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Corbett A, Williams G, Creese B, Hampshire A, Palmer A, Brooker H, Ballard C. Impact of Short-Term Computerized Cognitive Training on Cognition in Older Adults With and Without Genetic Risk of Alzheimer's Disease: Outcomes From the START Randomized Controlled Trial. J Am Med Dir Assoc 2024:S1525-8610(24)00224-X. [PMID: 38642588 DOI: 10.1016/j.jamda.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVES To establish the impact of a 3-minute computerized cognitive training program (START) on cognition in older adults with and without genetic risk of Alzheimer's disease. DESIGN Two-arm randomized controlled trial of the START program. SETTING AND PARTICIPANTS Remote online trial in adults older than 50 taking part from home. METHODS The trial compared the START program with placebo in 6544 people older than 50. Primary outcome was executive function measured through Trailmaking B, with other secondary cognitive measures. Genetic risk profile and ApoE4 status were determined by Illumina Array. RESULTS START conferred benefit to executive function, attention, memory, and a composite measure, including in people with the ApoE4 genotype. CONCLUSIONS AND IMPLICATIONS The 3-minute START task offers a means of supporting cognitive health in older adults and could be used at scale and within a precision medicine approach to reduce risk of cognitive decline in a targeted way.
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Affiliation(s)
- Anne Corbett
- Department of Health and Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
| | - Gareth Williams
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Byron Creese
- Division of Psychology, Department of Life Sciences, Brunel University, London, UK; Faculty of Medicine, Imperial College London, London, UK
| | - Adam Hampshire
- Division of Psychology, Department of Life Sciences, Brunel University, London, UK; Faculty of Medicine, Imperial College London, London, UK
| | - Abbie Palmer
- Department of Health and Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK
| | | | - Clive Ballard
- Department of Clinical Biosciences, University of Exeter Medical School, University of Exeter, Exeter, UK
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2
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Hsieh Y, Augur ZM, Arbery M, Ashour N, Barrett K, Pearse RV, Tio ES, Duong DM, Felsky D, De Jager PL, Bennett DA, Seyfried NT, Young‐Pearse TL. Person-specific differences in ubiquitin-proteasome mediated proteostasis in human neurons. Alzheimers Dement 2024; 20:2952-2967. [PMID: 38470006 PMCID: PMC11032531 DOI: 10.1002/alz.13680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 03/13/2024]
Abstract
BACKGROUND Impairment of the ubiquitin-proteasome system (UPS) has been implicated in abnormal protein accumulation in Alzheimer's disease. It remains unclear if genetic variation affects the intrinsic properties of neurons that render some individuals more vulnerable to UPS impairment. METHODS Induced pluripotent stem cell (iPSC)-derived neurons were generated from over 50 genetically variant and highly characterized participants of cohorts of aging. Proteomic profiling, proteasome activity assays, and Western blotting were employed to examine neurons at baseline and in response to UPS perturbation. RESULTS Neurons with lower basal UPS activity were more vulnerable to tau accumulation following mild UPS inhibition. Chronic reduction in proteasome activity in human neurons induced compensatory elevation of regulatory proteins involved in proteostasis and several proteasome subunits. DISCUSSION These findings reveal that genetic variation influences basal UPS activity in human neurons and differentially sensitizes them to external factors perturbing the UPS, leading to the accumulation of aggregation-prone proteins such as tau. HIGHLIGHTS Polygenic risk score for AD is associated with the ubiquitin-proteasome system (UPS) in neurons. Basal proteasome activity correlates with aggregation-prone protein levels in neurons. Genetic variation affects the response to proteasome inhibition in neurons. Neuronal proteasome perturbation induces an elevation in specific proteins involved in proteostasis. Low basal proteasome activity leads to enhanced tau accumulation with UPS challenge.
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Affiliation(s)
- Yi‐Chen Hsieh
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Zachary M. Augur
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Mason Arbery
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Nancy Ashour
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Katharine Barrett
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Richard V. Pearse
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Earvin S. Tio
- Department of Psychiatry and Institute of Medical ScienceUniversity of TorontoTorontoOntarioCanada
| | - Duc M. Duong
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
| | - Daniel Felsky
- Department of Psychiatry and Institute of Medical ScienceUniversity of TorontoTorontoOntarioCanada
- Krembil Centre for NeuroinformaticsCentre for Addiction and Mental HealthTorontoOntarioCanada
| | - Philip L. De Jager
- Center for Translational and Computational NeuroimmunologyDepartment of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging BrainColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Nicholas T. Seyfried
- Department of BiochemistryEmory University School of MedicineAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Tracy L. Young‐Pearse
- Ann Romney Centerfor Neurologic DiseasesDepartment of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Harvard Stem Cell InstituteHarvard UniversityCambridgeMassachusettsUSA
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3
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Sampatakakis SN, Roma M, Scarmeas N. Subjective Cognitive Decline and Genetic Propensity for Dementia beyond Apolipoprotein ε 4: A Systematic Review. Curr Issues Mol Biol 2024; 46:1975-1986. [PMID: 38534745 DOI: 10.3390/cimb46030129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/28/2024] Open
Abstract
Subjective cognitive decline (SCD) has been described as a probable early stage of dementia, as it has consistently appeared to precede the onset of objective cognitive impairment. SCD is related to many risk factors, including genetic predisposition for dementia. The Apolipoprotein (APOE) ε4 allele, which has been thoroughly studied, seems to explain genetic risk for SCD only partially. Therefore, we aimed to summarize existing data regarding genetic factors related to SCD, beyond APOE ε4, in order to improve our current understanding of SCD. We conducted a PRISMA systematic search in PubMed/MEDLINE and Embase databases using the keywords "subjective cognitive decline" and "genetic predisposition" with specific inclusion and exclusion criteria. From the 270 articles identified, 16 were finally included for the qualitative analysis. Family history of Alzheimer's disease (AD) in regard to SCD was explored in eight studies, with conflicting results. Other genes implicated in SCD, beyond APOE ε4, were investigated in six studies, which were not strong enough to provide clear conclusions. Very few data have been published regarding the association of polygenic risk for AD and SCD. Thus, many more genes related to AD must be studied, with polygenic risk scores appearing to be really promising for future investigation.
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Affiliation(s)
- Stefanos N Sampatakakis
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Maria Roma
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY 10027, USA
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4
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Capawana MR, Vuijk PJ, Martin J, Pollastri AR, Forchelli GA, Woscoboinik GG, Tremblay SL, Wolfe LE, Braaten EB, Doyle AE. Polygenic Variation Underlying Educational Attainment and Attention-Deficit/Hyperactivity Disorder Indexes Behavior Ratings of Executive Functions in Child Psychiatry Outpatients. J Atten Disord 2024; 28:861-871. [PMID: 38281105 DOI: 10.1177/10870547231219763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
OBJECTIVE We leveraged common genetic variation underlying ADHD, educational attainment (EA) and cognition (COG) to understand the nature of the Behavior Rating Inventory for Executive Functions (BRIEF) and its relationship to academic functioning. METHOD Participants were 991 youth, ages 7 to 17, consecutively referred for neuropsychiatric evaluation. Polygenic scores (PGS) for ADHD, EA, and COG were related to the BRIEF using regression analyses. Structural equation models were used to examine the associations between the PGS, BRIEF and academic outcomes (math, reading, and special education services [EDPLAN]). RESULTS After modeling the PGS together, only the EA and ADHD PGS significantly associated with the BRIEF. The BRIEF partially mediated the relationships between EA PGS with math and EDPLAN and fully mediated the relationship between ADHD PGS and EDPLAN. CONCLUSION Genetic data extend evidence that the BRIEF measures a construct relevant to educational success that differs from what is indexed by cognitive testing.
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Affiliation(s)
- Michael R Capawana
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | | | - Alisha R Pollastri
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gina A Forchelli
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | | | | | - Ellen B Braaten
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Alysa E Doyle
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, MGH, Boston, MA, USA
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5
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Zhang Y, Stopsack KH, Song M, Mucci LA, Liu B, Penney KL, Tabung FK, Giovannucci E, Plym A. Healthy dietary patterns and risk of prostate cancer in men at high genetic risk. Int J Cancer 2024. [PMID: 38429859 DOI: 10.1002/ijc.34898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/30/2024] [Accepted: 02/08/2024] [Indexed: 03/03/2024]
Abstract
Prostate cancer has high heritability. Healthy lifestyle has been associated with lower lethal prostate cancer risk among men at increased genetic susceptibility, but the role of healthy dietary patterns remains unknown. We prospectively followed 10,269 genotyped men in the Health Professionals Follow-up Study (1993-2019). Genetic risk was quantified using an established polygenic risk score (PRS). Five dietary patterns were investigated: healthy eating index, Mediterranean, diabetes risk-reducing, hyperinsulinemic and inflammatory diet. Overall and lethal prostate cancer rates (metastatic disease/prostate cancer-specific death) were analyzed using multivariable Cox proportional hazards models. During 26 years of follow-up, 2133 overall and 253 lethal prostate cancer events were documented. In the highest PRS quartile, higher adherence to a diabetes risk-reducing diet was associated with lower rates of overall (top vs. bottom quintile HR [95% CI], 0.74 [0.58-0.94]) and lethal prostate cancer (0.43 [0.21-0.88]). A low insulinemic diet was associated with similar lower rates (overall, 0.76 [0.60-0.95]; lethal, 0.46 [0.23-0.94]). Other dietary patterns showed weaker, but similar associations. In the highest PRS quartile, men with healthy lifestyles based on body weight, physical activity, and low insulinemic diet had a substantially lower rate (0.26 [0.13-0.49]) of lethal prostate cancer compared with men with unhealthy lifestyles, translating to a lifetime risk of 3.4% (95% CI, 2.3%-5.0%) among those with healthy lifestyles and 9.5% (5.3%-16.7%) among those with unhealthy lifestyles. Our findings indicate that lifestyle modifications lowering insulin resistance and chronic hyperinsulinemia could be relevant in preventing aggressive prostate cancer among men genetically predisposed to prostate cancer.
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Affiliation(s)
- Yiwen Zhang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Konrad H Stopsack
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Discovery Science, American Cancer Society, Atlanta, Georgia, USA
| | - Binkai Liu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kathryn L Penney
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Fred K Tabung
- Division of Medicine Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, Ohio, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Anna Plym
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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6
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Turner CA, Khalil H, Murphy-Weinberg V, Hagenauer MH, Gates L, Tang Y, Weinberg L, Grysko R, Floran-Garduno L, Dokas T, Samaniego C, Zhao Z, Fang Y, Sen S, Lopez JF, Watson SJ, Akil H. The impact of COVID-19 on a college freshman sample reveals genetic and nongenetic forms of susceptibility and resilience to stress. Proc Natl Acad Sci U S A 2023; 120:e2305779120. [PMID: 38011555 DOI: 10.1073/pnas.2305779120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/03/2023] [Indexed: 11/29/2023] Open
Abstract
Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at baseline using multiple psychological instruments. Subjects were genotyped, and a polygenic risk score for depression (MDD-PRS) was calculated. Daily physical activity and sleep were captured. Subjects were sampled at multiple time points throughout the freshman year on clinical rating scales, including GAD-7 and PHQ-9 for anxiety and depression, respectively. Two cohorts (2019 to 2021) were compared to a pre-COVID-19 cohort to assess the impact of the pandemic. Across cohorts, 26 to 40% of freshmen developed symptoms of anxiety or depression (N = 331). Depression symptoms significantly increased in the pandemic years and became more chronic, especially in females. Physical activity was reduced, and sleep was increased by the pandemic, and this correlated with the emergence of mood symptoms. While low MDD-PRS predicted lower risk for depression during a typical freshman year, this genetic advantage vanished during the pandemic. Indeed, females with lower genetic risk accounted for the majority of the pandemic-induced rise in depression. We developed a model that explained approximately half of the variance in follow-up depression scores based on psychological trait and state characteristics at baseline and contributed to resilience in genetically vulnerable subjects. We discuss the concept of multiple types of resilience, and the interplay between genetic, sex, and psychological factors in shaping the affective response to different types of stressors.
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Affiliation(s)
- Cortney A Turner
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Huzefa Khalil
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Virginia Murphy-Weinberg
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
| | - Megan H Hagenauer
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109
| | - Linda Gates
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Yu Tang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Lauren Weinberg
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Robert Grysko
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Leonor Floran-Garduno
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
| | - Thomas Dokas
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Catherine Samaniego
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Zhuo Zhao
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
| | - Srijan Sen
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
| | - Juan F Lopez
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
| | - Stanley J Watson
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
| | - Huda Akil
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109
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Na P, Zhou H, Montalvo-Ortiz JL, Cabrera-Mendoza B, Petrakis IL, Krystal JH, Polimanti R, Gelernter J, Pietrzak RH. Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort study. Psychol Med 2023; 53:7893-7901. [PMID: 37642191 DOI: 10.1017/s003329172300199x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
BACKGROUND Understanding the interplay between psychosocial factors and polygenic risk scores (PRS) may help elucidate the biopsychosocial etiology of high alcohol consumption (HAC). This study examined the psychosocial moderators of HAC, determined by polygenic risk in a 10-year longitudinal study of US military veterans. We hypothesized that positive psychosocial traits (e.g. social support, personality traits, optimism, gratitude) may buffer risk of HAC in veterans with greater polygenic liability for alcohol consumption (AC). METHODS Data were analyzed from 1323 European-American US veterans who participated in the National Health and Resilience in Veterans Study, a 10-year, nationally representative longitudinal study of US military veterans. PRS reflecting genome-wide risk for AC (AUDIT-C) was derived from a Million Veteran Program genome-wide association study (N = 200 680). RESULTS Among the total sample, 328 (weighted 24.8%) had persistent HAC, 131 (weighted 9.9%) had new-onset HAC, 44 (weighted 3.3%) had remitted HAC, and 820 (weighted 62.0%) had no/low AC over the 10-year study period. AUDIT-C PRS was positively associated with persistent HAC relative to no/low AC [relative risk ratio (RRR) = 1.43, 95% confidence interval (CI) = 1.23-1.67] and remitted HAC (RRR = 1.63, 95% CI = 1.07-2.50). Among veterans with higher AUDIT-C PRS, greater baseline levels of agreeableness and greater dispositional gratitude were inversely associated with persistent HAC. CONCLUSIONS AUDIT-C PRS was prospectively associated with persistent HAC over a 10-year period, and agreeableness and dispositional gratitude moderated this association. Clinical interventions designed to target these modifiable psychological traits may help mitigate risk of persistent HAC in veterans with greater polygenic liability for persistent HAC.
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Affiliation(s)
- Peter Na
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Hang Zhou
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Janitza L Montalvo-Ortiz
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Ismene L Petrakis
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Joel Gelernter
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
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8
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Coombes BJ, Landi I, Choi KW, Singh K, Fennessy B, Jenkins GD, Batzler A, Pendegraft R, Nunez NA, Gao YN, Ryu E, Wickramaratne P, Weissman MM, Pathak J, Mann JJ, Smoller JW, Davis LK, Olfson M, Charney AW, Biernacka JM. The genetic contribution to the comorbidity of depression and anxiety: a multi-site electronic health records study of almost 178 000 people. Psychol Med 2023; 53:7368-7374. [PMID: 38078748 PMCID: PMC10719682 DOI: 10.1017/s0033291723000983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Depression and anxiety are common and highly comorbid, and their comorbidity is associated with poorer outcomes posing clinical and public health concerns. We evaluated the polygenic contribution to comorbid depression and anxiety, and to each in isolation. METHODS Diagnostic codes were extracted from electronic health records for four biobanks [N = 177 865 including 138 632 European (77.9%), 25 612 African (14.4%), and 13 621 Hispanic (7.7%) ancestry participants]. The outcome was a four-level variable representing the depression/anxiety diagnosis group: neither, depression-only, anxiety-only, and comorbid. Multinomial regression was used to test for association of depression and anxiety polygenic risk scores (PRSs) with the outcome while adjusting for principal components of ancestry. RESULTS In total, 132 960 patients had neither diagnosis (74.8%), 16 092 depression-only (9.0%), 13 098 anxiety-only (7.4%), and 16 584 comorbid (9.3%). In the European meta-analysis across biobanks, both PRSs were higher in each diagnosis group compared to controls. Notably, depression-PRS (OR 1.20 per s.d. increase in PRS; 95% CI 1.18-1.23) and anxiety-PRS (OR 1.07; 95% CI 1.05-1.09) had the largest effect when the comorbid group was compared with controls. Furthermore, the depression-PRS was significantly higher in the comorbid group than the depression-only group (OR 1.09; 95% CI 1.06-1.12) and the anxiety-only group (OR 1.15; 95% CI 1.11-1.19) and was significantly higher in the depression-only group than the anxiety-only group (OR 1.06; 95% CI 1.02-1.09), showing a genetic risk gradient across the conditions and the comorbidity. CONCLUSIONS This study suggests that depression and anxiety have partially independent genetic liabilities and the genetic vulnerabilities to depression and anxiety make distinct contributions to comorbid depression and anxiety.
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Affiliation(s)
- Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Isotta Landi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karmel W Choi
- Department of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kritika Singh
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brian Fennessy
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Greg D Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Anthony Batzler
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Richard Pendegraft
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Nicolas A Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Y Nina Gao
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA
| | - Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Priya Wickramaratne
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA
| | | | - Jyotishman Pathak
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA
- Clinical and Translational Science Center, Weill Cornell Medicine, New York, New York, USA
| | - J John Mann
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA
| | - Jordan W Smoller
- Department of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Lea K Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark Olfson
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA
| | - Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joanna M Biernacka
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
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9
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Jiang F, Boakye D, Sun J, Wang L, Yu L, Zhou X, Zhao J, Bian Z, Song P, He Y, Zhu Y, Chen J, Yuan S, Song M, Larsson SC, Giovannucci EL, Theodoratou E, Ding K, Li X. Association between antibiotic use during early life and early-onset colorectal cancer risk overall and according to polygenic risk and FUT2 genotypes. Int J Cancer 2023; 153:1602-1611. [PMID: 37504220 PMCID: PMC10953323 DOI: 10.1002/ijc.34648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/29/2023] [Accepted: 06/12/2023] [Indexed: 07/29/2023]
Abstract
Early-onset colorectal cancer (EOCRC) has been increasing worldwide. Potential risk factors may have occurred in childhood or adolescence. We investigated the associations between early-life factors and EOCRC risk, with a particular focus on long-term or recurrent antibiotic use (LRAU) and its interaction with genetic factors. Data on the UK Biobank participants recruited between 2006 and 2010 and followed up to February 2022 were used. We used logistic regression to estimate adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) of the associations between LRAU during early life and EOCRC risk overall and by polygenic risk score (constructed by 127 CRC-related genetic variants) and Fucosyltransferase 2 (FUT2), a gut microbiota regulatory gene. We also assessed the associations for early-onset colorectal adenomas, as precursor lesion of CRC, to examine the effect of LRAU during early-life and genetic factors on colorectal carcinogenesis. A total of 113 256 participants were included in the analysis, with 165 EOCRC cases and 719 EOCRA cases. LRAU was nominally associated with increased risk of early-onset CRC (OR = 1.48, 95% CI = 1.01-2.17, P = .046) and adenomas (OR = 1.40, 95% CI = 1.17-1.68, P < .001). When stratified by genetic polymorphisms of FUT2, LRAU appeared to confer a comparatively greater risk for early-onset adenomas among participants with rs281377 TT genotype (OR = 1.10, 95% CI = 0.79-1.52, P = .587, for CC genotype; OR = 1.75, 95% CI = 1.16-2.64, P = .008, for TT genotype; Pinteraction = .089). Our study suggested that LRAU during early life is associated with increased risk of early-onset CRC and adenomas, and the association for adenomas is predominant among individuals with rs281377 TT/CT genotype. Further studies investigating how LRAU contributes together with genetic factors to modify EOCRC risk, particularly concerning the microbiome-related pathway underlying colorectal carcinogenesis, are warranted.
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Affiliation(s)
- Fangyuan Jiang
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital and School of Public HealthZhejiang University School of MedicineHangzhouChina
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Daniel Boakye
- Department of Life SciencesPMI Global Studio LimitedLondonUK
| | - Jing Sun
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Lijuan Wang
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Centre for Global HealthUsher Institute, The University of EdinburghEdinburghUK
| | - Lili Yu
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xuan Zhou
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Centre for Global HealthUsher Institute, The University of EdinburghEdinburghUK
| | - Jianhui Zhao
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Zilong Bian
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Peige Song
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Yazhou He
- West China School of Public Health and West China Fourth HospitalSichuan UniversityChengduChina
| | - Yingshuang Zhu
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital and School of Public HealthZhejiang University School of MedicineHangzhouChina
| | - Jie Chen
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional EpidemiologyInstitute of Environmental Medicine, Karolinska InstituteStockholmSweden
| | - Mingyang Song
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Clinical and Translational Epidemiology UnitMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Division of GastroenterologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Susanna C. Larsson
- Unit of Cardiovascular and Nutritional EpidemiologyInstitute of Environmental Medicine, Karolinska InstituteStockholmSweden
- Unit of Medical Epidemiology, Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | - Edward L Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Evropi Theodoratou
- Centre for Global HealthUsher Institute, The University of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and CancerThe University of EdinburghEdinburghUK
| | - Kefeng Ding
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital and School of Public HealthZhejiang University School of MedicineHangzhouChina
- Zhejiang Provincial Clinical Research Center for CancerCancer Center of Zhejiang UniversityHangzhouChina
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and The Second Affiliated HospitalZhejiang University School of MedicineHangzhouChina
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10
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Sha Z, Warrier V, Bethlehem RA, Schultz LM, Merikangas A, Sun KY, Gur RC, Gur RE, Shinohara RT, Seidlitz J, Almasy L, Andreassen OA, Alexander-Bloch AF. The overlapping genetic architecture of psychiatric disorders and cortical brain structure. bioRxiv 2023:2023.10.05.561040. [PMID: 37873315 PMCID: PMC10592957 DOI: 10.1101/2023.10.05.561040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Both psychiatric vulnerability and cortical structure are shaped by the cumulative effect of common genetic variants across the genome. However, the shared genetic underpinnings between psychiatric disorders and brain structural phenotypes, such as thickness and surface area of the cerebral cortex, remains elusive. In this study, we employed pleiotropy-informed conjunctional false discovery rate analysis to investigate shared loci across genome-wide association scans of regional cortical thickness, surface area, and seven psychiatric disorders in approximately 700,000 individuals of European ancestry. Aggregating regional measures, we identified 50 genetic loci shared between psychiatric disorders and surface area, as well as 26 genetic loci shared with cortical thickness. Risk alleles exhibited bidirectional effects on both cortical thickness and surface area, such that some risk alleles for each disorder increased regional brain size while other risk alleles decreased regional brain size. Due to bidirectional effects, in many cases we observed extensive pleiotropy between an imaging phenotype and a psychiatric disorder even in the absence of a significant genetic correlation between them. The impact of genetic risk for psychiatric disorders on regional brain structure did exhibit a consistent pattern across highly comorbid psychiatric disorders, with 80% of the genetic loci shared across multiple disorders displaying consistent directions of effect. Cortical patterning of genetic overlap revealed a hierarchical genetic architecture, with the association cortex and sensorimotor cortex representing two extremes of shared genetic influence on psychiatric disorders and brain structural variation. Integrating multi-scale functional annotations and transcriptomic profiles, we observed that shared genetic loci were enriched in active genomic regions, converged on neurobiological and metabolic pathways, and showed differential expression in postmortem brain tissue from individuals with psychiatric disorders. Cumulatively, these findings provide a significant advance in our understanding of the overlapping polygenic architecture between psychopathology and cortical brain structure.
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Affiliation(s)
- Zhiqiang Sha
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Varun Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | | | - Laura M. Schultz
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Alison Merikangas
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin Y. Sun
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Russell T. Shinohara
- Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
- Center for Biomedical Image Computing and Analytics (CBICA), Department of Radiology, Perelman School of Medicine, United States
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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11
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Mantyh WG, Cochran JN, Taylor JW, Broce IJ, Geier EG, Bonham LW, Anderson AG, Sirkis DW, Joie RL, Iaccarino L, Chaudhary K, Edwards L, Strom A, Grant H, Allen IE, Miller ZA, Gorno‐Tempini ML, Kramer JH, Miller BL, Desikan RS, Rabinovici GD, Yokoyama JS. Early-onset Alzheimer's disease explained by polygenic risk of late-onset disease? Alzheimers Dement (Amst) 2023; 15:e12482. [PMID: 37780862 PMCID: PMC10535074 DOI: 10.1002/dad2.12482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Early-onset Alzheimer's disease (AD) is highly heritable, yet only 10% of cases are associated with known pathogenic mutations. For early-onset AD patients without an identified autosomal dominant cause, we hypothesized that their early-onset disease reflects further enrichment of the common risk-conferring single nucleotide polymorphisms associated with late-onset AD. We applied a previously validated polygenic hazard score for late-onset AD to 193 consecutive patients diagnosed at our tertiary dementia referral center with symptomatic early-onset AD. For comparison, we included 179 participants with late-onset AD and 70 healthy controls. Polygenic hazard scores were similar in early- versus late-onset AD. The polygenic hazard score was not associated with age-of-onset or disease biomarkers within early-onset AD. Early-onset AD does not represent an extreme enrichment of the common single nucleotide polymorphisms associated with late-onset AD. Further exploration of novel genetic risk factors of this highly heritable disease is warranted.Highlights: There is a unique genetic architecture of early- versus late-onset Alzheimer's disease (AD).Late-onset AD polygenic risk is not an explanation for early-onset AD.Polygenic risk of late-onset AD does not predict early-onset AD biology.Unique genetic architecture of early- versus late-onset AD parallels AD heterogeneity.
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Affiliation(s)
- William G. Mantyh
- Department of NeurologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | | | | | - Iris J. Broce
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ethan G. Geier
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Luke W. Bonham
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - Daniel W. Sirkis
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Leonardo Iaccarino
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kiran Chaudhary
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lauren Edwards
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Amelia Strom
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Harli Grant
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Isabel E. Allen
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Zachary A. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Marilu L. Gorno‐Tempini
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rahul S. Desikan
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Life Sciences DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
| | - Jennifer S. Yokoyama
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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12
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White KM, Hess JL, Glatt SJ, Maisto SA, Zvolensky MJ, Ditre JW. Polygenic risk for alcohol consumption and multisite chronic pain: Associations with ad lib drinking behavior. Exp Clin Psychopharmacol 2023; 31:933-941. [PMID: 36480390 PMCID: PMC10247901 DOI: 10.1037/pha0000630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Interrelations between alcohol use disorder and chronic pain have received increasing empirical attention, and several lines of evidence support the possibility of shared genetic liability. However, research on the genetic contributions to the component processes of these complex and potentially overlapping phenotypes remains scarce. The goal of the present study was to test polygenic risk scores (PRSs) for alcohol consumption and multisite chronic pain as predictors of ad lib drinking behavior during an experimental taste test. PRSs were calculated for 209 pain-free, moderate-to-heavy drinkers (57.9% male; 63.6% White). Among White participants, the alcohol and chronic pain PRSs showed nominally significant (ps < .05) positive associations with the volume of alcohol consumed and peak blood alcohol concentration (BAC), respectively. However, associations did not survive correction for multiple comparisons. When stratifying results by experimental condition (between-subjects design: no-pain vs. pain), the alcohol PRS was significantly and negatively associated with the volume of alcohol poured, consumed, and peak BAC among Black participants randomized to the no-pain condition (all false discovery rate [FDR]p < .05). Conversely, the chronic pain PRS was significantly and positively associated with study outcomes among White participants in both the no-pain (alcohol consumed; FDRp = .037) and pain conditions (peak BAC; FDRp = .017). These findings lend partial support to the assertion that alcohol consumption in the laboratory is reflective of drinking behavior in naturalistic settings. This was also the first study to use a pain-related PRS to predict alcohol outcomes, which may be indicative of shared etiology between base and target traits. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Kyle M. White
- Department of Psychology, Syracuse University, Syracuse, NY 13244, United States
| | - Jonathan L. Hess
- Department of Psychiatry and Behavioral Sciences, The State University of New York (SUNY) Upstate Medical University, Syracuse, NY 13210, United States
| | - Stephen J. Glatt
- Department of Psychiatry and Behavioral Sciences, The State University of New York (SUNY) Upstate Medical University, Syracuse, NY 13210, United States
| | - Stephen A. Maisto
- Department of Psychology, Syracuse University, Syracuse, NY 13244, United States
| | - Michael J. Zvolensky
- Department of Psychology, University of Houston, Houston, TX 77004, United States
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
- HEALTH Institute, University of Houston, Houston, TX 77204, United States
| | - Joseph W. Ditre
- Department of Psychology, Syracuse University, Syracuse, NY 13244, United States
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13
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Nichter B, Koller D, De Angelis F, Wang J, Girgenti MJ, Na PJ, Hill ML, Norman SB, Krystal JH, Gelernter J, Polimanti R, Pietrzak RH. Genetic liability to suicidal thoughts and behaviors and risk of suicide attempt in US military veterans: moderating effects of cumulative trauma burden. Psychol Med 2023; 53:6325-6333. [PMID: 36444557 DOI: 10.1017/s0033291722003646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Little is known about environmental factors that may influence associations between genetic liability to suicidality and suicidal behavior. METHODS This study examined whether a suicidality polygenic risk score (PRS) derived from a large genome-wide association study (N = 122,935) was associated with suicide attempts in a population-based sample of European-American US military veterans (N = 1664; 92.5% male), and whether cumulative lifetime trauma exposure moderated this association. RESULTS Eighty-five veterans (weighted 6.3%) reported a history of suicide attempt. After adjusting for sociodemographic and psychiatric characteristics, suicidality PRS was associated with lifetime suicide attempt (odds ratio 2.65; 95% CI 1.37-5.11). A significant suicidality PRS-by-trauma exposure interaction emerged, such that veterans with higher levels of suicidality PRS and greater trauma burden had the highest probability of lifetime suicide attempt (16.6%), whereas the probability of attempts was substantially lower among those with high suicidality PRS and low trauma exposure (1.4%). The PRS-by-trauma interaction effect was enriched for genes implicated in cellular and developmental processes, and nervous system development, with variants annotated to the DAB2 and SPNS2 genes, which are implicated in inflammatory processes. Drug repurposing analyses revealed upregulation of suicide gene-sets in the context of medrysone, a drug targeting chronic inflammation, and clofibrate, a triacylglyceride level lowering agent. CONCLUSION Results suggest that genetic liability to suicidality is associated with increased risk of suicide attempt among veterans, particularly in the presence of high levels of cumulative trauma exposure. Additional research is warranted to investigate whether incorporation of genomic information may improve suicide prediction models.
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Affiliation(s)
- Brandon Nichter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jiawei Wang
- Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA
| | - Matthew J Girgenti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Peter J Na
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Melanie L Hill
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Sonya B Norman
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
- National Center for PTSD, White River Junction, VT, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
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14
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Ikonnikova A, Morozova A, Antonova O, Ochneva A, Fedoseeva E, Abramova O, Emelyanova M, Filippova M, Morozova I, Zorkina Y, Syunyakov T, Andryushchenko A, Andreuyk D, Kostyuk G, Gryadunov D. Evaluation of the Polygenic Risk Score for Alzheimer's Disease in Russian Patients with Dementia Using a Low-Density Hydrogel Oligonucleotide Microarray. Int J Mol Sci 2023; 24:14765. [PMID: 37834213 PMCID: PMC10572681 DOI: 10.3390/ijms241914765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
The polygenic risk score (PRS), together with the ɛ4 allele of the APOE gene (APOE-ɛ4), has shown high potential for Alzheimer's disease (AD) risk prediction. The aim of this study was to validate the model of polygenic risk in Russian patients with dementia. A microarray-based assay was developed to identify 21 markers of polygenic risk and ɛ alleles of the APOE gene. This case-control study included 348 dementia patients and 519 cognitively normal volunteers. Cerebrospinal fluid (CSF) amyloid-β (Aβ) and tau protein levels were assessed in 57 dementia patients. PRS and APOE-ɛ4 were significant genetic risk factors for dementia. Adjusted for APOE-ɛ4, individuals with PRS corresponding to the fourth quartile had an increased risk of dementia compared to the first quartile (OR 1.85; p-value 0.002). The area under the curve (AUC) was 0.559 for the PRS model only, and the inclusion of APOE-ɛ4 improved the AUC to 0.604. PRS was positively correlated with tTau and pTau181 and inversely correlated with Aβ42/Aβ40 ratio. Carriers of APOE-ɛ4 had higher levels of tTau and pTau181 and lower levels of Aβ42 and Aβ42/Aβ40. The developed assay can be part of a strategy for assessing individuals for AD risk, with the purpose of assisting primary preventive interventions.
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Affiliation(s)
- Anna Ikonnikova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Anna Morozova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Olga Antonova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Alexandra Ochneva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Elena Fedoseeva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Olga Abramova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Marina Emelyanova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Marina Filippova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Irina Morozova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Yana Zorkina
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Timur Syunyakov
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- International Centre for Education and Research in Neuropsychiatry (ICERN), Samara State Medical University, 443016 Samara, Russia
| | - Alisa Andryushchenko
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Denis Andreuyk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Economy Faculty, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Georgy Kostyuk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Psychiatry, Federal State Budgetary Educational Institution of Higher Education “Moscow State University of Food Production”, Volokolamskoye Highway 11, 125080 Moscow, Russia
| | - Dmitry Gryadunov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
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15
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Tiego J, Thompson K, Arnatkeviciute A, Hawi Z, Finlay A, Sabaroedin K, Johnson B, Bellgrove MA, Fornito A. Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample. Schizophr Bull 2023; 49:1217-1228. [PMID: 36869759 PMCID: PMC10483465 DOI: 10.1093/schbul/sbac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Schizotypy is a multidimensional construct that captures a continuum of risk for developing schizophrenia-spectrum psychopathology. Existing 3-factor models of schizotypy, consisting of positive, negative, and disorganized dimensions have yielded mixed evidence of genetic continuity with schizophrenia using polygenic risk scores. Here, we propose an approach that involves splitting positive and negative schizotypy into more specific subdimensions that are phenotypically continuous with distinct positive symptoms and negative symptoms recognized in clinical schizophrenia. We used item response theory to derive high-precision estimates of psychometric schizotypy using 251 self-report items obtained from a non-clinical sample of 727 (424 females) adults. These subdimensions were organized hierarchically using structural equation modeling into 3 empirically independent higher-order dimensions enabling associations with polygenic risk for schizophrenia to be examined at different levels of phenotypic generality and specificity. Results revealed that polygenic risk for schizophrenia was associated with variance specific to delusional experiences (γ = 0.093, P = .001) and reduced social interest and engagement (γ = 0.076, P = .020), and these effects were not mediated via the higher-order general, positive, or negative schizotypy factors. We further fractionated general intellectual functioning into fluid and crystallized intelligence in 446 (246 females) participants that underwent onsite cognitive assessment. Polygenic risk scores explained 3.6% of the variance in crystallized intelligence. Our precision phenotyping approach could be used to enhance the etiologic signal in future genetic association studies and improve the detection and prevention of schizophrenia-spectrum psychopathology.
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Affiliation(s)
- Jeggan Tiego
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Kate Thompson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Kristina Sabaroedin
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Beth Johnson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
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16
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Chatwin H, Holde K, Yilmaz Z, Larsen JT, Albiñana C, Vilhjálmsson BJ, Mortensen PB, Thornton LM, Bulik CM, Petersen LV. Risk factors for anorexia nervosa: A population-based investigation of sex differences in polygenic risk and early life exposures. Int J Eat Disord 2023; 56:1703-1716. [PMID: 37232007 PMCID: PMC10524536 DOI: 10.1002/eat.23997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVE To examine sex differences in risk factors for anorexia nervosa (AN). METHOD This population-based study involved 44,743 individuals (6,239 AN cases including 5,818 females and 421 males, and 38,504 controls including 18,818 females and 19,686 males) born in Denmark between May 1981 and December 2009. Follow-up began on the individual's sixth birthday and ended at AN diagnosis, emigration, death, or December 31, 2016, whichever occurred first. Exposures included socioeconomic status (SES), pregnancy, birth, and early childhood factors based on data from Danish registers, and psychiatric and metabolic polygenic risk scores (PRS) based on genetic data. Hazard ratios were estimated using weighted Cox proportional hazards models stratified by sex (assigned at birth), with AN diagnosis as the outcome. RESULTS The effects of early life exposures and PRS on AN risk were comparable between females and males. Although we observed some differences in the magnitude and direction of effects, there were no significant interactions between sex and SES, pregnancy, birth, or early childhood exposures. The effects of most PRS on AN risk were highly similar between the sexes. We observed significant sex-specific effects of parental psychiatric history and body mass index PRS, though these effects did not survive corrections for multiple comparisons. CONCLUSIONS Risk factors for AN are comparable between females and males. Collaboration across countries with large registers is needed to further investigate sex-specific effects of genetic, biological, and environmental exposures on AN risk, including exposures in later childhood and adolescence as well as the additive effects of exposures. PUBLIC SIGNIFICANCE Sex differences in the prevalence and clinical presentation of AN warrant examination of sex-specific risk factors. This population-based study indicates that the effects of polygenic risk and early life exposures on AN risk are comparable between females and males. Collaboration between countries with large registers is needed to further investigate sex-specific AN risk factors and improve early identification of AN.
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Affiliation(s)
- Hannah Chatwin
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
| | - Katrine Holde
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
| | - Zeynep Yilmaz
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Janne Tidselbak Larsen
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Clara Albiñana
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
| | - Bjarni Jóhann Vilhjálmsson
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Preben Bo Mortensen
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Laura M Thornton
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Liselotte Vogdrup Petersen
- National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
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17
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Passiatore R, Antonucci LA, DeRamus TP, Fazio L, Stolfa G, Sportelli L, Kikidis GC, Blasi G, Chen Q, Dukart J, Goldman AL, Mattay VS, Popolizio T, Rampino A, Sambataro F, Selvaggi P, Ulrich W, Weinberger DR, Bertolino A, Calhoun VD, Pergola G. Changes in patterns of age-related network connectivity are associated with risk for schizophrenia. Proc Natl Acad Sci U S A 2023; 120:e2221533120. [PMID: 37527347 PMCID: PMC10410767 DOI: 10.1073/pnas.2221533120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/24/2023] [Indexed: 08/03/2023] Open
Abstract
Alterations in fMRI-based brain functional network connectivity (FNC) are associated with schizophrenia (SCZ) and the genetic risk or subthreshold clinical symptoms preceding the onset of SCZ, which often occurs in early adulthood. Thus, age-sensitive FNC changes may be relevant to SCZ risk-related FNC. We used independent component analysis to estimate FNC from childhood to adulthood in 9,236 individuals. To capture individual brain features more accurately than single-session fMRI, we studied an average of three fMRI scans per individual. To identify potential familial risk-related FNC changes, we compared age-related FNC in first-degree relatives of SCZ patients mostly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage. Then, we examined how polygenic risk scores for SCZ influenced risk-related FNC patterns. Finally, we investigated the same risk-related FNC patterns in adult SCZ patients (oSCZ) and young individuals with subclinical psychotic symptoms (PSY). Age-sensitive risk-related FNC patterns emerge during adolescence and early adulthood, but not before. Young SIB always followed older NC patterns, with decreased FNC in a cerebellar-occipitoparietal circuit and increased FNC in two prefrontal-sensorimotor circuits when compared to young NC. Two of these FNC alterations were also found in oSCZ, with one exhibiting reversed pattern. All were linked to polygenic risk for SCZ in unrelated individuals (R2 varied from 0.02 to 0.05). Young PSY showed FNC alterations in the same direction as SIB when compared to NC. These results suggest that age-related neurotypical FNC correlates with genetic risk for SCZ and is detectable with MRI in young participants.
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Affiliation(s)
- Roberta Passiatore
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
- Institute of Neuroscience and Medicine, Brain and Behavior, Research Centre Jülich, 52428Jülich, Germany
| | - Linda A. Antonucci
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
| | - Thomas P. DeRamus
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
| | - Leonardo Fazio
- Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, 70010Casamassima, Italy
| | - Giuseppe Stolfa
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
| | - Leonardo Sportelli
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Gianluca C. Kikidis
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Qiang Chen
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behavior, Research Centre Jülich, 52428Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225Düsseldorf, Germany
| | - Aaron L. Goldman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Venkata S. Mattay
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Neurology and Radiology, Johns Hopkins Medical Campus, 21287Baltimore, MD
| | - Teresa Popolizio
- Neuroradiology Unit, Scientific Institute for Research, Hospitalization and Health Care, Casa Sollievo della Sofferenza, 71013San Giovanni Rotondo, Foggia, Italy
| | - Antonio Rampino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Fabio Sambataro
- Section of Psychiatry, Department of Neuroscience, University of Padova, 35121Padua, Italy
| | - Pierluigi Selvaggi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - William Ulrich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Apulian Network on Risk for Psychosis
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Department of Mental Health, Azienda Sanitaria Locale Foggia, 71121Foggia, Italy
- Department of Clinical and Experimental Medicine, University of Foggia, 71122Foggia, Italy
- Department of Mental Health, Azienda Sanitaria Locale Barletta-Andria-Trani, 76123Andria, Italy
- Department of Mental Health, Azienda Sanitaria Locale Bari, 70132Bari, Italy
- Department of Mental Health, Azienda Sanitaria Locale Brindisi, 72100Brindisi, Italy
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Neurology and Radiology, Johns Hopkins Medical Campus, 21287Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205Baltimore, MD
- Department of Neuroscience, Johns Hopkins University School of Medicine, 21287Baltimore, MD
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, 21287Baltimore, MD
| | - Alessandro Bertolino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
| | - Giulio Pergola
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205Baltimore, MD
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Deng W, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Mathalon DH, Perkins DO, Seidman LJ, Tsuang MT, Woods SW, Walker EF, Cannon TD. Characterizing sustained social anxiety in individuals at clinical high risk for psychosis: trajectory, risk factors, and functional outcomes. Psychol Med 2023; 53:3644-3651. [PMID: 35144716 PMCID: PMC10277760 DOI: 10.1017/s0033291722000277] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 01/07/2022] [Accepted: 01/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND While comorbidity of clinical high-risk for psychosis (CHR-P) status and social anxiety is well-established, it remains unclear how social anxiety and positive symptoms covary over time in this population. The present study aimed to determine whether there are more than one covariant trajectory of social anxiety and positive symptoms in the North American Prodrome Longitudinal Study cohort (NAPLS 2) and, if so, to test whether the different trajectory subgroups differ in terms of genetic and environmental risk factors for psychotic disorders and general functional outcome. METHODS In total, 764 CHR individuals were evaluated at baseline for social anxiety and psychosis risk symptom severity and followed up every 6 months for 2 years. Application of group-based multi-trajectory modeling discerned three subgroups based on the covariant trajectories of social anxiety and positive symptoms over 2 years. RESULTS One of the subgroups showed sustained social anxiety over time despite moderate recovery in positive symptoms, while the other two showed recovery of social anxiety below clinically significant thresholds, along with modest to moderate recovery in positive symptom severity. The trajectory group with sustained social anxiety had poorer long-term global functional outcomes than the other trajectory groups. In addition, compared with the other two trajectory groups, membership in the group with sustained social anxiety was predicted by higher levels of polygenic risk for schizophrenia and environmental stress exposures. CONCLUSIONS Together, these analyses indicate differential relevance of sustained v. remitting social anxiety symptoms in the CHR-P population, which in turn may carry implications for differential intervention strategies.
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Affiliation(s)
- Wisteria Deng
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, Calgary, Canada
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | | | | | | | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, USA
| | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School, Boston, USA
- Massachusetts General Hospital, Boston, USA
| | | | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Elaine F. Walker
- Department of Psychology and Psychiatry, Emory University, Atlanta, USA
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
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19
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Ajmera V, Loomba R. Advances in the genetics of nonalcoholic fatty liver disease. Curr Opin Gastroenterol 2023; 39:150-155. [PMID: 37144531 PMCID: PMC10167543 DOI: 10.1097/mog.0000000000000927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
PURPOSE OF REVIEW Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease in the United States and has a strong heritable component. Advances in understanding the genetic underpinnings of NAFLD have revealed important insights into NAFLD pathogenesis, prognosis, and potential therapeutic targets. The purpose of this review is to summarize data on common and rare variants associated with NAFLD, combining risk variants into polygenic scores to predict NAFLD and cirrhosis as well as emerging evidence on using gene silencing as a novel therapeutic target in NAFLD. RECENT FINDINGS Protective variants in HSD17B13, MARC1 and CIDEB have been identified and a confer 10-50% lower risk of cirrhosis. Together, these as well as other NAFLD risk variants, including those in PNPLA3 and TM6SF2, can be combined to create polygenic risk scores associated with liver fat, cirrhosis, and hepatocellular carcinoma. Genomic analysis of extreme phenotypes including patients with lean NAFLD without visceral adiposity may uncover rare monogenic disorders with pathogenic and therapeutic implications and gene silencing strategies targeting HSD17B13 and PNPLA3 are being evaluated in early phase human studies as treatments for NAFLD. SUMMARY Advances in our understanding of the genetics of NAFLD will enable clinical risk stratification and yield potential therapeutic targets.
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Affiliation(s)
- Veeral Ajmera
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA
- School of Public Health, University of California at San Diego, La Jolla, CA, USA
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20
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Schick A, van Winkel R, Lin BD, Luykx JJ, de Zwarte SM, van Eijk KR, Myin-Germeys I, Reininghaus U. Polygenic risk, familial liability and stress reactivity in psychosis: an experience sampling study. Psychol Med 2023; 53:2798-2807. [PMID: 34991751 PMCID: PMC10235643 DOI: 10.1017/s0033291721004761] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 08/26/2021] [Accepted: 11/01/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND There is evidence for a polygenic contribution to psychosis. One targetable mechanism through which polygenic variation may impact on individuals and interact with the social environment is stress sensitization, characterized by elevated reactivity to minor stressors in daily life. The current study aimed to investigate whether stress reactivity is modified by polygenic risk score for schizophrenia (PRS) in cases with enduring non-affective psychotic disorder, first-degree relatives of cases, and controls. METHODS We used the experience sampling method to assess minor stressors, negative affect, positive affect and psychotic experiences in 96 cases, 79 first-degree relatives, i.e. siblings, and 73 controls at wave 3 of the Dutch Genetic Risk and Outcome of Psychosis (GROUP) study. Genome-wide data were collected at baseline to calculate PRS. RESULTS We found that associations of momentary stress with psychotic experiences, but not with negative and positive affect, were modified by PRS and group (all pFWE<0.001). In contrast to our hypotheses, siblings with high PRS reported less intense psychotic experiences in response to momentary stress compared to siblings with low PRS. No differences in magnitude of these associations were observed in cases with high v. low level of PRS. By contrast, controls with high PRS showed more intense psychotic experiences in response to stress compared to those with low PRS. CONCLUSIONS This tentatively suggests that polygenic risk may operate in different ways than previously assumed and amplify reactivity to stress in unaffected individuals but operate as a resilience factor in relatives by attenuating their stress reactivity.
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Affiliation(s)
- Anita Schick
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ruud van Winkel
- KU Leuven, Department of Neuroscience, Research Group Psychiatry, Center for Clinical Psychiatry, Leuven, Belgium
| | - Bochao D. Lin
- Department of Translational Neuroscience, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jurjen J. Luykx
- Department of Translational Neuroscience, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Second Opinion Outpatient Clinic, GGNet, Warnsveld, The Netherlands
| | - Sonja M.C. de Zwarte
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kristel R. van Eijk
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - GROUP Investigators
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Inez Myin-Germeys
- KU Leuven, Department of Neuroscience, Research Group Psychiatry, Center for Contextual Psychiatry, Leuven, Belgium
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- ESRC Centre for Society and Mental Health, King's College London, London, UK
- Center for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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21
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Tian T, Liu D, Zhang G, Wang J, Wan C, Fang J, Wu D, Zhou Y, Qin Y, Zhu H, Li Y, Liu C, Zhang J, Li J, Zhu W. Dynamic effective connectivity among large-scale brain networks mediates risk of anxiety. Hum Brain Mapp 2023; 44:3730-3743. [PMID: 37042391 DOI: 10.1002/hbm.26308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 02/02/2023] [Accepted: 03/29/2023] [Indexed: 04/13/2023] Open
Abstract
Anxiety is characterized by altered brain networks. Directional information flows among dynamic brain networks concerning neuropathogenesis of anxiety have not yet been investigated. The role of directional influences between networks in gene-environment effects on anxiety remains to be further elucidated. In a large community sample, this resting-state functional MRI study estimated dynamic effective connectivity among large-scale brain networks based on a sliding-window approach and Granger causality analysis, providing dynamic and directional information for signal transmission in networks. We first explored altered effective connectivity among networks related to anxiety in distinct connectivity states. Due to the potential gene-environment effects on brain and anxiety, we further performed mediation and moderated mediation analyses to investigate the role of altered effective connectivity networks in relationships between polygenic risk scores, childhood trauma, and anxiety. State and trait anxiety scores showed correlations with altered effective connectivity among extensive networks in distinct connectivity states (p < .05, uncorrected). Only in a more frequent and strongly connected state, there were significant correlations between altered effective connectivity networks and trait anxiety (PFDR <0.05). Furthermore, mediation and moderated mediation analyses showed that the effective connectivity networks played a mediating role in the effects of childhood trauma and polygenic risk on trait anxiety. State-dependent effective connectivity changes among brain networks were significantly related to trait anxiety, and mediated gene-environment effects on trait anxiety. Our work sheds novel light on the neurobiological mechanisms underlying anxiety, and provides new insights into early objective diagnosis and intervention evaluation.
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Affiliation(s)
- Tian Tian
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Dong Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Guiling Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Jian Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Changhua Wan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Jicheng Fang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Di Wu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Yiran Zhou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Yuanyuan Qin
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Hongquan Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Yuanhao Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Chengxia Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Jiaxuan Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Jia Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
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22
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Aas M, Alameda L, Di Forti M, Quattrone D, Dazzan P, Trotta A, Ferraro L, Rodriguez V, Vassos E, Sham P, Tripoli G, Cascia CL, Barbera DL, Tarricone I, Muratori R, Berardi D, Lasalvia A, Tosato S, Szöke A, Llorca PM, Arango C, Tortelli A, de Haan L, Velthorst E, Bobes J, Bernardo M, Sanjuán J, Santos JL, Arrojo M, Del-Ben CM, Menezes PR, Selten JP, Jones PB, Jongsma HE, Kirkbride JB, Rutten BPF, van Os J, Gayer-Anderson C, Murray RM, Morgan C. Synergistic effects of childhood adversity and polygenic risk in first-episode psychosis: the EU-GEI study. Psychol Med 2023; 53:1970-1978. [PMID: 37310339 PMCID: PMC10106300 DOI: 10.1017/s0033291721003664] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 08/08/2021] [Accepted: 08/18/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND A history of childhood adversity is associated with psychotic disorder, with an increase in risk according to the number of exposures. However, it is not known why only some exposed individuals go on to develop psychosis. One possibility is pre-existing polygenic vulnerability. Here, we investigated, in the largest sample of first-episode psychosis (FEP) cases to date, whether childhood adversity and high polygenic risk scores for schizophrenia (SZ-PRS) combine synergistically to increase the risk of psychosis, over and above the effect of each alone. METHODS We assigned a schizophrenia-polygenic risk score (SZ-PRS), calculated from the Psychiatric Genomics Consortium (PGC2), to all participants in a sample of 384 FEP patients and 690 controls from the case-control component of the EU-GEI study. Only participants of European ancestry were included in the study. A history of childhood adversity was collected using the Childhood Trauma Questionnaire (CTQ). Synergistic effects were estimated using the interaction contrast ratio (ICR) [odds ratio (OR)exposure and PRS - ORexposure - ORPRS + 1] with adjustment for potential confounders. RESULTS There was some evidence that the combined effect of childhood adversities and polygenic risk was greater than the sum of each alone, as indicated by an ICR greater than zero [i.e. ICR 1.28, 95% confidence interval (CI) -1.29 to 3.85]. Examining subtypes of childhood adversities, the strongest synergetic effect was observed for physical abuse (ICR 6.25, 95% CI -6.25 to 20.88). CONCLUSIONS Our findings suggest possible synergistic effects of genetic liability and childhood adversity experiences in the onset of FEP, but larger samples are needed to increase precision of estimates.
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Affiliation(s)
- Monica Aas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Norment, Oslo University Hospital, Oslo, Norway
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Instituto de Investigación Biomédica de Sevilla, Universidad de Sevilla, Seville, Spain
- Department of Psychiatry, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Sevilla, Spain
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Antonella Trotta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Laura Ferraro
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AE, UK
| | - Pak Sham
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Caterina La Cascia
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Daniele La Barbera
- Biomedicine, Neuroscience and Advanced Diagnostic (BiND) Department, University of Palermo, Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, 40126 Bologna, Italy
| | - Roberto Muratori
- Department of Mental Health and Pathological Addiction, Bologna Local Health Authority, Bologna, Italy
| | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, 40126 Bologna, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Andrei Szöke
- INSERM U955, Equipe 15, Institut National de la Santé et de la Recherche Médicale, 94010 Créteil, France
| | - Pierre-Michel Llorca
- CMPB CHU Clermont-Ferrand, EA 7280, University Clermont Auvergne, Clermont-Ferrand, France
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), 28007 Madrid, Spain
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, 75020 Paris, France
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, Location: Academic Medical Centre, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, Location: Academic Medical Centre, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - Julio Bobes
- Faculty of Medicine and Health Sciences – Psychiatry, Universidad de Oviedo, ISPA, INEUROPA, CIBERSAM, 33006 Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, University of Barcelona; IDIBAPS, CIBERSAM, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 46010 Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital ‘Virgen de la Luz’, 16002 Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatry Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo 14049-900, Brazil
| | - Paulo Rossi Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo 01246-903, Brazil
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, 2333 ZZ Leiden, The Netherlands
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, London W1T 7NF, UK
| | - James B. Kirkbride
- Psylife Group, Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Bart P. F. Rutten
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands
| | - Charlotte Gayer-Anderson
- Health Service and Population Research, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Craig Morgan
- Health Service and Population Research, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
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23
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Schaefer JD, Jang SK, Clark DA, Deak JD, Hicks BM, Iacono WG, Liu M, McGue M, Vrieze SI, Wilson S. Associations between polygenic risk of substance use and use disorder and alcohol, cannabis, and nicotine use in adolescence and young adulthood in a longitudinal twin study. Psychol Med 2023; 53:2296-2306. [PMID: 37310313 PMCID: PMC10123833 DOI: 10.1017/s0033291721004116] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 08/12/2021] [Accepted: 09/20/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Recent well-powered genome-wide association studies have enhanced prediction of substance use outcomes via polygenic scores (PGSs). Here, we test (1) whether these scores contribute to prediction over-and-above family history, (2) the extent to which PGS prediction reflects inherited genetic variation v. demography (population stratification and assortative mating) and indirect genetic effects of parents (genetic nurture), and (3) whether PGS prediction is mediated by behavioral disinhibition prior to substance use onset. METHODS PGSs for alcohol, cannabis, and nicotine use/use disorder were calculated for Minnesota Twin Family Study participants (N = 2483, 1565 monozygotic/918 dizygotic). Twins' parents were assessed for histories of substance use disorder. Twins were assessed for behavioral disinhibition at age 11 and substance use from ages 14 to 24. PGS prediction of substance use was examined using linear mixed-effects, within-twin pair, and structural equation models. RESULTS Nearly all PGS measures were associated with multiple types of substance use independently of family history. However, most within-pair PGS prediction estimates were substantially smaller than the corresponding between-pair estimates, suggesting that prediction is driven in part by demography and indirect genetic effects of parents. Path analyses indicated the effects of both PGSs and family history on substance use were mediated via disinhibition in preadolescence. CONCLUSIONS PGSs capturing risk of substance use and use disorder can be combined with family history measures to augment prediction of substance use outcomes. Results highlight indirect sources of genetic associations and preadolescent elevations in behavioral disinhibition as two routes through which these scores may relate to substance use.
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Affiliation(s)
| | - Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - D. Angus Clark
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Joseph D. Deak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Brian M. Hicks
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - William G. Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Scott I. Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Sylia Wilson
- Institute for Child Development, University of Minnesota, Minneapolis, MN, USA
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24
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Ochneva AG, Soloveva KP, Savenkova VI, Ikonnikova AY, Gryadunov DA, Andryuschenko AV. Modern Approaches to the Diagnosis of Cognitive Impairment and Alzheimer's Disease: A Narrative Literature Review. Consort Psychiatr 2023; 4:53-62. [PMID: 38239570 PMCID: PMC10790729 DOI: 10.17816/cp716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND The aging of the worlds population leads to an increase in the prevalence of age-related diseases, including cognitive impairment. At the stage of dementia, therapeutic interventions become usually ineffective. Therefore, researchers and clinical practitioners today are looking for methods that allow for early diagnosis of cognitive impairment, including techniques that are based on the use of biological markers. AIM The aim of this literature review is to delve into scientific papers that are centered on modern laboratory tests for Alzheimers disease, including tests for biological markers at the early stages of cognitive impairment. METHODS The authors have carried out a descriptive review of scientific papers published from 2015 to 2023. Studies that are included in the PubMed and Web of Science electronic databases were analyzed. A descriptive analysis was used to summarized the gleaned information. RESULTS Blood and cerebrospinal fluid (CSF) biomarkers, as well as the advantages and disadvantages of their use, are reviewed. The most promising neurotrophic, neuroinflammatory, and genetic markers, including polygenic risk models, are also discussed. CONCLUSION The use of biomarkers in clinical practice will contribute to the early diagnosis of cognitive impairment associated with Alzheimers disease. Genetic screening tests can improve the detection threshold of preclinical abnormalities in the absence of obvious symptoms of cognitive decline. The active use of biomarkers in clinical practice, in combination with genetic screening for the early diagnosis of cognitive impairment in Alzheimers disease, can improve the timeliness and effectiveness of medical interventions.
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25
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Dardani C, Schalbroeck R, Madley-Dowd P, Jones HJ, Strelchuk D, Hammerton G, Croft J, Sullivan SA, Zammit S, Selten JP, Rai D. Childhood Trauma As a Mediator of the Association Between Autistic Traits and Psychotic Experiences: Evidence From the Avon Longitudinal Study of Parents and Children Cohort. Schizophr Bull 2023; 49:364-374. [PMID: 36434745 PMCID: PMC10016398 DOI: 10.1093/schbul/sbac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Little is known on whether associations between childhood autistic traits and psychotic experiences persist into adulthood and whether genetic confounding and childhood trauma influence them. Here we investigate the associations between childhood autistic traits and psychotic experiences until young adulthood and assess the influence of schizophrenia polygenic risk and childhood traumatic experiences, using the Avon Longitudinal Study of Parents and Children (ALSPAC) population-based birth cohort. STUDY DESIGN We used a measure of broad autistic traits (autism factor mean score), and four dichotomised measures of autistic traits capturing social communication difficulties (age 7), repetitive behaviours (age 5), sociability (age 3), and pragmatic language (age 9). Psychotic experiences were assessed at ages 18 and 24 using the semi-structured Psychosis-Like Symptoms interview (PLIKSi). Traumatic experiences between ages 5 and 11 were assessed with questionnaires and interviews administered to children and parents at multiple ages. STUDY RESULTS Broad autistic traits, as well as social communication difficulties, were associated with psychotic experiences that were distressing and/or frequent until age 24 (autism factor mean score, n = 3707: OR 1.19, 95%CI 1.01-1.39; social communication difficulties, n = 3384: OR 1.54, 95%CI 0.97-2.45). Childhood trauma mediated a substantial proportion of the identified associations (~28% and 36% respectively, maximum n = 3577). Schizophrenia polygenic risk did not appear to confound the associations. Multiple imputation analyses (maximum n = 13 105) yielded comparable results. CONCLUSIONS Childhood trauma may be an important, potentially modifiable pathway between autistic features and later onset of psychotic psychopathology.
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Affiliation(s)
- Christina Dardani
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rik Schalbroeck
- Rivierduinen Institute for Mental Healthcare, Leiden, The Netherlands
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Paul Madley-Dowd
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hannah J Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Daniela Strelchuk
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gemma Hammerton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jazz Croft
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah A Sullivan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Stan Zammit
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Healthcare, Leiden, The Netherlands
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Dheeraj Rai
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
- Avon and Wiltshire Partnership NHS Mental Health Trust, Bath, UK
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26
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Ishorst N, Henschel L, Thieme F, Drichel D, Sivalingam S, Mehrem SL, Fechtner AC, Fazaal J, Welzenbach J, Heimbach A, Maj C, Borisov O, Hausen J, Raff R, Hoischen A, Dixon M, Rada-Iglesias A, Bartusel M, Rojas-Martinez A, Aldhorae K, Braumann B, Kruse T, Kirschneck C, Spanier G, Reutter H, Nowak S, Gölz L, Knapp M, Buness A, Krawitz P, Nöthen MM, Nothnagel M, Becker T, Ludwig KU, Mangold E. Identification of de novo variants in nonsyndromic cleft lip with/without cleft palate patients with low polygenic risk scores. Mol Genet Genomic Med 2023; 11:e2109. [PMID: 36468602 PMCID: PMC10009911 DOI: 10.1002/mgg3.2109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/04/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Nonsyndromic cleft lip with/without cleft palate (nsCL/P) is a congenital malformation of multifactorial etiology. Research has identified >40 genome-wide significant risk loci, which explain less than 40% of nsCL/P heritability. Studies show that some of the hidden heritability is explained by rare penetrant variants. METHODS To identify new candidate genes, we searched for highly penetrant de novo variants (DNVs) in 50 nsCL/P patient/parent-trios with a low polygenic risk for the phenotype (discovery). We prioritized DNV-carrying candidate genes from the discovery for resequencing in independent cohorts of 1010 nsCL/P patients of diverse ethnicities and 1574 population-matched controls (replication). Segregation analyses and rare variant association in the replication cohort, in combination with additional data (genome-wide association data, expression, protein-protein-interactions), were used for final prioritization. CONCLUSION In the discovery step, 60 DNVs were identified in 60 genes, including a variant in the established nsCL/P risk gene CDH1. Re-sequencing of 32 prioritized genes led to the identification of 373 rare, likely pathogenic variants. Finally, MDN1 and PAXIP1 were prioritized as top candidates. Our findings demonstrate that DNV detection, including polygenic risk score analysis, is a powerful tool for identifying nsCL/P candidate genes, which can also be applied to other multifactorial congenital malformations.
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Affiliation(s)
- Nina Ishorst
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Leonie Henschel
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Frederic Thieme
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Dmitriy Drichel
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Sugirthan Sivalingam
- Core Unit for Bioinformatic Analysis, Medical Faculty, University of Bonn, Bonn, Germany.,Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.,Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Sarah L Mehrem
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Ariane C Fechtner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Julia Fazaal
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Julia Welzenbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - André Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Carlo Maj
- Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Oleg Borisov
- Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Jonas Hausen
- Core Unit for Bioinformatic Analysis, Medical Faculty, University of Bonn, Bonn, Germany.,Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.,Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Ruth Raff
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michael Dixon
- Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
| | - Alvaro Rada-Iglesias
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/University of Cantabria, Santander, Spain
| | - Michaela Bartusel
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Augusto Rojas-Martinez
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.,Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Khalid Aldhorae
- Department of Orthodontics, College of Dentistry, Thamar University, Thamar, Yemen.,Department of Orthodontics, College of Dentistry, University of Ibn al-Nafis for Medical Sciences, Sanaa, Yemen
| | - Bert Braumann
- Faculty of Medicine and University Hospital Cologne, Department of Orthodontics, University of Cologne, Cologne, Germany
| | - Teresa Kruse
- Faculty of Medicine and University Hospital Cologne, Department of Orthodontics, University of Cologne, Cologne, Germany
| | | | - Gerrit Spanier
- Department of Cranio-Maxillofacial Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Heiko Reutter
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.,Division of Neonatology and Pediatric Intensive Care, Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Stefanie Nowak
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Lina Gölz
- Department of Orthodontics, University of Erlangen-Nürnberg, Erlangen, Germany.,Department of Orthodontics, University of Bonn, Bonn, Germany
| | - Michael Knapp
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Andreas Buness
- Core Unit for Bioinformatic Analysis, Medical Faculty, University of Bonn, Bonn, Germany.,Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.,Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Peter Krawitz
- Institute for Genomic Statistics and Bioinformatics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Michael Nothnagel
- Cologne Center for Genomics, University of Cologne, Cologne, Germany.,University Hospital Cologne, Cologne, Germany
| | - Tim Becker
- Institute of Community Medicine, University of Greifswald, Greifswald, Germany
| | - Kerstin U Ludwig
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Elisabeth Mangold
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
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Young MA, Yanes T, Cust AE, Dunlop K, Limb S, Newson AJ, Purvis R, Thiyagarajan L, Scott RJ, Verma K, James PA, Steinberg J. Human Genetics Society of Australasia Position Statement: Use of Polygenic Scores in Clinical Practice and Population Health. Twin Res Hum Genet 2023; 26:40-48. [PMID: 36950972 DOI: 10.1017/thg.2023.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
Considerable progress continues to be made with regards to the value and use of disease associated polygenic scores (PGS). PGS aim to capture a person's genetic liability to a condition, disease, or a trait, combining information across many risk variants and incorporating their effect sizes. They are already available for clinicians and consumers to order in Australasia. However, debate is ongoing over the readiness of this information for integration into clinical practice and population health. This position statement provides the viewpoint of the Human Genetics Society of Australasia (HGSA) regarding the clinical application of disease-associated PGS in both individual patients and population health. The statement details how PGS are calculated, highlights their breadth of possible application, and examines their current challenges and limitations. We consider fundamental lessons from Mendelian genetics and their continuing relevance to PGS, while also acknowledging the distinct elements of PGS. Use of PGS in practice should be evidence based, and the evidence for the associated benefit, while rapidly emerging, remains limited. Given that clinicians and consumers can already order PGS, their current limitations and key issues warrant consideration. PGS can be developed for most complex conditions and traits and can be used across multiple clinical settings and for population health. The HGSA's view is that further evaluation, including regulatory, implementation and health system evaluation are required before PGS can be routinely implemented in the Australasian healthcare system.
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Affiliation(s)
- Mary-Anne Young
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Tatiane Yanes
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Anne E Cust
- The Melanoma Institute Australia, The University of Sydney, NSW, Australia
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - Kate Dunlop
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - Sharne Limb
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospitals, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Ainsley J Newson
- The University of Sydney, Faculty of Medicine and Health, Sydney School of Public Health, Sydney Health Ethics. Sydney, New South Wales, Australia
| | - Rebecca Purvis
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospitals, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Lavvina Thiyagarajan
- The University of New South Wales, Sydney, New South Wales, Australia
- Sydney Children's Hospital Network, Sydney, New South Wales, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Health and Wellbeing, University of Newcastle, New South Wales, Australia
- Division of Molecular Medicine, NSW Health Pathology North, New Lambton, Newcastle, New South Wales, Australia
| | - Kunal Verma
- Monash Genetics, Monash Health, Melbourn, Victoria, Australia
- Monash Heart, Monash Health, Victoria, Australia
| | - Paul A James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospitals, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Julia Steinberg
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
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28
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Littlejohns TJ, Collister JA, Liu X, Clifton L, Tapela NM, Hunter DJ. Hypertension, a dementia polygenic risk score, APOE genotype, and incident dementia. Alzheimers Dement 2023; 19:467-476. [PMID: 35439339 DOI: 10.1002/alz.12680] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION There is inconsistent evidence on whether genetic risk for dementia modifies the association between hypertension and dementia. METHODS In 198,965 dementia-free participants aged ≥60 years, Cox proportional-hazards models were used to investigate the association between hypertension and incident dementia. A polygenic risk score (PRS) based on 38 non-apolipoprotein E (APOE) single nucleotide polymorphisms and APOE ε4 status were used to determine genetic risk for dementia. RESULTS Over 15 years follow-up, 6270 participants developed dementia. Hypertension was associated with a 19% increased risk of dementia (hazard ratio = 1.19, 95% confidence interval 1.11-1.27). The associations remained similar when stratifying by genetic risk, with no evidence for multiplicative interaction by dementia PRS (P = 0.20) or APOE ε4 status (P = 0.16). However, the risk difference between those with and without hypertension was larger among those at higher genetic risk. DISCUSSION Hypertension was associated with an increased risk of dementia regardless of genetic risk for dementia.
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Affiliation(s)
| | | | - Xiaonan Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lei Clifton
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Neo M Tapela
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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29
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Pacyna JE, Ennis JS, Kullo IJ, Sharp RR. Examining the Impact of Polygenic Risk Information in Primary Care. J Prim Care Community Health 2023; 14:21501319231151766. [PMID: 36718804 PMCID: PMC9893392 DOI: 10.1177/21501319231151766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Polygenic risk testing examines variation across multiple genes to estimate a risk score for a particular disease, including risk scores for many common, chronic health conditions. Although polygenic risk information (PRI) may be a promising tool for enhancing preventive counseling and facilitating early identification of disease, its potential impact on primary-care encounters and disease prevention efforts has not been well characterized. METHODS We conducted in-depth, semi-structured interviews of patients to assess their understandings of PRI and their beliefs about its relevance to disease prevention. RESULTS We completed interviews with 19 participants. Participants described enthusiasm for the generation of PRI and recognized its utility for disease prevention. Participants also described the value of PRI as limited if not corroborated by non-genetic risk factors. Finally, participants noted that PRI, by itself, would be insufficient as a trigger for initiating many preventive interventions. CONCLUSION PRI has the potential to become an important tool in primary care. However, patient views about PRI as well as the complexities of disease prevention in the primary care context may limit the impact of PRI on disease prevention.
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Affiliation(s)
- Joel E. Pacyna
- Biomedical Ethics Program, Mayo Clinic,
Rochester, MN, USA
| | | | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine,
Mayo Clinic, Rochester, MN, USA
| | - Richard R. Sharp
- Biomedical Ethics Program, Mayo Clinic,
Rochester, MN, USA
- Department of Quantitative Health
Sciences, Mayo Clinic, Rochester, MN, USA
- Center for Individualized Medicine,
Mayo Clinic, Rochester, MN, USA
- Richard R. Sharp, Biomedical Ethics
Program, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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30
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Namkung H, Yukitake H, Fukudome D, Lee BJ, Tian M, Ursini G, Saito A, Lam S, Kannan S, Srivastava R, Niwa M, Sharma K, Zandi P, Jaaro-Peled H, Ishizuka K, Chatterjee N, Huganir RL, Sawa A. The miR-124-AMPAR pathway connects polygenic risks with behavioral changes shared between schizophrenia and bipolar disorder. Neuron 2023; 111:220-235.e9. [PMID: 36379214 PMCID: PMC10183200 DOI: 10.1016/j.neuron.2022.10.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 08/16/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022]
Abstract
Schizophrenia (SZ) and bipolar disorder (BP) are highly heritable major psychiatric disorders that share a substantial portion of genetic risk as well as their clinical manifestations. This raises a fundamental question of whether, and how, common neurobiological pathways translate their shared polygenic risks into shared clinical manifestations. This study shows the miR-124-3p-AMPAR pathway as a key common neurobiological mediator that connects polygenic risks with behavioral changes shared between these two psychotic disorders. We discovered the upregulation of miR-124-3p in neuronal cells and the postmortem prefrontal cortex from both SZ and BP patients. Intriguingly, the upregulation is associated with the polygenic risks shared between these two disorders. Seeking mechanistic dissection, we generated a mouse model that upregulates miR-124-3p in the medial prefrontal cortex. We demonstrated that the upregulation of miR-124-3p increases GRIA2-lacking calcium-permeable AMPARs and perturbs AMPAR-mediated excitatory synaptic transmission, leading to deficits in the behavioral dimensions shared between SZ and BP.
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Affiliation(s)
- Ho Namkung
- Department of Biomedical Engineering, Baltimore, MD, USA; Department of Psychiatry, Baltimore, MD, USA
| | | | | | - Brian J Lee
- Department of Psychiatry, Baltimore, MD, USA
| | | | - Gianluca Ursini
- Department of Psychiatry, Baltimore, MD, USA; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | | | - Shravika Lam
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA
| | - Suvarnambiga Kannan
- Department of Psychiatry, Baltimore, MD, USA; Department of Mental Health, Baltimore, MD, USA
| | | | - Minae Niwa
- Department of Psychiatry, Baltimore, MD, USA
| | - Kamal Sharma
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA
| | - Peter Zandi
- Department of Psychiatry, Baltimore, MD, USA; Department of Mental Health, Baltimore, MD, USA; Department of Epidemiology, Baltimore, MD, USA
| | | | | | - Nilanjan Chatterjee
- Department of Epidemiology, Baltimore, MD, USA; Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Richard L Huganir
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Akira Sawa
- Department of Biomedical Engineering, Baltimore, MD, USA; Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA; Department of Pharmacology, Baltimore, MD, USA; Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Mental Health, Baltimore, MD, USA.
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31
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Dite GS, Spaeth E, Murphy NM, Allman R. A combined clinical and genetic model for predicting risk of ovarian cancer. Eur J Cancer Prev 2023; 32:57-64. [PMID: 36503897 PMCID: PMC9746333 DOI: 10.1097/cej.0000000000000771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/06/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Women with a family history of ovarian cancer or a pathogenic or likely pathogenic gene variant are at high risk of the disease, but very few women have these risk factors. We assessed whether a combined polygenic and clinical risk score could predict risk of ovarian cancer in population-based women who would otherwise be considered as being at average risk. METHODS We used the UK Biobank to conduct a prospective cohort study assessing the performance of 10-year ovarian cancer risks based on a polygenic risk score, a clinical risk score and a combined risk score. We used Cox regression to assess association, Harrell's C-index to assess discrimination and Poisson regression to assess calibration. RESULTS The combined risk model performed best and problems with calibration were overcome by recalibrating the model, which then had a hazard ratio per quintile of risk of 1.338 [95% confidence interval (CI), 1.152-1.553], a Harrell's C-index of 0.663 (95% CI, 0.629-0.698) and overall calibration of 1.000 (95% CI, 0.874-1.145). In the refined model with estimates based on the entire dataset, women in the top quintile of 10-year risk were at 1.387 (95% CI, 1.086-1.688) times increased risk, while women in the top quintile of full-lifetime risk were at 1.527 (95% CI, 1.187-1.866) times increased risk compared with the population. CONCLUSION Identification of women who are at high risk of ovarian cancer can allow healthcare providers and patients to engage in joint decision-making discussions around the risks and benefits of screening options or risk-reducing surgery.
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Affiliation(s)
| | - Erika Spaeth
- Phenogen Sciences Inc, Charlotte, North Carolina, USA
| | | | - Richard Allman
- Genetic Technologies Limited, Fitzroy, Victoria, Australia
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32
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Eissman JM, Wells G, Khan OA, Liu D, Petyuk VA, Gifford KA, Dumitrescu L, Jefferson AL, Hohman TJ. Polygenic resilience score may be sensitive to preclinical Alzheimer's disease changes. Pac Symp Biocomput 2023; 28:449-460. [PMID: 36540999 PMCID: PMC9888419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Late-onset Alzheimer's disease (LOAD) is a polygenic disorder with a long prodromal phase, making early diagnosis challenging. Twin studies estimate LOAD as 60-80% heritable, and while common genetic variants can account for 30% of this heritability, nearly 70% remains "missing". Polygenic risk scores (PRS) leverage combined effects of many loci to predict LOAD risk, but often lack sensitivity to preclinical disease changes, limiting clinical utility. Our group has built and published on a resilience phenotype to model better-than-expected cognition give amyloid pathology burden and hypothesized it may assist in preclinical polygenic risk prediction. Thus, we built a LOAD PRS and a resilience PRS and evaluated both in predicting cognition in a dementia-free cohort (N=254). The LOAD PRS had a significant main effect on baseline memory (β=-0.18, P=1.68E-03). Both the LOAD PRS (β=-0.03, P=1.19E-03) and the resilience PRS (β=0.02, P=0.03) had significant main effects on annual memory decline. The resilience PRS interacted with CSF Aβ on baseline memory (β=-6.04E-04, P=0.02), whereby it predicted baseline memory among Aβ+ individuals (β=0.44, P=0.01) but not among Aβ- individuals (β=0.06, P=0.46). Excluding APOE from PRS resulted in mainly LOAD PRS associations attenuating, but notably the resilience PRS interaction with CSF Aβ and selective prediction among Aβ+ individuals was consistent. Although the resilience PRS is currently somewhat limited in scope from the phenotype's cross-sectional nature, our results suggest that the resilience PRS may be a promising tool in assisting in preclinical disease risk prediction among dementia-free and Aβ+ individuals, though replication and fine-tuning are needed.
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Affiliation(s)
- Jaclyn M. Eissman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Greyson Wells
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Omair A. Khan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Dandan Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Vladislav A. Petyuk
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest, National Laboratory, Richland, WA 99354, USA
| | - Katherine A. Gifford
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Angela L. Jefferson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN 37212, USA,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37212, USA,
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33
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Astore C, Nagpal S, Gibson G. Mendelian Randomization Indicates a Causal Role for Omega-3 Fatty Acids in Inflammatory Bowel Disease. Int J Mol Sci 2022; 23:ijms232214380. [PMID: 36430859 PMCID: PMC9698476 DOI: 10.3390/ijms232214380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/22/2022] Open
Abstract
Inflammatory bowel disease (IBD) is characterized by chronic inflammation of the gastrointestinal system. Omega-3 (ω3) fatty acids are polyunsaturated fatty acids (PUFAs) that are largely obtained from diet and have been speculated to decrease the inflammatory response that is involved in IBD; however, the causality of this association has not been established. A two-sample Mendelian randomization (MR) was used to assess genetic associations between 249 circulating metabolites measured in the UK Biobank as exposures and IBD as the outcome. The genome-wide association study summary level data for metabolite measurements and IBD were derived from large European ancestry cohorts. We observed ω3 fatty acids as a significant protective association with IBD, with multiple modes of MR evidence replicated in three IBD summary genetic datasets. The instrumental variables that were involved in the causal association of ω3 fatty acids with IBD highlighted an intronic SNP, rs174564, in FADS2, a protein engaged in the first step of alpha-linolenic acid desaturation leading to anti-inflammatory EPA and thence DHA production. A low ratio of ω3 to ω6 fatty acids was observed to be a causal risk factor, particularly for Crohn's disease. ω3 fatty acid supplementation may provide anti-inflammatory responses that are required to attenuate inflammation that is involved in IBD.
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34
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Mayerhofer E, Malik R, Parodi L, Burgess S, Harloff A, Dichgans M, Rosand J, Anderson CD, Georgakis MK. Genetically predicted on-statin LDL response is associated with higher intracerebral haemorrhage risk. Brain 2022; 145:2677-2686. [PMID: 35598204 PMCID: PMC9612789 DOI: 10.1093/brain/awac186] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/30/2022] [Accepted: 05/12/2022] [Indexed: 11/14/2022] Open
Abstract
Statins lower low-density lipoprotein cholesterol and are widely used for the prevention of atherosclerotic cardiovascular disease. Whether statin-induced low-density lipoprotein reduction increases risk of intracerebral haemorrhage has been debated for almost two decades. Here, we explored whether genetically predicted on-statin low-density lipoprotein response is associated with intracerebral haemorrhage risk using Mendelian randomization. Using genomic data from randomized trials, we derived a polygenic score from 35 single nucleotide polymorphisms of on-statin low-density lipoprotein response and tested it in the population-based UK Biobank. We extracted statin drug and dose information from primary care data on a subset of 225 195 UK Biobank participants covering a period of 29 years. We validated the effects of the genetic score on longitudinal low-density lipoprotein measurements with generalized mixed models and explored associations with incident intracerebral haemorrhage using Cox regression analysis. Statins were prescribed at least once to 75 973 (31%) of the study participants (mean 57 years, 55% females). Among statin users, mean low-density lipoprotein decreased by 3.45 mg/dl per year [95% confidence interval (CI): (-3.47, -3.42)] over follow-up. A higher genetic score of statin response [1 standard deviation (SD) increment] was associated with significant additional reductions in low-density lipoprotein levels [-0.05 mg/dl per year, (-0.07, -0.02)], showed concordant lipidomic effects on other lipid traits as statin use and was associated with a lower risk for incident myocardial infarction [hazard ratio per SD increment 0.98 95% CI (0.96, 0.99)] and peripheral artery disease [hazard ratio per SD increment 0.93 95% CI (0.87, 0.99)]. Over a 11-year follow-up period, a higher genetically predicted statin response among statin users was associated with higher intracerebral haemorrhage risk in a model adjusting for statin dose [hazard ratio per SD increment 1.16, 95% CI (1.05, 1.28)]. On the contrary, there was no association with intracerebral haemorrhage risk among statin non-users (P = 0.89). These results provide further support for the hypothesis that statin-induced low-density lipoprotein reduction may be causally associated with intracerebral haemorrhage risk. While the net benefit of statins for preventing vascular disease is well-established, these results provide insights about the personalized response to statin intake and the role of pharmacological low-density lipoprotein lowering in the pathogenesis of intracerebral haemorrhage.
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Affiliation(s)
- Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology and Neurophysiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen Burgess
- University of Cambridge, MRC Biostatistics Unit, Cambridge, UK
| | - Andreas Harloff
- Department of Neurology and Neurophysiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Marios K Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
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35
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Laza-Vásquez C, Martínez-Alonso M, Forné-Izquierdo C, Vilaplana-Mayoral J, Cruz-Esteve I, Sánchez-López I, Reñé-Reñé M, Cazorla-Sánchez C, Hernández-Andreu M, Galindo-Ortego G, Llorens-Gabandé M, Pons-Rodríguez A, Rué M. Feasibility and Acceptability of Personalized Breast Cancer Screening (DECIDO Study): A Single-Arm Proof-of-Concept Trial. Int J Environ Res Public Health 2022; 19:10426. [PMID: 36012059 PMCID: PMC9407798 DOI: 10.3390/ijerph191610426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 08/11/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
The aim of this study was to assess the acceptability and feasibility of offering risk-based breast cancer screening and its integration into regular clinical practice. A single-arm proof-of-concept trial was conducted with a sample of 387 women aged 40-50 years residing in the city of Lleida (Spain). The study intervention consisted of breast cancer risk estimation, risk communication and screening recommendations, and a follow-up. A polygenic risk score with 83 single nucleotide polymorphisms was used to update the Breast Cancer Surveillance Consortium risk model and estimate the 5-year absolute risk of breast cancer. The women expressed a positive attitude towards varying the frequency of breast screening according to individual risk and, especially, more frequently inviting women at higher-than-average risk. A lower intensity screening for women at lower risk was not as welcome, although half of the participants would accept it. Knowledge of the benefits and harms of breast screening was low, especially with regard to false positives and overdiagnosis. The women expressed a high understanding of individual risk and screening recommendations. The participants' intention to participate in risk-based screening and satisfaction at 1-year were very high.
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Affiliation(s)
- Celmira Laza-Vásquez
- Department of Nursing and Physiotherapy and Health Care Research Group (GRECS), IRBLleida—Institut de Recerca Biomèdica de Lleida, University of Lleida, 25198 Lleida, Spain
| | - Montserrat Martínez-Alonso
- IRBLleida—Institut de Recerca Biomèdica de Lleida, Department of Basic Medical Sciences, University of Lleida, 25198 Lleida, Spain
| | - Carles Forné-Izquierdo
- Department of Basic Medical Sciences, University of Lleida, 25198 Lleida, Spain
- Heorfy Consulting, 25007 Lleida, Spain
| | - Jordi Vilaplana-Mayoral
- Department of Computing and Industrial Engineering, University of Lleida, 25001 Lleida, Spain
| | - Inés Cruz-Esteve
- Primer de Maig Basic Health Area, Catalan Institute of Health, 25003 Lleida, Spain
| | | | - Mercè Reñé-Reñé
- Department of Radiology, Arnau de Vilanova University Hospital, 25198 Lleida, Spain
| | | | | | | | | | - Anna Pons-Rodríguez
- Example Basic Health Area, Catalan Institute of Health, 25006 Lleida, Spain
- Health PhD Program, University of Lleida, 25198 Lleida, Spain
| | - Montserrat Rué
- IRBLleida—Institut de Recerca Biomèdica de Lleida, Department of Basic Medical Sciences, University of Lleida, 25198 Lleida, Spain
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Speyer LG, Neaves S, Hall HA, Hemani G, Lombardo MV, Murray AL, Auyeung B, Luciano M. Polygenic risks for joint developmental trajectories of internalizing and externalizing problems: findings from the ALSPAC cohort. J Child Psychol Psychiatry 2022; 63:948-956. [PMID: 34856637 DOI: 10.1111/jcpp.13549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/22/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Joint developmental trajectories of internalizing and externalizing problems show considerable heterogeneity; however, this can be parsed into a small number of meaningful subgroups. Doing so offered insights into risk factors that lead to different patterns of internalizing/externalizing trajectories. However, despite both domains of problems showing strong heritability, no study has yet considered genetic risks as predictors of joint internalizing/externalizing problem trajectories. METHODS Using parallel process latent class growth analysis, we estimated joint developmental trajectories of internalizing and externalizing difficulties assessed across ages 4 to 16 using the Strengths and Difficulties Questionnaire. Multinomial logistic regression was used to evaluate a range of demographic, perinatal, maternal mental health, and child and maternal polygenic predictors of group membership. Participants included 11,049 children taking part in the Avon Longitudinal Study of Parents and Children. Polygenic data were available for 7,127 children and 6,836 mothers. RESULTS A 5-class model was judged optimal: Unaffected, Moderate Externalizing Symptoms, High Externalizing Symptoms, Moderate Internalizing and Externalizing Symptoms and High Internalizing and Externalizing Symptoms. Male sex, lower maternal age, maternal mental health problems, maternal smoking during pregnancy, higher child polygenic risk scores for ADHD and lower polygenic scores for IQ distinguished affected classes from the unaffected class. CONCLUSIONS While affected classes could be relatively well separated from the unaffected class, phenotypic and polygenic predictors were limited in their ability to distinguish between different affected classes. Results thus add to existing evidence that internalizing and externalizing problems have mostly shared risk factors.
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Affiliation(s)
- Lydia Gabriela Speyer
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Cambridge, Cambridge, UK
| | - Samuel Neaves
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Gibran Hemani
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael Vincent Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Bonnie Auyeung
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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Abstract
Background Recent genetic discoveries in stroke have unleashed the potential of using genetic information for risk prediction and health interventions aimed at disease prevention. We sought to estimate the lifetime risk of stroke (LTRS) by levels of genetic risk and to investigate whether optimal cardiovascular health can offset the negative impact of high genetic risk on lifetime risk of stroke. Methods and Results Study participants were 11 568 middle‐aged adults (56% women, 23% Black adults), who were free of stroke at baseline and were followed up for a median of 28 years. The remaining LTRS was estimated according to levels of genetic risk based on a validated stroke polygenic risk score, and to levels of cardiovascular health based on the American Heart Association Life's Simple 7 recommendations. At age 45, individuals with high, intermediate, and low polygenic risk score had a remaining LTRS of 23.2% (95% CI, 20.8%–25.5%), 13.8% (95% CI, 11.7%–15.8%), and 9.6% (95% CI, 7.3%–11.8%), respectively. Those with both a high genetic risk and an inadequate Life's Simple 7 experienced the highest LTRS: 24.8% (95% CI, 22.0%–27.6%). Across all polygenic risk score categories, those with an optimal Life's Simple 7 had a ≈30% to 43% lower LTRS than those with an inadequate Life's Simple 7. This corresponded to almost 6 additional years lived free of stroke. Conclusions The LTRS varies by levels of polygenic risk and cardiovascular health. Maintaining an optimal cardiovascular health can partially offset a high genetic risk, emphasizing the importance of modifiable risk factors and illustrating the potential of personalizing genetic risk information to motivate lifestyle changes for stroke prevention.
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Affiliation(s)
- Emy A Thomas
- Brown Foundation Institute of Molecular Medicine McGovern Medical School, University of Texas Health Science Center at Houston Houston TX
| | - Nitesh Enduru
- Brown Foundation Institute of Molecular Medicine McGovern Medical School, University of Texas Health Science Center at Houston Houston TX
| | - Adrienne Tin
- Department of Medicine University of Mississippi Jackson MS
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health University of Texas Health Science Center at Houston Houston TX
| | | | - Thomas H Mosley
- Department of Medicine University of Mississippi Jackson MS.,The MIND Center University of Mississippi Medical Center Jackson MS
| | - Rebecca F Gottesman
- Stroke Branch National Institute of Neurological Disorders and Stroke Bethesda MD
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine McGovern Medical School, University of Texas Health Science Center at Houston Houston TX.,Human Genetics Center, School of Public Health University of Texas Health Science Center at Houston Houston TX
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Coon H, Shabalin A, Bakian AV, DiBlasi E, Monson ET, Kirby A, Chen D, Fraser A, Yu Z, Staley M, Callor WB, Christensen ED, Crowell SE, Gray D, Crockett DK, Li QS, Keeshin B, Docherty AR. Extended familial risk of suicide death is associated with younger age at death and elevated polygenic risk of suicide. Am J Med Genet B Neuropsychiatr Genet 2022; 189:60-73. [PMID: 35212135 PMCID: PMC9149029 DOI: 10.1002/ajmg.b.32890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 11/19/2021] [Accepted: 01/31/2022] [Indexed: 12/12/2022]
Abstract
Suicide accounts for >800,000 deaths annually worldwide; prevention is an urgent public health issue. Identification of risk factors remains challenging due to complexity and heterogeneity. The study of suicide deaths with increased extended familial risk provides an avenue to reduce etiological heterogeneity and explore traits associated with increased genetic liability. Using extensive genealogical records, we identified high-risk families where distant relatedness of suicides implicates genetic risk. We compared phenotypic and polygenic risk score (PRS) data between suicides in high-risk extended families (high familial risk (HFR), n = 1,634), suicides linked to genealogical data not in any high-risk families (low familial risk (LFR), n = 147), and suicides not linked to genealogical data with unknown familial risk (UFR, n = 1,865). HFR suicides were associated with lower age at death (mean = 39.34 years), more suicide attempts, and more PTSD and trauma diagnoses. For PRS tests, we included only suicides with >90% European ancestry and adjusted for residual ancestry effects. HFR suicides showed markedly higher PRS of suicide death (calculated using cross-validation), supporting specific elevation of genetic risk of suicide in this subgroup, and also showed increased PRS of PTSD, suicide attempt, and risk taking. LFR suicides were substantially older at death (mean = 49.10 years), had fewer psychiatric diagnoses of depression and pain, and significantly lower PRS of depression. Results suggest extended familiality and trauma/PTSD may provide specificity in identifying individuals at genetic risk for suicide death, especially among younger ages, and that LFR of suicide warrants further study regarding the contribution of demographic and medical risks.
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Affiliation(s)
- Hilary Coon
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Andrey Shabalin
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Amanda V. Bakian
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Emily DiBlasi
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Eric T. Monson
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Anne Kirby
- Department of Occupational TherapyUniversity of UtahSalt Lake CityUtahUSA
| | - Danli Chen
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Alison Fraser
- Pedigree & Population Resource, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Zhe Yu
- Pedigree & Population Resource, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Michael Staley
- Utah State Office of the Medical ExaminerUtah Department of HealthSalt Lake CityUtahUSA
| | | | - Erik D. Christensen
- Utah State Office of the Medical ExaminerUtah Department of HealthSalt Lake CityUtahUSA
| | | | - Douglas Gray
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
| | | | - Qingqin S. Li
- Neuroscience Therapeutic AreaJanssen Research & Development LLCTitusvilleUtahUSA
| | - Brooks Keeshin
- Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
- Primary Children's Hospital Center for Safe and Healthy FamiliesSalt Lake CityUtahUSA
| | - Anna R. Docherty
- Department of Psychiatry & Huntsman Mental Health InstituteUniversity of UtahSalt Lake CityUtahUSA
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van Sprang ED, Maciejewski DF, Milaneschi Y, Elzinga BM, Beekman ATF, Hartman CA, van Hemert AM, Penninx BWJH. Familial risk for depressive and anxiety disorders: associations with genetic, clinical, and psychosocial vulnerabilities. Psychol Med 2022; 52:696-706. [PMID: 32624018 PMCID: PMC8961330 DOI: 10.1017/s0033291720002299] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/21/2020] [Accepted: 06/09/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND In research and clinical practice, familial risk for depression and anxiety is often constructed as a simple Yes/No dichotomous family history (FH) indicator. However, this measure may not fully capture the liability to these conditions. This study investigated whether a continuous familial loading score (FLS), incorporating family- and disorder-specific characteristics (e.g. family size, prevalence of depression/anxiety), (i) is associated with a polygenic risk score (PRS) for major depression and with clinical/psychosocial vulnerabilities and (ii) still captures variation in clinical/psychosocial vulnerabilities after information on FH has been taken into account. METHODS Data came from 1425 participants with lifetime depression and/or anxiety from the Netherlands Study of Depression and Anxiety. The Family Tree Inventory was used to determine FLS/FH indicators for depression and/or anxiety. RESULTS Persons with higher FLS had higher PRS for major depression, more severe depression and anxiety symptoms, higher disease burden, younger age of onset, and more neuroticism, rumination, and childhood trauma. Among these variables, FH was not associated with PRS, severity of symptoms, and neuroticism. After regression out the effect of FH from the FLS, the resulting residualized measure of FLS was still associated with severity of symptoms of depression and anxiety, rumination, and childhood trauma. CONCLUSIONS Familial risk for depression and anxiety deserves clinical attention due to its associated genetic vulnerability and more unfavorable disease profile, and seems to be better captured by a continuous score that incorporates family- and disorder-specific characteristics than by a dichotomous FH measure.
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Affiliation(s)
- Eleonore D. van Sprang
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Dominique F. Maciejewski
- Department of Developmental Psychopathology, Behavioral Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Yuri Milaneschi
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Bernet M. Elzinga
- Institute of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - Aartjan T. F. Beekman
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, Groningen, The Netherlands
| | - Albert M. van Hemert
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Brenda W. J. H. Penninx
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Lui A, Martinez ME, Rose BS, Mahal B, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Tangen CM, Goodman PJ, Thompson IM Jr, Blot WJ, Zheng W, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Park JY, Lin HY, Taylor JA, Bensen JT, Mohler JL, Fontham ETH, Multigner L, Blanchet P, Brureau L, Romana M, Leach RJ, John EM, Fowke JH, Bush WS, Aldrich MC, Crawford DC, Cullen J, Petrovics G, Parent MÉ, Hu JJ, Sanderson M, Mills IG, Andreassen OA, Dale AM, Seibert TM; UKGPCS Collaborators, PRACTICAL Consortium. Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24. Prostate Cancer Prostatic Dis 2022; 25:229-37. [PMID: 34127801 DOI: 10.1038/s41391-021-00403-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/07/2021] [Accepted: 05/27/2021] [Indexed: 12/02/2022]
Abstract
BACKGROUND We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. MATERIALS AND METHODS Genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with the performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. RESULTS CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our data set with 1000 Genomes, we identified significant associations between continental and calibration groupings. CONCLUSION We identified PCs within 8q24 that were strongly associated with the performance of PHS46+African. Further research to improve the clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry.
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Yao R, Zhou Y, Tang J, Li N, Yu T, He Y, Wang C, Wang J, Wang J. Genetic Diagnosis Spectrum and Multigenic Burden of Exome-Level Rare Variants in a Childhood Epilepsy Cohort. Front Genet 2022; 12:782419. [PMID: 34992632 PMCID: PMC8725238 DOI: 10.3389/fgene.2021.782419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/22/2021] [Indexed: 12/02/2022] Open
Abstract
Childhood epilepsy is a considerably heterogeneous neurological condition with a high worldwide incidence. Genetic diagnosis of childhood epilepsy provides the most accurate pathogenetic evidence; however, a large proportion of highly suspected cases remain undiagnosed. Accumulation of rare variants at the exome level as a multigenic burden contributing to childhood epilepsy should be further evaluated. In this retrospective analysis, exome-level sequencing was used to depict the mutation spectra of 294 childhood epilepsy patients from Shanghai Children’s Medical Center, Department of Neurology. Furthermore, variant information from exome sequencing data was analyzed apart from monogenic diagnostic purposes to elucidate the possible multigenic burden of rare variants related to epilepsy pathogenesis. Exome sequencing reached a diagnostic rate of 30.61% and identified six genes not currently listed in the epilepsy-associated gene list. A multigenic burden study revealed a three-fold possibility that deleterious missense mutations in ion channel and synaptic genes in the undiagnosed cohort may contribute to the genetic risk of childhood epilepsy, whereas variants in the gene categories of cell growth, metabolic, and regulatory function showed no significant difference. Our study provides a comprehensive overview of the genetic diagnosis of a Chinese childhood epilepsy cohort and provides novel insights into the genetic background of these patients. Harmful missense mutations in genes related to ion channels and synapses are most likely to produce a multigenic burden in childhood epilepsy.
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Affiliation(s)
- Ruen Yao
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yunqing Zhou
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Tang
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Niu Li
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tingting Yu
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yingzhong He
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Cuijin Wang
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiwen Wang
- Department of Neurology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian Wang
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Wimberley T, Brikell I, Pedersen EM, Agerbo E, Vilhjálmsson BJ, Albiñana C, Privé F, Thapar A, Langley K, Riglin L, Simonsen M, Nielsen HS, Børglum AD, Nordentoft M, Mortensen PB, Dalsgaard S. Early-Life Injuries and the Development of Attention-Deficit/Hyperactivity Disorder. J Clin Psychiatry 2022; 83:21m14033. [PMID: 34985833 PMCID: PMC7612325 DOI: 10.4088/jcp.21m14033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/29/2022]
Abstract
Objective: To estimate phenotypic and familial association between early-life injuries and attention-deficit/hyperactivity disorder (ADHD) and the genetic contribution to the association using polygenic risk score for ADHD (PRS-ADHD) and genetic correlation analyses. Methods: Children born in Denmark between 1995-2010 (n = 786,543) were followed from age 5 years until a median age of 14 years (interquartile range: 10-18 years). Using ICD-10 diagnoses, we estimated hazard ratios (HRs) and absolute risks of ADHD by number of hospital/emergency ward-treated injuries by age 5. In a subset of ADHD cases and controls born 1995 to 2005 who had genetic data available (n = 16,580), we estimated incidence rate ratios (IRRs) for the association between PRS-ADHD and number of injuries before age 5 and the genetic correlation between ADHD and any injury before age 5. Results: Injuries were associated with ADHD (HR = 1.61; 95% CI, 1.55-1.66) in males (HR = 1.59; 1.53-1.65) and females (HR = 1.65; 1.54-1.77), with a dose-response relationship with number of injuries. The absolute ADHD risk by age 15 was 8.4% (3+ injuries) vs 3.1% (no injuries). ADHD was also associated with injuries in relatives, with a stronger association in first- than second-degree relatives. PRS-ADHD was marginally associated with the number of injuries in the general population (IRR = 1.06; 1.00-1.14), with a genetic correlation of 0.53 (0.21-0.85). Conclusions: Early-life injuries in individuals and their relatives were associated with a diagnosis of ADHD. However, even in children with the most injuries, more than 90% were not diagnosed with ADHD by age 15. Despite a low positive predictive value and that the impact of unmeasured factors such as parental behavior remains unclear, results indicate that the association is partly explained by genetics, suggesting that early-life injuries may represent or herald early behavioral manifestations of ADHD.
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Affiliation(s)
- Theresa Wimberley
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark.,National Centre for Register-based Research (NCRR), Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.,Centre for Integrated Register-based Research, Aarhus University (CIRRAU), Aarhus, Denmark.,Corresponding author: Theresa Wimberley, PhD, The National Centre for Register-based Research, Aarhus BSS, Aarhus University, Fuglesangs Allé 26, DK-8210 Aarhus V
| | - Isabell Brikell
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Emil M Pedersen
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Bjarni J Vilhjálmsson
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Clara Albiñana
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Florian Privé
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Kate Langley
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom,School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Marianne Simonsen
- CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark,Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Helena S Nielsen
- Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Anders D Børglum
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark,Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark
| | - Merete Nordentoft
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark
| | - Preben B Mortensen
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Søren Dalsgaard
- iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark,NCRR - National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark,CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
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Spencer BE, Banks SJ, Dale AM, Brewer JB, Makowski‐Woidan B, Weintraub S, Mesulam M, Geula C, Rogalski E. Alzheimer's polygenic hazard score in SuperAgers: SuperGenes or SuperResilience? Alzheimers Dement (N Y) 2022; 8:e12321. [PMID: 35929001 PMCID: PMC9345399 DOI: 10.1002/trc2.12321] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 02/01/2023]
Abstract
Introduction SuperAgers are individuals over age 80 with superior episodic memory, at a level consistent with individuals 20 to 30 years their junior and who seem to show resistance to age-related neurofibrillary degeneration. Here we examine whether low genetic risk for Alzheimer's disease (AD) contributes to SuperAgers' unusually high episodic memory performance in advanced age. Methods The AD polygenic hazard score (PHS) was calculated for each SuperAger and cognitively normal participant and compared between groups. Results A total of 37 SuperAgers (73% female, mean [standard deviation] 82.7 [2.8] years old) and 35 controls (54% female, 83.7 [4.3] years old) were included. There was no significant difference in the AD PHS between SuperAgers and cognitively normal controls. Discussion Unusually successful cognitive aging cannot be simply explained by low polygenic risk for AD as assessed by common genetic variants. However, rare variants and common protective genetic factors may contribute to resistance or resilience. Highlights SuperAging cannot be simply explained by low polygenic risk for Alzheimer's disease.Rare variants and common protective genetic factors may contribute to SuperAging.A protective factors polygenic score may uncover mechanisms for SuperAging.
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Affiliation(s)
| | - Sarah J. Banks
- University of California, San Diego, La JollaCaliforniaUSA
| | - Anders M. Dale
- University of California, San Diego, La JollaCaliforniaUSA
| | | | - Beth Makowski‐Woidan
- Mesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - M.‐Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of NeurologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's DiseaseNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
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Zhu BB, Gao H, Geng ML, Wu X, Tong J, Deng F, Zhang SY, Wu LH, Huang K, Wu XY, Gan H, Zhu P, Tao FB. Sex Discrepancy Observed for Gestational Metabolic Syndrome Parameters and Polygenic Risk Associated With Preschoolers' BMI Growth Trajectory: The Ma'anshan Birth Cohort Study. Front Endocrinol (Lausanne) 2022; 13:857711. [PMID: 35846310 PMCID: PMC9283700 DOI: 10.3389/fendo.2022.857711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Few studies have investigated the associations of childhood growth trajectories with the prenatal metabolic risks of mothers and their interaction with children's genetic susceptibility. OBJECTIVE To investigate the effects of gestational metabolic syndrome (GMS) risks and children's polygenic risk scores (PRSs), and their interaction effect on the BMI trajectory and obesity risk of offspring from birth to 6 years of age. METHODS A total of 2,603 mother-child pairs were recruited from the Ma'anshan birth cohort (Anhui Province of China) study. Data on maternal prepregnancy obesity, gestational weight gain (GWG), gestational diabetes mellitus (GDM), and hypertensive disorders of pregnancy (HDP) were used to evaluate maternal GMS risk. In addition, 1,482 cord blood samples were used to genotype 11 candidate single-nucleotide polymorphisms (SNPs) to calculate children's PRSs. The latent class growth model using the longitudinal BMI-for-age z scores (BMIz) was applied to validly capture the BMIz growth trajectory. RESULTS Maternal GMS status was associated with higher BMIz scores and with an increased risk of overweight/obesity. Positive relationships were revealed between PRS and the risk of overweight/obesity among girls. Additionally, maternal GMS significantly interacted with the child's PRS on BMIz scores and the risk of overweight/obesity among girls. Hierarchical BMI trajectory graphs by different exposure groups showed consistent findings, and both boys' and girls' BMIz trajectories were divided into three groups. Among girls, the higher the GMS risk or PRS they had, the higher the probability of being in the high BMIz trajectory group. CONCLUSIONS Maternal GMS status increased BMIz scores and the risk of obesity in both boys and girls and elevated the child's BMI trajectory from birth to 6 years of age among girls. PRSs were significantly associated with children's BMI trajectory and the risk of obesity and modified the associations between maternal GMS status and obesity biomarkers only among girls. Thus, regarding childhood obesity, steps should be taken to decrease maternal metabolic risks before and during pregnancy, and sex discrepancies should be noted to identify high-risk populations after birth to hierarchically manage them.
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Affiliation(s)
- Bei-bei Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Hui Gao
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, (Anhui Medical University), National Health Commission of the People’s Republic China, Hefei, China
| | - Meng-long Geng
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiulong Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Juan Tong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Fen Deng
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Si-ying Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Li-hong Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Kun Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiao-yan Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Fang-biao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- *Correspondence: Fang-biao Tao,
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Melhuish Beaupre LM, Tiwari AK, Gonçalves VF, Zai CC, Marshe VS, Lewis CM, Martin NG, McIntosh AM, Adams MJ, Baune BT, Levinson DF, Boomsma DI, Penninx BWJH, Breen G, Hamilton S, Awasthi S, Ripke S, Jones L, Jones I, Byrne EM, Hickie IB, Potash JP, Shi J, Weissman MM, Milaneschi Y, Shyn SI, de Geus EJC, Willemsen G, Brown GM, Kennedy JL. Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis. Front Psychiatry 2022; 13:893816. [PMID: 35990050 PMCID: PMC9387200 DOI: 10.3389/fpsyt.2022.893816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/28/2022] [Indexed: 12/04/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fpsyt.2021.734077.].
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Affiliation(s)
- Lindsay M Melhuish Beaupre
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Arun K Tiwari
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Vanessa F Gonçalves
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Clement C Zai
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Victoria S Marshe
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom.,Department of Medical and Molecular Genetics, King's College London, London, United Kingdom
| | - Nicholas G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany.,Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia.,Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Doug F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit, Amsterdam, Netherlands
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom.,National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, King's College London, London, United Kingdom
| | - Steve Hamilton
- The Permanente Medical Group, San Francisco, CA, United States
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Universitäts Medizin Berlin Campus Charité Mitte, Berlin, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Universitäts Medizin Berlin Campus Charité Mitte, Berlin, Germany.,Analytic and Translational Genetic Unit, Massachusetts General Hospital, Boston, MA, United States.,Medical and Population Genetics, Broad Institute, Cambridge, MA, United States.,Department of Psychiatry, Charité, Berlin, Germany
| | - Lisa Jones
- Psychological Medicine, University of Worcester, Worcester, United Kingdom
| | - Ian Jones
- Medical Research Council (MRC) Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Enda M Byrne
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - James P Potash
- Psychiatry Department, University of Iowa, Iowa City, IA, United States
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Myrna M Weissman
- Psychiatry Department, Columbia University College of Physicians and Surgeons, New York, NY, United States.,Division of Epidemiology, New York State Psychiatric Institute, New York, NY, United States
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit, Amsterdam, Netherlands
| | - Stanley I Shyn
- Washington Permanente Medical Group, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Eco J C de Geus
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit, Amsterdam, Netherlands
| | - Gonneke Willemsen
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit, Amsterdam, Netherlands
| | - Gregory M Brown
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - James L Kennedy
- Molecular Brain Science Research Department, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Stein MB, Jain S, Campbell-Sills L, Ware EB, Choi KW, He F, Ge T, Gelernter J, Smoller JW, Kessler RC, Ursano RJ. Polygenic risk for major depression is associated with lifetime suicide attempt in US soldiers independent of personal and parental history of major depression. Am J Med Genet B Neuropsychiatr Genet 2021; 186:469-475. [PMID: 34288400 PMCID: PMC8692314 DOI: 10.1002/ajmg.b.32868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/16/2021] [Accepted: 06/25/2021] [Indexed: 11/12/2022]
Abstract
Suicide is a major public health problem. The contribution of common genetic variants for major depressive disorder (MDD) independent of personal and parental history of MDD has not been established. Polygenic risk score (using PRS-CS) for MDD was calculated for US Army soldiers of European ancestry. Associations between polygenic risk for MDD and lifetime suicide attempt (SA) were tested in models that also included parental or personal history of MDD. Models were adjusted for age, sex, tranche (where applicable), and 10 principal components reflecting ancestry. In the first cohort, 417 (6.3%) of 6,573 soldiers reported a lifetime history of SA. In a multivariable model that included personal [OR = 3.83, 95% CI:3.09-4.75] and parental history of MDD [OR = 1.43, 95% CI:1.13-1.82 for one parent and OR = 1.64, 95% CI:1.20-2.26 for both parents), MDD PRS was significantly associated with SA (OR = 1.22 [95% CI:1.10-1.36]). In the second cohort, 204 (4.2%) of 4,900 soldiers reported a lifetime history of SA. In a multivariable model that included personal [OR = 3.82, 95% CI:2.77-5.26] and parental history of MDD [OR = 1.42, 95% CI:0.996-2.03 for one parent and OR = 2.21, 95% CI:1.33-3.69 for both parents) MDD PRS continued to be associated (at p = .0601) with SA (OR = 1.15 [95% CI:0.994-1.33]). A soldier's PRS for MDD conveys information about likelihood of a lifetime SA beyond that conveyed by two predictors readily obtainable by interview: personal or parental history of MDD. Results remain to be extended to prospective prediction of incident SA. These findings portend a role for PRS in risk stratification for suicide attempts.
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Affiliation(s)
- Murray B. Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Sonia Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | | | - Erin B. Ware
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Karmel W. Choi
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Feng He
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Joel Gelernter
- Departments of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Robert J. Ursano
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Li Z, Yan H, Zhang X, Shah S, Yang G, Chen Q, Han S, Zhang D, Weinberger DR, Yue W, Tan HY. Air pollution interacts with genetic risk to influence cortical networks implicated in depression. Proc Natl Acad Sci U S A 2021; 118:e2109310118. [PMID: 34750260 DOI: 10.1073/pnas.2109310118] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2021] [Indexed: 01/10/2023] Open
Abstract
Air pollution is a reversible cause of significant global mortality and morbidity. Epidemiological evidence suggests associations between air pollution exposure and impaired cognition and increased risk for major depressive disorders. However, the neural bases of these associations have been unclear. Here, in healthy human subjects exposed to relatively high air pollution and controlling for socioeconomic, genomic, and other confounders, we examine across multiple levels of brain network function the extent to which particulate matter (PM2.5) exposure influences putative genetic risk mechanisms associated with depression. Increased ambient PM2.5 exposure was associated with poorer reasoning and problem solving and higher-trait anxiety/depression. Working memory and stress-related information transfer (effective connectivity) across cortical and subcortical brain networks were influenced by PM2.5 exposure to differing extents depending on the polygenic risk for depression in gene-by-environment interactions. Effective connectivity patterns from individuals with higher polygenic risk for depression and higher exposures with PM2.5, but not from those with lower genetic risk or lower exposures, correlated spatially with the coexpression of depression-associated genes across corresponding brain regions in the Allen Brain Atlas. These converging data suggest that PM2.5 exposure affects brain network functions implicated in the genetic mechanisms of depression.
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48
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Ciudin A, Fidilio E, Gutiérrez-Carrasquilla L, Caixàs A, Vilarrasa N, Pellitero S, Simó-Servat A, Vilallonga R, Ruiz A, de la Fuente M, Luna A, Sánchez E, Rigla M, Hernández C, Salas E, Simó R, Lecube A. A Clinical-Genetic Score for Predicting Weight Loss after Bariatric Surgery: The OBEGEN Study. J Pers Med 2021; 11:1040. [PMID: 34683180 DOI: 10.3390/jpm11101040] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/11/2021] [Accepted: 10/12/2021] [Indexed: 12/17/2022] Open
Abstract
Around 30% of the patients that undergo bariatric surgery (BS) do not reach an appropriate weight loss. The OBEGEN study aimed to assess the added value of genetic testing to clinical variables in predicting weight loss after BS. A multicenter, retrospective, longitudinal, and observational study including 416 patients who underwent BS was conducted (Clinical.Trials.gov- NCT02405949). 50 single nucleotide polymorphisms (SNPs) from 39 genes were examined. Receiver Operating Characteristic (ROC) curve analysis were used to calculate sensitivity and specificity. Satisfactory response to BS was defined as at nadir excess weight loss >50%. A good predictive model of response [area under ROC of 0.845 (95% CI 0.805–0.880), p < 0.001; sensitivity 90.1%, specificity 65.5%] was obtained by combining three clinical variables (age, type of surgery, presence diabetes) and nine SNPs located in ADIPOQ, MC4R, IL6, PPARG, INSIG2, CNR1, ELOVL6, PLIN1 and BDNF genes. This predictive model showed a significant higher area under ROC than the clinical score (p = 0.0186). The OBEGEN study shows the key role of combining clinical variables with genetic testing to increase the predictability of the weight loss response after BS. This finding will permit us to implement a personalized medicine which will be associated with a more cost-effective clinical practice.
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49
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Brick LA, Benca-Bachman CE, Bertin L, Martin KP, Risner V, Palmer RHC. The intermediary role of adolescent temperamental and behavioral traits on the prospective associations between polygenic risk and cannabis use among young adults of European Ancestry. Addiction 2021; 116:2779-2789. [PMID: 33686717 PMCID: PMC8426427 DOI: 10.1111/add.15476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/14/2020] [Accepted: 02/24/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Cannabis use (CU) is an etiologically complex behavior with several social, temperamental, neurocognitive, and behavioral precursors. Biometrical and molecular studies suggest an interplay of environmental and pleiotropic influences. However, it remains unclear whether identified genetic effects related to behavioral and temperamental characteristics have developmentally direct or indirect mechanisms on CU behavior. The Transmissible Liability Index (TLI) is a measure of continuous liability based on developmental precursors of substance use disorders. This study aimed to examine if the TLI plays a role in understanding genetic risk for CU behaviors. DESIGN Genome-wide association studies (n > 10 000; European Ancestry [EA]) of CU, risk tolerance, neuroticism, anxiety, and depression were used to construct polygenic scores (PGSs). Analyses assessed whether PGSs indirectly impacted risk for repeated use via TLI. SETTING United States of America. PARTICIPANTS From Add Health study, 4077 individuals of EA age 11 to 21 during baseline interview collection. MEASUREMENTS Outcomes were initiation and repeated cannabis use (>5× in lifetime). The TLI was parameterized using a latent factor from 21 questions assessing for precursors of disordered use. FINDINGS The marker-based heritability of TLI, initiation, and repeated use were significant, but modest (14%, P = 0.033; 15%, P = 0.025; and 17%, P = 0.008, respectively). TLI and repeated use were genetically correlated (rg = 0.76, P = 0.033). The PGS for CU was associated with increased risk for repeated use and PGS for risk tolerance and depression were associated with TLI. Mediation analyses indicated significant, but very weak, indirect effects of PGS for risk tolerance and depression on repeated CU via the TLI. CONCLUSIONS Adolescent behavioral and temperamental characteristics (i.e. the Transmissible Liability Index) appear to be early indicators of repeated cannabis use in adulthood. Although polygenic scores for cannabis use directly increased risk for repeated cannabis use, weak evidence was found for the role of polygenic scores of other internalizing/externalizing traits acting through adolescent derived Transmissible Liability Index on cannabis use behavior.
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Affiliation(s)
- Leslie A Brick
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Chelsie E Benca-Bachman
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA
| | - Lauren Bertin
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA
| | - Kathleen P Martin
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA
| | - Victoria Risner
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA
| | - Rohan HC Palmer
- Behavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA
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50
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Sierra MA, Wheeler JCW, Devereux L, Trainer AH, Keogh L. Exploring Implementation of Personal Breast Cancer Risk Assessments. J Pers Med 2021; 11:992. [PMID: 34683136 DOI: 10.3390/jpm11100992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/21/2021] [Accepted: 09/25/2021] [Indexed: 11/16/2022] Open
Abstract
Personal Breast Cancer (BC) Risk Assessments (PBCRA) have potential to stratify women into clinically-actionable BC risk categories. As this could involve population-wide genomic testing, women's attitudes to PBCRA and views on acceptable implementation platforms must be considered to ensure optimal population participation. We explored these issues with 31 women with different BC risk profiles through semi-structured focus group discussions or interviews. Inductive thematic coding of transcripts was performed. Subsequently, women listed factors that would impact on their decision to participate. Participants' attitudes to PBCRA were positive. Identified themes included that PBCRA acceptance hinges on result actionability. Women value the ability to inform decision-making. Participants reported anxiety, stress, and genetic discrimination as potential barriers. The age at which PBCRA was offered, ease of access, and how results are returned held importance. Most women value the opportunity for PBCRA to inform increased surveillance, while highlighting hesitance to accept reduced surveillance as they find reassurance in regular screening. Women with BRCA pathogenic variants value the potential for PBCRA to identify a lower cancer risk and potentially inform delayed prophylactic surgery. This study highlights complexities in adopting advances in BC early detection, especially for current users who value existing processes as a social good.
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