Dataset Information

Analysis of genome-wide significant bipolar disorder genes in borderline personality disorder.

ABSTRACT: The objective of this study was to investigate the hypothesis that borderline personality disorder (BPD) and bipolar disorder (BD) share genetic variation through analysis of known genetic risk factors for BD in a well-characterized BPD case-control cohort. Genotyping of five genome-wide significant variants identified for BD (in CACNA1C, ANK3, and ODZ4) was performed in 673 BPD cases and 748 controls. A nominally significant association with BPD was found for rs1006737 in CACNA1C (P=0.0498). Sex-specific analysis showed that this signal was present only in women. This is the first report of an association between a BD risk gene and BPD where selection was not based on a priori hypotheses about its function, but on an unbiased hypothesis-free screening of the genome. Genome-wide association data of large samples of BPD are warranted and will eventually identify new risk genes and the overlap between BPD and BD if it exists.

SUBMITTER: Witt SH

PROVIDER: S-EPMC4219535 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Analysis of genome-wide significant bipolar disorder genes in borderline personality disorder.

Witt Stephanie H SH Kleindienst Nikolaus N Frank Josef J Treutlein Jens J Mühleisen Thomas T Degenhardt Franziska F Jungkunz Martin M Krumm Bertram B Cichon Sven S Tadic André A Dahmen Norbert N Schwarze Cornelia E CE Schott Björn B Dietl Lydia L Nöthen Markus M MM Mobascher Arian A Lieb Klaus K Roepke Stefan S Rujescu Dan D Rietschel Marcella M Schmahl Christian C Bohus Martin M

Psychiatric genetics 20141201 6

The objective of this study was to investigate the hypothesis that borderline personality disorder (BPD) and bipolar disorder (BD) share genetic variation through analysis of known genetic risk factors for BD in a well-characterized BPD case-control cohort. Genotyping of five genome-wide significant variants identified for BD (in CACNA1C, ANK3, and ODZ4) was performed in 673 BPD cases and 748 controls. A nominally significant association with BPD was found for rs1006737 in CACNA1C (P=0.0498). Se ...[more]

PMID: 25304227

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Project description:Background: Remote monitoring and digital phenotyping harbor potential to aid clinical diagnosis, predict episode course and recognize early signs of mental health crises. Digital communication metrics, such as phone call and short message service (SMS) use may represent novel biomarkers of mood and diagnosis in Bipolar Disorder (BD) and Borderline Personality Disorder (BPD). Materials and Methods: BD (n = 17), BPD (n = 17) and Healthy Control (HC, n = 21) participants used a smartphone application which monitored phone calls and SMS messaging, alongside self-reported mood. Linear mixed-effects regression models were used to assess the association between digital communications and mood symptoms, mood state, trait-impulsivity, diagnosis and the interaction effect between mood and diagnosis. Results: Transdiagnostically, self-rated manic symptoms and manic state were positively associated with total and outgoing call frequency and cumulative total, incoming and outgoing call duration. Manic symptoms were also associated with total and outgoing SMS frequency. Transdiagnostic depressive symptoms were associated with increased mean incoming call duration. For the different diagnostic groups, BD was associated with increased total call frequency and BPD with increased total and outgoing SMS frequency and length compared to HC. Depression in BD, but not BPD, was associated with decreased total and outgoing call frequency, mean total and outgoing call duration and total and outgoing SMS frequency. Finally, trait-impulsivity was positively associated with total call frequency, total and outgoing SMS frequency and cumulative total and outgoing SMS length. Conclusion: These results identify a general increase in phone call and SMS communications associated with self-reported manic symptoms and a diagnosis-moderated decrease in communications associated with depression in BD, but not BPD, participants. These findings may inform the development of clinical tools to aid diagnosis and remote symptom monitoring, as well as informing understanding of differential psychopathologies in BD and BPD.

Dataset Information

Analysis of genome-wide significant bipolar disorder genes in borderline personality disorder.

Publications

Analysis of genome-wide significant bipolar disorder genes in borderline personality disorder.

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