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PubMed1982

An investigation of the immune response of homozygotes for the Rh haplotype --D-- and related haplotypes. Using cells of rare Rh phenotypes.

Immune sera from people homozygous for the "deleted" gene complexes --D--, cD--, CwD--, . D . and (C)Div-- as well as heterozygous --D--/--- --- --- were studied by their reactions, and in some cases by absorption-elution tests, with cells of the following rare Rh types: two unrelated examples of homozygous . D .; three unrelated examples of Rhmod; homozygous R33; cDe with a very weak e; apparent CwD(e)/--D--. The results showed that these immune sera are clearly heterogeneous: this heterogeneity was not entirely due to the strength of the antibody (as determined by titration against CDe/cDE cells) or to the phenotype of the antibody maker. Absorption and elution tests using two of the immune sera and . D ./. D . cells demonstrated a "new" antibody, anti-Dav, for a high frequency Rh antigen in addition to anti-Rh17.

Antibody Formation↗
PubMed2004

Comparison of the accuracy of methods of computational haplotype inference using a large empirical dataset.

BACKGROUND: Analyses of genetic data at the level of haplotypes provide increased accuracy and power to infer genotype-phenotype correlations and evolutionary history of a locus. However, empirical determination of haplotypes is expensive and laborious. Therefore, several methods of inferring haplotypes from unphased genotypic data have been proposed, but it is unclear how accurate each of the methods is or which methods are superior. The accuracy of some of the leading methods of computational haplotype inference (PL-EM, Phase, SNPHAP, Haplotyper) are compared using a large set of 308 empirically determined haplotypes based on 15 SNPs, among which 36 haplotypes were observed to occur. This study presents several advantages over many previous comparisons of haplotype inference methods: a large number of subjects are included, the number of known haplotypes is much smaller than the number of chromosomes surveyed, a range in values of linkage disequilibrium, presence of rare SNP alleles, and considerable dispersion in the frequencies of haplotypes. RESULTS: In contrast to some previous comparisons of haplotype inference methods, there was very little difference in the accuracy of the various methods in terms of either assignment of haplotypes to individuals or estimation of haplotype frequencies. Although none of the methods inferred all of the known haplotypes, the assignment of haplotypes to subjects was about 90% correct for individuals heterozygous for up to three SNPs and was about 80% correct for up to five heterozygous sites. All of the methods identified every haplotype with a frequency above 1%, and none assigned a frequency above 1% to an incorrect haplotype. CONCLUSIONS: All of the methods of haplotype inference have high accuracy and one can have confidence in inferences made by any one of the methods. The ability to identify even rare (>/= 1%) haplotypes is reassuring for efforts to identify haplotypes that contribute to disease in a significant proportion of a population. Assignment of haplotypes is relatively accurate among subjects heterozygous for up to 5 sites, and this might be the largest number of SNPs for which one should define haplotype blocks or have confidence in haplotype assignments.

Algorithms↗
PubMed2004

HAPLORE: a program for haplotype reconstruction in general pedigrees without recombination.

MOTIVATION: Haplotype reconstruction is an essential step in genetic linkage and association studies. Although many methods have been developed to estimate haplotype frequencies and reconstruct haplotypes for a sample of unrelated individuals, haplotype reconstruction in large pedigrees with a large number of genetic markers remains a challenging problem. METHODS: We have developed an efficient computer program, HAPLORE (HAPLOtype REconstruction), to identify all haplotype sets that are compatible with the observed genotypes in a pedigree for tightly linked genetic markers. HAPLORE consists of three steps that can serve different needs in applications. In the first step, a set of logic rules is used to reduce the number of compatible haplotypes of each individual in the pedigree as much as possible. After this step, the haplotypes of all individuals in the pedigree can be completely or partially determined. These logic rules are applicable to completely linked markers and they can be used to impute missing data and check genotyping errors. In the second step, a haplotype-elimination algorithm similar to the genotype-elimination algorithms used in linkage analysis is applied to delete incompatible haplotypes derived from the first step. All superfluous haplotypes of the pedigree members will be excluded after this step. In the third step, the expectation-maximization (EM) algorithm combined with the partition and ligation technique is used to estimate haplotype frequencies based on the inferred haplotype configurations through the first two steps. Only compatible haplotype configurations with haplotypes having frequencies greater than a threshold are retained. RESULTS: We test the effectiveness and the efficiency of HAPLORE using both simulated and real datasets. Our results show that, the rule-based algorithm is very efficient for completely genotyped pedigree. In this case, almost all of the families have one unique haplotype configuration. In the presence of missing data, the number of compatible haplotypes can be substantially reduced by HAPLORE, and the program will provide all possible haplotype configurations of a pedigree under different circumstances, if such multiple configurations exist. These inferred haplotype configurations, as well as the haplotype frequencies estimated by the EM algorithm, can be used in genetic linkage and association studies. AVAILABILITY: The program can be downloaded from http://bioinformatics.med.yale.edu.

Algorithms↗
PubMed2006

Quantifying bias due to allele misclassification in case-control studies of haplotypes.

OBJECTIVES: Genotyping errors can induce biases in frequency estimates for haplotypes of single nucleotide polymorphisms (SNPs). Here, we considered the impact of SNP allele misclassification on haplotype odds ratio estimates from case-control studies of unrelated individuals. METHODS: We calculated bias analytically, using the haplotype counts expected in cases and controls under genotype misclassification. We evaluated the bias due to allele misclassification across a range of haplotype distributions using empirical haplotype frequencies within blocks of limited haplotype diversity. We also considered simple two- and three-locus haplotype distributions to understand the impact of haplotype frequency and number of SNPs on misclassification bias. RESULTS: We found that for common haplotypes (>5% frequency), realistic genotyping error rates (0.1-1% chance of miscalling an allele), and moderate relative risks (2-4), the bias was always towards the null and increases in magnitude with increasing error rate, increasing odds ratio. For common haplotypes, bias generally increased with increasing haplotype frequency, while for rare haplotypes, bias generally increased with decreasing frequency. When the chance of miscalling an allele is 0.5%, the median bias in haplotype-specific odds ratios for common haplotypes was generally small (<4% on the log odds ratio scale), but the bias for some individual haplotypes was larger (10-20%). Bias towards the null leads to a loss in power; the relative efficiency using a test statistic based upon misclassified haplotype data compared to a test based on the unobserved true haplotypes ranged from roughly 60% to 80%, and worsened with increasing haplotype frequency. CONCLUSIONS: The cumulative effect of small allele-calling errors across multiple loci can induce noticeable bias and reduce power in realistic scenarios. This has implications for the design of candidate gene association studies that utilize multi-marker haplotypes.

Alleles↗
PubMed2007

KIR haplotype content at the allele level in 77 Northern Irish families.

There has been an explosion in population studies determining the frequency of KIR genes. However, there is still limited knowledge of allele and haplotype frequencies in different populations. The present study aims to determine the haplotype frequencies using allele information on ten genes and presence/absence of the other seven genes in the parents of 77 families. There were 26 of 154 different genotypes without using allele information and 143 of 154 different genotypes using allele information. These genotypes came from 96 of 308 different haplotypes. Of these, 41 were A and 55 were B. Forty-nine haplotypes occurred only once. In total, 181 (58.8%) of haplotypes were A and 127 (41.2%) were B. Three different haplotypes carried two copies of KIR2DL4, two different haplotypes were truncated with both KIR2DL4 and KIR3DL1/S1 missing, and three different haplotypes were negative for both KIR2DL2 and KIR2DL3; two of these haplotypes carried KIR2DS2. A further haplotype, present in two individuals, appeared to have two alleles of KIR2DL5A present. The percentages of individuals who were homozygous for the A haplotype, heterozygous for the A and B haplotype and homozygous for the B haplotype were 35.1%, 47.4% and 17.5% respectively. The genes KIR3DL1, KIR2DS4 and KIR2DL3 were present on 31, 32 and 15 different B haplotypes, respectively, and 64, 65 and 40 of the total B haplotypes, respectively. Sixty B haplotypes had both KIR3DL1 and KIR2DS4, and four haplotypes had KIR2DS4 and KIR2DL3. However, in 40 of 41 different and 180 of 181 total A haplotypes, KIR3DL1, KIR2DS4 and KIR2DL3 were all present (we did not allele-type for KIR2DL1 and therefore could not determine presence/absence on those haplotypes). At the allele level, homozygosity was found in 22.1%, 9.7% and 12.6% for KIR2DL4, KIR3DL2 and KIR3DL1 genes, respectively, but 62.6% and 53% for KIR2DL3 and KIR2DS4 genes, respectively, despite the fact that no one allele dominated the frequency in any of these genes.

Alleles↗
PubMed2005

Accounting for haplotype uncertainty in matched association studies: a comparison of simple and flexible techniques.

Population-based case-control studies measuring associations between haplotypes of single nucleotide polymorphisms (SNPs) are increasingly popular, in part because haplotypes of a few "tagging" SNPs may serve as surrogates for variation in relatively large sections of the genome. Due to current technological limitations, haplotypes in cases and controls must be inferred from unphased genotypic data. Using individual-specific inferred haplotypes as covariates in standard epidemiologic analyses (e.g., conditional logistic regression) is an attractive analysis strategy, as it allows adjustment for nongenetic covariates, provides omnibus and haplotype-specific tests of association, and can estimate haplotype and haplotype x environment interaction effects. In principle, some adjustment for the uncertainty in inferred haplotypes should be made. Via simulation, we compare the performance (bias and mean squared error of haplotype and haplotype x environment interaction effect estimates) of several analytic strategies using inferred haplotypes in the context of matched case-control data. These strategies include using only the most likely haplotype assignment, the expectation substitution approach described by Stram et al. ([2003b] Hum. Hered. 55:179-190) and others, and an improper version of multiple imputation. For relatively uncomplicated haplotype structures and moderate haplotype relative risks (</=2), all methods performed comparably well (small bias with appropriately-sized confidence intervals). For larger relative risks, the most likely haplotype and multiple imputation strategies showed noticeable bias towards the null; the expectation substitution strategy still performed well. When there was more uncertainty in the inferred haplotypes, the most likely and multiple imputation strategies showed even more bias towards the null, while the expectation substitution method had slightly smaller than nominal confidence intervals for larger relative risks (>/=5). An application to progesterone-receptor haplotypes and endometrial cancer further illustrates that the performance of all these methods depends on how well the observed haplotypes "tag" the unobserved causal variant.

Algorithms↗
PubMed2007

Linked vs unlinked markers: multilocus microsatellite haplotype-sharing as a tool to estimate gene flow and introgression.

We have explored the use of multilocus microsatellite haplotypes to study introgression from cultivated (Malus domestica) into wild apple (Malus sylvestris), and to study gene flow among remnant populations of M. sylvestris. A haplotype consisted of alleles at microsatellite loci along one chromosome. As destruction of haplotypes through recombination occurs much faster than loss of alleles due to genetic drift, the lifespan of a multilocus haplotype is much shorter than that of the underlying alleles. When different populations share the same haplotype, this may indicate recent gene flow between populations. Similarly, haplotypes shared between two species would be a strong signal for introgression. As the expected lifespan of a haplotype depends on the strength of the linkage, the length [in centiMorgans (cM)] of the haplotype shared contains information on the number of generations passed. This application of shared haplotypes is distinct from using haplotype-sharing to detect association between markers and a certain trait. We inferred haplotypes for four to eight microsatellite loci on Linkage Group 10 of apple from genotype data using the program phase, and then identified those haplotypes shared between populations and species. Compared with a Bayesian analysis of unlinked microsatellite loci using the program structure, haplotype-sharing detected a partially different set of putative hybrids. Cultivated haplotypes present in M. sylvestris were short (< 1.5 cM), indicating that introgression had taken place many generations ago, except for two Belgian plants that contained a haplotype of 47.1 cM, indicating recent introgression. In the estimation of gene flow, F(ST) based on unlinked loci indicated small (0.032-0.058) but statistically significant differentiation between some populations only. However, various M. sylvestris haplotypes were shared in nearly all pairwise comparisons of populations, and their length indicated recent gene flow. Hence, all Dutch populations should be considered as one conservation unit. The added value of using sharing of multilocus microsatellite haplotypes as a source of population genetic information is discussed.

Belgium↗
PubMed2004

Characterisation of SNP haplotype structure in chemokine and chemokine receptor genes using CEPH pedigrees and statistical estimation.

Chemokine signals and their cell-surface receptors are important modulators of HIV-1 disease and cancer. To aid future case/control association studies, aim to further characterise the haplotype structure of variation in chemokine and chemokine receptor genes. To perform haplotype analysis in a population-based association study, haplotypes must be determined by estimation, in the absence of family information or laboratory methods to establish phase. Here, test the accuracy of estimates of haplotype frequency and linkage disequilibrium by comparing estimated haplotypes generated with the expectation maximisation (EM) algorithm to haplotypes determined from Centre d'Etude Polymorphisme Humain (CEPH) pedigree data. To do this, they have characterised haplotypes comprising alleles at 11 biallelic loci in four chemokine receptor genes (CCR3, CCR2, CCR5 and CCRL2), which span 150 kb on chromosome 3p21, and haplotyes of nine biallelic loci in six chemokine genes [MCP-1(CCL2), Eotaxin(CCL11), RANTES(CCL5), MPIF-1(CCL23), PARC(CCL18) and MIP-1alpha(CCL3)] on chromosome 17q11-12. Forty multi-generation CEPH families, totalling 489 individuals, were genotyped by the TaqMan 5'-nuclease assay. Phased haplotypes and haplotypes estimated from unphased genotypes were compared in 103 grandparents who were assumed to have mated at random. For the 3p21 single nucleotide polymorphism (SNP) data, haplotypes determined by pedigree analysis and haplotypes generated by the EM algorithm were nearly identical. Linkage disequilibrium, measured by the D' statistic, was nearly maximal across the 150 kb region, with complete disequilibrium maintained at the extremes between CCR3-Y17Y and CCRL2-I243V. D'-values calculated from estimated haplotypes on 3p21 had high concordance with pairwise comparisons between pedigree-phased chromosomes. Conversely, there was less agreement between analyses of haplotype frequencies and linkage disequilibrium using estimated haplotypes when compared with pedigree-phased haplotypes of SNPs on chromosome 17q11-12. These results suggest that, while estimations of haplotype frequency and linkage disequilibrium may be relatively simple in the 3p21 chemokine receptor cluster in population samples, the more complex environment on chromosome 17q11-12 will require a higher resolution haplotype analysis.

Algorithms↗
PubMed2000

Atypical beta(s) haplotypes are generated by diverse genetic mechanisms.

The majority of the chromosomes with the beta(S) gene have one of the five common haplotypes, designated as Benin, Bantu, Senegal, Cameroon, and Arab-Indian haplotypes. However, in every large series of sickle cell patients, 5-10% of the chromosomes have less common haplotypes, usually referred to as "atypical" haplotypes. In order to explore the genetic mechanisms that could generate these atypical haplotypes, we extended our analysis to other rarely studied polymorphic markers of the beta(S)-gene cluster, in a total of 40 chromosomes with uncommon haplotypes from Brazil and Cameroon. The following polymorphisms were examined: seven restriction site polymorphisms of the epsilongammadeltabeta-cluster, the pre-(G)gamma framework sequence including the 6-bp deletion/insertion pattern, HS-2 LCR (AT)xR(AT)y and pre-beta (AT)xTy repeat motifs, the GC/TT polymorphism at -1105-1106 of (G)gamma-globin gene, the C/T polymorphism at -551 of the beta-globin gene, and the intragenic beta-globin gene framework. Among the Brazilian subjects, the most common atypical structure (7/16) was a Bantu 3'-subhaplotype associated with different 5'-sequences, while in two chromosomes a Benin 3'-subhaplotype was associated with two different 5'-subhaplotypes. A hybrid Benin/Bantu configuration was also observed. In three chromosomes, the atypical haplotype differed from the typical one by the change of a single restriction site. In 2/134 chromosomes identified as having a typical Bantu RFLP-haplotype, a discrepant LCR repeat sequence was observed, probably owing to a crossover 5' to the epsilon-gene. Among 80 beta(S) chromosomes from Cameroon, 22 were associated with an atypical haplotype. The most common structure was represented by a Benin haplotype (from the LCR to the beta-gene) with a non-Benin segment 3' to the beta-globin gene. In two cases a Bantu LCR was associated with a Benin haplotype and a non-Benin segment 3' to the beta-globin gene. In three other cases, a more complex structure was observed that can be considered as a hybrid of Benin, Bantu, Senegal, or other chromosomes was observed. These data suggest that the atypical beta(S) haplotypes are not uncommon in America and in Africa. These haplotypes are probably generated by a variety of genetic mechanisms including (a) isolated nucleotide changes in one of the polymorphic restriction sites, (b) simple and double crossovers between two typical beta(S) haplotypes or much more frequently between a typical beta(S) haplotype and a different beta(A)-associated haplotype that was present in the population, and (c) gene conversions.

Anemia, Sickle Cell↗
PubMed2025

&#x3b2;1- and &#x3b2;2-adrenergic Receptor Haplotypes Regulate Therapeutic Responses to Placebo and the Biased Ligand &#x3b2;-blocker Bucindolol.

BACKGROUND: ADRB1 and ADRB2, encoding cardiac myocyte &#x3b2;1- and &#x3b2;2-adrenergic receptors (ARs) that mediate pathologic myocardial remodeling in response to chronically increased signaling, contain N-terminus haplotype variants capable of influencing agonist- or biased ligand-induced receptor internalization that uncouples canonical signaling and initiates EGFR/ERK1/2 cardioprotection. METHODS: In two heart failure (HF) clinical trial genetic substudies we investigated effects of internalizing vs. internalization-resistant ADRB1/ADRB2 haplotypes on clinical or biomarker responses to the biased ligand &#x3b2;-blocker bucindolol vs. placebo or vs. the nonbiased &#x3b2;1-antagonist metoprolol, and in haplotyped isolated human heart preparations we measured ERK1/2 activation in response to these same interventions. RESULTS: In subjects with &#x2265;3 internalizing ADRB1+ADRB2 haplotypes (6.7% subcohort) placebo treatment was associated with fewer clinical events compared to subjects with internalization-resistant haplotypes (Odds Ratio (OR) 0.28, 95% CI (0.10, 0.82)). In contrast, placebo treatment in subjects with &#x2265;3 internalization-resistant haplotypes (70% subcohort) was associated with more clinical events in comparison to subjects with internalizing haplotype counterparts (OR 1.64 (1.46, 1.84)). Bucindolol treatment was equal to placebo in the &#x2265;3 internalizing subcohort, but was superior to placebo in the internalization-resistant subcohort (bucindolol vs. placebo OR 0.49 (0.41, 0.58)). In subjects with all 4 haplotypes internalization-resistant (25% subcohort), bucindolol vs. placebo reduced time to first event rates by 62.3&#xb1;17.5% (P <0.01, 1.68&#xb1;0.34 fold > the all-haplotypes parent population and additive to 1.92&#xb1;0.58 fold when the ADRB1 haplotype contained Arg389 rather than Gly389). The same bucindolol vs. placebo pattern was observed for NT-proBNP or norepinephrine reduction vs. metoprolol. In these comparisons ADRB2 and ADRB1 haplotypes behaved similarly, and although the haplotypes differed in frequency between Black and non-Black subjects, within haplotypes there were no by-race differences in therapeutic effects. Bucindolol but not metoprolol activated ERK1/2 signaling in isolated ventricular preparations with &#x2265;3 internalization-resistant haplotypes. CONCLUSIONS: 1) Both &#x3b2;1- and &#x3b2;2-AR haplotypes regulate therapeutic responses in HF; internalizing species confer protection against clinical events in placebo-treated subjects, while in internalization-resistant haplotypes the biased ligand &#x3b2;-blocker bucindolol but not the non-biased ligand metoprolol is associated with favorable effects. 2) The biased ligand cardioprotective effect may be related to internalization-dependent or -independent ERK1/2 activation.

Beta Adrenergic Receptors↗
PubMed2006

Estimate haplotype frequencies in pedigrees.

BACKGROUND: Haplotype analysis has gained increasing attention in the context of association studies of disease genes and drug responsivities over the last years. The potential use of haplotypes has led to the initiation of the HapMap project which is to investigate haplotype patterns in the human genome in different populations. Haplotype inference and frequency estimation are essential components of this endeavour. RESULTS: We present a two-stage method to estimate haplotype frequencies in pedigrees, which includes haplotyping stage and estimation stage. In the haplotyping stage, we propose a linear time algorithm to determine all zero-recombinant haplotype configurations for each pedigree. In the estimation stage, we use the expectation-maximization (EM) algorithm to estimate haplotype frequencies based on these haplotype configurations. The experiments demonstrate that our method runs much faster and gives more credible estimates than other popular haplotype analysis software that discards the pedigree information. CONCLUSION: Our method suggests that pedigree information is of great importance in haplotype analysis. It can be used to speedup estimation process, and to improve estimation accuracy as well. The result also demonstrates that the whole haplotype configuration space can be substituted by the space of zero-recombinant haplotype configurations in haplotype frequency estimation, especially when the considered haplotype block is relatively short.

Base Sequence↗
PubMed2003

Beta-globin gene cluster haplotypes in sickle cell patients from southwest Iran.

Sickle cell anemia in Iran is accompanied by a high level of HbF and mild clinical presentation. Here we report haplotypes of the beta gene cluster found in 81 randomly selected sickle cell patients, including 47 sickle cell anemia (SS), 17 sickle cell trait (AS), and 17 sickle/thalassemia (S/thal) from southwest Iran. We found all five common typical haplotypes as well as five atypical haplotypes in our patients. Except for four patients with homozygous Benin haplotype, none of the other African typical haplotypes were found in a homozygous state. Arab-Indian was found to be the most prevalent haplotype in the study population. This haplotype accounted for 51.1% as the homozygous form in SS patients, where 69.1% of chromosomes in these patients had the Arab-Indian haplotype. Bantu A2 was the second most prevalent haplotype among all patients. The mean %HbF in SS patients was 27.83 and in the homozygous Arab-Indian haplotype it was still higher (30.40%), while in AS patients the %HbF was only 1.20. The high %Ggamma chain (71.81) in the Arab-Indian homozygous haplotype was concomitant with the presence of an Xmn I site in both chromosomes. The presence of the Arab-Indian haplotype as the predominant haplotype might be suggestive of a gene flow to/from Saudi Arabia or India. More haplotype investigations of a normal population can clarify the high incidence of Bantu A2 haplotype in our population.

Adolescent↗
PubMed1999

Ancestral Asian source(s) of new world Y-chromosome founder haplotypes.

Haplotypes constructed from Y-chromosome markers were used to trace the origins of Native Americans. Our sample consisted of 2,198 males from 60 global populations, including 19 Native American and 15 indigenous North Asian groups. A set of 12 biallelic polymorphisms gave rise to 14 unique Y-chromosome haplotypes that were unevenly distributed among the populations. Combining multiallelic variation at two Y-linked microsatellites (DYS19 and DXYS156Y) with the unique haplotypes results in a total of 95 combination haplotypes. Contra previous findings based on Y- chromosome data, our new results suggest the possibility of more than one Native American paternal founder haplotype. We postulate that, of the nine unique haplotypes found in Native Americans, haplotypes 1C and 1F are the best candidates for major New World founder haplotypes, whereas haplotypes 1B, 1I, and 1U may either be founder haplotypes and/or have arrived in the New World via recent admixture. Two of the other four haplotypes (YAP+ haplotypes 4 and 5) are probably present because of post-Columbian admixture, whereas haplotype 1G may have originated in the New World, and the Old World source of the final New World haplotype (1D) remains unresolved. The contrasting distribution patterns of the two major candidate founder haplotypes in Asia and the New World, as well as the results of a nested cladistic analysis, suggest the possibility of more than one paternal migration from the general region of Lake Baikal to the Americas.

Asia↗
PubMed1989

Haplotypes that are mosaic for wild-type and t complex-specific alleles in wild mice.

Two outstanding problems pertaining to the population dynamics and evolution of the t complex in mice concern the frequency of t haplotypes in the wild and the degree to which these haplotypes recombine with their wild-type homologs. To address these problems, the frequency and distribution of several t complex-associated restriction fragment variants in wild mice were estimated. Sixty-four versions of chromosome 17 from wild-derived Mus musculus musculus and Mus musculus domesticus were examined with DNA probes for six loci within the t complex that exhibit restriction fragment variation. All six probes detect variants that have heretofore been found exclusively associated with the t complex. Haplotype analysis of wild-derived chromosomes revealed a high frequency (45.3%) of "mosaic" haplotypes with a mixture of t-specific and wild-type variants and only one haplotype with t-specific variants at all six loci. When 12 well-characterized t haplotypes isolated from diverse geographic regions were analyzed, only three had a complete set of t-specific restriction fragments for the six loci examined. The preponderance of mosaic haplotypes in both groups of mice can be explained by any one of the following hypotheses: genetic recombination between t haplotypes and their wild-type homologs, the persistence in wild populations of haplotypes that have descended from ancestral partial t haplotypes, or that the restriction fragment variants fixed in the ancestral t haplotype were also fixed in some wild-type haplotypes. There is evidence to support all three of these hypotheses in our data. The allelic composition of some mosaic haplotypes indicates that they may have been formed by segmental recombination, either double crossing over or gene conversion, rather than by simple single crossovers. The occurrence of indistinguishable mosaic haplotypes in both M. m. musculus and M. m. domesticus suggests that these haplotypes are ancestral rather than recently derived.

Alleles↗
PubMed2004

Power of direct vs. indirect haplotyping in association studies.

Haplotype analysis is essential to studies of the genetic factors underlying human disease, but requires a large sample size of phase-known data. Recently, directly haplotyping individuals was suggested as a means of maximizing the phase-known data from a sample. Haplotyping, however, is much more labor-intensive than indirectly inferring haplotypes from genotypes (genotyping). This study uses simulations to compare the power of each methodology to detect associations between a haplotype and a trait or disease locus under conditions of varying linkage disequilibrium. The relative power of haplotyping over genotyping in association studies increases with decreasing sample size, decreasing linkage disequilibrium, increasing [corrected] numbers of marker loci, and decreasing numbers of different haplotypes. In addition, the frequency of the haplotype of interest and the magnitude of its association with the disease affect the power. From a cost-benefit standpoint, genotyping would be favored with large multiplicative risks (relative risk of haplotype >2.5). If case numbers are limiting rather than cost, haplotyping would maximize the information obtained. At small haplotype frequencies (e.g., <0.05), haplotyping is relatively more efficient, but there is little absolute power to detect associations under either methodology. Given the much larger laboratory resources required for direct haplotyping, genotyping would probably be favored under most conditions, but this must be balanced against the unit costs associated with recruitment and phenotyping. In the context of multipurpose, prospective cohort studies (e.g., the UK Biobank study), there may be a general value in establishing a series of directly haplotyped individuals to serve as controls for a number of alternative studies.

Algorithms↗