Publications by authors named "Alex P Reiner"

Black adults have higher incidence of all-cause mortality and worse cardiovascular disease (CVD) outcomes when compared to other U.S. populations.

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BACKGROUNDMost GWAS of plasma proteomics have focused on White individuals of European ancestry, limiting biological insight from other ancestry-enriched protein quantitative loci (pQTL).METHODSWe conducted a discovery GWAS of approximately 3,000 plasma proteins measured by the antibody-based Olink platform in 1,054 Black adults from the Jackson Heart Study (JHS) and validated our findings in the Multi-Ethnic Study of Atherosclerosis (MESA). The genetic architecture of identified pQTLs was further explored through fine mapping and admixture association analysis.

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Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood.

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Background: A common genetic variant of ICAM1 among African-American individuals (rs5491; p.K56M) is associated with heart failure (HF) hospitalization, but whether this risk is specific to heart failure with preserved ejection fraction (HFpEF) remains unclear. Older women are at high risk for HFpEF, and the relationship between rs5491 and HFpEF across the age spectrum is unknown.

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  • * Discovery of 7 new genetic loci associated with FVIII and 1 new locus for VWF, supporting their roles in thrombotic outcomes via Mendelian randomization.
  • * Functional testing revealed that silencing genes like B3GNT2 and CD36 impacted FVIII and VWF release from endothelial cells, indicating their potential regulatory roles.
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  • Mitochondria have their own circular DNA, and problems with this DNA are linked to aging-related diseases.
  • A study of nearly 195,000 UK Biobank participants reveals that higher levels of mitochondrial DNA variation (heteroplasmy) increase the risk of dying by 1.5 times.
  • Specific mutations in mitochondrial DNA may indicate a higher risk for cancer, particularly leukemia, suggesting that these mutations could be useful for cancer prognosis.
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Objective: Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D.

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  • Sickle cell trait affects about 8% of Black individuals in the U.S. and is linked to a higher risk of kidney diseases and lower kidney function, challenging its previously benign status.
  • The study analyzed 1,285 proteins in plasma samples from 592 Black participants with and without sickle cell trait, using age-adjusted linear regression to identify protein associations.
  • Out of 35 proteins significantly linked to sickle cell trait, many relate to kidney function, red cell physiology, and inflammation, with a constructed protein risk score showing potential clinical importance.
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Background: Clonal hematopoiesis of indeterminate potential (CHIP) was recently identified as a risk factor for incident heart failure (HF). Whether CHIP is associated selectively with risk of heart failure with reduced ejection fraction (HFrEF) or heart failure with preserved ejection fraction (HFpEF) subtypes is unknown.

Objectives: To evaluate whether CHIP is associated with incident HF subtypes, HFrEF versus HFpEF.

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Integrative approaches that simultaneously model multi-omics data have gained increasing popularity because they provide holistic system biology views of multiple or all components in a biological system of interest. Canonical correlation analysis (CCA) is a correlation-based integrative method designed to extract latent features shared between multiple assays by finding the linear combinations of features-referred to as canonical variables (CVs)-within each assay that achieve maximal across-assay correlation. Although widely acknowledged as a powerful approach for multi-omics data, CCA has not been systematically applied to multi-omics data in large cohort studies, which has only recently become available.

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Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood and saliva samples from individuals older than 40, including n = 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +).

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  • Intercellular adhesion molecule-1 (ICAM-1) is linked to heart failure (HF) and the study investigated how certain genetic variants of ICAM1 relate to circulating ICAM-1 levels and risk of developing HF.
  • Three missense variants were examined, with rs5491 being prevalent in Black participants and associated with higher ICAM-1 levels and increased risk of incident heart failure with preserved ejection fraction (HFpEF).
  • The findings suggest that the rs5491 variant may elevate the risk of HF, particularly in the Black population, indicating a potential genetic influence on heart health.
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Physical fitness is a well-known correlate of health and the aging process and DNA methylation (DNAm) data can capture aging via epigenetic clocks. However, current epigenetic clocks did not yet use measures of mobility, strength, lung, or endurance fitness in their construction. We develop blood-based DNAm biomarkers for fitness parameters gait speed (walking speed), maximum handgrip strength, forced expiratory volume in one second (FEV1), and maximal oxygen uptake (VO2max) which have modest correlation with fitness parameters in five large-scale validation datasets (average r between 0.

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  • GrimAge version 2 is an improved DNA methylation-based biomarker that enhances predictions of mortality risk by incorporating new estimators for plasma proteins, specifically log transformed high sensitivity C-reactive protein and hemoglobin A1C.
  • It was tested on 13,399 blood samples from various study cohorts and showed better performance than the original GrimAge, particularly for predicting mortality and age-related health issues across different racial and ethnic groups.
  • Additionally, GrimAge2 also appears applicable to younger individuals and alternative sample types like saliva, indicating its potential for tracking metabolic syndrome and other health risks, with strong correlations found to type 2 diabetes and morbidity counts.
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  • Genome-wide association studies have found thousands of genetic variations affecting blood traits, but the impact of structural variants on these traits was previously unclear.
  • A study using whole genome sequencing from a diverse group of nearly 50,700 participants identified 21 significant structural variants linked to red and white blood cell traits, with most findings confirmed in other datasets.
  • Experimental evidence showed that a specific deletion linked to lower monocyte counts disrupts an enhancer for the S1PR3 gene, leading to reduced S1PR3 expression.
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  • Tobacco and alcohol use contribute significantly to global mortality rates, with heritability playing a key role in these behaviors.
  • This study utilized genetic data from a diverse population of 3.4 million individuals, including 21% non-European ancestry, to identify genetic variants linked to tobacco and alcohol use.
  • Findings showed that while increased genetic diversity improved the identification of genomic loci, polygenic risk scores were less effective across different ancestries, underscoring the need for larger and more diverse genetic datasets for better predictive outcomes.
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Background Monocytes/macrophages participate in cardiovascular disease. CD163 (cluster of differentiation 163) is a monocyte/macrophage receptor, and the shed sCD163 (soluble CD163) reflects monocyte/macrophage activation. We examined the association of sCD163 with incident cardiovascular disease events and performed a genome-wide association study to identify sCD163-associated variants.

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  • - The study analyzed data from 703,901 individuals and identified 99 genetic loci related to physical activity levels and sedentary behavior, particularly focusing on leisure time activities and screen use.
  • - Certain genes linked to sedentary behavior show heightened expression in skeletal muscle when influenced by resistance training, highlighting a connection between genetics and exercise.
  • - The findings suggest that lower screen time and increased physical activity can positively impact health, but these effects may be influenced by factors like body mass index (BMI).
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Background: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

Methods: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

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Plasma levels of fibrinogen, coagulation factors VII and VIII and von Willebrand factor (vWF) are four intermediate phenotypes that are heritable and have been associated with the risk of clinical thrombotic events. To identify rare and low-frequency variants associated with these hemostatic factors, we conducted whole-exome sequencing in 10 860 individuals of European ancestry (EA) and 3529 African Americans (AAs) from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and the National Heart, Lung and Blood Institute's Exome Sequencing Project. Gene-based tests demonstrated significant associations with rare variation (minor allele frequency < 5%) in fibrinogen gamma chain (FGG) (with fibrinogen, P = 9.

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Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project.

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Importance: Higher intake of dietary fiber has been associated with lower inflammation, but whether there are differences in this association by source of dietary fiber (ie, cereal, vegetable, or fruit) has not been studied to date.

Objectives: To evaluate the associations of total fiber intake and source (ie, cereal, vegetable, and fruit fiber intake) with inflammation and to evaluate whether inflammation mediates the inverse association between dietary fiber intake and cardiovascular disease (CVD).

Design, Setting, And Participants: At the baseline visit (1989-1990) of 4125 adults aged 65 years or older in an ongoing US cohort study, dietary intake was assessed by a food frequency questionnaire among study participants without prevalent CVD (stroke and myocardial infarction) at enrollment.

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  • Large genome-wide studies have found many genetic loci linked to blood pressure, but identifying rare genetic variants has been tougher; this study targets regions on chromosomes 1 and 19 in African American families.
  • Researchers found significant associations of low frequency and rare variants in the gene RCN3 and others with blood pressure traits, confirmed in a larger UK Biobank sample.
  • The study highlights that concentrating on specific linkage regions can enhance the detection of rare variants and helps understand what influences blood pressure variation better.
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  • * A large study investigated blood-based DNA methylation patterns in relation to kidney function and found 69 DNA sites linked to estimated glomerular filtration rate and 7 to urinary albumin-to-creatinine ratio, pointing to potential genetic markers for CKD.
  • * Further validation in kidney tissue highlighted specific genes associated with kidney function and suggested that certain DNA methylation changes could have causal effects, implicating pathways in blood cell migration and immune response related to kidney health.
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  • * The study identified 100 significant CpG sites that account for 11.6% of serum urate variance, particularly noting five CpGs associated with SLC2A9, a major gene influencing serum urate levels.
  • * Additionally, some of these CpGs also appear to mediate effects of genetic variants related to serum urate and are linked to metabolic syndrome, suggesting a potential blood DNA methylation signature for assessing cardiometabolic risk factors.
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