Literature DB >> 28416810

The joint impact of cognitive performance in adolescence and familial cognitive aptitude on risk for major psychiatric disorders: a delineation of four potential pathways to illness.

K S Kendler1,2,3, H Ohlsson4, R S E Keefe5, K Sundquist4, J Sundquist4.   

Abstract

How do joint measures of premorbid cognitive ability and familial cognitive aptitude (FCA) reflect risk for a diversity of psychiatric and substance use disorders? To address this question, we examined, using Cox models, the predictive effects of school achievement (SA) measured at age 16 and FCA-assessed from SA in siblings and cousins, and educational attainment in parents-on risk for 12 major psychiatric syndromes in 1 140 608 Swedes born 1972-1990. Four developmental patterns emerged. In the first, risk was predicted jointly by low levels of SA and high levels of FCA-that is a level of SA lower than would be predicted from the FCA. This pattern was strongest in autism spectrum disorders and schizophrenia, and weakest in bipolar illness. In these disorders, a pathologic process seems to have caused cognitive functioning to fall substantially short of familial potential. In the second pattern, seen in the internalizing conditions of major depression and anxiety disorders, risk was associated with low SA but was unrelated to FCA. Externalizing disorders-drug abuse and alcohol use disorders-demonstrated the third pattern, in which risk was predicted jointly by low SA and low FCA. The fourth pattern, seen in eating disorders, was directly opposite of that observed in externalizing disorders with risk associated with high SA and high FCA. When measured together, adolescent cognitive ability and FCA identified four developmental patterns leading to diverse psychiatric disorders. The value of cognitive assessments in psychiatric research can be substantially increased by also evaluating familial cognitive potential.

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Year:  2017        PMID: 28416810      PMCID: PMC5647225          DOI: 10.1038/mp.2017.78

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  47 in total

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2.  Recurrence risks for schizophrenia in a Swedish national cohort.

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Review 3.  The role of de novo mutations in the genetics of autism spectrum disorders.

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4.  Behavioral and intellectual markers for schizophrenia in apparently healthy male adolescents.

Authors:  M Davidson; A Reichenberg; J Rabinowitz; M Weiser; Z Kaplan; M Mark
Journal:  Am J Psychiatry       Date:  1999-09       Impact factor: 18.112

5.  Perfectionism, perceived weight status, and self-esteem interact to predict bulimic symptoms: a model of bulimic symptom development.

Authors:  K D Vohs; A M Bardone; T E Joiner; L Y Abramson; T F Heatherton
Journal:  J Abnorm Psychol       Date:  1999-11

Review 6.  Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention.

Authors:  J D Hawkins; R F Catalano; J Y Miller
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7.  Adolescent school failure predicts later depression among girls.

Authors:  Carolyn A McCarty; W Alex Mason; Rick Kosterman; J David Hawkins; Liliana J Lengua; Elizabeth McCauley
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8.  De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia.

Authors:  G Kirov; A J Pocklington; P Holmans; D Ivanov; M Ikeda; D Ruderfer; J Moran; K Chambert; D Toncheva; L Georgieva; D Grozeva; M Fjodorova; R Wollerton; E Rees; I Nikolov; L N van de Lagemaat; A Bayés; E Fernandez; P I Olason; Y Böttcher; N H Komiyama; M O Collins; J Choudhary; K Stefansson; H Stefansson; S G N Grant; S Purcell; P Sklar; M C O'Donovan; M J Owen
Journal:  Mol Psychiatry       Date:  2011-11-15       Impact factor: 15.992

9.  Schizophrenia risk alleles and neurodevelopmental outcomes in childhood: a population-based cohort study.

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10.  Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Authors:  S Hong Lee; Stephan Ripke; Benjamin M Neale; Stephen V Faraone; Shaun M Purcell; Roy H Perlis; Bryan J Mowry; Anita Thapar; Michael E Goddard; John S Witte; Devin Absher; Ingrid Agartz; Huda Akil; Farooq Amin; Ole A Andreassen; Adebayo Anjorin; Richard Anney; Verneri Anttila; Dan E Arking; Philip Asherson; Maria H Azevedo; Lena Backlund; Judith A Badner; Anthony J Bailey; Tobias Banaschewski; Jack D Barchas; Michael R Barnes; Thomas B Barrett; Nicholas Bass; Agatino Battaglia; Michael Bauer; Mònica Bayés; Frank Bellivier; Sarah E Bergen; Wade Berrettini; Catalina Betancur; Thomas Bettecken; Joseph Biederman; Elisabeth B Binder; Donald W Black; Douglas H R Blackwood; Cinnamon S Bloss; Michael Boehnke; Dorret I Boomsma; Gerome Breen; René Breuer; Richard Bruggeman; Paul Cormican; Nancy G Buccola; Jan K Buitelaar; William E Bunney; Joseph D Buxbaum; William F Byerley; Enda M Byrne; Sian Caesar; Wiepke Cahn; Rita M Cantor; Miguel Casas; Aravinda Chakravarti; Kimberly Chambert; Khalid Choudhury; Sven Cichon; C Robert Cloninger; David A Collier; Edwin H Cook; Hilary Coon; Bru Cormand; Aiden Corvin; William H Coryell; David W Craig; Ian W Craig; Jennifer Crosbie; Michael L Cuccaro; David Curtis; Darina Czamara; Susmita Datta; Geraldine Dawson; Richard Day; Eco J De Geus; Franziska Degenhardt; Srdjan Djurovic; Gary J Donohoe; Alysa E Doyle; Jubao Duan; Frank Dudbridge; Eftichia Duketis; Richard P Ebstein; Howard J Edenberg; Josephine Elia; Sean Ennis; Bruno Etain; Ayman Fanous; Anne E Farmer; I Nicol Ferrier; Matthew Flickinger; Eric Fombonne; Tatiana Foroud; Josef Frank; Barbara Franke; Christine Fraser; Robert Freedman; Nelson B Freimer; Christine M Freitag; Marion Friedl; Louise Frisén; Louise Gallagher; Pablo V Gejman; Lyudmila Georgieva; Elliot S Gershon; Daniel H Geschwind; Ina Giegling; Michael Gill; Scott D Gordon; Katherine Gordon-Smith; Elaine K Green; Tiffany A Greenwood; Dorothy E Grice; Magdalena Gross; Detelina Grozeva; Weihua Guan; Hugh Gurling; Lieuwe De Haan; Jonathan L Haines; 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2.  Academic performance, externalizing disorders and depression: 26,000 adolescents followed into adulthood.

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3.  Prefrontal networks dynamically related to recovery from major depressive disorder: a longitudinal pharmacological fMRI study.

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4.  Is genetic liability to ADHD and ASD causally linked to educational attainment?

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