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Rosenkjær D, Skytte AB, Kroløkke C. Investigation of motivations for depositing sperm during the COVID-19 pandemic. HUM FERTIL 2022:1-7. [DOI: 10.1080/14647273.2022.2142857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Daniel Rosenkjær
- Cryos International Sperm and Egg bank, Vesterbro Torv 3, Aarhus C, Denmark
| | - Anne-Bine Skytte
- Cryos International Sperm and Egg bank, Vesterbro Torv 3, Aarhus C, Denmark
| | - Charlotte Kroløkke
- Department for the Study of Culture, University of Southern Denmark, Odense M, Denmark
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2
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Malaspina D. A sister's search for the seeds of psychosis. Psychiatry Res 2022; 317:114846. [PMID: 36244157 DOI: 10.1016/j.psychres.2022.114846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/07/2022] [Accepted: 09/11/2022] [Indexed: 01/04/2023]
Abstract
Dr. Dolores Malaspina sought a better way to understand the origins of psychosis than a schizophrenogenic mother, as her family had been informed upon her sisters illness. She moved her attention from environmental biology and zoology, to medical science and assembled knowledge on the multilevel components purported to underpin severe mental illness. Her studies cross levels to consider connections among exposures and genetic etiologies, intrinsic homeostatic mechanisms, stimuli perception and clinical illness features. Original contributions include associating later paternal age with increasing risk for schizophrenia in offspring and proposing that de novo mutations with shorter cell cycles explained the association, showing increased resting hippocampal blood flow in psychosis and that it was associated with inflammation, and that autonomic nervous system dysfunction was related to hippocampal inflammation, plausibly reflecting vascular abnormalities. She has been a professor of psychiatry in medical schools at Columbia University, New York University and at Mount Sinai in New York, USA.
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Affiliation(s)
- Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetic & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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3
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Zhang C, Yan L, Qiao J. Effect of advanced parental age on pregnancy outcome and offspring health. J Assist Reprod Genet 2022; 39:1969-1986. [PMID: 35925538 PMCID: PMC9474958 DOI: 10.1007/s10815-022-02533-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/24/2021] [Indexed: 10/16/2022] Open
Abstract
PURPOSE Fertility at advanced age has become increasingly common, but the aging of parents may adversely affect the maturation of gametes and the development of embryos, and therefore the effects of aging are likely to be transmitted to the next generation. This article reviewed the studies in this field in recent years. METHODS We searched the relevant literature in recent years with the keywords of "advanced maternal/paternal age" combined with "adverse pregnancy outcome" or "birth defect" in the PubMed database and classified the effects of parental advanced age on pregnancy outcomes and birth defects. Related studies on the effect of advanced age on birth defects were classified as chromosomal abnormalities, neurological and psychiatric disorders, and other systemic diseases. The effect of assisted reproduction technology (ART) on fertility in advanced age was also discussed. RESULTS Differences in the definition of the range of advanced age and other confounding factors among studies were excluded, most studies believed that advanced parental age would affect pregnancy outcomes and birth defects in offspring. CONCLUSION To some extent, advanced parental age caused adverse pregnancy outcomes and birth defects. The occurrence of these results was related to the molecular genetic changes caused by aging, such as gene mutations, epigenetic variations, etc. Any etiology of adverse pregnancy outcomes and birth defects related to aging might be more than one. The detrimental effect of advanced age can be corrected to some extent by ART.
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Affiliation(s)
- Cong Zhang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North garden road, Haidian district, Beijing, 100191, People's Republic of China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191, China
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest (Chinese Academy of Medical Sciences), Beijing, 100191, China
- Savid Medical College (University of Chinese Academy of Sciences), Beijing, 100049, China
| | - Liying Yan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North garden road, Haidian district, Beijing, 100191, People's Republic of China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191, China
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest (Chinese Academy of Medical Sciences), Beijing, 100191, China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North garden road, Haidian district, Beijing, 100191, People's Republic of China.
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191, China.
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191, China.
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191, China.
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest (Chinese Academy of Medical Sciences), Beijing, 100191, China.
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Abstract
Paternal age at conception has been increasing. In this review, we first present the results from the major mammalian animal models used to establish that increasing paternal age does affect progeny outcome. These models provide several major advantages including the possibility to assess multi- transgenerational effects of paternal age on progeny in a relatively short time window. We then present the clinical observations relating advanced paternal age to fertility and effects on offspring with respect to perinatal health, cancer risk, genetic diseases, and neurodevelopmental effects. An overview of the potential mechanism operating in altering germ cells in advanced age is presented. This is followed by an analysis of the current state of management of reproductive risks associated with advanced paternal age. The numerous challenges associated with developing effective, practical strategies to mitigate the impact of advanced paternal age are outlined along with an approach on how to move forward with this important clinical quandary.
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Affiliation(s)
- Peter T. K. Chan
- Department of Urology, McGill University Health Centre, Montreal, QC, Canada
| | - Bernard Robaire
- Department of Pharmacology & Therapeutics, McGill University, Montreal, QC, Canada
- Department of Obstetrics & Gynecology, McGill University, Montreal, QC, Canada
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5
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Pavithra A, Durairaj J, Raghavan V. No association between advanced paternal age and age of onset of illness among patients with schizophrenia: A cross-sectional study from South India. Schizophr Res 2021; 238:27-28. [PMID: 34563994 DOI: 10.1016/j.schres.2021.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/13/2021] [Accepted: 09/13/2021] [Indexed: 10/20/2022]
Affiliation(s)
- A Pavithra
- Schizophrenia Research Foundation, R/7A, North Main Road, Anna Nagar West Extension, Chennai 600101, Tamil Nadu, India
| | - Jothilakshmi Durairaj
- Schizophrenia Research Foundation, R/7A, North Main Road, Anna Nagar West Extension, Chennai 600101, Tamil Nadu, India
| | - Vijaya Raghavan
- Schizophrenia Research Foundation, R/7A, North Main Road, Anna Nagar West Extension, Chennai 600101, Tamil Nadu, India.
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Villani MT, Morini D, Spaggiari G, Falbo AI, Melli B, La Sala GB, Romeo M, Simoni M, Aguzzoli L, Santi D. Are sperm parameters able to predict the success of assisted reproductive technology? A retrospective analysis of over 22,000 assisted reproductive technology cycles. Andrology 2021; 10:310-321. [PMID: 34723422 PMCID: PMC9298690 DOI: 10.1111/andr.13123] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 12/23/2022]
Abstract
Background An explosive increase in couples attending assisted reproductive technology has been recently observed, despite an overall success rate of about 20%–30%. Considering the assisted reproductive technology‐related economic and psycho‐social costs, the improvement of these percentages is extremely relevant. However, in the identification of predictive markers of assisted reproductive technology success, male parameters are largely underestimated so far. Study design Retrospective, observational study. Objectives To evaluate whether conventional semen parameters could predict assisted reproductive technology success. Materials and methods All couples attending a single third‐level fertility center from 1992 to 2020 were retrospectively enrolled, collecting all semen and assisted reproductive technology parameters of fresh cycles. Fertilization rate was the primary end‐point, representing a parameter immediately dependent on male contribution. Pregnancy and live birth rates were considered in relation to semen variables. Statistical analyses were performed using the parameters obtained according to the World Health Organization manual editions used for semen analysis. Results Note that, 22,013 in vitro fertilization and intracytoplasmic sperm injection cycles were considered. Overall, fertilization rate was significantly lower in patients with abnormal semen parameters compared to normozoospermic men, irrespective of the World Health Organization manual edition. In the in vitro fertilization setting, both progressive motility (p = 0.012) and motility after capacitation (p = 0.002) significantly predicted the fertilization rate (statistical accuracy = 71.1%). Sperm motilities also predicted pregnancy (p < 0.001) and live birth (p = 0.001) rates. In intracytoplasmic sperm injection cycles, sperm morphology predicted fertilization rate (p = 0.001, statistical accuracy = 90.3%). Sperm morphology significantly predicted both pregnancy (p < 0.001) and live birth (p < 0.001) rates and a cut‐off of 5.5% was identified as a threshold to predict clinical pregnancy (area under the curve = 0.811, p < 0.001). Discussion Interestingly, sperm motility plays a role in predicting in vitro fertilization success, while sperm morphology is the relevant parameter in intracytoplasmic sperm injection cycles. These parameters may be considered reliable tools to measure the male role on ART outcomes, potentially impacting the clinical management of infertile couples.
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Affiliation(s)
- Maria Teresa Villani
- Department of Obstetrics and Gynaecology, Fertility Centre, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Daria Morini
- Department of Obstetrics and Gynaecology, Fertility Centre, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giorgia Spaggiari
- Department of Medical Specialties, Unit of Endocrinology, Ospedale Civile of Baggiovara, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy
| | - Angela Immacolata Falbo
- Department of Obstetrics and Gynaecology, Fertility Centre, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Beatrice Melli
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Giovanni Battista La Sala
- Department of Obstetrics and Gynaecology, Fertility Centre, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Marilina Romeo
- Department of Medical Specialties, Unit of Endocrinology, Ospedale Civile of Baggiovara, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy.,Department of Biomedical, Metabolic and Neural Sciences, Unit of Endocrinology, University of Modena and Reggio Emilia, Modena, Italy
| | - Manuela Simoni
- Department of Medical Specialties, Unit of Endocrinology, Ospedale Civile of Baggiovara, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy.,Department of Biomedical, Metabolic and Neural Sciences, Unit of Endocrinology, University of Modena and Reggio Emilia, Modena, Italy
| | - Lorenzo Aguzzoli
- Department of Obstetrics and Gynaecology, Fertility Centre, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Daniele Santi
- Department of Medical Specialties, Unit of Endocrinology, Ospedale Civile of Baggiovara, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy.,Department of Biomedical, Metabolic and Neural Sciences, Unit of Endocrinology, University of Modena and Reggio Emilia, Modena, Italy
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7
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Couture V, Delisle S, Mercier A, Pennings G. The other face of advanced paternal age: a scoping review of its terminological, social, public health, psychological, ethical and regulatory aspects. Hum Reprod Update 2020; 27:305-323. [PMID: 33201989 DOI: 10.1093/humupd/dmaa046] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/25/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There is a global tendency for parents to conceive children later in life. The maternal dimension of the postponement transition has been thoroughly studied, but interest in the paternal side is more recent. For the moment, most literature reviews on the topic have focused on the consequences of advanced paternal age (APA) on fertility, pregnancy and the health of the child. OBJECTIVE AND RATIONALE The present review seeks to move the focus away from the biological and medical dimensions of APA and synthesise the knowledge of the other face of APA. SEARCH METHODS We used the scoping review methodology. Searches of interdisciplinary articles databases were performed with keywords pertaining to APA and its dimensions outside of biology and medicine. We included scientific articles, original research, essays, commentaries and editorials in the sample. The final sample of 177 documents was analysed with qualitative thematic analysis. OUTCOMES We identified six themes highlighting the interdisciplinary nature of APA research. The 'terminological aspects' highlight the lack of consensus on the definition of APA and the strategies developed to offer alternatives. The 'social aspects' focus on the postponement transition towards reproducing later in life and its cultural dimensions. The 'public health aspects' refer to attempts to analyse APA as a problem with wider health and economic implications. The 'psychological aspects' focus on the consequences of APA and older fatherhood on psychological characteristics of the child. The 'ethical aspects' reflect on issues of APA emerging at the intersection of parental autonomy, children's welfare and social responsibility. The 'regulatory aspects' group different suggestions to collectively approach the implications of APA. Our results show that the field of APA is still in the making and that evidence is lacking to fully address the issues of APA. The review suggests promising avenues of research such as introducing the voice of fathers of advanced age into the research agenda. WIDER IMPLICATIONS The results of this review will be useful for developing policies and preconception health interventions that consider and include prospective fathers of advanced age.
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Affiliation(s)
- Vincent Couture
- Faculty of Nursing, Université Laval, Québec G1V 0A6, Canada.,Research Center of the CHU de Québec-Université Laval, Québec G1L 3L5, Canada
| | - Stéphane Delisle
- Research Center of the CHU de Québec-Université Laval, Québec G1L 3L5, Canada
| | - Alexis Mercier
- Faculty of Nursing, Université Laval, Québec G1V 0A6, Canada
| | - Guido Pennings
- Department of Philosophy and Moral Sciences, Bioethics Institute Ghent, Ghent University, Gent 9000, Belgium
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8
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Lee JS, Lee H, Park S, Choe Y, Park YH, Cheon BK, Hahn A, Ossenkoppele R, Kim HJ, Kim S, Yoo H, Jang H, Cho SH, Kim SJ, Kim JP, Jung YH, Park KC, DeCarli C, Weiner MW, Na DL, Seo SW. Association between APOE ε2 and Aβ burden in patients with Alzheimer- and vascular-type cognitive impairment. Neurology 2020; 95:e2354-e2365. [PMID: 32928967 DOI: 10.1212/wnl.0000000000010811] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 06/03/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the association between APOE genotype and β-amyloid (Aβ) burden, as measured by PET in patients with subcortical vascular cognitive impairment (SVCI) and those with Alzheimer disease-related cognitive impairment (ADCI). METHODS This was a cross-sectional study of 310 patients with SVCI and 999 with ADCI. To evaluate the effects of APOE genotype or diagnostic group on Aβ positivity, we performed multivariate logistic regression analyses. Further distinctive underlying features of latent subgroups were examined by employing a latent class cluster analysis approach. RESULTS In comparison with ε3 homozygotes, in the ADCI group, ε2 carriers showed a lower frequency of Aβ positivity (odds ratio [OR] 0.43, 95% confidence interval [CI] 0.23-0.79), while in the SVCI group, ε2 carriers showed a higher frequency of Aβ positivity (OR 2.26, 95% CI 1.02-5.01). In particular, we observed an interaction effect of ε2 carrier status and diagnostic group on Aβ positivity (OR 5.12, 95% CI 1.93-13.56), in that relative to ε3 homozygotes, there were more Aβ-positive ε2 carriers in the SVCI group than in the ADCI group. We also identified latent subgroups of Aβ-positive APOE ε2 carriers with SVCI and Aβ-positive APOE ε4 carriers with ADCI. CONCLUSIONS Our findings suggest that APOE ε2 is distinctly associated with Aβ deposition in patients with SVCI and those with ADCI. Our findings further suggest that there is a distinctive subgroup of Aβ-positive APOE ε2 carriers with SVCI among patients with cognitive impairment.
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Affiliation(s)
- Jin San Lee
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA.
| | - Hyejoo Lee
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA.
| | - Seongbeom Park
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Yeongsim Choe
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Yu Hyun Park
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Bo Kyoung Cheon
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Alice Hahn
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Rik Ossenkoppele
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Hee Jin Kim
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Seonwoo Kim
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Heejin Yoo
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Hyemin Jang
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Soo Hyun Cho
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Seung Joo Kim
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Jun Pyo Kim
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Young Hee Jung
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Key-Chung Park
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Charles DeCarli
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Michael W Weiner
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Duk L Na
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA
| | - Sang Won Seo
- From the Department of Neurology (J.S.L., H.L., S.P., Y.C., Y.H.P., B.K.C., A.H., H.J.K., H.J., J.P.K., D.L.N., S.W.S.), Samsung Alzheimer Research Center (H.J.K., H.J., J.P.K., D.L.N., S.W.S.), and Statistics and Data Center (S.K., H.Y.), Samsung Medical Center; Department of Intelligent Precision Healthcare Convergence (S.W.S.), Sungkyunkwan University School of Medicine; Department of Health Sciences and Technology (S.W.S.), SAIHST, Sungkyunkwan University; Department of Neurology (J.S.L., K.-C.P.), Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea; Department of Neurology and Alzheimer Center (R.O.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (S.H.C.), Chonnam National University Medical School, Gwangju; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon; Department of Neurology (Y.H.J.), Myungji Hospital, Goyang, Korea; Department of Neurology and Center for Neuroscience (C.D.), University of California, Davis; Department of Medicine (M.W.W.), University of California; and Department of Veterans Affairs Medical Center (M.W.W.), Center for Imaging of Neurodegenerative Diseases, San Francisco, CA.
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9
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Wang RJ, Thomas GWC, Raveendran M, Harris RA, Doddapaneni H, Muzny DM, Capitanio JP, Radivojac P, Rogers J, Hahn MW. Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociability. Genome Res 2020; 30:826-834. [PMID: 32461224 PMCID: PMC7370888 DOI: 10.1101/gr.255174.119] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 05/21/2020] [Indexed: 01/26/2023]
Abstract
Mutation is the ultimate source of all genetic novelty and the cause of heritable genetic disorders. Mutational burden has been linked to complex disease, including neurodevelopmental disorders such as schizophrenia and autism. The rate of mutation is a fundamental genomic parameter and direct estimates of this parameter have been enabled by accurate comparisons of whole-genome sequences between parents and offspring. Studies in humans have revealed that the paternal age at conception explains most of the variation in mutation rate: Each additional year of paternal age in humans leads to approximately 1.5 additional inherited mutations. Here, we present an estimate of the de novo mutation rate in the rhesus macaque (Macaca mulatta) using whole-genome sequence data from 32 individuals in four large pedigrees. We estimated an average mutation rate of 0.58 × 10−8 per base pair per generation (at an average parental age of 7.5 yr), much lower than found in direct estimates from great apes. As in humans, older macaque fathers transmit more mutations to their offspring, increasing the per generation mutation rate by 4.27 × 10−10 per base pair per year. We found that the rate of mutation accumulation after puberty is similar between macaques and humans, but that a smaller number of mutations accumulate before puberty in macaques. We additionally investigated the role of paternal age on offspring sociability, a proxy for normal neurodevelopment, by studying 203 male macaques in large social groups.
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Affiliation(s)
- Richard J Wang
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Gregg W C Thomas
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Harshavardhan Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - John P Capitanio
- California National Primate Research Center, University of California-Davis, Davis, California 95616, USA
| | - Predrag Radivojac
- Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA.,Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts 02115, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
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10
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Ndetei D, Pike K, Mutiso V, Tele A, Gitonga I, Rebello T, Musyimi C, Mamah D. The psychometric properties of the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) screen in adults in the Kenyan context: Towards combined large scale community screening for affectivity and psychosis. Psychiatry Res 2019; 282:112569. [PMID: 31727439 DOI: 10.1016/j.psychres.2019.112569] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 09/16/2019] [Accepted: 09/16/2019] [Indexed: 10/26/2022]
Abstract
There is a need for screening for early symptoms of psychosis and affectivity at community level to promote early diagnosis and management. Any screening instrument should have good psychometric properties. One such instrument is the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen that has been used in the USA, Kenya and Rwanda. However, its properties have not been studied outside the USA, and not in adults. The study aims to document the psychometric properties of the WERCAP Screen in Kenyan adults with positive screens on the WHO mental health treatment GAP- Intervention Guidelines (mhGAP-IG). We administered the WERCAP Screen and a gold standard - the Mini-International Neuropsychiatric Interview (MINI-Plus) section on psychosis to 674 Kenyan adults who had screened positive on the WHO mhGAP-IG. Out of these, 464 (68.84%) scored positive for both affectivity and psychosis sections on the MINI-Plus. The WERCAP affectivity and psychosis scales had good psychometric properties as screening measures, with a cut-off point of 22 for affectivity and 20 for psychosis. The WERCAP Screen has the potential for combined scale up screening for affectivity and psychosis in Kenyan population.
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Affiliation(s)
- David Ndetei
- Department of Psychiatry, University of Nairobi, Nairobi, Kenya; Africa Mental Health Research and Training Foundation, Nairobi, Kenya.
| | - Kathleen Pike
- Global Mental Health Program, Columbia University, New York, USA
| | - Victoria Mutiso
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Albert Tele
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Isaiah Gitonga
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - Tahilia Rebello
- Global Mental Health Program, Columbia University, New York, USA
| | - Christine Musyimi
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
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11
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Features of schizophrenia following premorbid eating disorders. Psychiatry Res 2019; 278:275-280. [PMID: 31254876 DOI: 10.1016/j.psychres.2019.06.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/20/2019] [Accepted: 06/20/2019] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Eating disorders (ED) and schizophrenia are frequently comorbid and schizophrenia shares genetic susceptibility with anorexia. Many factors associated with schizophrenia can disrupt eating, but ED can present years before schizophrenia. If premorbid ED distinguishes a particular subtype of schizophrenia, then phenotypic features may differ between schizophrenia cases with and without premorbid ED. METHOD This secondary analysis used data from an inpatient schizophrenia research study that comprehensively assessed life course psychiatric disorders (DIGS interview), intelligence (WAIS), global assessments of function (GAF) and assessed symptoms during medication-free and fixed dose neuroleptic phases (PANSS). RESULTS Premorbid ED was identified in 27 of the 288 schizophrenia cases (9.4%). This group had more females than the group without premorbid ED (74.1% vs. 30%); premorbid ED was 5-fold more common in female than male cases (χ2 (17.9, P < .0001). Only the premorbid ED group had gustatory hallucinations. They also demonstrated significantly more severe psychotic and disorganization symptoms during medication-free and fixed dose treatment phases, despite similar negative symptoms and GAF scores, as other cases. The premorbid ED group had significantly better cognition overall, but relatively lower nonverbal than verbal intelligence. DISCUSSION Premorbid ED may define a specific subtype of schizophrenia that is common in females. Their more severe psychotic symptoms and better IQ, despite similarly impaired function and negative symptoms as other cases, suggests a distinct pathophysiology. Premorbid ED should be considered in evaluating risk states for schizophrenia, and as a relevant phenotype for treatment resistant schizophrenia.
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12
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Zouraraki C, Karagiannopoulou L, Karamaouna P, Pallis EG, Giakoumaki SG. Schizotypal traits, neurocognition, and paternal age in unaffected first degree relatives of patients with familial or sporadic schizophrenia. Psychiatry Res 2019; 273:422-429. [PMID: 30684787 DOI: 10.1016/j.psychres.2018.12.142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 12/27/2018] [Accepted: 12/28/2018] [Indexed: 10/27/2022]
Abstract
Studies comparing cognitive processes between familial and sporadic schizophrenia have yielded inconsistent findings. In this study we examined differences in neurocognition and schizotypal traits in unaffected relatives of schizophrenia-spectrum patients with either the familial (multiplex) or the sporadic (simplex) subtype of the disorder, taking paternal age at birth into consideration. Simplex (n = 65; SR), multiplex (n = 35; MR) relatives and controls (n = 114) were compared on several cognitive functions and schizotypal traits; between-group differences were evaluated with and without including paternal age in the analyses. SR and MR had higher negative and paranoid traits compared with controls, but paternal age abolished the differences between the SR and control groups. When taking into account schizotypal traits and participants' age, controls outperformed MR in strategy formation and set-shifting and SR in psychomotor speed, set-shifting and executive working memory. After including paternal age in the analyses, controls outperformed MR in strategy formation, working memory and executive working memory and both groups in psychomotor speed and set-shifting. These findings suggest that multiplex relatives present with a "riskier" personality and cognitive profile when considering the effects of paternal age. Nevertheless, simplex relatives are impaired in fundamental cognitive processes, thus highlighting the detrimental effects of paternal age on neurocognition.
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Affiliation(s)
- Chrysoula Zouraraki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece.
| | - Leda Karagiannopoulou
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Penny Karamaouna
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Eleftherios G Pallis
- Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Athens 11527, Greece
| | - Stella G Giakoumaki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
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13
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Brandt JS, Cruz Ithier MA, Rosen T, Ashkinadze E. Advanced paternal age, infertility, and reproductive risks: A review of the literature. Prenat Diagn 2019; 39:81-87. [DOI: 10.1002/pd.5402] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 11/18/2018] [Accepted: 11/30/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Justin S. Brandt
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal Fetal Medicine; Rutgers Robert Wood Johnson Medical School; New Brunswick New Jersey
| | - Mayra A. Cruz Ithier
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal Fetal Medicine; Rutgers Robert Wood Johnson Medical School; New Brunswick New Jersey
| | - Todd Rosen
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal Fetal Medicine; Rutgers Robert Wood Johnson Medical School; New Brunswick New Jersey
| | - Elena Ashkinadze
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal Fetal Medicine; Rutgers Robert Wood Johnson Medical School; New Brunswick New Jersey
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14
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Fond G, Godin O, Boyer L, Llorca PM, Andrianarisoa M, Brunel L, Aouizerate B, Berna F, Capdevielle D, D'Amato T, Denizot H, Dubertret C, Dubreucq J, Faget C, Gabayet F, Mallet J, Misdrahi D, Passerieux C, Rey R, Richieri R, Schandrin A, Urbach M, Vidailhet P, Leboyer M, Bulzacka E, Schürhoff F. Advanced paternal age is associated with earlier schizophrenia onset in offspring. Results from the national multicentric FACE-SZ cohort. Psychiatry Res 2017; 254:218-223. [PMID: 28476014 DOI: 10.1016/j.psychres.2017.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 04/02/2017] [Indexed: 10/19/2022]
Abstract
The association between advanced paternal age (APA) and increased risk of schizophrenia (SZ) is well established. The objectives of the present study were to further determine if SZ participants with APA (APA+), versus those without (APA-), had: (i) different illness characteristics; (ii) different responses to antipsychotic medication; and (iii) different cognitive characteristics. Participants were a non-selected representative multicentric sample of stabilized community-dwelling people diagnosed with SZ included in the FACE-SZ cohort. 389 participants (73% males, mean aged 32.7 years, mean illness duration 10.8 years) formed the study sample, with each comprehensively evaluated, clinically and neuropsychologically, over 2 days. 118 participants (30.3%) were defined as APA+ according to their father's age at birth (≥35 years). APA+ was associated with a wide range of cognitive dysfunctions in univariate analyses. In multivariate analyses, the only significant difference was the age at onset, with a mean 1.6 year earlier in APA+, compared to APA- (20.7 vs. 22.3 years; p=0.02). This difference is independent of sociodemographic characteristics and I.Q. No association with clinical symptomatology and treatment response was found. The present study supports the neomutation hypothesis and confirms APA as a relevant clinical variable to discriminate potential schizophrenia subtypes. Potential underlying pathophysiological mechanisms are discussed.
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Affiliation(s)
- Guillaume Fond
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France; Bordeaux Sleep Clinique, Pellegrin University Hospital, Bordeaux University, USR CNRS 3413 SANPSY, Research Unit, 33000 Bordeaux, France; Clinique Jeanne d'Arc, Hôpital Privé Parisien, F-94160 Saint-Mandé, France.
| | - Ophélia Godin
- Fondation FondaMental, Créteil, France; UPMC University Paris 06, UMRS 943, F-75013 Paris, France; INSERM, UMRS 943, F-75013 Paris, France
| | - Laurent Boyer
- Fondation FondaMental, Créteil, France; Pôle psychiatrie universitaire, CHU Sainte-Marguerite, F-13274 Marseille cedex 09, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, Créteil, France; CMP B, CHU, EA 7280 Faculté de Médecine, Université d'Auvergne, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Meja Andrianarisoa
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Lore Brunel
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, F-33076 Bordeaux, France; Université de Bordeaux; Inserm, Neurocentre Magendie, Physiopathologie de la Plasticité Neuronale, U862, F-33000 Bordeaux, France
| | - Fabrice Berna
- Fondation FondaMental, Créteil, France; Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Delphine Capdevielle
- Fondation FondaMental, Créteil, France; Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Thierry D'Amato
- Fondation FondaMental, Créteil, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - Hélène Denizot
- Fondation FondaMental, Créteil, France; CMP B, CHU, EA 7280 Faculté de Médecine, Université d'Auvergne, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - Julien Dubreucq
- Fondation FondaMental, Créteil, France; Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - Catherine Faget
- Fondation FondaMental, Créteil, France; Assistance Publique des Hôpitaux de Marseille (AP-HM), pôle universitaire de psychiatrie, Marseille, France
| | - Franck Gabayet
- Fondation FondaMental, Créteil, France; Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - Jasmina Mallet
- Fondation FondaMental, Créteil, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - David Misdrahi
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, F-33076 Bordeaux, France; Université de Bordeaux; CNRS UMR 5287-INCIA
| | - Christine Passerieux
- Fondation FondaMental, Créteil, France; Service de psychiatrie d'adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Romain Rey
- Fondation FondaMental, Créteil, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - Raphaelle Richieri
- Fondation FondaMental, Créteil, France; Assistance Publique des Hôpitaux de Marseille (AP-HM), pôle universitaire de psychiatrie, Marseille, France
| | - Aurélie Schandrin
- Fondation FondaMental, Créteil, France; Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Mathieu Urbach
- Fondation FondaMental, Créteil, France; Service de psychiatrie d'adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Pierre Vidailhet
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Ewa Bulzacka
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Franck Schürhoff
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de psychiatrie translationnelle, Créteil, France, Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
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15
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Janecka M, Mill J, Basson MA, Goriely A, Spiers H, Reichenberg A, Schalkwyk L, Fernandes C. Advanced paternal age effects in neurodevelopmental disorders-review of potential underlying mechanisms. Transl Psychiatry 2017; 7:e1019. [PMID: 28140401 PMCID: PMC5299396 DOI: 10.1038/tp.2016.294] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 11/23/2016] [Accepted: 12/15/2016] [Indexed: 01/09/2023] Open
Abstract
Multiple epidemiological studies suggest a relationship between advanced paternal age (APA) at conception and adverse neurodevelopmental outcomes in offspring, particularly with regard to increased risk for autism and schizophrenia. Conclusive evidence about how age-related changes in paternal gametes, or age-independent behavioral traits affect neural development is still lacking. Recent evidence suggests that the origins of APA effects are likely to be multidimensional, involving both inherited predisposition and de novo events. Here we provide a review of the epidemiological and molecular findings to date. Focusing on the latter, we present the evidence for genetic and epigenetic mechanisms underpinning the association between late fatherhood and disorder in offspring. We also discuss the limitations of the APA literature. We propose that different hypotheses relating to the origins of the APA effects are not mutually exclusive. Instead, multiple mechanisms likely contribute, reflecting the etiological complexity of neurodevelopmental disorders.
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Affiliation(s)
- M Janecka
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Mill
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - M A Basson
- Department of Craniofacial and Stem Cell Biology, MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - A Goriely
- Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - H Spiers
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - A Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - L Schalkwyk
- School of Biological Sciences, University of Essex, Colchester, UK
| | - C Fernandes
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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16
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Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, Bustillo J, Calhoun VD, Turner JA. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry 2017; 8:179. [PMID: 29018368 PMCID: PMC5623192 DOI: 10.3389/fpsyt.2017.00179] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 09/07/2017] [Indexed: 12/14/2022] Open
Abstract
Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes from the reliable and stable gray matter concentration (GMC) of patients with Sz. The developed methodology consists of the following steps: source-based morphometry (SBM) decomposition, selection and sorting of two component loadings, subtype component reconstruction using group information-guided ICA (GIG-ICA). This framework was applied to the top two group discriminative components namely the insula/superior temporal gyrus/inferior frontal gyrus (I-STG-IFG component) and the superior frontal gyrus/middle frontal gyrus/medial frontal gyrus (SFG-MiFG-MFG component) from our previous SBM study, which showed diagnostic group difference and had the highest effect sizes. The aggregated multisite dataset consisted of 382 patients with Sz regressed of age, gender, and site voxelwise. We observed two subtypes (i.e., two different subsets of subjects) each heavily weighted on these two components, respectively. These subsets of subjects were characterized by significant differences in positive and negative syndrome scale (PANSS) positive clinical symptoms (p = 0.005). We also observed an overlapping subtype weighing heavily on both of these components. The PANSS general clinical symptom of this subtype was trend level correlated with the loading coefficients of the SFG-MiFG-MFG component (r = 0.25; p = 0.07). The reconstructed subtype-specific component using GIG-ICA showed variations in voxel regions, when compared to the group component. We observed deviations from mean GMC along with conjunction of features from two components characterizing each deciphered subtype. These inherent variations in GMC among patients with Sz could possibly indicate the need for personalized treatment and targeted drug development.
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Affiliation(s)
- Cota Navin Gupta
- The Mind Research Network, Albuquerque, NM, United States.,Department of Biosciences and Bioengineering, Indian Institute of Technology, Guwahati, India
| | - Eduardo Castro
- The Mind Research Network, Albuquerque, NM, United States.,Computational Biology Center, IBM Thomas J. Watson Research, Yorktown Heights, NY, United States
| | | | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Steven Potkin
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Judith M Ford
- Department of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Daniel Mathalon
- Department of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Hyo Jong Lee
- Divisions of Electronics and Information Engineering, Chonbuk National University, Jeonju, South Korea
| | - Bryon A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Douglas N Greve
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States
| | - Ole A Andreassen
- NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Department of Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Andrew R Mayer
- The Mind Research Network, Albuquerque, NM, United States
| | - Julia Stephen
- The Mind Research Network, Albuquerque, NM, United States
| | - Rex E Jung
- Department of Neurosurgery, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, United States
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, United States.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United States
| | - Jessica A Turner
- The Mind Research Network, Albuquerque, NM, United States.,Department of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA, United States
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17
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Lehrer DS, Pato MT, Nahhas RW, Miller BR, Malaspina D, Buckley PF, Sobell JL, Walsh-Messinger J, Genomic Psychiatry Cohort Consortium, Pato CN. Paternal age effect: Replication in schizophrenia with intriguing dissociation between bipolar with and without psychosis. Am J Med Genet B Neuropsychiatr Genet 2016; 171:495-505. [PMID: 26183902 DOI: 10.1002/ajmg.b.32334] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 06/02/2015] [Indexed: 01/27/2023]
Abstract
Advanced paternal age (APA) is a risk factor for schizophrenia (Sz) and bipolar disorder (BP). Putative mechanisms include heritable genetic factors, de novo mutations, and epigenetic mechanisms. Few studies have explored phenotypic features associated with APA. The Genomic Psychiatry Cohort established a clinically characterized repository of genomic samples from subjects with a Sz-BP diagnosis or unaffected controls, 12,975 with parental age information. We estimated relative risk ratios for Sz, schizoaffective depressed and bipolar types (SA-D, SA-B), and BP with and without history of psychotic features (PF) relative to the control group, comparing each paternal age group to the reference group 20-24 years. All tests were two-sided with adjustment for multiple comparisons. Subjects with fathers age 45+ had significantly higher risk for all diagnoses except for BP w/o PF. APA also bore no significant relation to family psychiatric history. In conclusion, we replicated APA as a risk factor for Sz. To our knowledge, this is the first published report of APA in a BP sample stratified by psychosis history, extending this association only in BP w/PF. This suggests that phenotypic expression of the APA effect in Sz-BP spectrum is psychosis, per se, rather than other aspects of these complex disorders. The lack of a significant relationship between paternal age and familial disease patterns suggests that underlying mechanisms of the paternal age effect may involve a complex interaction of heritable and non-heritable factors. The authors discuss implications and testable hypotheses, starting with a focus on genetic mechanisms and endophenotypic expressions of dopaminergic function. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Douglas S Lehrer
- Department of Psychiatry, Wright State University, Dayton, Ohio.,Summit Behavioral Healthcare, Ohio Department of Mental Health & Addiction Services, Cincinnati, Ohio
| | - Michele T Pato
- College of Medicine, State University of New York Downstate Medical Center, Brooklyn, New York.,Department of Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, California
| | - Ramzi W Nahhas
- Department of Psychiatry, Wright State University, Dayton, Ohio.,Department of Community Health, Wright State University, Dayton, Ohio
| | - Brian R Miller
- Department of Psychiatry, Georgia Medical College at Georgia Regents University, Augusta, Georgia
| | | | - Peter F Buckley
- Department of Psychiatry, Georgia Medical College at Georgia Regents University, Augusta, Georgia.,Office of the Dean, Georgia Medical College at Georgia Regents University, Augusta, Georgia
| | - Janet L Sobell
- Department of Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, California
| | - Julie Walsh-Messinger
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Carlos N Pato
- College of Medicine, State University of New York Downstate Medical Center, Brooklyn, New York.,Department of Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, California
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18
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Peixinho CC, Rosa PTCR, de Oliveira LF. Classification of individual flexibility: before and after a long-term stretching program. Biomed Phys Eng Express 2016. [DOI: 10.1088/2057-1976/2/2/025001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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19
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Telomere length variability is related to symptoms and cognition in schizophrenia. Schizophr Res 2015; 164:268-9. [PMID: 25841297 DOI: 10.1016/j.schres.2015.03.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Revised: 03/09/2015] [Accepted: 03/11/2015] [Indexed: 11/22/2022]
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20
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Bergen SE. Genetic Modifiers and Subtypes in Schizophrenia. Curr Behav Neurosci Rep 2014. [DOI: 10.1007/s40473-014-0025-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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21
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Mamah D, Owoso A, Sheffield JM, Bayer C. The WERCAP Screen and the WERC Stress Screen: psychometrics of self-rated instruments for assessing bipolar and psychotic disorder risk and perceived stress burden. Compr Psychiatry 2014; 55:1757-71. [PMID: 25128205 DOI: 10.1016/j.comppsych.2014.07.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Revised: 07/02/2014] [Accepted: 07/02/2014] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Identification of individuals in the prodromal phase of bipolar disorder and schizophrenia facilitates early intervention and promises an improved prognosis. There are no current assessment tools for clinical risk symptoms of bipolar disorder, and psychosis-risk assessment generally involves semi-structured interviews, which are time consuming and rater dependent. We present psychometric data on two novel quantitative questionnaires: the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen for assessing bipolar and psychotic disorder risk traits, and the accompanying WERC Stress Screen for assessing individual and total psychosocial stressor severities. METHODS Prevalence rates of the WERCAP Screen were evaluated among 171 community youth (aged 13-24 years); internal consistency was assessed and k-means cluster analysis was used to identify symptom groups. In 33 participants, test-retest reliability coefficients were assessed, and ROC curve analysis was used to determine the validity of the psychosis section of the WERCAP Screen (pWERCAP) against the Structured Interview of Psychosis-Risk Symptoms (SIPS). Correlations of the pWERCAP, the affectivity section of the WERCAP Screen (aWERCAP) and the WERC Stress Screen were examined to determine the relatedness of scores with cognition and clinical measures. RESULTS Cluster analysis identified three groups of participants: a normative (47%), a psychosis-affectivity (18%) and an affectivity only (35%) group. Internal consistency of the aWERCAP and pWERCAP resulted in alphas of 0.87 and 0.92, and test-retest reliabilities resulted in intraclass correlation coefficients of 0.76 and 0.86 respectively. ROC curve analysis showed the optimal cut-point on the pWERCAP as a score of >30 (sensitivity: 0.89; specificity: 1.0). There was a significant negative correlation between aWERCAP scores and total cognition (R=-0.42), and between pWERCAP scores and sensorimotor processing speed. Total stress scores correlated significantly with scores on the aWERCAP (R=0.88), pWERCAP (R=0.62) and total cognition (R=-0.44). CONCLUSIONS Our results show that the WERCAP Screen and the WERC Stress Screen are easy to administer and derived scores are related to cognitive and clinical traits. This suggests that their use could have particular benefits for epidemiologic studies and in busy clinical settings. Longitudinal studies would be required to evaluate clinical outcomes with high questionnaire scores.
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Affiliation(s)
- Daniel Mamah
- Department of Psychiatry, Washington University, St. Louis, Missouri.
| | - Akinkunle Owoso
- Department of Psychiatry, Washington University, St. Louis, Missouri
| | - Julia M Sheffield
- Department of Psychology, Washington University, St. Louis, Missouri
| | - Chelsea Bayer
- Department of Psychiatry, Washington University, St. Louis, Missouri
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22
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Malaspina D, Dracxler R, Walsh-Messinger J, Harlap S, Goetz RR, Keefe D, Perrin MC. Telomere length, family history, and paternal age in schizophrenia. Mol Genet Genomic Med 2014; 2:326-31. [PMID: 25077175 PMCID: PMC4113273 DOI: 10.1002/mgg3.71] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Revised: 01/20/2014] [Accepted: 01/29/2014] [Indexed: 01/07/2023] Open
Abstract
Leukocyte telomere length (LTL) is longer in association with advanced paternal age, but this association has not been examined along with family history (FH) in schizophrenia. LTL was measured by PCR and compared across cases and controls as part of a study to examine the characteristics of paternal age related schizophrenia. The 53 schizophrenia cases had similar mean LTL as 20 controls, although cases were significantly older than controls and overwhelmingly smoked cigarettes. Multivariate analyses showed that a FH of schizophrenia was associated with longer LTL in both male and female cases. Later paternal age was also related to longer LTL in male cases, but with shorter LTL in female cases. Male cases with older fathers and a FH had the longest LTL. The genetic architecture associated with a familial risk for schizophrenia may include pathways that lengthen LTL. Paternal aging conferred an additional increase in LTL lengthening in male cases, but reduced LTL in female cases. The gender difference in LTL for paternal aging is consistent with the severe illness features reported for female cases with older fathers and could implicate epigenetic alterations in the paternal X chromosomal region with advanced paternal age in association with the risk for schizophrenia.
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Affiliation(s)
- Dolores Malaspina
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York ; Creedmoor Psychiatric Center, NY State Office of Mental Health New York, New York
| | - Roberta Dracxler
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York ; Department of Obstetrics and Gynecology, New York University School of Medicine New York, New York
| | - Julie Walsh-Messinger
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York
| | - Susan Harlap
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York
| | - Raymond R Goetz
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York ; Division of Clinical Phenomenology, New York State Psychiatric Institute New York, New York
| | - David Keefe
- Department of Obstetrics and Gynecology, New York University School of Medicine New York, New York
| | - Mary C Perrin
- Department of Psychiatry, Institute for Social and Psychiatric Initiatives, New York University School of Medicine New York, New York
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23
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Tsuang D, Esterberg M, Braff D, Calkins M, Cadenhead K, Dobie D, Freedman R, Green MF, Greenwood T, Gur R, Gur R, Horan W, Lazzeroni LC, Light GA, Millard SP, Olincy A, Nuechterlein K, Seidman L, Siever L, Silverman J, Stone W, Sprock J, Sugar C, Swerdlow N, Tsuang M, Turetsky B, Radant A. Is there an association between advanced paternal age and endophenotype deficit levels in schizophrenia? PLoS One 2014; 9:e88379. [PMID: 24523888 PMCID: PMC3921166 DOI: 10.1371/journal.pone.0088379] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Accepted: 01/07/2014] [Indexed: 11/18/2022] Open
Abstract
The children of older fathers have increased risks of developing schizophrenia spectrum disorders, and among those who develop these disorders, those with older fathers present with more severe clinical symptoms. However, the influence of advanced paternal age on other important domains related to schizophrenia, such as quantitative endophenotype deficit levels, remains unknown. This study investigated the associations between paternal age and level of endophenotypic impairment in a well-characterized family-based sample from the Consortium on the Genetics of Schizophrenia (COGS). All families included at least one affected subject and one unaffected sibling. Subjects met criteria for schizophrenia (probands; n = 293) or were unaffected first-degree siblings of those probands (n = 382). Paternal age at the time of subjects’ birth was documented. Subjects completed a comprehensive clinical assessment and a battery of tests that measured 16 endophenotypes. After controlling for covariates, potential paternal age–endophenotype associations were analyzed using one model that included probands alone and a second model that included both probands and unaffected siblings. Endophenotype deficits in the Identical Pairs version of the 4-digit Continuous Performance Test and in the Penn Computerized Neurocognitive Battery verbal memory test showed significant associations with paternal age. However, after correcting for multiple comparisons, no endophenotype was significantly associated with paternal age. These findings suggest that factors other than advanced paternal age at birth may account for endophenotypic deficit levels in schizophrenia.
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Affiliation(s)
- Debby Tsuang
- VISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington, United States of America ; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America
| | - Michelle Esterberg
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America
| | - David Braff
- VISN-22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, California, United States of America ; Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Monica Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kristin Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Dorcas Dobie
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America ; VISN-20 Mental Illness Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington, United States of America
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, Colorado, United States of America
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, California, United States of America ; VA Greater Los Angeles Health Care System, Los Angeles, California, United States of America
| | - Tiffany Greenwood
- Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Raquel Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Ruben Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - William Horan
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, California, United States of America ; VA Greater Los Angeles Health Care System, Los Angeles, California, United States of America
| | - Laura C Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, United States of America
| | - Gregory A Light
- VISN-22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, California, United States of America ; Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Steven P Millard
- VISN-20 Mental Illness Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington, United States of America
| | - Ann Olincy
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, Colorado, United States of America
| | - Keith Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, California, United States of America
| | - Larry Seidman
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Harvard Medical School Department of Psychiatry, Boston, Massachusetts, United States of America
| | - Larry Siever
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, United States of America; VISN-3 Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, New York, New York, United States of America
| | - Jeremy Silverman
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, United States of America; VISN-3 Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, New York, New York, United States of America
| | - William Stone
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Harvard Medical School Department of Psychiatry, Boston, Massachusetts, United States of America
| | - Joyce Sprock
- Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Catherine Sugar
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, California, United States of America ; VA Greater Los Angeles Health Care System, Los Angeles, California, United States of America
| | - Neal Swerdlow
- Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Ming Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, California, United States of America
| | - Bruce Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Allen Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America
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Effect of parental age on treatment response in adolescents with schizophrenia. Schizophr Res 2013; 151:185-90. [PMID: 24144440 PMCID: PMC4208878 DOI: 10.1016/j.schres.2013.10.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2013] [Revised: 10/01/2013] [Accepted: 10/03/2013] [Indexed: 12/14/2022]
Abstract
BACKGROUND Advanced paternal age (APA) is associated with increased risk for schizophrenia, but its effect on treatment response has not been longitudinally studied. METHODS Association of parental ages at the time of the child's birth with age of onset, initial symptom severity and treatment response (to placebo and three different weight-based doses of paliperidone ER) in adolescents with schizophrenia was assessed in a post-hoc analysis using data from a 6-week double-blind study, the primary results of which are published (NCT00518323). RESULTS The mean (SD) paternal age was 29.2 (6.2) years, range (16-50) and maternal age was 26.8 (5.7) years, range (17-42) at childbirth for the 201 adolescents (ages 12-17 years) included in the analysis. While parental ages were uncorrelated with age of onset or initial symptom severity, both maternal and paternal ages showed significant effects on treatment response (p<0.03) of all paliperidone ER arms versus placebo. Paternal age was significantly correlated to improvement in positive symptoms and maternal age significantly related to negative symptoms, although only paternal age remained significantly associated with the treatment response in analyses that included both parents' ages. CONCLUSIONS APA was associated with greater treatment response to both paliperidone ER and placebo, but not to age of onset or initial symptom severity in adolescents with schizophrenia. The results support the contention that APA-related schizophrenia has distinct underpinnings from other cases. Further studies are required to explore the role of genetic and environmental factors, and their interactions, in treatment response in this complex disorder.
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Ochoa S, Huerta-Ramos E, Barajas A, Iniesta R, Dolz M, Baños I, Sánchez B, Carlson J, Foix A, Pelaez T, Coromina M, Pardo M, Usall J. Cognitive profiles of three clusters of patients with a first-episode psychosis. Schizophr Res 2013; 150:151-6. [PMID: 23958487 DOI: 10.1016/j.schres.2013.07.054] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Revised: 07/05/2013] [Accepted: 07/29/2013] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The primary objective was to identify specific groups of patients with a first-episode psychosis based on family history, obstetric complications, neurological soft signs, and premorbid functioning. The secondary objective was to relate these groups with cognitive variables. METHOD A total of 62 first-episode psychoses were recruited from adult and child and adolescent mental health services. The inclusion criteria were patients between 7 and 65 years old (real range of the samples was 13-35 years old), two or more psychotic symptoms and less than one year from the onset of the symptoms. Premorbid functioning (PAS), soft signs (NES), obstetric complications and a neuropsychological battery (CPT, TMTA/TMTB, TAVEC/TAVECI, Stroop, specific subtest of WAIS-III/WISC-IV) were administered. RESULTS We found three clusters: 1) higher neurodevelopment contribution (N=14), 2) higher genetic contribution (N=30), and 3) lower neurodevelopment contribution (N=18). Statistical differences were found between groups in TMTB, learning curve of the TAVEC, digits of the WAIS and premorbid estimated IQ, the cluster 1 being the most impaired. CONCLUSIONS A cluster approach could differentiate several groups of patients with different cognitive performance. Neuropsychological interventions, as cognitive remediation, should be addressed specifically to patients with more impaired results.
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Affiliation(s)
- Susana Ochoa
- Parc Sanitari Sant Joan de Déu. Sant Boi de Llobregat (Barcelona), CIBERSAM, Spain.
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26
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Perumal V, Mahalingam V. Insights from the clustering of microarray data associated with the heart disease. Bioinformation 2013; 9:759-65. [PMID: 24023417 PMCID: PMC3766307 DOI: 10.6026/97320630009759] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2013] [Revised: 08/08/2013] [Accepted: 08/09/2013] [Indexed: 11/23/2022] Open
Abstract
Heart failure (HF) is the major of cause of mortality and morbidity in the developed world. Gene expression profiles of animal model of heart failure have been used in number of studies to understand human cardiac disease. In this study, statistical methods of analysing microarray data on cardiac tissues from dogs with pacing induced HF were used to identify differentially expressed genes between normal and two abnormal tissues. The unsupervised techniques principal component analysis (PCA) and cluster analysis were explored to distinguish between three different groups of 12 arrays and to separate the genes which are up regulated in different conditions among 23912 genes in heart failure canines' microarray data. It was found that out of 23912 genes, 1802 genes were differentially expressed in the three groups at 5% level of significance and 496 genes were differentially expressed at 1% level of significance using one way analysis of variance (ANOVA). The genes clustered using PCA and clustering analysis were explored in the paper to understand HF and a small number of differentially expressed genes related to HF were identified.
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Affiliation(s)
- Venkatesan Perumal
- Department of Statistics, National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Indian Council of Medical Research, Chennai-31, India
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27
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Abbs B, Achalia RM, Adelufosi AO, Aktener AY, Beveridge NJ, Bhakta SG, Blackman RK, Bora E, Byun MS, Cabanis M, Carrion R, Castellani CA, Chow TJ, Dmitrzak-Weglarz M, Gayer-Anderson C, Gomes FV, Haut K, Hori H, Kantrowitz JT, Kishimoto T, Lee FHF, Lin A, Palaniyappan L, Quan M, Rubio MD, Ruiz de Azúa S, Sahoo S, Strauss GP, Szczepankiewicz A, Thompson AD, Trotta A, Tully LM, Uchida H, Velthorst E, Young JW, O’Shea A, DeLisi LE. The 3rd Schizophrenia International Research Society Conference, 14-18 April 2012, Florence, Italy: summaries of oral sessions. Schizophr Res 2012; 141:e1-e24. [PMID: 22910407 PMCID: PMC3877922 DOI: 10.1016/j.schres.2012.07.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Accepted: 07/23/2012] [Indexed: 01/30/2023]
Abstract
The 3rd Schizophrenia International Research Society Conference was held in Florence, Italy, April 14-18, 2012 and this year had as its emphasis, "The Globalization of Research". Student travel awardees served as rapporteurs for each oral session and focused their summaries on the most significant findings that emerged and the discussions that followed. The following report is a composite of these summaries. We hope that it will provide an overview for those who were present, but could not participate in all sessions, and those who did not have the opportunity to attend, but who would be interested in an update on current investigations ongoing in the field of schizophrenia research.
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Affiliation(s)
- Brandon Abbs
- Brigham and Women’s Hospital, Department of Medicine, Connors Center for Women’s Health, Harvard Medical School, Department of Psychiatry, 1620 Tremont Street BC 3-34 Boston, MA 02120, Phone: 617-525-8641, Fax: 617-525-7900
| | - Rashmin M Achalia
- Department of Psychiatry, Government Medical College, Aurangabad, Maharashtra, India. Phone: + 91 9028851672, Fax: + 91 0240 2402418
| | - Adegoke O Adelufosi
- Dbepartment of Psychiatry, Ladoke Akintola University, Teaching Hospital (LAUTECH), Ogbomoso, Oyo State, Nigeria. P.O. Box 2210, Sapon, Abeokuta, Ogun State, Nigeria, Phone: +234 803 5988 054
| | - Ahmet Yiğit Aktener
- Göksun State Hospital, Göksun, Kahramanmaraş, Turkey, Phone: (0090) 532 4465832
| | - Natalie J Beveridge
- School of Biomedical Sciences & Pharmacy, Schizophrenia Research Institute, Room 616 Medical Sciences Building, University of Newcastle, Callaghan NSW 2308, Phone: (02) 4921 8748, Fax: (02) 4921 7903
| | - Savita G Bhakta
- Hofstra-NSLIJHS School of Medicine/The Zucker Hillside Hospital, address: 75 59 263rd street, Glen Oaks, NY-11004, Phone: 718-470-8232, Fax: 718-831-0368
| | - Rachael K Blackman
- University of Minnesota Medical Scientist Training Program (MD/PhD), University of Minnesota Neuroscience Department, and Brain Sciences Center VA Medical Center, Minneapolis, MN, University of Minnesota, Medical Scientist Training Program (MD/PhD), B681 Mayo, 420 Delaware St. SE, Minneapolis, MN 55455, Phone: 612-467-5077
| | - Emre Bora
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, VIC, Australia. Alan Gilbert Building NNF level 3 University of Melbourne, VIC, Australia, Phone: 61 3 8345 5611, Fax: 61 3 8345 5610
| | - MS Byun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea, address: Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-no, Chongno-gu, Seoul 110-744, Republic of Korea. Phone: +82-2-2072-2457 Fax: +82-2-747-9063
| | - Maurice Cabanis
- Department of Psychiatry and Psychotherapy, Philipps-University, Rudolf-Bultmann-Straße 8, D-35039 Marburg, Germany, Department of Psychiatry and Psychotherapy, Philipps-University of Marburg, Rudolf-Bultmann-Str. 8, D-35039 Marburg, Germany Phone: +49(0)6421-58-66932, Fax: +49(0)6421-58-68939
| | - Ricardo Carrion
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore – Long Island Jewish Health System (NS-LIJHS), Glen Oaks, NY, USA, 2. Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore – Long Island Jewish Health System, Manhasset, New York, 11030, USA, Phone: 718-470-8878, Fax: 718-470-8131
| | - Christina A Castellani
- Molecular Genetics Unit, Department of Biology, The University of Western Ontario, London, Ontario, Canada, Phone: 519-661-2111 x86928, Fax: 519-661-3935
| | - Tze Jen Chow
- Universiti Tunku Abdul Rahman, Jalan Genting Kelang, Setapak 53300, Kuala Lumpur, Malaysia, Phone: +603-41079802
| | - M Dmitrzak-Weglarz
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Szpitalna St. 27/33, Poznan, 60-572, Poland, Phone: +48 618491311, Fax: +48 61484392
| | - Charlotte Gayer-Anderson
- Institute of Psychiatry, King’s College London, De Crespigny Park, London, United Kingdom, SE5 8AF, Phone: 0207 848 5060
| | - Felipe V Gomes
- Department of Pharmacology, School of Medicine of Ribeirão Preto, University of São Paulo, Bandeirantes Avenue, 3900, Ribeirão Preto/SP 14049-900, Brazil
| | - Kristen Haut
- University of California, Los Angeles, 1285 Franz Hall, University of California, Los Angeles, CA, 90095, Phone: 310-794-9673, Fax: 310-794-9740
| | - Hiroaki Hori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawahigashi, Kodaira, Tokyo, 187-8502, Japan, Phone: +81 42 341 2711, Fax: +81 42 346 1744
| | - Joshua T Kantrowitz
- New York State Psychiatric Institute/Nathan Kline Institute for Psychiatric Research 1051 Riverside Drive, Room 5807, New York, NY 10023, Phone: 212-543-6711, Fax: 212-543-1350
| | - Taishiro Kishimoto
- (1) The Zucker Hillside Hospital, Psychiatry Research, 75-59 263rd street, Glen Oaks, NY 11004 USA (2) Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan, Phone: +1-718-470-8386, Fax: +718-343-1659
| | - Frankie HF Lee
- 1. Centre for Addiction and Mental Health, 250 College St. Toronto, Ontario, Canada, M5T 1R8, 2. Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada, M5S 1A8, Phone: +1416-535-8501 ext. 4084, Fax: +1416-979-4663
| | - Ashleigh Lin
- School of Psychology, University of Birmingham, Edgbaston, B152TT, United Kingdom, Phone: +44 121 414 6241, Fax: +44 121 414 4897
| | - Lena Palaniyappan
- Translational Neuroimaging, Division of Psychiatry, University of Nottingham address: C09, Institute of Mental Health, University of Nottingham Innovation Park, Triumph Road, Nottingham, NG7 2TU, Phone: 01157430407, Fax: 01157430422
| | - Meina Quan
- 1. Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02215. 2. Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Harvard Medical School, 940 Belmont Street, Brockton, MA, 02301, Phone: 617-525-6264, Fax: 617-525-6150
| | - Maria D Rubio
- University of Alabama at Birmingham, Department of Psychiatry and Behavioral Neurobiology, 1719 6th Ave S Rm 590, Birmingham, AL 35233, Phone: 205-996-6229
| | - Sonia Ruiz de Azúa
- CIBERSAM (Biomedical Research Center in Mental Health Net), University Hospital of Alava, University of the Basque Country, 29 Olaguibel St., 01004, Vitoria, Spain. Phone: 0034 945007664, Fax: 0034 945007664
| | - Saddichha Sahoo
- Clinical Fellow, Dept of Psychiatry, University of British Columbia, Vancouver, BC, Canada V6T1Z3
| | - Gregory P Strauss
- Department of Psychiatry, University of Maryland School of Medicine, Maryland Psychiatric Research Center, P.O. Box 21247, Baltimore, MD 21228, Phone: (410) 402-6104, Fax: (410) 402-7198
| | - Aleksandra Szczepankiewicz
- Laboratory of Molecular and Cell Biology, Department of Psychiatric Genetics, Poznan University of Medical Sciences, 27/33 Szpitalna St., 60-572 Poznan, Poland, Phone: +48-618491311, Fax: +48-61-8480111
| | - Andrew D Thompson
- Orygen Youth Health Research Centre, 35 Poplar Rd, Parkville, VIC 3052, Australia Phone: +61 3 93422800, Fax: +61 3 9342 2941
| | - Antonella Trotta
- Psychosis Studies, Institute of Psychiatry, King’s College London, United Kingdom, PO52 Psychosis Studies, Institute of Psychiatry, King’s College London, De Crespigny Park, London SE5 8AF, United Kingdom, Phone: +44 (0)743 5214863, Fax: +44 (0)20 7848 0287
| | - Laura M Tully
- Harvard University, Address: 33 Kirkland St., Cambridge MA 02138, Phone: 857-207-5509
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjukuku, Tokyo, 160-8582, Japan, Phone: +81.3.3353.1211(x62454), Fax: +81.3.5379.0187
| | - Eva Velthorst
- Academic Medical Center, Department of Early Psychosis, Meibergdreef 5, 1105 AZ Amsterdam, the Netherlands, Phone: +31 (0)20 89 13671, Fax: +31 (0)20 89 13635
| | - Jared W Young
- University of California San Diego, Department of Psychiatry, 9500 Gilman Drive, La Jolla, CA, 92093-0804, Phone: 619 543 3582, Fax: 619 543 2493
| | - Anne O’Shea
- Coordinator of reports. Harvard Medical School, VA Boston Healthcare System, 940 Belmont Street, Brockton, MA 02301, Phone: 774-826-1374
| | - Lynn E. DeLisi
- Corresponding Author, VA Boston Healthcare System and Harvard Medical School, 940 Belmont Street, Brockton, MA 02301, Phone: 774-826-1355, Fax: 774-826-1758, Address all correspondence to Lynn E DeLisi, MD,
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Mura G, Petretto DR, Bhat KM, Carta MG. Schizophrenia: from epidemiology to rehabilitation. Clin Pract Epidemiol Ment Health 2012; 8:52-66. [PMID: 22962559 PMCID: PMC3434422 DOI: 10.2174/1745017901208010052] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2011] [Revised: 12/26/2011] [Accepted: 01/01/2012] [Indexed: 12/27/2022]
Abstract
Purpose/Objective: We discuss recent evidences about schizophrenia (frequency, onset, course, risk factors and genetics) and their influences to some epidemiological myths about schizophrenia diffuse between psychiatric and psychopathology clinicians. The scope is to evaluate if the new acquisitions may change the rehabilitation approaches to schizophrenia modifying the balance about the neurodevelopmental hypothesis of schizophrenia accepting that the cognitive deficits are produced by errors during the normal development of the brain (neurodevelopmental hypothesis) that remains stable in the course of illness and the neurodegenerative hypothesis according of which they derived from a degenerative process that goes on inexorably. Research Method/Design: A review of the literature about epidemiology of schizophrenia has been performed and the contributions of some of these evidence to neurodevelopmental hypothesis and to rehabilitation has been described. Results: It cannot be definitively concluded for or against the neurodevelopmental or degenerative hypothesis, but efforts in understanding basis of schizophrenia must go on. Until now, rehabilitation programs are based on the vulnerability-stress model: supposing an early deficit that go on stable during the life under favorable circumstances. So, rehabilitation approaches (as neuro-cognitive approaches, social skill training, cognitive-emotional training) are focused on the individual and micro-group coping skills, aiming to help people with schizophrenia to cope with environmental stress factors. Conclusions/Implications: Coping of cognitive deficits in schizophrenia may represents the starting-point for further research on schizophrenia, cohort studies and randomized trials are necessary to defined the range of effectiveness and the outcome of the treatments.
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Affiliation(s)
- Gioia Mura
- Consultation Liaison Psychiatric Unit at the University Hospital of Cagliari, University of Cagliari and AOU Cagliari - Italy
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29
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Wiener-Megnazi Z, Auslender R, Dirnfeld M. Advanced paternal age and reproductive outcome. Asian J Androl 2011; 14:69-76. [PMID: 22157982 DOI: 10.1038/aja.2011.69] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Women have been increasingly delaying the start of motherhood in recent decades. The same trend is seen also for men. The influence of maternal age on fertility, chromosomal anomalies, pregnancy complications, and impaired perinatal and post-natal outcome of offspring, has been thoroughly investigated, and these aspects are clinically applied during fertility and pregestational counseling. Male aging and reproductive outcome has gained relatively less attention. The purpose of this review is to evaluate updated and relevant literature on the effect of paternal age on reproductive outcome.
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Affiliation(s)
- Zofnat Wiener-Megnazi
- Fertility and IVF Unit, Department of Obstetrics and Gynecology, Carmel Medical Center, the Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
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30
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Frans EM, McGrath JJ, Sandin S, Lichtenstein P, Reichenberg A, Långström N, Hultman CM. Advanced paternal and grandpaternal age and schizophrenia: a three-generation perspective. Schizophr Res 2011; 133:120-4. [PMID: 22000939 PMCID: PMC3660090 DOI: 10.1016/j.schres.2011.09.027] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Revised: 09/13/2011] [Accepted: 09/18/2011] [Indexed: 12/16/2022]
Abstract
BACKGROUND Advanced paternal age has been linked with an increased risk of schizophrenia in the offspring. If age-related de novo mutations in the male germ line underlie this association, grandpaternal and paternal age would both be expected to influence the risk of schizophrenia. The aim of the current study was to explore the links between both paternal and grandpaternal age with respect to the risk of schizophrenia in a large, national register-based cohort. METHOD We linked the Swedish Multi-Generation and Hospital Discharge Registers and compared parents' ages at offspring birth for 20,582 schizophrenia-affected and 100,176 non-affected individuals. Grandparents' ages at the birth of the parent were compared between 2511 affected and 15,619 non-affected individuals. The risk of schizophrenia was examined with logistic regression when the predictor variable (parent or grandparent age) varied across age strata. RESULTS After adjusting for maternal age, birth year and proband sex, we confirmed that offspring of older fathers had an increased risk of schizophrenia. Compared to those with paternal age 20-24years, those with fathers >55years had a two-fold increased risk of schizophrenia. With respect to grandparent age, older maternal (but not paternal) grandfather age was associated with an increased risk of schizophrenia. Compared to maternal grandfather age 20-24years, those with maternal grandfathers >55years had a significantly increased risk of schizophrenia (adjusted odds ratio and 95% confidence intervals; 2.79, 1.71-4.56). The pattern of results was essentially unchanged when we examined male and female probands separately. CONCLUSION This is the first study to report an association between grandpaternal age and risk of schizophrenia. The selective effect of advanced maternal grandfather age suggests that the biological mechanisms involving the X-chromosome may differentially contribute to the association between paternal age and offspring risk of schizophrenia.
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Affiliation(s)
- Emma M. Frans
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet,Stockholm, Sweden
| | - John J. McGrath
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health,Richlands, Australia,Queensland Brain Institute, The University of Queensland, St. Lucia, Australia,Department of Psychiatry, The University of Queensland, St. Lucia, Australia
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet,Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet,Stockholm, Sweden
| | - Abraham Reichenberg
- Department of Psychosis Studies, Institute of Psychiatry, King’s Health Partners,King’s College London, London, UK,Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - Niklas Långström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet,Stockholm, Sweden,Centre for Violence Prevention, Karolinska Institutet, Stockholm, Sweden
| | - Christina M. Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet,Stockholm, Sweden
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