Publications by authors named "Anna L Peljto"

Article Synopsis
  • IPF development involves a two-hit process: an initial vulnerability of the lung's epithelial cells followed by a second injury that triggers fibrotic changes.
  • Genetic factors play a crucial role in the first hit, while ongoing damage disrupts normal cell function and activates fibroblasts, leading to lung fibrosis.
  • Understanding IPF in terms of its stages may lead to new treatments that target these underlying causes, aiming for a shift from palliative care to potential cures for patients.
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Article Synopsis
  • Idiopathic pulmonary fibrosis (IPF) is a complex disease, and variations in genetic profiles might influence unique clinical and imaging characteristics.
  • Computational image analysis, or radiomics, provides a way to quantify and analyze CT scan features objectively in patients with pulmonary fibrosis.
  • The study found that certain genetic variants correlated with deep learning-based classifications of the usual interstitial pneumonia (UIP) pattern on CT, suggesting that advanced imaging analysis could help in understanding genotype-phenotype relationships in lung diseases.
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Shortened telomere lengths (TLs) can be caused by single nucleotide polymorphisms and loss-of-function mutations in telomere-related genes (TRG), as well as ageing and lifestyle factors such as smoking. Our objective was to determine if shortened TL is associated with interstitial lung disease (ILD) in individuals with rheumatoid arthritis (RA). This is the largest study to demonstrate and replicate that shortened peripheral blood leukocytes-TL is associated with ILD in patients with RA compared with RA without ILD in a multinational cohort, and short PBL-TL was associated with baseline disease severity in RA-ILD as measured by forced vital capacity percent predicted.

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In addition to rare genetic variants and the locus, common genetic variants contribute to idiopathic pulmonary fibrosis (IPF) risk. The predictive power of common variants outside the locus for IPF and interstitial lung abnormalities (ILAs) is unknown. We tested the predictive value of IPF polygenic risk scores (PRSs) with and without the region on IPF, ILA, and ILA progression.

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Idiopathic pulmonary fibrosis (IPF) is a rare, irreversible, and progressive disease of the lungs. Common genetic variants, in addition to nongenetic factors, have been consistently associated with IPF. Rare variants identified by candidate gene, family-based, and exome studies have also been reported to associate with IPF.

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Relatives of patients with familial interstitial pneumonia (FIP) are at increased risk for pulmonary fibrosis and develop preclinical pulmonary fibrosis (PrePF). We defined the incidence and progression of new-onset PrePF and its relationship to survival among first-degree relatives of families with FIP. This is a cohort study of family members with FIP who were initially screened with a health questionnaire and chest high-resolution computed tomography (HRCT) scan, and approximately 4 years later, the evaluation was repeated.

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Article Synopsis
  • Common genetic variants account for less variation in complex traits like tobacco use than previously thought, leading to discussions about "missing heritability."
  • A study of over 26,000 individuals of European descent and nearly 12,000 of African descent found that rare genetic variants contribute significantly to the heritability of smoking behaviors.
  • The research revealed that rare variants could explain up to 74% of the heritability estimates for smoking traits, which are much higher than those based on common variants alone.
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A subset of patients with hypersensitivity pneumonitis (HP) develop lung fibrosis that is clinically similar to idiopathic pulmonary fibrosis (IPF). To address the aetiological determinants of fibrotic HP, we investigated whether the common IPF genetic risk variants were also relevant in study subjects with fibrotic HP. Our findings indicate that common genetic variants in , , and were significantly associated with fibrotic HP.

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Background: To determine the effect of the MUC5B promoter polymorphism (rs35705950) on the CT imaging appearance of pulmonary fibrosis.

Methods: High-resolution CT scans of 1,764 subjects were scored as part of a, genomewide association study with institutional review board approval; 1,491 of these had pulmonary fibrosis on CT scans and were included in the study. Two thoracic radiologists independently scored CT scans systematically.

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Background: The current usual interstitial pneumonitis (UIP)/idiopathic pulmonary fibrosis CT scan classification system excludes probable UIP as a diagnostic category. We sought to determine the predictive effect of probable UIP on CT scan on histology and the effect of the promoter polymorphism in MUC5B (rs35705950) on histologic and CT scan UIP diagnosis.

Methods: The cohort included 201 subjects with pulmonary fibrosis who had lung tissue samples obtained within 1 year of chest CT scan.

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Background: Polymorphisms in the MUC5B promoter, TOLLIP, and nine additional genetic loci have been associated with idiopathic pulmonary fibrosis (IPF) within non-Hispanic white populations. It is unknown whether these variants account for risk of IPF in other racial/ethnic populations. We conducted a candidate single nucleotide polymorphism (SNP) association study in cohorts of Mexican and Korean patients with IPF.

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Almost all previous studies of familial risk of epilepsy have had potentially serious methodological limitations. Our goal was to address these limitations and provide more rigorous estimates of familial risk in a population-based study. We used the unique resources of the Rochester Epidemiology Project to identify all 660 Rochester, Minnesota residents born in 1920 or later with incidence of epilepsy from 1935-94 (probands) and their 2439 first-degree relatives who resided in Olmsted County.

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A polymorphism on the MUC5B promoter (rs35705950) has been associated with idiopathic pulmonary fibrosis (IPF) but not with systemic sclerosis (SSc) with interstitial lung disease (ILD). We genotyped the MUC5B promoter in the first 142 patients of the French national prospective cohort of IPF, in 981 French patients with SSc (346 ILD), 598 Italian patients with SSc (207 ILD), 1383 French controls and 494 Italian controls. A meta-analysis was performed including all American data available.

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Importance: Current prediction models of mortality in idiopathic pulmonary fibrosis (IPF), which are based on clinical and physiological parameters, have modest value in predicting which patients will progress. In addition to the potential for improving prognostic models, identifying genetic and molecular features that are associated with IPF mortality may provide insight into the underlying mechanisms of disease and inform clinical trials.

Objective: To determine whether the MUC5B promoter polymorphism (rs35705950), previously reported to be associated with the development of pulmonary fibrosis, is associated with survival in IPF.

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We performed a genome-wide association study of non-Hispanic, white individuals with fibrotic idiopathic interstitial pneumonias (IIPs; n = 1,616) and controls (n = 4,683), with follow-up replication analyses in 876 cases and 1,890 controls. We confirmed association with TERT at 5p15, MUC5B at 11p15 and the 3q26 region near TERC, and we identified seven newly associated loci (Pmeta = 2.4 × 10(-8) to 1.

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Background: More than 80% of patients with systemic sclerosis (SSc) develop lung involvement, most commonly interstitial pneumonia (IP). We recently identified a common variant in the promoter region of MUC5B (rs35705950) that has a significant effect on the risk of developing both familial and sporadic forms of IP. We hypothesized that this MUC5B promoter polymorphism is also associated with IP in subjects with SSc.

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Background/aims: Current linkage studies detect and localize trait loci using genotypes sampled at hundreds of thousands of single nucleotide polymorphisms (SNPs). Such data should provide precise estimates of trait location once linkage has been established. However, correlations between nearby SNPs can distort the information about trait location.

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