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  1. Article ; Online: Pleiotropic loci for cannabis use disorder severity in multi-ancestry high-risk populations.

    Peng, Qian / Wilhelmsen, Kirk C / Ehlers, Cindy L

    Molecular and cellular neurosciences

    2023  Volume 125, Page(s) 103852

    Abstract: Cannabis use disorder (CUD) is common and has in part a genetic basis. The risk factors underlying its development likely involve multiple genes that are polygenetic and interact with each other and the environment to ultimately lead to the disorder. Co- ... ...

    Abstract Cannabis use disorder (CUD) is common and has in part a genetic basis. The risk factors underlying its development likely involve multiple genes that are polygenetic and interact with each other and the environment to ultimately lead to the disorder. Co-morbidity and genetic correlations have been identified between CUD and other disorders and traits in select populations primarily of European descent. If two or more traits, such as CUD and another disorder, are affected by the same genetic locus, they are said to be pleiotropic. The present study aimed to identify specific pleiotropic loci for the severity level of CUD in three high-risk population cohorts: American Indians (AI), Mexican Americans (MA), and European Americans (EA). Using a previously developed computational method based on a machine learning technique, we leveraged the entire GWAS catalog and identified 114, 119, and 165 potentially pleiotropic variants for CUD severity in AI, MA, and EA respectively. Ten pleiotropic loci were shared between the cohorts although the exact variants from each cohort differed. While majority of the pleiotropic genes were distinct in each cohort, they converged on numerous enriched biological pathways. The gene ontology terms associated with the pleiotropic genes were predominately related to synaptic functions and neurodevelopment. Notable pathways included Wnt/β-catenin signaling, lipoprotein assembly, response to UV radiation, and components of the complement system. The pleiotropic genes were the most significantly differentially expressed in frontal cortex and coronary artery, up-regulated in adipose tissue, and down-regulated in testis, prostate, and ovary. They were significantly up-regulated in most brain tissues but were down-regulated in the cerebellum and hypothalamus. Our study is the first to attempt a large-scale pleiotropy detection scan for CUD severity. Our findings suggest that the different population cohorts may have distinct genetic factors for CUD, however they share pleiotropic genes from underlying pathways related to Alzheimer's disease, neuroplasticity, immune response, and reproductive endocrine systems.
    MeSH term(s) Male ; Female ; Humans ; Marijuana Abuse/diagnosis ; Marijuana Abuse/epidemiology ; Risk Factors ; Phenotype
    Language English
    Publishing date 2023-04-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1046640-x
    ISSN 1095-9327 ; 1044-7431
    ISSN (online) 1095-9327
    ISSN 1044-7431
    DOI 10.1016/j.mcn.2023.103852
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The feasibility of genetic dissection of endophenotypes.

    Wilhelmsen, Kirk C

    Psychophysiology

    2014  Volume 51, Issue 12, Page(s) 1337–1338

    Abstract: Endophenotypes are traits that proceed and predict traits of interest. In this special issue, there are a series of papers on genomic analysis of 17 physiologic traits measured by the Minnesota Center for Twin and Family Research that are thought to be ... ...

    Abstract Endophenotypes are traits that proceed and predict traits of interest. In this special issue, there are a series of papers on genomic analysis of 17 physiologic traits measured by the Minnesota Center for Twin and Family Research that are thought to be endophenotypes for behavioral clinical traits such as addiction and schizophrenia. Because these 17 traits, which can be precisely defined and measured throughout the life of subjects, display variation in normal subjects and are heritable, it is thought that they may be more tractable to genetic dissection. These articles show that these 17 endophenotypes appear to have a similar architecture to the vast majority of traits with complex modes of inheritance. The study identified several genetic loci that play a role in these endophenotypes. It appears that further progress in understanding the genetics of these 17 endophenotypes can be made with an expanded data set.
    MeSH term(s) Endophenotypes ; Genetic Loci ; Genetic Variation ; Humans ; Twin Studies as Topic
    Language English
    Publishing date 2014-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209486-1
    ISSN 1540-5958 ; 0048-5772
    ISSN (online) 1540-5958
    ISSN 0048-5772
    DOI 10.1111/psyp.12366
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  3. Article ; Online: Common genetic substrates of alcohol and substance use disorder severity revealed by pleiotropy detection against GWAS catalog in two populations.

    Peng, Qian / Wilhelmsen, Kirk C / Ehlers, Cindy L

    Addiction biology

    2020  Volume 26, Issue 1, Page(s) e12877

    Abstract: Alcohol and other substance use disorders (AUD and SUD) are complex diseases that are postulated to have a polygenic inheritance and are often comorbid with other disorders. The comorbidities may arise partially through genetic pleiotropy. Identification ...

    Abstract Alcohol and other substance use disorders (AUD and SUD) are complex diseases that are postulated to have a polygenic inheritance and are often comorbid with other disorders. The comorbidities may arise partially through genetic pleiotropy. Identification of specific gene variants accounting for large parts of the variance in these disorders has yet to be accomplished. We describe a flexible strategy that takes a variant-trait association database and determines if a subset of disease/straits are potentially pleiotropic with the disorder under study. We demonstrate its usage in a study of use disorders in two independent cohorts: alcohol, stimulants, cannabis (CUD), and multi-substance use disorders (MSUD) in American Indians (AI) and AUD and CUD in Mexican Americans (MA). Using a machine learning method with variants in GWAS catalog, we identified 229 to 246 pleiotropic variants for AI and 153 to 160 for MA for each SUD. Inflammation was the most enriched for MSUD and AUD in AIs. Neurological disorder was the most significantly enriched for CUD in both cohorts, and for AUD and stimulants in AIs. Of the select pleiotropic genes shared among substances-cohorts, multiple biological pathways implicated in SUD and other psychiatric disorders were enriched, including neurotrophic factors, immune responses, extracellular matrix, and circadian regulation. Shared pleiotropic genes were significantly up-regulated in brain regions playing important roles in SUD, down-regulated in esophagus mucosa, and differentially regulated in adrenal gland. This study fills a gap for pleiotropy detection in understudied admixed populations and identifies pleiotropic variants that may be potential targets of interest for SUD.
    MeSH term(s) Adult ; Alcoholism/genetics ; Female ; Genetic Pleiotropy ; Genome-Wide Association Study ; Humans ; Indians, North American/genetics ; Machine Learning ; Male ; Mexican Americans/genetics ; Substance-Related Disorders/genetics
    Language English
    Publishing date 2020-02-06
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1324314-7
    ISSN 1369-1600 ; 1355-6215
    ISSN (online) 1369-1600
    ISSN 1355-6215
    DOI 10.1111/adb.12877
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  4. Article ; Online: Significance of genomic rearrangements in epilepsy.

    Wilhelmsen, Kirk C

    Archives of neurology

    2012  Volume 69, Issue 3, Page(s) 305–307

    MeSH term(s) Epilepsy/genetics ; Female ; Gene Dosage ; Humans ; Male
    Language English
    Publishing date 2012-03
    Publishing country United States
    Document type Comment ; Editorial
    ZDB-ID 80049-1
    ISSN 1538-3687 ; 0003-9942
    ISSN (online) 1538-3687
    ISSN 0003-9942
    DOI 10.1001/archneurol.2011.3256
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  5. Article: Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits.

    Bost, Darius M / Bizon, Chris / Tilson, Jeffrey L / Filer, Dayne L / Gizer, Ian R / Wilhelmsen, Kirk C

    Complex psychiatry

    2022  Volume 8, Issue 1-2, Page(s) 35–46

    Abstract: Introduction: Genome-wide association studies (GWAS) have played a critical role in identifying many thousands of loci associated with complex phenotypes and diseases. This has led to several translations of novel disease susceptibility genes into drug ... ...

    Abstract Introduction: Genome-wide association studies (GWAS) have played a critical role in identifying many thousands of loci associated with complex phenotypes and diseases. This has led to several translations of novel disease susceptibility genes into drug targets and care. This however has not been the case for analyses where sample sizes are small, which suffer from multiple comparisons testing. The present study examined the statistical impact of combining a burden test methodology, PrediXcan, with a multimodel meta-analysis, cross phenotype association (CPASSOC).
    Methods: The analysis was conducted on 5 addiction traits: family alcoholism, cannabis craving, alcohol, nicotine, and cannabis dependence and 10 brain tissues: anterior cingulate cortex BA24, cerebellar hemisphere, cortex, hippocampus, nucleus accumbens basal ganglia, caudate basal ganglia, cerebellum, frontal cortex BA9, hypothalamus, and putamen basal ganglia. Our sample consisted of 1,640 participants from the University of California, San Francisco (UCSF) Family Alcoholism Study. Genotypes were obtained through low pass whole genome sequencing and the use of Thunder, a linkage disequilibrium variant caller.
    Results: The post-PrediXcan, gene-phenotype association without aggregation resulted in 2 significant results,
    Discussion: Given the relatively small size of the cohort, this multimodel approach was able to find over a dozen significant associations between predicted gene expression and addiction traits. Of our findings, 8 had prior associations with similar phenotypes through investigation of the GWAS Atlas. With the onset of improved transcriptome data, this approach should increase in efficacy.
    Language English
    Publishing date 2022-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 3021167-0
    ISSN 2673-298X ; 2673-3005
    ISSN (online) 2673-298X
    ISSN 2673-3005
    DOI 10.1159/000523748
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  6. Article ; Online: A greedy regression algorithm with coarse weights offers novel advantages.

    Jeffries, Clark D / Ford, John R / Tilson, Jeffrey L / Perkins, Diana O / Bost, Darius M / Filer, Dayne L / Wilhelmsen, Kirk C

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 5440

    Abstract: Regularized regression analysis is a mature analytic approach to identify weighted sums of variables predicting outcomes. We present a novel Coarse Approximation Linear Function (CALF) to frugally select important predictors and build simple but powerful ...

    Abstract Regularized regression analysis is a mature analytic approach to identify weighted sums of variables predicting outcomes. We present a novel Coarse Approximation Linear Function (CALF) to frugally select important predictors and build simple but powerful predictive models. CALF is a linear regression strategy applied to normalized data that uses nonzero weights + 1 or - 1. Qualitative (linearly invariant) metrics to be optimized can be (for binary response) Welch (Student) t-test p-value or area under curve (AUC) of receiver operating characteristic, or (for real response) Pearson correlation. Predictor weighting is critically important when developing risk prediction models. While counterintuitive, it is a fact that qualitative metrics can favor CALF with ± 1 weights over algorithms producing real number weights. Moreover, while regression methods may be expected to change most or all weight values upon even small changes in input data (e.g., discarding a single subject of hundreds) CALF weights generally do not so change. Similarly, some regression methods applied to collinear or nearly collinear variables yield unpredictable magnitude or the direction (in p-space) of the weights as a vector. In contrast, with CALF if some predictors are linearly dependent or nearly so, CALF simply chooses at most one (the most informative, if any) and ignores the others, thus avoiding the inclusion of two or more collinear variables in the model.
    MeSH term(s) Algorithms ; Area Under Curve ; Humans ; Linear Models ; ROC Curve
    Language English
    Publishing date 2022-03-31
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-09415-2
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  7. Article ; Online: More Similar than Different: Memory, Executive Functions, Cortical Thickness, and Glucose Metabolism in Biomarker-Positive Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia.

    Keith, Cierra M / Haut, Marc W / D'Haese, Pierre-François / Mehta, Rashi I / Vieira Ligo Teixeira, Camila / Coleman, Michelle M / Miller, Mark / Ward, Melanie / Navia, R Osvaldo / Marano, Gary / Wang, Xiaofei / McCuddy, William T / Lindberg, Katharine / Wilhelmsen, Kirk C

    Journal of Alzheimer's disease reports

    2024  Volume 8, Issue 1, Page(s) 57–73

    Abstract: Background: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are typically associated with very different clinical and neuroanatomical presentations; however, there is increasing recognition of similarities.: Objective: ...

    Abstract Background: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are typically associated with very different clinical and neuroanatomical presentations; however, there is increasing recognition of similarities.
    Objective: To examine memory and executive functions, as well as cortical thickness, and glucose metabolism in AD and bvFTD signature brain regions.
    Methods: We compared differences in a group of biomarker-defined participants with Alzheimer's disease and a group of clinically diagnosed participants with bvFTD. These groups were also contrasted with healthy controls (HC).
    Results: As expected, memory functions were generally more impaired in AD, followed by bvFTD, and both clinical groups performed more poorly than the HC group. Executive function measures were similar in AD compared to bvFTD for motor sequencing and go/no-go, but bvFTD had more difficulty with a set shifting task. Participants with AD showed thinner cortex and lower glucose metabolism in the angular gyrus compared to bvFTD. Participants with bvFTD had thinner cortex in the insula and temporal pole relative to AD and healthy controls, but otherwise the two clinical groups were similar for other frontal and temporal signature regions.
    Conclusions: Overall, the results of this study highlight more similarities than differences between AD and bvFTD in terms of cognitive functions, cortical thickness, and glucose metabolism. Further research is needed to better understand the mechanisms mediating this overlap and how these relationships evolve longitudinally.
    Language English
    Publishing date 2024-01-18
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2542-4823
    ISSN (online) 2542-4823
    DOI 10.3233/ADR-230049
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  8. Article ; Online: SMNN: batch effect correction for single-cell RNA-seq data via supervised mutual nearest neighbor detection.

    Yang, Yuchen / Li, Gang / Qian, Huijun / Wilhelmsen, Kirk C / Shen, Yin / Li, Yun

    Briefings in bioinformatics

    2020  Volume 22, Issue 3

    Abstract: Batch effect correction has been recognized to be indispensable when integrating single-cell RNA sequencing (scRNA-seq) data from multiple batches. State-of-the-art methods ignore single-cell cluster label information, but such information can improve ... ...

    Abstract Batch effect correction has been recognized to be indispensable when integrating single-cell RNA sequencing (scRNA-seq) data from multiple batches. State-of-the-art methods ignore single-cell cluster label information, but such information can improve the effectiveness of batch effect correction, particularly under realistic scenarios where biological differences are not orthogonal to batch effects. To address this issue, we propose SMNN for batch effect correction of scRNA-seq data via supervised mutual nearest neighbor detection. Our extensive evaluations in simulated and real datasets show that SMNN provides improved merging within the corresponding cell types across batches, leading to reduced differentiation across batches over MNN, Seurat v3 and LIGER. Furthermore, SMNN retains more cell-type-specific features, partially manifested by differentially expressed genes identified between cell types after SMNN correction being biologically more relevant, with precision improving by up to 841.0%.
    MeSH term(s) Algorithms ; Cluster Analysis ; Databases, Nucleic Acid ; Humans ; RNA-Seq ; Single-Cell Analysis
    Language English
    Publishing date 2020-06-25
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbaa097
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  9. Article ; Online: Indexing the 'dark side of addiction': substance-induced affective symptoms and alcohol use disorders.

    Ehlers, Cindy L / Gilder, David A / Gizer, Ian R / Wilhelmsen, Kirk C

    Addiction (Abingdon, England)

    2018  Volume 114, Issue 1, Page(s) 139–149

    Abstract: Background and aims: The emergence of negative affective symptoms during the course of alcohol use disorders (AUDs) (e.g. 'dark side' symptoms) has been suggested theoretically; however, the description of their occurrence is limited. This study ... ...

    Abstract Background and aims: The emergence of negative affective symptoms during the course of alcohol use disorders (AUDs) (e.g. 'dark side' symptoms) has been suggested theoretically; however, the description of their occurrence is limited. This study operationalized two negative affect symptoms and tested the strength of association between these phenotypes and (1) indicators of the clinical course of the severity of AUD, (2) comorbid Axis I psychiatric disorders, suicidal behaviors and trait neuroticism and (3) whether participants reported drinking to relieve the negative affective symptoms.
    Design: A retrospective cross-sectional study was used to evaluate associations, using logistic regression, between the two negative affective symptoms and clinical measures of AUD severity and progression as well as comorbidity with other psychiatric disorders and conditions, adjusted for demographic characteristics.
    Setting: US community-based studies.
    Participants: A total of 2568 individuals with AUDs obtained from larger population studies that targeted individuals of European American (n = 1663), Mexican American and American Indian (n = 905) ancestry.
    Measurements: Semi-Structured Assessment for the Genetics of Alcoholism was used to ascertain the two 'dark side' phenotypes, clinical diagnoses, the clinical course of AUD and associated symptoms. The two phenotypes were: (1) being anxious or depressed when trying to cut down or stop drinking and (2) experiencing disabling depression for more than 24 hours while drinking.
    Findings: Both phenotypes were found to be rare in mild and moderate use disorder and highly prevalent in severe AUDs. Having an independent anxiety or affective disorder and elevated scores on trait neuroticism were also associated significantly with the occurrence of both symptoms, as was alcohol 'craving', elevated treatment-seeking, suicidal behaviors and drinking to relieve the symptoms.
    Conclusions: Affective symptoms are common in severe alcohol use disorders are associated with a history of independent affective/anxiety disorders, neuroticism and suicidal behaviors; and may promote further heavy drinking.
    MeSH term(s) Adolescent ; Adult ; Affective Symptoms/psychology ; Aged ; Aged, 80 and over ; Alcoholism/psychology ; Anxiety/psychology ; Anxiety Disorders/psychology ; Bipolar Disorder/psychology ; Cross-Sectional Studies ; Depression/psychology ; Depressive Disorder/psychology ; Depressive Disorder, Major/psychology ; Disease Progression ; Female ; Humans ; Male ; Middle Aged ; Neuroticism ; Retrospective Studies ; Severity of Illness Index ; Suicidal Ideation ; Suicide, Attempted/psychology ; United States ; Young Adult
    Language English
    Publishing date 2018-09-26
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1141051-6
    ISSN 1360-0443 ; 0965-2140
    ISSN (online) 1360-0443
    ISSN 0965-2140
    DOI 10.1111/add.14431
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  10. Article ; Online: Noninvasive prenatal exome sequencing diagnostic utility limited by sequencing depth and fetal fraction.

    Filer, Dayne L / Mieczkowski, Piotr A / Brandt, Alicia / Gilmore, Kelly L / Powell, Bradford C / Berg, Jonathan S / Wilhelmsen, Kirk C / Vora, Neeta L

    Prenatal diagnosis

    2021  Volume 42, Issue 5, Page(s) 567–573

    Abstract: Objective: Sequencing cell-free DNA now allows detection of large chromosomal abnormalities and dominant Mendelian disorders in the prenatal period. Improving upon these methods would allow newborn screening programs to begin with prenatal genetics, ... ...

    Abstract Objective: Sequencing cell-free DNA now allows detection of large chromosomal abnormalities and dominant Mendelian disorders in the prenatal period. Improving upon these methods would allow newborn screening programs to begin with prenatal genetics, ultimately improving the management of rare genetic disorders.
    Methods: As a pilot study, we performed exome sequencing on the cell-free DNA from three mothers with singleton pregnancies to assess the viability of broad sequencing modalities in a noninvasive prenatal setting.
    Results: We found poor resolution of maternal and fetal genotypes due to both sampling and technical issues.
    Conclusion: We find broad sequencing modalities inefficient for noninvasive prenatal applications. Alternatively, we suggest a more targeted path forward for noninvasive prenatal genotyping.
    MeSH term(s) Cell-Free Nucleic Acids ; Exome ; Female ; Fetus ; Humans ; Infant, Newborn ; Pilot Projects ; Pregnancy ; Prenatal Diagnosis/methods ; Whole Exome Sequencing/methods
    Chemical Substances Cell-Free Nucleic Acids
    Language English
    Publishing date 2021-07-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 82031-3
    ISSN 1097-0223 ; 0197-3851
    ISSN (online) 1097-0223
    ISSN 0197-3851
    DOI 10.1002/pd.6009
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