Age-dependent patterns of schizophrenia genetic risk affect cognition

被引:2
作者
Kuo, Susan S. [1 ,2 ,3 ]
Musket, Christie W. [1 ]
Rupert, Petra E. [1 ]
Almasy, Laura [4 ]
Gur, Ruben C. [5 ]
Prasad, Konasale M. [6 ,7 ,8 ]
Roalf, David R. [5 ]
Gur, Raquel E. [5 ]
Nimgaonkar, Vishwajit L. [6 ,8 ,9 ]
Pogue-Geile, Michael F. [1 ,6 ]
机构
[1] Univ Pittsburgh, Dept Psychol, Pittsburgh, PA 15260 USA
[2] Broad Inst MIT & Harvard, Stanley Ctr Psychiat Genet, Cambridge, MA 02142 USA
[3] Harvard Med Sch, Ctr Genom Med, Massachusetts Gen Hosp, Boston, MA USA
[4] Univ Penn, Dept Genet, Philadelphia, PA USA
[5] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA
[6] Univ Pittsburgh, Dept Psychiat, Philadelphia, PA USA
[7] Univ Pittsburgh, Dept Bioengn, Philadelphia, PA USA
[8] Vet Affairs Pittsburgh Healthcare Syst, Pittsburgh, PA USA
[9] Univ Pittsburgh, Dept Human Genet, Pittsburgh, PA USA
基金
加拿大健康研究院; 美国国家卫生研究院;
关键词
Psychiatric genetics; Developmental risk; Psychosis; Clinical high risk; Age of onset; Heritability; POLYGENIC RISK; TWIN; OVERLAP; NEUROCOGNITION; METAANALYSIS; CHILDHOOD; PSYCHOSIS; DEFICITS; ABILITY; HEALTH;
D O I
10.1016/j.schres.2022.05.012
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Cognition shares substantial genetic overlap with schizophrenia, yet it remains unclear whether such genetic effects become significant during developmental periods of elevated risk for schizophrenia, such as the peak age of onset. We introduce an investigative framework integrating epidemiological, developmental, and genetic approaches to determine whether genetic effects shared between schizophrenia and cognition are significant across periods of differing risk for schizophrenia onset, and whether these effects are shared with depression. 771 European-American participants, including 636 (ages 15-84 years) from families with at least two first-degree relatives with schizophrenia and 135 unrelated controls, were divided into three age-risk groups based on ages relative to epidemiological age of onset patterns for schizophrenia: Pre-Peak (before peak age-of-onset: 15 to 22 years), Post-Peak (after peak age-of-onset: 23-42 years), and Plateau (during plateau of age-of-onset: over 42 years). For general cognition and 11 specific cognitive traits, we estimated genetic correlations with schizophrenia and with depression within each age-risk group. Genetic effects shared between deficits in general cognition and schizophrenia were nonsignificant before peak age of onset, yet were high and significant after peak age of onset and during the plateau of onset. These age-dependent genetic effects were largely consistent across specific cognitive traits and not transdiagnostically shared with depression. Schizophrenia genetic effects appear to influence cognitive traits in an age-dependent manner, supporting late developmental and perhaps neurodegenerative models that hypothesize increased expression of schizophrenia risk genes during and after the peak age of risk. Our findings underscore the utility of cognitive traits for tracking schizophrenia genetic effects across the lifespan.
引用
收藏
页码:39 / 48
页数:10
相关论文
共 50 条
  • [1] General Cognition Shows Age-Dependent Patterns of Genetic Overlap With Schizophrenia Liability
    Kuo, Susan S.
    Musket, Christie
    Rupert, Petra
    Almasy, Laura
    Gur, Ruben C.
    Prasad, Konasale
    Roalf, David
    Gur, Raquel E.
    Nimgaonkar, Vishwajit
    Pogue-Geile, Michael
    BIOLOGICAL PSYCHIATRY, 2021, 89 (09) : S318 - S318
  • [2] Age-Dependent Effects of Schizophrenia Genetic Risk on Cortical Thickness and Cortical Surface Area: Evaluating Evidence for Neurodevelopmental and Neurodegenerative Models of Schizophrenia
    Kuo, Susan S.
    Roalf, David R.
    Prasad, Konasale M.
    Musket, Christie W.
    Rupert, Petra E.
    Wood, Joel
    Gur, Ruben C.
    Almasy, Laura
    Gur, Raquel E.
    Nimgaonkar, Vishwajit L.
    Pogue-Geile, Michael F.
    JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE, 2022, 131 (06): : 674 - 688
  • [3] CNVs conferring risk of autism or schizophrenia affect cognition in controls
    Stefansson, Hreinn
    Meyer-Lindenberg, Andreas
    Steinberg, Stacy
    Magnusdottir, Brynja
    Morgen, Katrin
    Arnarsdottir, Sunna
    Bjornsdottir, Gyda
    BragiWalters, G.
    Jonsdottir, Gudrun A.
    Doyle, Orla M.
    Tost, Heike
    Grimm, Oliver
    Kristjansdottir, Solveig
    Snorrason, Heimir
    Davidsdottir, Solveig R.
    Gudmundsson, Larus J.
    Jonsson, Gudbjorn F.
    Stefansdottir, Berglind
    Helgadottir, Isafold
    Haraldsson, Magnus
    Jonsdottir, Birna
    Thygesen, Johan H.
    Schwarz, Adam J.
    Didriksen, Michael
    Stensbol, Tine B.
    Brammer, Michael
    Kapur, Shitij
    Halldorsson, Jonas G.
    Hreidarsson, Stefan
    Saemundsen, Evald
    Sigurdsson, Engilbert
    Stefansson, Kari
    NATURE, 2014, 505 (7483) : 361 - +
  • [4] Age dependent association of inbreeding with risk for schizophrenia in Egypt
    McClain, Lora
    Mansour, Hader
    Ibrahim, Ibtihal
    Klei, Lambertus
    Fathi, Warda
    Wood, Joel
    Kodavali, Chowdari
    Maysterchuk, Alina
    Wood, Shawn
    El-Chennawi, Farha
    Ibrahim, Nahed
    Eissa, Ahmed
    El-Bahaei, Wafaa
    El Sayed, Hanan
    Yassein, Amal
    Tobar, Salwa
    El-Boraie, Hala
    El-Sheshtawy, Eman
    Salah, Hala
    Ali, Ahmed
    Erdin, Serkan
    Devlin, Bernie
    Talkowski, Michael
    Nimgaonkar, Vishwajit
    SCHIZOPHRENIA RESEARCH, 2020, 216 : 450 - 459
  • [5] Age-dependent genetic variation in aggression
    Fortunato, Jennifer A.
    Earley, Ryan L.
    BIOLOGY LETTERS, 2023, 19 (01)
  • [6] COGNITION, OPTIMISM, AND THE FORMATION OF AGE-DEPENDENT SURVIVAL BELIEFS
    Grevenbrock, Nils
    Groneck, Max
    Ludwig, Alexander
    Zimper, Alexander
    INTERNATIONAL ECONOMIC REVIEW, 2021, 62 (02) : 887 - 918
  • [7] Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample
    Tiego, Jeggan
    Thompson, Kate
    Arnatkeviciute, Aurina
    Hawi, Ziarih
    Finlay, Amy
    Sabaroedin, Kristina
    Johnson, Beth
    Bellgrove, Mark A.
    Fornito, Alex
    SCHIZOPHRENIA BULLETIN, 2023, 49 (05) : 1217 - 1228
  • [8] Changes in patterns of age-related network connectivity are associated with risk for schizophrenia
    Passiatore, Roberta
    Antonucci, Linda A.
    DeRamus, Thomas P.
    Fazio, Leonardo
    Stolfa, Giuseppe
    Sportelli, Leonardo
    Kikidis, Gianluca C.
    Blasi, Giuseppe
    Chen, Qiang
    Dukart, Juergen
    Goldman, Aaron L.
    Mattay, Venkata S.
    Popolizio, Teresa
    Rampino, Antonio
    Sambataro, Fabio
    Selvaggi, Pierluigi
    Ulrich, William
    Weinberger, Daniel R.
    Bertolino, Alessandro
    Calhoun, Vince D.
    Pergola, Giulio
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 120 (32)
  • [9] Genetic Stratification of Age-Dependent Parkinson's Disease Risk by Polygenic Hazard Score
    Pihlstrom, Lasse
    Fan, Chun C.
    Frei, Oleksandr
    Tan, Manuela
    Karunamuni, Roshan A.
    Blauwendraat, Cornelis
    Bandres-Ciga, Sara
    Gan-Or, Ziv
    Grosset, Donald G.
    Dale, Anders M.
    Seibert, Tyler M.
    Andreassen, Ole A.
    MOVEMENT DISORDERS, 2022, 37 (01) : 62 - 69
  • [10] Association between polygenic risk for schizophrenia, neurocognition and social cognition across development
    Germine, L.
    Robinson, E. B.
    Smoller, J. W.
    Calkins, M. E.
    Moore, T. M.
    Hakonarson, H.
    Daly, M. J.
    Lee, P. H.
    Holmes, A. J.
    Buckner, R. L.
    Gur, R. C.
    Gur, R. E.
    TRANSLATIONAL PSYCHIATRY, 2016, 6 : e924 - e924