Polygenic risk scores in psychiatry: Will they be useful for clinicians?

Major psychiatric disorders are heritable but they are genetically complex. This means that, with certain exceptions, single gene markers will not be helpful for diagnosis. However, we are learning more about the large number of gene variants that, in combination, are associated with risk for disorders such as schizophrenia, bipolar disorder, and other psychiatric conditions. The presence of those risk variants may now be combined into a polygenic risk score (PRS). Such a score provides a quantitative index of the genomic burden of risk variants in an individual, which relates to the likelihood that a person has a particular disorder. Currently, such scores are quite useful in research, and they are telling us much about the relationships between different disorders and other indices of brain function. In the future, as the datasets supporting the development of such scores become larger and more diverse and as methodological developments improve predictive capacity, we expect that PRS will have substantial clinical utility in the assessment of risk for disease, subtypes of disease, and even treatment response. Here, we provide an overview of PRS in general terms (including a glossary suitable for informed non-geneticists) and discuss the use of PRS in psychiatry, including their limitations and cautions for interpretation, as well as their applications now and in the future.

[1]  R. Watson,et al.  Polygenic Risk Scores , 2021, Current protocols.

[2]  N. Wray,et al.  GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores. , 2019, The American journal of psychiatry.

[3]  O. Andreassen,et al.  Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population , 2019, JAMA psychiatry.

[4]  Yang Ni,et al.  Polygenic prediction via Bayesian regression and continuous shrinkage priors , 2018, Nature Communications.

[5]  Matthew S. Lebo,et al.  Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood , 2019, Cell.

[6]  Alicia R. Martin,et al.  Clinical use of current polygenic risk scores may exacerbate health disparities , 2019, Nature Genetics.

[7]  Melissa Wake,et al.  Machine Learning SNP Based Prediction for Precision Medicine , 2019, Front. Genet..

[8]  Alicia R. Martin,et al.  Identification of common genetic risk variants for autism spectrum disorder , 2019, Nature Genetics.

[9]  A. Giangrande,et al.  Drosophila melanogaster as a Model to Study the Multiple Phenotypes, Related to Genome Stability of the Fragile-X Syndrome , 2019, Front. Genet..

[10]  Thao T. T. Nguyen,et al.  A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions , 2019, EBioMedicine.

[11]  Y. Wen,et al.  Integrative analysis of transcriptome‐wide association study and mRNA expression profiles identifies candidate genes associated with autism spectrum disorders , 2019, Autism research : official journal of the International Society for Autism Research.

[12]  A. Malhotra,et al.  Schizophrenia Polygenic Risk Score as a Predictor of Antipsychotic Efficacy in First-Episode Psychosis. , 2019, The American journal of psychiatry.

[13]  Kristen S Purrington,et al.  Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes , 2018, American Journal of Human Genetics.

[14]  R. Marioni,et al.  Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions , 2018, Nature Neuroscience.

[15]  Prashant S. Emani,et al.  Comprehensive functional genomic resource and integrative model for the human brain , 2018, Science.

[16]  David A. Ross,et al.  What Should a Psychiatrist Know About Genetics? Review and Recommendations From the Residency Education Committee of the International Society of Psychiatric Genetics. , 2018, The Journal of clinical psychiatry.

[17]  G. Gibson Going to the negative: genomics for optimized medical prescription , 2018, Nature Reviews Genetics.

[18]  N. Wray,et al.  Genome-wide association study of suicide attempt in psychiatric disorders identifies association with major depression polygenic risk scores , 2018, bioRxiv.

[19]  Tyrone D. Cannon,et al.  Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia , 2018, Schizophrenia bulletin.

[20]  D. Rujescu,et al.  Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders , 2018, The British Journal of Psychiatry.

[21]  F. McMahon,et al.  Rediscovering the value of families for psychiatric genetics research , 2018, Molecular Psychiatry.

[22]  Mary E. Haas,et al.  Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations , 2018, Nature Genetics.

[23]  C. Lewis,et al.  Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts , 2018, bioRxiv.

[24]  D. Curtis Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia , 2018, bioRxiv.

[25]  Sarah M. Hartz,et al.  Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders , 2018, Nature Neuroscience.

[26]  J. Smoller,et al.  Polygenic Risk for Depression Increases Risk of Ischemic Stroke: From the Stroke Genetics Network Study , 2018, Stroke.

[27]  Jakob Grove,et al.  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection , 2018, Nature Genetics.

[28]  David J. Porteous,et al.  Association Between Schizophrenia-Related Polygenic Liability and the Occurrence and Level of Mood-Incongruent Psychotic Symptoms in Bipolar Disorder , 2017, JAMA psychiatry.

[29]  Janice M. Fullerton,et al.  Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study , 2017, JAMA psychiatry.

[30]  D. Rujescu,et al.  A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains , 2017, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[31]  John P. Rice,et al.  Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes 1 2 Primary , 2018 .

[32]  Po-Ru Loh,et al.  Multi-ethnic polygenic risk scores improve risk prediction in diverse populations , 2016, bioRxiv.

[33]  G. Pergola,et al.  A Polygenic Risk Score of glutamatergic SNPs associated with schizophrenia predicts attentional behavior and related brain activity in healthy humans , 2017, European Neuropsychopharmacology.

[34]  Pak Chung Sham,et al.  Polygenic scores via penalized regression on summary statistics , 2016, bioRxiv.

[35]  Hon-Cheong So,et al.  Exploring the predictive power of polygenic scores derived from genome‐wide association studies: a study of 10 complex traits , 2017, Bioinform..

[36]  P. O’Reilly,et al.  An Examination of Polygenic Score Risk Prediction in Individuals With First-Episode Psychosis , 2017, Biological Psychiatry.

[37]  Alkes L. Price,et al.  Multi-ethnic polygenic risk scores improve risk prediction in diverse populations , 2016, bioRxiv.

[38]  J. Réthelyi,et al.  Multimarker analysis suggests the involvement of BDNF signaling and microRNA biosynthesis in suicidal behavior , 2016, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[39]  Sofia Khan,et al.  Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families , 2016, Breast Cancer Research and Treatment.

[40]  F. Dudbridge Polygenic Epidemiology , 2016, Genetic epidemiology.

[41]  Stephan Ripke,et al.  Genome‐wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness , 2016, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[42]  P. Visscher,et al.  Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores , 2015, bioRxiv.

[43]  Janice M. Fullerton,et al.  Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young At‐Risk Individuals , 2015, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

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

[45]  J. Austin,et al.  Conceptualizing Genetic Counseling as Psychotherapy in the Era of Genomic Medicine , 2014, Journal of Genetic Counseling.

[46]  Jianxin Shi,et al.  Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs , 2013, Nature Genetics.

[47]  Eric M. Morrow,et al.  Using Whole-Exome Sequencing to Identify Inherited Causes of Autism , 2013, Neuron.

[48]  J. Sebat,et al.  CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics , 2012, Cell.

[49]  S. Tishkoff,et al.  Haplotype variation and genotype imputation in African populations , 2011, Genetic epidemiology.

[50]  G. Kirov,et al.  Polygenic dissection of the bipolar phenotype , 2011, British Journal of Psychiatry.

[51]  Patrick F Sullivan,et al.  The Psychiatric GWAS Consortium: Big Science Comes to Psychiatry , 2010, Neuron.

[52]  Gary D Bader,et al.  Functional impact of global rare copy number variation in autism spectrum disorders , 2010, Nature.

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

[54]  Zhaohui S. Qin,et al.  A second generation human haplotype map of over 3.1 million SNPs , 2007, Nature.

[55]  Peter M Visscher,et al.  Prediction of individual genetic risk to disease from genome-wide association studies. , 2007, Genome research.

[56]  Sarah A. Mustillo,et al.  Prevalence and development of psychiatric disorders in childhood and adolescence. , 2003, Archives of general psychiatry.

[57]  Pardis C Sabeti,et al.  Linkage disequilibrium in the human genome , 2001, Nature.

[58]  M. Rutter,et al.  Developmental psychopathology: Concepts and challenges , 2000, Development and Psychopathology.

[59]  R. Fisher XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance. , 1919, Transactions of the Royal Society of Edinburgh.

[60]  L. Penrose,et al.  THE CORRELATION BETWEEN RELATIVES ON THE SUPPOSITION OF MENDELIAN INHERITANCE , 2022 .