Publications by authors named "Laura M Yerges-Armstrong"

Sharing genetic and other study results with the communities who participate in research falls under benefit-sharing and capacity-building initiatives that underpin a more equitable biomedical research relationship. Yet, which results to return and how remain fundamental challenges that persist in the absence of practical guidance and institutional policies. Here, we discuss how the return of results can be implemented across different geographies, study designs, and project budgets.

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  • The study investigates the genetic factors contributing to the decline in estimated glomerular filtration rate (eGFR), a key indicator of kidney function, by analyzing data from 62 longitudinal studies involving over 343,000 participants.
  • Twelve significant genetic variants related to eGFR decline were identified, with most showing interaction effects based on age, which highlights how genetic influences on kidney function change as individuals get older.
  • The findings emphasize that individuals with certain genetic profiles face higher risks for kidney failure and acute kidney injury, providing valuable insights that could aid in drug development and strategies for managing kidney health.
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  • Reduced glomerular filtration rate (GFR) is a precursor to kidney failure, influenced by factors like genetics and diabetes (DM), but the interaction between these factors is not well understood.
  • A large-scale genome-wide association study (GWAS) analyzed eGFR across almost 1.5 million individuals, revealing distinct genetic loci that differ between those with and without diabetes.
  • The findings identified potential new targets for drug development aimed at protecting kidney function, highlighting that many drug interventions could be effective for both diabetic and non-diabetic populations.
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  • The HERMES consortium is focused on understanding the genomic and molecular factors that contribute to heart failure by analyzing data from a large number of studies worldwide.
  • It includes 51 studies from 11 countries, gathering data from over 68,000 heart failure cases and nearly 950,000 controls, with broad demographic representation and long follow-up periods.
  • The main goals are to identify genetic risk factors for heart failure, explore causal pathways, and create tools to help stratify patients and predict risks based on their genetic information.
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Homozygosity for the Z allele causes α-antitrypsin deficiency, a rare condition that can cause lung and liver disease. However, the effects of Z allele heterozygosity on nonrespiratory phenotypes, and on lung function in the general population, remain unclear. We conducted a large, population-based study to determine Z allele effects on >2400 phenotypes in the UK Biobank (N=303 353).

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Context: Glycogen storage diseases are rare. Increased glycogen in the liver results in increased attenuation.

Objective: Investigate the association and function of a noncoding region associated with liver attenuation but not histologic nonalcoholic fatty liver disease.

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Article Synopsis
  • - The study investigates the genetic factors contributing to the rapid decline in glomerular filtration rate (eGFRcrea), using data from 42 genome-wide association studies to analyze genetic loci linked to this decline.
  • - Two specific definitions of rapid eGFRcrea decline are examined, leading to the identification of seven independent genetic variants associated with this condition, including significant findings near three novel loci.
  • - The research suggests that individuals with a higher genetic risk for kidney function decline are more likely to experience acute kidney injury, indicating that these identified genetic loci could help in developing targeted therapies and identifying at-risk individuals.
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Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls.

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Older men sustain excess bone mineral density (BMD) declines after hip fracture; however, BMD provides no information on mechanical structure and strength. The aim was to assess whether changes in hip bone geometry in older men after hip fracture differ than that expected with aging. Two cohorts were used: Baltimore Hip Studies 7th cohort (BHS-7) and Baltimore Men's Osteoporosis Study (MOST).

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The accumulation of excess fat in the liver (hepatic steatosis) in the absence of heavy alcohol consumption causes nonalcoholic fatty liver disease (NAFLD), which has become a global epidemic. Identifying metabolic risk factors that interact with the genetic risk of NAFLD is important for reducing disease burden. We tested whether serum glucose, insulin, insulin resistance, triglyceride (TG), low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index (BMI), and waist-to-hip ratio adjusted for BMI interact with genetic variants in or near the patatin-like phospholipase domain containing 3 () gene, the glucokinase regulatory protein () gene, the neurocan/transmembrane 6 superfamily member 2 () gene and the lysophospholipase-like 1 () gene to exacerbate hepatic steatosis, estimated by liver attenuation.

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Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178).

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Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent populations.

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Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted coding and splice site variants available on exome arrays in up to 344,369 individuals from five major ancestries (discovery) and 132,177 European-ancestry individuals (validation). We identified 15 common (minor allele frequency, MAF ≥5%) and nine low-frequency or rare (MAF <5%) coding novel variants.

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Background: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass.

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Rosacea is a common, chronic skin disease of variable severity with limited treatment options. The cause of rosacea is unknown, but it is believed to be due to a combination of hereditary and environmental factors. Little is known about the genetics of the disease.

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In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.

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In the published version of this paper, the name of author Emanuele Di Angelantonio was misspelled. This error has now been corrected in the HTML and PDF versions of the article.

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Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI.

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Previous genome-wide association studies (GWAS) have identified several variants associated with platelet function phenotypes; however, the proportion of variance explained by the identified variants is mostly small. Rare coding variants, particularly those with high potential for impact on protein structure/function, may have substantial impact on phenotype but are difficult to detect by GWAS. The main purpose of this study was to identify low frequency or rare variants associated with platelet function using genotype data from the Illumina HumanExome Bead Chip.

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A phenome-wide association study of variants in genes in the Th17 and IL-17 pathway was performed using self-reported phenotypes and genetic data from 521,000 research participants of 23andMe. Results replicated known associations with similar effect sizes for autoimmune traits illustrating self-reported traits can be a surrogate for clinically assessed conditions. Novel associations controlling for a false discovery rate of 5% included the association of the variant encoding p.

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Article Synopsis
  • The study investigates the genetic factors associated with knee osteoarthritis (OA) specifically in African Americans, addressing a gap in existing research predominantly focused on European and Asian populations.
  • A genome-wide association study of 1,217 African Americans revealed a significant genetic variant linked to knee OA, with some variants less common in European populations.
  • Findings indicate distinct genetic differences in knee OA susceptibility between African Americans and European whites, emphasizing the importance of involving diverse populations in genetic research for OA.
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