Publications by authors named "Bertha Hidalgo"

Article Synopsis
  • * This study is the first large-scale analysis examining the relationship between EDS and genetic variations related to OSA severity, using data from over 11,500 samples across diverse populations.
  • * Researchers identified 16 genetic targets linked to EDS and OSA, with eight being new discoveries, and discussed potential therapeutic implications involving insulin resistance and nutritional factors for patients with OSA and EDS.
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Article Synopsis
  • Chronic kidney disease (CKD) affects about 1 in 7 adults in the U.S., especially African Americans who are more likely to suffer from it.
  • Scientists discovered that certain changes in DNA can help predict who might get CKD, focusing on specific sites in the DNA.
  • The study created a special score using these DNA changes to see how likely someone is to have CKD and found it works well for African Americans, suggesting it could help in checking kidney health in the future.
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Key Points: The predictive performance of an African ancestry–specific polygenic risk score (PRS) was comparable to a European ancestry–derived PRS for kidney traits. However, multi-ancestry PRSs outperform single-ancestry PRSs in Black American populations. Predictive accuracy of PRSs for CKD was improved with the use of race-free eGFR.

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Background: Causal graphs are an important tool for covariate selection but there is limited applied research on how best to create them. Here, we used data from the Coronary Drug Project trial to assess a range of approaches to directed acyclic graph (DAG) creation. We focused on the effect of adherence on mortality in the placebo arm, since the true causal effect is believed with a high degree of certainty.

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Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer's disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole genome sequencing of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program.

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Background: Heart failure (HF) affects >6 million US adults, with recent increases in HF hospitalizations. We aimed to investigate the association between neighborhood disadvantage and incident HF events and potential differences by diabetes status.

Methods: We included 23 645 participants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), a prospective cohort of Black and White adults aged ≥45 years living in the continental United States (baseline 2005-2007).

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Background And Aims: Type 2 diabetes (T2D) is a disease caused by a relative insulin deficiency compared to the significant insulin requirement needed by the body to achieve glycemic control. T2D in adolescence appears to be increasing in prevalence over the past several decades, necessitating studies to understand for the onset of the disease to occur early in the lifespan. Given the high burden of disease, specifically in young African American adolescents, our study chose to focus initially on feasibility of recruitment of this population.

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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.
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An estimated 250 million people worldwide suffer from knee osteoarthritis (KOA), with older adults having greater risk. Like other age-related diseases, residents of high-deprivation neighborhoods experience worse KOA pain outcomes compared to their more affluent neighbors. The purpose of this study was to examine the relationship between neighborhood deprivation and pain severity in KOA and the influence of epigenetic age acceleration (EpAA) on that relationship.

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Understanding the impact of caregiving responsibilities on women in medicine is crucial for ensuring a healthy and intact workforce, as caregiving responsibilities have the potential to affect the careers of women in health care along the entire pipeline, from students and trainees to physicians, physician-scientists, and biomedical researchers.

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The Clinical and Translational Science Award (CTSA) Program recognizes that advancing diversity, equity, inclusion, and accessibility (DEIA) requires moving beyond statements of commitment to transformative actions. In 2021, the CTSA Program created a Task Force (TF) to initiate work in support of structural and transformational initiatives that advance DEIA for the consortium and its individual hubs. We describe the process of forming the expertise-driven (DEIA) TF and our activities to date.

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Unlabelled: Few studies have demonstrated reproducible gene-diet interactions (GDIs) impacting metabolic disease risk factors, likely due in part to measurement error in dietary intake estimation and insufficient capture of rare genetic variation. We aimed to identify GDIs across the genetic frequency spectrum impacting the macronutrient-glycemia relationship in genetically and culturally diverse cohorts. We analyzed 33,187 participants free of diabetes from 10 National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program cohorts with whole-genome sequencing, self-reported diet, and glycemic trait data.

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As the worldwide prevalence of overweight and obesity continues to rise, so too does the urgency to fully understand mediating mechanisms, to discover new targets for safe and effective therapeutic intervention, and to identify biomarkers to track obesity and the success of weight loss interventions. In 2016, the American Heart Association sought applications for a Strategically Focused Research Network (SFRN) on Obesity. In 2017, 4 centers were named, including Johns Hopkins University School of Medicine, New York University Grossman School of Medicine, University of Alabama at Birmingham, and Vanderbilt University Medical Center.

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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.

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Article Synopsis
  • This study looked at how body size and shape traits, like height and BMI, can be linked to genetics and health problems related to the heart and metabolism.! -
  • Scientists analyzed DNA from over 22,000 people to find genetic connections to these traits and discovered some specific genes that might affect height and BMI.! -
  • They found important results related to height but faced difficulties in identifying the effects of rare genetic variants, which are harder to study but still important for understanding genetics.!
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A known association exists between exposure to gestational diabetes mellitus (GDM) and epigenetic age acceleration (EAA) in GDM-exposed offspring compared to those without GDM exposure. This association has not been assessed previously in mothers with pregnancies complicated by GDM. A total of 137 mother-child dyads with an index pregnancy 4−10 years before study enrollment were included.

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Article Synopsis
  • 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: Some but not all African-Americans (AA) who carry nephropathy risk variants () develop kidney failure (end-stage kidney disease, ESKD). To identify genetic modifiers, we assessed gene-gene interactions in a large prospective cohort of the REasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Methods: Genotypes from 8,074 AA participants were obtained from Illumina Infinium Multi-Ethnic AMR/AFR Extended BeadChip.

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Objective: Obesity in pregnancy and gestational diabetes (GDM) increase cardiometabolic disease risk but are difficult to disentangle. This study aimed to test the hypothesis that 4-10 years after a pregnancy complicated by overweight/obesity and GDM (OB-GDM), women and children would have greater adiposity and poorer cardiometabolic health than those with overweight/obesity (OB) or normal weight (NW) and no GDM during the index pregnancy.

Methods: In this cross-sectional study, mother-child dyads were stratified into three groups based on maternal health status during pregnancy (OB-GDM = 67; OB = 76; NW = 76).

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Article Synopsis
  • * A study involving 66,329 participants from diverse ancestries discovered 428 million variants linked to lipid levels, many of which had not been explored in previous genetic research.
  • * The research identified significant associations between blood lipid levels and both common and rare genetic variants, including a clinically significant rare non-coding variant model, enhancing understanding of lipid genetics across different populations.
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How race, ethnicity, and ancestry are used in genomic research has wide-ranging implications for how research is translated into clinical care and incorporated into public understanding. Correlation between race and genetic ancestry contributes to unresolved complexity for the scientific community, as illustrated by heterogeneous definitions and applications of these variables. Here, we offer commentary and recommendations on the use of race, ethnicity, and ancestry across the arc of genetic research, including data harmonization, analysis, and reporting.

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Article Synopsis
  • Researchers studied the genetic connections to blood fats using data from 1.6 million people from different backgrounds to understand why certain fats are higher or lower in the body.
  • They looked at special genes and how they interact in the liver and fat cells, finding that the liver plays a big part in controlling fat levels.
  • Two specific genes, CREBRF and RRBP1, were highlighted as important in understanding how our bodies manage fats due to strong supporting evidence.
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Article Synopsis
  • - The study analyzed genetic factors affecting fasting glucose (FG) and fasting insulin (FI) using high-coverage whole genome sequencing from over 23,000 non-diabetic individuals across five different racial and ethnic groups.
  • - Researchers identified eight significant genetic variants linked to FG or FI in known gene regions, while also suggesting associations with additional regions related to metabolic processes.
  • - The project compiled functional annotation resources to help understand the implications of these genetic variations and laid the groundwork for future research on glycemic traits.
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