4.4 Review

Could Polygenic Risk Scores Be Useful in Psychiatry? A Review

期刊

JAMA PSYCHIATRY
卷 78, 期 2, 页码 210-219

出版社

AMER MEDICAL ASSOC
DOI: 10.1001/jamapsychiatry.2020.3042

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资金

  1. National Health and Medical Research Council [1173790, 1078901, 108788, 1113400]
  2. Danish National Research Foundation Niels Bohr Professorship
  3. Queensland Health
  4. National Health and Medical Research Council of Australia [1173790] Funding Source: NHMRC

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Polygenic risk scores have the potential to aid in clinical decision-making in psychiatry, particularly in diagnosis, treatment, and prognosis. Combining PRS with other risk factors may improve prediction of outcomes, but larger samples are needed for further development and evaluation. The utility and ethical considerations of PRS in clinical psychiatry should be carefully assessed in light of realistic expectations.
This narrative review describes current and potential future use of polygenic risk scores in psychiatric clinical practice, with a focus on diagnosis, treatment, and prognosis in schizophrenia and depression. Importance Polygenic risk scores (PRS) are predictors of the genetic susceptibility to diseases, calculated for individuals as weighted counts of thousands of risk variants in which the risk variants and their weights have been identified in genome-wide association studies. Polygenic risk scores show promise in aiding clinical decision-making in many areas of medical practice. This review evaluates the potential use of PRS in psychiatry. Observations On their own, PRS will never be able to establish or definitively predict a diagnosis of common complex conditions (eg, mental health disorders), because genetic factors only contribute part of the risk and PRS will only ever capture part of the genetic contribution. Combining PRS with other risk factors has potential to improve outcome prediction and aid clinical decision-making (eg, determining follow-up options for individuals seeking help who are at clinical risk of future illness). Prognostication of adverse physical health outcomes or response to treatment in clinical populations are of great interest for psychiatric practice, but data from larger samples are needed to develop and evaluate PRS. Conclusions and Relevance Polygenic risk scores will contribute to risk assessment in clinical psychiatry as it evolves to combine information from molecular, clinical, and lifestyle metrics. The genome-wide genotype data needed to calculate PRS are inexpensive to generate and could become available to psychiatrists as a by-product of practices in other medical specialties. The utility of PRS in clinical psychiatry, as well as ethical issues associated with their use, should be evaluated in the context of realistic expectations of what PRS can and cannot deliver. Clinical psychiatry has lagged behind other fields of health care in its use of new technologies and routine clinical data for research. Now is the time to catch up.

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