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1. Developmental Associations between Motor and Communication Outcomes in Fragile X Syndrome: Variation in the Context of Co-Occurring Autism

Author

Elizabeth A. Will, Kimberly J. Hills, Kayla Smith, Samuel McQuillin, and Jane E. Roberts

Abstract

Fragile X syndrome (FXS), the leading heritable cause of intellectual disability, has a co-occurrence rate of autism spectrum disorder (ASD) estimated at ~60%. The onset and rates of motor development in FXS are slower relative to neurotypical development, and even more so in the context of co-occurring FXS + ASD. Extant evidence suggests these differences are likely to affect communication, yet this developmental process or how it varies in the context of co-occurring ASD remains unknown in FXS. We aimed to delineate developmental associations between early motor abilities and their rate of development from 9 to 60 months of age on communication outcomes in 51 children with FXS, 28 of whom had co-occurring ASD. We also aimed to identify variation in these developmental associations in the context of co-occurring ASD. Results captured within-syndrome variability in these developmental associations as a function of co-occurring ASD. Fine motor proved to be a robust predictor of receptive communication regardless of co-occurring ASD, but we identified differences between FXS with and without ASD in the association between aspects of motor development and expressive outcomes. Findings provide evidence for differential developmental processes in the context of co-occurring ASD with implications for timely developmental intervention.

Published
2024
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2. A polygenic risk score for alcohol-associated cirrhosis among heavy drinkers with European ancestry.

Author

Schwantes-An, Tae-Hwi, Whitfield, John, Aithal, Guruprasad, Atkinson, Stephen, Bataller, Ramon, Botwin, Greg, Chalasani, Naga, Cordell, Heather, Daly, Ann, Darlay, Rebecca, Day, Christopher, Eyer, Florian, Foroud, Tatiana, Gawrieh, Samer, Gleeson, Dermot, Goldman, David, Haber, Paul, Jacquet, Jean-Marc, Lammert, Craig, Liang, Tiebing, Liangpunsakul, Suthat, Masson, Steven, Mathurin, Philippe, Moirand, Romain, McQuillin, Andrew, Moreno, Christophe, Morgan, Marsha, Mueller, Sebastian, Müllhaupt, Beat, Nagy, Laura, Nahon, Pierre, Nalpas, Bertrand, Naveau, Sylvie, Perney, Pascal, Pirmohamed, Munir, Seitz, Helmut, Soyka, Michael, Stickel, Felix, Thompson, Andrew, Thursz, Mark, Trépo, Eric, Morgan, Timothy, and Seth, Devanshi

Subjects
Humans, Polymorphism, Single Nucleotide, Liver Cirrhosis, Alcoholic, Male, Female, Middle Aged, Genome-Wide Association Study, White People, Multifactorial Inheritance, Aged, Risk Assessment, Alcohol Drinking, Adult, Risk Factors, Genetic Predisposition to Disease, United Kingdom, Genetic Risk Score
Abstract

BACKGROUND: Polygenic Risk Scores (PRS) based on results from genome-wide association studies offer the prospect of risk stratification for many common and complex diseases. We developed a PRS for alcohol-associated cirrhosis by comparing single-nucleotide polymorphisms among patients with alcohol-associated cirrhosis (ALC) versus drinkers who did not have evidence of liver fibrosis/cirrhosis. METHODS: Using a data-driven approach, a PRS for ALC was generated using a meta-genome-wide association study of ALC (N=4305) and an independent cohort of heavy drinkers with ALC and without significant liver disease (N=3037). It was validated in 2 additional independent cohorts from the UK Biobank with diagnosed ALC (N=467) and high-risk drinking controls (N=8981) and participants in the Indiana Biobank Liver cohort with alcohol-associated liver disease (N=121) and controls without liver disease (N=3239). RESULTS: A 20-single-nucleotide polymorphisms PRS for ALC (PRSALC) was generated that stratified risk for ALC comparing the top and bottom deciles of PRS in the 2 validation cohorts (ORs: 2.83 [95% CI: 1.82 -4.39] in UK Biobank; 4.40 [1.56 -12.44] in Indiana Biobank Liver cohort). Furthermore, PRSALC improved the prediction of ALC risk when added to the models of clinically known predictors of ALC risk. It also stratified the risk for metabolic dysfunction -associated steatotic liver disease -cirrhosis (3.94 [2.23 -6.95]) in the Indiana Biobank Liver cohort -based exploratory analysis. CONCLUSIONS: PRSALC incorporates 20 single-nucleotide polymorphisms, predicts increased risk for ALC, and improves risk stratification for ALC compared with the models that only include clinical risk factors. This new score has the potential for early detection of heavy drinking patients who are at high risk for ALC.

Published
2024

3. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.

Author

Meng, Xiangrui, Navoly, Georgina, Giannakopoulou, Olga, Levey, Daniel, Koller, Dora, Pathak, Gita, Koen, Nastassja, Lin, Kuang, Adams, Mark, Rentería, Miguel, Feng, Yanzhe, Gaziano, J, Stein, Dan, Zar, Heather, Campbell, Megan, van Heel, David, Trivedi, Bhavi, Finer, Sarah, McQuillin, Andrew, Bass, Nick, Chundru, V, Martin, Hilary, Huang, Qin, Valkovskaya, Maria, Chu, Chia-Yi, Kanjira, Susan, Kuo, Po-Hsiu, Chen, Hsi-Chung, Tsai, Shih-Jen, Liu, Yu-Li, Kendler, Kenneth, Peterson, Roseann, Cai, Na, Fang, Yu, Sen, Srijan, Scott, Laura, Burmeister, Margit, Loos, Ruth, Preuss, Michael, Actkins, KyEra, Davis, Lea, Uddin, Monica, Wani, Agaz, Wildman, Derek, Aiello, Allison, Ursano, Robert, Kessler, Ronald, Kanai, Masahiro, Okada, Yukinori, Sakaue, Saori, Rabinowitz, Jill, Maher, Brion, Uhl, George, Eaton, William, Cruz-Fuentes, Carlos, Martinez-Levy, Gabriela, Campos, Adrian, Millwood, Iona, Chen, Zhengming, Li, Liming, Wassertheil-Smoller, Sylvia, Jiang, Yunxuan, Tian, Chao, Martin, Nicholas, Mitchell, Brittany, Byrne, Enda, Awasthi, Swapnil, Coleman, Jonathan, Ripke, Stephan, Sofer, Tamar, Walters, Robin, McIntosh, Andrew, Polimanti, Renato, Dunn, Erin, Stein, Murray, Gelernter, Joel, Lewis, Cathryn, and Kuchenbaecker, Karoline

Subjects
Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Depressive Disorder, Major, Depression, Chromosome Mapping, Polymorphism, Single Nucleotide
Abstract

Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.

Published
2024

4. United States Schools and the Opioid Crisis: Charting New Directions

Author

Steven B. Harrod, Sayward E. Harrison, Samuel D. McQuillin, and Mark D. Weist

Abstract

Background: The opioid epidemic has created unprecedented challenges in the United States (US), including hundreds of thousands of lives lost to overdose in the past five years. Expansion of prevention and treatment for opioid use disorder (OUD) is urgently needed, as evidence-based strategies exist but many remain unable to access life-saving services. Purpose: To inform school health and mental health providers, educators and school administrators about the causes and consequences of the US opioid epidemic and to provide practical solutions for engineering multi-tiered systems of support for children and families affected by the epidemic, including through opioid misuse, OUD, and opioid overdose. Methods: We review the literature on the history of and current challenges associated with the opioid epidemic in the US. Results: The collateral damage of OUD is pervasive, impacting children and families across the US. We found no health education programs focusing on this topic in US schools, underscoring a critical need and cogent practice/policy avenue. Discussion: Schools are uniquely positioned to respond to the opioid epidemic, but school health and mental health providers, educators, and other professionals who work in schools must have accurate knowledge of the opioid epidemic, understand the challenges it is causing for children and families, and be familiar with best practices in prevention and treatment. Translation to Health Education Practice: This review provides a succinct overview of the history of the opioid epidemic, examines its impacts on children and families, and provides a call to action for schools to partner in our national response.

Published
2024
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5. Combining MTSS and Community-Based Mentoring Programs

Author

Mackenzie J. Hart, Anna M. Flitner, Mariah E. Kornbluh, Daria C. Thompson, Amanda L. Davis, Jody Lanza-Gregory, Samuel D. McQuillin, Jorge E. Gonzalez, and Gerald G. Strait

Abstract

In the United States, schools provide a large portion of child and adolescent mental health services; however, systems are restricted by resource and workforce shortages while the need for services steadily increases. This discrepancy leads to unmanageable caseloads for providers and reduced access to quality services for youth, and highlights a need to expand the school-based workforce to meet student needs. Herein, we propose a novel mental health service-delivery framework to offset these challenges by integrating mentors within the context of multitiered systems of support (MTSS) through task-shifting. We review and synthesize the literature in community and school psychology on the promises and challenges of youth mentoring and MTSS. We discuss the importance of diversifying school psychology, including the importance of increasing access to and benefit from educational supports for minoritized students, and the promise of mentoring within this context. We propose that by systematically integrating youth mentoring within MTSS there are several systems-level and individual-level benefits for youth, school staff, and mentoring nonprofits. We conclude by providing ethical, evaluation, and implementation considerations surrounding the proposed model. Impact Statement: Restructuring the school-based mental health workforce by integrating community mentors into MTSS frameworks provides an innovative, powerful way to engage with diverse student populations. We propose a novel model that expands and strengthens this workforce, thereby increasing the quality and reach of school-based services.

Published
2024
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6. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration.

Author

Austin-Zimmerman, Isabelle, Levey, Daniel, Giannakopoulou, Olga, Deak, Joseph, Galimberti, Marco, Adhikari, Keyrun, Zhou, Hang, Denaxas, Spiros, Irizar, Haritz, Kuchenbaecker, Karoline, McQuillin, Andrew, Concato, John, Buysse, Daniel, Gaziano, J, Gottlieb, Daniel, Polimanti, Renato, Stein, Murray, Bramon, Elvira, and Gelernter, Joel

Subjects
Adult, Humans, Sleep Duration, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Sleep, Phenotype, Mendelian Randomization Analysis
Abstract

Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (rg = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.

Published
2023

7. Just-in-Time Training

Author

McQuillin, Samuel D., Davis, Amanda L., Simpson, Savannah B., Kern, Lee, editor, Weist, Mark D., editor, and McQuillin, Samuel D., editor

Published
2024
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10. Expanding School-Based Motivational Interviewing through Delivery by Paraprofessional Providers: A Preliminary Scoping Review

Author

Hart, Mackenzie J., McQuillin, Samuel D., Iachini, Aidyn, Weist, Mark D., Hills, Kimberly J., and Cooper, Daniel K.

Abstract

The supply of school mental health (SMH) providers and services cannot meet the demand of students in-need, and this gap is expected to widen in coming years. One way to increase the reach of helpful services for youth is to grow the SMH workforce through task-shifting to paraprofessionals. Task-shifting could be especially promising in expanding Motivational Interviewing (MI) interventions, as MI can be molded to target a number of academic and behavioral outcomes important to schools. However, no review of training exclusively paraprofessional samples in MI has yet been conducted. The current paper provides a scoping review of 19 studies of training paraprofessional providers to use MI to evaluate trainee characteristics, training content and format, and outcomes. Of these 19 studies, 15 reported that paraprofessionals improved in using MI following training. Nine studies reported that task-shifting MI was positively received by clients and/or providers. Six studies examined task-shifting MI in youth-serving contexts, and four examined the practice in traditional school contexts, suggesting its potential for use in SMH. Other findings and implications, such as client behavior change and provider fidelity, are shared, along with ideas for advancing research, practice, and policy in this subfield.

Published
2023
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11. The South Carolina School Behavioral Health Academy

Author

Anna Grace Coates, Hannah Knott, Darien Collins, Lori Parrish, Samuel D. McQuillin, and Mark D. Weist

Abstract

Anyone who works in a school setting keenly feels the impact of COVID-19 on youth and families. They can remember the exhaustion and dysfunction that rippled out during the pandemic, and they can still see it today. The School Behavioral Health Academy (SBHA) responded to the youth mental health crisis by creating an online learning management system (LMS) dedicated to promoting multitiered systems of support. This article provides an overview of how this LMS was created and what the SBHA learned through the process provides hope of better supporting schools as they address students' mental health needs.

Published
2024

12. Assessing Longitudinal Impacts of Mentor Role on Youth Outcomes

Author

Samuels, Jody, Davis, Amanda L., and McQuillin, Samuel D.

Abstract

Youth who report prosocial relationships with natural mentors show increased social and academic success and life satisfaction. However, little research investigates how mentors impact aspects of youth identity such as athleticism or religiosity. The present study applies a Bayesian Additive Regression Trees (BART) analysis model to data from a national longitudinal study (N = 15,701) to predict specific outcomes in educational, athletic, and religious domains. This analytic approach is uniquely well-suited for accurately drawing conclusions within highly collinear, high dimensional datasets. Analyses included demographic variables and childhood base rates of academic success, fitness, and religious beliefs as covariates. Findings indicate that the presence of an academic mentor during adolescence longitudinally predicts educational attainment, while athletic or religious mentors did not have significant impacts in terms of increasing athleticism or religiosity. These results suggest that academic mentors may have more longitudinal impacts on student success than other types of mentors.

Published
2023
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13. Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk

Author

Anil P. S. Ori, Loes M. Olde Loohuis, Jerry Guintivano, Eilis Hannon, Emma Dempster, David St. Clair, Nick J. Bass, Andrew McQuillin, Jonathan Mill, Patrick F. Sullivan, Rene S. Kahn, Steve Horvath, and Roel A. Ophoff

Subjects
Schizophrenia, DNA methylation, Aging, Epigenetic clocks, Biological aging, Accelerated aging, Medicine, Genetics, QH426-470
Abstract

Abstract Background The study of biological age acceleration may help identify at-risk individuals and reduce the rising global burden of age-related diseases. Using DNA methylation (DNAm) clocks, we investigated biological aging in schizophrenia (SCZ), a mental illness that is associated with an increased prevalence of age-related disabilities and morbidities. In a whole blood DNAm sample of 1090 SCZ cases and 1206 controls across four European cohorts, we performed a meta-analysis of differential aging using three DNAm clocks (i.e., Hannum, Horvath, and Levine). To dissect how DNAm aging contributes to SCZ, we integrated information on duration of illness and SCZ polygenic risk, as well as stratified our analyses by chronological age and biological sex. Results We found that blood-based DNAm aging is significantly altered in SCZ independent from duration of the illness since onset. We observed sex-specific and nonlinear age effects that differed between clocks and point to possible distinct age windows of altered aging in SCZ. Most notably, intrinsic cellular age (Horvath clock) is decelerated in SCZ cases in young adulthood, while phenotypic age (Levine clock) is accelerated in later adulthood compared to controls. Accelerated phenotypic aging was most pronounced in women with SCZ carrying a high polygenic burden with an age acceleration of + 3.82 years (CI 2.02–5.61, P = 1.1E−03). Phenotypic aging and SCZ polygenic risk contributed additively to the illness and together explained up to 14.38% of the variance in disease status. Conclusions Our study contributes to the growing body of evidence of altered DNAm aging in SCZ and points to intrinsic age deceleration in younger adulthood and phenotypic age acceleration in later adulthood in SCZ. Since increased phenotypic age is associated with increased risk of all-cause mortality, our findings indicate that specific and identifiable patient groups are at increased mortality risk as measured by the Levine clock. Our study did not find that DNAm aging could be explained by the duration of illness of patients, but we did observe age- and sex-specific effects that warrant further investigation. Finally, our results show that combining genetic and epigenetic predictors can improve predictions of disease outcomes and may help with disease management in schizophrenia.

Published
2024
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16. Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia

Author

Palmer, Duncan S, Howrigan, Daniel P, Chapman, Sinéad B, Adolfsson, Rolf, Bass, Nick, Blackwood, Douglas, Boks, Marco PM, Chen, Chia-Yen, Churchhouse, Claire, Corvin, Aiden P, Craddock, Nicholas, Curtis, David, Di Florio, Arianna, Dickerson, Faith, Freimer, Nelson B, Goes, Fernando S, Jia, Xiaoming, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene S, Landén, Mikael, Locke, Adam E, McIntosh, Andrew M, McQuillin, Andrew, Morris, Derek W, O’Donovan, Michael C, Ophoff, Roel A, Owen, Michael J, Pedersen, Nancy L, Posthuma, Danielle, Reif, Andreas, Risch, Neil, Schaefer, Catherine, Scott, Laura, Singh, Tarjinder, Smoller, Jordan W, Solomonson, Matthew, Clair, David St, Stahl, Eli A, Vreeker, Annabel, Walters, James TR, Wang, Weiqing, Watts, Nicholas A, Yolken, Robert, Zandi, Peter P, and Neale, Benjamin M

Subjects
Biotechnology, Human Genome, Clinical Research, Serious Mental Illness, Schizophrenia, Brain Disorders, Bipolar Disorder, Mental Health, Genetics, 2.1 Biological and endogenous factors, Aetiology, Mental health, A Kinase Anchor Proteins, Exome, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Exome Sequencing, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We report results from the Bipolar Exome (BipEx) collaboration analysis of whole-exome sequencing of 13,933 patients with bipolar disorder (BD) matched with 14,422 controls. We find an excess of ultra-rare protein-truncating variants (PTVs) in patients with BD among genes under strong evolutionary constraint in both major BD subtypes. We find enrichment of ultra-rare PTVs within genes implicated from a recent schizophrenia exome meta-analysis (SCHEMA; 24,248 cases and 97,322 controls) and among binding targets of CHD8. Genes implicated from genome-wide association studies (GWASs) of BD, however, are not significantly enriched for ultra-rare PTVs. Combining gene-level results with SCHEMA, AKAP11 emerges as a definitive risk gene (odds ratio (OR) = 7.06, P = 2.83 × 10-9). At the protein level, AKAP-11 interacts with GSK3B, the hypothesized target of lithium, a primary treatment for BD. Our results lend support to BD's polygenicity, demonstrating a role for rare coding variation as a significant risk factor in BD etiology.

Published
2022

17. Rare coding variants in ten genes confer substantial risk for schizophrenia.

Author

Singh, Tarjinder, Poterba, Timothy, Curtis, David, Akil, Huda, Al Eissa, Mariam, Barchas, Jack D, Bass, Nicholas, Bigdeli, Tim B, Breen, Gerome, Bromet, Evelyn J, Buckley, Peter F, Bunney, William E, Bybjerg-Grauholm, Jonas, Byerley, William F, Chapman, Sinéad B, Chen, Wei J, Churchhouse, Claire, Craddock, Nicholas, Cusick, Caroline M, DeLisi, Lynn, Dodge, Sheila, Escamilla, Michael A, Eskelinen, Saana, Fanous, Ayman H, Faraone, Stephen V, Fiorentino, Alessia, Francioli, Laurent, Gabriel, Stacey B, Gage, Diane, Gagliano Taliun, Sarah A, Ganna, Andrea, Genovese, Giulio, Glahn, David C, Grove, Jakob, Hall, Mei-Hua, Hämäläinen, Eija, Heyne, Henrike O, Holi, Matti, Hougaard, David M, Howrigan, Daniel P, Huang, Hailiang, Hwu, Hai-Gwo, Kahn, René S, Kang, Hyun Min, Karczewski, Konrad J, Kirov, George, Knowles, James A, Lee, Francis S, Lehrer, Douglas S, Lescai, Francesco, Malaspina, Dolores, Marder, Stephen R, McCarroll, Steven A, McIntosh, Andrew M, Medeiros, Helena, Milani, Lili, Morley, Christopher P, Morris, Derek W, Mortensen, Preben Bo, Myers, Richard M, Nordentoft, Merete, O'Brien, Niamh L, Olivares, Ana Maria, Ongur, Dost, Ouwehand, Willem H, Palmer, Duncan S, Paunio, Tiina, Quested, Digby, Rapaport, Mark H, Rees, Elliott, Rollins, Brandi, Satterstrom, F Kyle, Schatzberg, Alan, Scolnick, Edward, Scott, Laura J, Sharp, Sally I, Sklar, Pamela, Smoller, Jordan W, Sobell, Janet L, Solomonson, Matthew, Stahl, Eli A, Stevens, Christine R, Suvisaari, Jaana, Tiao, Grace, Watson, Stanley J, Watts, Nicholas A, Blackwood, Douglas H, Børglum, Anders D, Cohen, Bruce M, Corvin, Aiden P, Esko, Tõnu, Freimer, Nelson B, Glatt, Stephen J, Hultman, Christina M, McQuillin, Andrew, Palotie, Aarno, Pato, Carlos N, Pato, Michele T, Pulver, Ann E, and St Clair, David

Subjects
Humans, Genetic Predisposition to Disease, Receptors, N-Methyl-D-Aspartate, Case-Control Studies, Schizophrenia, Mutation, Exome, Neurodevelopmental Disorders, Human Genome, Biotechnology, Mental Health, Neurosciences, Brain Disorders, Genetics, Serious Mental Illness, Aetiology, 2.1 Biological and endogenous factors, Mental health, Neurological, General Science & Technology
Abstract

Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3-50, P

Published
2022

18. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration

Author

Isabelle Austin-Zimmerman, Daniel F. Levey, Olga Giannakopoulou, Joseph D. Deak, Marco Galimberti, Keyrun Adhikari, Hang Zhou, Spiros Denaxas, Haritz Irizar, Karoline Kuchenbaecker, Andrew McQuillin, the Million Veteran Program, John Concato, Daniel J. Buysse, J. Michael Gaziano, Daniel J. Gottlieb, Renato Polimanti, Murray B. Stein, Elvira Bramon, and Joel Gelernter

Subjects
Science
Abstract

Abstract Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (rg = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.

Published
2023
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19. A genetic risk score and diabetes predict development of alcohol-related cirrhosis in drinkers

Author

Whitfield, John B, Schwantes-An, Tae-Hwi, Darlay, Rebecca, Aithal, Guruprasad P, Atkinson, Stephen R, Bataller, Ramon, Botwin, Greg, Chalasani, Naga P, Cordell, Heather J, Daly, Ann K, Day, Christopher P, Eyer, Florian, Foroud, Tatiana, Gleeson, Dermot, Goldman, David, Haber, Paul S, Jacquet, Jean-Marc, Liang, Tiebing, Liangpunsakul, Suthat, Masson, Steven, Mathurin, Philippe, Moirand, Romain, McQuillin, Andrew, Moreno, Christophe, Morgan, Marsha Y, Mueller, Sebastian, Müllhaupt, Beat, Nagy, Laura E, Nahon, Pierre, Nalpas, Bertrand, Naveau, Sylvie, Perney, Pascal, Pirmohamed, Munir, Seitz, Helmut K, Soyka, Michael, Stickel, Felix, Thompson, Andrew, Thursz, Mark R, Trépo, Eric, Morgan, Timothy R, Seth, Devanshi, and Consortium, GenomALC

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Rare Diseases, Liver Cancer, Genetics, Liver Disease, Clinical Research, Substance Misuse, Genetic Testing, Cancer, Alcoholism, Alcohol Use and Health, Digestive Diseases, Chronic Liver Disease and Cirrhosis, Metabolic and endocrine, Oral and gastrointestinal, Good Health and Well Being, Adult, Alcohol Drinking, Case-Control Studies, Cohort Studies, Diabetes Mellitus, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Liver Cirrhosis, Alcoholic, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment, Hepatocellular carcinoma, risk stratification, chronic alcohol use, genome-wide association, single nucleotide polymorphism, coffee, GenomALC Consortium, Public Health and Health Services, Gastroenterology & Hepatology, Clinical sciences
Abstract

Background & aimsOnly a minority of excess alcohol drinkers develop cirrhosis. We developed and evaluated risk stratification scores to identify those at highest risk.MethodsThree cohorts (GenomALC-1: n = 1,690, GenomALC-2: n = 3,037, UK Biobank: relevant n = 6,898) with a history of heavy alcohol consumption (≥80 g/day (men), ≥50 g/day (women), for ≥10 years) were included. Cases were participants with alcohol-related cirrhosis. Controls had a history of similar alcohol consumption but no evidence of liver disease. Risk scores were computed from up to 8 genetic loci identified previously as associated with alcohol-related cirrhosis and 3 clinical risk factors. Score performance for the stratification of alcohol-related cirrhosis risk was assessed and compared across the alcohol-related liver disease spectrum, including hepatocellular carcinoma (HCC).ResultsA combination of 3 single nucleotide polymorphisms (SNPs) (PNPLA3:rs738409, SUGP1-TM6SF2:rs10401969, HSD17B13:rs6834314) and diabetes status best discriminated cirrhosis risk. The odds ratios (ORs) and (95% CIs) between the lowest (Q1) and highest (Q5) score quintiles of the 3-SNP score, based on independent allelic effect size estimates, were 5.99 (4.18-8.60) (GenomALC-1), 2.81 (2.03-3.89) (GenomALC-2), and 3.10 (2.32-4.14) (UK Biobank). Patients with diabetes and high risk scores had ORs of 14.7 (7.69-28.1) (GenomALC-1) and 17.1 (11.3-25.7) (UK Biobank) compared to those without diabetes and with low risk scores. Patients with cirrhosis and HCC had significantly higher mean risk scores than patients with cirrhosis alone (0.76 ± 0.06 vs. 0.61 ± 0.02, p = 0.007). Score performance was not significantly enhanced by information on additional genetic risk variants, body mass index or coffee consumption.ConclusionsA risk score based on 3 genetic risk variants and diabetes status enables the stratification of heavy drinkers based on their risk of cirrhosis, allowing for the provision of earlier preventative interventions.Lay summaryExcessive chronic drinking leads to cirrhosis in some people, but so far there is no way to identify those at high risk of developing this debilitating disease. We developed a genetic risk score that can identify patients at high risk. The risk of cirrhosis is increased >10-fold with just two risk factors - diabetes and a high genetic risk score. Risk assessment using this test could enable the early and personalised management of this disease in high-risk patients.

Published
2022

20. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.

Author

Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Endothelial Cells, Humans, Genetic Predisposition to Disease, Receptors, Vascular Endothelial Growth Factor, Sulfurtransferases, Bipolar Disorder, Depressive Disorder, Major, Psychotic Disorders, Schizophrenia, Sex Characteristics, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Sex differences, Serious Mental Illness, Biotechnology, Mental Health, Genetics, Human Genome, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Published
2022

21. Characterisation of age and polarity at onset in bipolar disorder.

Author

Kalman, Janos L, Olde Loohuis, Loes M, Vreeker, Annabel, McQuillin, Andrew, Stahl, Eli A, Ruderfer, Douglas, Grigoroiu-Serbanescu, Maria, Panagiotaropoulou, Georgia, Ripke, Stephan, Bigdeli, Tim B, Stein, Frederike, Meller, Tina, Meinert, Susanne, Pelin, Helena, Streit, Fabian, Papiol, Sergi, Adams, Mark J, Adolfsson, Rolf, Adorjan, Kristina, Agartz, Ingrid, Aminoff, Sofie R, Anderson-Schmidt, Heike, Andreassen, Ole A, Ardau, Raffaella, Aubry, Jean-Michel, Balaban, Ceylan, Bass, Nicholas, Baune, Bernhard T, Bellivier, Frank, Benabarre, Antoni, Bengesser, Susanne, Berrettini, Wade H, Boks, Marco P, Bromet, Evelyn J, Brosch, Katharina, Budde, Monika, Byerley, William, Cervantes, Pablo, Chillotti, Catina, Cichon, Sven, Clark, Scott R, Comes, Ashley L, Corvin, Aiden, Coryell, William, Craddock, Nick, Craig, David W, Croarkin, Paul E, Cruceanu, Cristiana, Czerski, Piotr M, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J Raymond, Djurovic, Srdjan, Edenberg, Howard J, Eissa, Mariam Al, Elvsåshagen, Torbjørn, Etain, Bruno, Fanous, Ayman H, Fellendorf, Frederike, Fiorentino, Alessia, Forstner, Andreas J, Frye, Mark A, Fullerton, Janice M, Gade, Katrin, Garnham, Julie, Gershon, Elliot, Gill, Michael, Goes, Fernando S, Gordon-Smith, Katherine, Grof, Paul, Guzman-Parra, Jose, Hahn, Tim, Hasler, Roland, Heilbronner, Maria, Heilbronner, Urs, Jamain, Stephane, Jimenez, Esther, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene S, Kelsoe, John R, Kennedy, James L, Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Klöhn-Saghatolislam, Farah, Knowles, James A, Kranz, Thorsten M, Lagerberg, Trine Vik, Landen, Mikael, Lawson, William B, Leboyer, Marion, Li, Qingqin S, Maj, Mario, Malaspina, Dolores, Manchia, Mirko, and Mayoral, Fermin

Subjects
Psychiatric Genomics Consortium (PGC) Bipolar Disorder Working Group, International Consortium on Lithium Genetics, Colombia-US Cross Disorder Collaboration in Psychiatric Genetics, Humans, Bipolar Disorder, Depressive Disorder, Major, Age of Onset, Multifactorial Inheritance, Genome-Wide Association Study, Autism Spectrum Disorder, Bipolar disorder, GWAS, age at onset, polarity at onset, polygenic score, Genetics, Mental Health, Prevention, Brain Disorders, Serious Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundStudying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.MethodGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = -0.34 years, s.e. = 0.08), major depression (β = -0.34 years, s.e. = 0.08), schizophrenia (β = -0.39 years, s.e. = 0.08), and educational attainment (β = -0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

Published
2021

22. Deconstructing 'Risk' in Youth Mentoring Programs: How Environmental Stressors and Presenting Challenges Shape Mentoring Relationship Outcomes

Author

Poon, Cyanea Y. S., Herrera, Carla, Jarjoura, Roger, McQuillin, Samuel D., Keller, Thomas E., and Rhodes, Jean E.

Abstract

Youth referred to mentoring programs vary considerably in the range and severity of difficulties (i.e., behavioral, internalizing, social and academic) and environmental challenges they face. However, their patterns of risk and corresponding consequences for mentoring have rarely been investigated. This study draws on data for youth participants in 30 mentoring programs (n = 2,165, 55.1% females) to examine patterns of presenting challenges. Four profiles emerged using three-step latent profile analyses. Profiles with more intensive symptoms were associated with more environmental stressors. Moreover, there were significant differences between profiles in youth-perceived relationship attributes, including closeness, youth-centeredness, growth focus and mentor-mentee relational health. The profile with the highest externalizing and social challenge indicators scored the lowest across these four relational indices. The results highlight variability of youth risk at baseline, and its differential impact on mentoring relationship outcomes. Implications for mentoring programs are discussed.

Published
2022
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23. Genetic copy number variants, cognition and psychosis: a meta-analysis and a family study

Author

Thygesen, Johan H, Presman, Amelia, Harju-Seppänen, Jasmine, Irizar, Haritz, Jones, Rebecca, Kuchenbaecker, Karoline, Lin, Kuang, Alizadeh, Behrooz Z, Austin-Zimmerman, Isabelle, Bartels-Velthuis, Agna, Bhat, Anjali, Bruggeman, Richard, Cahn, Wiepke, Calafato, Stella, Crespo-Facorro, Benedicto, de Haan, Liewe, de Zwarte, Sonja MC, Di Forti, Marta, Díez-Revuelta, Álvaro, Hall, Jeremy, Hall, Mei-Hua, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene, Kalaydjieva, Luba, Kravariti, Eugenia, Lawrie, Stephen, Luykx, Jurjen J, Mata, Igancio, McDonald, Colm, McIntosh, Andrew M, McQuillin, Andrew, Muir, Rebecca, Ophoff, Roel, Picchioni, Marco, Prata, Diana P, Ranlund, Siri, Rujescu, Dan, Rutten, Bart PF, Schulze, Katja, Shaikh, Madiha, Schirmbeck, Frederike, Simons, Claudia JP, Toulopoulou, Timothea, van Amelsvoort, Therese, van Haren, Neeltje, van Os, Jim, van Winkel, Ruud, Vassos, Evangelos, Walshe, Muriel, Weisbrod, Matthias, Zartaloudi, Eirini, Bell, Vaughan, Powell, John, Lewis, Cathryn M, Murray, Robin M, and Bramon, Elvira

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Human Genome, Clinical Research, Brain Disorders, Serious Mental Illness, Schizophrenia, Neurosciences, Genetics, Prevention, Mental Health, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Cognition, DNA Copy Number Variations, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Psychotic Disorders, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

The burden of large and rare copy number genetic variants (CNVs) as well as certain specific CNVs increase the risk of developing schizophrenia. Several cognitive measures are purported schizophrenia endophenotypes and may represent an intermediate point between genetics and the illness. This paper investigates the influence of CNVs on cognition. We conducted a systematic review and meta-analysis of the literature exploring the effect of CNV burden on general intelligence. We included ten primary studies with a total of 18,847 participants and found no evidence of association. In a new psychosis family study, we investigated the effects of CNVs on specific cognitive abilities. We examined the burden of large and rare CNVs (>200 kb,

Published
2021

24. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.

Author

Jia, Xiaoming, Goes, Fernando S, Locke, Adam E, Palmer, Duncan, Wang, Weiqing, Cohen-Woods, Sarah, Genovese, Giulio, Jackson, Anne U, Jiang, Chen, Kvale, Mark, Mullins, Niamh, Nguyen, Hoang, Pirooznia, Mehdi, Rivera, Margarita, Ruderfer, Douglas M, Shen, Ling, Thai, Khanh, Zawistowski, Matthew, Zhuang, Yongwen, Abecasis, Gonçalo, Akil, Huda, Bergen, Sarah, Burmeister, Margit, Chapman, Sinéad, DelaBastide, Melissa, Juréus, Anders, Kang, Hyun Min, Kwok, Pui-Yan, Li, Jun Z, Levy, Shawn E, Monson, Eric T, Moran, Jennifer, Sobell, Janet, Watson, Stanley, Willour, Virginia, Zöllner, Sebastian, Adolfsson, Rolf, Blackwood, Douglas, Boehnke, Michael, Breen, Gerome, Corvin, Aiden, Craddock, Nick, DiFlorio, Arianna, Hultman, Christina M, Landen, Mikael, Lewis, Cathryn, McCarroll, Steven A, Richard McCombie, W, McGuffin, Peter, McIntosh, Andrew, McQuillin, Andrew, Morris, Derek, Myers, Richard M, O'Donovan, Michael, Ophoff, Roel, Boks, Marco, Kahn, Rene, Ouwehand, Willem, Owen, Michael, Pato, Carlos, Pato, Michele, Posthuma, Danielle, Potash, James B, Reif, Andreas, Sklar, Pamela, Smoller, Jordan, Sullivan, Patrick F, Vincent, John, Walters, James, Neale, Benjamin, Purcell, Shaun, Risch, Neil, Schaefer, Catherine, Stahl, Eli A, Zandi, Peter P, and Scott, Laura J

Subjects
Humans, Genetic Predisposition to Disease, Bipolar Disorder, Schizophrenia, Polymorphism, Single Nucleotide, Genetic Variation, Genome-Wide Association Study, Exome, Brain Disorders, Prevention, Clinical Research, Human Genome, Serious Mental Illness, Genetics, Mental Health, 2.1 Biological and endogenous factors, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3-2.8, one-sided p = 6.0 × 10-4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ.

Published
2021

25. Adapting a School-Based Motivational Interviewing Mentoring Program for Use in India

Author

Hart, Mackenzie J., Sable, Rahul, Gupta, Arundhuti, Boddu, Jean, and McQuillin, Samuel D.

Abstract

We report on the process of planning, adapting, and implementing a brief, instrumental, school-based mentoring curriculum originally developed in the United States, in three cities in India. India has the world's largest population of young adults aged 10-24 years, a developmental period associated with heightened psychosocial stressors and the onset of mental health issues, as well as a dire shortage of mental health professionals. Moving services that are typically provided by highly skilled professionals to individuals with fewer credentials or less formal training (e.g., from psychologists to mentors) can increase access to adolescent mental health services. Yet, transferring programs internationally is accompanied by unique barriers including cultural differences, and should be guided by an established framework. In this paper, we discuss the formation of a research-practice partnership designed to generate applied knowledge through emic cultural perspectives. We describe each stage of the program adaptation process within the Cultural Adaptation Framework (Fendt-Newlin et al., 2020), including our decisions to strategically adjust, remove, or retain content from the original mentoring intervention. Although program delivery was prematurely discontinued due to the COVID-19 pandemic, we provide a brief synopsis of lessons learned through the international partnership.

Published
2022
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28. It's Not a Bug, It's a Feature: Evaluating Mentoring Programs with Heterogeneous Activities

Author

Lyons, Michael D. and McQuillin, Samuel D.

Abstract

Background: Mentoring programs pair non-familial adults with children and adolescents for the purposes of promoting positive youth development. Although these programs are widely popular, evaluations tend to show that mentoring programs have, on average, modest effects on youth outcomes. Some researchers have suggested that mentoring programs should homogenize mentoring activities as a means for increasing effect sizes of programs. Objective: This paper describes why heterogeneity of mentoring activities should not necessarily be regarded as a problem (i.e., a "bug") that needs correction; rather it is more representative of the construct of mentoring as it is popularly understood and also desirable because of the potential to improve access and quality of prevention services (i.e., it is a "feature"). Method: We present different simulated scenarios demonstrating how evaluations of mentoring programs may change the estimates of treatment effects depending on how evaluators measure programmatic activities and approach analyses. Results: Analyses illustrate that commonly used evaluation strategies that treatment effects may be underestimated when mentoring activities are not measured and are paired with common analytic approaches (e.g., intent-to-treat analyses). Simulated scenarios also highlight alternative approaches for defining programmatic elements and evaluating programs to produce a more robust estimate of effects. Conclusions: The optimal strategy for evaluating mentoring services depends on the particular features of the program as well as the goals of the evaluation. One approach researchers might take is to evaluate specific mentoring practices, before evaluating mentoring programs, to begin to understand program impact.

Published
2021
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29. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

Author

Marshall, Christian R., Merico, Daniele, Thiruvahindrapuram, Bhooma, Wang, Zhouzhi, Scherer, Stephen W., Howrigan, Daniel P, Ripke, Stephan, Bulik-Sullivan, Brendan, Farh, Kai-How, Fromer, Menachem, Goldstein, Jacqueline I., Huang, Hailiang, Lee, Phil, Daly, Mark J., Neale, Benjamin M., Belliveau, Richard A., Jr., Bergen, Sarah E., Bevilacqua, Elizabeth, Chambert, Kimberley D., O'Dushlaine, Colm, Scolnick, Edward M., Smoller, Jordan W., Moran, Jennifer L., Palotie, Aarno, Petryshen, Tracey L., Wu, Wenting, Greer, Douglas S., Antaki, Danny, Shetty, Aniket, Gujral, Madhusudan, Brandler, William M., Malhotra, Dheeraj, Fuentes Fajarado, Karin V., Maile, Michelle S., Holmans, Peter A., Carrera, Noa, Craddock, Nick, Escott-Price, Valentina, Georgieva, Lyudmila, Hamshere, Marian L., Kavanagh, David, Legge, Sophie E., Pocklington, Andrew J., Richards, Alexander L., Ruderfer, Douglas M., Williams, Nigel M., Kirov, George, Owen, Michael J., Pinto, Dalila, Cai, Guiqing, Davis, Kenneth L., Drapeau, Elodie, Friedman, Joseph I, Haroutunian, Vahram, Parkhomenko, Elena, Reichenberg, Abraham, Silverman, Jeremy M., Buxbaum, Joseph D., Domenici, Enrico, Agartz, Ingrid, Djurovic, Srdjan, Mattingsdal, Morten, Melle, Ingrid, Andreassen, Ole A., Jönsson, Erik G., Söderman, Erik, Albus, Margot, Alexander, Madeline, Laurent, Claudine, Levinson, Douglas F., Amin, Farooq, Atkins, Joshua, Cairns, Murray J., Scott, Rodney J., Tooney, Paul A., Wu, Jing Qin, Bacanu, Silviu A., Bigdeli, Tim B., Reimers, Mark A., Webb, Bradley T., Wolen, Aaron R., Wormley, Brandon K., Kendler, Kenneth S., Riley, Brien P., Kähler, Anna K., Magnusson, Patrik K.E., Hultman, Christina M., Bertalan, Marcelo, Hansen, Thomas, Olsen, Line, Rasmussen, Henrik B., Werge, Thomas, Mattheisen, Manuel, Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Roffman, Joshua L., Byerley, William, Cahn, Wiepke, Kahn, René S, Strengman, Eric, Ophoff, Roel A., Carr, Vaughan J., Catts, Stanley V., Henskens, Frans A., Loughland, Carmel M., Michie, Patricia T., Pantelis, Christos, Schall, Ulrich, Jablensky, Assen V., Kelly, Brian J., Campion, Dominique, Cantor, Rita M., Cheng, Wei, Cloninger, C. Robert, Svrakic, Dragan M, Cohen, David, Cormican, Paul, Donohoe, Gary, Morris, Derek W., Corvin, Aiden, Gill, Michael, Crespo-Facorro, Benedicto, Crowley, James J., Farrell, Martilias S., Giusti-Rodríguez, Paola, Kim, Yunjung, Szatkiewicz, Jin P., Williams, Stephanie, Curtis, David, Pimm, Jonathan, Gurling, Hugh, McQuillin, Andrew, Davidson, Michael, Weiser, Mark, Degenhardt, Franziska, Forstner, Andreas J., Herms, Stefan, Hoffmann, Per, Hofman, Andrea, Cichon, Sven, Nöthen, Markus M., Del Favero, Jurgen, DeLisi, Lynn E., McCarley, Robert W., Levy, Deborah L., Mesholam-Gately, Raquelle I., Seidman, Larry J., Dikeos, Dimitris, Papadimitriou, George N., Dinan, Timothy, Duan, Jubao, Sanders, Alan R., Gejman, Pablo V., Gershon, Elliot S., Dudbridge, Frank, Eichhammer, Peter, Eriksson, Johan, Salomaa, Veikko, Essioux, Laurent, Fanous, Ayman H., Knowles, James A., Pato, Michele T., Pato, Carlos N., Frank, Josef, Meier, Sandra, Schulze, Thomas G., Strohmaier, Jana, Witt, Stephanie H., Rietschel, Marcella, Franke, Lude, Karjalainen, Juha, Freedman, Robert, Olincy, Ann, Freimer, Nelson B., Purcell, Shaun M., Roussos, Panos, Stahl, Eli A., Sklar, Pamela, Giegling, Ina, Hartmann, Annette M., Konte, Bettina, Rujescu, Dan, Godard, Stephanie, Hirschhorn, Joel N., Pers, Tune H., Price, Alkes, Esko, Tõnu, Gratten, Jacob, Lee, S. Hong, Visscher, Peter M., Wray, Naomi R., Mowry, Bryan J., de Haan, Lieuwe, Meijer, Carin J., Hansen, Mark, Ikeda, Masashi, Iwata, Nakao, Joa, Inge, Kalaydjieva, Luba, Keller, Matthew C., Kennedy, James L., Zai, Clement C., Knight, Jo, Lerer, Bernard, Liang, Kung-Yee, Lieberman, Jeffrey, Stroup, T. Scott, Lönnqvist, Jouko, Suvisaari, Jaana, Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, McDonald, Colm, McIntosh, Andrew M., Blackwood, Douglas H.R., Metspalu, Andres, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Collier, David A., Müller-Myhsok, Bertram, Murphy, Kieran C., Murray, Robin M., Powell, John, Myin-Germeys, Inez, Van Os, Jim, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Pulver, Ann E., Nicodemus, Kristin K., Nisenbaum, Laura, Nordin, Annelie, Adolfsson, Rolf, O'Callaghan, Eadbhard, Oh, Sang-Yun, O'Neill, F. Anthony, Paunio, Tiina, Pietiläinen, Olli, Perkins, Diana O., Quested, Digby, Savitz, Adam, Li, Qingqin S., Schwab, Sibylle G., Shi, Jianxin, Spencer, Chris C.A., Thirumalai, Srinivas, Veijola, Juha, Waddington, John, Walsh, Dermot, Wildenauer, Dieter B., Bramon, Elvira, Darvasi, Ariel, Posthuma, Danielle, St. Clair, David, Shanta, Omar, Klein, Marieke, Park, Peter J., Weinberger, Daniel, Moran, John V., Gage, Fred H., Vaccarino, Flora M., Gleeson, Joseph, Mathern, Gary, Courchesne, Eric, Roy, Subhojit, Bizzotto, Sara, Coulter, Michael, Dias, Caroline, D'Gama, Alissa, Ganz, Javier, Hill, Robert, Huang, August Yue, Khoshkhoo, Sattar, Kim, Sonia, Lodato, Michael, Miller, Michael, Borges-Monroy, Rebeca, Rodin, Rachel, Zhou, Zinan, Bohrson, Craig, Chu, Chong, Cortes-Ciriano, Isidro, Dou, Yanmei, Galor, Alon, Gulhan, Doga, Kwon, Minseok, Luquette, Joe, Viswanadham, Vinay, Jones, Attila, Rosenbluh, Chaggai, Cho, Sean, Langmead, Ben, Thorpe, Jeremy, Erwin, Jennifer, Jaffe, Andrew, McConnell, Michael, Narurkar, Rujuta, Paquola, Apua, Shin, Jooheon, Straub, Richard, Abyzov, Alexej, Bae, Taejeong, Jang, Yeongjun, Wang, Yifan, Gage, Fred, Linker, Sara, Reed, Patrick, Wang, Meiyan, Urban, Alexander, Zhou, Bo, Zhu, Xiaowei, Pattni, Reenal, Amero, Aitor Serres, Juan, David, Lobon, Irene, Marques-Bonet, Tomas, Moruno, Manuel Solis, Perez, Raquel Garcia, Povolotskaya, Inna, Soriano, Eduardo, Averbuj, Dan, Ball, Laurel, Breuss, Martin, Yang, Xiaoxu, Chung, Changuk, Emery, Sarah B., Flasch, Diane A., Kidd, Jeffrey M., Kopera, Huira C., Kwan, Kenneth Y., Mills, Ryan E., Moldovan, John B., Sun, Chen, Zhao, Xuefang, Zhou, Weichen, Frisbie, Trenton J., Cherskov, Adriana, Fasching, Liana, Jourdon, Alexandre, Pochareddy, Sirisha, Scuderi, Soraya, Sestan, Nenad, Maury, Eduardo A., Sherman, Maxwell A., Genovese, Giulio, Gilgenast, Thomas G., Kamath, Tushar, Burris, S.J., Rajarajan, Prashanth, Flaherty, Erin, Akbarian, Schahram, Chess, Andrew, McCarroll, Steven A., Loh, Po-Ru, Phillips-Cremins, Jennifer E., Brennand, Kristen J., Macosko, Evan Z., Walters, James T.R., O’Donovan, Michael, Sullivan, Patrick, Sebat, Jonathan, Lee, Eunjung A., and Walsh, Christopher A.

Published
2023
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30. Lack of guidelines and translational knowledge is hindering the implementation of psychiatric genetic counseling and testing within Europe – A multi-professional survey study

Author

Koido, Kati, Malmgren, Charlotta Ingvoldstad, Pojskic, Lejla, Almos, Peter Z., Bergen, Sarah E., Borg, Isabella, Božina, Nada, Coviello, Domenico A., Degenhardt, Franziska, Ganoci, Lana, Jensen, Uffe B., Durand-Lennad, Louise, Laurent-Levinson, Claudine, McQuillin, Andrew, Navickas, Alvydas, Pace, Nikolai P., Paneque, Milena, Rietschel, Marcella, Grigoroiu-Serbanescu, Maria, Soller, Maria Johansson, Suvisaari, Jaana, Utkus, Algirdas, Van Assche, Evelien, Vissouze, Lily, Zuckerman, Shachar, Chaumette, Boris, and Tammimies, Kristiina

Published
2023
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33. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Author

Zhou, Hang, Sealock, Julia M, Sanchez-Roige, Sandra, Clarke, Toni-Kim, Levey, Daniel F, Cheng, Zhongshan, Li, Boyang, Polimanti, Renato, Kember, Rachel L, Smith, Rachel Vickers, Thygesen, Johan H, Morgan, Marsha Y, Atkinson, Stephen R, Thursz, Mark R, Nyegaard, Mette, Mattheisen, Manuel, Børglum, Anders D, Johnson, Emma C, Justice, Amy C, Palmer, Abraham A, McQuillin, Andrew, Davis, Lea K, Edenberg, Howard J, Agrawal, Arpana, Kranzler, Henry R, and Gelernter, Joel

Subjects
Biological Psychology, Psychology, Genetics, Alcoholism, Alcohol Use and Health, Substance Misuse, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Mental health, Good Health and Well Being, Alcohol Drinking, Alcoholism, Datasets as Topic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Neurosciences, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU, combining alcohol use disorder and problematic drinking, in 435,563 European-ancestry individuals. We identified 29 independent risk variants, 19 of them novel. PAU was genetically correlated with 138 phenotypes, including substance use and psychiatric traits. Phenome-wide polygenic risk score analysis in an independent biobank sample (BioVU, n = 67,589) confirmed the genetic correlations between PAU and substance use and psychiatric disorders. Genetic heritability of PAU was enriched in brain and in conserved and regulatory genomic regions. Mendelian randomization suggested causal effects on liability to PAU of substance use, psychiatric status, risk-taking behavior and cognitive performance. In summary, this large PAU meta-analysis identified novel risk loci and revealed genetic relationships with numerous other traits.

Published
2020

34. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Author

Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T.R., Farh, Kai-How, Holmans, Peter A., Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A., Jr., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Bigdeli, Tim B., Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M., Carr, Vaughan J., Carrera, Noa, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C.K., Chan, Ronald Y.L., Chen, Eric Y.H., Cheng, Wei, Cheung, Eric FC., Chong, Siow Ann, Cloninger, C. Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J., Curtis, David, Davidson, Michael, Davis, Kenneth L., Degenhardt, Franziska, Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H., Farrell, Martilias S., Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M., Henskens, Frans A., Herms, Stefan, Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C., Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Lee, Jimmy, Lee, S. Hong, Legge, Sophie E., Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Magnusson, Patrik K.E., Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W., McDonald, Colm, McIntosh, Andrew M., Meier, Sandra, Meijer, Carin J., Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mokrab, Younes, Morris, Derek W., Mors, Ole, Murphy, Kieran C., Murray, Robin M., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N., Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T., Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O., Pietiläinen, Olli, Pimm, Jonathan, Pocklington, Andrew J., Powell, John, Price, Alkes, Pulver, Ann E., Purcell, Shaun M., Quested, Digby, Rasmussen, Henrik B., Reichenberg, Abraham, Reimers, Mark A., Richards, Alexander L., Roffman, Joshua L., Roussos, Panos, Ruderfer, Douglas M., Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., Schulze, Thomas G., Schwab, Sibylle G., Scolnick, Edward M., Scott, Rodney J., Seidman, Larry J., Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M., Sim, Kang, Slominsky, Petr, Smoller, Jordan W., So, Hon-Cheong, Spencer, Chris C.A., Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T., Weiser, Mark, Wildenauer, Dieter B., Williams, Nigel M., Williams, Stephanie, Witt, Stephanie H., Wolen, Aaron R., Wong, Emily H.M., Wormley, Brandon K., Xi, Hualin Simon, Zai, Clement C., Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R., Stefansson, Kari, Visscher, Peter M., Adolfsson, Rolf, Andreassen, Ole A., Blackwood, Douglas H.R., Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V., Gill, Michael, Gurling, Hugh, Hultman, Christina M., Iwata, Nakao, Jablensky, Assen V., Jönsson, Erik G., Kendler, Kenneth S., Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., McCarroll, Steven A., McQuillin, Andrew, Moran, Jennifer L., Mortensen, Preben B., Mowry, Bryan J., Nöthen, Markus M., Ophoff, Roel A., Owen, Michael J., Palotie, Aarno, Pato, Carlos N., Petryshen, Tracey L., Posthuma, Danielle, Rietschel, Marcella, Riley, Brien P., Rujescu, Dan, Sham, Pak C., Sklar, Pamela, St Clair, David, Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., Sullivan, Patrick F., O'Donovan, Michael C., Qin, Shengying, Sawa, Akira, Kahn, Rene, Hong, Kyung Sue, Shi, Wenzhao, Tsuang, Ming, Itokawa, Masanari, Feng, Gang, Glatt, Stephen J., Ma, Xiancang, Tang, Jinsong, Ruan, Yunfeng, Liu, Ruize, Zhu, Feng, Horiuchi, Yasue, Lee, Byung Dae, Joo, Eun-Jeong, Myung, Woojae, Ha, Kyooseob, Won, Hong-Hee, Baek, Ji Hyung, Chung, Young Chul, Kim, Sung-Wan, Kusumawardhani, Agung, Chen, Wei J., Hwu, Hai-Gwo, Hishimoto, Akitoyo, Otsuka, Ikuo, Sora, Ichiro, Toyota, Tomoko, Yoshikawa, Takeo, Kunugi, Hiroshi, Hattori, Kotaro, Ishiwata, Sayuri, Numata, Shusuke, Ohmori, Tetsuro, Arai, Makoto, Ozeki, Yuji, Fujii, Kumiko, Kim, Se Joo, Lee, Heon-Jeong, Ahn, Yong Min, Kim, Se Hyun, Akiyama, Kazufumi, Shimoda, Kazutaka, Kinoshita, Makoto, Hsu, Yu-Han H., Pintacuda, Greta, Nacu, Eugeniu, Kim, April, Tsafou, Kalliopi, Petrossian, Natalie, Crotty, William, Suh, Jung Min, Riseman, Jackson, Martin, Jacqueline M., Biagini, Julia C., Mena, Daya, Ching, Joshua K.T., Malolepsza, Edyta, Li, Taibo, Singh, Tarjinder, Ge, Tian, Egri, Shawn B., Tanenbaum, Benjamin, Stanclift, Caroline R., Apffel, Annie M., Carr, Steven A., Schenone, Monica, Jaffe, Jake, Fornelos, Nadine, Eggan, Kevin C., and Lage, Kasper

Published
2023
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38. Examining Youth Mentoring Services across America: Findings from the 2016 National Mentoring Program Survey

Author

MENTOR: The National Mentoring Partnership, Garringer, Michael, McQuillin, Sam, and McDaniel, Heather

Abstract

In 2016, MENTOR and its affiliates led the largest data collection effort in almost 20 years to examine the prevalence and practices of youth mentoring programs across America. The effort had had three major goals: (1) Better understand the structure, services, and challenges of mentoring programs so that MENTOR and its affiliates could provide them with appropriate professional development, training, and technical assistance; (2) Identify what programs are serving and the groups of adults that are stepping up to mentor youth in programs so that they might boost mentor recruitment and ensure that youth with the most needs are being served adequately; and (3) Provide MENTOR with a baseline understanding of the field that can be monitored for trends and used to inform a growth strategy. In the end, the national survey captured information on: (1) 1,271 mentoring agencies and 1,451 distinct mentoring programs; (2) 413,237 youth served by 193,823 mentors and supported by 10,804 staff members; and (3) The services, practices, settings, goals, challenges, and financial resources of these programs. MENTOR believes this to be the largest and most comprehensive data set about youth mentoring programs ever developed and the remainder of this report details the main findings and conclusions from the survey results. The authors think this information sheds considerable light on the current state of mentoring programs in the United States and highlights paths forward that can strengthen this field over time. [Funding for this report was provided by Altria Group, Inc.]

Published
2017

39. Genome-wide association study identifies 30 loci associated with bipolar disorder

Author

Stahl, Eli A, Breen, Gerome, Forstner, Andreas J, McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan RI, Gaspar, Héléna A, de Leeuw, Christiaan A, Steinberg, Stacy, Pavlides, Jennifer M Whitehead, Trzaskowski, Maciej, Byrne, Enda M, Pers, Tune H, Holmans, Peter A, Richards, Alexander L, Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Bækvad-Hansen, Marie, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E, Pedersen, Carsten Bøcker, Bøen, Erlend, Boks, Marco P, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Bybjerg-Grauholm, Jonas, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W, Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Djurovic, Srdjan, Dobbyn, Amanda L, Dumont, Ashley, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Guzman-Parra, José, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, and Juréus, Anders

Subjects
Biological Sciences, Genetics, Serious Mental Illness, Mental Health, Human Genome, Brain Disorders, Schizophrenia, Aetiology, 2.1 Biological and endogenous factors, Mental health, Bipolar Disorder, Case-Control Studies, Depressive Disorder, Major, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Psychotic Disorders, Systems Biology, eQTLGen Consortium, BIOS Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P

Published
2019

41. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Author

Yu-Han H. Hsu, Greta Pintacuda, Ruize Liu, Eugeniu Nacu, April Kim, Kalliopi Tsafou, Natalie Petrossian, William Crotty, Jung Min Suh, Jackson Riseman, Jacqueline M. Martin, Julia C. Biagini, Daya Mena, Joshua K.T. Ching, Edyta Malolepsza, Taibo Li, Tarjinder Singh, Tian Ge, Shawn B. Egri, Benjamin Tanenbaum, Caroline R. Stanclift, Annie M. Apffel, Steven A. Carr, Monica Schenone, Jake Jaffe, Nadine Fornelos, Hailiang Huang, Kevin C. Eggan, Kasper Lage, Stephan Ripke, Benjamin M. Neale, Aiden Corvin, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Jr., Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberley D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chan, Eric Y.H. Chen, Wei Cheng, Eric FC. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Franziska Degenhardt, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Ina Giegling, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Marian L. Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M. Hartmann, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, David M. Hougaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A. Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Patrik K.E. Magnusson, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Andrew M. McIntosh, Sandra Meier, Carin J. Meijer, Bela Melegh, Ingrid Melle, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W. Morris, Ole Mors, Kieran C. Murphy, Robin M. Murray, Inez Myin-Germeys, Bertram Müller-Myhsok, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O'Callaghan, Colm O'Dushlaine, F. Anthony O'Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Michele T. Pato, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Alan R. Sanders, Ulrich Schall, Christian R. Schubert, Thomas G. Schulze, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Jianxin Shi, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Jordan W. Smoller, Hon-Cheong So, Chris C.A. Spencer, Eli A. Stahl, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Rolf Adolfsson, Ole A. Andreassen, Douglas H.R. Blackwood, Elvira Bramon, Joseph D. Buxbaum, Anders D. Børglum, Sven Cichon, Ariel Darvasi, Enrico Domenici, Hannelore Ehrenreich, Tõnu Esko, Pablo V. Gejman, Michael Gill, Hugh Gurling, Christina M. Hultman, Nakao Iwata, Assen V. Jablensky, Erik G. Jönsson, Kenneth S. Kendler, George Kirov, Jo Knight, Todd Lencz, Douglas F. Levinson, Qingqin S. Li, Jianjun Liu, Anil K. Malhotra, Steven A. McCarroll, Andrew McQuillin, Jennifer L. Moran, Preben B. Mortensen, Bryan J. Mowry, Markus M. Nöthen, Roel A. Ophoff, Michael J. Owen, Aarno Palotie, Carlos N. Pato, Tracey L. Petryshen, Danielle Posthuma, Marcella Rietschel, Brien P. Riley, Dan Rujescu, Pak C. Sham, Pamela Sklar, David St Clair, Daniel R. Weinberger, Jens R. Wendland, Thomas Werge, Mark J. Daly, Patrick F. Sullivan, Michael C. O'Donovan, Shengying Qin, Akira Sawa, Rene Kahn, Kyung Sue Hong, Wenzhao Shi, Ming Tsuang, Masanari Itokawa, Gang Feng, Stephen J. Glatt, Xiancang Ma, Jinsong Tang, Yunfeng Ruan, Feng Zhu, Yasue Horiuchi, Byung Dae Lee, Eun-Jeong Joo, Woojae Myung, Kyooseob Ha, Hong-Hee Won, Ji Hyung Baek, Young Chul Chung, Sung-Wan Kim, Agung Kusumawardhani, Wei J. Chen, Hai-Gwo Hwu, Akitoyo Hishimoto, Ikuo Otsuka, Ichiro Sora, Tomoko Toyota, Takeo Yoshikawa, Hiroshi Kunugi, Kotaro Hattori, Sayuri Ishiwata, Shusuke Numata, Tetsuro Ohmori, Makoto Arai, Yuji Ozeki, Kumiko Fujii, Se Joo Kim, Heon-Jeong Lee, Yong Min Ahn, Se Hyun Kim, Kazufumi Akiyama, Kazutaka Shimoda, and Makoto Kinoshita

Subjects
Molecular interaction, Developmental neuroscience, Cellular neuroscience, Proteomics, Science
Abstract

Summary: Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders.

Published
2023
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42. Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study

Author

Natalie Shoham, Diana Dunca, Claudia Cooper, Joseph F. Hayes, Andrew McQuillin, Nick Bass, Gemma Lewis, and Karoline Kuchenbaecker

Subjects
Psychiatric epidemiology, visual impairment, schizophrenia, psychosis, Mendelian randomisation, Psychiatry, RC435-571
Abstract

Background Increased rates of visual impairment are observed in people with schizophrenia. Aims We assessed whether genetically predicted poor distance acuity is causally associated with schizophrenia, and whether genetically predicted schizophrenia is causally associated with poorer visual acuity. Method We used bidirectional, two-sample Mendelian randomisation to assess the effect of poor distance acuity on schizophrenia risk, poorer visual acuity on schizophrenia risk and schizophrenia on visual acuity, in European and East Asian ancestry samples ranging from approximately 14 000 to 500 000 participants. Genetic instrumental variables were obtained from the largest available summary statistics: for schizophrenia, from the Psychiatric Genomics Consortium; for visual acuity, from the UK Biobank; and for poor distance acuity, from a meta-analysis of case–control samples. We used the inverse variance-weighted method and sensitivity analyses to test validity of results. Results We found little evidence that poor distance acuity was causally associated with schizophrenia (odds ratio 1.00, 95% CI 0.91–1.10). Genetically predicted schizophrenia was associated with poorer visual acuity (mean difference in logMAR score: 0.024, 95% CI 0.014–0.033) in European ancestry samples, with a similar but less precise effect that in smaller East Asian ancestry samples (mean difference: 0.186, 95% CI –0.008 to 0.379). Conclusions Genetic evidence supports schizophrenia being a causal risk factor for poorer visual acuity, but not the converse. This highlights the importance of visual care for people with psychosis and refutes previous hypotheses that visual impairment is a potential target for prevention of schizophrenia.

Published
2023
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43. Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Author

Trubetskoy, Vassily, Pardiñas, Antonio F., Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B., Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A., Hall, Lynsey S., Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C., Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L., Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G., Agerbo, Esben, Al Eissa, Mariam, Albus, Margot, Alexander, Madeline, Alizadeh, Behrooz Z., Alptekin, Köksal, Als, Thomas D., Amin, Farooq, Arolt, Volker, Arrojo, Manuel, Athanasiu, Lavinia, Azevedo, Maria Helena, Bacanu, Silviu A., Bass, Nicholas J., Begemann, Martin, Belliveau, Richard A., Bene, Judit, Benyamin, Beben, Bergen, Sarah E., Blasi, Giuseppe, Bobes, Julio, Bonassi, Stefano, Braun, Alice, Bressan, Rodrigo Affonseca, Bromet, Evelyn J., Bruggeman, Richard, Buckley, Peter F., Buckner, Randy L., Bybjerg-Grauholm, Jonas, Cahn, Wiepke, Cairns, Murray J., Calkins, Monica E., Carr, Vaughan J., Castle, David, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C. K., Chaumette, Boris, Cheng, Wei, Cheung, Eric F. C., Chong, Siow Ann, Cohen, David, Consoli, Angèle, Cordeiro, Quirino, Costas, Javier, Curtis, Charles, Davidson, Michael, Davis, Kenneth L., de Haan, Lieuwe, Degenhardt, Franziska, DeLisi, Lynn E., Demontis, Ditte, Dickerson, Faith, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Duan, Jubao, Ducci, Giuseppe, Dudbridge, Frank, Eriksson, Johan G., Fañanás, Lourdes, Faraone, Stephen V., Fiorentino, Alessia, Forstner, Andreas, Frank, Josef, Freimer, Nelson B., Fromer, Menachem, Frustaci, Alessandra, Gadelha, Ary, Genovese, Giulio, Gershon, Elliot S., Giannitelli, Marianna, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., González Peñas, Javier, González-Pinto, Ana, Gopal, Srihari, Gratten, Jacob, Green, Michael F., Greenwood, Tiffany A., Guillin, Olivier, Gülöksüz, Sinan, Gur, Raquel E., Gur, Ruben C., Gutiérrez, Blanca, Hahn, Eric, Hakonarson, Hakon, Haroutunian, Vahram, Hartmann, Annette M., Harvey, Carol, Hayward, Caroline, Henskens, Frans A., Herms, Stefan, Hoffmann, Per, Howrigan, Daniel P., Ikeda, Masashi, Iyegbe, Conrad, Joa, Inge, Julià, Antonio, Kähler, Anna K., Kam-Thong, Tony, Kamatani, Yoichiro, Karachanak-Yankova, Sena, Kebir, Oussama, Keller, Matthew C., Kelly, Brian J., Khrunin, Andrey, Kim, Sung-Wan, Klovins, Janis, Kondratiev, Nikolay, Konte, Bettina, Kraft, Julia, Kubo, Michiaki, Kučinskas, Vaidutis, Kučinskiene, Zita Ausrele, Kusumawardhani, Agung, Kuzelova-Ptackova, Hana, Landi, Stefano, Lazzeroni, Laura C., Lee, Phil H., Legge, Sophie E., Lehrer, Douglas S., Lencer, Rebecca, Lerer, Bernard, Li, Miaoxin, Lieberman, Jeffrey, Light, Gregory A., Limborska, Svetlana, Liu, Chih-Min, Lönnqvist, Jouko, Loughland, Carmel M., Lubinski, Jan, Luykx, Jurjen J., Lynham, Amy, Macek, Jr, Milan, Mackinnon, Andrew, Magnusson, Patrik K. E., Maher, Brion S., Maier, Wolfgang, Malaspina, Dolores, Mallet, Jacques, Marder, Stephen R., Marsal, Sara, Martin, Alicia R., Martorell, Lourdes, Mattheisen, Manuel, McCarley, Robert W., McDonald, Colm, McGrath, John J., Medeiros, Helena, Meier, Sandra, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mitjans, Marina, Molden, Espen, Molina, Esther, Molto, María Dolores, Mondelli, Valeria, Moreno, Carmen, Morley, Christopher P., Muntané, Gerard, Murphy, Kieran C., Myin-Germeys, Inez, Nenadić, Igor, Nestadt, Gerald, Nikitina-Zake, Liene, Noto, Cristiano, Nuechterlein, Keith H., O’Brien, Niamh Louise, O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Ota, Vanessa Kiyomi, Pantelis, Christos, Papadimitriou, George N., Parellada, Mara, Paunio, Tiina, Pellegrino, Renata, Periyasamy, Sathish, Perkins, Diana O., Pfuhlmann, Bruno, Pietiläinen, Olli, Pimm, Jonathan, Porteous, David, Powell, John, Quattrone, Diego, Quested, Digby, Radant, Allen D., Rampino, Antonio, Rapaport, Mark H., Rautanen, Anna, Reichenberg, Abraham, Roe, Cheryl, Roffman, Joshua L., Roth, Julian, Rothermundt, Matthias, Rutten, Bart P. F., Saker-Delye, Safaa, Salomaa, Veikko, Sanjuan, Julio, Santoro, Marcos Leite, Savitz, Adam, Schall, Ulrich, Scott, Rodney J., Seidman, Larry J., Sharp, Sally Isabel, Shi, Jianxin, Siever, Larry J., Sigurdsson, Engilbert, Sim, Kang, Skarabis, Nora, Slominsky, Petr, So, Hon-Cheong, Sobell, Janet L., Söderman, Erik, Stain, Helen J., Steen, Nils Eiel, Steixner-Kumar, Agnes A., Stögmann, Elisabeth, Stone, William S., Straub, Richard E., Streit, Fabian, Strengman, Eric, Stroup, T. Scott, Subramaniam, Mythily, Sugar, Catherine A., Suvisaari, Jaana, Svrakic, Dragan M., Swerdlow, Neal R., Szatkiewicz, Jin P., Ta, Thi Minh Tam, Takahashi, Atsushi, Terao, Chikashi, Thibaut, Florence, Toncheva, Draga, Tooney, Paul A., Torretta, Silvia, Tosato, Sarah, Tura, Gian Battista, Turetsky, Bruce I., Üçok, Alp, Vaaler, Arne, van Amelsvoort, Therese, van Winkel, Ruud, Veijola, Juha, Waddington, John, Walter, Henrik, Waterreus, Anna, Webb, Bradley T., Weiser, Mark, Williams, Nigel M., Witt, Stephanie H., Wormley, Brandon K., Wu, Jing Qin, Xu, Zhida, Yolken, Robert, Zai, Clement C., Zhou, Wei, Zhu, Feng, Zimprich, Fritz, Atbaşoğlu, Eşref Cem, Ayub, Muhammad, Benner, Christian, Bertolino, Alessandro, Black, Donald W., Bray, Nicholas J., Breen, Gerome, Buccola, Nancy G., Byerley, William F., Chen, Wei J., Cloninger, C. Robert, Crespo-Facorro, Benedicto, Donohoe, Gary, Freedman, Robert, Galletly, Cherrie, Gandal, Michael J., Gennarelli, Massimo, Hougaard, David M., Hwu, Hai-Gwo, Jablensky, Assen V., McCarroll, Steven A., Moran, Jennifer L., Mors, Ole, Mortensen, Preben B., Müller-Myhsok, Bertram, Neil, Amanda L., Nordentoft, Merete, Pato, Michele T., Petryshen, Tracey L., Pirinen, Matti, Pulver, Ann E., Schulze, Thomas G., Silverman, Jeremy M., Smoller, Jordan W., Stahl, Eli A., Tsuang, Debby W., Vilella, Elisabet, Wang, Shi-Heng, Xu, Shuhua, Adolfsson, Rolf, Arango, Celso, Baune, Bernhard T., Belangero, Sintia Iole, Børglum, Anders D., Braff, David, Bramon, Elvira, Buxbaum, Joseph D., Campion, Dominique, Cervilla, Jorge A., Cichon, Sven, Collier, David A., Corvin, Aiden, Curtis, David, Forti, Marta Di, Domenici, Enrico, Ehrenreich, Hannelore, Escott-Price, Valentina, Esko, Tõnu, Fanous, Ayman H., Gareeva, Anna, Gawlik, Micha, Gejman, Pablo V., Gill, Michael, Glatt, Stephen J., Golimbet, Vera, Hong, Kyung Sue, Hultman, Christina M., Hyman, Steven E., Iwata, Nakao, Jönsson, Erik G., Kahn, René S., Kennedy, James L., Khusnutdinova, Elza, Kirov, George, Knowles, James A., Krebs, Marie-Odile, Laurent-Levinson, Claudine, Lee, Jimmy, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., Malhotra, Dheeraj, McIntosh, Andrew, McQuillin, Andrew, Menezes, Paulo R., Morgan, Vera A., Morris, Derek W., Mowry, Bryan J., Murray, Robin M., Nimgaonkar, Vishwajit, Nöthen, Markus M., Ophoff, Roel A., Paciga, Sara A., Palotie, Aarno, Pato, Carlos N., Qin, Shengying, Rietschel, Marcella, Riley, Brien P., Rivera, Margarita, Rujescu, Dan, Saka, Meram C., Sanders, Alan R., Schwab, Sibylle G., Serretti, Alessandro, Sham, Pak C., Shi, Yongyong, St Clair, David, Stefánsson, Hreinn, Stefansson, Kari, Tsuang, Ming T., van Os, Jim, Vawter, Marquis P., Weinberger, Daniel R., Werge, Thomas, Wildenauer, Dieter B., Yu, Xin, Yue, Weihua, Holmans, Peter A., Pocklington, Andrew J., Roussos, Panos, Vassos, Evangelos, Verhage, Matthijs, Visscher, Peter M., Yang, Jian, Posthuma, Danielle, Andreassen, Ole A., Kendler, Kenneth S., Owen, Michael J., Wray, Naomi R., Daly, Mark J., Huang, Hailiang, Neale, Benjamin M., Sullivan, Patrick F., Ripke, Stephan, Walters, James T. R., and O’Donovan, Michael C.

Published
2022
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44. Developmental associations between motor and communication outcomes in Fragile X syndrome: Variation in the context of co-occurring autism.

Author

Will, Elizabeth A, Hills, Kimberly J, Smith, Kayla, McQuillin, Samuel, and Roberts, Jane E

Subjects
MOTOR ability, COMMUNICATIVE competence, RESEARCH funding, AUTISM, FRAGILE X syndrome, DEVELOPMENTAL psychology, CHILD development, ASPERGER'S syndrome, COMORBIDITY
Abstract

Fragile X syndrome (FXS), the leading heritable cause of intellectual disability, has a co-occurrence rate of autism spectrum disorder (ASD) estimated at ~60%. The onset and rates of motor development in FXS are slower relative to neurotypical development, and even more so in the context of co-occurring FXS + ASD. Extant evidence suggests these differences are likely to affect communication, yet this developmental process or how it varies in the context of co-occurring ASD remains unknown in FXS. We aimed to delineate developmental associations between early motor abilities and their rate of development from 9 to 60 months of age on communication outcomes in 51 children with FXS, 28 of whom had co-occurring ASD. We also aimed to identify variation in these developmental associations in the context of co-occurring ASD. Results captured within-syndrome variability in these developmental associations as a function of co-occurring ASD. Fine motor proved to be a robust predictor of receptive communication regardless of co-occurring ASD, but we identified differences between FXS with and without ASD in the association between aspects of motor development and expressive outcomes. Findings provide evidence for differential developmental processes in the context of co-occurring ASD with implications for timely developmental intervention. Fragile X syndrome (FXS), the leading heritable cause of intellectual disability, has a co-occurrence rate of autism spectrum disorder (ASD) estimated at ~60%. Children with FXS experience delayed achievement and slower development of key motor abilities, which happens to an even greater extent for children with both FXS and ASD. A multitude of studies have demonstrated that motor abilities are foundational skills related to later communication outcomes in neurotypical development, as well as in the context of ASD. However, these associations remain unexamined in FXS, or FXS + ASD. In this study, we aimed to determine the associations between early motor skills and their rate of development on communication outcomes in FXS. Furthermore, we investigated whether these associations varied in the context of co-occurring FXS + ASD. Results revealed within-FXS variation in the context of co-occurring ASD between some aspects of motor development and communication outcomes, yet within-FXS consistency between others. Findings provide evidence for variability in developmental processes and outcomes in FXS in the context of co-occurring ASD and offer implications for intervention. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Paraprofessionals Use of Group School-Based Instrumental Mentoring: Examining Process and Preliminary Outcomes

Author

Strait, Gerald G., Turner, Jenna, Stinson, Diana, Harrison, Samanthia, Bagheri, Rojan, Perez, Tanya, Smith, Bradley H., Gonzalez, Jorge, Anderson, Jacqueline R., Simpson, Jill, and McQuillin, Sam D.

Abstract

Many schools use paraprofessionals to implement and monitor interventions. Though paraprofessionals are cost-effective, many questions remain about the training and skills they need to implement a wide array of school-based interventions. In this study, we compare paraprofessionals' (i.e., undergraduates) implementation of the Group-Academic Mentoring Program for Education Development (Group-AMPED) to school psychology graduate students' implementation of Group-AMPED. Ten paraprofessionals and five school psychology graduate students provided approximately eight sessions of Group-AMPED to 35 sixth-grade students. Results indicated no significant differences between middle school students' engagement when groups were led by either school psychology graduate students or paraprofessionals. Similarly, self-reports of fidelity and supervisor postsession implementation confidence indicated no difference between paraprofessionals and graduate students' implementation of Group-AMPED. Follow-up measures indicated that mentors and proteges perceived Group-AMPED as feasible, acceptable, and understandable. Most importantly, middle school students participating in Group-AMPED had significantly higher second-semester grades in comparison to a small control group.

Published
2020
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46. Assessing the Impact of School-Based Mentoring: Common Problems and Solutions Associated with Evaluating Nonprescriptive Youth Development Programs

Author

McQuillin, Samuel D., Lyons, Michael D., Clayton, Rebecca J., and Anderson, Jacqueline R.

Abstract

Like many youth development programs, most youth mentoring programs do not have prescribed practices that target specific outcomes. Because the construct of mentoring represents a broad range of potential activities, researchers face a conundrum when making generalizable causal inferences about the effects of this and similar services. On the one hand, researchers cannot make valid experimental inferences if they do not describe what they manipulate. On the other hand, experiments that include prescribed protocols do not generalize to most mentoring programs. In most cases, researchers conducting school-based mentoring program evaluations err on the side of not sufficiently specifying treatment constructs, which limits the field's ability to make practically or theoretically useful inferences about this service. We discuss this reality in light of the fundamental logic of the experimental design and suggest several possible solutions to this conundrum. Our goal is to empower researchers to adequately specify treatments while still preserving the treatment construct validity of this and similar interventions.

Published
2020
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47. Assessing Teacher Usability of Written Expression Curriculum-Based Measurement

Author

Payan, Anita M., Keller-Margulis, Milena, Burridge, Andrea B., McQuillin, Samuel D., and Hassett, Kristen S.

Abstract

National test data indicate that some students do not perform well in writing, suggesting a need to identify students at risk for poor performance. Research supports Written Expression Curriculum-Based Measurement (WE-CBM) as an indicator of writing proficiency, but it is less commonly used in practice. This study examined the usability of WE-CBM compared with Reading Curriculum-Based Measurement (R-CBM). Participants included 162 teachers who were given examples of WE-CBM and R-CBM and then completed a usability measure for both curriculum-based measurement (CBM) types. Teachers not only rated WE-CBM as usable but also rated R-CBM significantly higher in usability, with no significant differences in acceptability. Practical implications that may inform modifications to WE-CBM are discussed.

Published
2019
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49. Analysis of shared heritability in common disorders of the brain

Author

Consortium, The Brainstorm, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Schott, Jonathan M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, van der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, and Cuenca-Leon, Ester

Subjects
Biological Sciences, Genetics, Biological Psychology, Health Sciences, Psychology, Clinical Research, Mental Health, Human Genome, Brain Disorders, Neurosciences, Mental Illness, 2.1 Biological and endogenous factors, Neurological, Mental health, Brain Diseases, Genetic Variation, Genome-Wide Association Study, Humans, Mental Disorders, Phenotype, Quantitative Trait, Heritable, Risk Factors, Brainstorm Consortium, General Science & Technology
Abstract

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

Published
2018

50. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Author

Consortium, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics, Ruderfer, Douglas M, Ripke, Stephan, McQuillin, Andrew, Boocock, James, Stahl, Eli A, Pavlides, Jennifer M Whitehead, Mullins, Niamh, Charney, Alexander W, Ori, Anil PS, Loohuis, Loes M Olde, Domenici, Enrico, Di Florio, Arianna, Papiol, Sergi, Kalman, Janos L, Trubetskoy, Vassily, Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Akil, Huda, Albani, Diego, Albus, Margot, Alda, Martin, Alexander, Madeline, Alliey-Rodriguez, Ney, Als, Thomas D, Amin, Farooq, Anjorin, Adebayo, Arranz, Maria J, Awasthi, Swapnil, Bacanu, Silviu A, Badner, Judith A, Baekvad-Hansen, Marie, Bakker, Steven, Band, Gavin, Barchas, Jack D, Barroso, Ines, Bass, Nicholas, Bauer, Michael, Baune, Bernhard T, Begemann, Martin, Bellenguez, Celine, Belliveau, Richard A, Bellivier, Frank, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Berrettini, Wade H, Bevilacqua, Elizabeth, Biernacka, Joanna M, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas HR, Pedersen, Carsten Bocker, Boehnke, Michael, Boks, Marco, Borglum, Anders D, Bramon, Elvira, Breen, Gerome, Brown, Matthew A, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Budde, Monika, Bulik-Sullivan, Brendan, Bumpstead, Suzannah J, Bunney, William, Burmeister, Margit, Buxbaum, Joseph D, Bybjerg-Grauholm, Jonas, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Casas, Juan P, Casas, Miquel, Catts, Stanley V, Cervantes, Pablo, Chambert, Kimberley D, Chan, Raymond CK, Chen, Eric YH, Chen, Ronald YL, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Clarke, Toni-Kim, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Coleman, Jonathan RI, Collier, David A, Cormican, Paul, Coryell, William, and Craddock, Nicholas

Subjects
Human Genome, Neurosciences, Serious Mental Illness, Bipolar Disorder, Biotechnology, Schizophrenia, Brain Disorders, Genetics, Mental Health, Mental health, Good Health and Well Being, Case-Control Studies, Genetic Loci, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Odds Ratio, Phenotype, Risk, White People, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium, bipolar disorder, polygenic risk, psychosis, schizophrenia, subphenotypes, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment.

Published
2018

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