Publications by authors named "Adrienne Stilp"

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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Sharing diverse genomic and other biomedical datasets is critical to advancing scientific discoveries and their equitable translation to improve human health. However, data sharing remains challenging in the context of legacy datasets, evolving policies, multi-institutional consortium science, and international stakeholders. The NIH-funded Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium was established to improve the performance of polygenic risk estimates for a broad range of health and disease outcomes with global impacts.

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Here, we present a multi-omics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits conducted to date in Hispanic/Latino populations (n = 63,184). We conduct a meta-analysis of 16 type 2 diabetes and 19 lipid trait GWAS, identifying 20 genome-wide significant loci for type 2 diabetes, including one novel locus and novel signals at two known loci, based on fine-mapping. We also identify sixty-one genome-wide significant loci across the lipid/lipoprotein traits, including nine novel loci, and novel signals at 19 known loci through fine-mapping.

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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 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 (WGS) of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program.

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Polygenic risk scores (PRSs) depend on genetic ancestry due to differences in allele frequencies between ancestral populations. This leads to implementation challenges in diverse populations. We propose a framework to calibrate PRS based on ancestral makeup.

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Chronic () airway infection is common and a key contributor to diminished lung function and early mortality in persons with cystic fibrosis (PwCF). Risk factors for chronic among PwCF include (cystic fibrosis transmembrane conductance regulator) genotype, genetic modifiers, and environmental factors. Intensive antibiotic therapy and highly effective modulators do not eradicate in most adolescents and adults with cystic fibrosis.

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Article Synopsis
  • Polygenic risk scores (PRSs) could enhance disease risk prediction, but their current effectiveness is compromised for non-European populations, creating potential health disparities.
  • The PRIMED Consortium aims to improve PRS performance by aggregating diverse genetic data on a cloud platform and evaluating ethical implications related to its implementation.
  • Focused on cardiometabolic diseases and cancer, PRIMED seeks to promote equity in polygenic risk assessment through collaboration across multiple research sites and organizations.
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  • 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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  • Inflammation biomarkers offer crucial insights into the inflammatory processes linked to various diseases, and their sequencing can help reveal the genetic makeup of these traits.
  • A study analyzed 21 inflammation biomarkers from around 38,465 individuals, discovering 22 significant associations across 6 inflammatory traits after considering existing findings.
  • The research combined single-variant and rare variant analyses, identifying additional significant associations and highlighting the complexity and diversity of genetic influences on inflammation traits across different ancestries.
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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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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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  • Type 2 diabetes (T2D) is a complex disease influenced by various genetic factors and molecular mechanisms that vary by cell type and ancestry.
  • In a large study involving over 2.5 million individuals, researchers identified 1,289 significant genetic associations linked to T2D, including 145 new loci not previously reported.
  • The study categorized T2D signals into eight distinct clusters based on their connections to cardiometabolic traits and showed that these genetic profiles are linked to vascular complications, emphasizing the role of obesity-related processes across different ancestry groups.
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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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  • Megabase-scale mosaic chromosomal alterations (mCAs) in blood can indicate the risk of various human diseases, and this study analyzes whole-genome sequencing data from 67,390 individuals to better understand mCA rates across different genetic backgrounds.
  • The research found that whole-genome sequencing is more effective than traditional methods for detecting mCAs, revealing that individuals of European ancestry have higher rates of autosomal mCAs and lower rates of chromosome X mCAs compared to those of African or Hispanic ancestry.
  • The study identifies three genetic loci linked to chromosome X loss and associates rare variants in specific genes (DCPS, ADM17, PPP1R16B, and TET2) with autosomal mCAs
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  • Inflammation biomarkers play a crucial role in understanding diseases and can reveal insights into genetic traits through whole-genome sequencing studies.
  • A comprehensive analysis of 21 inflammation biomarkers in over 38,000 individuals found 22 significant single-variant associations across six different inflammatory traits, indicating the complexity and diversity of these biomarkers.
  • The study also included rare variant analyses, identifying 19 additional significant associations, which highlights the importance of using multiple analytical approaches to enhance the understanding of inflammation-related traits across different ancestries.
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  • The NHLBI BioData CatalystⓇ (BDC) is a special online place where researchers can easily find and work with large sets of health data.
  • It offers tools and features to help scientists study health problems related to the heart, lungs, blood, and sleep, making research faster and more effective.
  • BDC also helped speed up research on COVID-19 and supports a program to help new scientists make important discoveries.
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Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases.

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  • Researchers compiled a comprehensive catalog of 355,667 structural variants (SVs) from DNA data, with over half being novel, to better understand the relationship between SVs and diseases.
  • The study involved rigorous methods to ensure high-quality variant identification, showing over 90% accuracy compared to previous genetic assemblies.
  • This catalog reveals significant connections between SVs and various health traits, identifying 690 specific regions that may influence medically relevant genes, providing a crucial resource for disease research.
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Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.

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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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  • - Individuals with cystic fibrosis (CF) can develop complications like cystic fibrosis-related diabetes (CFRD) and meconium ileus (MI), which are influenced by genetic factors beyond the CFTR gene.
  • - A study using whole-genome sequencing identified 11 genetic variants linked to MI and 12 to CFRD, with some variants (like those in SLC26A9, CEBPB, and PRSS1) affecting both conditions.
  • - While some genetic loci increase the risk for both CFRD and MI, others specifically impact one condition, suggesting both differences and shared genetic mechanisms between these complications.
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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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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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F508del (c.1521_1523delCTT, p.Phe508delPhe) is the most common pathogenic allele underlying cystic fibrosis (CF), and its frequency varies in a geographic cline across Europe.

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