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Supplemental Digital Content is available in the text., Background: Arrhythmogenic cardiomyopathy (ACM) is an inherited heart muscle disorder characterized by myocardial fibrofatty replacement and an increased risk of sudden cardiac death (SCD). Originally described as a right ventricular disease, ACM is increasingly recognized as a biventricular entity. We evaluated pathological, genetic, and clinical associations in a large SCD cohort. Methods: We investigated 5205 consecutive cases of SCD referred to a national cardiac pathology center between 1994 and 2018. Hearts and tissue blocks were examined by expert cardiac pathologists. After comprehensive histological evaluation, 202 cases (4%) were diagnosed with ACM. Of these, 15 (7%) were diagnosed antemortem with dilated cardiomyopathy (n=8) or ACM (n=7). Previous symptoms, medical history, circumstances of death, and participation in competitive sport were recorded. Postmortem genetic testing was undertaken in 24 of 202 (12%). Rare genetic variants were classified according to American College of Medical Genetics and Genomics criteria. Results: Of 202 ACM decedents (35.4±13.2 years; 82% male), no previous cardiac symptoms were reported in 157 (78%). Forty-one decedents (41/202; 20%) had been participants in competitive sport. The adjusted odds of dying during physical exertion were higher in men than in women (odds ratio, 4.58; 95% CI, 1.54–13.68; P=0.006) and in competitive athletes in comparison with nonathletes (odds ratio, 16.62; 95% CI, 5.39–51.24; P

Background: Non-ischaemic patterns of late gadolinium enhancement (LGE) with normal left ventricular volumes and ejection fraction are increasingly detected on cardiovascular magnetic resonance (CMR) but their prognostic significance, and consequently management, is uncertain. Objectives: To investigate the prognostic significance of LGE in patients without coronary artery disease and with normal range LV volumes and ejection fraction. Methods: Patients with mid-wall/subepicardial LGE and normal LV volumes, wall thickness and ejection fraction on CMR were enrolled and compared to a control group without LGE. 57 The primary outcome was actual or aborted sudden cardiac death (SCD). Results: Of 748 patients enrolled, 401 had LGE and 347 did not. Median age was 50 years (IQR 38-61), LV ejection fraction 66% (IQR 62-70) and 287 (38%) were women. Scan indications included chest pain (40%), palpitation (33%) and breathlessness (13%). No patient experienced SCD and only one LGE+ patient (0.13%) had an aborted SCD in the 11th follow-up year. Over a median of 4.3years, thirty patients (4.0%) died. All-cause mortality was similar for LGE+/- patients (3.7% vs 4.3%; p=0.71) and was associated with age (H 2.04 per 10-years; 95%CI 1.46-2.79; p

Clinical genetic testing of protein-coding regions identifies a likely causative variant in only around half of developmental disorder (DD) cases. The contribution of regulatory variation in non-coding regions to rare disease, including DD, remains very poorly understood. We screened 9,858 probands from the Deciphering Developmental Disorders (DDD) study for de novo mutations in the 5' untranslated regions (5' UTRs) of genes within which variants have previously been shown to cause DD through a dominant haploinsufficient mechanism. We identified four single-nucleotide variants and two copy-number variants upstream of MEF2C in a total of ten individual probands. We developed multiple bespoke and orthogonal experimental approaches to demonstrate that these variants cause DD through three distinct loss-of-function mechanisms, disrupting transcription, translation, and/or protein function. These non-coding region variants represent 23% of likely diagnoses identified in MEF2C in the DDD cohort, but these would all be missed in standard clinical genetics approaches. Nonetheless, these variants are readily detectable in exome sequence data, with 30.7% of 5' UTR bases across all genes well covered in the DDD dataset. Our analyses show that non-coding variants upstream of genes within which coding variants are known to cause DD are an important cause of severe disease and demonstrate that analyzing 5' UTRs can increase diagnostic yield. We also show how non-coding variants can help inform both the disease-causing mechanism underlying protein-coding variants and dosage tolerance of the gene.

Hypertrophic Cardiomyopathy (HCM) is an inherited disease characterized by genetic and phenotypic heterogeneity. MYH7 represents one of the main sarcomere-encoding genes associated with HCM. Missense variants in this gene cause HCM through gain-of-function actions, whereby variants produce an abnormal activated protein which incorporates into the sarcomere as a "poison peptide". Here we report a frameshift variant in MYH7, c.5769delG, that is associated with HCM in an Egyptian cohort (3.3%) compared with ethnically-matched controls. This variant is absent from previously published large-scale Caucasian HCM cohorts. We further demonstrate strong evidence of co-segregation of c.5769delG with HCM in a large family (LOD score: 3.01). The predicted sequence of the variant MYH7 transcript shows that the frameshift results in a premature termination codon (PTC) downstream of the last exon-exon junction of the gene that is expected to escape nonsense-mediated decay (NMD). RNA sequencing of myocardial tissue obtained from a patient with the variant during surgical myectomy confirmed the expression of the variant MYH7 transcript. Our analysis reveals a new mechanism of pathogenicity in the understudied Egyptian population whereby distal PTC in MYH7 may lead to the expression of an abnormal protein.

Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagnosis and treatment of many conditions. Deep learning approaches have recently achieved wide success in the analysis of medical images, but they lack interpretability in the feature extraction and decision processes. In this work, we propose a new interpretable deep learning model for shape analysis. In particular, we exploit deep generative networks to model a population of anatomical segmentations through a hierarchy of conditional latent variables. At the highest level of this hierarchy, a two-dimensional latent space is simultaneously optimised to discriminate distinct clinical conditions, enabling the direct visualisation of the classification space. Moreover, the anatomical variability encoded by this discriminative latent space can be visualised in the segmentation space thanks to the generative properties of the model, making the classification task transparent. This approach yielded high accuracy in the categorisation of healthy and remodelled left ventricles when tested on unseen segmentations from our own multi-centre dataset as well as in an external validation set, and on hippocampi from healthy controls and patients with Alzheimer's disease when tested on ADNI data. More importantly, it enabled the visualisation in three-dimensions of both global and regional anatomical features which better discriminate between the conditions under exam. The proposed approach scales effectively to large populations, facilitating highthroughput analysis of normal anatomy and pathology in largescale studies of volumetric imaging.

BACKGROUND: Cancer therapy-induced cardiomyopathy (CCM) is associated with cumulative drug exposures and preexisting cardiovascular disorders. These parameters incompletely account for substantial interindividual susceptibility to CCM. We hypothesized that rare variants in cardiomyopathy genes contribute to CCM. METHODS: We studied 213 patients with CCM from 3 cohorts: retrospectively recruited adults with diverse cancers (n=99), prospectively phenotyped adults with breast cancer (n=73), and prospectively phenotyped children with acute myeloid leukemia (n=41). Cardiomyopathy genes, including 9 prespecified genes, were sequenced. The prevalence of rare variants was compared between CCM cohorts and The Cancer Genome Atlas participants (n=2053), healthy volunteers (n=445), and an ancestry-matched reference population. Clinical characteristics and outcomes were assessed and stratified by genotypes. A prevalent CCM genotype was modeled in anthracycline-treated mice. RESULTS: CCM was diagnosed 0.4 to 9 years after chemotherapy; 90% of these patients received anthracyclines. Adult patients with CCM had cardiovascular risk factors similar to the US population. Among 9 prioritized genes, patients with CCM had more rare protein-altering variants than comparative cohorts ( P≤1.98e-04). Titin-truncating variants (TTNtvs) predominated, occurring in 7.5% of patients with CCM versus 1.1% of The Cancer Genome Atlas participants ( P=7.36e-08), 0.7% of healthy volunteers ( P=3.42e-06), and 0.6% of the reference population ( P=5.87e-14). Adult patients who had CCM with TTNtvs experienced more heart failure and atrial fibrillation ( P=0.003) and impaired myocardial recovery ( P=0.03) than those without. Consistent with human data, anthracycline-treated TTNtv mice and isolated TTNtv cardiomyocytes showed sustained contractile dysfunction unlike wild-type ( P=0.0004 and P

Background: Alcoholic cardiomyopathy (ACM) is defined by a dilated and impaired left ventricle due to chronic excess alcohol consumption. It is largely unknown what factors determine cardiac toxicity on exposure to alcohol. Objectives: We sought to evaluate the role of variation in cardiomyopathy-associated genes in the pathophysiology of ACM, and to examine the effects of alcohol intake and genotype on DCM severity. Methods: We characterized 141 ACM cases, 716 dilated cardiomyopathy (DCM) cases and 445 healthy volunteers. We compared the prevalence of rare, protein-altering variants in 9 genes associated with inherited DCM. We evaluated the effect of genotype and alcohol-consumption on phenotype in DCM. Results: Variants in well-characterized DCM-causing genes were more prevalent in patients with ACM than controls (13.5% vs 2.9%; P=1.2e-05), but similar between patients with ACM and DCM (19.4%; P=0.12) and with a predominant burden of Titin-truncating variants (TTNtv, 9.9%). Separately, we identified an interaction between TTN genotype and excess alcohol consumption in a cohort of DCM patients not meeting ACM criteria. On multivariate analysis, DCM patients with a TTNtv who consumed excess alcohol had an 8.7% absolute reduction in ejection fraction (95% CI -2.3 to -15.1, P

Background: Evaluation of left ventricular non-compaction (LVNC) is an increasingly common indication for cardiac magnetic resonance imaging (MRI). Fractal dimension (FD) is a unitless measure of geometrical complexity which can be used to quantify LV trabeculation. FD is increased in LVNC, but there have been few studies on FD in normal subjects. The aim of the study was to establish reference ranges for FD in a healthy population, and identify covariates which are associated with FD. Methods: MRI was performed in 1,913 volunteers without hypertension, diabetes, or heart disease (1055 female, 858 male; median age 40, range 19-82). FD was derived from LV short-axis images, using a custom MATLAB box-counting algorithm. The maximal FD in the apical half of the LV was used for all analyses, as previously described. Results: Normal ranges (2.5-97.5th percentile) for female and male subjects were 1.154 - 1.367 and 1.179 - 1.392, respectively. FD was significantly correlated with age, gender, ethnicity, body surface area (BSA), activity score, and systolic blood pressure. In multivariable analysis, FD was independently correlated with increased age (β 0.11, p

Aims The Irish DNA Atlas is a DNA collection being assembled with the aim of describing the fine-scale population structure in Ireland. Understanding such structure can inform on optimal design of clinical genetic studies as well as the history of the Irish population. We will present an overview of and the preliminary findings from the study. Methods We are recruiting individuals with all eight greatgrandparents born in Ireland, within 30 kilometres of each other. Participants are asked to complete a detailed birth-brief, which records place and date of birth of three generations of ancestors. We also collect some basic health-related details. DNA is extracted from a saliva sample. We have genotyped using an Illumina OmniExpressdense SNP genotyping platform. We present a number of analyses designed to visualise genetic structure, including; Principle Component, ADMIXTURE, and Runs of Homozygosity analysis. Results To date we have recruited 162 participants. The mean great-grandparental area is 32 kilometres, with an average greatgrandparental date of birth of 1850. Therefore the individuals in the Atlas provide insight to the genetic landscape of Ireland before significant movement of people from the 20th century onwards. An analysis of dense genotyping data from 142participants shows that the Atlas participants cluster closely with British individuals in a Europe wide PCA, but present different ancestral population components when compared with British, and other European populations. Irish individuals also present slightly higher levels of homozygosity relative to mainland European levels. PCA targeted at specific areas of interest within Ireland also hint at fine-scale substructure. Conclusion Ireland shows typical features of a homogenous population, well suited to the study of rare variation in disease risk., Background Progress in diagnostic and therapeutic strategies in medicine is dependent upon high-quality biomedical research. Translation of research findings into the clinic relies on patient participation in innovative clinical trials. We investigated attitudes to genetic research in Ireland, in particular with respect to commercial and financial implications. Methods A multi-centre cross-sectional survey study was performed. Consecutive patients attending four out-patient clinics were asked to complete paper-based questionnaires. An electronic version of the same questionnaire was created on Survey Monkey with a link made public on a social media website for a period of 24 hours. Data was analysed using SPSS. Results 351 questionnaires were completed (99 paper, 252 electronic). The majority of respondents were female (n = 288, 82%), and highly educated, with 244 (70%) attending college/university. Most participants supported genetic research (267, 76%), more frequently for common diseases (274, 78%) than rare disorders (204, 58%, p < 0.001, x2). 103 (29%) had participated in scientific research, and 57(16%) had donated material to a bio-bank. The majority (n = 213, 61%) would not support research with potential financial/commercial gain. 106(30%) would decline to participate in research if researchers would benefit financially, compared to 49(14%) if the research was supported by a pharmaceutical company, (p < 0.001, x2). Respondents would provide buccal samples (258, 74%) more readily than tissue (225, 64%) or blood (222, 63%). Conclusion A high level of support for genetic research exists among the Irish population, but active participation is dependent upon a number of factors, notably, type of biological material required, frequency of the disease in question, and commercial interest of the researchers., Introduction Although the etiology of schizophrenia (SZ) is largely unknown, it is increasingly clear that genetic and environmental interactions contribute to cognitive deficits associated with this disorder. Recent Genome wide association studies (GWAS) have indicated a link between SZ and immune dysregulation, especially genetic mutations related to the major histocompatibility complex (MHC). Cognitive deficits are core features of Schizophrenia and related disorders, which relate to genetic risk. This study aims to explore the relationship between MHC risk variants for SZ and cognitive deficits, while also relating findings to brain activity. Methods To test if MHC risk variants impair cognition, ANCOVA analysis is performed on genetics data previously collected in a GWAS. Cognition measures are compared in groups with and without MHC genetic risk, in a population of SZ sufferers and healthy controls. Functional MRI imaging will also be performed to test if genetic risk relates to altered neural activity. Results Preliminary analyses suggest that MHC risk variants contribute to impairments in cognition in domains of social cognition, IQ and attention. Further analysis will be performed to test for environmental mediators of this relationship, looking at cannabis use and urbanicity. BOLD fMRI will also be used to test for a relationship between MHC risk and altered neural activity, using MATLAB SPM. Conclusions The MHC genetic variant may serve as a significant risk marker for schizophrenia, and further elucidate etiology of this neurodevelopmental disorder. Future studies on neurobiology of social cognition, and greater knowledge of genetic risk may establish targets for interventions., Aim To create a bioluminescence mouse model which expresses firefly luciferase in the corneal epithelium to assess gene editing and gene silencing for the cornea. Methods A gene targeting vector was generated where the Krt12 coding sequence in and the splice donor site of exon 1 were replaced with a transgene cassette containing a luc2-Multiple Targeting Cassette (MTC) gene fusion. The vector was transfected by electroporation into the Taconic Artemis C57BL/6N Tac ES cell line. Homologous recombinant clones were isolated and validated, and the mice bred with luc2-positive/ PuroR-negative offspring used for colony establishment. To visualise the expression of luc2 within the corneal epithelium, luciferin substrate diluted in viscotears was applied to the front of the eye and then luciferase expression was imaged and assessed using a Xenogen IVIS Lumina Imager and LivingImage 3.2 software. Intrastromal injection of siGlo siRNA was used to determine the localisation of siRNA within the corneal epithelium and then the established mouse model was treated with either native or Accell “self-delivery” siRNA. Results The Accell “self-delivery” siRNA induced potent sustained allele specific silencing for 7 days, while native versions of siRNA resulted in significant knock-down for 1 day only (p < 0.05). We have created and validated a bioluminescence mouse model and have utilised it to assess siRNA in vivo. This mouse model coupled with the Lumina imager will allow us to assess topical delivery of gene therapies to the ocular surface allowing validation for future translation to clinical use., Background Methylation of DNA sequences at promoters, CpG islands and other elements plays a vital role in regulating gene activity. In human, loss of methylation is known to play a causative role in imprinting disorders and in inappropriate germline gene expression in cancers. While in mouse, loss of function mutants have given great insight into the targets of methylation, functional studies in human have been largely limited to cancer cells and more recently stem cells, not normal adult cells. Methods Stable knockdowns of the maintenance methyltransferase DNMT1 were generated in normosomic hTERT-immortalised adult fibroblasts. Genome-wide methylation levels were assayed using the Illumina 450K bead array. Results were analysed using RnBeads and Galaxy. Locusspecific methylation was verified using pyrosequencing and clonal analysis. Validation was achieved using transient siRNA. Results Loss of function was poorly tolerated and all clonally-expanded cell lines had spontaneously restored DNMT1 levels by silencing of the shRNA. Evidence for a genome-wide methylation erasure event followed by a wave of remethylation could be clearly traced. Gene bodies and the shores of CpG islands showed the clearest loss of methylation overall. While most CpG islands are normally unmethylated and so unaffected, both imprints and germline genes fall into the rarer category of normally methylated islands: of these two, lasting loss of methylation was much more common among imprints than germline genes. Conclusions 1: transient loss of methylation is poorly tolerated; 2: a robust mechanism for remethylation exists even in adult cells; 3: aberrant remethylation is frequent on recovery and 4: Imprints are particularly sensitive., Background Dihydrofolate reductase (DHFR) is essential for the conversion of folic acid to active folate needed for one-carbon metabolism. Common genetic variation within DHFR is restricted to the noncoding regions and previous studies have focused on a 19 bp deletion/insertion polymorphism (rs70991108) within intron 1. Reports of an association between this polymorphism and blood folate biomarker concentrations are conflicting. Objective We aimed to evaluate whether the DHFR 19bp deletion/ insertion polymorphism affects circulating folate biomarkers in the largest cohort to address this question to date. Methods Young healthy Irish individuals (n= 2,507) between 19 to 36 years old were recruited between February 2003 and 2004. Folic acid intake from supplements and fortified foods was assessed using a customized food intake questionnaire. Concentrations of serum folate and vitamin B-12, red blood cell (RBC) folate and plasma total homocysteine (tHcy) concentration were measured. Data were analysed using linear regression models. Results Folic acid intake was positively associated with serum (P 326μg folic acid/day; P = 0.96). A non-significant trend towards lower RBC folate by genotype (P = 0.09) was observed in the lowest folic acid intake quintile (0 – 51 μg/day). Conclusion In this cohort of young healthy individuals the DHFR 19bp deletion allele does not significantly affect circulating folate status, irrespective of folic acid intake. Our data rule out a strong functional effect of this polymorphism on blood folate concentrations.

Introduction: There is an urgent need for better arrhythmic risk stratification in non-ischaemic dilated cardiomyopathy (DCM), where the benefit of ICD implantation is unclear. Titin truncating variants (TTNtv) are the commonest genetic cause of DCM and are associated with early onset non-sustained ventricular tachycardia (NSVT) and atrial fibrillation (AF) in these patients. Hypothesis: We hypothesize that TTNtv status can predict potentially life threatening ventricular tachycardia (VT) or fibrillation (VF) and development of new persistent AF in DCM patients with CRT-D or ICD devices. Methods: We studied 117 DCM patients with an ICD or CRT-D and documented device-recorded arrhythmia over a median period of 4.2 years. Patients were stratified by TTN genotype (28 positive for a TTNtv, 89 negative). The primary outcome was time to first device-treated VT >200bpm or VF. Secondary outcome measures included time to first development of persistent AF. Results: TTNtv predicted the risk of receiving an appropriate ICD therapy for VT/VF (hazard ratio [HR] = 4.9, 95% confidence interval [CI]=2.3-10.7, P

Background Improved understanding of dilated cardiomyopathy (DCM) due to titin truncation (TTNtv) may help guide patient stratification. Objectives The purpose of this study was to establish relationships among TTNtv genotype, cardiac phenotype, and outcomes in DCM. Methods In this prospective, observational cohort study, DCM patients underwent clinical evaluation, late gadolinium enhancement cardiovascular magnetic resonance, TTN sequencing, and adjudicated follow-up blinded to genotype for the primary composite endpoint of cardiovascular death, and major arrhythmic and major heart failure events. Results Of 716 subjects recruited (mean age 53.5 ± 14.3 years; 469 men [65.5%]; 577 [80.6%] New York Heart Association function class I/II), 83 (11.6%) had TTNtv. Patients with TTNtv were younger at enrollment (49.0 years vs. 54.1 years; p = 0.002) and had lower indexed left ventricular mass (5.1 g/m2 reduction; padjusted = 0.03) compared with patients without TTNtv. There was no difference in biventricular ejection fraction between TTNtv+/− groups. Overall, 78 of 604 patients (12.9%) met the primary endpoint (median follow-up 3.9 years; interquartile range: 2.0 to 5.8 years), including 9 of 71 patients with TTNtv (12.7%) and 69 of 533 (12.9%) without. There was no difference in the composite primary outcome of cardiovascular death, heart failure, or arrhythmic events, for patients with or without TTNtv (hazard ratio adjusted for primary endpoint: 0.92 [95% confidence interval: 0.45 to 1.87]; p = 0.82). Conclusions In this large, prospective, genotype-phenotype study of ambulatory DCM patients, we show that prognostic factors for all-cause DCM also predict outcome in TTNtv DCM, and that TTNtv DCM does not appear to be associated with worse medium-term prognosis.

International audience; Aims: Dilated cardiomyopathy (DCM) is an important cause of heart failure with a strong familial component. We performed an exome-wide array-based association study (EWAS) to assess the contribution of missense variants to sporadic DCM.Methods and results: 116,855 single nucleotide variants (SNVs) were analyzed in 2796 DCM patients and 6877 control subjects from 6 populations of European ancestry. We confirmed two previously identified associations with SNVs in BAG3 and ZBTB17 and discovered six novel DCM-associated loci (Q-value

Background—Current guidelines only recommend the use of an implantable cardioverter defibrillator (ICD) in patients with dilated cardiomyopathy (DCM) for the primary prevention of sudden cardiac death (SCD) in those with a left ventricular ejection fraction (LVEF)35%. Patients with a LVEF>35% also have low competing risks of death from non-sudden causes. Therefore, those at high-risk of SCD may gain longevity from successful ICD therapy. We investigated whether late gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR) identified patients with DCM without severe LV systolic dysfunction at high-risk of SCD. Methods—We prospectively investigated the association between mid-wall late gadolinium enhancement (LGE) and the pre-specified primary composite outcome of SCD or aborted SCD amongst consecutive referrals with DCM and a LVEF≥40% to our center between January 2000 and December 2011, who did not have a pre-existing indication for ICD implantation. Results—Of 399 patients (145 women, median age 50 years, median LVEF 50%, 25.3% with LGE) followed for a median of 4.6 years, 18 of 101 (17.8%) patients with LGE reached the pre-specified end-point, compared to 7 of 298 (2.3%) without (HR 9.2; 95% CI 3.9-21.8; p5% compared to those without LGE were 10.6 (95%CI 3.9-29.4), 4.9 (95% CI 1.3-18.9) and 11.8 (95% CI 4.3-32.3) respectively. Conclusions—Mid-wall LGE identifies a group of patients with DCM and LVEF≥40% at increased risk of SCD and low-risk of non-sudden death who may benefit from ICD implantation.

Post-mortem genetic testing (‘molecular autopsy’) of sudden arrhythmic death syndrome (SADS) cases can establish a clear molecular diagnosis in a substantial minority. This complements family evaluation. Classification of pathogenicity of genetic variants must, however, be stringent in order to avoid the over calling of variants of unknown significance as causative. Children and young adults presenting with seizures and syncope, especially when associated with stress or exercise, require thorough cardiac evaluation in order to not miss catecholaminergic polymorphic ventricular tachycardia. Molecular autopsy should not however be restricted to the young as cases over 35 years old also carry diagnostic variants.

Variants in NDUFB11, which encodes a structural component of complex I of the mitochondrial respiratory chain (MRC), were recently independently reported to cause histiocytoid cardiomyopathy (histiocytoid CM) and microphthalmia with linear skin defects syndrome (MLS syndrome). Here we report an additional case of histiocytoid CM, which carries a de novo nonsense variant in NDUFB11 (ENST00000276062.8: c.262C > T; p.[Arg88*]) identified using whole-exome sequencing (WES) of a family trio. An identical variant has been previously reported in association with MLS syndrome. The case we describe here lacked the diagnostic features of MLS syndrome, but a detailed clinical comparison of the two cases revealed significant phenotypic overlap. Heterozygous variants in HCCS (which encodes an important mitochondrially targeted protein) and COX7B, which, like NDUFB11, encodes a protein of the MRC, have also previously been identified in MLS syndrome including a case with features of both MLS syndrome and histiocytoid CM. However, a systematic review of WES data from previously published histiocytoid CM cases, alongside four additional cases presented here for the first time, did not identify any variants in these genes. We conclude that NDUFB11 variants play a role in the pathogenesis of both histiocytoid CM and MLS and that these disorders are allelic (genetically related).

Purpose To determine the relationship between pulmonary artery (PA) stiffness and both right ventricular (RV) mass and function with cardiac magnetic resonance (MR) imaging. Materials and Methods The study was approved by the local research ethics committee, and all participants gave written informed consent. Cardiac MR imaging was performed at 1.5 T in 156 healthy volunteers (63% women; age range, 19-61 years; mean age, 36.1 years). High-temporal-resolution phase-contrast imaging was performed in the main and right PAs. Pulmonary pulse wave velocity (PWV) was determined by the interval between arterial systolic upslopes. RV function was assessed with feature tracking to derive peak systolic strain and strain rate, as well as peak early-diastolic strain rate. RV volumes, ejection fraction (RVEF), and mass were measured from the cine images. The association of pulmonary PWV with RV function and mass was quantified with univariate linear regression. Interstudy repeatability was assessed with intraclass correlation. Results The repeatability coefficient for pulmonary PWV was 0.96. Increases in pulmonary PWV and RVEF were associated with increases in age (r = 0.32, P < .001 and r = 0.18, P = .025, respectively). After adjusting for age (P = .090), body surface area (P = .073), and sex (P = .005), pulmonary PWV demonstrated an independent positive association with RVEF (r = 0.34, P = .026). Significant associations were also seen with RV mass (r = 0.41, P = .004), RV radial strain (r = 0.38, P = .022), and strain rate (r = 0.35, P = .002), and independent negative associations were seen with radial (r = 0.27, P = .003), longitudinal (r = 0.40, P = .007), and circumferential (r = 0.31, P = .005) peak early-diastolic strain rate with the same covariates. Conclusion Pulmonary PWV is reliably assessed with cardiac MR imaging. In subjects with no known cardiovascular disease, increasing PA stiffness is associated with increasing age and is also moderately associated with both RV mass and function after controlling for age, body surface area, and sex. (©) RSNA, 2016 Online supplemental material is available for this article.

Background: Peripartum cardiomyopathy (PPCM) shares some clinical features with idiopathic dilated cardiomyopathy, a disorder caused by mutations in over 40 genes, including TTN, which encodes the sarcomere protein titin. Methods: We sequenced 43 genes, with variants that have been associated with dilated cardiomyopathy, in 172 women with peripartum cardiomyopathy. We compared the prevalence of different types of variant (nonsense, frameshift, and splicing) in these women with the prevalence of these variants in persons with dilated cardiomyopathy and population controls. Results: We identified 26 distinct rare truncating variants in eight genes in women with PPCM. The prevalence of truncating variants (26 in 172 [15%]) was significantly higher than in a reference population of 60,706 individuals (4.7%, P=1.3x10-7), but was similar to a cohort of 332 dilated cardiomyopathy cases (55 in 332 [17%], P=0.81). Two thirds of identified truncating variants were in TTN ([10%], P=2.7x10-10 versus 1.4% in reference population), almost all located in the titin A-band. Seven of the TTN truncating variants were previously reported in cases of idiopathic dilated cardiomyopathy. In a clinically well-characterized cohort of women with PPCM (n=83), the presence of TTN truncating variants correlated with lower ejection fraction at one-year follow-up (P=0.005). Conclusions: The distribution of truncating variants in a large series of women with PPCM is remarkably similar to that found in idiopathic dilated cardiomyopathy. TTN truncating variants are the most prevalent genetic predisposition of each disorder.

Scientists from various fields met at the Tata Institute of Fundamental Research on 2 January 2013 to discuss Alan Turing's legacy. A panel consisting of the following made initial statements around which the discussion was conducted.

Male life expectancy in Russia is extremely low for an industrialised country. Alcohol is an important contributory factor to low life expectancy and an important health determinant in Russian men. Conventional methods of measuring alcohol consumption may not fully capture distinctive aspects of Russian drinking. The aim of this PhD was to identify latent dimensions of alcohol use and to investigate their socio-demographic correlates and their effects on health and employment among working-age men (aged 25-60) in Izhevsk, Russia. The data used were from the Izhevsk Family Studies (IFS -1 and IFS-2). IFS-1 included a cross-sectional survey of 1941 working-age men resident in Izhevsk (2003-6). Controls were followed up at IFS-2 (2008-10).Three latent dimensions of beverage alcohol intake (beer, wine and spirit intake) were constructed from questionnaire responses on frequency, usual volume and maximum volume of each beverage and one latent dimension of acute alcohol-related dysfunction from responses on frequency of hangover, excessive drunkenness, sleeping in clothes because of drunkenness and failing family or personal obligations because of drinking. The relationship between these latent dimensions of alcohol use, socio-demographic factors, employment and cardiovascular risk factors were investigated using structural equation modelling. The latent factors of beverage alcohol intake were strong predictors of alcohol-related dysfunction, with spirit intake being the most influential. Alcohol-related dysfunction showed a strong association with education which was only partly explained by beverage alcohol intake and other observed aspects of alcohol consumption. Alcohol-related dysfunction was a strong predictor of employment status and an important mediator of the relationship between alcohol intake and employment. All four latent variables showed similar associations with serum lipids. Beer intake, spirit intake and alcohol-related dysfunction were strongly associated with hypertension. Hazardous alcohol consumption in Russian men strongly influenced employment status and cardiovascular risk factors. A latent variable approach to measuring alcohol use particularly acute alcohol-related dysfunction provided information of the relationship between alcohol, health and socio-economic circumstances in Russian men beyond that obtained using more conventional observed measures such as total volume of ethanol.

Cardiovascular magnetic resonance (CMR) is the gold standard non-invasive method for determining left ventricular (LV) mass and volume but has not been used previously to characterise the LV remodeling response in aortic stenosis. We sought to investigate the degree and patterns of hypertrophy in aortic stenosis using CMR.