The ankyrin-3 gene is associated with posttraumatic stress disorder and externalizing comorbidity.

BACKGROUND: The ankyrin 3 gene (ANK3) produces the ankyrin G protein that plays an integral role in regulating neuronal activity. Previous studies have linked ANK3 to bipolar disorder and schizophrenia. A recent mouse study suggests that ANK3 may regulate behavioral disinhibition and stress reactivity. This led us to hypothesize that ANK3 might also be associated with stress-related psychopathology such as posttraumatic stress disorder (PTSD), as well as disorders of the externalizing spectrum such as antisocial personality disorder and substance-related disorders that are etiologically linked to impulsivity and temperamental disinhibition. METHODS: We examined the possibility of association between ANK3 SNPs and both PTSD and externalizing (defined by a factor score representing a composite of adult antisociality and substance abuse) in a cohort of white non-Hispanic combat veterans and their intimate partners (n=554). Initially, we focused on rs9804190-a SNP previously reported to be associated with bipolar disorder, schizophrenia, and ankyrin G expression in brain. Then we examined 358 additional ANK3 SNPs utilizing a multiple-testing correction. RESULTS: rs9804190 was associated with both externalizing and PTSD (p=0.028 and p=0.042 respectively). Analysis of other ANK3 SNPs identified several that were more strongly associated with either trait. The most significant association with externalizing was observed at rs1049862 (p=0.00040, pcorrected=0.60). The most significant association with PTSD (p=0.00060, pcorrected=0.045) was found with three SNPs in complete linkage disequilibrium (LD)-rs28932171, rs11599164, and rs17208576. CONCLUSIONS: These findings support a role of ANK3 in risk of stress-related and externalizing disorders, beyond its previous associations with bipolar disorder and schizophrenia.

Fetal hemoglobin in sickle cell anemia: genetic studies of the Arab-Indian haplotype.

Sickle cell anemia is common in the Middle East and India where the HbS gene is sometimes associated with the Arab-Indian (AI) ß-globin gene (HBB) cluster haplotype. In this haplotype of sickle cell anemia, fetal hemoglobin (HbF) levels are 3-4 fold higher than those found in patients with HbS haplotypes of African origin. Little is known about the genetic elements that modulate HbF in AI haplotype patients. We therefore studied Saudi HbS homozygotes with the AI haplotype (mean HbF 19.2±7.0%, range 3.6 to 39.6%) and employed targeted genotyping of polymorphic sites to explore cis- and trans- acting elements associated with high HbF expression. We also described sequences which appear to be unique to the AI haplotype for which future functional studies are needed to further define their role in HbF modulation. All cases, regardless of HbF concentration, were homozygous for AI haplotype-specific elements cis to HBB. SNPs in BCL11A and HBS1L-MYB that were associated with HbF in other populations explained only 8.8% of the variation in HbF. KLF1 polymorphisms associated previously with high HbF were not present in the 44 patients tested. More than 90% of the HbF variance in sickle cell patients with the AI haplotype remains unexplained by the genetic loci that we studied. The dispersion of HbF levels among AI haplotype patients suggests that other genetic elements modulate the effects of the known cis- and trans-acting regulators. These regulatory elements, which remain to be discovered, might be specific in the Saudi and some other populations where HbF levels are especially high.

Genetic signatures of exceptional longevity in humans.

Like most complex phenotypes, exceptional longevity is thought to reflect a combined influence of environmental (e.g., lifestyle choices, where we live) and genetic factors. To explore the genetic contribution, we undertook a genome-wide association study of exceptional longevity in 801 centenarians (median age at death 104 years) and 914 genetically matched healthy controls. Using these data, we built a genetic model that includes 281 single nucleotide polymorphisms (SNPs) and discriminated between cases and controls of the discovery set with 89% sensitivity and specificity, and with 58% specificity and 60% sensitivity in an independent cohort of 341 controls and 253 genetically matched nonagenarians and centenarians (median age 100 years). Consistent with the hypothesis that the genetic contribution is largest with the oldest ages, the sensitivity of the model increased in the independent cohort with older and older ages (71% to classify subjects with an age at death>102 and 85% to classify subjects with an age at death>105). For further validation, we applied the model to an additional, unmatched 60 centenarians (median age 107 years) resulting in 78% sensitivity, and 2863 unmatched controls with 61% specificity. The 281 SNPs include the SNP rs2075650 in TOMM40/APOE that reached irrefutable genome wide significance (posterior probability of association = 1) and replicated in the independent cohort. Removal of this SNP from the model reduced the accuracy by only 1%. Further in-silico analysis suggests that 90% of centenarians can be grouped into clusters characterized by different "genetic signatures" of varying predictive values for exceptional longevity. The correlation between 3 signatures and 3 different life spans was replicated in the combined replication sets. The different signatures may help dissect this complex phenotype into sub-phenotypes of exceptional longevity.

Severe sickle cell anemia is associated with increased plasma levels of TNF-R1 and VCAM-1.

Sickle cell anemia (SCA, HBB glu6val) is characterized by multiple complications and a high degree of phenotypic variability: some subjects have only sporadic pain crises and few acute hospitalizations, while others experience multiple serious complications, high levels of morbidity, and accelerated mortality [1]. The tumor necrosis factor-α (TNF-α) signaling pathway plays important roles in inflammation and the immune response; variation in this pathway might be expected to modify the overall severity of SCA through the pathway's effects on the vascular endothelium [2,3]. We examined plasma biomarkers of TNF-α activity and endothelial cell activation for associations with SCA severity in 24 adults (12 mild, 12 severe). Two biomarkers, tumor necrosis factor-α receptor-1 (TNF-R1) and vascular cell adhesion molecule-1 (VCAM-1) were significantly higher in subjects with severe SCA. Along with these biomarker differences, we also examined data from a genome-wide association study (GWAS) using SCA severity as a disease phenotype, and found evidence of genetic association between disease severity and a single nucleotide polymorphism (SNP) in VCAM1, which codes for VCAM-1, and several SNPs in ARFGEF2, a gene involved in TNF-R1 release [4].

Genetic signatures of exceptional longevity in humans.

Healthy aging is thought to reflect the combined influence of environmental factors (lifestyle choices) and genetic factors. To explore the genetic contribution, we undertook a genome-wide association study of exceptional longevity (EL) in 1055 centenarians and 1267 controls. Using these data, we built a genetic model that includes 150 single-nucleotide polymorphisms (SNPs) and found that it could predict EL with 77% accuracy in an independent set of centenarians and controls. Further in silico analysis revealed that 90% of centenarians can be grouped into 19 clusters characterized by different combinations of SNP genotypes-or genetic signatures-of varying predictive value. The different signatures, which attest to the genetic complexity of EL, correlated with differences in the prevalence and age of onset of age-associated diseases (e.g., dementia, hypertension, and cardiovascular disease) and may help dissect this complex phenotype into subphenotypes of healthy aging.

Genetic modifiers of the severity of sickle cell anemia identified through a genome-wide association study.

We conducted a genome-wide association study (GWAS) to discover single nucleotide polymorphisms (SNPs) associated with the severity of sickle cell anemia in 1,265 patients with either "severe" or "mild" disease based on a network model of disease severity. We analyzed data using single SNP analysis and a novel SNP set enrichment analysis (SSEA) developed to discover clusters of associated SNPs. Single SNP analysis discovered 40 SNPs that were strongly associated with sickle cell severity (odds for association >1,000); of the 32 that we could analyze in an independent set of 163 patients, five replicated, eight showed consistent effects although failed to reach statistical significance, whereas 19 did not show any convincing association. Among the replicated associations are SNPs in KCNK6 a K(+) channel gene. SSEA identified 27 genes with a strong enrichment of significant SNPs (P < 10(-6)); 20 were replicated with varying degrees of confidence. Among the novel findings identified by SSEA is the telomere length regulator gene TNKS. These studies are the first to use GWAS to understand the genetic diversity that accounts the phenotypic heterogeneity sickle cell anemia as estimated by an integrated model of severity. Additional validation, resequencing, and functional studies to understand the biology and reveal mechanisms by which candidate genes might have their effects are the future goals of this work.

RNA editing genes associated with extreme old age in humans and with lifespan in C. elegans.

BACKGROUND: The strong familiality of living to extreme ages suggests that human longevity is genetically regulated. The majority of genes found thus far to be associated with longevity primarily function in lipoprotein metabolism and insulin/IGF-1 signaling. There are likely many more genetic modifiers of human longevity that remain to be discovered. METHODOLOGY/PRINCIPAL FINDINGS: Here, we first show that 18 single nucleotide polymorphisms (SNPs) in the RNA editing genes ADARB1 and ADARB2 are associated with extreme old age in a U.S. based study of centenarians, the New England Centenarian Study. We describe replications of these findings in three independently conducted centenarian studies with different genetic backgrounds (Italian, Ashkenazi Jewish and Japanese) that collectively support an association of ADARB1 and ADARB2 with longevity. Some SNPs in ADARB2 replicate consistently in the four populations and suggest a strong effect that is independent of the different genetic backgrounds and environments. To evaluate the functional association of these genes with lifespan, we demonstrate that inactivation of their orthologues adr-1 and adr-2 in C. elegans reduces median survival by 50%. We further demonstrate that inactivation of the argonaute gene, rde-1, a critical regulator of RNA interference, completely restores lifespan to normal levels in the context of adr-1 and adr-2 loss of function. CONCLUSIONS/SIGNIFICANCE: Our results suggest that RNA editors may be an important regulator of aging in humans and that, when evaluated in C. elegans, this pathway may interact with the RNA interference machinery to regulate lifespan.

A hierarchical and modular approach to the discovery of robust associations in genome-wide association studies from pooled DNA samples.

BACKGROUND: One of the challenges of the analysis of pooling-based genome wide association studies is to identify authentic associations among potentially thousands of false positive associations. RESULTS: We present a hierarchical and modular approach to the analysis of genome wide genotype data that incorporates quality control, linkage disequilibrium, physical distance and gene ontology to identify authentic associations among those found by statistical association tests. The method is developed for the allelic association analysis of pooled DNA samples, but it can be easily generalized to the analysis of individually genotyped samples. We evaluate the approach using data sets from diverse genome wide association studies including fetal hemoglobin levels in sickle cell anemia and a sample of centenarians and show that the approach is highly reproducible and allows for discovery at different levels of synthesis. CONCLUSION: Results from the integration of Bayesian tests and other machine learning techniques with linkage disequilibrium data suggest that we do not need to use too stringent thresholds to reduce the number of false positive associations. This method yields increased power even with relatively small samples. In fact, our evaluation shows that the method can reach almost 70% sensitivity with samples of only 100 subjects.

Fetal hemoglobin in sickle cell anemia: Bayesian modeling of genetic associations.

We genotyped single nucleotide polymorphisms (SNPs) in: (1) the beta-globin gene-like cluster, (2) quantitative trait loci (QTL) previously associated with fetal hemoglobin (HbF) concentration on chromosomes 6q, 8q, and Xp, and (3) candidate genes that could effect HbF levels, in sickle cell anemia subjects. HbF concentration was modeled as a continuous variable with values in a finite interval using a novel Bayesian approach. We first tested the associations of SNPs with HbF in a group of 1,518 adults and children (CSSCD study), and validated the results in a second independent group of 211 adults (MSH study). In subjects aged >or=24 years, 5 SNPs in TOX (8q12.1), 2 SNPs in the beta-globin gene-like cluster, 2 SNPs in the Xp QTL, and 1 SNP in chromosome 15q22 were associated with HbF in the CSSCD and also validated in the MSH. Four other SNPs in 15q22 were associated with HbF only in the larger CSSCD data. When patients aged <24 years in the CSSCD were examined, additional genes, including 4 with roles in nitric oxide metabolism, were associated with HbF level. These studies confirm prior analyses using traditional analytical approaches showing associations of SNPs in TOX, GPM6B, and the beta-globin gene-like cluster with HbF levels. We also identified an additional candidate regulatory region in chromosome 15q22 that is associated with HbF level. By stratifying patients by age, our results also suggest that different genes might modulate the rate of decline of HbF and the final level of HbF levels in sickle cell anemia.

A novel gene (Cmya3) induced in the heart by angiotensin II-dependent but not salt-dependent hypertension in mice.

OBJECTIVE: In previous studies using serial analysis of gene expression for elucidation of the molecular pathways of angiotensin II (Ang II)-induced hypertensive/ischemic cardiomyopathy in mice, we found that a hitherto unknown transcript, designated initially as 2310008C07Rik, an unknown expressed sequence tag (EST), was highly significantly upregulated in myocardial tissue. The current experiments were designed to further characterize this gene and to evaluate its expression in various types of hypertension. METHODS: Mice rendered hypertensive by Ang II infused intravenously at 30 ng/min for 6 h or by osmotic minipump at 0.9 mug/h for 7 or 14 days, were compared to saline-infused normotensive controls and to mice with hypertension induced by subtotal nephrectomy and 1% saline as drinking water. At end point, mice were euthanized, their tissues processed for gene expression analysis, and results were confirmed by ribonuclease protection assay. RESULTS: The Ang II-infused mice developed systolic blood pressure (BP) of 134 +/- 7, 158 +/- 13, and 149 +/- 15 mm Hg at 6 h, 7 days, and 14 days, respectively, compared to 102 +/- 9, 110 +/- 8, and 114 +/- 7 mm Hg in their respective controls and subtotally nephrectomized salt-fed mice had end point blood pressure of 153 +/- 5 v 112 +/- 7 mm Hg in controls. Through sequencing and expression analysis we found that the unknown transcript is part of the cardiomyopathy associated 3 (Cmya3) gene, being overexpressed in Ang II-induced but not salt-induced hypertension. CONCLUSIONS: The highly expressed 2310008C07Rik EST was found to be part of Cmya3 and its upregulation is due to Ang II-induced myocardial damage and not to BP elevation per se.

Association of NEDD4L ubiquitin ligase with essential hypertension.

NEDD4L is a ubiquitin ligase that controls cell surface expression of kidney epithelial Na+ channels by ubiquitin-mediated endocytosis and lysosome targeting. Thus, it is a significant determinant of Na+ reabsorption in the distal nephron. The NEDD4L gene is located on human chromosome 18q21 within several blood pressure quantitative trait loci, including those for familial orthostatic hypotension, essential hypertension, pulse pressure, and systolic blood pressure response to postural challenge. Because of the importance of NEDD4L to Na+ balance, many of these studies have proposed that mutations in NEDD4L may be responsible for these blood pressure phenotypes. To test this hypothesis, we fine-mapped the NEDD4L region in 2 families with orthostatic hypotension, which we previously reported to be linked to human chromosome 18q21 but failed to implicate NEDD4L in these families. We also typed multiple NEDD4L single-nucleotide polymorphisms (SNPs) in a collection of US whites, Greek whites, and African-Americans individuals with essential hypertension. A significant association between several SNPs and hypertension was observed in all 3 populations. One of the SNPs associated in African Americans is known to result in premature truncation of the NEDD4L protein. Thus, genetic variation in NEDD4L may play a role in the development or progression of some forms of abnormal blood pressure.

Sequence variation of bradykinin receptors B1 and B2 and association with hypertension.

OBJECTIVE: To identify variants in the complete genomic sequence of the two subtypes of bradykinin receptors: B1 (BDKRB1) and B2 (BDKRB2) and to examine the association of these variants with essential hypertension. DESIGN: A case-control design comparing hypertensive and normotensive individuals was used. METHOD: A 64.4 kb genomic region containing the BDKRB1 and BDKRB2 genes was sequenced in 30 African-American individuals. A total of 282 single-nucleotide polymorphisms (SNPs) were identified. A total of 21 SNPs were genotyped in our complete cohorts of hypertensive and normotensive African-Americans (n = 218), American-Caucasians (n = 220) and Greek-Caucasians (n = 194). Pair-wise correlation coefficients were computed to assess linkage disequilibrium (LD) patterns among the SNPs. Chi-squared tests and logistic regression were used to assess association between the SNPs and hypertension status. RESULT: Pairwise LD demonstrated a general pattern of decline with increasing distance, which was consistent among the three groups with less LD in African-Americans. One SNP in the promoter region of BDKRB2 (rs1799722) was associated with hypertension (P = 0.044) in African-Americans. One SNP in BDKRB2 and three SNPs in BDKRB1 were associated with hypertension (P-values between 0.026 and 0.0004) in American-Caucasians. Haplotypes including those four SNPs and one SNP in B2, which results in an amino acid change, demonstrated a significant haplotype frequency difference between hypertensive and normotensive American-Caucasians (P = 0.025). CONCLUSION: These results support the hypothesis that the African-American population is an older population compared with the other samples and the two bradykinin receptors may play a role in blood pressure regulation.