BACKGROUND: Polygenic risk scores (PRS) have emerged as a promising tool for predicting the risk of developing a variety of illnesses, including psychiatric disorders. PRS are calculated by analyzing the genetic variants across the genome to assess an individual’s risk for developing a disorder. Family history (FHx) of psychiatric disorders has long been recognized as a valuable tool in assessing an individual’s risk in lieu of a genetic blood-based biomarker, like PRS. However, the accuracy of self-reported family history remains limited as a consequence of incomplete or unreliable information collected during a clinical interview. Existing risk factors for developing psychiatric disorders such as FHx tend to be non-specific in their prediction of outcome. Few research studies have evaluated the possibility of using PRS as a complement to FHx across psychosis spectrum disorders. The present study seeks to examine the relationship between the current standard indirect measure of inherited susceptibility being used, FHx, and an individual’s PRS to more directly predict risk of familial susceptibility in those diagnosed with schizophrenia (SZ) by comparing SZ probands based on their FHx of psychotic disorders diagnosis. METHODS: 396 SZ Probands with FHx data were identified. Data on polygenic risk scores for SZ (PRSSCZ) and FHx were obtained from the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium (B-SNIP 1). Genetic susceptibility was identified using PRSSCZ. FHx was established from detailed family interviews. SZ probands with only an affected first-degree relative (n= 42) or only an affected second-degree relative (n= 55) with history of a psychotic disorder diagnosis were included in the analyses. SZ probands without any affected relative (n=179) were used as a comparison group. Demographic information for all participant groups were compared using Chi-square for categorical variables, and ANOVA for continuous variables. ANCOVA was used to identify differences among relative proximity and PRSSCZ while accounting for covariates (age, sex, race). Multiple comparisons were adjusted for using Bonferroni correction. Healthy controls were added as a reference only. The significance level was set at p < 0.05. RESULTS: In SZ probands, there was a significant difference between those with an affected first-degree relative with non-affective psychosis and those without any affected relatives (p< 0.05). No significant difference was observed between those with an affected second-degree relative with non-affective psychosis and those without any affected relatives. Having only an affected first-degree relative with non-affective psychosis carries significantly more risk than having only an affected second-degree relative with non-affective psychosis (p< 0.05). CONCLUSIONS: These findings a) support the validity of taking careful family history of non-affective psychosis diagnosis when evaluating individuals with a psychotic disorder, b) suggest that PRSSCZ may be a useful complement to taking family history, and c) relative proximity is important in risk for SZ. The limitations of this study include lack of direct interviews of affected first- and second-degree relatives, and the lack of complete pedigree information that might allow for calculation of familial load.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/48226 |
| Date | 26 February 2024 |
| Creators | Hamada, Kareem |
| Contributors | Offner, Gwynneth, Keshavan, Matcheri |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0022 seconds