[HTML][HTML] the Genetic intersection of Neurodevelopmental Disorders and shared Medical comorbidities–relations that translate from Bench to Bedside

JT Plummer, AJ Gordon, P Levitt - Frontiers in psychiatry, 2016 - frontiersin.org
JT Plummer, AJ Gordon, P Levitt
Frontiers in psychiatry, 2016frontiersin.org
Most psychiatric disorders are considered neurodevelopmental, and the associated genes
often are expressed in tissues outside of the brain. This suggests a biological relatedness
with medical co-occurrences that could have broad clinical implications for diagnosis and
patient management over a lifetime. A qualitative integration of public data from genetic
consortia of psychiatric disorders and medical comorbidities explores the question of
whether genetically associated psychiatric illnesses present with co-occurring disturbances …
Most psychiatric disorders are considered neurodevelopmental, and the associated genes often are expressed in tissues outside of the brain. This suggests a biological relatedness with medical co-occurrences that could have broad clinical implications for diagnosis and patient management over a lifetime. A qualitative integration of public data from genetic consortia of psychiatric disorders and medical comorbidities explores the question of whether genetically associated psychiatric illnesses present with co-occurring disturbances can be used to define specific mental–physical health relations. Novel patterns of gene-disorder relations appear with approximately one-third of conservatively defined, consortia-generated candidate risk genes with multiple psychiatric diagnoses. Moreover, nearly as many genes overlap with non-psychiatric phenotypes, including cardiovascular, renal, respiratory, and metabolic disturbances. While the landscape of genetic risk will change as study populations are expanded and biological confirmations accrue, the current relationships suggest that a mostly siloed perspective of gene relatedness to one categorical psychiatric diagnosis is not clinically useful. The future holds the promise that once candidates are fully validated, genome screening and mutation identification will bring more precision for predicting the risk for complex health conditions. Our view is that as genetic data are refined, continuing to decipher a shared pattern of genetic risk for brain and peripheral organ pathophysiology is not simply an academic exercise. Rather, determining relatedness will impact predictions of multifaceted health risks, patient treatment, and management.
Frontiers
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