Communications BiologyGeneticsPeer-reviewed journal article
Applying polygenic risk scoring for psychiatric disorders to a large family with Bipolar Disorder and Major Depressive Disorder
Simone de JongiD, Mateus Jose Abdalla DiniziD, Andiara Saloma, Ary GadelhaiD, Marcos Leite SantoroiD, Vanessa OtaiD, Cristiano de Souza NotoiD, Naomi R. WrayiD, Stephan RipkeiD, Manuel MattheiseniD, Maciej TrzaskowskiiD, Enda M. ByrneiD, Abdel AbdellaouiiD, Mark J. AdamsiD, Esben AgerboiD, Tracy AiriD, Till F. M. AndlaueriD, Silviu‐Alin BacanuiD, Marie Bækvad‐HanseniD, Aartjan T.F. BeekmaniD, Tim B. BigdeliiD, Elisabeth B. BinderiD, Douglas BlackwoodiD, Julien BryoisiD, Henriette N. ButtenschøniD, , Jodie N. PainteriD
Abstract
We aim to investigate the application of polygenic risk scoring within a family context. Polygenic risk profiles could aid in unraveling the role that common variation confers on disease risk within a pedigree that would have traditionally been viewed through the prism of monogenic inheritance only. We illustrate our discussion by analyzing polygenic risk scores for schizophrenia, major depressive disorder and bipolar disorder in a large pedigree (n~260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. We apply polygenic risk scores to study patterns of assortative mating and anticipation, whereby it appears increased polygenic risk for psychiatric disorders is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations in the family. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity of a disease increases over the generations of a family. Joint analyses of both rare and common variation may be the most powerful way to understand the familial genetics of mood and psychiatric disorders.
- organism: human
- assay: GWAS summary statistics
- research focus: polygenic risk
- approach: statistical model
- Citations
- 23
- FWCI
- 1.99
- Field percentile
- top 13%
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