Can genes predict outcome in CBT?

In a new study by our group, we showed for the first time an association of a polygenetic signal and outcome in CBT. The study was published in Molecular Psychiatry and included 894 individuals with depression who underwent 12 weeks of internet based CBT. Single-nucleotide polymorphism genotyping arrays were used to calculate the genomic risk scores based on large genetic studies of six phenotypes: major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, intelligence, and educational attainment. The relationships between the six genetic risk scores and cognitive behavior therapy outcome was analyzed. Our analyses yielded one significant interaction effect (B = 0.09, p < 0.001): the autism spectrum disorder genetic risk score correlated with Montgomery Åsberg Depression Rating Scale-Self Rated changes during treatment, and the higher the autism spectrum disorder genetic load, the less the depressive symptoms decreased over time.  Our preliminary results indicated, as expected, that the genomics of the response of patients with major depression to cognitive behavior therapy were complex and that future efforts should aim to maximize sample size and limit subject heterogeneity in order to gain a better understanding of the use of genetic risk factors to predict treatment outcome.

For full text: https://www.nature.com/articles/s41380-018-0289-9

Andersson E, Crowley JJ, Lindefors N, Ljótsson B, Hedman-Lagerlöf E, Boberg J, El Alaoui S, Karlsson R, Lu Y, Mattheisen M, Kähler AK, Svanborg C, Mataix-Cols D, Mattsson S, Forsell E, Kaldo V, Schalling M, Lavebratt C, Sullivan PF, Rück C. Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report. Molecular Psychiatry. 2018

 

 

 

Funding from the Swedish Research Council

Good news! The Swedish Research Council (Vetenskapsrådet) has awarded us 2.4 million SEK over the next 3 years for our PRiMED-study (Predicting Response to CBT in Mental Disorders using multimodal data and machine learning). Bild1

Anmäl dig till vår genetikstudie

Nu är vår studie av OCD (tvångssyndrom), BDD (dysmorfofobi), samlarsyndrom och tics/Tourettes öppen för att du kan anmäla dig själv oavsett om du har tidigare diagnos eller inte. Du anmäler dig på ocdgenetik.se och svarar på frågor och får sedan ett DNA-salivkit hemskickat. Mer info på sidan.

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Data Science for Mental Health Transfer Learning Roundtable

This week RISE/KTH arranged a roundtable on AI in mental heath research with participants from KI, KTH, Stockholm University and KCL, UCL and Anna Freud Institute in London. We are starting in this exiting field now.

 

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Doctor Evelyn Andersson Hagen!

Congrats Evelyn! She is the 4th PhD student to graduate from our lab and she defended her thesis very well the past Friday. Big thank you to everyone involved!

 

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Evelyn in defense mode.
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From left: Co-supervisor Erik Hedman-Lagerlöf, examination board member Lisa Thorell, main supervisor Christian Rück, Evelyn, co-supervisor Martin Schalling and Cattis Lavebratt, opponent Jönsson, examination board member Lars Westberg and session chair Viktor Kaldo.
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Party!
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Winning shoes!
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Opponent Erik Jönsson, Oslo University.
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ICBT FTW!

Evelyn nailed it!

Evelyn Andersson Hagen today nailed her thesis at the KI Library. This is symbol of her thesis now being out in the public. She will defend her thesis June 1st. Everyone is welcome! Details here.

Big thanks to all the participants of the studies, the involved clinicians of Internetpsykiatrienheten and to the co-supervisors Nils Lindefors, Martin Schalling, Catharina Lavebratt and Erik Hedman-Lagerlöf.

The thesis is here (pdf).

 

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