The ubiquilin 1 gene and Alzheimer's disease.
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Publications and source records attributed to Eden R Martin.
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We previously reported a linkage region on chromosome 10q for age-at-onset (AAO) of Alzheimer (AD) and Parkinson (PD) diseases. Glutathione S-transferase, omega-1 (GSTO1) and the adjacent gene GSTO2, located in this linkage region, were then reported to associate with AAO of AD and PD. To examine whether GSTO1 and GSTO2 (hereafter referred to as GSTO1h) are responsible for the linkage evidence, we identified 39 families in AD that lead to our previous linkage and association findings. The evidence of linkage and association was markedly diminished after removing these 39 families from the analyses, thus providing support that GSTO1h drives the original linkage results. The maximum average AAO delayed by GSTO1h SNP 7-1 (rs4825, A nucleotide) was 6.8 (+/-4.41) years for AD and 8.6(+/-5.71) for PD, respectively. This is comparable to the magnitude of AAO difference by APOE-4 in these same AD and PD families. These findings suggest the presence of genetic heterogeneity for GSTO1h's effect on AAO, and support GSTO1h's role in modifying AAO in these two disorders.
We have previously distributed a software package, SIMLA (SIMulation of Linkage and Association), which can be used to generate disease phenotype and marker genotype data in three-generational pedigrees of user-specified structure. To our knowledge, SIMLA is the only publicly available program that can simulate variable levels of both linkage (recombination) and linkage disequilibrium (LD) between marker and disease loci in general pedigrees. While the previous SIMLA version provided flexibility in choosing many parameters relevant for linkage and association mapping of complex human diseases, it did not allow for the segregation of more than one disease locus in a given pedigree and did not incorporate environmental covariates possibly interacting with disease susceptibility genes. Here, we present an extension of the simulation algorithm characterized by a much more general penetrance function, which allows for the joint action of up to two genes and up to two environmental covariates in the simulated pedigrees, with all possible multiplicative interaction effects between them. This makes the program even more useful for comparing the performance of different linkage and association analysis methods applied to complex human phenotypes. SIMLA can assist investigators in planning and designing a variety of linkage and association studies, and can help interpret results of real data analyses by comparing them to results obtained under a user-controlled data generation mechanism.A free download of the SIMLA package is available at http://wwwchg.duhs.duke.edu/software.
Autism has a strong and complex genetic component, involving several genes. Genomic screens, including our own, have shown suggestive evidence for linkage over a 20-30 cM region on chromosome 2q31-q33. Two subsequent reports showed that the linkage evidence increased in the subset of families with phrase speech delay (PSD), defined as onset of phrase speech later than 3 years of age. To further investigate the linkage in the presumptive candidate region, microsatellite markers in a 2 cM grid covering the interval from 164 to 203 cM were analyzed in 110 multiplex (2 or more sampled autism patients) families. A maximum heterogeneity LOD (HLOD) score of 1.54 was detected at D2S1776 (173 cM) in the overall dataset (dominant model), increasing to 1.71 in the PSD subset. While not conclusive, these data continue to provide suggestive evidence for linkage, particularly considering replication by multiple independent groups. Positive LOD scores extended over the entire region, continuing to define a broad candidate interval. Association studies were performed on several functional candidates mapping within the region. These included GAD1, encoding GAD67, whose levels are reduced in autopsy brain material from autistic subjects, and STK17B, ABI2, CTLA4, CD28, NEUROD1, PDE1A, HOXD1 and DLX2. We found no evidence for significant allelic association between autism and any of these candidates, suggesting that they do not play a major role in the genetics of autism or that substantial allelic heterogeneity at any one of these loci dilutes potential disease-allele association.
Several recent case-control studies have examined the association between single nucleotide polymorphisms (SNPs) in the promoter region of the apolipoprotein E gene (APOE) and risk of Alzheimer disease (AD), with conflicting results. We assessed the relation between five APOE region SNPs and risk of AD in both case-control and family-based analyses. We observed a statistically significant association with the +5361T allele in the overall case-control analysis (P value=0.04) after adjusting for the known effect of the APOE-4 allele. Further analysis revealed this association to be limited to carriers of the APOE-4 allele. Age-stratified analyses in the patients with age at onset of 80 years or greater and age-matched controls showed that the -219T allele (P value=0.009) and the +113C allele (P value=0.03) are associated with increased risk of AD. Despite these findings, haplotype and family-based association analyses were unable to provide evidence that the APOE region SNPs influenced risk of AD independent of the APOE-4 allele. In addition to risk, we tested for association between the SNPs and age at onset of AD, but found no association in the case-control or family based analyses. In conclusion, SNPs +5361, or a SNP in strong linkage disequilibrium, may confer some additional risk for developing AD beyond the risk due to APOE-4; however, the effect independent of APOE-4 is likely to be small.
We examined the association of mtDNA variation with Alzheimer disease (AD) risk in Caucasians (989 cases and 328 controls) testing the effect of individual haplogroups and single nucleotide polymorphisms (SNPs). Logistic regression analyses were used to assess risk of haplogroups and SNPs with AD in both main effects and interaction models. Males classified as haplogroup U showed an increase in risk (OR = 2.30; 95% CI, 1.03-5.11; P = 0.04) of AD relative to the most common haplogroup H, while females demonstrated a significant decrease in risk with haplogroup U (OR = 0.44 ; 95% CI, 0.24-0.80; P = 0.007). Our results were independent of APOE genotype, demonstrating that the effect of mt variation is not confounded by APOE4 carrier status. We suggest that variations within haplogroup U may be involved in AD expression in combination with environmental exposures or nuclear proteins other than APOE.
We and others have previously detected association of the Tau H1 haplotype on chromosome 17 with risk of idiopathic Parkinson disease (PD). The H1 haplotype appears to have a fundamental importance in neurodegeneration, as multiple studies have shown it is also associated with an increased risk for progressive supranuclear palsy, corticobasal degeneration, frontotemporal lobar degeneration syndromes, and primary progressive aphasia. Therefore, to divide the H1 haplotype into sub-haplotypes that could be more significantly associated with the risk of developing PD, and to delimit the genes lying in the H1 haplotype, we analyzed 34 single nucleotide polymorphisms (SNPs) spanning over 3.15 megabases in the region containing Tau. These SNPs are located in or flank the corticotropin-releasing hormone receptor 1, presenilin homolog 2, Tau, Saitohin, and KIAA1267 genes. Analysis of linkage disequilibrium (LD) using these 34 SNPs suggests that the H1 haplotype extends over about 1.3 megabases, making it the largest region of LD reported to date. Of the 29 SNPs lying in this region of LD, 5 were identified as "haplotype tagging" SNPs (htSNPs), capturing 96% of the sample's haplotype diversity. Association analysis with these htSNPs revealed a new H1 sub-haplotype that is significantly associated with PD ( P<0.02). These results define the genes and regulatory regions included in this region of LD, containing an important susceptibility allele contributing to increased risk of neurodegeneration.
The pathogenic process responsible for the loss of dopaminergic neurons within the substantia nigra of patients with Parkinson disease (PD) is poorly understood. Current research supports the involvement of fibroblast growth factor (FGF20) in the survival of dopaminergic cells. FGF20 is a neurotrophic factor that is preferentially expressed within the substantia nigra of rat brain. The human homologue has been mapped to 8p21.3-8p22, which is within an area of PD linkage revealed through our published genomic screen. To test whether FGF20 influences risk of PD, we genotyped five single-nucleotide polymorphisms (SNPs) lying within the FGF20 gene, in a large family study. We analyzed our sample (644 families) through use of the pedigree disequilibrium test (PDT), the genotype PDT, the multilocus-genotype PDT, and the family-based association test to assess association between risk of PD and alleles, genotypes, multilocus genotypes, and haplotypes. We discovered a highly significant association of PD with one intronic SNP, rs1989754 (P=.0006), and two SNPs, rs1721100 (P=.02) and ss20399075 (P=.0008), located in the 3' regulatory region in our overall sample. Furthermore, we detected a haplotype (A-G-C-C-T) that is positively associated with risk of PD (P=.0003), whereas a second haplotype (A-G-G-G-C) was found to be negatively associated with risk of PD (P=.0009). Our results strongly support FGF20 as a risk factor for PD.
BACKGROUND: We analyzed the Genetic Analysis Workshop 13 (GAW13) simulated data to contrast and compare different methods for the genetic linkage analysis of hypertension and change in blood pressure over time. We also examined methods for incorporating covariates into the linkage analysis. We used methods for quantitative trait loci (QTL) linkage analysis with and without covariates and affected sib-pair (ASP) analysis of hypertension followed by ordered subset analysis (OSA), using variables associated with change in blood pressure over time. RESULTS: Four of the five baseline genes and one of the three slope genes were not detected by any method using conventional criteria. OSA detected baseline gene b35 on chromosome 13 when using the slope in blood pressure to adjust for change over time. Slope gene s10 was detected by the ASP analysis and slope gene s11 was detected by QTL linkage analysis as well as by OSA analysis. Analysis of null chromosomes, i.e., chromosomes without genes, did not reveal significant increases in type I error. However, there were a number of genes indirectly related to blood pressure detected by a variety of methods. CONCLUSIONS: We noted that there is no obvious first choice of analysis software for analyzing a complicated model, such as the one underlying the GAW13 simulated data. Inclusion of covariates and longitudinal data can improve localization of genes for complex traits but it is not always clear how best to do this. It remains a worthwhile task to apply several different approaches since one method is not always the best.
We previously reported genetic linkage of loci controlling age-at-onset in Alzheimer disease (AD) and Parkinson's disease (PD) to a 15 cM region on chromosome 10q. Given the large number of genes in this initial starting region, we applied the process of 'genomic convergence' to prioritize and reduce the number of candidate genes for further analysis. As our second convergence factor we performed gene expression studies on hippocampus obtained from AD patients and controls. Analysis revealed that four of the genes [stearoyl-CoA desaturase; NADH-ubiquinone oxidoreductase 1 beta subcomplex 8; protease, serine 11; and glutathione S-transferase, omega-1 (GSTO1)] were significantly different in their expression between AD and controls and mapped to the 10q age-at-onset linkage region, the first convergence factor. Using 2814 samples from our AD dataset (1773 AD patients) and 1362 samples from our PD dataset (635 PD patients), allelic association studies for age-at-onset effects in AD and PD revealed no association for three of the candidates, but a significant association was found for GSTO1 (P=0.007) and a second transcribed member of the GST omega class, GSTO2 (P=0.005), located next to GSTO1. The functions of GSTO1 and GSTO2 are not well understood, but recent data suggest that GSTO1 maybe involved in the post-translational modification of the inflammatory cytokine interleukin-1beta. This is provocative given reports of the possible role of inflammation in these two neurodegenerative disorders.
In studies of complex diseases, a common paradigm is to conduct association analysis at markers in regions identified by linkage analysis, to attempt to narrow the region of interest. Family-based tests for association based on parental transmissions to affected offspring are often used in fine-mapping studies. However, for diseases with late onset, parental genotypes are often missing. Without parental genotypes, family-based tests either compare allele frequencies in affected individuals with those in their unaffected siblings or use siblings to infer missing parental genotypes. An example of the latter approach is the score test implemented in the computer program TRANSMIT. The inference of missing parental genotypes in TRANSMIT assumes that transmissions from parents to affected siblings are independent, which is appropriate when there is no linkage. However, using computer simulations, we show that, when the marker and disease locus are linked and the data set consists of families with multiple affected siblings, this assumption leads to a bias in the score statistic under the null hypothesis of no association between the marker and disease alleles. This bias leads to an inflated type I error rate for the score test in regions of linkage. We present a novel test for association in the presence of linkage (APL) that correctly infers missing parental genotypes in regions of linkage by estimating identity-by-descent parameters, to adjust for correlation between parental transmissions to affected siblings. In simulated data, we demonstrate the validity of the APL test under the null hypothesis of no association and show that the test can be more powerful than the pedigree disequilibrium test and family-based association test. As an example, we compare the performance of the tests in a candidate-gene study in families with Parkinson disease.
Previous studies have reported conflicting results regarding the association of the Q7R polymorphism in the Saitohin gene with late-onset Alzheimer disease (AD). Given that AD is a tauopathy but no mutations or polymorphisms in Tau have been consistently associated with AD, and that Saitohin is nested in intron 9 of Tau and shares a similar expression pattern, we tested this association in 690 multiplex AD families and in a case-control sample (903 patients and 320 controls). We found no evidence of significant association of this polymorphism with risk of AD using family-based and case-control tests of association.
Mitochondrial (mt) impairment, particularly within complex I of the electron transport system, has been implicated in the pathogenesis of Parkinson disease (PD). More than half of mitochondrially encoded polypeptides form part of the reduced nicotinamide adenine dinucleotide dehydrogenase (NADH) complex I enzyme. To test the hypothesis that mtDNA variation contributes to PD expression, we genotyped 10 single-nucleotide polymorphisms (SNPs) that define the European mtDNA haplogroups in 609 white patients with PD and 340 unaffected white control subjects. Overall, individuals classified as haplogroup J (odds ratio [OR] 0.55; 95% confidence interval [CI] 0.34-0.91; P=.02) or K (OR 0.52; 95% CI 0.30-0.90; P=.02) demonstrated a significant decrease in risk of PD versus individuals carrying the most common haplogroup, H. Furthermore, a specific SNP that defines these two haplogroups, 10398G, is strongly associated with this protective effect (OR 0.53; 95% CI 0.39-0.73; P=.0001). SNP 10398G causes a nonconservative amino acid change from threonine to alanine within the NADH dehydrogenase 3 (ND3) of complex I. After stratification by sex, this decrease in risk appeared stronger in women than in men (OR 0.43; 95% CI 0.27-0.71; P=.0009). In addition, SNP 9055A of ATP6 demonstrated a protective effect for women (OR 0.45; 95% CI 0.22-0.93; P=.03). Our results suggest that ND3 is an important factor in PD susceptibility among white individuals and could help explain the role of complex I in PD expression.
BACKGROUND: Previously, we detected linkage of idiopathic Parkinson disease (PD) to the region on chromosome 6 that contains the Parkin gene (D6S305; logarithm of odds score, 5.47) in families with at least one individual with age at onset younger than 40 years (families with early-onset disease). Further study demonstrated the presence of Parkin mutations in this data set. However, previous case-control studies have reported conflicting results regarding the role of more common Parkin polymorphisms as susceptibility alleles for idiopathic PD. OBJECTIVE: To investigate the association of 7 previously studied Parkin single-nucleotide polymorphisms (SNPs) throughout the promoter and most of the open reading frame with PD in a large cohort of patients with primarily late-onset PD. METHODS: One promoter, 3 intronic, and 3 exonic Parkin SNPs were genotyped in 1580 individuals belonging to 397 families, and their association with PD was evaluated using family-based association tests. RESULTS: No significant association (P>.05) between PD and any Parkin SNP allele or genotype was detected. Haplotype analysis and stratification by age at onset or family history also failed to produce significant results. CONCLUSIONS: These results suggest that these common variants of Parkin are not associated with PD in white patients, although Parkin mutations are known to cause early- and late-onset PD.
Parkin, an E2-dependent ubiquitin protein ligase, carries pathogenic mutations in patients with autosomal recessive juvenile parkinsonism, but its role in the late-onset form of Parkinson's disease (PD) is not firmly established. Previously, we detected linkage of idiopathic PD to the region on chromosome 6 containing the Parkin gene (D6S305, logarithm of odds score, 5.47) in families with at least one subject with age at onset (AAO) younger than 40 years. Mutation analysis of the Parkin gene in the 174 multiplex families from the genomic screen and 133 additional PD families identified mutations in 18% of early-onset and 2% of late-onset families (5% of total families screened). The AAO of patients with Parkin mutations ranged from 12 to 71 years. Excluding exon 7 mutations, the mean AAO of patients with Parkin mutations was 31.5 years. However, mutations in exon 7, the first RING finger (Cys253Trp, Arg256Cys, Arg275Trp, and Asp280Asn) were observed primarily in heterozygous PD patients with a much later AAO (mean AAO, 49.2 years) but were not found in controls in this study or several previous reports (920 chromosomes). These findings suggest that mutations in Parkin contribute to the common form of PD and that heterozygous mutations, especially those lying in exon 7, act as susceptibility alleles for late-onset form of Parkinson disease.
Genomewide scanning has been used to identify chromosomal regions encoding susceptibility loci to inflammatory bowel disease (IBD). The greatest evidence for linkage to IBD has been reported for a region of chromosome 12q14 surrounding the microsatellite marker D12S83, with a logarithm of odds score of 5.47 and a positive transmission disequilibrium test, and which was subsequently named IBD2. We wished to confirm this locus by genotyping the highly polymorphic microsatellites D12S1022, D12S1056, and D12S83, spanning a continuous region on chromosome 12 of 342 kb, in a cohort of nonrelated individuals with ulcerative colitis (89 patients), Crohn disease (121 patients), and population-based control subjects (100 patients). In non-Jewish Caucasians, one D12S1022 allele, one D12S1056 genotype, and three D12S83 alleles were found to have statistically significant differences in distribution between the two disease groups and the control population. These data support a significant association of IBD with the IBD2 locus in close vicinity to the three markers studied. The replication of genetic risk loci in a case control association study may indicate susceptibility genes in this region and may facilitate identification of candidate genes for IBD. Subgroup analysis revealed a notable difference in genotype distribution among Jewish Caucasian and African American patients affected with Crohn disease when compared with similarly affected non-Jewish Caucasians. Using Fisher exact test, statistically significant distribution differences were observed for D12S1022 and D12S83. These data indicate that there may be significant genetic heterogeneity between different ethnic and racial IBD populations or may simply reflect differences in marker allele frequencies among populations.
Multiple sclerosis (MS) is a common and frequently disabling autoimmune disorder mediated by autoaggressive T cells and autoantibodies that target central nervous system myelin. While numerous studies have demonstrated a strong genetic component to MS, it has been difficult to identify the specific genes involved. Several genomic screens have been undertaken to locate such genes, but have not provided consistent gene localization, except for the MHC on chromosome 6p21 and a locus on chromosome 19q13. To determine which of the original genomic locations presented in the US genome screen could be replicated, a more detailed analysis of additional families was performed. The results, derived from a population of 266 affected individuals belonging to 98 multiplex families, continue to support linkage to chromosomes 6p21, 6q27, and 19q13 with LOD scores>3.0, and suggest that regions on chromosomes 12q23-24 and 16p13 may also harbor susceptibility loci for MS. Analysis taking into account the known HLA-DR2 association identified two additional potential linkage regions on chromosomes 7q21-22 and 13q33-34. These regions can now be targeted for detailed study to identify the underlying MS susceptibility genes.
Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system, with a complex etiology that includes a strong genetic component. The contribution of the major histocompatibility complex (MHC) has been established in numerous genetic linkage and association studies. In addition to the MHC, the chromosome 19q13 region surrounding the apolipoprotein E (APOE) gene has shown consistent evidence of involvement in MS when family-based analyses were conducted. Furthermore, several clinical reports have suggested that the APOE-4 allele may be associated with more-severe disease and faster progression of disability. To thoroughly examine the role of APOE in MS, we genotyped its functional alleles, as well as seven single-nucleotide polymorphisms (SNPs) located primarily within 13 kb of APOE, in a data set of 398 families. Using family-based association analysis, we found statistically significant evidence that an SNP haplotype near APOE is associated with MS susceptibility (P=.005). An analysis of disease progression in 614 patients with MS from 379 families indicated that APOE-4 carriers are more likely to be affected with severe disease (P=.03), whereas a higher proportion of APOE-2 carriers exhibit a mild disease course (P=.02).