The bleeding severity score was derived from a detailed history. Donors were genotyped using a primer extension method, and 9 candidate genes were selected for analysis. VWF:RCo levels had the strongest influence on bleeding severity score and bleeding time. ITGA2 haplotype 2 (807C) and ITGA2B haplotype 1 (Ile(843)) were each associated with increased bleeding severity scores (P < .01 and P < .01, respectively). GP6 haplotype b (Pro(219)) was also associated with increased scores (P = .03) after adjustment for donor age. No association was observed with 6 other candidate genes, GP1BA, ITGB3, VWF, FGB, IL6, or TXA2R. Increased plasma VWF:Ag levels were associated with VWF haplotype 1 (-1793G; P = .02). These results establish that genetic differences in the adhesion receptor subunits alpha(2), alpha(IIb,) and GPVI can influence the phenotype of VWD type 1.

Bleeding Time↗

Unrelated donor bone marrow transplantation for thalassemia: the effect of extended haplotypes.

Allogeneic bone marrow transplantation (BMT) from a genotypically identical family donor is an accepted therapeutic option for homozygous beta-thalassemia. However, only a minority of patients have access to this curative procedure. The aim of this study is to explore the feasibility of matched unrelated transplants in thalassemia and the possibility of reducing the risk of immunologic complications through careful selection of donor/recipient pairs. Since November 1992, 32 patients (age range, 2-28 years) have been enrolled. There were 4 patients assigned to risk-class I, 11 to risk-class II, and 17 to risk-class III of the Pesaro classification. Extended haplotype analysis and family segregation studies were employed for identification of suitable donors. Of the 32 donor/recipient pairs, 24 were identical for HLA-A, B, C, DRB1, DRB3, DRB4, DRB5, DQA1, and DQB1 loci; 7 pairs were identical for 2 extended haplotypes, and 15 pairs shared one extended haplotype. Grade II-IV acute graft-versus-host disease (GVHD) developed in 11 cases (41%) and chronic GVHD in 6 (25%) out of 24 patients at risk. There are 22 patients (69%) who are alive and transfusion-independent after a median follow-up of 30 months (range, 7-109 months). There were 6 patients (19%) who engrafted and subsequently died from transplant-related complications. In 4 cases (12.5%) graft rejection was observed within 30 days and it was followed by autologous reconstitution. Out of 22 patients with a donor identical for at least one extended haplotype, there are 19 who survived, 17 of them being transfusion-independent. Among the 10 recipients who did not share any extended haplotype with the donor, only 5 are alive without thalassemia and 3 patients died. Of the 6 patients who died, 5 belonged to risk-class III and only 1 to risk-class II. BMT from well-selected unrelated donors may offer results comparable to those obtained in transplantations using HLA-identical family donors, especially for patients with lesser iron overload.

Adolescent↗

Geographic distribution of haplotype diversity at the bovine casein locus.

The genetic diversity of the casein locus in cattle was studied on the basis of haplotype analysis. Consideration of recently described genetic variants of the casein genes which to date have not been the subject of diversity studies, allowed the identification of new haplotypes. Genotyping of 30 cattle breeds from four continents revealed a geographically associated distribution of haplotypes, mainly defined by frequencies of alleles at CSN1S1 and CSN3. The genetic diversity within taurine breeds in Europe was found to decrease significantly from the south to the north and from the east to the west. Such geographic patterns of cattle genetic variation at the casein locus may be a result of the domestication process of modern cattle as well as geographically differentiated natural or artificial selection. The comparison of African Bos taurus and Bos indicus breeds allowed the identification of several Bos indicus specific haplotypes (CSN1S1*C-CSN2*A2-CSN3*AI / CSN3*H) that are not found in pure taurine breeds. The occurrence of such haplotypes in southern European breeds also suggests that an introgression of indicine genes into taurine breeds could have contributed to the distribution of the genetic variation observed.

Animals↗

Analysis of concordance of different haplotype block partitioning algorithms.

BACKGROUND: Different classes of haplotype block algorithms exist and the ideal dataset to assess their performance would be to comprehensively re-sequence a large genomic region in a large population. Such data sets are expensive to collect. Alternatively, we performed coalescent simulations to generate haplotypes with a high marker density and compared block partitioning results from diversity based, LD based, and information theoretic algorithms under different values of SNP density and allele frequency. RESULTS: We simulated 1000 haplotypes using the standard coalescent for three world populations--European, African American, and East Asian--and applied three classes of block partitioning algorithms--diversity based, LD based, and information theoretic. We assessed algorithm differences in number, size, and coverage of blocks inferred under different conditions of SNP density, allele frequency, and sample size. Each algorithm inferred blocks differing in number, size, and coverage under different density and allele frequency conditions. Different partitions had few if any matching block boundaries. However they still overlapped and a high percentage of total chromosomal region was common to all methods. This percentage was generally higher with a higher density of SNPs and when rarer markers were included. CONCLUSION: A gold standard definition of a haplotype block is difficult to achieve, but collecting haplotypes covered with a high density of SNPs, partitioning them with a variety of block algorithms, and identifying regions common to all methods may be the best way to identify genomic regions that harbor SNP variants that cause disease.

Algorithms↗

Comparative analysis of haplotype association mapping algorithms.

BACKGROUND: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross between two strains with substantially different phenotype and an interval mapping method to compute confidence intervals at each position in the genome. This process requires significant resources for breeding and genotyping, and the data generated are usually only applicable to one phenotype of interest. Recently, we reported the application of a haplotype association mapping method which utilizes dense genotyping data across a diverse panel of inbred mouse strains and a marker association algorithm that is independent of any specific phenotype. As the availability of genotyping data grows in size and density, analysis of these haplotype association mapping methods should be of increasing value to the statistical genetics community. RESULTS: We describe a detailed comparative analysis of variations on our marker association method. In particular, we describe the use of inferred haplotypes from adjacent SNPs, parametric and nonparametric statistics, and control of multiple testing error. These results show that nonparametric methods are slightly better in the test cases we study, although the choice of test statistic may often be dependent on the specific phenotype and haplotype structure being studied. The use of multi-SNP windows to infer local haplotype structure is critical to the use of a diverse panel of inbred strains for QTL mapping. Finally, because the marginal effect of any single gene in a complex disease is often relatively small, these methods require the use of sensitive methods for controlling family-wise error. We also report our initial application of this method to phenotypes cataloged in the Mouse Phenome Database. CONCLUSION: The use of inbred strains of mice for QTL mapping has many advantages over traditional methods. However, there are also limitations in comparison to the traditional linkage analysis from F2 and RI lines. Application of these methods requires careful consideration of algorithmic choices based on both theoretical and practical factors. Our findings suggest general guidelines, though a complete evaluation of these methods can only be performed as more genetic data in complex diseases becomes available.

Algorithms↗

Haplotype-sharing analysis using Mantel statistics for combined genetic effects.

We applied a new approach based on Mantel statistics to analyze the Genetic Analysis Workshop 14 simulated data with prior knowledge of the answers. The method was developed in order to improve the power of a haplotype sharing analysis for gene mapping in complex disease. The new statistic correlates genetic similarity and phenotypic similarity across pairs of haplotypes from case-control studies. The genetic similarity is measured as the shared length between haplotype pairs around a genetic marker. The phenotypic similarity is measured as the mean corrected cross-product based on the respective phenotypes. Cases with phenotype P1 and unrelated controls were drawn from the population of Danacaa. Power to detect main effects was compared to the X2-test for association based on 3-marker haplotypes and a global permutation test for haplotype association to test for main effects. Power to detect gene x gene interaction was compared to unconditional logistic regression. The results suggest that the Mantel statistics might be more powerful than alternative tests.

Haplotypes↗

Comparisons of methods for linkage analysis and haplotype reconstruction using extended pedigree data.

We compare and contrast the performance of SIMPLE, a Monte Carlo based software, with that of several other methods for linkage and haplotype analyses, focusing on the simulated data from the New York City population. First, a whole-genome scan study based on the microsatellite markers was performed using GENEHUNTER. Because GENEHUNTER had to drop individuals for many of the pedigrees, we performed a follow-up study focusing on several regions of interest using SIMPLE, which can handle all pedigrees in their entirety. Second, 3 haplotyping programs, including that in SIMPLE, were used to reconstruct haplotypic configurations in pedigrees. SIMPLE emerges clearly as a preferred tool, as it can handle large pedigrees and produces haplotypic configurations without double recombinant haplotypes. For this study, we had knowledge of the simulating models at the time we performed the analysis.

Chromosome Mapping↗

A survey of current software for haplotype phase inference.

In the past two years, tracking the explosion in data due to ever-improving single nucleotide polymorphism (SNP) maps and cheaper high-throughput genotyping technologies, a bewildering array of new algorithms and relevant software have appeared for haplotype phase inference. The alternatives to haplotype inference are to resolve haplotypes completely, either by in vitro methods or by typing close pedigrees, which is expensive and is not guaranteed in pedigrees, or to ignore haplotype-level analysis in favour of genotype-level analysis, which avoids the danger of treating inferred haplotypes as real but denies the researcher, potentially, any valuable analytic insights. This review attempts a snapshot of this rapidly moving field as it stands at present, and is mainly restricted, given the current predominance of SNP genotyping, to the consideration of diallelic data. For completeness, the review will occasionally refer to algorithms for which no software exists.

Algorithms↗

The impact of sample size and marker selection on the study of haplotype structures.

Several studies of haplotype structures in the human genome in various populations have found that the human chromosomes are structured such that each chromosome can be divided into many blocks, within which there is limited haplotype diversity. In addition, only a few genetic markers in a putative block are needed to capture most of the diversity within a block. There has been no systematic empirical study of the effects of sample size and marker set on the identified block structures and representative marker sets, however. The purpose of this study was to conduct a detailed empirical study to examine such impacts. Towards this goal, we have analysed three representative autosomal regions from a large genome-wide study of haplotypes with samples consisting of African-Americans and samples consisting of Japanese and Chinese individuals. For both populations, we have found that the sample size and marker set have significant impact on the number of blocks and the total number of representative markers identified. The marker set in particular has very strong impacts, and our results indicate that the marker density in the original datasets may not be adequate to allow a meaningful characterisation of haplotype structures. In general, we conclude that we need a relatively large sample size and a very dense marker panel in the study of haplotype structures in human populations.

Black or African American↗

Haplotype analysis of common variants in the BRCA1 gene and risk of sporadic breast cancer.

INTRODUCTION: Truncation mutations in the BRCA1 gene cause a substantial increase in risk of breast cancer. However, these mutations are rare in the general population and account for little of the overall incidence of sporadic breast cancer. METHOD: We used whole-gene resequencing data to select haplotype tagging single nucleotide polymorphisms, and examined the association between common haplotypes of BRCA1 and breast cancer in a nested case-control study in the Nurses' Health Study (1323 cases and 1910 controls). RESULTS: One haplotype was associated with a slight increase in risk (odds ratio 1.18, 95% confidence interval 1.02-1.37). A significant interaction (P = 0.05) was seen between this haplotype, positive family history of breast cancer, and breast cancer risk. Although not statistically significant, similar interactions were observed with age at diagnosis and with menopausal status at diagnosis; risk tended to be higher among younger, pre-menopausal women. CONCLUSIONS: We have described a haplotype in the BRCA1 gene that was associated with an approximately 20% increase in risk of sporadic breast cancer in the general population. However, the functional variant(s) responsible for the association are unclear.

Adult↗

Family-based association tests suggest linkage between surfactant protein B (SP-B) (and flanking region) and respiratory distress syndrome (RDS): SP-B haplotypes and alleles from SP-B-linked loci are risk factors for RDS.

Genetic variants of surfactant protein B (SP-B) have been associated with respiratory distress syndrome (RDS) in the prematurely born infant. We wished to determine linkage between RDS and SP-B single nucleotide polymorphisms (SNPs) [-18 (A/C), 1013 (A/C), 1580 (C/T), and 9306 (A/G)] or SP-B-linked microsatellite [(D2S388, D2S2232, (AAGG)n, and GATA41E01 (or D2S1331)] loci and identify susceptibility or protective alleles and haplotypes. We genotyped 132 families consisting of one or two parents and at least one child affected with RDS and performed biallelic and multiallelic family-based association test (FBAT) analysis, and extended transmission disequilibrium test (ETDT). ETDT analysis identified the microsatellite SP-B-linked loci (except D2S2232) to be linked to RDS. One allele from each of these three marker loci contributes to the risk of RDS. Multiallelic FBAT analysis detected a signal of linkage for the region of the four SNP loci. Three haplotypes within this region contribute to RDS risk. Although no other region showed significant linkage as judged by multiallelic FBAT, biallelic FBAT analysis revealed three potential susceptibility haplotypes formed by two to four loci within the SP-B and SP-B-linked microsatellite region. Each haplotype included GATA41E01, which was identified by ETDT analysis to be linked to RDS. We conclude that SP-B or SP-B-linked loci are linked to RDS and certain alleles or haplotypes are susceptibility or protective factors for the development of RDS in infants born prematurely.

Adult↗

Specific CAPN10 gene haplotypes influence the clinical profile of polycystic ovary patients.

Recently, several research groups have evaluated CAPN10 gene in polycystic ovarian syndrome (PCOS) patients and other phenotypes, including hirsutism or intermediate phenotypes of PCOS. Molecular genetic analysis of CAPN10 gene indicates that different alleles may play a role in PCOS susceptibility and could be associated with idiopathic hirsutism. However, these observations are not exempt from controversy, because independent studies cannot replicate these preliminary findings. We present a haplotype-phenotype correlation study of CAPN10 haplotypes in 148 women showing ecographically detected polycystic ovaries (PCO) combined with one or more of these clinical symptoms: amenorrhea or severe oligomenorrhea, hyperandrogenism, and anovulatory infertility, as well as 93 unrelated controls. We have reconstructed and analyzed 482 CAPN10 haplotypes in patients and controls. We detected the association of UCSNP-44 allele with PCO phenotype in the Spanish population (P = 0.02). In addition, we identified several CAPN10 alleles associated to phenotypic differences observed between PCO patients, such as the presence of hypercholesterolemia (haplotype 1121, P = 0.005), presence of hyperandrogenic features (P = 0.05), and familial cancer incidence (haplotype 1111, P = 0.0005). Our results confirm the association of UCSNP-44 allele with PCO phenotype in the Spanish population. Moreover, we have identified novel candidate risk alleles and genotypes, within CAPN10 gene, that could be associated with important phenotypic and prognosis differences observed in PCOS patients.

Amenorrhea↗

Broad spectrum of Pompe disease in patients with the same c.-32-13T->G haplotype.

BACKGROUND: Pompe disease (acid maltase deficiency, glycogen storage disease type II; OMIM 232300) is an autosomal recessive lysosomal storage disorder characterized by acid alpha-glucosidase deficiency due to mutations in the GAA gene. Progressive skeletal muscle weakness affects motor and respiratory functions and is typical for all forms of Pompe disease. Cardiac hypertrophy is an additional fatal symptom in the classic infantile subtype. c.-32-13T-->G is the most common mutation in adults. OBJECTIVE: To delineate the disease variation among patients with this mutation and to define the c.-32-13T-->G haplotypes in search for genotype-phenotype correlations. METHODS: We studied 98 compound heterozygotes with a fully deleterious mutation (11 novel mutations are described) and the common c.-32-13T-->G mutation. RESULTS: All patients were Caucasian. None had the classic infantile form of Pompe disease. The clinical course varied far more than anticipated (age at diagnosis <1 to 78 years; age at onset: <1 to 52 years). The acid alpha-glucosidase activities in a subset of patients ranged from 4 to 19.9 nmol/mg/h. Twelve different c.-32-13T-->G haplotypes were identified based on 17 single-nucleotide polymorphisms located in the GAA gene. In 76% of the cases, c.-32-13T-->G was encountered in the second most common GAA core haplotype (DHRGEVVT). In only one case was c.-32-13T-->G encountered in the major GAA core haplotype (DRHGEIVT). CONCLUSION: Patients with the same c.-32-13T-->G haplotype (c.q. GAA genotype) may manifest first symptoms at different ages, indicating that secondary factors may substantially influence the clinical course of patients with this mutation.

Adolescent↗

Polymorphic DNA haplotypes at the human low-density lipoprotein receptor gene locus in Koreans.

Many low-density lipoprotein (LDL) receptor mutations have been identified and characterized, demonstrating a high degree of allelic heterogeneity at this locus. The ability to identify mutant LDL-receptor genes for prenatal diagnosis of familial hypercholesterolemia (FH) or to study the role of the LDL-receptor gene in polygenic hypercholesterolemia requires the use of closely linked restriction fragment lenghth polymorphisms (RFLPs). In the present study nine different RFLPs (TaqI, StuI, HincII, BstEII, AvaII, PvuII, MspIA, MspIB, and NcoI) and a sequence variation at Arg450 were used to clarify the characteristics of the LDL-receptor gene in Koreans. A total of 978 LDL-receptor alleles from 244 members of 43 different pedigrees (15 normal and 28 FH pedigrees) and 245 individuals (187 normal and 58 FH) were analyzed. Frequencies of these polymorphisms did not differ significantly between controls and FH patients. Individually, seven sites--TaqI, BstEII, AvaII, MspIA, MspIB, NcoI and Arg450--had heterozygosity indices ranging from 0.3610 to 0.4601, whereas the PvuII site displayed low levels of polymorphism and StuI was monomorphic. Haplotypes were constructed for 215 individuals of 13 normal and 24 FH pedigrees using the nine polymorphisms. Of 512 (= 2(9)) possible combinations for the nine polymorphic sites, 39 unique haplotypes were detected. The frequency distribution of individual haplotypes ranged from 1/155 (0.65%) to 40/155 (25.8%). The four most common haplotypes accounted for 59.4% of those sampled. Statistical analysis of the haplotypes indicated marked linkage disequilibrium for these 10 sites and throughout the region containing the LDL-receptor gene. Owing to the high degree of linkage disequilibrium over the entire locus, not all RFLPs were informative. We rank each RFLP according to its informativeness and present a strategy for the optimal selection of RFLPs for pedigree analysis.

Genetics, Population↗

Red cell genetic abnormalities, beta-globin gene haplotypes, and APOB polymorphism in the Great Andamanese, a primitive Negrito tribe of Andaman and Nicobar Islands, India.

The Great Andamanese are a primitive Negrito tribe of the Andaman and Nicobar Islands, India, with a total population of 37. We studied 29 individuals from eight families from this population for abnormal hemoglobins, G6PD deficiency, DNA haplotypes, and apolipoprotein B (APOB, gene) polymorphism. Hb E was detected in five individuals, the prevalence of Hb E heterozygotes being 14.3%. One individual had beta-thalassemia trait. One female was G6PD deficient and showed the G6PD Orissa mutation. Haplotype analysis of the beta-globin gene cluster showed that the betaE chromosomes were linked to two haplotypes (- - - - - + + and + + - + + + +) representing the framework 1 gene, whereas the betaA chromosomes showed eight different haplotypic patterns corresponding to framework 1 and 3 genes. APOB polymorphism analysis showed that the 631-base-pair (bp) allele was the predominant one with a high homozygosity rate, which could be due to the higher rate of inbreeding in this isolated group. The presence of Hb E and our findings on haplotype analysis supports the hypothesis that the Great Andamanese are reasonably believed to be the surviving representatives of the Negrito race that once flourished in the entire Southeast Asian region in ancient times.

Adolescent↗

Minimal sharing of Y-chromosome STR haplotypes among five endogamous population groups from western and southwestern India.

We attempt to address the issue of genetic variation and the pattern of male gene flow among and between five Indian population groups of two different geographic and linguistic affiliations using Y-chromosome markers. We studied 221 males at three Y-chromosome biallelic loci and 184 males for the five Y-chromosome STRs. We observed 111 Y-chromosome STR haplotypes. An analysis of molecular variance (AMOVA) based on Y-chromosome STRs showed that the variation observed between the population groups belonging to two major regions (western and southwestern India) was 0.17%, which was significantly lower than the level of genetic variance among the five populations (0.59%) considered as a single group. Combined haplotype analysis of the five STRs and the biallelic locus 92R7 revealed minimal sharing of haplotypes among these five ethnic groups, irrespective of the similar origin of the linguistic and geographic affiliations; this minimal sharing indicates restricted male gene flow. As a consequence, most of the haplotypes were population specific. Network analysis showed that the haplotypes, which were shared between the populations, seem to have originated from different mutational pathways at different loci. Biallelic markers showed that all five ethnic groups have a similar ancestral origin despite their geographic and linguistic diversity.

Chromosomes, Human, Y↗

Direct molecular haplotyping of the IVS-8 poly(TG) and polyT repeat tracts in the cystic fibrosis gene by melting curve analysis of hybridization probes.

BACKGROUND: Molecular haplotyping is a developing technology with great potential for use in clinical diagnostics. We describe a haplotyping method that uses PCR combined with hybridization probes. METHODS: We designed a LightCycler assay that uses fluorescence resonance energy transfer hybridization probes to haplotype the poly(TG) and polyT (TG-T) tract in the IVS-8 region of the CFTR gene. The reporter probe was designed as a perfect match to the TG12-5T allele. RESULTS: Analysis of 132 samples revealed 9 unique derivative melting temperatures (Tms); the lowest was 42.4 degrees C and the highest was 63.6 degrees C. The lowest Tms were in the TGn-9T group, the intermediate Tms in the TGn-7T group, and the highest Tms in the TGn-5T group. Haplotype frequencies were highest (39%) for TG11-7T and lowest (0.4%) for TG13-5T. CONCLUSIONS: Different combinations of polymorphisms under the reporter hybridization probe had unique and characteristic Tms. This property enables genotyping as well as determination of the phase of multiple variants under the probe, a principle we demonstrated by haplotyping the TG-T repeat tract in the IVS-8 region of the CFTR gene.

Cystic Fibrosis↗

Haplotype thinking in lung disease.

To identify the genetic etiology of a disease of interest, disease-related characteristics (phenotypes) are often tested for association with genetic variants (genotypes). Although genetic association studies of single genetic variants have been widely performed, there has been increasing interest in studies of multiple adjacent genetic variants on one chromosome, known as a haplotype. In this review, we will provide background about the origin of haplotypes and why they can be useful in genetic studies; we will discuss approaches to determining haplotypes and performing haplotype-based genetic association studies; and we will compare single variant and haplotype-based approaches.

Genetic Linkage↗