Publications by authors named "Leslie A Lange"

Objectives: To construct multi-trait polygenic scores (PRS) predicting chronic obstructive pulmonary disease (COPD) and exacerbations, validate their performance in diverse cohorts, and identify PRS-related proteins for potential therapeutic targeting.

Design: Prospective cohort studies.

Setting: Genetic Epidemiology of COPD (COPDGene; 2007-present), Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE; 2005-2008), Mass General Brigham Biobank (MGBB; 2010-present), All of Us (2016-present), and UK Biobank (UKB; 2006-present).

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Background: Polygenic risk scores (PRSs) improve type 2 diabetes (T2D) prediction beyond clinical risk factors but perform poorly in non-European populations, where T2D burden is often higher, undermining their global clinical utility.

Methods: We conducted the largest global effort to date to harmonize T2D genome-wide association study (GWAS) meta-analyses across five ancestries-European (EUR), African/African American (AFR), Admixed American (AMR), South Asian (SAS), and East Asian (EAS)-including 360,000 T2D cases and 1·8 million controls (41% non-EUR). We constructed ancestry-specific and multi-ancestry PRSs in training datasets including 11,000 T2D cases and 32,000 controls, and validated their performance in independent datasets including 39,000 T2D cases and 126,000 controls of diverse ancestries.

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Polygenic scores (PGSs) for body mass index (BMI) may guide early prevention and targeted treatment of obesity. Using genetic data from up to 5.1 million people (4.

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Background: Hypertension (HT) and chronic kidney diseases (CKD) are complex conditions having both genetic and environmental contributions, disproportionately affecting African American (AA) individuals. Recent evidence is contradictory regarding the directionality of the relationship between the two conditions. This study investigates the relationship between CKD and blood pressure (BP)-related traits with CKD and BP by generating polygenic risk scores (PRSs) for CKD and BP-related traits in 2,995 AA participants of the Jackson Heart Study.

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Polygenic risk score (PRS) distributions vary across populations, complicating PRS risk assessment. We evaluated the impact of PRS calibration according to individualized genetic ancestry estimates on PRS performance using two large multi-ethnic PRS for type 2 diabetes (T2D) (PRS) and height (PRS), in 8,841 African American (AA) individuals from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. We calibrated each participant's score as a function of estimated genetic similarity to the Yoruba (GSYRI) cohort in the 1000 Genomes Project.

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Background: Chronic obstructive pulmonary disease (COPD) exhibits marked heterogeneity in lung function decline, mortality, exacerbations, and other disease-related outcomes. Omic risk scores (ORS) estimate the cumulative contribution of omics, such as the transcriptome, proteome, and metabolome, to a particular trait. This study evaluates the predictive value of ORS for COPD-related traits in both smoking-enriched and general population cohorts.

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Introduction: Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.

Methods: We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.

Results: The results are generally consistent with prior work in White populations.

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Objective: Exposure to maternal gestational diabetes mellitus (GDM) is associated with childhood BMI. Among youth, we explored whether three different glucagon-like peptide 1 receptor gene (GLP-1R) polymorphisms modified the associations between 1) GDM and BMI trajectories and 2) GDM and markers of glucose-insulin homeostasis.

Research Design And Methods: For 464 participants from the Exploring Perinatal Outcomes Among Children (EPOCH) study, microarray genotyping was performed during childhood (∼10 years).

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With age, hematopoietic stem cells can acquire somatic mutations in leukemogenic genes that confer a proliferative advantage in a phenomenon termed CHIP. How these mutations result in increased risk for numerous age-related diseases remains poorly understood. We conduct a multiracial meta-analysis of EWAS of CHIP in the Framingham Heart Study, Jackson Heart Study, Cardiovascular Health Study, and Atherosclerosis Risk in Communities cohorts (N = 8196) to elucidate the molecular mechanisms underlying CHIP and illuminate how these changes influence cardiovascular disease risk.

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Carotid artery intima-media thickness (cIMT) is a measurement of subclinical atherosclerosis that predicts future cardiovascular events, including stroke and myocardial infarction. Genome-wide association studies (GWAS) have identified only a fraction of the genetic variants associated with cIMT. We performed the largest GWAS for cIMT involving up to 131,000 individuals.

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Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups.

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Measures from affinity-proteomics platforms often correlate poorly, challenging interpretation of protein associations with genetic variants (pQTL) and phenotypes. Here, we examined 2,157 proteins measured on both SomaScan 7k and Olink Explore 3072 across 1,930 participants with genetic similarity to European, African, East Asian, and Admixed American ancestry references. Inter-platform correlation coefficients for these 2,157 proteins followed a bimodal distribution (median r=0.

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Despite considerable advances in identifying risk factors for obesity development, there remains substantial gaps in our knowledge about its etiology. Variation in obesity (defined by BMI) is thought to be due in part to heritable factors; however, obesity-associated genetic variants only account for a small portion of heritability. Epigenetic regulation defined by genetic and/or environmental factors with changes in gene expression, may account for some of this "missing heritability".

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Context: This is the first study to examine the association between variants of the glucagon-like-peptide-1 receptor gene (GLP-1R) and metabolic characteristics among youth.

Objective: We explored separate associations of 3 GLP-1R polymorphisms (rs10305420, rs6923761, and rs1042044) with body mass index (BMI) trajectories and markers of glucose-insulin homeostasis.

Methods: Mixed models examined associations between GLP-1R polymorphisms and trajectories of BMI.

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Article Synopsis
  • Researchers studied plasma proteomic profiles linked to subclinical mutations in blood cells, particularly focusing on clonal hematopoiesis of indeterminate potential (CHIP) and its connection to various health outcomes, including coronary artery disease (CAD).
  • The study involved a large, diverse group of participants and identified a significant number of unique proteins associated with key driver genes, showing differences based on genetics, sex, and race.
  • Methods like Mendelian randomization and mouse model tests helped clarify the causal effects of these proteins, revealing shared plasma proteins between CHIP and CAD that could inform future clinical insights.
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  • A study explored how different biological factors (like proteins and metabolites) can help identify distinct groups of people with obesity who have varying risks for heart and metabolic diseases.
  • Using data from 243 participants, researchers found two groups: one (iCluster1) with favorable cholesterol levels and another (iCluster2) with higher BMI and inflammation levels.
  • The findings suggest these groups could reflect different stages of obesity-related issues, potentially influenced by factors like diet and behavior, despite similar ages across the groups.
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  • A study investigated how well a polygenic risk score (PRS) for systolic blood pressure (SBP) can predict patients' responses to antihypertensive treatment and the risk of treatment-resistant hypertension.
  • The research focused on participants from the GenHAT study, specifically Black individuals who were assigned to treatment groups involving chlorthalidone or lisinopril.
  • The main outcomes measured were changes in blood pressure after six months and the likelihood of being classified as treatment-resistant hypertension based on defined criteria.
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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • Genetic studies have highlighted the need for more diverse research on plasma fibrinogen levels, as previous studies largely focused on Europeans, leading to gaps in understanding and missing heritability.
  • By analyzing data from whole-genome sequencing and genotype data from large cohorts, researchers identified 18 genetic loci related to fibrinogen levels, some of which are more common in African populations and include variants that may impact protein function.
  • The study's findings indicate a connection between fibrinogen levels and various health conditions, emphasizing the importance of whole-genome sequencing in discovering genetic factors in diverse populations and enhancing knowledge about fibrinogen regulation.
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  • Researchers investigated blood protein networks in chronic obstructive pulmonary disease (COPD) using data from over 3,000 participants to better understand complex interconnections rather than just individual biomarker changes.
  • They applied advanced techniques to analyze 4,776 proteins, identifying significant networks linked to factors like smoking status and emphysema.
  • The study found both known and new proteins associated with COPD, highlighting the importance of these networks in understanding the disease across different ethnic groups, with some results replicating in another study cohort.
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  • 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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Type 2 diabetes (T2D) is caused by both genetic and environmental factors and is associated with an increased risk of cardiorenal complications and mortality. Though disproportionately affected by the condition, African Americans (AA) are largely underrepresented in genetic studies of T2D, and few estimates of heritability have been calculated in this race group. Using genome-wide association study (GWAS) data paired with phenotypic data from ~ 19,300 AA participants of the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, Genetics of Hypertension Associated Treatments (GenHAT) study, and the Electronic Medical Records and Genomics (eMERGE) network, we estimated narrow-sense heritability using two methods: Linkage-Disequilibrium Adjusted Kinships (LDAK) and Genome-Wide Complex Trait Analysis (GCTA).

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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.
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