Publications by authors named "Joshua Weinstock"

Article Synopsis
  • Genetic variation linked to complex traits is highly pleiotropic, meaning it affects multiple traits, which can be better understood through multi-phenotype analyses to identify shared and specific genetic factors.
  • Traditional matrix factorization (MF) methods struggle with issues like sample-sharing confounding and often yield factors too broad to map onto biological pathways, prompting a need for improvement.
  • The newly introduced method GLEANR effectively addresses these challenges by detecting sparse genetic factors from GWAS summary statistics, improves the replication of genetic factors across different studies, and offers clearer interpretations aligned with diseases and biological processes, as demonstrated through its evaluation of the UK Biobank.
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  • 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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The effects of genetic variation on complex traits act mainly through changes in gene regulation. Although many genetic variants have been linked to target genes in cis, the trans-regulatory cascade mediating their effects remains largely uncharacterized. Mapping trans-regulators based on natural genetic variation has been challenging due to small effects, but experimental perturbations offer a complementary approach.

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Clonal hematopoiesis (CH) is defined by the expansion of a lineage of genetically identical cells in blood. Genetic lesions that confer a fitness advantage, such as point mutations or mosaic chromosomal alterations (mCAs) in genes associated with hematologic malignancy, are frequent mediators of CH. However, recent analyses of both single cell-derived colonies of hematopoietic cells and population sequencing cohorts have revealed CH frequently occurs in the absence of known driver genetic lesions.

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Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels.

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  • Genome-wide association studies (GWAS) have successfully identified genes linked to telomere length, but previous research hadn't validated these findings until now.
  • In a large analysis involving over 211,000 people, the study discovered five new signals linked to telomere length and highlighted the importance of blood/immune cells in this area.
  • The researchers confirmed that the genes KBTBD6 and POP5 truly affect telomere length by demonstrating that manipulating these genes can lengthen telomeres and that their regulation is crucial for understanding telomere biology.
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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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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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The effects of genetic variation on complex traits act mainly through changes in gene regulation. Although many genetic variants have been linked to target genes in , the trans-regulatory cascade mediating their effects remains largely uncharacterized. Mapping trans-regulators based on natural genetic variation, including eQTL mapping, has been challenging due to small effects.

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Expression forecasting methods use machine learning models to predict how a cell will alter its transcriptome upon perturbation. Such methods are enticing because they promise to answer pressing questions in fields ranging from developmental genetics to cell fate engineering and because they are a fast, cheap, and accessible complement to the corresponding experiments. However, the absolute and relative accuracy of these methods is poorly characterized, limiting their informed use, their improvement, and the interpretation of their predictions.

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Clonal hematopoiesis of indeterminate potential (CHIP) is a premalignant expansion of mutated hematopoietic stem cells. As CHIP-associated mutations are known to alter the development and function of myeloid cells, we hypothesized that CHIP may also be associated with the risk of Alzheimer's disease (AD), a disease in which brain-resident myeloid cells are thought to have a major role. To perform association tests between CHIP and AD dementia, we analyzed blood DNA sequencing data from 1,362 individuals with AD and 4,368 individuals without AD.

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Article Synopsis
  • A study analyzed over 43,000 blood genomes and discovered 7,131 recurrent non-missense somatic mutations (RNMSMs) that frequently occur in at least 50 individuals, challenging the idea that such mutations are rare and insignificant.
  • RNMSMs were found to increase with age, averaging 27 mutations in individuals around 50 years old, and were linked to inherited genetic variations affecting immune functions.
  • The presence of specific RNMSMs was associated with blood cell traits similar to the effects of inherited genetic mutations, suggesting that these somatic mutations have significant implications for human health.
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Chronic liver disease is a major public health burden worldwide. Although different aetiologies and mechanisms of liver injury exist, progression of chronic liver disease follows a common pathway of liver inflammation, injury and fibrosis. Here we examined the association between clonal haematopoiesis of indeterminate potential (CHIP) and chronic liver disease in 214,563 individuals from 4 independent cohorts with whole-exome sequencing data (Framingham Heart Study, Atherosclerosis Risk in Communities Study, UK Biobank and Mass General Brigham Biobank).

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Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point.

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Clonal hematopoiesis of indeterminate potential (CHIP) is a common form of age-related somatic mosaicism that is associated with significant morbidity and mortality. CHIP mutations can be identified in peripheral blood samples that are sequenced using approaches that cover the whole genome, the whole exome, or targeted genetic regions; however, differentiating true CHIP mutations from sequencing artifacts and germ line variants is a considerable bioinformatic challenge. We present a stepwise method that combines filtering based on sequencing metrics, variant annotation, and population-based associations to increase the accuracy of CHIP calls.

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Article Synopsis
  • Age-related changes in DNA methylation patterns in blood are linked to health issues like blood cancer and coronary artery disease (CAD), particularly through a condition called clonal hematopoiesis of indeterminate potential (CHIP).
  • The study focused on two frequently mutated genes associated with CHIP, DNMT3A and TET2, which exhibit opposite patterns of DNA methylation despite both supporting the self-renewal of hematopoietic stem cells.
  • Findings suggest that certain methylation changes connected to DNMT3A and TET2 could increase the risk for coronary artery disease, as verified by analyses in two different participant groups.
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  • - This study investigates the genetic basis of telomere length (TL) across a diverse group of 109,122 individuals from various ancestries, marking the first such analysis that includes non-European populations.
  • - Researchers identified 59 significant genetic variants linked to TL, with 20 novel associations; these findings suggest that the genetic factors influencing TL are consistent across different populations.
  • - The analysis further revealed connections between telomere length and increased cancer risk, highlighting the potential implications of telomere genetics in age-related diseases.
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Article Synopsis
  • - Human genetic studies show that shorter leukocyte telomere length (LTL) is linked to a higher risk of coronary artery disease (CAD), while the relationship between LTL and various cancers is less clear.
  • - Clonal hematopoiesis of indeterminate potential (CHIP), which involves the growth of blood cells with certain mutations, increases the risk for both blood cancers and CAD, with telomerase reverse transcriptase being a key genetic factor in CHIP.
  • - Research from the TOPMed program and UK Biobank reveals that longer genetically predicted LTL increases the likelihood of developing CHIP, which then leads to a decrease in measured LTL, providing insights into how these factors might contribute to CAD prevention.
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Introduction The purpose of our study is to determine in-hospital outcomes of acute myocardial infarction in patients with hematological malignancies and their subtypes. Method Patient data were obtained from the nationwide inpatient sample (NIS) database between the years 2009-2014. Patients with hematological cancer subtypes and acute MI (non-ST segment elevation myocardial infarction and ST-segment elevation myocardial infarction (NSTEMI/STEMI) were identified using validated international classification of diseases (ninth revision) and clinical modification (ICD-9-CM) codes.

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BACKGROUNDCurative gene therapies for sickle cell disease (SCD) are currently undergoing clinical evaluation. The occurrence of myeloid malignancies in these trials has prompted safety concerns. Individuals with SCD are predisposed to myeloid malignancies, but the underlying causes remain undefined.

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Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the 5-methylcytosine reader, , as well as in , , and . We also identified these mutations at low frequency in myelodysplastic syndrome patients.

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Clonal hematopoiesis of indeterminate potential (CHIP) is a common precursor state for blood cancers that most frequently occurs due to mutations in the DNA-methylation modifying enzymes DNMT3A or TET2. We used DNA-methylation array and whole-genome sequencing data from four cohorts together comprising 5522 persons to study the association between CHIP, epigenetic clocks, and health outcomes. CHIP was strongly associated with epigenetic age acceleration, defined as the residual after regressing epigenetic clock age on chronological age, in several clocks, ranging from 1.

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Background Presence of clonal hematopoiesis of indeterminate potential (CHIP) is associated with a higher risk of atherosclerotic cardiovascular disease, cancer, and mortality. The relationship between a healthy lifestyle and CHIP is unknown. Methods and Results This analysis included 8709 postmenopausal women (mean age, 66.

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