Abstract 232: A Genome-wide Association of Murine Echocardiographic Measures Implicates Muscle A-type Lamin-interacting Protein (MLIP) in Isoproterenol-induced Interventricular Septal Hypertrophy

2013 ◽  
Vol 113 (suppl_1) ◽  
Author(s):  
Jessica J Wang ◽  
Christoph Rau ◽  
Shuxun Ren ◽  
Marie-Elodie Cattin ◽  
Patrick G Burgon ◽  
...  
Keyword(s):  
Heart Failure ◽  
Left Ventricular ◽  
Genome Wide Association ◽  
Population Substructure ◽  
Genome Wide Association Studies ◽  
Interacting Protein ◽  
Genome Wide ◽  
A Genome ◽  
Study Results ◽  
Septal Hypertrophy

Genome-wide association studies of heart failure in humans have yielded limited results, largely due to highly heterogeneous environmental and genetic backgrounds. The Hybrid Mouse Diversity Panel consists of inbred strains that are either fully sequenced or densely genotyped and as a whole displays significant natural variations. We assessed the hypothesis that precise environmental control, a well-defined genetic background, and a careful and uniform phenotyping scheme enable high-resolution mapping of cardiac remodeling in an isoproterenol-induced heart failure mouse model. Eight to ten-week old females from 105 inbred mouse strains (average N per strain = 6.7) were divided into control (average N per strain = 2.5) and treated (average N per strain =4.1) cohorts. Treated mice received 20 μg/g/day of isoproterenol through an abdominally implanted Alzet micropump for 3 weeks. All mice underwent echocardiography at baseline and at weekly time points. Phenotypic data were analyzed using the Efficient Mixed-Model Association (EMMA) algorithm to correct for population substructure. Our study showed that chronic isoproterenol administration resulted in marked inter-strain variations in echocardiographic measurements across the mouse panel. EMMA analysis of the data revealed many significant association peaks across echocardiographic measures. The most significant association signal is in the change of diastolic interventricular septal wall thickness between baseline and 1 week after isoproterenol treatment, a marker of early isoproterenol-induced left ventricular hypertrophy. The peak SNP rs13480288 (p-value of 4.0580e-09) and its surrounding SNPs (within correlation r2 > 0.8) span across 3 genes. Of these, Mlip alone harbors a missence variant and a splice-site variant across our panel. Mlip, also known as muscle A-type lamin-interacting protein, is expressed abundantly in the heart and interacts directly with A-type lamins in the nuclear envelope. Mutations in A-type lamins have been shown to cause both hypertrophic and dilated cardiomyopathy. In conclusion, our study results provide strong evidence that genetic variations in Mlip contribute to differential responses in interverntricular septal hypertrophy to isoproterenol.

scholarly journals Genome-wide association and multi-omic analyses reveal new mechanisms for Heart Failure

2019 ◽  
Author(s):  
Marios Arvanitis ◽  
Yanxiao Zhang ◽  
Wei Wang ◽  
Adam Auton ◽  
Ali Keramati ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Muscle ◽  
Association Studies ◽  
Meta Analysis ◽  
Regulatory Region ◽  
Causal Variant ◽  
Left Ventricular ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractHeart failure is a major medical and economic burden in the healthcare system affecting over 23 million people worldwide. Although recent pedigree studies estimate heart failure heritability around 26%, genome-wide association studies (GWAS) have had limited success in explaining disease pathogenesis. We conducted the largest meta-analysis of heart failure GWAS to-date and replicated our findings in a comparable sized cohort to identify one known and two novel variants associated with heart failure. Leveraging heart failure sub-phenotyping and fine-mapping, we reveal a putative causal variant found in a cardiac muscle specific regulatory region that binds to the ACTN2 cardiac sarcolemmal gene and affects left ventricular adverse remodeling and clinical heart failure in response to different initial cardiac muscle insults. Via genetic correlation, we show evidence of broadly shared heritability between heart failure and multiple musculoskeletal traits. Our findings extend our understanding of biological mechanisms underlying heart failure.

scholarly journals Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Sonia Shah ◽  
◽  
Albert Henry ◽  
Carolina Roselli ◽  
Honghuang Lin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiac Development ◽  
Association Studies ◽  
Meta Analysis ◽  
Left Ventricular ◽  
Genome Wide Association ◽  
Mendelian Randomisation ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractHeart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

scholarly journals Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure

2019 ◽  
Author(s):  
Sonia Shah ◽  
Albert Henry ◽  
Carolina Roselli ◽  
Honghuang Lin ◽  
Garðar Sveinbjörnsson ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Meta Analysis ◽  
Left Ventricular ◽  
Genome Wide Association ◽  
Mendelian Randomisation ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractHeart failure (HF) is a leading cause of morbidity and mortality worldwide1. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained2–4. We report the largest GWAS meta-analysis of HF to-date, comprising 47,309 cases and 930,014 controls. We identify 12 independent variant associations with HF at 11 genomic loci, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function suggesting shared genetic aetiology. Expression quantitative trait analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homeostasis (BAG3), and cellular senescence (CDKN1A). Using Mendelian randomisation analysis we provide new evidence supporting previously equivocal causal roles for several HF risk factors identified in observational studies, and demonstrate CAD-independent effects for atrial fibrillation, body mass index, hypertension and triglycerides. These findings extend our knowledge of the genes and pathways underlying HF and may inform the development of new therapeutic approaches.

scholarly journals Genetic components of human pain sensitivity: a protocol for a genome-wide association study of experimental pain in healthy volunteers

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e025530 ◽  
Author(s):  
Annina B Schmid ◽  
Kaustubh Adhikari ◽  
Luis Miguel Ramirez-Aristeguieta ◽  
Juan-Camilo Chacón-Duque ◽  
Giovanni Poletti ◽  
...  
Keyword(s):  
Latin American ◽  
Pain Sensitivity ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Healthy Individuals ◽  
Genetic Components ◽  
Genome Wide ◽  
A Genome ◽  
The University ◽  
Genetic Contributions

IntroductionPain constitutes a major component of the global burden of diseases. Recent studies suggest a strong genetic contribution to pain susceptibility and severity. Whereas most of the available evidence relies on candidate gene association or linkage studies, research on the genetic basis of pain sensitivity using genome-wide association studies (GWAS) is still in its infancy. This protocol describes a proposed GWAS on genetic contributions to baseline pain sensitivity and nociceptive sensitisation in a sample of unrelated healthy individuals of mixed Latin American ancestry.Methods and analysisA GWAS on genetic contributions to pain sensitivity in the naïve state and following nociceptive sensitisation will be conducted in unrelated healthy individuals of mixed ancestry. Mechanical and thermal pain sensitivity will be evaluated with a battery of quantitative sensory tests evaluating pain thresholds. In addition, variation in mechanical and thermal sensitisation following topical application of mustard oil to the skin will be evaluated.Ethics and disseminationThis study received ethical approval from the University College London research ethics committee (3352/001) and from the bioethics committee of the Odontology Faculty at the University of Antioquia (CONCEPTO 01–2013). Findings will be disseminated to commissioners, clinicians and service users via papers and presentations at international conferences.

Abstract P359: A Sickle Cell Variant Associates With Urine Albumin Excretion in Genome Wide Association Study of Hispanics: The HCHS/SOL Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Nora Franceschini ◽  
Adrienne Stilp ◽  
Christina L Wassel ◽  
Holly J Mattix-Kramer ◽  
Michael F Flessner ◽  
...  
Keyword(s):  
Allele Frequency ◽  
Sickle Cell ◽  
Missense Variant ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Minority Population ◽  
Genome Wide Association Studies ◽  
Urine Albumin ◽  
Genome Wide ◽  
A Genome

Introduction: Genome wide association studies have identified genetic variants in the Cubillin gene ( CUBN ) that explain inter-individual variation in urine albumin-to-creatinine excretion (UACR) in populations. These studies have not included Hispanics/Latinos, the fast growing minority population in the U.S., who has also high prevalence of chronic kidney disease and its risk factors. Hypothesis: By leveraging on population admixture of Hispanics and using a genome wide association approach, we hypothesized that novel loci associated with UACR would be identified. Methods: We used data from 12,212 self-identified Hispanic individuals recruited in a community-based study, aged 18-74 years at screening (2008-2011), and randomly selected from households in four U.S. field centers (Chicago, IL; Miami, FL; Bronx, NY; San Diego, CA). Urine albumin (mg/dl) and creatinine (g/dl) were measured at the baseline exam. UACR was log-transformed for analysis. Individuals were excluded if reporting to have end-stage renal disease. Genotyping was performed using a custom Illumina Omni2.5M array. Imputation of variants was performed using 1000 Genome Project data from cosmopolitan HapMap samples. After quality control of imputed data, we performed mixed linear regression analyses that accounted for the sampling strategy and family relatedness, for variants with minor allele frequency (MAF) > 0.01 and imputation quality > 0.3. We used additive genetic models and adjusted for age, sex, and principal components which were estimated from the data. In a secondary analysis, we also examine the association of significant variants with kidney function using estimated glomerular filtration rate (eGFR) equations. Results: Among 12,212 participants, 41% were men, and mean age was 46 (SD =13). There was little evidence for genome wide inflation (lambda =1.024). We identified significant associations of single nucleotide polymorphisms (SNPs) with UACR at two loci: CUBN and HBB . The CUBN SNP (chr10:16966414, p=2.1x10-8) is an indel variant with MAF of 0.14, which was not in linkage disequilibrium with previously reported SNP rs1801239 (rsq=0.38, p=1.3x10-4) identified in individuals of European ancestry. The HBB SNP is a missense variant which results in an E [Glu] ⇒ A [Ala] substitution in the beta-globin chain of hemoglobin and a cause of the Mendelian disorder sickle cell anemia (rs334, T allele frequency =0.01, beta=0.44, SE=0.06, p=7.6x10-12). rs344 was not associated with eGFR in our data (p>0.05). Conclusion: This study identified a novel association of a sickle cell missense variant with UACR in Hispanics, and provided evidence for allelic heterogeneity at the CUBN locus. Our findings suggest a role for Mendelian gene variants in increased albuminuria in Hispanic populations with admixture.

Abstract 16003: Genetic Variation Associated With Favorable Exercise Response in Patients With Systolic Heart Failure: A Hf-action Trial Substudy

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Sara Coles ◽  
Stephanie Giamberardino ◽  
Carol Haynes ◽  
Ruicong She ◽  
Hongsheng Gui ◽  
...  
Keyword(s):  
Heart Failure ◽  
Clinical Trial ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
Systolic Heart Failure ◽  
Genome Wide Association ◽  
Supervised Exercise ◽  
Genome Wide ◽  
A Genome ◽  
Response To Exercise

Background: Exercise has shown benefit in patients with systolic heart failure, including in the clinical trial Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training (HF-ACTION). There is heterogeneity in who derives benefit from exercise, and the biologic mechanisms of favorable response to exercise in systolic heart failure are not well understood. Hypothesis: Genetic variation is an underlying factor influencing heterogeneity in response to exercise in patients with systolic heart failure. Methods: The HF-ACTION trial randomized individuals with systolic heart failure (left ventricular ejection fraction <35%) to supervised exercise versus usual care. In this study, we performed a genome wide association study (GWAS) in the HF-ACTION biorepository using the Axiom Biobank1 genotyping array (13,403,591 single nucleotide polymorphisms [SNPs] after quality control on directly genotyped and 1000 genomes imputed data), in N=377 study subjects who completed the supervised exercise arm. Using change in peak VO2 as our outcome, we ran within-ancestry GWASes, modeling SNP effects as both additive and dominant, and conducted across-ancestry meta-analysis within each genetic model. Results: Five loci met genome-wide significance in the European ancestry analyses, 5 loci in the African ancestry, and 8 in the meta-analyses. The two most significantly associated loci across both additive and dominant meta-analysis models were rs111577308 located in the histone acetylation for transcription elongator complex 3 gene ( ELP3, p=1.212x10 -9 ) and rs75444785 located in the phosphodiesterase 4D gene ( PDE4D , p=1.565x10 -9 ). ELP3 is responsible for histone modifications related to DNA transcription factor complexes, and PDE4D is involved in cyclic AMP cell signaling. In silico analysis of these loci showed that they are in linkage with regions associated with skeletal muscle and peripheral vascular disease phenotypes. Conclusions: Using a genome-wide association study in a well-phenotyped clinical trial of exercise in systolic heart failure, we found common genetic variants in genes involved in DNA transcription histone modification and cyclic AMP cell signaling that are associated with a more favorable response to exercise.

scholarly journals Prioritization of genes associated with the pathogenesis of leukosis in cattle

2019 ◽  
Vol 22 (8) ◽  
pp. 1063-1069 ◽  
Author(s):  
N. S. Yudin ◽  
N. L. Podkolodnyy ◽  
T. A. Agarkova ◽  
E. V. Ignatieva
Keyword(s):  
Protein Interactions ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Mammalian Species ◽  
Genome Wide Association ◽  
Farm Animals ◽  
Genome Wide Association Studies ◽  
Protein Protein Interactions ◽  
Genome Wide ◽  
A Genome

Selection by means of genetic markers is a promising approach to the eradication of infectious diseases in farm animals, especially in the absence of effective methods of treatment and prevention. Bovine leukemia virus (BLV) is spread throughout the world and represents one of the biggest problems for the livestock production and food security in Russia. However, recent genome-wide association studies have shown that sensitivity/resistance to BLV is polygenic. The aim of this study was to create a catalog of cattle genes and genes of other mammalian species involved in the pathogenesis of BLV-induced infection and to perform gene prioritization using bioinformatics methods. Based on manually collected information from a range of open sources, a total of 446 genes were included in the catalog of cattle genes and genes of other mammals involved in the pathogenesis of BLV-induced infection. The following criteria were used to prioritize 446 genes from the catalog: (1) the gene is associated with leukemia according to a genome-wide association study; (2) the gene is associated with leukemia according to a case-control study; (3) the role of the gene in leukemia development has been studied using knockout mice; (4) protein-protein interactions exist between the gene-encoded protein and either viral particles or individual viral proteins; (5) the gene is annotated with Gene Ontology terms that are overrepresented for a given list of genes; (6) the gene participates in biological pathways from the KEGG or REACTOME databases, which are over-represented for a given list of genes; (7) the protein encoded by the gene has a high number of protein-protein interactions with proteins encoded by other genes from the catalog. Based on each criterion, a rank was assigned to each gene. Then the ranks were summarized and an overall rank was determined. Prioritization of 446 candidate genes allowed us to identify 5 genes of interest (TNF,LTB,BOLA-DQA1,BOLA-DRB3,ATF2), which can affect the sensitivity/resistance of cattle to leukemia.

scholarly journals Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

2018 ◽  
Vol 28 (1) ◽  
pp. 166-174 ◽  
Author(s):  
Sara L Pulit ◽  
Charli Stoneman ◽  
Andrew P Morris ◽  
Andrew R Wood ◽  
Craig A Glastonbury ◽  
...  
Keyword(s):  
Body Fat ◽  
Association Studies ◽  
Meta Analysis ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
A Genome

Abstract More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.

Abstract 439: Trajectory Analysis of Left Ventricular Dimensions From Biobank Data Uncovers Novel Genetic Associations

2020 ◽  
Vol 127 (Suppl_1) ◽  
Author(s):  
Tess Pottinger ◽  
Megan J Puckelwartz ◽  
Lorenzo L Pesce ◽  
Anthony Gacita ◽  
Isabella Salamone ◽  
...  
Keyword(s):  
Heart Failure ◽  
Longitudinal Data ◽  
Association Studies ◽  
The United States ◽  
Left Ventricular ◽  
Genome Wide Association Studies ◽  
Qtc Interval ◽  
Regulatory Regions ◽  
Genome Wide ◽  
Over Time

Background: Approximately 6 million adults in the United States have heart failure. The progression of heart failure is variable arising from differences in sex, age, genetic background including ancestry, and medication response. Many population-based genetic studies of heart failure have been cross-sectional in nature, failing to gain additional power from longitudinal analyses. As heart failure is known to change over time, using longitudinal data trajectories as a quantitative trait will increase power in genome wide association studies (GWAS). Methods: We used the electronic health record in a racially and ethnically diverse medical biobank from a single, metropolitan US center. We used whole genome data from 896 unrelated participants analyzed, including 494 who had at least 1 electrocardiogram and 324 who had more than 1 echocardiogram (average of 3 observations per person). A mixture model based semiparametric latent growth curve model was used to cluster outcome measures used for genome-wide analyses. Results: GWAS on the trajectory probability of QTc interval identified significant associations with variants in regulatory regions proximal to the WLS gene, which encodes Wntless, a Wnt ligand secretion mediator. WLS was previously associated with QTc and myocardial infarction, thus confirming the power of the method. GWAS on the trajectory probability of left ventricular diameter (LVIDd) identified significant associations with variants in regulatory regions near MYO10 , which encodes unconventional Myosin-10. MYO10 was previously associated with obesity and metabolic syndrome. Conclusions: This is the first study to show an association with variants in or near MYO10 and left ventricular dimension changes over time. Further, we found that using trajectory probabilities can provide increased power to find novel associations with longitudinal data. This reduces the need for larger cohorts, and increases yield from smaller, well-phenotyped cohorts, such as those found in biobanks. This approach should be useful in the study of rare diseases and underrepresented populations.

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