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Biomedical subjects

Jurg Ott

Publications and source records attributed to Jurg Ott.

16 recordsLinked to original sources

Age-related macular degeneration--a genome scan in extended families.

We performed a genomewide scan and genetic linkage analysis, to identify loci associated with age-related macular degeneration (AMD). We collected 70 families, ranging from small nuclear families to extended multigenerational pedigrees and consisting of a total of 344 affected and 217 unaffected members available for genotyping. We performed linkage analyses using parametric and allele-sharing models. We performed the analyses on the complete pedigrees but also subdivided the families into nuclear pedigrees. Finally, to dissect potential genetic factors responsible for differences in disease manifestation, we stratified the sample by two major AMD phenotypes (neovascular AMD and geographic atrophy) and by age of affected family members at the time of our evaluation. We have previously demonstrated linkage between AMD and 1q25-31 in a single large family. In the combined sample, we have detected the following loci with scores exceeding a LOD=2 cutoff under at least one of the models considered: 1q31 (HLOD=2.07 at D1S518), 3p13 (HLOD=2.19 at D3S1304/D3S4545), 4q32 (HLOD=2.66 at D4S2368, for the subset of families with predominantly dry AMD), 9q33 (LODZlr=2.01 at D9S930/D9S934), and 10q26 (HLOD=3.06 at D10S1230). Using correlation analysis, we have found a statistically significant correlation between LOD scores at 3p13 and 10q26, providing evidence for epistatic interactions between the loci and, hence, a complex basis of AMD. Our study has identified new loci that should be considered in future mapping and mutational analyses of AMD and has strengthened the evidence in support of loci suggested by other studies.

Aging↗

Efficiency of single-nucleotide polymorphism haplotype estimation from pooled DNA.

The efficiency of single-nucleotide polymorphism haplotype analysis may be increased by DNA pooling, which can dramatically reduce the number of genotyping assays. We develop a method for obtaining maximum likelihood estimates of haplotype frequencies for different pool sizes, assess the accuracy of these estimates, and show that pooling DNA samples is efficient in estimating haplotype frequencies. Although pooling K individuals increases ambiguities, at least for small pool size K and small numbers of loci, the uncertainty of estimation increases <K times that of unpooled DNA. We also develop the asymptotic variance-covariance of maximum likelihood estimates and evaluate the accuracy of variance estimates by Monte Carlo methods. When the sample size of pools is moderately large, the asymptotic variance estimates are rather accurate. Completely or partially missing genotyping information is allowed for in our analysis. Finally, our methods are applied to single-nucleotide polymorphisms in the angiotensinogen gene.

Algorithms↗

SNP haplotype tagging from DNA pools of two individuals.

BACKGROUND: DNA pooling is a technique to reduce genotyping effort while incurring only minor losses in accuracy of allele frequency estimates for single nucleotide polymorphism (SNP) markers. RESULTS: We present an algorithm for reconstructing haplotypes (alleles for multiple SNPs on same chromosome) from pools of two individual DNAs, in which Hardy-Weinberg equilibrium conditions or other assumptions are not required. The program outputs, in addition to inferred haplotypes, a minimal number of haplotype-tagging SNPs that are identified after an exhaustive search procedure. CONCLUSION: Our method and algorithms lead to a significant reduction in genotyping effort, for example, in case-control disease association studies while maintaining the possibility of reconstructing haplotypes under very general conditions.

Algorithms↗

Desmoglein 4 in hair follicle differentiation and epidermal adhesion: evidence from inherited hypotrichosis and acquired pemphigus vulgaris.

Cell adhesion and communication are interdependent aspects of cell behavior that are critical for morphogenesis and tissue architecture. In the skin, epidermal adhesion is mediated in part by specialized cell-cell junctions known as desmosomes, which are characterized by the presence of desmosomal cadherins, known as desmogleins and desmocollins. We identified a cadherin family member, desmoglein 4, which is expressed in the suprabasal epidermis and hair follicle. The essential role of desmoglein 4 in skin was established by identifying mutations in families with inherited hypotrichosis, as well as in the lanceolate hair mouse. We also show that DSG4 is an autoantigen in pemphigus vulgaris. Characterization of the phenotype of naturally occurring mutant mice revealed disruption of desmosomal adhesion and perturbations in keratinocyte behavior. We provide evidence that desmoglein 4 is a key mediator of keratinocyte cell adhesion in the hair follicle, where it coordinates the transition from proliferation to differentiation.

Animals↗

Amino acid substitutions in the human genome: evolutionary implications of single nucleotide polymorphisms.

Functional differences between amino acids have long been of interest in understanding protein evolution. Several indices exist for comparing residues on the basis of their physicochemical properties and frequencies of occurrence in conserved protein alignments. Here we present a residue dissimilarity index based on coding single nucleotide polymorphisms (SNPs) in the human genome. The index represents an average, organism-wide set of differences between residues and provides important insight into evolutionary restraints on residue substitutions in the human genome. Unlike previous models, it is not restricted to highly conserved protein structures, nor confounded by evolutionary differences between species. Our results confirm earlier observations regarding residue mutabilities but also suggest that in addition to the established key properties, such as size and polarity, charge conservation may be an important and currently underestimated factor in protein evolution. We also estimate that less than 51% of amino acid substitutions occurring in the human genome are evolutionarily neutral.

Amino Acid Substitution↗

Lack of an association of apolipoprotein E gene polymorphisms with familial age-related macular degeneration.

BACKGROUND: Previously, the epsilon 4 allele of apolipoprotein E (APOE) was reported to have a significant association with a decreased risk of age-related macular degeneration (AMD). In addition, the epsilon 2 allele of APOE was reported to be possibly associated with an increased risk of AMD. OBJECTIVE: To determine if APOE polymorphisms, previously reported to be associated with AMD, affect its expression in medium to large families, as well as in unrelated patients with AMD. METHODS: The APOE genotype was determined by HhaI restriction digests of polymerase chain reaction-amplified products in a collection of 259 affected and 207 unaffected individuals from 56 AMD families. Genotypes were determined similarly in a set of 104 unrelated AMD patients and in 113 unaffected control subjects. Diagnosis of AMD was based on clinical examination and evaluation of fundus photographs. Evidence of an association between alleles of APOE and AMD in families was tested by the following 4 statistical methods: chi2 analysis of simple allele counting, logistic regression analysis adjusting for age, construction of likelihood ratios of haplotype frequencies, and the pedigree disequilibrium test. RESULTS: None of the statistical methods used showed a significant association between the common alleles of APOE and AMD in our collection of families or in the set of unrelated AMD patients. CONCLUSIONS: No evidence was found to support an association between AMD in medium to large families and the epsilon 4 or epsilon 2 alleles of APOE. Neither was any evidence found for an association of APOE polymorphisms with the set of unrelated patients with AMD. However, a trend for a decreased risk of AMD associated with APOE epsilon 4 was observed in the set of unrelated patients with a family history of AMD.

Aged↗

Mathematical multi-locus approaches to localizing complex human trait genes.

Statistical analysis methods for gene mapping originated in counting recombinant and non-recombinant offspring, but have now progressed to sophisticated approaches for the mapping of complex trait genes. Here, we outline new statistical methods that capture the simultaneous effects of multiple gene loci and thereby achieve a more global view of gene action and interaction than is possible by traditional gene-by-gene analysis. We aim to show that the work of statisticians goes far beyond the running of computer programs.

Biometry↗

Familial juvenile hyperuricaemic nephropathy (FJHN): linkage analysis in 15 families, physical and transcriptional characterisation of the FJHN critical region on chromosome 16p11.2 and the analysis of seven candidate genes.

Familial juvenile hyperuricaemic nephropathy (FJHN) is an autosomal dominant renal disease characterised by juvenile onset of hyperuricaemia, gouty arthritis, and progressive renal failure at an early age. Recent studies in four kindreds showed linkage of a gene for FJHN to the same genomic interval on chromosome 16p11.2, where the gene for the phenotypically similar medullary cystic disease type 2 (MCKD2) has been localised. In this study we performed linkage analysis in additional 15 FJHN families. Linkage of FJHN to 16p11.2 was confirmed in six families, which suggests that, in a large proportion of FJHN kindreds, the disease is likely to be caused by a gene or genes located outside of 16p11.2. Haplotype analysis of the new and previously analysed families provided two non-overlapping critical regions on 16p11.2-FJHN1, delimited by markers D16S499-D16S3036 and FJHN2, delimited by markers D16S412-D16S3116. Considering MCKD2 to be a distinct molecular entity, the analysis suggests that as many as three kidney disease genes may be located in close proximity on 16p11.2. From genomic databases we compiled integrated physical and transcription maps of whole critical genomic region in which 45 known genes and 129 predicted loci have been localised. We selected, analysed and found no pathogenic mutations in seven candidate genes. The linkage and haplotype analysis reported here demonstrates the genetic heterogeneity of FJHN. The report of integrated physical and mostly in-silico predicted transcription maps of the FJHN critical region provides a basis for precise experimental annotation of the current transcript map, which is essential for final identification of the FJHN gene(s).

Chromosome Mapping↗

Statistical methods for analyzing microarray feature data with replications.

Expression levels in oligonucleotide microarray experiments depend on a potentially large number of factors, for example, treatment conditions, different probes, different arrays, and so on. To dissect the effects of these factors on expression levels, fixed-effects ANOVA methods have previously been proposed. Because we are not necessarily interested in estimating the specific effects of different probes and arrays, we propose to treat these as random effects. Then we only need to estimate their means and variances but not the effect of each of their levels; that is, we can work with a much reduced number of parameters and, consequently, higher precision for estimating expression levels. Thus, we developed a mixed-effects ANOVA model with some random and some fixed effects. It automatically accounts for local normalization between different arrays and for background correction. The method was applied to each of the 6,584 genes investigated in a microarray experiment on two mouse cell lines, PA6/S and PA6/8, where PA6/S enhances proliferation of Pre B cells in vitro but PA6/8 does not. To detect a set of differentially expressed genes (multiple testing problem), we applied the method of controlling the false discovery rate (FDR), which successfully identified 207 genes with significantly different expression levels.

Algorithms↗

Set association analysis of SNP case-control and microarray data.

Common heritable diseases ("complex traits") are assumed to be due to multiple underlying susceptibility genes. While genetic mapping methods for Mendelian disorders have been very successful, the search for genes underlying complex traits has been difficult and often disappointing. One of the reasons may be that most current gene-mapping approaches are still based on conventional methodology of testing one or a few SNPs at a time. Here, we demonstrate a simple strategy that allows for the joint analysis of multiple disease-associated SNPs in different genomic regions. Our set-association method combines information over SNPs by forming sums of relevant single-marker statistics. As previously hypothesized, we show here that this approach successfully addresses the "curse of dimensionality" problem--too many variables should be estimated with a comparatively small number of observations. We also report results of simulation studies showing that our method furnishes unbiased and accurate significance levels. Power calculations demonstrate good power even in the presence of large numbers of nondisease associated SNPs. We extended our method to microarray expression data, where expression levels for large numbers of genes should be compared between two tissue types. In applications to such data, our approach turned out to be highly efficient.

Case-Control Studies↗

Angiotensinogen gene polymorphism at -217 affects basal promoter activity and is associated with hypertension in African-Americans.

Hypertension is a serious health problem in Western society, in particular for the African-American population. Although previous studies have suggested that the angiotensinogen (AGT) gene locus is involved in human essential hypertension, the molecular mechanisms involved in hypertension in African-Americans remain unknown. We show that an A/G polymorphism at -217 in the promoter of the AGT gene plays a significant role in hypertension in African-Americans. The frequency of the -217A allele was increased significantly in African-American hypertensive subjects compared with normotensive controls. We also show that the nucleotide sequence of this region of the AGT gene promoter bound strongly to CAAT/enhancer-binding protein (C/EBP) family transcription factors when nucleoside A was present at -217. In addition, we show that reporter constructs containing the human AGT gene promoter with nucleoside A at -217 had increased basal transcriptional activity upon transient transfection in HepG2 cells compared with reporter constructs with nucleoside G at -217. Finally, we show that interleukin-6 treatment in the presence or absence of overexpressed C/EBPbeta increased the promoter activities of reporter constructs containing nucleoside A at -217 compared with reporter constructs containing nucleoside G at -217. Because the AGT gene is expressed primarily in liver and adipose tissue, and C/EBP family transcription factors play an important role in gene expression in these tissues, we propose that increased transcriptional activity of the -217A allele of the human AGT gene is associated with hypertension in African-Americans.

Adult↗

Candidate genes involved in cardiovascular risk factors by a family-based association study on the island of Kosrae, Federated States of Micronesia.

Altered plasma levels of lipids and lipoproteins, obesity, hypertension, and diabetes are major risk factors for atherosclerotic cardiovascular disease. To identify genes that affect these traits and disorders, we looked for association between markers in candidate genes (apolipoprotein AII (apo AII), apolipoprotein AI-CIII-AIV gene cluster (apo AI-CIII-AIV), apolipoprotein E (apo E), cholesteryl ester transfer protein (CETP), cholesterol 7alpha-hydroxylase (CYP7a), hepatic lipase (HL), and microsomal triglyceride transfer protein (MTP)) and known risk factors (triglycerides (Tg), total cholesterol (TC), apolipoprotein AI (apo AI), apolipoprotein AII (apo AII), apolipoprotein B (apo B), body mass index (BMI), blood pressure (BP), leptin, and fasting blood sugar (FBS) levels.) A total of 1,102 individuals from the Pacific island of Kosrae were genotyped for the following markers: Apo AII/MspI, Apo CIII/SstI, Apo AI/XmnI, Apo E/HhaI, CETP/TaqIB, CYP7a/BsaI, HL/DraI, and MTP/HhpI. After testing for population stratification, family-based association analysis was carried out. Novel associations found were: 1) the apo AII/MspI with apo AI and BP levels, 2) the CYP7a/BsaI with apo AI and BMI levels. We also confirmed the following associations: 1) the apo AII/MspI with Tg level; 2) the apo CIII/SstI with Tg, TC, and apo B levels; 3) the Apo E/HhaI E2, E3, and E4 alleles with TC, apo AI, and apo B levels; and 4) the CETP/TaqIB with apo AI level. We further confirmed the connection between the apo AII gene and Tg level by a nonparametric linkage analysis. We therefore conclude that many of these candidate genes may play a significant role in susceptibility to heart disease.

Adult↗

Multiple cutaneous and uterine leiomyomas: refinement of the genetic locus for multiple cutaneous and uterine leiomyomas on chromosome 1q42.3-43.

Cutaneous leiomyomas, rare benign tumors originating from the arrector pili muscle of the hair follicle, can be associated with the common uterine fibroids in a syndrome called multiple cutaneous and uterine leiomyomas. Multiple cutaneous and uterine leiomyomas are inherited as an autosomal dominant trait, providing an excellent opportunity for the study of the common non-Mendelian manifestation of isolated uterine fibroids. This study reports the clinical and molecular characterization of an extended family with multiple cutaneous and uterine leiomyomas. Linkage analysis has shown that the disease in this family is linked to the recently reported genetic locus for multiple cutaneous and uterine leiomyomas, with a maximum two-point LOD score of 4.453 for markers D1S2670, D1S2785, D1S547, and D1S1609. The identification of key recombination events has allowed us to refine substantially the location of the genetic locus for multiple cutaneous and uterine leiomyomas, from 14 cM to an interval of 4.55 or 7.19 cM, depending on the final phenotype of a young family member in which one of the key recombination events has occurred. In addition, we provide a description of the interesting pattern and progression of the skin phenotype in this four-generation kindred. The refinement of the genetic locus for multiple cutaneous and uterine leiomyomas and the availability of an extended multigeneration pedigree will facilitate the identification of the mutated gene responsible for multiple cutaneous and uterine leiomyomas, which, in turn, may provide key information for the understanding of the molecular basis of the common uterine fibroids.

Adolescent↗

Distribution and characterization of regulatory elements in the human genome.

The regulation of transcription and subsequent gene splicing are crucial to correct gene expression. Although a number of regulatory sequences involved in both processes are known, it is not clear how general their functions are in the genomic context, nor how the regulatory regions are distributed throughout the genome. Here we study the distribution of known mutagenic elements within human introns and exons to deduce the properties of regions essential for splicing and transcription. We show that intronic splicing regulators are generally found close to the splice sites, but may be found as far as 200 nucleotides away from the splice junctions. Similarly, sequences important for splicing may be located as far as 125 nucleotides away from the junctions, within exons. We characterize several types of simple repetitive sequences and low-complexity regions that are overrepresented close to both intron ends and are likely to play important roles in the splicing process. We show that the first introns within most genes play a particularly important regulatory role that is most likely, however, to be involved in transcription control. We also study the distribution of two known regulatory motifs, the GGG trinucleotide and the CpG dinucleotide, and deduce their respective importance to splicing and transcription regulation.

Base Composition↗

Asthma, allergy, and airway hyperresponsiveness are not linked to the beta(2)-adrenoceptor gene.

STUDY OBJECTIVES: To exclude genetic linkage between the beta(2)-adrenoceptor gene and asthma, allergy, and methacholine airway hyperresponsiveness. DESIGN: The current study used six distinct intragene markers within the beta(2)-adrenoceptor gene, and evaluated genetic linkage between the beta(2)-adrenoceptor and asthma, allergy, or methacholine airway hyperresponsiveness in eight multiplex families. PATIENTS: Forty-nine members of eight multiplex families with a high incidence of asthma. INTERVENTIONS: Phenotypes were characterized by history, physical examination, skin testing, pulmonary function tests, and methacholine inhalational challenge. Genetic loci were identified using restriction fragment length polymorphisms, denaturing gradient gel electrophoresis, and restriction enzyme digest of polymerase chain reaction-amplified fragments of the beta(2)-adrenoceptor gene. MEASUREMENTS AND RESULTS: Nonparametric analysis using computer analysis software found no evidence for linkage between these markers within the beta(2)-adrenoceptor gene and asthma. Parametric exclusion analysis using a dominant inheritance model resulted in large negative lod scores (- 6.74, - 19.44, and - 49.9, respectively) for tight linkage between asthma, allergy, or methacholine airway hyperresponsiveness and these polymorphic markers. CONCLUSIONS: These results indicate that asthma, allergy, and methacholine airway hyperresponsiveness are not linked to a dominant beta(2)-adrenoceptor gene with strong effect in these eight families with an inherited pattern of asthma.

Adolescent↗