Publications by authors named "Frederick E Dewey"

Article Synopsis
  • The study identifies a new variant in the WTIP gene associated with hypertrophic cardiomyopathy (HCM), suggesting its role in cardiac hypertrophy mechanisms.
  • Utilizing exome sequencing and other analyses, researchers found that knocking down WTIP in rat heart cells led to increased hypertrophy and altered calcium dynamics, which also appeared in patient-derived cells with the same genetic variant.
  • These findings highlight WTIP's critical involvement in cardiac health, showing that disruptions in its function can lead to significant heart conditions, particularly regarding calcium balance in heart cells.
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  • Truncating variants in the Titin gene (TTNtvs) are linked to idiopathic dilated cardiomyopathy (DCM) but their effects across different ancestries and clinical contexts have not been fully explored.
  • The study analyzed genetic data from over 71,000 individuals, identifying those with TTNtvs, particularly in heart-expressed regions, and assessed their health records for DCM-related outcomes.
  • The findings revealed that TTNtvs significantly increased the risk of DCM in individuals of European ancestry, but had a negligible association in those of African ancestry, pointing to the influence of genetic background on disease risk profiles.
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Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.

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Background Familial hypobetalipoproteinemia is a genetic disorder caused by rare protein-truncating variants (PTV) in the gene encoding APOB (apolipoprotein B), the major protein component of LDL (low-density lipoprotein) and triglyceride-rich lipoprotein particles. Whether heterozygous APOB deficiency is associated with decreased risk for coronary heart disease (CHD) is uncertain. We combined family-based and large scale gene-sequencing to characterize the association of rare PTVs in APOB with circulating LDL-C (LDL cholesterol), triglycerides, and risk for CHD.

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  • The study focuses on identifying disease-causing variants in the BRCA1 and BRCA2 genes within a large research group to aid in cancer prevention and diagnosis.
  • Conducted on over 50,000 adult volunteers, it utilized exome sequencing to assess the prevalence of these variants and their impact on personal and family cancer history.
  • Results showed that only 0.5% were BRCA1/2 carriers, with a significant portion of these individuals having no previous clinical testing for their variants.
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Importance: Atrial fibrillation (AF) is the most common arrhythmia affecting 1% of the population. Young individuals with AF have a strong genetic association with the disease, but the mechanisms remain incompletely understood.

Objective: To perform large-scale whole-genome sequencing to identify genetic variants related to AF.

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Background: In pulmonary arterial hypertension (PAH), pathological changes in pulmonary arterioles progressively raise pulmonary artery pressure and increase pulmonary vascular resistance, leading to right heart failure and high mortality rates. Recently, the first potassium channelopathy in PAH, because of mutations in KCNK3, was identified as a genetic cause and pharmacological target.

Methods: Exome sequencing was performed to identify novel genes in a cohort of 99 pediatric and 134 adult-onset group I PAH patients.

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  • A correction to the article has been published.
  • The correction can be accessed through the HTML and PDF versions.
  • However, the original error in the paper remains unresolved.
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The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up.

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To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5), or near genes important for striated muscle function and integrity (for example, CFL2, MYH7, PKP2, RBM20, SGCG, SSPN).

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Background: Pulmonary arterial hypertension (PAH) is a rare disease characterized by distinctive changes in pulmonary arterioles that lead to progressive pulmonary arterial pressures, right-sided heart failure, and a high mortality rate. Up to 30% of adult and 75% of pediatric PAH cases are associated with congenital heart disease (PAH-CHD), and the underlying etiology is largely unknown. There are no known major risk genes for PAH-CHD.

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Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls.

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Large-scale human genetics studies are ascertaining increasing proportions of populations as they continue growing in both number and scale. As a result, the amount of cryptic relatedness within these study cohorts is growing rapidly and has significant implications on downstream analyses. We demonstrate this growth empirically among the first 92,455 exomes from the DiscovEHR cohort and, via a custom simulation framework we developed called SimProgeny, show that these measures are in line with expectations given the underlying population and ascertainment approach.

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Background: Elucidation of the genetic factors underlying chronic liver disease may reveal new therapeutic targets.

Methods: We used exome sequence data and electronic health records from 46,544 participants in the DiscovEHR human genetics study to identify genetic variants associated with serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Variants that were replicated in three additional cohorts (12,527 persons) were evaluated for association with clinical diagnoses of chronic liver disease in DiscovEHR study participants and two independent cohorts (total of 37,173 persons) and with histopathological severity of liver disease in 2391 human liver samples.

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Article Synopsis
  • The DrugBank database includes about 800 well-characterized genes that serve as important drug targets, useful for exploring genetic associations with diseases.
  • A novel Gene-based Phenome Wide Association Study (PheWAS) was conducted using whole exome sequencing data from over 38,000 samples to assess how rare genetic variants in these DrugBank genes relate to various health traits.
  • The study found multiple new associations primarily linked to functionally annotated variations, highlighting the potential of these genetic variants to inform drug usage and disease understanding.
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Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for stroke, heart failure, and premature death. The pathogenesis of AF remains poorly understood, which contributes to the current lack of highly effective treatments. To understand the genetic variation and biology underlying AF, we undertook a genome-wide association study (GWAS) of 6,337 AF individuals and 61,607 AF-free individuals from Norway, including replication in an additional 30,679 AF individuals and 278,895 AF-free individuals.

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PurposeThe clinical utility of screening unselected individuals for pathogenic BRCA1/2 variants has not been established. Data on cancer risk management behaviors and diagnoses of BRCA1/2-associated cancers can help inform assessments of clinical utility.MethodsWhole-exome sequences of participants in the MyCode Community Health Initiative were reviewed for pathogenic/likely pathogenic BRCA1/2 variants.

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As the impact of genetics, genomics, and bioinformatics on drug discovery has been increasingly recognized, this session of the 2018 Pacific Symposium on Biocomputing (PSB) aims to facilitate scientific discussions between academia and pharmaceutical industry on how to best apply genetics, genomics and bioinformatics to enable drug discovery. The selected papers focus on developing and applying computational approaches to understand drug mechanisms of action and develop drug combination strategies, to enable in silico drug screening, and to further delineate disease pathways for target identification and validation.

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Nonsynonymous single nucleotide variants (nsSNVs) constitute about 50% of known disease-causing mutations and understanding their functional impact is an area of active research. Existing algorithms predict pathogenicity of nsSNVs; however, they are unable to differentiate heterozygous, dominant disease-causing variants from heterozygous carrier variants that lead to disease only in the homozygous state. Here, we present MAPPIN (Method for Annotating, Predicting Pathogenicity, and mode of Inheritance for Nonsynonymous variants), a prediction method which utilizes a random forest algorithm to distinguish between nsSNVs with dominant, recessive, and benign effects.

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PurposeWe integrated whole-exome sequencing (WES) and chromosomal microarray analysis (CMA) into a clinical workflow to serve an endogamous, uninsured, agrarian community.MethodsSeventy-nine probands (newborn to 49.8 years) who presented between 1998 and 2015 remained undiagnosed after biochemical and molecular investigations.

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Background: Loss-of-function variants in the angiopoietin-like 3 gene (ANGPTL3) have been associated with decreased plasma levels of triglycerides, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol. It is not known whether such variants or therapeutic antagonism of ANGPTL3 are associated with a reduced risk of atherosclerotic cardiovascular disease.

Methods: We sequenced the exons of ANGPTL3 in 58,335 participants in the DiscovEHR human genetics study.

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Rationale: Therapies that inhibit CETP (cholesteryl ester transfer protein) have failed to demonstrate a reduction in risk for coronary heart disease (CHD). Human DNA sequence variants that truncate the gene may provide insight into the efficacy of CETP inhibition.

Objective: To test whether protein-truncating variants (PTVs) at the gene were associated with plasma lipid levels and CHD.

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Article Synopsis
  • ARVC is a genetic heart disease, and researchers aimed to assess the prevalence of related findings in genes associated with it through exome sequencing of over 30,000 individuals.
  • The study found that subjects with pathogenic loss-of-function (pLOF) variants and variants of uncertain significance (VUS) did not have a formal diagnosis of ARVC in their electronic health records (EHR).
  • Overall, the results indicate that pLOF variants and VUS were not linked to ARVC-related health issues among the cohort, raising questions about the reliability of EHR reviews in predicting ARVC.
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  • * It involved analyzing genetic data from multiple cohorts to identify both rare damaging mutations and common variants associated with lipid levels and CAD risk.
  • * Results show that a small percentage of individuals carried damaging mutations in LPL, and these carriers had higher triglyceride levels compared to noncarriers.
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