Publications by authors named "Glenn A Doyle"

Background: Schizophrenia is a mental disorder that causes considerable morbidity, whose risk largely results from genetic factors. Setd1a is a gene implicated in schizophrenia.

Objective: To study the gene expression changes found in heterozygous Setd1a knockout mice in order to gain useful insight into schizophrenia pathogenesis.

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Background: 5XFAD humanized mutant mice and Trem2 knockout (T2KO) mice are two mouse models relevant to the study of Alzheimer's disease (AD)-related pathology.

Objective: To determine hippocampal transcriptomic and polyadenylation site usage alterations caused by genetic mutations engineered in 5XFAD and T2KO mice.

Methods: Employing a publicly available single-nucleus RNA sequencing dataset, we used Seurat and Sierra analytic programs to identify differentially expressed genes (DEGs) and differential transcript usage (DTU), respectively, in hippocampal cell types from each of the two mouse models.

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Studies of the genetic heritability of schizophrenia and bipolar disorder examining single nucleotide polymorphisms (SNPs) and copy number variations have failed to explain a large portion of the genetic liability, resulting in substantial missing heritability. Long interspersed element 1 (L1) retrotransposons are a type of inherited polymorphic variant that may be associated with risk for schizophrenia and bipolar disorder. We performed REBELseq, a genome wide assay for L1 sequences, on DNA from male and female persons with schizophrenia and controls ( = 63 each) to identify inherited L1 insertions and validated priority insertions.

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A dataset of single-nucleus RNA sequencing (snRNAseq) data was analyzed using Seurat, Sierra, and Ingenuity Pathway Analysis (IPA) programs to assess differentially expressed genes (DEGs) and differential transcript usage (DTU) in mouse hippocampal cell types. Seurat identified DEGs between the wild type (WT) and Apoe knockout (EKO) mice. IPA identified 11 statistically significant canonical pathways in >1 cell type.

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Article Synopsis
  • Prescription opioids are often used to help people with severe pain, but some might end up having problems with using them too much (that's called opioid use disorder or OUD).
  • Researchers are studying how different health and genetic factors influence who might develop OUD, using a large collection of health data.
  • By understanding these factors better, doctors can find patients at risk and suggest other types of treatments that don't involve opioids.
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Background: The functional mechanism is unknown for many genetic variants associated with substance use disorder phenotypes. Rs678849, an intronic variant in the delta-opioid receptor gene (), has been found to predict regional brain volume, addiction risk, and the efficacy of buprenorphine/naloxone in treating opioid use disorder. The variant has also been implicated as an expression quantitative trait locus (eQTL) for several genes.

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Objective: To determine if long interspersed element-1 (L1) retrotransposons convey risk for idiopathic temporal lobe epilepsy (TLE).

Methods: Surgically resected temporal cortex from individuals with TLE (N = 33) and postmortem temporal cortex from individuals with no known neurological disease (N = 33) were analyzed for L1 content by Restriction Enzyme Based Enriched L1Hs sequencing (REBELseq). Expression of three KCNIP4 splice variants was assessed by droplet digital PCR (ddPCR).

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Importance: Electronic health records are a potentially valuable source of information for identifying patients with opioid use disorder (OUD).

Objective: To evaluate whether proxy measures from electronic health record data can be used reliably to identify patients with probable OUD based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) criteria.

Design, Setting, And Participants: This retrospective cross-sectional study analyzed individuals within the Geisinger health system who were prescribed opioids between December 31, 2000, and May 31, 2017, using a mixed-methods approach.

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The incidence of neonatal opioid withdrawal syndrome (NOWS) has increased substantially in the setting of the opioid epidemic, a major public health problem in the United States. At present, NOWS has commonly used assessment and treatment protocols, but new protocols have questioned old practices. However, because of limited access to opioid use disorder (OUD) treatment and socioeconomic factors, many pregnant (and postpartum) women with OUD do not receive treatment.

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Long interspersed element-1 retrotransposons (LINE-1 or L1) are ∼6 kb mobile DNA elements implicated in the origins of many Mendelian and complex diseases. The actively retrotransposing L1s are mostly limited to the L1 human specific (L1Hs) transcriptional active (Ta) subfamily. In this manuscript, we present REBELseq as a method for the construction of Ta subfamily L1Hs-enriched next-generation sequencing libraries and bioinformatic identification.

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Many patients with opioid use disorder do not have successful outcomes during treatment but the underlying reasons are not well understood. An OPRD1 variant (rs678849) was previously associated with methadone and buprenorphine efficacy in African-Americans with opioid use disorder. The objective of this study was to determine if the effect of rs678849 on opioid use disorder treatment outcome could be replicated in an independent population.

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Background: Currently, no pharmacogenetic tests for selecting an opioid-dependence pharmacotherapy have been approved by the US Food and Drug Administration.

Objectives: Determine the effects of variants in 11 genes on dropout rate and dose in patients receiving methadone or buprenorphine/naloxone (ClinicalTrials.gov Identifier: NCT00315341).

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Whereas some rare genetic variants convey high risk for schizophrenia (SZ), common alleles conveying even moderate risk remain elusive. Long interspersed element-1s (L1) are mobile retrotransposons comprising ~17% of the human genome. L1 retrotransposition can cause somatic mosaicism during neurodevelopment by insertional mutagenesis.

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Introduction: Long interspersed element (LINE)-1 (L1) is a type of retrotransposon capable of mobilizing into new genomic locations. Often studied in Mendelian diseases or cancer, L1s may also cause somatic mutation in the developing central nervous system. Recent reports showed L1 transcription was activated in brains of cocaine-treated mice, and L1 retrotransposition was increased in cocaine-treated neuronal cell cultures.

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Background: The common CHRNA5 mis-sense coding single-nucleotide polymorphism (SNP) rs16969968:G>A (D398N) has repeatedly been shown to confer risk for heavy smoking in individuals who carry the 'A' allele (encoding the 398N amino acid). The mis-sense SNP has a minor allele frequency of ∼40% in European-Americans, but only ∼7% in African-Americans (http://www.ncbi.

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The opioid receptor family is involved in the development and maintenance of drug addiction. The mu-opioid receptor (MOR) mediates the rewarding effects of multiple drugs, including opiates and cocaine. A number of proteins interact with MOR, potentially modulating MOR function and altering the physiological consequences of drug use.

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Objectives: Genome-wide association studies (GWAS) recently identified ankyrin 3 (ANK3) as a candidate gene for bipolar disorder type I (BPD-I). Because the GWAS suggested multiple common haplotypes associated with BPD-I (with odds ratio ~1.3), we hypothesized that rare variants within these common haplotypes might increase risk for BPD-I.

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Genome-wide association studies implicate variations in CHRNA5 and CHRNA3 as being associated with nicotine addiction (NA). Multiple common haplotypes ("risk", "mixed" and "protective") exist in Europeans; however, high linkage disequilibrium between variations in CHRNA5 and CHRNA3 makes assigning causative allele(s) for NA difficult through genotyping experiments alone. We investigated whether CHRNA5 or CHRNA3 promoter haplotypes, associated previously with NA, might influence allelic expression levels.

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Linkage studies in bipolar disorder (BPD) suggest that a susceptibility locus exists on chromosome 18p11. The myo-inositol monophosphatase 2 gene (IMPA2) maps to this genomic region. Myo-inositol monophosphatase dephosphorylates inositol monophosphate, regenerating free inositol.

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