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Anthony J Brookes

Publications and source records attributed to Anthony J Brookes.

At least 37 records · Page 2Linked to original sources

Lower rate of genomic variation identified in the trans-membrane domain of monoamine sub-class of Human G-Protein Coupled Receptors: the Human GPCR-DB Database.

BACKGROUND: We have surveyed, compiled and annotated nucleotide variations in 338 human 7-transmembrane receptors (G-protein coupled receptors). In a sample of 32 chromosomes from a Nordic population, we attempted to determine the allele frequencies of 80 non-synonymous SNPs, and found 20 novel polymorphic markers. GPCR receptors of physiological and clinical importance were prioritized for statistical analysis. Natural variation and rare mutation information were merged and presented online in the Human GPCR-DB database http://cyrix.cgb.ki.se. RESULTS: The average number of SNPs per 1000 bases of exonic sequence was found to be twice the average number of SNPs per Kilobase of intronic regions (2.2 versus 1.0). Of the 338 genes, 111 were single exon genes, that is, were intronless. The average number of exonic-SNPs per single-exon gene was 3.5 (n = 395) while that for multi-exon genes was 0.8 (n = 1176). The average number of variations within the different protein domain (N-terminus, internal- and external-loops, trans-membrane region, C-terminus) indicates a lower rate of variation in the trans-membrane region of Monoamine GPCRs, as compared to Chemokine- and Peptide-receptor sub-classes of GPCRs. CONCLUSIONS: Single-exon GPCRs on average have approximately three times the number of SNPs as compared to GPCRs with introns. Among various functional classes of GPCRs, Monoamine GPRCs have lower number of natural variations within the trans-membrane domain indicating evolutionary selection against non-synonymous changes within the membrane-localizing domain of this sub-class of GPCRs.

Alleles↗

Genetic analysis of the RNASEL gene in hereditary, familial, and sporadic prostate cancer.

PURPOSE: The RNASEL gene has been proposed as a candidate gene for the HPC1 locus through a positional cloning and candidate gene approach. Cosegregation between the truncating mutation E265X and disease in a hereditary prostate cancer (HPC) family and association between prostate cancer risk and the common missense variant R462Q has been reported. To additionally evaluate the possible role of RNASEL in susceptibility to prostate cancer risk, we performed a comprehensive genetic analysis of sequence variants in RNASEL in the Swedish population. EXPERIMENTAL DESIGN: Using 1624 prostate cancer cases and 801 unaffected controls, the truncating mutation E265X and five common sequence variants, including the two missense mutations R462Q and D541E, were evaluated for association between genotypes/haplotypes and prostate cancer risk. RESULTS: The prevalence of E265X carriers among unaffected controls and prostate cancer patients was almost identical (1.9 and 1.8% in controls and cases, respectively), and evidence for segregation of E265X with disease was not observed within any HPC family. Overall, the analyses of common sequence variants provided limited evidence for association with prostate cancer risk. We found a marginally significant inverse association between the missense mutation D541E and sporadic prostate cancer risk (odds ratio, 0.77; 95% confidence interval, 0.59-1.00) and reduced risk of prostate cancer in carriers of two different haplotypes being completely discordant. CONCLUSIONS: Considering the high quality in genotyping and the size of this study, these results provide solid evidence against a major role of RNASEL in prostate cancer etiology in Sweden.

Adult↗

Complex SNP-related sequence variation in segmental genome duplications.

There is uncertainty about the true nature of predicted single-nucleotide polymorphisms (SNPs) in segmental duplications (duplicons) and whether these markers genuinely exist at increased density as indicated in public databases. We explored these issues by genotyping 157 predicted SNPs in duplicons and control regions in normal diploid genomes and fully homozygous complete hydatidiform moles. Our data identified many true SNPs in duplicon regions and few paralogous sequence variants. Twenty-eight percent of the polymorphic duplicon sequences we tested involved multisite variation, a new type of polymorphism representing the sum of the signals from many individual duplicon copies that vary in sequence content due to duplication, deletion or gene conversion. Multisite variations can masquerade as normal SNPs when genotyped. Given that duplicons comprise at least 5% of the genome and many are yet to be annotated in the genome draft, effective strategies to identify multisite variation must be established and deployed.

Evolution, Molecular↗

Integrative annotation of 21,037 human genes validated by full-length cDNA clones.

The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.

Alternative Splicing↗

Sequence variation in the proximity of IDE may impact age at onset of both Parkinson disease and Alzheimer disease.

We recently reported that a linkage disequilibrium (LD) block on chromosome 10q encompassing the gene encoding insulin-degrading enzyme ( IDE) harbors sequence variants that associate with Alzheimer disease (AD). Evidence also indicated effects upon a number of quantitative indices of AD severity, including age-at-onset (AAO). Since linkage of this immediate region to AAO has been shown in both AD and Parkinson disease (PD), we have explored the possibility that polymorphism within this LD block might also influence PD. Utilizing single nucleotide polymorphisms that delineate common haplotypes from this region, we observed significant evidence of association with AAO in an Australian PD case-control sample. Analyses were complemented with AAO data from two independent Swedish AD case samples, for which previously reported findings were replicated. Results were consistent between AD and PD, suggesting the presence of equivalent detrimental and protective alleles. These data highlight a genomic region in the proximity of IDE that may contribute to AD and PD in a similar manner.

Age of Onset↗

Genetic variation in CTNNA3 encoding alpha-3 catenin and Alzheimer's disease.

Linkage studies have implicated a broad region on chromosome 10q in Alzheimer's disease (AD). A recent genetic association study has provided evidence that polymorphism in the gene encoding alpha-3 catenin (CTNNA3, referred to previously as VR22 and also known as alpha-T catenin) may underlie linkage signals. Here, to investigate this finding, markers that previously exhibited maximum evidence of association have been tested in Swedish and Scottish AD case-control samples. Across models of disease risk and in relation to multiple quantitative indices of AD pathology (CSF A beta 42 and tau levels, age-at-onset, MMSE scores, and measures of senile plaque density) no evidence was found supporting a role for these particular variants in AD. More detailed studies of regional linkage disequilibrium structure around CTNNA3 will likely be required to determine whether sequence variation in this region impacts AD.

Age of Onset↗

Variants of CYP46A1 may interact with age and APOE to influence CSF Abeta42 levels in Alzheimer's disease.

Recent studies have suggested that variants of CYP46A1, encoding cholesterol 24-hydroxylase (CYP46), confer risk for Alzheimer's disease (AD), a prospect substantiated by evidence of genetic association from several quantitative traits related to AD pathology, including cerebrospinal fluid (CSF) levels of the 42 amino-acid cleavage product of beta-amyloid (Abeta42) and the tau protein. In the present study, these claims have been explored by the genotyping of previously associated markers in CYP46A1 in three independent northern European case-control series encompassing 1323 individuals and including approximately 400 patients with measurements of CSF Abeta42 and phospho-tau protein levels. Tests of association in case-control models revealed limited evidence that CYP46A1 variants contributed to AD risk across these samples. However, models testing for potential effects upon CSF measures suggested a possible interaction of an intronic marker (rs754203) with age and APOE genotype. In stratified analyses, significant effects were evident that were restricted to elderly APOE epsilon4 carriers for both CSF Abeta42 ( P=0.0009) and phospho-tau ( P=0.046). Computational analyses indicate that the rs754203 marker probably does not impact the binding of regulatory factors, suggesting that other polymorphic sites underlie the observed associations. Our results provide an important independent replication of previous findings, supporting the existence of CYP46A1 sequence variants that contribute to variability in beta-amyloid metabolism.

Age Factors↗

Common variants of ACE contribute to variable age-at-onset of Alzheimer's disease.

Studies on the role that genetic variation may play in a complex human disease can be empowered by an assessment of both disease risk in case-control or family models and of quantitative traits that reflect elements of disease etiology. An excellent example of this can be found for the epsilon4 allele of APOE in relation to Alzheimer's disease (AD) for which association with both risk and age-at-onset (AAO) is evident. Following a recent demonstration that variants of the gene encoding angiotensin I converting enzyme ( ACE) contribute to AD risk, we have explored the potential influence of ACE upon AAO in AD. A total of 2861 individuals from three European populations, including six independent AD samples, have been examined in this study. Three single nucleotide polymorphisms (SNPs) previously demonstrated to have maximum effects upon ACE plasma levels and that span the ACE locus were genotyped in these materials. A strong effect upon AAO was observed for marker rs4343 in exon 17 ( P<0.0001), but evidence was also obtained indicating a possible independent effect of marker rs4291 ( P=0.0095) located in the ACE promoter. Effects were consistent with data from previous studies suggesting association with AD in case-control models, whereby alleles demonstrated to confer risk to disease also appear to reduce AAO. Equivalent effects were evident regardless of APOE epsilon4 carrier status and in both males and females. These results provide an important complement to existing AD risk data, confirming that ACE harbors sequence variants that contribute to aspects of AD pathology.

Age of Onset↗

Genotyping by dynamic heating of monolayered beads on a microheated surface.

A miniaturized bead-based dynamic allele-specific hybridization (DASH) approach for single-nucleotide polymorphism analysis is presented. Chips with integrated heater and temperature sensors for open-surface DNA analysis were microfabricated. Microcontact printing using a poly(dimethylsiloxane) (PDMS) stamp was employed to create monolayers of immobilized beads on the surface of the chip. This chip allows fast, well-controllable temperature ramping. The temperature distribution was homogeneous over the entire heater area. All three possible variants of an SNP site of a synthesized oligonucleotide were accurately scored using the bead-based DASH approach. Our assay has a nonoptimized temperature ramping rate of 4 degrees C-6 degrees C/min compared to earlier reported values of 2 degrees C-3 degrees C/min, thereby reducing the total analysis time by a factor of 2. Reliable DASH measurement data from areas as small as 12 x 13 microm was achieved. Our bead-based DASH approach has enabled a dramatic volume reduction and is a step towards developing a cost-effective high-throughput DASH method on arrays of single beads.

Alleles↗

Haplotype block structures show significant variation among populations.

Recent studies suggest that haplotypes tend to have block-like structures throughout the human genome. Several methods were proposed for haplotype block partitioning and for tagging single-nucleotide polymorphism (SNP) identification. In population genetics studies, several research groups compared block structures across human populations. However, the measures used to quantify population similarity are either less than satisfactory or nonexistent. In this article, we propose several similarity measures to facilitate the comparisons of haplotype structures, namely block boundaries and tagging SNPs, across populations. With these measures, we can more objectively compare haplotype block structures and tagging SNP sets between different populations. In addition, these measures allow us to compare the results of different methods for block partition and tagging SNP identification. When we applied these measures to a real data set on chromosome 10 in 16 worldwide populations, we found that in this genome region: 1) haplotype block boundaries vary among populations, with European and some African populations showing similar boundaries but other populations showing other patterns; 2) tagging SNP sets are generally similar for populations with similar haplotype block structures but differ if the block structures differ; and 3) all but one of the block finding methods we tested yield consistent results, although variations exist regarding consistency. Our tentative results show that at least in the genome region studied, it is unlikely that a common haplotype pattern exists for all human populations: many populations, even in the same geographical region, may have different haplotype patterns.

Chromosome Mapping↗

Genetic variants of ABCA1 modify Alzheimer disease risk and quantitative traits related to beta-amyloid metabolism.

Linkage studies have provided evidence that one or more loci on chromosome 9q influence Alzheimer disease (AD). The gene encoding the ATP-binding cassette A1 transporter (ABCA1) resides within proximity of previously identified linkage peaks and represents a plausible biological candidate for AD due to its central role in cellular lipid homeostasis. Several single nucleotide polymorphisms (SNPs) spanning ABCA1 have been genotyped and haplotype-based association analyses performed in four independent case-control samples, consisting of over 1,750 individuals from three European populations representing both early and late-onset AD. Prominent effects were observed for a common (H2) and rarer haplotype (H5) that were enriched in AD cases across studied populations (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.36-1.82; P<0.00001 and OR 2.90; 95% CI 2.54-3.27; P<0.00001, respectively). Two other common haplotypes in the studied region (H1 and H3) were significantly under-represented in AD cases, suggesting that they may harbor alleles that decrease disease risk (OR 0.79, 95% CI 0.64-0.94; P=0.0065 and OR 0.70, 95% CI 0.46-0.93; P=0.011, respectively). While findings were significant in both early and late-onset samples, haplotype effects were more distinct in early-onset materials. For late-onset samples, ancillary evidence was obtained that both single marker alleles and haplotypes of ABCA1 contribute to variable cerebrospinal fluid tau and beta amyloid (Abeta42) protein levels, and brain Abeta load. Results indicate that variants of ABCA1 may affect the risk of AD, providing further support for a genetic link between AD and cholesterol metabolism.

ATP Binding Cassette Transporter 1↗

Single nucleotide polymorphisms in the proximal promoter region of the adiponectin (APM1) gene are associated with type 2 diabetes in Swedish caucasians.

Adiponectin (APM1) is an adipocyte-derived peptide. The APM1 gene is located on chromosome 3q27 and linked to type 2 diabetes. In patients with type 2 diabetes, the adiponectin level in plasma is decreased in comparison to healthy subjects. To identify genetic defects of the APM1 gene that contribute to the development of type 2 diabetes, we genotyped 13 single nucleotide polymorphisms (SNPs) in 106 patients with type 2 diabetes, 325 patients with impaired glucose tolerance (IGT), and 497 nondiabetic control subjects in Swedish Caucasians by using dynamic allele-specific hybridization (DASH). We found that SNPs -11426(A/G) and -11377(G/C) in the proximal promoter region had significant differences of allele frequencies between type 2 diabetic patients and nondiabetic control subjects (P = 0.02 and P = 0.04, respectively). SNP-11426(A/G) was significantly associated with fasting plasma glucose in type 2 diabetic patients (P = 0.02) and in IGT subjects (P = 0.04), while the patients carrying CC and CG genotypes for SNP-11377(G/C) had a higher BMI than the patients with the GG genotype (P = 0.03). Haplotype analysis of 13 SNPs in the APM1 gene showed that estimates of haplotype frequencies in Swedish Caucasians are similar to those estimated in French Caucasians. However, no significant association of haplotypes with type 2 diabetes and IGT was detected in our study. The present study provides additional evidence that SNPs in the proximal promoter region of the APM1 gene contribute to the development of type 2 diabetes.

Adiponectin↗

Quantitative trait loci near the insulin-degrading enzyme (IDE) gene contribute to variation in plasma insulin levels.

Insulin-degrading enzyme (IDE) plays a principal role in the proteolysis of several peptides in addition to insulin and is encoded by IDE, which resides in a region of chromosome 10q that is linked to type 2 diabetes. Two recent studies presented genetic association data on IDE and type 2 diabetes (one positive and the other negative), but neither explored the fundamental question of whether polymorphism in IDE has a measurable influence on insulin levels in human populations. To address this possibility, 14 single nucleotide polymorphisms (SNPs) from a linkage disequilibrium block encompassing IDE have been genotyped in a sample of 321 impaired glucose tolerant and 403 nondiabetic control subjects. Analyses based on haplotypic genotypes (diplotypes), constructed with SNPs that differentiate common extant haplotypes extending across IDE, provided compelling evidence of association with fasting insulin levels (P = 0.0009), 2-h insulin levels (P = 0.0027), homeostasis model assessment of insulin resistance (P = 0.0001), and BMI (P = 0.0067), with effects exclusively evident in men. The strongest evidence for an effect of a single marker was obtained for rs2251101 (located near the 3' untranslated region of IDE) on 2-h insulin levels (P = 0.000023). Diplotype analyses, however, suggest the presence of multiple interacting trait-modifying sequences in the region. Results indicate that polymorphism in/near IDE contributes to a large proportion of variance in plasma insulin levels and correlated traits, but questions of sex specificity and allelic heterogeneity will need to be taken into consideration as the molecular basis of the observed phenotypic effects unfolds.

3' Untranslated Regions↗

Haplotypes extending across ACE are associated with Alzheimer's disease.

Numerous genes have been implicated in Alzheimer's disease (AD), but, with the exception of a demonstrated association with the epsilon 4 allele of APOE, findings have not been consistently replicated across populations. One of the most widely studied is the gene for angiotensin I converting enzyme (ACE ). A meta-analysis of published data on a common Alu indel polymorphism in ACE was performed which indicated highly significant association of the insertion allele with AD (OR 1.30; 95% CI 1.19 - 1.41; P=4 x 10(-8)). To further explore the influence of ACE on AD, several single-nucleotide polymorphisms (SNPs) were genotyped in five independent populations represented by over 3100 individuals. Analyses based upon single markers and haplotypes revealed strong evidence of association in case-control models and also in a model examining the influence of variation in ACE upon cerebrospinal fluid levels of amyloid beta42 peptide (Abeta42). The most significant evidence for association with AD was found for an SNP, A-262T, located in the ACE promoter (OR 1.64; 95% CI 1.33 -1.94; P=2 x 10(-5)). Estimates of population attributable risk for the common allele of this SNP suggest that it, or an allele in tight linkage disequilibrium (LD) with it, may contribute to as much as 35% of AD in the general population. Results support a model whereby decreased ACE activity may influence AD susceptibility by a mechanism involving beta-amyloid metabolism.

Aged↗

Further evidence for role of a promoter variant in the TNFRSF6 gene in Alzheimer disease.

The tumor necrosis factor receptor superfamily, member 6 gene (TNFRSF6) is situated on chromosome 10q, near the region indicated in several AD linkage studies. In a previous study a significant association was found between a promoter variant within the TNFRSF6 gene and Alzheimer disease (AD). To further investigate the TNFRSF6 region, 34 SNPs within 180 kb were first genotyped in an exploratory set of 121 early-onset dementia cases and 152 controls in order to establish the extent of linkage disequilibrium (LD) and the major haplotypes in the region. This analysis showed that the LD was clustered in two large blocks within each of which a limited number of haplotypes represented most of the diversity. Haplotype tagging markers were chosen and genotyped in an additional 204 late onset AD cases and 177 controls. Tests of association were performed for single markers for case/control status and for a quantitative measure of cognitive ability [Mini-Mental State Examination (MMSE) scores] within cases only. The previously associated marker, located in the promoter of TNFRSF6, now gave significant association with cognitive status in the Scottish early-onset dementia samples (p = 0.005) with the strongest signals being evident in the APOE-e4 carrier subgroup, thus providing a second independent positive result for this marker. The same marker was also significantly associated with cognitive performance in the Swedish APOE-e4 carriers (p = 0.014), providing a third independent signal. Association analysis was also performed using the major haplotypes in the region, employing both case/control status and MMSE scores. The haplotype analysis did not give further significant findings. These results together with previous data suggest that a promoter marker in TNFRSF6 plays a moderate but demonstrable role in AD etiology.

Alzheimer Disease↗

Genetic variation in a haplotype block spanning IDE influences Alzheimer disease.

Linkage studies have identified a large (>60-Mb) region on chromosome 10q that segregates with Alzheimer Disease (AD). Within the region, the gene for insulin degrading enzyme (IDE) represents a notable biological candidate given that it degrades amyloid beta-protein (one of the major constituents of senile plaques) and the intracellular amyloid precursor protein (APP) domain released by gamma-secretase processing. We have used a single nucleotide polymorphism (SNP) genetic association strategy to investigate AD in relation to a 480-kb region encompassing IDE. A 276-kb linkage disequilibrium block was revealed that spans three genes (IDE, KNSL1, and HHEX). Assessing this block in several independent sets of case-control materials (early- and late-onset AD) and focusing also upon quantitative measures that are pertinent to AD diagnosis and severity (MMSE scores, microtubule-associated protein Tau [MAPT] levels in CSF, degree of brain pathology, and age-at-onset) produced extensive evidence for significant AD association. Signals (p-values ranging from 0.05 to <1x10(-9)) were generally stronger when examining haplotypes rather than individual SNPs, and quantitative trait tests most uniformly revealed the detected associations. Consistent risk alleles and haplotypes were apparent across the study, with effects in some cases as large as that of the epsilon4 allele of APOE. A subsequent mutation screen of exons in all three suspect genes provided no evidence for common causative mutations. These results provide substantial evidence that genetic variation within or extremely close to IDE impacts both disease risk and traits related to the severity of AD.

Aged↗

DASH-2: flexible, low-cost, and high-throughput SNP genotyping by dynamic allele-specific hybridization on membrane arrays.

Genotyping technologies need to be continually improved in terms of their flexibility, cost-efficiency, and throughput, to push forward genome variation analysis. To this end, we have leveraged the inherent simplicity of dynamic allele-specific hybridization (DASH) and coupled it to recent innovations of centrifugal arrays and iFRET. We have thereby created a new genotyping platform we term DASH-2, which we demonstrate and evaluate in this report. The system is highly flexible in many ways (any plate format, PCR multiplexing, serial and parallel array processing, spectral-multiplexing of hybridization probes), thus supporting a wide range of application scales and objectives. Precision is demonstrated to be in the range 99.8-100%, and assay costs are 0.05 USD or less per genotype assignment. DASH-2 thus provides a powerful new alternative for genotyping practice, which can be used without the need for expensive robotics support.

Alleles↗