Linkage Disequilibrium Studies Research Articles

Genetic and molecular analyses of complex metabolic disorders: genetic linkage.

Wide efforts have taken place with complex metabolic disorders to emulate the success that linkage analysis has had in explaining the nature of monogenic metabolic diseases such as MODY (maturity-onset diabetes of the young) and FH (familial hypercholesterolemia). New linkage methods are being specifically developed and tested for complex disorders since some of the basic assumptions of traditional linkage analysis used with Mendelian traits are not valid. The nature of complex diseases precludes the use of extended families under the hypothesis that the same disease allele acts in most affected individuals throughout a pedigree. Rather, a multitude of genes and of rare and common alleles creates an apparently chaotic pattern of heterogeneity within and between families. Therefore, very simple family structures, in many studies even isolated sibling pairs, form the basis of efforts to compare the inheritance of disease with that of the chromosomal regions under investigation. Also, assumptions about how individual loci contribute to the overall disease inheritance used for the models applied in linkage computation have to be kept to a minimum. The overall effect of this, together with the potentially weak influence of many loci, is a heavy toll on the statistical power to detect individual contributing genes. This may be the reason why very few scans so far have yielded disease loci that meet genome-wide significance criteria. The confirmation of original loci in secondary studies has proven, as predicted, to be very difficult. Nevertheless, the overall emerging picture is very encouraging: one of the genome scans in type 2 diabetes has been carried through to the positional cloning of the underlying genetic variant, namely, the calpain 10-associated polymorphism in type 2 diabetes. Several other loci have been detected repeatedly throughout studies in various human racial groups, such as the chromosome 1q and 20q diabetes loci, and have become the target of collaborative fine-mapping efforts. Modifications to present methodology are in development with the goal to increase statistical power: examples are the use of intermediate traits with potentially increased genetic homogeneity, the investigation of admixed populations, and the study of linkage disequilibrium over wide genomic regions.

Genetic Location of Heritable Traits Through Association Studies: A Review

In the last few years association and linkage disequilibrium studies have come to play an important role in the search for the location of genes underlying certain traits, since linkage analyses provide less accurate estimations of the positions of the genes as the complexity and rareness of the traits increase, partly due to the difficulty of getting large and informative enough samples. These approaches have been proven to be able to narrow the distance between the expected site of the locus and the nearest marker, and to reduce sample requirements in terms of size and structure when compared to those needed for linkage studies to obtain evidence for a gene's involvement. On the other hand, the lack of robustness with respect to population history and structure makes them still a subject of constant research. The kind of sample, the analysis to perform, the approach of seeking association with a particular marker versus conducting a complete scan of a wide part of the genome, the type and number of markers used, the nature of the trait (discrete or continuous), and the underlying model of the disequilibrium are some of the different factors needed to be taken into account when considering association studies. Any of them would by itself justify an individual review, but it is our intention to provide an overall perspective of the different approaches available at the current time.

BeadArray ™ Technology: Enabling an Accurate, Cost-Effective Approach to High-Throughput Genotyping

The Human Genome Project has opened the door to personalized medicine, provided that human genetic diversity can be analyzed in a high-throughput and cost-effective way Illumina has developed a genotyping system that combines very high throughput and accuracy with low cost per SNP analysis. The system uses our BeadArray platform, a high level of multiplexing, and modular, scalable automation to meet the requirements for cost-effective, genome-wide linkage disequilibrium studies. As implemented in a high-throughput genotyping service facility at Illumina, the system has a current capacity of one million SNP assays per day and is easily expandable. Each SNP call is associated with a quality score that correlates with accuracy

Regional similarities in polymorphism in the human genome extend over many megabases

The human genome exhibits extensive regional variation both in base composition and in the synonymous and nonsynonymous substitution rates of protein-coding genes. If such regional variation is due to variation in mutation rates, then levels of polymorphism should also vary across the human genome. Building on recent advances in mapping the human genome, we demonstrate regional variation in single nucleotide polymorphism density extending over many megabases. The range of local similarity in polymorphism shown by our genome-wide study is similar to the range of local similarity in base composition, and occurs over much longer distances than the variation in polymorphism revealed by studies of linkage disequilibrium.

Increased frequency of the uncommon tumor necrosis factor -857T allele in British and Dutch patients with sarcoidosis.

Interindividual variation in the expression of tumor necrosis factor (TNF)-alpha suggests the existence of functionally distinct TNF alleles, which might play a role in sarcoidosis. We investigated five potentially functional biallelic TNF promoter polymorphisms at nucleotide positions -1,031(T/C), -863(C/A), -857(C/T), -307(G/A), and -237(G/A) in two clinically well-defined groups of white patients (British [UK] and Dutch [NL]) with sarcoidosis, each with their own control subjects. Polymorphisms were determined using SSP-PCR. A total of 772 individuals were studied (96 UK patients, 354 UK control subjects, 100 NL patients, 222 NL controls). A significant increase in the rarer TNF -857T allele was found in both sarcoidosis populations. In total 25.5% of the sarcoid patients carried the TNF -857T allele versus 14.1% of the control subjects (p = 0.003, p(c) = 0.02). In the sarcoidosis group the allele frequency of this polymorphism was 13.5% versus 7.3% in the control subjects (p = 0.0003, p(c) = 0.002). Subgroup analysis showed a significant increase in the rarer TNF -307A (TNF-2) allele in patients with Löfgren's syndrome (p = 0.006, p(c) = 0.03). Our finding does not necessarily imply that the two polymorphisms relate to different functions; it may be that one or both are in linkage disequilibrium with the causal site. This requires further studies of functionality and linkage disequilibrium.

Review of bipolar molecular linkage and association studies.

This paper reviews the history of molecular genetic linkage and linkage disequilibrium (LD) or association studies of bipolar disorder (BPD). The topic is introduced with a brief discussion of various genetic concepts, including linkage and linkage disequilibrium. It is emphasized that criteria for declaring linkage must include independent confirmation by multiple groups of investigators. Given that the inherited susceptibility for BPD is most likely explained by multiple genes of small effect, simulations indicate that universal confirmation of valid linkages cannot be expected due to sampling variation and genetic heterogeneity. With this background, several valid linkages of BPD to genomic regions are reviewed, including some which may be shared with schizophrenia. These results suggest that nosology must be changed to reflect the genetic origins of the multiple disorders which are collectively described by the term, BPD. The history of BPD LD studies is reviewed, using monoamine oxidase as as an example. Some suggestions of improving these BPD LD are offered.

Vitiligo: complex segregation and linkage disequilibrium analyses with respect to microsatellite loci spanning the HLA.

Familial clustering and linkage disequilibrium studies suggest that genetic factors predispose to vitiligo, although a clear transmission pattern and cosegregation of vitiligo with specific mutations have not been demonstrated. We collected pedigree data on vitiligo from a set of 56 multigeneration families belonging to the Paisa community from Antioquia, Colombia, with the goal of applying the unified model of complex segregation and linkage disequilibrium analyses to test the hypotheses of the existence of a major gene predisposing to vitiligo and that allelic or haplotype polymorphisms of microsatellite loci at 6p21.3-21.4 spanning HLA (D6S276, D6S265, D6S273, and D6S291) are associated with this predisposition. Minimum sibship sample size to discriminate dominant and recessive inheritance models was largely accomplished. Between the 15 models of complex segregation used, the one that best fitted the data was that of a major dominant gene and the existence of strong environmental effects acting on the recessive genotype. The penetrance and risk estimations discriminated two sets of vitiligo patients: those with early onset of vitiligo cosegregating with a dominant mode of inheritance without environmental effects, and those with late onset of vitiligo cosegregating with the recessive genotype and being influenced by environmental effects. After establishing the normal distribution of allelic frequencies and performing multiple comparisons correction, the linkage disequilibrium analysis suggested that a major genetic factor could be located at 6p21.3-21.4, because we detected significant case-control differences for allele 122 at D6S265 ( Pc=0.0264) and significant linkage disequilibrium between loci D6S276 and D6S273 in the cases but not in the controls. We cannot explain these results as a consequence of evolutionary forces or as genetic stratification acting differentially on cases and controls, because there was neither deviation from the Hardy-Weinberg expectations nor genetic subdivision between cases and controls, as theta; (non-biased F(ST)) was not significantly different from 0.

Joint linkage and linkage disequilibrium mapping of quantitative trait loci in natural populations.

Linkage analysis and allelic association (also referred to as linkage disequilibrium) studies are two major approaches for mapping genes that control simple or complex traits in plants, animals, and humans. But these two approaches have limited utility when used alone, because they use only part of the information that is available for a mapping population. More recently, a new mapping strategy has been designed to integrate the advantages of linkage analysis and linkage disequilibrium analysis for genome mapping in outcrossing populations. The new strategy makes use of a random sample from a panmictic population and the open-pollinated progeny of the sample. In this article, we extend the new strategy to map quantitative trait loci (QTL), using molecular markers within the EM-implemented maximum-likelihood framework. The most significant advantage of this extension is that both linkage and linkage disequilibrium between a marker and QTL can be estimated simultaneously, thus increasing the efficiency and effectiveness of genome mapping for recalcitrant outcrossing species. Simulation studies are performed to test the statistical properties of the MLEs of genetic and genomic parameters including QTL allele frequency, QTL effects, QTL position, and the linkage disequilibrium of the QTL and a marker. The potential utility of our mapping strategy is discussed.

Mapping Genes of Complex Disease in Genetic Isolates of Daghestan

Original results of the analysis of genetic linkage between some genomic markers and two complex clinical phenotypes, schizophrenia and mental retardation, in pedigrees from Daghestan genetic isolates are described. Interpopulation differences in the epidemiology of the complex phenotypes were studied and in their genetic linkage was demonstrated. These differences are evidently related to the genetic structure of the isolates determined by their demographic history. The epidemiological index MR characterizing the lifetime morbid risk of schizophrenia varies in the Daghestan isolates studied from 0 to 4.95%, which is almost five times higher than the average worldwide population rate, 1%. Comparative genetic mapping in different isolates permitted determination of the most probable genetic linkages and associations of loci in chromosomal regions 17p11.1–12, 3q13.3, and a locus from 22q with schizophrenia and locus 12q23 with mental retardation. There is evidence that this approach is effective for detailed study of the relationship between the genetic (allele and locus) and clinical heterogeneity of complex diseases, which favors successful identification of the genes determining them. The study of linkage disequilibrium (LD) in genetic isolates of Daghestan ethnic populations (which have a common genetic background) may be an effective methodological approach for revealing the numerous contradictory results of mapping of genes of the same complex disease performed by different researchers in different regions of the world.

Experimentally-derived haplotypes substantially increase the efficiency of linkage disequilibrium studies.

The study of complex genetic traits in humans is limited by the expense and difficulty of ascertaining populations of sufficient sample size to detect subtle genetic contributions to disease. Here we introduce an application of a somatic cell hybrid construction strategy called conversion that maximizes the genotypic information from each sampled individual. The approach permits direct observation of individual haplotypes, thereby eliminating the need for collecting and genotyping DNA from family members for haplotype-based analyses. We describe experimental data that validate the use of conversion as a whole-genome haplotyping tool and evaluate the theoretical efficiency of using conversion-derived haplotypes instead of conventional genotypes in the context of haplotype-frequency estimation. We show that, particularly when phenotyping is expensive, conversion-based haplotyping can be more efficient and cost-effective than standard genotyping.

Genetic aspects of psoriasis.

Epidemiological studies indicate that genes play an important role in the pathogenesis of psoriasis. Multiple genes are likely to be involved, interacting not only with each other but also with the environment to cause disease expression. Molecular genetic studies indicate that there are multiple susceptibility loci present throughout the human genome. It is clear that a gene or genes of major impact on psoriasis is present on chromosome 6 within the major histocompatibility complex (MHC). Linkage disequilibrium studies indicate this gene to reside within a 300 kb interval centred around the centromeric end of class I MHC. Known candidate genes in this region are HLA-C, corneodesmosin and HCR, although novel genes, as yet unknown, may also exist. There is accumulating evidence that HLA-C is not itself the causative gene but rather a marker for it. Identification of the genes involved in psoriasis susceptibility will represent a step forward in our understanding of the disease and our future ability to help patients with psoriasis.

True and false positive peaks in genomewide scans: The long and the short of it.

When performing a genome scan in linkage or linkage disequilibrium studies to detect loci underlying complex or quantitative traits, it is important to attempt to distinguish between true and false positives using the appropriate statistical methods. There has been some controversy in the literature regarding the use of the length of a positive peak, i.e., the length of a chromosome region displaying identity-by-descent in linkage studies among affected individuals or the length of a continuous chromosome region for which the test statistic is above a certain threshold. We show in this study, by reasoning and by simulation studies, that conditional on the strength of evidence for a locus affecting a trait of interest, i.e., conditional on the peak height of a test statistic, there is no information in the length of the peak. Our finding has implications for linkage and association studies.

What can psychiatric genetics offer suicidology?

There is good evidence from recent studies that depression is familial, and that a substantial proportion of the variation in liability is explained by genes. Suicidal behavior, including completed suicide, also seems to cluster in families. First-degree relatives of individuals who have committed suicide (included dizygotic twins) have more than twice the risk of the general population. For identical co-twins of suicides, the relative risk increases to about 11. Applying a simple structural equation model to the published data suggests a heritability for completed suicide of about 43% (95% confidence intervals 25-60). It is not known at present whether the genes predisposing to suicide are identical with those predisposing to affective disorder, but since only about half of those committing suicide have a diagnosis of depression, it seems probable that the overlap is incomplete. The mode of inheritance of suicidal behavior is almost certain to be complex, involving many genes. There have already been some initial studies of allelic association with polymorphisms in candidate genes such as those involved in serotonergic transmission. Further progress is likely to come from candidate gene and linkage disequilibrium studies that are capable of detecting multiple genes of small effect.

Genetic aspects of schizophrenia

Schizophrenia is a disease of tremendous public health importance that affects a staggering 1% of the population. Identification of the genetic factors involved in the disease is expected to lead to improved, highly targeted treatments with fewer side effects, but it has not been forthcoming. On the contrary, it has been a task of paramount difficulties and complexities. The high degree of genetic heterogeneity associated with the disease is further complicated by the clinical heterogeneity suspected in schizophrenia and most other psychiatric disorders. Despite the difficulties, several groups around the world employ various approaches in their search for schizophrenia genes, such as linkage and linkage disequilibrium studies, candidate gene approaches, or turn to mouse models for more clues. Some general aspects of these approaches are discussed, and relevant work from our group is presented.

Evidence for linkage disequilibrium between the dopamine transporter and bipolar disorder.

A role for the dopamine transporter (DAT) in bipolar disorder is implicated by several lines of pharmacological evidence, as well as suggestive evidence of linkage at this locus, which we have reported previously. In an attempt to identify functional mutations within DAT contributing a susceptibility to bipolar disorder, we have screened the entire coding region, as well as significant portions of the adjacent non-coding sequence. Though we have not found a definitive functional mutation, we have identified a number of single nucleotide polymorphisms (SNPs) that span the gene from the distal promoter through exon 15. Of the 39 SNPs that are suitable for linkage disequilibrium (LD) studies, 14 have been analyzed by allele-specific PCR in a sample of 50 parent-proband triads with bipolar disorder. A haplotyped marker comprised of five SNPs, spanning the region between exon 9 and exon 15, was constructed for each individual, and transmission/disequilibrium test (TDT) analysis revealed this haplotype to be in linkage disequilibrium with bipolar disorder (allele-wise TDT p = 0.001, genotype-wise TDT p = 0.0004). These data replicate our previous finding of linkage to markers within and near DAT in a largely different family set, and provide further evidence for a role of DAT in bipolar disorder. Published 2001 Wiley-Liss. Inc.

New polymorphic microsatellite markers in the human MHC class II region.

The human major histocompatibility complex (MHC) class II region spans approximately 1.1 Mb and presently contains over 30 functional genes Susceptibility loci to numerous diseases, mainly of autoimmune nature are known to map to the this region, as assessed by associations with particular HLA class II alleles. However, it has been difficult to precisely localize these susceptibility loci to a single gene, for example DQB1 or DRB1, due to the tight linkage disequilibrium observed in the HLA class II region. To facilitate disease mapping within this region, we have analyzed 2 to approximately 5 bases short tandem repeats (microsatellites) in this same region. A total of 494 microsatellites were identified from the genomic sequence of the HLA class II region. These consist of 158 di-, 65 tri-, 163 tetra-, and 108 pent-nucleotide repeats, out of which four were located within the coding sequence of expressed genes (Daxx, BING1, RXRB and COL11A2). Twenty-two repeats were selected as polymorphic markers due to their high (average) number of alleles (8.9) as well as their high polymorphic content value (PIC) (0.58). These novel polymorphic microsatellites will provide useful genetic markers in HLA-related research, such as genetic mapping of HLA class II-associated diseases, transplantation matching, population genetics, identification of recombination hot spots as well as linkage disequilibrium studies.

Age and origin of the FCMD 3'-untranslated-region retrotransposal insertion mutation causing Fukuyama-type congenital muscular dystrophy in the Japanese population.

Fukuyama-type congenital muscular dystrophy (FCMD), an autosomal recessive disorder with a high prevalence in the Japanese population, is characterised by severe muscular dystrophy associated with brain malformation (cortical dysgenesis) and mental retardation. In Japan, 87% of FCMD-bearing chromosomes carry a 3-kb retrotransposal insertion of tandemly repeated sequences within the disease gene recently identified on chromosome 9q31, and most of them share a common founder haplotype. FCMD is the first human disease known to be caused primarily by an ancient retrotransposal integration. By applying two methods for the study of linkage disequilibrium between flanking polymorphic markers and the disease locus, and of its decay over time, the age of the insertion mutation causing FCMD in Japanese patients is calculated to be approximately 102 generations (95% confidence interval: 86-117 g), or slightly less. The estimated age dates the most recent common ancestor of the mutation-bearing chromosomes back to the time (or a few centuries before) the Yayoi people started migrating to Japan from the Korean peninsula. This finding makes the molecular population genetics of FCMD understandable in the context of Japan's history and the founder effect consistent with the prevalent theory on the origins of the modern Japanese population.

Genetics and the evolutionary process

Population genetics was put forward as a mathematical theory between 1918 and 1932 and played a leading part in the rediscovery of the concept of natural selection. As an autonomous science developing Mendel’s laws at the population scale and a key element of the Darwinian theory of evolution, its dual status led its practioners to initially overlook some consequences of Mendelism not accounted for by the Darwinian theory, including random drift and the cost of selection. The latter were put forward on purely theoretical grounds in the 1950s, but their importance was acknowledged only when empirical data on protein evolution and enzyme polymorphism (since 1965) and on DNA variation (since 1983) were obtained. The neutralist/selectionist debate that ensued involved disagreement over the scientific method as well as over the mechanisms of molecular evolution. Population genetics has long assumed the existence of natural selection a priori. It has since recentred around the null hypothesis that molecular evolution is neutral. This new approach, applied to sequence comparison and to the study of linkage disequilibrium, is logically more justified, yet empirical observations derived from it paradoxically show the overwhelming importance of selective effects within genomes.

The Genetics of Frontotemporal Dementia and Related Disorders

Recent advances in genetics have revolutionized our understanding of dementia. In the most common of the human dementing illnesses-Alzheimer s disease (AD)- mutations in three major genes causing rare dominantly inherited AD (APP, PS1 and PS2), and other contributory genetic risk factors, such as APOE have been identified. Although neurofibrillary tangles composed of tau protein filaments are a diagnostic feature of AD, tau mutations have not been described in AD. Frontotemporal dementia (FTD) encompasses a group of non-Alzheimers degenerative dementias affecting mainly the frontal and temporal neocortex. In contrast to AD, approximately 50PERCENT of FTD cases are inherited and linkage of families with FTD to loci on chromosomes 17 (FTDP-17) and 3 has been demonstrated. Mutations in the microtubule-associated protein tau cause most cases of chromosome 17-linked FTD, demonstrating for the first time that tau dysfunction can play a primary role in neurodegeneration. However, tau mutations have been identified in only 10-20percent of familial FTD cases and have not been demonstrated in sporadic FTD. Thus, the etiology of sporadic FTD remains unknown. Association studies have also suggested a role for tau in progressive supranuclear palsy (PSP), with tau mutations reported in two families, confirming previous pathological evidence of tau abnormalities in PSP. The results of linkage disequilibrium studies between tau and Parkinsons disease (PD), AD and other neurodegenerative disorders are more controversial. In this review, we summarize the relevant genetic aspects of FTD and related neurodegenerative disorders, focusing on studies of linkage analysis and tau mutations. Keywords: Frontotemporal Dementia, Alzheimers Disease, Parksons disease, Progressive supranuclear palsy PSP, Haman dementing illnesses, Frontotemporal dementia FTD, APOE, Non-Alzheimers Dmentias, FTDP-17

High prevalence of the very rare wilson disease gene mutation Leu708Pro in the Island of Gran Canaria (Canary Islands, Spain): A genetic and clinical study

The molecular basis of Wilson disease (WD), an autosomal recessive disorder, is the presence of mutations in the ATP7B gene, a copper transporting ATPase. Hospital records indicated a higher prevalence of WD (1 in 2,600) in some counties in the northeastern region of the island of Gran Canaria (Canary Islands, Spain) that was around 10-fold higher than that described for European populations (1 in 30,000). The ATP7B gene was analyzed for mutations in 24 affected subjects, revealing a high prevalence of the rare Leu708Pro mutation present in 12 homozygous and 7 heterozygous individuals. In these patients, who constitute one of the largest described cohorts of WD homozygotes, we found a variable clinical presentation of the disease, although the biochemical picture was homogenous and characteristic, thereby confirming that the Leu708Pro change is indeed a mutation associated with WD. Haplotype analysis of subjects homozygous for the Leu708Pro mutation showed a conserved shared region smaller than 1 centimorgan (cM), and the region of linkage disequilibrium between the Leu708Pro mutation and neighboring microsatellite markers extended approximately 4.6 cM. When comparing the amount of linkage disequilibrium versus genetic distance from the disease mutation, it was estimated that a common ancestral Leu708Pro chromosome may have been introduced in Gran Canaria over 56 generations ago, dating it back to pre-Hispanic times. The prevalence, and the tight geographical distribution of the Leu708Pro chromosome suggests that the Canary Islands can be considered a genetic isolate for linkage disequilibrium studies. (Hepatology2000;32:1329-1336.)