Polygenic Risk of Schizophrenia and Cognition in a Population-Based Survey of Older Adults.

Cognitive impairment is a common feature of the major psychotic disorders, with deficits often present in at risk individuals and unaffected first-degree relatives. Previous studies have suggested that polygenic risk scores (PRS) for schizophrenia (SCZ) are associated with cognitive deficits, but there has been little examination of this association in longitudinal datasets, or comparison with other disorders. We used mixed models to study the association between PRS for 4 adult onset psychiatric disorders with cross-sectional cognitive performance and longitudinal cognitive decline in 8616 older adults from the Health and Retirement Study (HRS), followed for an average of 10 years. PRS were computed for SCZ, bipolar disorder (BD), Major Depressive Disorder (MDD), and Alzheimer's disease (ALZ). SCZ PRS associated with decreased cognitive function (z = -3.00, P = .001, ΔR (2) = 0.04%), which was largely driven by an association with impaired attention and orientation (z = -3.33, P = 4.3×10(-4), ΔR (2) = 0.08%). We found no effect of BD or MDD PRS on cognition, in contrast to a robust effect of the APOE4/TOMM40 locus (z = -5.05, P = 2.2×10(-7), ΔR (2) = 0.36%), which was primarily associated with impaired verbal memory (z = -5.15, P = 1.3×10(-7), ΔR (2) = 0.21%). APOE4/TOMM40 locus and the ALZ PRS, but not the PRS for SCZ, were associated with greater cognitive decline. In summary, using a large, representative sample of older adults, we found evidence for different degrees of association between polygenic risk for SCZ and genetic risk factors for ALZ on cognitive function and decline, highlighting potential differences in the pathophysiology of cognitive deficits seen in SCZ and ALZ.

[1]  I. Gottesman,et al.  The endophenotype concept in psychiatry: etymology and strategic intentions. , 2003, The American journal of psychiatry.

[2]  R. Suzman,et al.  An Overview of the Health and Retirement Study , 1995 .

[3]  M. Owen,et al.  A population-based study of shared genetic variation between premorbid IQ and psychosis among male twin pairs and sibling pairs from Sweden. , 2012, Archives of general psychiatry.

[4]  Caroline Hayward,et al.  Ageing: Cognitive change and the APOE ɛ4 allele , 2002, Nature.

[5]  Tyrone D. Cannon,et al.  Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study , 2009, The Lancet.

[6]  L. Berkman,et al.  Social Disengagement and Incident Cognitive Decline in Community-Dwelling Elderly Persons , 1999, Annals of Internal Medicine.

[7]  C. Turvey,et al.  A Revised CES-D Measure of Depressive Symptoms and a DSM-Based Measure of Major Depressive Episodes in the Elderly , 1999, International Psychogeriatrics.

[8]  M. Thase,et al.  Neuropsychological dysfunction in antipsychotic-naive first-episode unipolar psychotic depression. , 2004, The American journal of psychiatry.

[9]  V. Mok,et al.  Cognitive impairment and functional outcome after stroke associated with small vessel disease , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[10]  Ian J. Deary,et al.  Polygenic Risk for Schizophrenia Is Associated with Cognitive Change Between Childhood and Old Age , 2013, Biological Psychiatry.

[11]  C. Depp,et al.  Neurocognitive impairment in middle-aged and older adults with bipolar disorder: comparison to schizophrenia and normal comparison subjects. , 2007, Journal of affective disorders.

[12]  T. Tatemichi,et al.  The Telephone Interview for Cognitive Status (TICS): Reliability and validity in a stroke sample , 1994 .

[13]  E. Demerath,et al.  Cardiorespiratory fitness and cognitive function in middle age , 2014, Neurology.

[14]  N. Wray,et al.  Research review: Polygenic methods and their application to psychiatric traits. , 2014, Journal of child psychology and psychiatry, and allied disciplines.

[15]  Carson C Chow,et al.  Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[16]  I. Deary,et al.  Molecular Genetic Evidence for Genetic Overlap between General Cognitive Ability and Risk for Schizophrenia: A Report from the Cognitive Genomics Consortium (COGENT) , 2013, Molecular Psychiatry.

[17]  Ian J. Deary,et al.  Cognitive change and the APOE epsilon 4 allele. , 2002 .

[18]  I. Deary,et al.  Cognition and diabetes: a lifespan perspective , 2008, The Lancet Neurology.

[19]  Anders D. Børglum,et al.  Genome-wide association study identifies five new schizophrenia loci , 2011, Nature Genetics.

[20]  Daniel R Weinberger,et al.  Impaired intellect and memory: a missing link between genetic risk and schizophrenia? , 2010, Archives of general psychiatry.

[21]  L. Petersen,et al.  The association between family history of mental disorders and general cognitive ability , 2014, Translational Psychiatry.

[22]  James R. Burke,et al.  Systematic Review: Factors Associated With Risk for and Possible Prevention of Cognitive Decline in Later Life , 2010, Annals of Internal Medicine.

[23]  Philip D. Harvey,et al.  The effects of child abuse and neglect on cognitive functioning in adulthood. , 2012, Journal of psychiatric research.

[24]  C. Stefanis,et al.  Common genetic variation and schizophrenia polygenic risk influence neurocognitive performance in young adulthood , 2015, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[25]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[26]  Esben Agerbo,et al.  Polygenic Risk Score, Parental Socioeconomic Status, Family History of Psychiatric Disorders, and the Risk for Schizophrenia: A Danish Population-Based Study and Meta-analysis. , 2015, JAMA psychiatry.

[27]  N. Wray,et al.  A mega-analysis of genome-wide association studies for major depressive disorder , 2013, Molecular Psychiatry.

[28]  I. Deary,et al.  Age-Dependent Pleiotropy Between General Cognitive Function and Major Psychiatric Disorders , 2016, Biological Psychiatry.

[29]  M. Folstein,et al.  Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs. , 1993, Archives of neurology.

[30]  S. Faraone,et al.  Neuropsychological risk indicators for schizophrenia: a review of family studies. , 1994, Schizophrenia bulletin.

[31]  Godfrey D Pearlson,et al.  Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. , 2013, The American journal of psychiatry.

[32]  F SullivanPatrick,et al.  Polygenic Risk Score, Parental Socioeconomic Status, Family History of Psychiatric Disorders, and the Risk for Schizophrenia , 2016 .

[33]  A Hofman,et al.  Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949) , 2015, Molecular Psychiatry.

[34]  I. Deary,et al.  Genetic foundations of human intelligence , 2009, Human Genetics.

[35]  R Plomin,et al.  Genetics and intelligence differences: five special findings , 2014, Molecular Psychiatry.

[36]  C. Reynolds,et al.  A Meta-analysis of Heritability of Cognitive Aging: Minding the “Missing Heritability” Gap , 2015, Neuropsychology Review.

[37]  J M Starr,et al.  APOE E4 status predicts age-related cognitive decline in the ninth decade: longitudinal follow-up of the Lothian Birth Cohort 1921 , 2012, Molecular Psychiatry.

[38]  B. Pierce,et al.  Genetic susceptibility to accelerated cognitive decline in the US Health and Retirement Study , 2014, Neurobiology of Aging.

[39]  L. Williams,et al.  Using multiple methods to characterize the phenotype of individuals with a family history of major depressive disorder. , 2013, Journal of affective disorders.

[40]  René S. Kahn,et al.  Cognitive deficits in relatives of patients with schizophrenia: a meta-analysis , 2004, Schizophrenia Research.

[41]  F. Dudbridge Power and Predictive Accuracy of Polygenic Risk Scores , 2013, PLoS genetics.

[42]  P. Visscher,et al.  A Better Coefficient of Determination for Genetic Profile Analysis , 2012, Genetic epidemiology.

[43]  Peter Kraft,et al.  Quality control and quality assurance in genotypic data for genome‐wide association studies , 2010, Genetic epidemiology.

[44]  P. Visscher,et al.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder , 2009, Nature.

[45]  D. Blacker,et al.  Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database , 2007, Nature Genetics.

[46]  Manuel A. R. Ferreira,et al.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 , 2011, Nature Genetics.

[47]  V. Pankratz,et al.  Validation of the Telephone Interview for Cognitive Status-modified in Subjects with Normal Cognition, Mild Cognitive Impairment, or Dementia , 2009, Neuroepidemiology.

[48]  J. Witte,et al.  The contribution of genetic variants to disease depends on the ruler , 2014, Nature Reviews Genetics.

[49]  L. Vissers,et al.  Genome sequencing identifies major causes of severe intellectual disability , 2014, Nature.

[50]  Robert Clarke,et al.  Utility of TICS‐M for the assessment of cognitive function in older adults , 2003, International journal of geriatric psychiatry.

[51]  T. Luck,et al.  Differential effects of enriched environment at work on cognitive decline in old age , 2015, Neurology.

[52]  Marshal F. Folstein,et al.  The telephone interview for cognitive status , 1988 .

[53]  Roel Bosker,et al.  Modeled Variance in Two-Level Models , 1994 .

[54]  Tomas W. Fitzgerald,et al.  Large-scale discovery of novel genetic causes of developmental disorders , 2014, Nature.

[55]  Nick C Fox,et al.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease , 2013, Nature Genetics.

[56]  B. Neale,et al.  Genetic analysis of schizophrenia and bipolar disorder reveals polygenicity but also suggests new directions for molecular interrogation , 2015, Current Opinion in Neurobiology.