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Biomedical subjects

Alexander F Wilson

Publications and source records attributed to Alexander F Wilson.

At least 19 recordsLinked to original sources

Segregation analysis of restless legs syndrome: possible evidence for a major gene in a family study using blinded diagnoses.

OBJECTIVE: The objective of this study was to ascertain the most likely inheritance pattern of restless legs syndrome (RLS) using segregation analysis. METHODS: Probands were RLS patients presenting to the Neurology and Sleep clinics of the Johns-Hopkins Bayview medical center with willing first and second degree relatives. Blinded diagnosis was made in those who exhibited the four diagnostic features of RLS. Analysis was performed on RLS as a dichotomous trait and considering age of onset models on 590 phenotyped subjects from 77 pedigrees. RESULTS: All non-genetic models were rejected considering RLS as a dichotomous trait. A single locus Mendelian dominant model with gender as a covariate had best fit with allele frequency of 0.077 and complete penetrance. RLS frequency in non-carrier subjects was estimated to be 0.14. Two underlying distributions of age of onset, with a possible dichotomy at 26.3 years, were identified. Contrary to the results for RLS as a dichotomous trait, age of onset models did not indicate single major gene inheritance. CONCLUSION: This segregation analysis suggests that the pattern of segregation is consistent with that of a single major locus, when RLS is treated as a dichotomous trait without considering age of onset. The high rate of phenocopies matches known population frequencies and taken with significant residual familial effects and the lack of evidence for a major gene controlling age of onset, indicates that non-genetic causes of RLS may exist and RLS is a complex disorder.

Aged↗

Idiopathic scoliosis: identification of candidate regions on chromosome 19p13.

STUDY DESIGN: We performed genomic screening, statistical linkage analysis, and fine mapping of 202 families with at least 2 individuals with idiopathic scoliosis. OBJECTIVE: To identify regions on chromosome 19p13 statistically linked to the phenotypic expression of idiopathic scoliosis. SUMMARY OF BACKGROUND DATA: Idiopathic scoliosis is a common structural curvature of the spine affecting otherwise healthy children. Presently, no clear consensus exists regarding the underlying abnormality or genetic determinants of this disease. METHODS: Model-independent linkage analysis of qualitative and quantitative traits related to scoliosis was used to screen genotyping data from 391 markers in 202 families (1198 individuals). Subsets of families with probands having a curve > or = 30 degrees were dichotomized based on the most likely mode of inheritance for each family (autosomal dominant or X-linked dominant). Fine mapping was performed to show linkage to candidate regions on chromosome 19. RESULTS: When the threshold of disease was set at a curvature of > or = 30 degrees, qualitative linkage analysis revealed significant results at 2 successive markers on chromosome 19. CONCLUSION: The data confirm a previously reported genetic locus on chromosome 19 as potentially significant in the etiology of idiopathic scoliosis.

Chromosome Mapping↗

A graphical assessment of p-values from sliding window haplotype tests of association to identify asthma susceptibility loci on chromosome 11q.

BACKGROUND: Past work on asthmatic African American families revealed a strong linkage peak with modest evidence of association on chromosome 11q. Here, we perform tests of association for asthma and a panel of 609 SNPs in African American subjects using a sliding window approach. While efficient in screening a region of dense genotyping, this approach does create some problems: high numbers of tests, assimilating thousands of results, and questions about setting priorities on regions with association signals. RESULTS: We present a newly developed tool, Graphical Assessment of Sliding P-values or GrASP, which uses color display to indicate the width of the sliding windows, significance of individual tests, density of SNP coverage and location of known genes that simplifies some of these issues, and use it to identify regions of interest in these data. CONCLUSION: We demonstrate that GrASP makes it easier to visualize, summarize and prioritize regions of interest from sliding window haplotype analysis, based jointly on the p-value from all the tests from these windows and the building of haplotypes of significance in the region. Using this approach, five regions yielded strong evidence for linkage and association with asthma, including the prior peak linkage region.

Black or African American↗

Lack of association between the aggrecan gene and familial idiopathic scoliosis.

STUDY DESIGN: A study was conducted to determine the potential association between a specific aggrecan gene polymorphism and familial idiopathic scoliosis (FIS). OBJECTIVES: To determine the allelic distribution of the exon 12 polymorphism within a sample of families with FIS. SUMMARY OF BACKGROUND DATA: FIS is a structural curvature of the spine where the underlying genetic etiology has not been established. The aggrecan locus has been linked to multiple skeletal disorders. A polymorphism, within the aggrecan gene, was previously reported to be associated with curve severity in individuals with scoliosis. METHODS: Fifty-eight families with FIS were genotyped for the aggrecan exon 12 polymorphism using a polymerase chain reaction method. Model-independent sib-pair linkage analyses and tests of association were performed to analyze the genetic effects of the exon 12 polymorphism. RESULTS: Linkage analyses of a genomic screen performed on a subgroup of 48 families with a most likely to be X-linked dominant mode of inheritance of FIS showed marginally significant results on chromosome 15q25-26 (P < 0.05). The overall distribution of the alleles was consistent with previously reported literature; no evidence of association and marginal significance of linkage was found between the polymorphism and FIS or the degree of lateral curvature. CONCLUSIONS: Despite the negative association reported here, further investigation of the gene and its potential association to FIS is required.

Adult↗

Linkage analysis of genetic loci for kyphoscoliosis on chromosomes 5p13, 13q13.3, and 13q32.

Kyphoscoliosis, a three-dimensional deformity of spinal growth, is characterized by a curvature in the coronal plane (scoliosis) in conjunction with thoracic kyphosis in excess of the normal range in the sagittal plane. We identified kyphoscoliosis within members of seven families (53 individuals) originally ascertained as part of a large collaborative study of familial idiopathic scoliosis. Model-independent linkage analysis of a genome-wide microsatellite screen identified areas suggestive of linkage on chromosomes 2q22, 5p13, 13q, and 17q11. Single-point and multipoint analyses of an additional 25 flanking microsatellite markers corroborated linkage to these regions, with areas on chromosomes 5p13, 13q13, and 13q32 being the most significant (P < 0.005). Analyses of single nucleotide polymorphism (SNP) markers in the candidate region on chromosome 5 narrowed the region to approximately 3.5 Mb (P < 0.05), with the most significant P values (P < 0.01) occurring in approximately a 1.3-Mb region. Candidate loci in this region include IRX1, IRX2, and IRX4 of the Iroquois Homeobox protein family. On chromosome 13, single-point and multipoint analyses resulted in multiple SNPs having P values < 0.05 within five candidate genes: Osteoblast-specific factor 2 or periostin, forkhead box O1A, A-kinase anchor protein 11, TBC1 domain family member 4, and glypican 5, thus supporting the potential relevance of this region in the pathogenesis of kyphoscoliosis.

Chromosome Mapping↗

Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment.

BACKGROUND: Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate. An increase in Type I error rate is seen when marker related parameters (e.g., allele frequencies) are misspecified and ascertainment is through the trait, but lod-score methods are expected to be robust when ascertainment is random (as is often the case in linkage studies of quantitative traits). In previous studies, the power of lod-score linkage analysis using the "correct" generating model for the trait was found to increase when the marker allele frequencies were misspecified and parental data were missing. An investigation of Type I error rates, conducted in the absence of parental genotype data and with misspecification of marker allele frequencies, showed that an inflation in Type I error rate was the cause of at least part of this apparent increased power. To investigate whether the observed inflation in Type I error rate in model-based LOD score linkage was due to sampling variation, the trait model was estimated from each sample using REGCHUNT, an automated segregation analysis program used to fit models by maximum likelihood using many different sets of initial parameter estimates. RESULTS: The Type I error rates observed using the trait models generated by REGCHUNT were usually closer to the nominal levels than those obtained when assuming the generating trait model. CONCLUSION: This suggests that the observed inflation of Type I error upon misspecification of marker allele frequencies is at least partially due to sampling variation. Thus, with missing parental genotype data, lod-score linkage is not as robust to misspecification of marker allele frequencies as has been commonly thought.

Alleles↗

Variation in the gene encoding the serotonin 2A receptor is associated with outcome of antidepressant treatment.

Depressive disorders account for a large and increasing global burden of disease. Although the condition of many patients improves with medication, only a minority experience full remission, and patients whose condition responds to one medication may not have a response to others. Individual variation in antidepressant treatment outcome is, at present, unpredictable but may have a partial genetic basis. We searched for genetic predictors of treatment outcome in 1,953 patients with major depressive disorder who were treated with the antidepressant citalopram in the Sequenced Treatment Alternatives for Depression (STAR*D) study and were prospectively assessed. In a split-sample design, a selection of 68 candidate genes was genotyped, with 768 single-nucleotide-polymorphism markers chosen to detect common genetic variation. We detected significant and reproducible association between treatment outcome and a marker in HTR2A (P range 1 x 10(-6) to 3.7 x 10(-5) in the total sample). Other markers in HTR2A also showed evidence of association with treatment outcome in the total sample. HTR2A encodes the serotonin 2A receptor, which is downregulated by citalopram. Participants who were homozygous for the A allele had an 18% reduction in absolute risk of having no response to treatment, compared with those homozygous for the other allele. The A allele was over six times more frequent in white than in black participants, and treatment was less effective among black participants. The A allele may contribute to racial differences in outcomes of antidepressant treatment. Taken together with prior neurobiological findings, these new genetic data make a compelling case for a key role of HTR2A in the mechanism of antidepressant action.

Adult↗

Critical values and variation in type I error along chromosomes in the COGA dataset using the applied pseudo-trait method.

BACKGROUND: By analyzing a "pseudo-trait," a trait not linked or associated with any of the markers tested, the distribution of the test statistic under the null hypothesis can provide the critical value for the appropriate percentile of the distribution. In addition, the anecdotal observation that p-values tend to be more significant near the telomeres was investigated. RESULTS: The applied pseudo-trait (APT) method was applied to the Affymetrix and Illumina SNPs in the Collaborative Study on the Genetics of Alcoholism dataset to determine appropriate critical values for regression of offspring on mid-parent (ROMP) and Haseman-Elston association and linkage analyses, investigating the occurrence of type I errors in different chromosomal locations, and the extent to which the critical values obtained depend on the type of pseudo-trait used. CONCLUSION: On average, the 5 percentile critical values obtained for this study were less than the expected 0.05. The distribution of p-values does not seem to depend on chromosomal position for ROMP association analysis methods, but does in some cases for Haseman-Elston linkage analysis. Results vary with different pseudo-traits.

Alcoholism↗

Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data.

The beta 2 electroencephalogram (EEG) phenotype is used as a quantitative measure related to alcoholism, and evidence of linkage and association has previously been reported in the Collaborative Study on the Genetics of Alcoholism data. In this study, associations between the beta 2 EEG phenotype and single nucleotide polymorphisms from whole-genome Illumina and Affymetrix panels were investigated with the regression of offspring on mid-parent method to identify significant genetic effects and to estimate their heritability. Separate regressions on father and mother were performed to identify parent-specific effects. Estimates of the heritability of the beta 2 EEG phenotype were 0.68 +/- 0.12 and 0.52 +/- 0.07 based on father-offspring and mother-offspring pairs, respectively. Significant associations at the 0.0005 level, some of which were parent-specific, were found on chromosomes 1, 2, 5, 6, 7, 8, 11, 12, 15, 16, 17, 18, and 19 with heritability attributable to each SNP ranging from 0.01 to 8%.

Adolescent↗

Identification of candidate regions for familial idiopathic scoliosis.

STUDY DESIGN: A genomic screen and statistical linkage analysis of 202 families with at least two individuals with idiopathic scoliosis was performed. OBJECTIVES: To identify candidate regions or the autosomal loci that may be involved in the expression of familial idiopathic scoliosis. SUMMARY OF BACKGROUND DATA: A large sample of families with individuals having idiopathic scoliosis (202 families; 1,198 individuals) was ascertained; diagnoses were based on physical examination and radiographic criteria. METHODS: Model-independent linkage analysis of qualitative and quantitative traits (degree of lateral curvature) related to scoliosis was used to screen genotyping data from 391 markers in the 202 families. Subsets of families were determined before genotyping based on the most likely mode of inheritance for each family (autosomal dominant vs. X-linked dominant). Fine mapping results corroborated linkage in the primary candidate regions. RESULTS: Candidate regions on chromosomes 6, 9, 16, and 17 were considered to have the strongest evidence for linkage across all subsets considered. CONCLUSION: Linkage analyses have identified several candidate regions, a significant step in defining the genetic etiology of this disorder.

Family↗

Quantitative genetic analysis of blood pressure response during the cold pressor test.

BACKGROUND: The genetic association between blood pressure (BP) at rest and during the cold pressor test (CPT) is not well characterized. The purpose of this study was to examine the genetic architecture of BP during the CPT, and to determine whether BP at rest and during the CPT share common genetic influences. METHODS: In 419 individuals distributed across four large families, variance components methods were used to estimate heritabilities of resting BP and CPT BP, along with genetic correlations among BP traits. The CPT consisted of immersion of the left foot in 4 degrees C water while the participant was supine. Blood pressure reactivity (DeltaBP) was defined as BP at 15 to 30 sec and 45 to 60 sec of foot immersion minus resting BP. RESULTS: Significant (P < .05) heritabilities were found for supine BP (h(2)(SBP) = 0.35), CPT BP (h(2)(SBP) = 0.27 and 0.33, h(2)(DBP) = 0.18 and 0.30), and DeltaSBP (h(2)(SBP) = 0.12 and 0.37) but not for DeltaDBP. Bivariate analyses detected significant (P < .05) genetic correlations between resting SBP and CPT SBP that were different from 0 and 1. Genetic correlations between resting DBP and CPT DBP were not significantly different from 1. Genetic correlations between resting SBP and DeltaSBP were not significant. CONCLUSIONS: Measures of BP at rest and during cold immersion are significantly influenced by additive genetic effects. These genetic influences are only partially shared between SBP at rest and SBP during cold immersion, suggesting that a somewhat different set of genes may influence SBP during cold immersion. Unique sets of genes also appear to influence DeltaSBP independent of those influencing resting SBP.

Adolescent↗

Genetics of ultrasonographic carotid atherosclerosis.

The search for genes related to the cause of common complex disorders such as cardiovascular disease has been frustrating, partly because of the many factors known to contribute to cardiovascular disease and the potential "distance" of cardiovascular disease as a phenotype from genes and gene products. Linkage and association studies for phenotypes more proximal in the pathway from DNA sequence variation to overt clinical disease, such as ultrasound-defined carotid atherosclerosis, may potentially be more enlightening. Only one genetic variant previously reported to be associated with atherosclerosis or clinically evident cardiovascular disease, matrix metalloproteinase (MMP) 3, has shown consistently positive associations with carotid disease, although it has not been studied widely. Another, PON1 L55M, is weakly associated in subgroups only, and 2, ApoE and MTHFR, are equivocal. Genetic variants reported to be associated with clinical cardiovascular disease show weak or no relationship to carotid atherosclerosis. This may reflect the known inconsistency in associations of genetic variants with clinical cardiovascular disease itself. Alternatively, genetic determinants of ultrasound-defined carotid atherosclerosis may differ from those of clinically manifest cardiovascular disease and may require pursuit through large-scale genomic studies of carotid atherosclerosis as a distinct phenotype. Only 1 genetic variant, MMP 3, has shown consistently positive associations with ultrasonographic carotid disease, although it has not been studied widely. Another, PON1 L55 mol/L, is weakly associated in subgroups only. Genetic variants reported to be associated with clinical cardiovascular disease show weak or no relationship to carotid atherosclerosis.

Adolescent↗

Comparison of year-of-exam- and age-matched estimates of heritability in the Framingham Heart Study data.

Several different approaches can be used to examine generational and temporal trends in family studies. The measurement of offspring and parents can be made over a short period of time with parents and offspring having quite different ages, or measurements can be made at the same ages but with decades between parent and offspring measures. A third approach, used in the Framingham Heart Study, has repeated examinations across a broad range of age and time, and provides a unique opportunity to compare these approaches. Parents and offspring were matched both on (year of exam) and on age. Heritability estimates for systolic blood pressure, body mass index, height, weight, cholesterol, and glucose were obtained by regressing offspring on midparent values with and without adjustment for age. Higher estimates of heritability were obtained for age-matched than for year-of-exam-matched data for all traits considered. For most traits, estimates of the heritability of the change over time (slope) of the trait were near zero. These results suggest that the optimal design to identify genetic effects in traits with large age-related effects may be to measure parents and offspring at similar ages and not to rely on age-adjustment or longitudinal measures to account for these temporal effects.

Adult Children↗

Sex differences in heritability of sensitization to Blomia tropicalis in asthma using regression of offspring on midparent (ROMP) methods.

A genetic basis for asthma- and atopy-related quantitative traits, such as allergen-specific immunoglobulin E (IgE) levels, has been suggested by the observed familial aggregation of these traits in temperate climates. Less information is available for tropical climates, where different allergens may predominate. Sensitivity to the mite Blomia tropicalis is related to asthma in tropical climates, but heritability of B. tropicalis sensitivity and the impact of age, sex, and other environmental covariates on heritability have not been widely explored. Total and specific IgE levels were measured by immunochemiluminescent assay in 481 members of 29 Barbadian families (comprised of 340 parent-offspring trios or pairs) ascertained through two asthmatic siblings. Trait heritability was estimated using regression of offspring on mid-parent (ROMP) and pairwise correlation analysis of unadjusted IgE levels and on residual values after adjustment for covariates. Heritability of IgE levels to the major antigen of B. tropicalis (Blo t M) estimated by ROMP in 180 complete parent-offspring trios was 0.56. Heritability was consistently greater for male offspring than for female offspring. Similar sex-specific patterns were observed for specific IgE to Dermatophagoides pteronyssinus and total IgE levels and were relatively unaffected by adjustment for covariates. Pairwise correlational analyses of specific and total IgE levels showed similar results. Moderate heritability of Blo t M IgE levels was detected in these Barbadian families and was greater for sons than daughters. Adjustment for covariates had minimal impact. This suggests that future investigations of genetic determinants of IgE levels should include approaches that allow for potential sex differences in their expression.

Acari↗

A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Recent advances in technologies for high-throughout single-nucleotide polymorphism (SNP)-based genotyping have improved efficiency and cost so that it is now becoming reasonable to consider the use of SNPs for genomewide linkage analysis. However, a suitable screening set of SNPs and a corresponding linkage map have yet to be described. The SNP maps described here fill this void and provide a resource for fast genome scanning for disease genes. We have evaluated 6,297 SNPs in a diversity panel composed of European Americans, African Americans, and Asians. The markers were assessed for assay robustness, suitable allele frequencies, and informativeness of multi-SNP clusters. Individuals from 56 Centre d'Etude du Polymorphisme Humain pedigrees, with >770 potentially informative meioses altogether, were genotyped with a subset of 2,988 SNPs, for map construction. Extensive genotyping-error analysis was performed, and the resulting SNP linkage map has an average map resolution of 3.9 cM, with map positions containing either a single SNP or several tightly linked SNPs. The order of markers on this map compares favorably with several other linkage and physical maps. We compared map distances between the SNP linkage map and the interpolated SNP linkage map constructed by the deCode Genetics group. We also evaluated cM/Mb distance ratios in females and males, along each chromosome, showing broadly defined regions of increased and decreased rates of recombination. Evaluations indicate that this SNP screening set is more informative than the Marshfield Clinic's commonly used microsatellite-based screening set.

Alleles↗

A novel dysmorphic syndrome with open calvarial sutures and sutural cataracts maps to chromosome 14q13-q21.

We describe a new dysmorphic syndrome in an inbred Saudi Arabian family with 21 members. Five males and one female have similar craniofacial features including wide open calvarial sutures with large and late-closing anterior fontanels, frontal bossing, hyperpigmentation with capillary hemangioma of the forehead, significant hypertelorism, and a broad and prominent nose. In addition, these individuals have Y-shaped sutural cataracts diagnosed by 1-2 years of age. No chromosomal or biochemical abnormalities were identified. A genome-wide scan was performed, and two-point LOD score analysis, assuming autosomal recessive inheritance, detected linkage to chromosome 14q13-q21. The highest LOD scores were obtained for marker GATA136A04 (LOD=4.58 at theta=0.00) and for the adjacent telomeric marker D14S1048 (LOD=4.32 at theta=0.00). Multipoint linkage analysis resulted in a maximum LOD score of 5.44 between markers D14S1048 and GATA136A04. Model independent analysis by SIBPAL confirmed linkage to the same chromosomal region. Haplotype analysis indicated that all affected individuals were homozygous for the interval on chromosome 14q13-q21 with two recombinants for D14S1014 (centromeric) and one recombinant for D14S301 (telomeric). These recombinations limit the disease locus to a region of approximately 7.26 Mb. Candidate genes localized to this region were identified, and analysis of PAX9 did not identify mutations in these patients. The unique clinical phenotype and the mapping data suggest that this family represents a novel autosomal recessive syndrome.

Abnormalities, Multiple↗

Familial idiopathic scoliosis: evidence of an X-linked susceptibility locus.

STUDY DESIGN: A genomic screen and statistical linkage analysis of a large sample of families with individuals having idiopathic scoliosis was performed. OBJECTIVES: To identify an X-linked susceptibility locus involved in the expression of familial idiopathic scoliosis. SUMMARY OF BACKGROUND DATA: A large sample of families with individuals having idiopathic scoliosis (202 families; 1198 individuals) were diagnosed through physical examination and radiographic criteria, and genomic screening and genetic linkage analyses were performed. METHODS: Model-independent linkage analysis was used to screen genotyping data from 15 X-linked markers in 202 families (1198 individuals). Families were stratified based on the ratio of the likelihood of an X-linked dominant (XLD) inheritance model relative to that of an autosomal dominant (AD) model. Both model-independent and model-dependent linkage analyses were used to identify potential candidate regions. RESULTS: When the entire set of families were analyzed with model-independent methods, no result was significant at the 0.05 level for any of the markers. However, when the families were stratified based on the ratio of the likelihood of the X-linked dominant to autosomal dominant mode of inheritance, results from model-dependent linkage analysis of 15% of the families most likely to have X-linked dominant inheritance showed six adjacent markers with positive lod score values and a maximum lod score of 1.69 (theta = 0.2) at marker GATA172D05. A lod score of 2.23 at this same marker was found in a single family with six affected individuals. CONCLUSION: The results suggest that a region on the X chromosome may be linked to the expression of familial idiopathic scoliosis in a subset of these families.

Alleles↗