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Howard Wiener

Publications and source records attributed to Howard Wiener.

10 recordsLinked to original sources

Follow-up mapping supports the evidence for linkage in the candidate region at 9q22 in the NIMH Alzheimer's disease Genetics Initiative cohort.

Other than the APOE peak at 19q13, the 9q22 region was identified in our original genomic scan as the candidate region with the highest multipoint lod score (MLS) in the subset of late onset Alzheimer's Disease (AD) families (MLS = 2.9 at 101 cM) from the NIMH Genetics Initiative sample. We have now genotyped an additional 12 short tandem repeats (STR) in this region. Multipoint analysis shows the region remains significant with an increase in the peak MLS from 2.9 to 3.8 at 95 cM near marker D9S1815, and the 1 LOD interval narrows from 21.5 to 11 cM. HLOD scores also provide evidence for significant linkage (4.5 with an alpha = 31%) with a further narrowing of the region to 6.6 cM (92.2-98.8 cM). Single nucleotide polymorphisms (SNPs) in the Ubiquilin1 gene (UBQLN1), located at 83.3 cM, have been reported to be significantly associated to AD, accounting for a substantial portion of the original linkage signal [Bertram et al., 2005]. Our analyses of the higher resolution genotype data generated here provide further support for the existence of a least one additional locus on chromosome 9q22. In an effort to pinpoint this putative AD susceptibility gene, we have begun to analyze SNPs in other candidate genes in and around this narrowed region to test for additional associations to AD.

Age of Onset↗

Project among African-Americans to explore risks for schizophrenia (PAARTNERS): recruitment and assessment methods.

The Project among African-Americans to Explore Risks for Schizophrenia (PAARTNERS) is a multi-site, NIMH-funded study that seeks to identify genetic polymorphisms that confer susceptibility to schizophrenia among African-Americans by linkage mapping and targeted association analyses. Because deficits in certain dimensions of cognitive ability are thought to underlie liability to schizophrenia, the project also examines cognitive abilities in individuals affected by schizophrenia and their extended family members. This article describes PAARTNERS study design, ascertainment methods and preliminary sample characteristics. We aim to recruit a sample of 1260 African-American families, all of whom have at least one proband with schizophrenia or schizoaffective disorder. The data collection protocol includes a structured Diagnostic Interview for Genetic Studies, Family Interview for Genetic Studies, focused neurocognitive assessment, medical records review, and the collection of blood or buccal cells for genetic analyses. We have currently completed study procedures for 106 affected sib-pair, 457 case-parent trio and 23 multiplex families. A total of 289 probands have completed the best estimate final diagnosis process and 1153 probands and family members have been administered the computerized neuropsychological battery. This project lays the foundation for future analysis of cognitive and behavioral endophenotypes. This novel integration of diagnostic, neurocognitive and genetic data will also generate valuable information for future phenotypic and genetic studies of schizophrenia.

Adult↗

Further evidence of a maternal parent-of-origin effect on chromosome 10 in late-onset Alzheimer's disease.

The chromosome 10q region has recently received a great deal of attention in late-onset Alzheimer's disease (LOAD), given the growing evidence of linkage to LOAD, or to A-beta levels, reported by several groups. In a recent paper we reported evidence of linkage in this region in our subset of the NIMH AD genetics initiative pedigrees, approaching genome-wide significance (non-parametric LOD score = 3.27), when only families with maternal disease origin were analyzed [Bassett et al. (2002); Am J Med Genet 114:679-686]. We have now extended this work, using an independent subset of NIMH AD pedigrees from the University of Alabama at Birmingham (UAB), and show further evidence of linkage using parent-of-origin information. As in our Hopkins sample, maternal but not paternal pedigrees show significantly increased linkage in the chromosome 10q region compared to the unstratified sample. Combining data from our previous fine-mapping work on this region and five new markers genotyped in all pedigrees results in a non-parametric LOD score of 3.73 in the same region, a value that reaches genome wide significance for linkage, with an empirical P value = 0.003. These results support our earlier findings and narrow the region of interest. In combination with findings from other groups, these results provide further evidence that this chromosome 10 region harbors a gene implicated in LOAD, and our use of parent-of-origin information has been useful in further narrowing the region of interest.

Alzheimer Disease↗

An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.

Individual genome scans for quantitative trait loci (QTL) mapping often suffer from low statistical power and imprecise estimates of QTL location and effect. This lack of precision yields large confidence intervals for QTL location, which are problematic for subsequent fine mapping and positional cloning. In prioritizing areas for follow-up after an initial genome scan and in evaluating the credibility of apparent linkage signals, investigators typically examine the results of other genome scans of the same phenotype and informally update their beliefs about which linkage signals in their scan most merit confidence and follow-up via a subjective-intuitive integration approach. A method that acknowledges the wisdom of this general paradigm but formally borrows information from other scans to increase confidence in objectivity would be a benefit. We developed an empirical Bayes analytic method to integrate information from multiple genome scans. The linkage statistic obtained from a single genome scan study is updated by incorporating statistics from other genome scans as prior information. This technique does not require that all studies have an identical marker map or a common estimated QTL effect. The updated linkage statistic can then be used for the estimation of QTL location and effect. We evaluate the performance of our method by using extensive simulations based on actual marker spacing and allele frequencies from available data. Results indicate that the empirical Bayes method can account for between-study heterogeneity, estimate the QTL location and effect more precisely, and provide narrower confidence intervals than results from any single individual study. We also compared the empirical Bayes method with a method originally developed for meta-analysis (a closely related but distinct purpose). In the face of marked heterogeneity among studies, the empirical Bayes method outperforms the comparator.

Chromosome Mapping↗

Increased frequency of HLA-B44 in recurrent sinopulmonary infections (RESPI).

To test whether MHC alleles associated with common variable immune deficiency (CVID) might also be over-represented in patients with normal serum immunoglobulin levels who suffer with recurrent sinopulmonary infections (RESPI), we identified 62 consecutive RESPI patients and compared their HLA-B and HLA-DR antigen frequencies to those of 60 consecutive patients with CVID, 1627 Alabama Caucasian bone marrow donors, and 997,230 published US Caucasians. Either HLA-B44, -B8, -DR3(17), or -DR7 was present in 74% of the RESPI and 85% of the CVID patients. HLA-B44 prevalence in particular proved identical between RESPI and CVID. When compared to US Caucasians, the increased prevalence of the four HLA alleles proved significant at P < 0.0001, P < 0.0001, P = 0.0005, and P = 0.02, respectively. When compared to Alabama Caucasians, only the increased prevalence of HLA-B44 achieved statistical significance (P = 0.0001). Inheritance of HLA-B44 may yield susceptibility to recurrent sinopulmonary infection even in the presence of normal serum immunoglobulin levels.

Adolescent↗

Neuregulin-1 polymorphism in late onset Alzheimer's disease families with psychoses.

Probands with late onset Alzheimer's disease (LOAD) exhibit positive symptoms of psychosis, 30-60% of the time. Positive symptoms of psychosis have been shown to appear prior to the onset of dementia to be accompanied by greater cognitive deficits, and to predict a more rapid decline. A study of the distribution of AD with psychosis (ADP) in families from the NIMH Alzheimer's Disease Genetic Initiative sample indicates that the trait is heritable, and linkage studies of multiplex ADP families have found suggestive peaks on 2p, 6q, 8p, and 21q. A genome scan of idiopathic psychosis, schizophrenia, in the Icelandic population identified a risk haplotype within the 5' region of neuregulin-1 (NRG1) on 8p12. Associations with NRG1 SNPs have also been found in other schizophrenia populations from Scotland, Ireland, and China. Here, we report results demonstrating a significant linkage peak for ADP on 8p12 in the NIMH AD dataset, encompassing the NRG1 region. We also demonstrate that there is a significant association with a NRG1 SNP (single nucleotide polymorphism), rs392499, with ADP, chi2 = 7.0, P = 0.008. This same SNP is part of a 3-SNP haplotype preferentially transmitted to individuals with this phenotype. Our results suggest that NRG1 plays a role in increasing the genetic risk to positive symptoms of psychosis in a proportion of LOAD families.

Aged↗

Empirical bayes method for incorporating data from multiple genome scans.

Individual genome scans tend to have low power and can produce markedly biased estimates of QTL effects. Further, the confidence interval for their location is often prohibitively large for subsequent fine mapping and positional cloning. Given that a large number of genome scans have been conducted, not to mention the large number of variables and subsets tested, it is difficult to confidently rule out type 1 error as an explanation for significant effects even when there is apparent replication in a separate data set. We adapted Empirical Bayes (EB) methods [1] to analyze data from multiple genome scans simultaneously and alleviate each of these problems while still allowing for different QTL population effects across studies. We investigated the effects of using the EB method to include data from background studies to update the results of a single study of interest via simulation and demonstrated that it has a stable confidence level over a wide range of parameters defining the background studies and increased the power to detect linkage, even when some of the background studies were null or had QTL effect at other markers. This EB method for incorporating data from multiple studies into genome scan analyses seems promising.

Alzheimer Disease↗

Salivary Actinomyces naeslundii genospecies 2 and Lactobacillus casei levels predict pregnancy outcomes.

BACKGROUND: Gravida's poor periodontal health is emerging as a modifiable independent risk factor for preterm delivery and low birth weight. METHODS: To test the hypothesis that oral bacteria other than periodontal pathogens are also associated with pregnancy outcomes, specific oral bacterial levels measured during pregnancy were evaluated in relation to gestational age and birth weight while controlling for demographic, medical, and dental variables. The study population consisted of 297 predominantly African- American women who were pregnant for the first time. The salivary bacterial levels evaluated were Streptococcus mutans, Streptococcus sobrinus, Streptococcus sanguinus, Lactobacillus acidophilus, Lactobacillus casei, Actinomyces naeslundii genospecies (gsp) 1 and 2, total streptococci, and total cultivable organisms. RESULTS: For 1 unit increase in log(10) A. naeslundii gsp 2 levels, there was a 60 gm decrease in birth weight (beta = -59.7 g; SE = 29.1; P = 0.04), and a 0.17 week decrease in gestational age (beta = -0.17 wk; SE = 0.09; P = 0.05). In contrast, per 1 unit increase in log(10) L. casei levels, there was a 42 gm increase in birth weight (beta = 42.2 g; SE = 19.3; P = 0.03), and a 0.13 week increase in gestational age (beta = 0.13 week; SE = 0.06; P = 0.04). CONCLUSIONS: We conclude that other oral bacterial species can also be related to pregnancy outcomes in addition to previously reported periodontal pathogens. These organism levels may not only predict poor pregnancy outcomes, but also be used as modifiable risk factors in reducing prematurity and low birth weight.

Actinomyces↗

Results of a high-resolution genome screen of 437 Alzheimer's disease families.

Alzheimer's disease (AD) is a devastating neurodegenerative disorder of late life with complex inheritance. Mutations in three known genes lead to the rare early-onset autosomal dominant form of AD, while a common polymorphism (epsilon 4) in the gene encoding apolipoprotein E (APOE ) is a risk factor for more typical late-onset (>60 years) AD. A recent study concluded that there are up to four additional genes with an equal or greater contribution to the disease. We performed a 9 cM genome screen of 437 families with AD, the full National Institute of Mental Health (NIMH) sample, which has been carefully ascertained, evaluated and followed by our group over the last decade. Performing standard parametric and non-parametric linkage analyses, we observed a 'highly significant' linkage peak by Lander and Kruglyak criteria on chromosome 19q13, which probably represents APOE. Twelve additional locations-on 1q23, 3p26, 4q32, 5p14, 6p21, 6q27, 9q22, 10q24, 11q25, 14q22, 15q26 and 21q22-met criteria for 'suggestive' linkage [i.e. two-point lod score (TLS) >/=1.9 and/or multipoint lod score (MLS) >/=2.2] in at least one of our analyses. Although some of these will surely prove to be false positives, these linkage signals should provide a valuable framework for future studies aimed at identifying additional susceptibility genes for late-onset AD.

Aged↗

X-linked extension of the revised Haseman-Elston algorithm for linkage analysis in sib pairs.

Haseman and Elston (H-E) proposed a regression-based robust test of linkage between a marker and an autosomal quantitative trait locus, using the squared sib pair trait difference as a dependent variable and the proportion of alleles shared identical by descent by the sib pair as an independent variable. Several authors have proposed improvement of the original H-E's seminal work by using an optimal linear combination of squared sum and squared difference as the dependent variable. In this paper, we extend Haseman and Elston's sib pair method to an X-linked locus. We give a general formulation of the complete regression model and details of the regression coefficients in terms of variance components. Simulation results are presented to describe the power of this technique for a theoretical best case scenario.

Algorithms↗