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  1. Article: Recent advances and challenges of rare variant association analysis in the biobank sequencing era.

    Chen, Wenan / Coombes, Brandon J / Larson, Nicholas B

    Frontiers in genetics

    2022  Volume 13, Page(s) 1014947

    Abstract: Causal variants for rare genetic diseases are often rare in the general population. Rare variants may also contribute to common complex traits and can have much larger per-allele effect sizes than common variants, although power to detect these ... ...

    Abstract Causal variants for rare genetic diseases are often rare in the general population. Rare variants may also contribute to common complex traits and can have much larger per-allele effect sizes than common variants, although power to detect these associations can be limited. Sequencing costs have steadily declined with technological advancements, making it feasible to adopt whole-exome and whole-genome profiling for large biobank-scale sample sizes. These large amounts of sequencing data provide both opportunities and challenges for rare-variant association analysis. Herein, we review the basic concepts of rare-variant analysis methods, the current state-of-the-art methods in utilizing variant annotations or external controls to improve the statistical power, and particular challenges facing rare variant analysis such as accounting for population structure, extremely unbalanced case-control design. We also review recent advances and challenges in rare variant analysis for familial sequencing data and for more complex phenotypes such as survival data. Finally, we discuss other potential directions for further methodology investigation.
    Language English
    Publishing date 2022-10-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.1014947
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Polygenic Prediction of Cellular Immune Responses to Mumps Vaccine.

    Coombes, Brandon J / Ovsyannikova, Inna G / Schaid, Daniel J / Warner, Nathaniel D / Poland, Gregory A / Kennedy, Richard B

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: In this report, we provide a follow-up analysis of a previously published genome-wide association study of host genetic variants associated with inter-individual variations in cellular immune responses to mumps vaccine. Here we report the results of a ... ...

    Abstract In this report, we provide a follow-up analysis of a previously published genome-wide association study of host genetic variants associated with inter-individual variations in cellular immune responses to mumps vaccine. Here we report the results of a polygenic score (PGS) analysis showing how common variants can predict mumps vaccine response. We found higher PGS for IFNγ, IL-2, and TNFα were predictive of higher post-vaccine IFNγ (p-value = 2e-6), IL-2 (p = 2e-7), and TNFα (p = 0.004) levels, respectively. Control of immune responses after vaccination is complex and polygenic in nature. Our results suggest that the PGS-based approach enables better capture of the combined genetic effects that contribute to mumps vaccine-induced immunity, potentially offering a more comprehensive understanding than traditional single-variant GWAS. This approach will likely have broad utility in studying genetic control of immune responses to other vaccines and to infectious diseases.
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.02.23.24303277
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Measuring the exposome in bipolar disorder.

    Ercis, Mete / Ozerdem, Aysegul / Veldic, Marin / Singh, Balwinder / Coombes, Brandon J / Biernacka, Joanna M / Lazaridis, Konstantinos N / Frye, Mark A

    Bipolar disorders

    2024  

    Language English
    Publishing date 2024-05-01
    Publishing country Denmark
    Document type Journal Article
    ZDB-ID 1472242-2
    ISSN 1399-5618 ; 1398-5647
    ISSN (online) 1399-5618
    ISSN 1398-5647
    DOI 10.1111/bdi.13443
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Differential Serum Levels of CACNA1C, Circadian Rhythm and Stress Response Molecules in Subjects with Bipolar Disorder: Associations with Genetic and Clinical Factors.

    Allen, Obie / Coombes, Brandon J / Pazdernik, Vanessa / Gisabella, Barbara / Hartley, Joshua / Biernacka, Joanna M / Frye, Mark A / Markota, Matej / Pantazopoulos, Harry

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Background: Many patients with bipolar disorder (BD) do not respond to or have difficulties tolerating lithium and/or other mood stabilizing agents. There is a need for personalized treatments based on biomarkers in guiding treatment options. The ... ...

    Abstract Background: Many patients with bipolar disorder (BD) do not respond to or have difficulties tolerating lithium and/or other mood stabilizing agents. There is a need for personalized treatments based on biomarkers in guiding treatment options. The calcium voltage-gated channel CACNA1C is a promising candidate for developing personalized treatments. CACNA1C is implicated in BD by genome-wide association studies and several lines of evidence suggest that targeting L-type calcium channels could be an effective treatment strategy. However, before such individualized treatments can be pursued, biomarkers predicting treatment response need to be developed.
    Methods: As a first step in testing the hypothesis that CACNA1C genotype is associated with serum levels of CACNA1C, we conducted ELISA measures on serum samples from 100 subjects with BD and 100 control subjects.
    Results: We observed significantly higher CACNA1C (p<0.01) protein levels in subjects with BD. The risk SNP (rs11062170) showed functional significance as subjects homozygous for the risk allele (CC) had significantly greater CACNA1C protein levels compared to subjects with one (p=0.013) or no copies (p=0.009). We observed higher somatostatin (SST) (p<0.003) protein levels and lower levels of the clock protein ARTNL (p<0.03) and stress signaling factor corticotrophin releasing hormone (CRH) (p<0.001) in BD. SST and PER2 protein levels were associated with both alcohol dependence and lithium response.
    Conclusions: Our findings represent the first evidence for increased serum levels of CACNA1C in BD. Along with altered levels of SST, ARNTL, and CRH our findings suggest CACNA1C is associated with circadian rhythm and stress response disturbances in BD.
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.04.11.24305678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Genetic contributions to bipolar disorder: current status and future directions.

    O'Connell, Kevin S / Coombes, Brandon J

    Psychological medicine

    2021  Volume 51, Issue 13, Page(s) 2156–2167

    Abstract: Bipolar disorder (BD) is a highly heritable mental disorder and is estimated to affect about 50 million people worldwide. Our understanding of the genetic etiology of BD has greatly increased in recent years with advances in technology and methodology as ...

    Abstract Bipolar disorder (BD) is a highly heritable mental disorder and is estimated to affect about 50 million people worldwide. Our understanding of the genetic etiology of BD has greatly increased in recent years with advances in technology and methodology as well as the adoption of international consortiums and large population-based biobanks. It is clear that BD is also highly heterogeneous and polygenic and shows substantial genetic overlap with other psychiatric disorders. Genetic studies of BD suggest that the number of associated loci is expected to substantially increase in larger future studies and with it, improved genetic prediction of the disorder. Still, a number of challenges remain to fully characterize the genetic architecture of BD. First among these is the need to incorporate ancestrally-diverse samples to move research away from a Eurocentric bias that has the potential to exacerbate health disparities already seen in BD. Furthermore, incorporation of population biobanks, registry data, and electronic health records will be required to increase the sample size necessary for continued genetic discovery, while increased deep phenotyping is necessary to elucidate subtypes within BD. Lastly, the role of rare variation in BD remains to be determined. Meeting these challenges will enable improved identification of causal variants for the disorder and also allow for equitable future clinical applications of both genetic risk prediction and therapeutic interventions.
    MeSH term(s) Bipolar Disorder/epidemiology ; Bipolar Disorder/genetics ; Comorbidity ; Genome-Wide Association Study/trends ; Humans ; Multifactorial Inheritance/genetics ; Pharmacogenetics/trends ; Psychotic Disorders/genetics
    Language English
    Publishing date 2021-04-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 217420-0
    ISSN 1469-8978 ; 0033-2917
    ISSN (online) 1469-8978
    ISSN 0033-2917
    DOI 10.1017/S0033291721001252
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Prevalence and associations of multiple hypnotic prescriptions in a clinical sample.

    Kolla, Bhanu Prakash / Mansukhani, Meghna P / Chakravorty, Subhajit / Frank, Jacob A / Coombes, Brandon J

    Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine

    2023  Volume 20, Issue 5, Page(s) 793–800

    Abstract: Study objectives: We examined the prevalence of multiple hypnotic prescriptions and its association with clinical and demographic characteristics from the electronic health record (EHR) in the Mayo Clinic Biobank.: Methods: Adult participants ... ...

    Abstract Study objectives: We examined the prevalence of multiple hypnotic prescriptions and its association with clinical and demographic characteristics from the electronic health record (EHR) in the Mayo Clinic Biobank.
    Methods: Adult participants enrolled in the Mayo Clinic Biobank with an EHR number of ≥ 1 year were included (n = 52,940). Clinical and demographic characteristics were compared between participants who were and were not prescribed any hypnotic approved for insomnia by the US Food and Drug Administration and/or trazodone and in those prescribed a single vs multiple (≥ 2) hypnotics. A phenotype-based, phenome-wide association study (PheWAS) examining associations between hypnotic prescriptions and diagnoses across the EHR was performed adjusting for demographic and other confounders.
    Results: A total of 17,662 (33%) participants were prescribed at least 1 hypnotic and 5,331 (10%) received ≥ 2 hypnotics. Participants who were prescribed a hypnotic were more likely to be older, female, White, with a longer EHR, and a greater number of diagnostic codes (all
    Conclusions: Receiving multiple hypnotic prescriptions is common and associated with a greater prevalence of psychiatric, chronic pain, and sleep-related movement disorders. Future studies should examine potential genetic associations with multiple hypnotic prescriptions to personalize treatments for chronic insomnia.
    Citation: Kolla BP, Mansukhani MP, Chakravorty S, Frank JA, Coombes BJ. Prevalence and associations of multiple hypnotic prescriptions in a clinical sample.
    MeSH term(s) Humans ; Male ; Female ; Hypnotics and Sedatives/therapeutic use ; Middle Aged ; Prevalence ; Sleep Initiation and Maintenance Disorders/drug therapy ; Sleep Initiation and Maintenance Disorders/epidemiology ; Adult ; Aged ; Electronic Health Records/statistics & numerical data ; Drug Prescriptions/statistics & numerical data
    Chemical Substances Hypnotics and Sedatives
    Language English
    Publishing date 2023-12-28
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2397213-0
    ISSN 1550-9397 ; 1550-9389
    ISSN (online) 1550-9397
    ISSN 1550-9389
    DOI 10.5664/jcsm.10988
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Application of the parametric bootstrap for gene-set analysis of gene-environment interactions.

    Coombes, Brandon J / Biernacka, Joanna M

    European journal of human genetics : EJHG

    2018  Volume 26, Issue 11, Page(s) 1679–1686

    Abstract: Testing for gene-environment (GE) interactions in a gene-set defined by a biological pathway can help us understand the interplay between genes and environments and provide insight into disease etiology. A self-contained gene-set analysis can be ... ...

    Abstract Testing for gene-environment (GE) interactions in a gene-set defined by a biological pathway can help us understand the interplay between genes and environments and provide insight into disease etiology. A self-contained gene-set analysis can be performed by combining gene-level p-values using approaches such as the Gamma Method. In a gene-set analysis of genetic main effects, permutation approaches are commonly used to avoid inflated probability of a type 1 error caused by correlation of genes within the same pathway. However, when testing interaction effects, it is typically not possible to construct an exact permutation test. We therefore propose using a parametric bootstrap. For testing an interaction term, this approach requires fitting the null model, which only contains main effects; however, for a gene-set GE interaction model, the number of main effects can be large and therefore they may not be estimable. To estimate the main effects of SNPs in a gene-set, we propose modeling them as random effects. We then repetitively simulate null data from this model and analyze it to generate the null distribution of gene-set GE p-values, allowing for an empirical assessment of significance of the global GE effect in the gene-set of interest. Through simulation, we demonstrate that this approach maintains correct type I error, and is well powered to detect GE interactions. We apply our method to test whether the association of obesity with bipolar disorder (BD) is modified by genetic variation in the Wnt signaling pathway.
    MeSH term(s) Algorithms ; Bipolar Disorder/genetics ; Gene-Environment Interaction ; Genome-Wide Association Study/methods ; Humans ; Models, Genetic ; Obesity/genetics ; Polymorphism, Single Nucleotide
    Language English
    Publishing date 2018-08-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1141470-4
    ISSN 1476-5438 ; 1018-4813
    ISSN (online) 1476-5438
    ISSN 1018-4813
    DOI 10.1038/s41431-018-0236-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Patient safety related incidents and daylight savings time transitions.

    Kolla, Bhanu Prakash / Coombes, Brandon J / Morgenthaler, Timothy I / Mansukhani, Meghna P

    Journal of general internal medicine

    2021  Volume 36, Issue 4, Page(s) 1121

    MeSH term(s) Circadian Rhythm ; Humans ; Patient Safety ; Seasons
    Language English
    Publishing date 2021-01-26
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 639008-0
    ISSN 1525-1497 ; 0884-8734
    ISSN (online) 1525-1497
    ISSN 0884-8734
    DOI 10.1007/s11606-021-06602-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Molecular mechanisms involved in alcohol craving, IRF3, and endoplasmic reticulum stress: a multi-omics study.

    Ho, Ming-Fen / Zhang, Cheng / Moon, Irene / Tuncturk, Mustafa / Coombes, Brandon J / Biernacka, Joanna / Skime, Michelle / Oesterle, Tyler S / Karpyak, Victor M / Li, Hu / Weinshilboum, Richard

    Translational psychiatry

    2024  Volume 14, Issue 1, Page(s) 165

    Abstract: Alcohol use disorder (AUD) is the most prevalent substance use disorder worldwide. Acamprosate and naltrexone are anti-craving drugs used in AUD pharmacotherapy. However, molecular mechanisms underlying their anti-craving effect remain unclear. This ... ...

    Abstract Alcohol use disorder (AUD) is the most prevalent substance use disorder worldwide. Acamprosate and naltrexone are anti-craving drugs used in AUD pharmacotherapy. However, molecular mechanisms underlying their anti-craving effect remain unclear. This study utilized a patient-derived induced pluripotent stem cell (iPSC)-based model system and anti-craving drugs that are used to treat AUD as "molecular probes" to identify possible mechanisms associated with alcohol craving. We examined the pathophysiology of craving and anti-craving drugs by performing functional genomics studies using iPSC-derived astrocytes and next-generation sequencing. Specifically, RNA sequencing performed using peripheral blood mononuclear cells from AUD patients with extreme values for alcohol craving intensity prior to treatment showed that inflammation-related pathways were highly associated with alcohol cravings. We then performed a genome-wide assessment of chromatin accessibility and gene expression profiles of induced iPSC-derived astrocytes in response to ethanol or anti-craving drugs. Those experiments identified drug-dependent epigenomic signatures, with IRF3 as the most significantly enriched motif in chromatin accessible regions. Furthermore, the activation of IRF3 was associated with ethanol-induced endoplasmic reticulum (ER) stress which could be attenuated by anti-craving drugs, suggesting that ER stress attenuation might be a target for anti-craving agents. In conclusion, we found that craving intensity was associated with alcohol consumption and treatment outcomes. Our functional genomic studies suggest possible relationships among craving, ER stress, IRF3 and the actions of anti-craving drugs.
    MeSH term(s) Humans ; Craving/physiology ; Leukocytes, Mononuclear ; Multiomics ; Alcoholism/complications ; Alcohol Drinking ; Ethanol ; Chromatin ; Interferon Regulatory Factor-3/pharmacology
    Chemical Substances Ethanol (3K9958V90M) ; Chromatin ; IRF3 protein, human ; Interferon Regulatory Factor-3
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-024-02880-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A principal component approach to improve association testing with polygenic risk scores

    Coombes, Brandon J. / Biernacka, Joanna M.

    bioRxiv

    Abstract: Polygenic risk scores (PRSs) have become an increasingly popular approach for demonstrating polygenic influences on complex traits and for establishing common polygenic signals between different traits. PRSs are typically constructed using pruning and ... ...

    Abstract Polygenic risk scores (PRSs) have become an increasingly popular approach for demonstrating polygenic influences on complex traits and for establishing common polygenic signals between different traits. PRSs are typically constructed using pruning and thresholding (P+T), but the best choice of parameters is uncertain; thus multiple settings are used and the best is chosen. This optimization can lead to inflated type I error. To correct this, permutation procedures can be used but they can be computationally intensive. Alternatively, a single parameter setting can be chosen a priori for the PRS, but choosing suboptimal settings result in loss of power. We propose computing PRSs under a range of parameter settings, performing principal component analysis (PCA) on the resulting set of PRSs, and using the first PRS-PC in association tests. The first PC reweights the variants included in the PRS with new weights to achieve maximum variation over all PRS settings used. Using simulations, we compare the performance of the proposed PRS-PCA approach with a permutation test and a priori selection of p-value threshold. We then apply the approach to the Mayo Clinic Bipolar Disorder Biobank study to test for PRS association with psychosis using a variety of PRSs constructed from summary statistics from the largest studies of psychiatric disorders and related traits. The PRS-PCA approach is simple to implement, outperforms the other strategies in most scenarios, and provides an unbiased estimate of prediction performance. We therefore recommend it to be used PRS association studies where multiple phenotypes and/or PRSs are being investigated.
    Keywords covid19
    Publisher BioRxiv
    Document type Article ; Online
    DOI 10.1101/847020
    Database COVID19

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