Publications by authors named "Christopher J O Donnell"

Background: Patients with post-traumatic stress disorder (PTSD) experience higher risk of adverse cardiovascular (CV) outcomes. This study explores shared loci, and genes between PTSD and CV conditions from three major domains: CV diagnoses from electronic health records (CV-EHR), cardiac and aortic imaging, and CV health behaviors defined in Life's Essential 8 (LE8).

Methods: We used genome-wide association study (GWAS) of PTSD (N=1,222,882), 246 CV diagnoses based on EHR data from Million Veteran Program (MVP; N=458,061), UK Biobank (UKBB; N=420,531), 82 cardiac and aortic imaging traits (N=26,893), and GWAS of traits defined in the LE8 (N = 282,271 ~ 1,320,016).

View Article and Find Full Text PDF

Background: Growth Differentiation Factor 15 (GDF15), a divergent member of the TGF-β superfamily, signals via the hindbrain glial-derived neurotrophic factor receptor alpha-like and rearranged during transfection receptor co-receptor (GFRAL-RET) complex. In nonclinical species, GDF15 is a potent anorexigen leading to substantial weight loss. MBL949 is a half-life extended recombinant human GDF15 dimer.

View Article and Find Full Text PDF
Article Synopsis
  • Human genetic studies often lack diversity, which limits understanding of disease causes and health disparities.
  • The Department of Veterans Affairs Million Veteran Program analyzed data from a diverse group of 635,969 veterans, revealing 13,672 genomic risk loci, with significant findings particularly from non-European populations.
  • The research identified causal variants across 613 traits, showing that genetic similarities exist across populations and emphasizing the importance of including underrepresented groups in genetic research.
View Article and Find Full Text PDF
Article Synopsis
  • Researchers studied serum levels of 4123 proteins in 1117 patients with heart failure with preserved ejection fraction (HFpEF) to identify prognostic markers linked to clinical outcomes.
  • A total of 288 proteins were found to be significantly associated with heart failure hospitalization and cardiovascular death, with specific proteins like B2M and TIMP1 showing strong correlations.
  • The study concluded that the protein markers for HFpEF are similar to those for heart failure with reduced ejection fraction, implying that the derived proteomic risk scores do not offer improved predictive power for HFpEF patients.
View Article and Find Full Text PDF

Herein, we describe the design and synthesis of γ-secretase modulator (GSM) clinical candidate PF-06648671 () for the treatment of Alzheimer's disease. A key component of the design involved a 2,5--tetrahydrofuran (THF) linker to impart conformational rigidity and lock the compound into a putative bioactive conformation. This effort was guided using a pharmacophore model since crystallographic information was not available for the membrane-bound γ-secretase protein complex at the time of this work.

View Article and Find Full Text PDF
Article Synopsis
  • Coronary artery calcification (CAC) is linked to heart disease and assessed through a genome-wide association study (GWAS) involving 22,400 participants from various backgrounds.
  • The study confirmed connections with four known genetic loci and discovered two new loci related to CAC, with supportive replication findings for both.
  • Functional tests suggest that ARSE promotes calcification in vascular smooth muscle cells and its variants may influence CAC levels, identifying ARSE as a key target for potential treatments in vascular calcific diseases.
View Article and Find Full Text PDF
Article Synopsis
  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
View Article and Find Full Text PDF
Article Synopsis
  • A study was conducted to develop a polygenic risk score (PRS) specifically for aortic stenosis and compare its effectiveness against traditional clinical risk factors.
  • This research involved analyzing data from large cohorts, including over 135,000 participants from the Million Veteran Program and various clinical trials between 2011 and 2020.
  • The findings indicated that the new aortic stenosis PRS, which utilized millions of genetic variants, may provide significant risk estimation for the condition compared to established clinical methods.
View Article and Find Full Text PDF

Background: High circulating levels of Lp(a) (lipoprotein[a]) increase the risk of atherosclerosis and calcific aortic valve disease, affecting millions of patients worldwide. Although atherosclerosis is commonly treated with low-density lipoprotein-targeting therapies, these do not reduce Lp(a) or risk of calcific aortic valve disease, which has no available drug therapies. Targeting Lp(a) production and catabolism may provide therapeutic benefit, but little is known about Lp(a) cellular uptake.

View Article and Find Full Text PDF

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population.

View Article and Find Full Text PDF

While lipid traits are known essential mediators of cardiovascular disease, few approaches have taken advantage of their shared genetic effects. We apply a Bayesian multivariate size estimator, mash, to GWAS of four lipid traits in the Million Veterans Program (MVP) and provide posterior mean and local false sign rates for all effects. These estimates borrow information across traits to improve effect size accuracy.

View Article and Find Full Text PDF
Article Synopsis
  • Obesity poses a significant public health challenge and is linked to high mortality rates, with prior studies focusing mostly on European populations.
  • This research utilized whole-genome sequencing data from a diverse group of 88,873 individuals, finding 18 new signals associated with body mass index (BMI) and highlighting a novel SNP prevalent among people of African descent.
  • The study emphasizes the importance of diverse genetic data in identifying new obesity-related variants, moving us closer to personalized medical interventions for this crisis.
View Article and Find Full Text PDF
Article Synopsis
  • This study examines the relationship between resting heart rate and cardiovascular diseases, identifying 493 genetic variants linked to this trait through a large-scale analysis of 835,465 individuals.
  • It highlights the significance of higher genetically predicted resting heart rates, which are associated with an increased risk of dilated cardiomyopathy but lower risk for conditions like atrial fibrillation and ischemic strokes.
  • The study also challenges previous findings on resting heart rate and all-cause mortality, suggesting earlier results may have been influenced by biases, ultimately enhancing our understanding of the biological implications of resting heart rate in cardiovascular health.
View Article and Find Full Text PDF

Each year, new drugs are introduced to the market, representing structures that have affinity for biological targets implicated in human diseases and conditions. These new chemical entities (NCEs), particularly small molecules and antibody-drug conjugates, provide insight into molecular recognition and serve as potential leads for the design of future medicines. This annual review is part of a continuing series highlighting the most likely process-scale synthetic approaches to 35 NCEs that were first approved anywhere in the world during 2021.

View Article and Find Full Text PDF

Genome-wide association studies (GWAS) have underrepresented individuals from non-European populations, impeding progress in characterizing the genetic architecture and consequences of health and disease traits. To address this, we present a population-stratified phenome-wide GWAS followed by a multi-population meta-analysis for 2,068 traits derived from electronic health records of 635,969 participants in the Million Veteran Program (MVP), a longitudinal cohort study of diverse U.S.

View Article and Find Full Text PDF

Aims: To evaluate the prevalence of pathogenic variants in genes associated with dilated cardiomyopathy (DCM) in a clinical trial population with heart failure and reduced ejection fraction (HFrEF) and describe the baseline characteristics by variant carrier status.

Methods And Results: This was a post hoc analysis of the Phase 3 PARADIGM-HF trial. Forty-four genes, divided into three tiers, based on definitive, moderate or limited evidence of association with DCM, were assessed for rare predicted loss-of-function (pLoF) variants, which were prioritized using ClinVar annotations, measures of gene transcriptional output and evolutionary constraint, and pLoF confidence predictions.

View Article and Find Full Text PDF
Article Synopsis
  • The study analyzes whether genome-wide polygenic risk scores (PRSs) for coronary artery disease (CAD) and acute ischemic stroke can enhance risk prediction for atherosclerotic cardiovascular disease (ASCVD) in a diverse midlife population.
  • Conducted using data from the Million Veteran Program, the research involved 79,151 participants who were free of ASCVD at the start of the study, examining various traditional clinical risk factors alongside genetic data over an average follow-up of 4.3 years.
  • Results indicated that CAD PRS had a significant association with nonfatal myocardial infarction among non-Hispanic Black individuals, along with recorded cases of ischemic strokes, ASCVD deaths, and composite ASCVD events throughout the
View Article and Find Full Text PDF
Article Synopsis
  • The study aims to uncover new genetic factors linked to calcific aortic stenosis (AS) and identify mechanisms through functional and expression data integration.
  • A large genome-wide meta-analysis involving over 653,000 European participants found 17 significant genetic loci associated with AS, with further support for their involvement from independent cohorts.
  • Findings highlight the roles of dyslipidemia, inflammation, calcification, and obesity in AS development, suggesting potential new strategies for treatment and prevention.
View Article and Find Full Text PDF

Background: Calcific aortic stenosis (CAS) is the most common valvular heart disease in older adults and has no effective preventive therapies. Genome-wide association studies (GWAS) can identify genes influencing disease and may help prioritize therapeutic targets for CAS.

Methods: We performed a GWAS and gene association study of 14 451 patients with CAS and 398 544 controls in the Million Veteran Program.

View Article and Find Full Text PDF

Study Objective: Aortic arch geometry changes with age, including an increase in aortic arch width (AAW). High AAW is a predictor of incident adverse cardiovascular disease (CVD) events, but its distribution and determinants are unknown. We hypothesized that traditional CVD risk factors, in addition to age, are associated with increased AAW in community-dwelling adults.

View Article and Find Full Text PDF
Article Synopsis
  • Population isolates like Finland provide a unique advantage for genetic research by having concentrated deleterious alleles in low-frequency variants due to historical bottlenecks.
  • The FinnGen study aims to analyze data from 500,000 Finnish individuals, focusing on their genomes and health records, particularly as many participants are older and have disease-related data.
  • From the analysis of 224,737 participants and additional biobank data, researchers discovered 30 new associations and a total of 2,733 significant genetic links across various diseases, highlighting the importance of low-frequency variants in understanding common diseases.
View Article and Find Full Text PDF

Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.

View Article and Find Full Text PDF

Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.

Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches.

View Article and Find Full Text PDF