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Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations.

Linkage disequilibrium (LD) mapping offers much promise for the positional cloning of disease-causing genes. However, conventional estimates of LD may fluctuate substantially across contiguous genomic regions, because of population-specific phenomena such as mutation, genetic drift, population structure, and variations in allele frequencies. This fluctuation makes it difficult to interpret patterns of LD and distinguish where a causal gene is located. To address this issue, we propose hierarchical modeling of LD (HLD) for fine-scale mapping. This approach incorporates information on haplotype block structure and chromosomal spatial relations to refine the pattern of LD, increasing the ability to localize disease genes. Here, we present a framework for HLD, a simulation study assessing the performance of HLD under various scenarios, and an application of HLD to existing data. This work demonstrates that hierarchical modeling of linkage disequilibrium is a valuable and flexible approach for fine-scale mapping.

Chromosome Mapping↗

Genetic variability, haplotypes, and htSNPs for exons 1 at the human UGT1A locus.

UDP-Glucuronosyltransferases (UGTs) are a superfamily of enzymes responsible for glucuronidation of xenobiotics and endobiotics. Genetic polymorphisms have been identified in the promoter and exonic regions of several UGT genes. The UGT1As on chromosome 2q37 have unique exons 1 but share the remainder of their coding sequence. We screened exon 1 of each of the nine functional UGT1As in Asians (n=46) and Caucasians (n=92) with the aim of determining linkage disequilibrium (LD) and haplotypes across the entire locus in both populations. For polymorphisms in UGT 1A3, 1A4, 1A5, 1A7, and 1A8, we observed significant differences in the allele frequency between the two populations. The haplotype block structure across the UGT1A locus was constructed using all 83 polymorphisms and showed four and five haplotype blocks in Caucasians and Asians, respectively. There was long-distance LD between UGT pairs: 1A8 and 1A10; 1A1 and 1A3; 1A1 and 1A6; 1A6 and 1A7; and 1A7 and 1A9. Whereas both ethnic groups shared some haplotype-tagging SNPs (htSNPs), Caucasians and Asians also had unique htSNPs. This was partly due to the fact that rare variants (<5% allele frequency) were included in our analyses. Haplotypes with frequencies >5% represented only 60% of Caucasian and 65% of Asian UGT1A haplotypes. Differences in haplotype distribution patterns suggest individual and ethnic differences in glucuronidation capacity.

Asian People↗

Islands of tractability for parsimony haplotyping.

We study the parsimony approach to haplotype inference, which calls for finding a set of haplotypes of minimum cardinality that explains an input set of genotypes. We prove that the problem is APX-hard even in very restricted cases. On the positive side, we identify islands of tractability for the problem, by focusing on instances with specific structure of haplotype sharing among the input genotypes. We exploit the structure of those instance to give polynomial and constant-approximation algorithms to the problem. We also show that the general parsimony haplotyping problem is fixed parameter tractable.

Algorithms↗

Islands of tractability for parsimony haplotyping.

We study the parsimony approach to haplotype inference, which calls for finding a set of haplotypes of minimum cardinality that explains an input set of genotypes. We prove that the problem is APX-hard even in very restricted cases. On the positive side, we identify islands of tractability for the problem, by focusing on instances with specific structure of haplotype sharing among the input genotypes. We exploit the structure of those instance to give polynomial and constant-approximation algorithms to the problem. We also show that the general parsimony haplotyping problem is fixed parameter tractable.

Algorithms↗

Hemopoietic histocompatibility (Hh-1) regulatory and structural genes of the f haplotype map to H-2.

Natural resistance to bone marrow stem cell (BMC) grafts in lethally irradiated mice is a consequence of natural killer cell recognition and elimination of BMC that express hemopoietic histocompatibility (Hh) antigens inherited noncodominantly. The major Hh genetic region, Hh-1, maps to H-2. The phenotype of the BMC was determined by grafting BMC into panels of irradiated mice, and measuring splenic incorporation of the radioactive specific DNA precursor, 5-iodo-2'-deoxyuridine [125I] (IUdR) 5 days after cell transfer. Our previous analysis of Hh-1 antigen expression on BMC of intra-H-2 recombinant inbred strain mice indicated that Hh-1 regulatory genes (Hh-1r) map in the H-2S/H-2D interval. Nine recombinants described here shared the following: (1) the DL region was donated by H-2f that was associated with expression of determinant 2, shared with H-2d/Hh-1d, and (2) had crossovers in the S/D or Ea/S intervals or within Eb, and (3) had BMC that were Hh-1 null. F1 hybrids of crosses between mice of these recombinant strains with H-2d strain mice had BMC that expressed determinant 2, suggesting that a structural gene had been lost by the crossover event. Crosses with H-2b strain mice produced mice whose BMC were Hh-1 null, indicating that the H-2f/Hh-1f regulatory genes were still intact. We suggest that Hh-1r maps to the S/D interval of all haplotypes so far studied, even H-2f. The structural gene for the f haplotype is centromeric of Eb and may be Kf, based on recent data supporting the role of class I antigens in Hh antigen expression.

Animals↗

Tryptophan hydroxylase-1 gene variants associated with schizophrenia.

BACKGROUND: Serotonin (5-HT) has been implicated in the pathophysiology of schizophrenia. Tryptophan hydroxylase (TPH) is the rate-limiting enzyme in the biosynthesis of serotonin (5-HT), and as such it might be related to the pathogenesis of schizophrenia. Two isoforms are known, TPH-1 and TPH-2. TPH-1 association with schizophrenia is debated. METHODS: A case-control design was employed for gene-disease association in 155 schizophrenic psychosis patients and 253 healthy controls, all North European Caucasians. Six single nucleotide polymorphisms (SNPs) with a haplotype block structure spanning over 23 kb of the total TPH-1 29 kb were analyzed. Linkage disequilibrium and haplotype analyses were performed. Bonferroni correction was used for multiple testing. RESULTS: Single marker association analyses showed two SNPs significantly associated with schizophrenia. Several haplotypes were associated with the disease. A "sliding window" analysis attributed the strongest disease association to a haplotype configuration localized between the promoter region and intron 3. CONCLUSIONS: Our data indicate that TPH-1 associates with schizophrenia. It appears that specific combinations of promoter variants vis-à-vis gene transcript variants contribute to genetic predisposition to the disease.

Adult↗

Model-based inference of haplotype block variation.

The haplotype block structure of SNP variation in human DNA has been demonstrated by several recent studies. The presence of haplotype blocks can be used to dramatically increase the statistical power of genetic mapping. Several criteria have already been proposed for identifying these blocks, all of which require haplotypes as input. We propose a comprehensive statistical model of haplotype block variation and show how the parameters of this model can be learned from haplotypes and/or unphased genotype data. Using real-world SNP data, we demonstrate that our approach can be used to resolve genotypes into their constituent haplotypes with greater accuracy than previously known methods.

Algorithms↗

Haplotype block partition with limited resources and applications to human chromosome 21 haplotype data.

Recent studies have shown that the human genome has a haplotype block structure such that it can be decomposed into large blocks with high linkage disequilibrium (LD) and relatively limited haplotype diversity, separated by short regions of low LD. One of the practical implications of this observation is that only a small fraction of all the single-nucleotide polymorphisms (SNPs) (referred as "tag SNPs") can be chosen for mapping genes responsible for human complex diseases, which can significantly reduce genotyping effort, without much loss of power. Algorithms have been developed to partition haplotypes into blocks with the minimum number of tag SNPs for an entire chromosome. In practice, investigators may have limited resources, and only a certain number of SNPs can be genotyped. In the present article, we first formulate this problem as finding a block partition with a fixed number of tag SNPs that can cover the maximal percentage of the whole genome, and we then develop two dynamic programming algorithms to solve this problem. The algorithms are sufficiently flexible to permit knowledge of functional polymorphisms to be considered. We apply the algorithms to a data set of SNPs on human chromosome 21, combining the information of coding and noncoding regions. We study the density of SNPs in intergenic regions, introns, and exons, and we find that the SNP density in intergenic regions is similar to that in introns and is higher than that in exons, results that are consistent with previous studies. We also calculate the distribution of block break points in intergenic regions, genes, exons, and coding regions and do not find any significant differences.

Chromosomes, Human, Pair 21↗

A flexible Bayesian framework for modeling haplotype association with disease, allowing for dominance effects of the underlying causative variants.

Multilocus analysis of single-nucleotide-polymorphism (SNP) haplotypes may provide evidence of association with disease, even when the individual loci themselves do not. Haplotype-based methods are expected to outperform single-SNP analyses because (i) common genetic variation can be structured into haplotypes within blocks of strong linkage disequilibrium and (ii) the functional properties of a protein are determined by the linear sequence of amino acids corresponding to DNA variation on a haplotype. Here, I propose a flexible Bayesian framework for modeling haplotype association with disease in population-based studies of candidate genes or small candidate regions. I employ a Bayesian partition model to describe the correlation between marker-SNP haplotypes and causal variants at the underlying functional polymorphism(s). Under this model, haplotypes are clustered according to their similarity, in terms of marker-SNP allele matches, which is used as a proxy for recent shared ancestry. Haplotypes within a cluster are then assigned the same probability of carrying a causal variant at the functional polymorphism(s). In this way, I can account for the dominance effect of causal variants, here corresponding to any deviation from a multiplicative contribution to disease risk. The results of a detailed simulation study demonstrate that there is minimal cost associated with modeling these dominance effects, with substantial gains in power over haplotype-based methods that do not incorporate clustering and that assume a multiplicative model of disease risks.

Algorithms↗

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↗

mtDNA sequence diversity of orangutans from the islands of Borneo and Sumatra.

A comparison of mitochondrial DNA sequences was undertaken for two genes among orangutans from Borneo and Sumatra. The distribution of haplotypes among 42 individuals for NADH dehydrogenease subunit 3 and 39 individuals for cytochrome B was used to infer population structure. The haplotypes among all Bornean orangutans form a cluster of closely related individuals for both genes, with two distinct haplotypes occupying different regions of the island. Sumatran haplotypes fall into three distinct, and highly diverged, groups. Strikingly, one of the Sumatran haplotypes shares sequence identity with the most widespread Bornean haplotype. This haplotype distribution is considered in the context of the highly complex geological history for the area around the Malay Archipelago. Alternating periods of geographic isolation and reunion, resulting from glacially induced land bridge formation, presented substantial opportunity for population dispersal between periodically isolated demes. We present a paleodispersal model that is consistent with genetic, geological, paleoecological, and fossil data. The disparity of sequences present in orangutan populations argues against a simple Sumatra-Borneo dichotomy. Our evidence, and that of others, suggests that the Sumatran population alone contains the remnants of at least three separate lineages.

Animals↗

Haplotype-based analysis of alpha 2A, 2B, and 2C adrenergic receptor genes captures information on common functional loci at each gene.

The alpha 2-adrenergic receptors (alpha2-AR) mediate physiological effects of epinephrine and norepinephrine. Three genes encode alpha2-AR subtypes carrying common functional polymorphisms (ADRA2A Asn251Lys, ADRA2B Ins/Del301-303 and ADRA2C Ins/Del322-325). We genotyped these functional markers plus a panel of single nucleotide polymorphisms evenly spaced over the gene regions to identify gene haplotype block structure. A total of 24 markers were genotyped in 96 Caucasians and 96 African Americans. ADRA2A and ADRA2B each had a single haplotype block at least 11 and 16 kb in size, respectively, in both populations. ADRA2C had one haplotype block of 10 kb in Caucasians only. For the three genes, haplotype diversity and the number of common haplotypes were highest in African Americans, but a similar number of markers (3-6) per block was sufficient to capture maximum diversity in either population. For each of the three genes, the haplotype was capable of capturing the information content of the known functional locus even when that locus was not genotyped. The alpha2-AR haplotype maps and marker panels are useful tools for genetic linkage studies to detect effects of known and unknown alpha2-AR functional loci.

Black or African American↗

Population structure and its effect on haplotype diversity and linkage disequilibrium surrounding the xa5 locus of rice (Oryza sativa L.).

To assess the usefulness of linkage disequilibrium mapping in an autogamous, domesticated species, we have characterized linkage disequilibrium in the candidate region for xa5, a recessive gene conferring race-specific resistance to bacterial blight in rice. This trait and locus have good mapping information, a tractable phenotype, and available sequence data, but no cloned gene. We sampled 13 short segments from the 70-kb candidate region in 114 accessions of Oryza sativa. Five additional segments were sequenced from the adjacent 45-kb region in resistant accessions to estimate the distance at which linkage disequilibrium decays. The data show significant linkage disequilibrium between sites 100 kb apart. The presence of the xa5 resistant reaction in two ecotypes and in accessions with different haplotypes in the candidate region may indicate multiple origins or genetic heterogeneity for resistance. In addition, genetic differentiation between ecotypes emphasizes the need for controlling for population structure in the design of linkage disequilibrium studies in rice.

Genetic Variation↗

Distinguishable haplotype blocks in the HTR3A and HTR3B region in the Japanese reveal evidence of association of HTR3B with female major depression.

BACKGROUND: Genetic variations in the serotonin receptor 3A (HTR3A) and 3B (HTR3B) genes, positioned in tandem on chromosome 11q23.2, have been shown to be associated with psychiatric disorders in samples of European ancestry. But the polymorphisms highlighted in these reports map to different locations in the two genes, therefore it is unclear which gene exerts a stronger effect on susceptibility. METHODS: To determine the haplotype block structure in the genomic regions of HTR3A and HTR3B, and to examine whether genetic variations in the region show evidence of association with schizophrenia and affective disorder in the Japanese, we performed haplotype-based case-control analysis using 29 polymorphisms. RESULTS: Two haplotype blocks each were revealed for HTR3A and HTR3B in Japanese samples. In HTR3B, haplotype block 2 that included a nonsynonymous single nucleotide polymorphism (SNP), yielded evidence of association with major depression in females (global p = .0023). Analysis employing genome-wide SNPs using the STRUCTURE program did not detect population stratification in the samples. CONCLUSIONS: Our results suggest an important role for HTR3B in major depression in women and also raise the possibility that previously proposed disease-associated SNPs in the HTR3A/B region in Caucasians are in linkage disequilibrium with haplotype block 2 of HTR3B in the Japanese.

Adult↗

Identification of additional variants within the human dopamine transporter gene provides further evidence for an association with bipolar disorder in two independent samples.

The dopamine transporter (DAT) is the site of action of stimulants, and variations in the human DAT gene (DAT1) have been associated with susceptibility to several psychiatric disorders including attention deficit hyperactivity disorder (ADHD) and bipolar disorder. We have previously reported the association of bipolar disorder to novel SNPs in the 3' end of DAT1. We now report the identification of 20 additional SNPs in DAT1 for a total of 63 variants. We also report evidence for association to bipolar disorder in a second independent sample of families. Eight newly identified SNPs and 14 previously identified SNPs were analyzed in two independent samples of 50 and 70 families each using the transmission disequilibrium test. Two of the eight new SNPs, one in intron 8 and one in intron 13, were found to be moderately associated with bipolar disorder, each in one of the two independent samples. Analysis of haplotypes comprised of all 22 SNPs in sliding windows of five adjacent SNPs revealed an association to the region near introns 7 and 8 in both samples (empirical P-values 0.002 and 0.001, respectively, for the same window). The haplotype block structure observed in the gene in our previous study was confirmed in this sample with greater resolution allowing for discrimination of a third haplotype block in the middle of the gene. Together, these data are consistent with the presence of multiple variants in DAT1 that convey susceptibility to bipolar disorder.

Bipolar Disorder↗

Large Haplotypes Linked to Climate and Life History Variation in Divergent Lineages of Atlantic Salmon (Salmo salar).

Advances in sequencing are revealing that linked genomic architectures, enabling the evolution of co-adapted alleles at multiple loci, often shape complex phenotypes. Several recent studies have identified such architectures (e.g., chromosomal rearrangements and supergenes) contributing to adaptation or divergence across diverse species, from plants to mammals. Specifically, within Atlantic salmon (Salmo salar ), genomic studies are revealing large haplotypes and structural variants that may underpin local adaptation in the species. Using data from >&#x2009;4000 individuals from 134 locations spanning the North Atlantic Ocean, we identify a large (~3&#x2009;Mbp) genomic region on Ssa18 showing patterns of differentiation and linkage disequilibrium (LD) indicative of a large haplotype block containing three divergent haplotypes (herein A, B and C haplotypes). In Europe, haplotypes A and B were common, whereas A and C were more common within North America, suggesting a shared 'ancestral' A haplotype, with different continent-specific alternative haplotypes. Data support independent origins of divergent haplotypes in each continent, as well as signals of trans-oceanic introgression of haplotypes. Haplotype frequency is strongly associated with latitude, climate and life history (smolt age); however, the strength and direction of these relationships vary across continents. Overall, our analyses were consistent with other studies that identify chromosomal rearrangements; however, long-read sequence data did not find evidence of a structural variant, and instead an ancestral fusion may explain the formation and maintenance of the observed haplotypes. Our study contributes to ongoing efforts to understand the evolutionary role of linked genomic architecture in Atlantic salmon and its significance in salmonid diversification.

Climate Change↗

Crystal structure of HLA-DR2 (DRA*0101, DRB1*1501) complexed with a peptide from human myelin basic protein.

Susceptibility to multiple sclerosis is associated with the human histocompatibility leukocyte antigen (HLA)-DR2 (DRB1*1501) haplotype. The structure of HLA-DR2 was determined with a bound peptide from human myelin basic protein (MBP) that is immunodominant for human MBP-specific T cells. Residues of MBP peptide that are important for T cell receptor recognition are prominent, solvent exposed residues in the crystal structure. A distinguishing feature of the HLA-DR2 peptide binding site is a large, primarily hydrophobic P4 pocket that accommodates a phenylalanine of the MBP peptide. The necessary space for this aromatic side chain is created by an alanine at the polymorphic DRbeta 71 position. These features make the P4 pocket of HLA-DR2 distinct from DR molecules associated with other autoimmune diseases.

Binding Sites↗

High density linkage disequilibrium mapping using models of haplotype block variation.

MOTIVATION: The presence of millions of single nucleotide polymorphisms (SNPs) in the human genome has spurred interest in genetic mapping methods based on linkage disequilibrium. The recently discovered haplotype block structure of human variation promises to improve the effectiveness of these methods. A key difficulty for mapping techniques is the cost involved in separately identifying the haplotypes on each of an individual's chromosomes. RESULTS: We present a new approach for performing linkage disequilibrium mapping using high density haplotype or genotype data. Our method is based on a statistical model of haplotype block variation, which takes account of recombination hotspots, bottlenecks, genetic drift and mutation. We test our technique on two empirically determined high density datasets, attempting to recover the location of an SNP which was hidden and converted into phenotype information. We compare the results against a mapping method based on individual SNPs as well as a competing haplotype-based approach. We show that our strategy significantly outperforms these other approaches when used as a guide for resequencing and that it can also deal with both unphased genotype data and low penetrance diseases. AVAILABILITY: HaploBlock executables for Linux, Mac OS X and Sun OS, as well as user documentation, are available online at http://bioinfo.cs.technion.ac.il/haploblock/

Artificial Intelligence↗