Aging is characterized by clonal expansion of myeloid-biased hematopoietic stem cells and by an increased risk of myeloid malignancies. Exome sequencing of 3 elderly females with clonal hematopoiesis demonstrated by X-inactivation analysis identified somatic TET2 mutations. Recurrence testing found TET2 mutations in 10 out of 182 individuals with X-inactivation skewing. TET2 mutations were specific to individuals with clonal hematopoiesis without hematologic malignancies and were associated with alterations in DNA methylation.

Age-associated clonal hematopoiesis caused by acquired mutations in myeloid cancer-associated genes is highly prevalent in the normal population. Its etiology, biological impact on hematopoiesis, and oncogenic risk is poorly defined at this time. To gain insight into this phenomenon, we analyzed a cohort of 2530 related and unrelated hematologically normal individuals (ages 55 to 101 years). We used a sensitive gene-targeted deep sequencing approach to gain precision on the exact prevalence of driver mutations and the proportions of affected genes. Mutational status was correlated with biological parameters. We report a higher overall prevalence of driver mutations (13.7%), which occurred mostly (93%) in or and were highly age-correlated. Mutation in these 2 genes had some distinctive effects on end points. mutations were more age-dependent, associated with a modest neutropenic effect (9%, = .012), demonstrated familial aggregation, and associated with chronic obstructive pulmonary disease. Mutations in had no impact on blood counts or indices. Mutational burden of both genes correlated with X-inactivation skewing but no significant association with age-adjusted telomere length reduction was documented. The discordance between the high prevalence of mutations in these 2 genes and their limited biological impact raise the question of the potential role of dysregulated epigenetic modifiers in normal aging hematopoiesis, which may include support to failing hematopoiesis.

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BackgroundGenome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits.ObjectivesThis study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci.MethodsIn discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs.ResultsWe identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10−4 with a range of other diseases/traits.ConclusionsWe identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk.

H igh-density lipoprotein (HDL)-based therapies have yielded disappointing results, [1][2][3][4] which have led to questioning of the HDL hypothesis. Cholesteryl ester transfer protein mediates the transfer of cholesteryl esters from HDL to apolipoprotein B-containing particles, such as low-density lipoproteins (LDLs).5 Torcetrapib, the first cholesteryl ester transfer protein inhibitor to be evaluated in a large clinical trial, caused excess morbidity and mortality despite increasing HDL-cholesterol levels by ≈70% although elevations of aldosterone levels and blood pressure observed in some patients may have contributed to the negative findings.3 Dalcetrapib is another cholesteryl ester transfer protein inhibitor that raises HDL-cholesterol levels by ≈30%, without effects on circulating neurohormones. 6 The dal-OUTCOMES trial was designed to test whether dalcetrapib could modify cardiovascular risk in patients with a recent acute coronary syndrome. Background-Dalcetrapib did not improve clinical outcomes, despite increasing high-density lipoprotein cholesterol by 30%. These results differ from other evidence supporting high-density lipoprotein as a therapeutic target. Responses to dalcetrapib may vary according to patients' genetic profile. Methods and Results-We conducted a pharmacogenomic evaluation using a genome-wide approach in the dal-OUTCOMES study (discovery cohort, n=5749) and a targeted genotyping panel in the dal-PLAQUE-2 imaging trial (support cohort, n=386). The primary endpoint for the discovery cohort was a composite of cardiovascular events. The change from baseline in carotid intima-media thickness on ultrasonography at 6 and 12 months was evaluated as supporting evidence. A single-nucleotide polymorphism was found to be associated with cardiovascular events in the dalcetrapib arm, identifying the ADCY9 gene on chromosome 16 (rs1967309; P=2.41×10 -8 ), with 8 polymorphisms providing P<10 -6 in this gene. Considering patients with genotype AA at rs1967309, there was a 39% reduction in the composite cardiovascular endpoint with dalcetrapib compared with placebo (hazard ratio, 0.61; 95% confidence interval, 0.41-0.92). In patients with genotype GG, there was a 27% increase in events with dalcetrapib versus placebo. Ten single-nucleotide polymorphism in the ADCY9 gene, the majority in linkage disequilibrium with rs1967309, were associated with the effect of dalcetrapib on intima-media thickness (P<0.05). Marker rs2238448 in ADCY9, in linkage disequilibrium with rs1967309 (r 2 =0.8), was associated with both the effects of dalcetrapib on intima-media thickness in dal-PLAQUE-2 (P=0.009) and events in dal-OUTCOMES (P=8.88×10 -8 ; hazard ratio, 0.67; 95% confidence interval, 0.58-0.78). Conclusions-The Tardif et al Pharmacogenomic Determinants of Dalcetrapib 373Dalcetrapib failed to improve clinical outcomes among the 15 871 patients of the dal-OUTCOMES study, with no subgroups defined by baseline clinical or biochemical characteristics appearing to benefit from therapy. 4 These results are ...

BackgroundPrenatal alcohol exposure is the leading preventable cause of behavioral and cognitive deficits, which may affect between 2 and 5 % of children in North America. While the underlying mechanisms of alcohol’s effects on development remain relatively unknown, emerging evidence implicates epigenetic mechanisms in mediating the range of symptoms observed in children with fetal alcohol spectrum disorder (FASD). Thus, we investigated the effects of prenatal alcohol exposure on genome-wide DNA methylation in the NeuroDevNet FASD cohort, the largest cohort of human FASD samples to date.MethodsGenome-wide DNA methylation patterns of buccal epithelial cells (BECs) were analyzed using the Illumina HumanMethylation450 array in a Canadian cohort of 206 children (110 FASD and 96 controls). Genotyping was performed in parallel using the Infinium HumanOmni2.5-Quad v1.0 BeadChip.ResultsAfter correcting for the effects of genetic background, we found 658 significantly differentially methylated sites between FASD cases and controls, with 41 displaying differences in percent methylation change >5 %. Furthermore, 101 differentially methylated regions containing two or more CpGs were also identified, overlapping with 95 different genes. The majority of differentially methylated genes were highly expressed at the level of mRNA in brain samples from the Allen Brain Atlas, and independent DNA methylation data from cortical brain samples showed high correlations with BEC DNA methylation patterns. Finally, overrepresentation analysis of genes with up-methylated CpGs revealed a significant enrichment for neurodevelopmental processes and diseases, such as anxiety, epilepsy, and autism spectrum disorders.ConclusionsThese findings suggested that prenatal alcohol exposure is associated with distinct DNA methylation patterns in children and adolescents, raising the possibility of an epigenetic biomarker of FASD.Electronic supplementary materialThe online version of this article (doi:10.1186/s13072-016-0074-4) contains supplementary material, which is available to authorized users.

Skewing of X chromosome inactivation (XCI) can occur in normal females and increases in tissues with age. The mechanisms underlying skewing in normal females, however, remain controversial. To better understand the phenomenon of XCI in nondisease states, we evaluated XCI patterns in epithelial and hematopoietic cells of over 500 healthy female mother-neonate pairs. The incidence of skewing observed in mothers was twice that observed in neonates, and in both cohorts, the incidence of XCI was lower in epithelial cells than hematopoietic cells. These results suggest that XCI incidence varies by tissue type and that age-dependent mechanisms can influence skewing in both epithelial and hematopoietic cells. In both cohorts, a correlation was identified in the direction of skewing in epithelial and hematopoietic cells, suggesting common underlying skewing mechanisms across tissues. However, there was no correlation between the XCI patterns of mothers and their respective neonates, and skewed mothers gave birth to skewed neonates at the same frequency as nonskewed mothers. Taken together, our data suggest that in humans, the XCI pattern observed at birth does not reflect a single heritable genetic locus, but rather corresponds to a complex trait determined, at least in part, by selection biases occurring after XCI. IntroductionIn mammals, dosage compensation of X-linked genes in females is achieved by the transcriptional silencing of 1 of the 2 X chromosomes during early development, a process known as X chromosome inactivation (XCI) (1). Once XCI has occurred, the heterochromatin-enriched inactive X chromosome is stably transmitted to each daughter cell through subsequent mitoses. In human and mouse embryos, either of the 2 X chromosomes (paternal or maternal) can be inactivated. As a consequence, females from both species present a mosaic pattern of 2 cell lines, one expressing maternal X-linked genes and the other expressing paternal X-linked genes. The XCI ratio (or XCI pattern) corresponds to the relative proportion of each cell line. This ratio can be determined by the analysis of expression (2), transcription (3), or differential methylation (4) of polymorphic X-linked genes, such as the human androgen receptor (HUMARA) gene (5). Significant deviation from the theoretical 1:1 ratio between the 2 parental alleles is called skewing. As it was first suggested by pioneers of X-inactivation analysis, including Fialkow (6) and Vogelstein (7), in most studies, skewing and extreme skewing are arbitrarily defined as greater than or equal to 75% and greater than or equal to 90% of cells expressing the same X chromosome, respectively.Skewed patterns of XCI were initially found in female carriers of specific X-linked mutations (8, 9) where skewing resulted from

Schnyder crystalline corneal dystrophy (SCCD, MIM 121800) is a rare autosomal dominant disease characterized by progressive opacification of the cornea resulting from the local accumulation of lipids, and associated in some cases with systemic dyslipidemia. Although previous studies of the genetics of SCCD have localized the defective gene to a 1.58 Mbp interval on chromosome 1p, exhaustive sequencing of positional candidate genes has thus far failed to reveal causal mutations. We have ascertained a large multigenerational family in Nova Scotia affected with SCCD in which we have confirmed linkage to the same general area of chromosome 1. Intensive fine mapping in our family revealed a 1.3 Mbp candidate interval overlapping that previously reported. Sequencing of genes in our interval led to the identification of five putative causal mutations in gene UBIAD1, in our family as well as in four other small families of various geographic origins. UBIAD1 encodes a potential prenyltransferase, and is reported to interact physically with apolipoprotein E. UBIAD1 may play a direct role in intracellular cholesterol biochemistry, or may prenylate other proteins regulating cholesterol transport and storage.