PDE4B polymorphisms and decreased PDE4B expression are associated with schizophrenia.

Schizophrenia has a complex genetic underpinning and variations in a number of candidate genes have been identified that confer risk of developing the disorder. We report in the present studies that several single nucleotide polymorphisms (SNPs) and a two-SNP haplotype in PDE4B are associated with an increased incidence of schizophrenia in two large populations of Caucasian and African American patients. The SNPs in PDE4B associated with schizophrenia occur in intronic sequences in the vicinity of a critical splice junction that gives rise to the expression of PDE4B isoforms with distinct regulation and function. We also observed specific decreases in phosphodiesterase 4B (PDE4B) isoforms in brain tissue obtained postmortem from patients diagnosed with schizophrenia and bipolar disorder. PDE4B metabolically inactivates the second messenger cAMP to regulate intracellular signaling in neurons throughout the brain. Thus, the present observations suggest that dysregulation of intracellular signaling mediated by PDE4B is a significant factor in the cause and expression, respectively, of schizophrenia and bipolar disorder and that targeting PDE4B-regulated signaling pathways may yield new therapies to treat the totality of these disorders.

Association of torsades de pointes with novel and known single nucleotide polymorphisms in long QT syndrome genes.

BACKGROUND: Reduction of drug-induced adverse events may be achievable through a better understanding of the underlying causes of such events. Identifying phenotypes and genotypes that allow event prediction would provide greater safety margins for new therapeutics. Torsades de pointes (TdP) is one such life-threatening adverse event and can arise from excessive lengthening of the QT interval. This study was designed to better understand the role of genetics in the development of TdP and to determine whether genotypes can be used to predict susceptibility and thus reduce adverse events. METHODS: Seven known familial long QT syndrome genes were scanned for sequence variations in 34 patients with TdP. This group of patients is the largest such cohort ever assembled for this type of analysis. The allele frequencies for novel and known polymorphisms in these patients were compared with those in healthy control subjects. RESULTS: Six novel mutations--4 in ANK2, 1 in KCNQ1, and 1 in SCN5A--were found in the patients with TdP. Two mutations were also found in 595 healthy control subjects, whereas the others were unique to patients with TdP. Two common single nucleotide polymorphisms may be associated with the risk of TdP. The entire ANK2 gene had not been screened in a population this large previously. CONCLUSIONS: Genotypes alone could not be used to completely predict susceptibility to TdP, even when used with phenotypes. The best model using genotypic and phenotypic variables was unable to predict all events. It is unclear what other risk genes or environmental effects might be necessary to predict such cases.

Comparing age-related macular degeneration phenotype in probands from singleton and multiplex families.

PURPOSE: To compare age-related macular degeneration (AMD) phenotype between probands in singleton and multiplex families to determine whether data from these two groups may be combined for consolidated genetic analyses. DESIGN: Retrospective case-control study. METHODS: Individuals 55 years of age or older with AMD were identified. Complete histories and examinations were recorded, 35-mm fundus photographs obtained, and macular findings graded. Detailed information was recorded, including the presence of extramacular and peripheral drusen, peripheral reticular pigmentary change, posterior vitreous detachment, and iris color. Comparisons were performed between probands from singleton and multiplex families. RESULTS: There was no statistically significant difference in grade between the 411 singleton and 125 multiplex probands (P = .52), and the distribution of grades was similar between the two groups. No statistically significant difference was found between proband groups with respect to the presence or extent of small (P = .48), intermediate (P = .72), and large drusen (P = .74) and retinal pigment epithelium hyper- (P = .76) and hypopigmentation (P = .55); in the presence or grade of peripheral reticular pigment change; the presence of geographic atrophy in exudative disease, extramacular drusen, or posterior vitreous detachment; lens status; iris color; visual acuity; intraocular pressure; optic nerve cupping; and body mass index. A statistically significant difference between the two groups was noted in the presence of peripheral drusen (P = .0001). CONCLUSIONS: Singleton and multiplex AMD probands share a similar phenotype. This suggests that multiplex and singleton data can be combined for consolidated genetic analyses.

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.