Oleksandr Frei

• Drange, Ole Kristian; Smeland, Olav Bjerkehagen; Shadrin, Alexey A.; Finseth, Per Ivar; Witoelar, Aree; Frei, Oleksandr; Psychiatric Genomic Consortium, Bipolar Disorder Working Group; Wang, Yunpeng; Hassani, Sahar; Djurovic, Srdjan; Dale, Anders; Andreassen, Ole Andreas; Bøen, Erlend; Elvsåshagen, Torbjørn; Agartz, Ingrid; Melle, Ingrid; Morken, Gunnar; Stordal, Eystein; Vaaler, Arne; Ødegaard, Ketil Joachim; Stahl, Eli A.; Breen, Gerome; Forstner, Andreas J; McQuillin, Andrew; Ripke, Stephan; Trubetskoy, Vassily; Mattheisen, Manuel; Coleman, Jonathan R I; Gaspar, Héléna A; de Leeuw, Christiaan A.; Steinberg, Stacy; Pavlides, Jennifer M Whitehead; Trzaskowski, MacIej; Pers, Tune H; Holmans, Peter A.; Abbott, Liam; Agerbo, Esben; Akil, Huda; Albani, Diego; Alliey-Rodriguez, Ney; Als, Thomas D.; Anjorin, Adebayo; Antilla, Verneri; Awasthi, Swapnil; Badner, Judith A.; Bækvad-Hansen, Marie; Barchas, Jack D.; Bass, Nicholas; Bauer, Michael; Belliveau, Richard; Bergen, Sarah E & Pedersen, Carsten Bøcker (2019). Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers in Neuroscience.  ISSN 1662-4548.  13 . doi: 10.3389/fnins.2019.00220 Fulltekst i vitenarkiv. Vis sammendrag

  Background: Alzheimer’s disease (AD) and bipolar disorder (BIP) are complex traits influenced by numerous common genetic variants, most of which remain to be detected. Clinical and epidemiological evidence suggest that AD and BIP are related. However, it is not established if this relation is of genetic origin. Here, we applied statistical methods based on the conditional false discovery rate (FDR) framework to detect genetic overlap between AD and BIP and utilized this overlap to increase the power to identify common genetic variants associated with either or both traits. Methods: We obtained genome wide association studies data from the International Genomics of Alzheimer’s Project part 1 (17,008 AD cases and 37,154 controls) and the Psychiatric Genetic Consortium Bipolar Disorder Working Group (20,352 BIP cases and 31,358 controls). We used conditional QQ-plots to assess overlap in common genetic variants between AD and BIP. We exploited the genetic overlap to re-rank test-statistics for AD and BIP and improve detection of genetic variants using the conditional FDR framework. Results: Conditional QQ-plots demonstrated a polygenic overlap between AD and BIP. Using conditional FDR, we identified one novel genomic locus associated with AD, and nine novel loci associated with BIP. Further, we identified two novel loci jointly associated with AD and BIP implicating the MARK2 gene (lead SNP rs10792421, conjunctional FDR = 0.030, same direction of effect) and the VAC14 gene (lead SNP rs11649476, conjunctional FDR = 0.022, opposite direction of effect). Conclusion: We found polygenic overlap between AD and BIP and identified novel loci for each trait and two jointly associated loci. Further studies should examine if the shared loci implicating the MARK2 and VAC14 genes could explain parts of the shared and distinct features of AD and BIP.

• Frei, Oleksandr; Holland, Dominic; Smeland, Olav Bjerkehagen; Shadrin, Alexey A.; Fan, Chun Chieh; Mæland, Steffen; O`Connell, Kevin; Wang, Yunpeng; Djurovic, Srdjan; Thompson, Wesley Kurt; Andreassen, Ole Andreas & Dale, Anders (2019). Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation. Nature Communications.  ISSN 2041-1723.  10(1) . doi: 10.1038/s41467-019-10310-0
• Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette; Agartz, Ingrid; Alnæs, Dag; Barch, Deanna M.; Baur-Streubel, Ramona; Bertolino, Alessandro; Bettella, Francesco; Beyer, Mona K.; Bøen, Erlend; Borgwardt, Stefan; Brandt, Christine Lycke; Buitelaar, Jan; Celius, Elisabeth Gulowsen; Cervenka, Simon; Conzelmann, Annette; Còrdova Palomera, Aldo; Dale, Anders; de Quervain, Dominique J.F.; di Carlo, Pasquale; Djurovic, Srdjan; Dørum, Erlend Solberg; Eisenacher, Sarah; Elvsåshagen, Torbjørn; Espeseth, Thomas; Fatouros-Bergman, Helena; Flyckt, Lena; Franke, Barbara; Frei, Oleksandr; Haatveit, Beathe; Håberg, Asta; Harbo, Hanne Flinstad; Hartman, Catharina A; Heslenfeld, Dirk J; Hoekstra, Pieter J; Høgestøl, Einar August; Jernigan, Terry L.; Jonassen, Rune; Jönsson, Erik Gunnar; Kirsch, Peter; Kłoszewska, Iwona; Kolskår, Knut-Kristian; Landrø, Nils Inge; Le Hellard, Stephanie; Lesch, Klaus-Peter; Lovestone, Simon; Lundervold, Arvid; Lundervold, Astri; Maglanoc, Luigi Angelo; Malt, Ulrik Fredrik; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Moberget, Torgeir; Norbom, Linn Christin Bonaventure; Nordvik, Jan Egil; Nyberg, Lars; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pauli, Paul; Pergola, Giulio; Persson, Karin Ester Torun; Richard, Geneviève; Rokicki, Jaroslav; Sanders, Anne-Marthe; Selbæk, Geir; Shadrin, Alexey A.; Smeland, Olav Bjerkehagen; Soininen, Hilkka; Sowa, Piotr; Steen, Vidar Martin; Tsolaki, Magda; Ulrichsen, Kristine Moe; Vellas, Bruno; Wang, Lei; Westman, Eric; Ziegler, Georg C.; Zink, Mathias; Andreassen, Ole Andreas & Westlye, Lars Tjelta (2019). Common brain disorders are associated with heritable patterns of apparent aging of the brain. Nature Neuroscience.  ISSN 1097-6256.  22(10), s 1617- 1623 . doi: 10.1038/s41593-019-0471-7
• Lam, Max; Awasthi, Swapnil; Watson, Hunna J.; Goldstein, Jackie; Panagiotaropoulou, Georgia; Trubetskoy, Vassily; Karlsson, Robert; Frei, Oleksandr; Fan, Chun-Chieh; De Witte, Ward; Mota, Nina R.; Mullins, Niamh; Brügger, Kim; Lee, S. Hong; Wray, Naomi R.; Skarabis, Nora; Huang, Hailiang; Neale, Benjamin; Daly, Mark J.; Mattheisen, Manuel; Walters, Raymond & Ripke, Stephan (2019). RICOPILI: Rapid Imputation for COnsortias PIpeLIne. Bioinformatics.  ISSN 1367-4803.  36(3), s 930- 933 . doi: https://doi.org/10.1093/bioinformatics/btz633 Vis sammendrag

  Genome-wide association study (GWAS) analyses, at sufficient sample sizes and power, have successfully revealed biological insights for several complex traits. RICOPILI, an open-sourced Perl-based pipeline was developed to address the challenges of rapidly processing large-scale multi-cohort GWAS studies including quality control (QC), imputation and downstream analyses. The pipeline is computationally efficient with portability to a wide range of high-performance computing environments. RICOPILI was created as the Psychiatric Genomics Consortium pipeline for GWAS and adopted by other users. The pipeline features (i) technical and genomic QC in case-control and trio cohorts, (ii) genome-wide phasing and imputation, (iv) association analysis, (v) meta-analysis, (vi) polygenic risk scoring and (vii) replication analysis. Notably, a major differentiator from other GWAS pipelines, RICOPILI leverages on automated parallelization and cluster job management approaches for rapid production of imputed genome-wide data. A comprehensive meta-analysis of simulated GWAS data has been incorporated demonstrating each step of the pipeline. This includes all the associated visualization plots, to allow ease of data interpretation and manuscript preparation. Simulated GWAS datasets are also packaged with the pipeline for user training tutorials and developer work

• O`Connell, Kevin; Shadrin, Alexey A.; Bahrami, Shahram; Smeland, Olav Bjerkehagen; Bettella, Francesco; Frei, Oleksandr; Krull, Florian; Askeland, Ragna Bugge; Walters, Bragi; Davíðsdóttir, Katrín; Haraldsdóttir, Gyða; Guðmundsson, Ólafur; Stefánsson, Hreinn; Fan, Chun C.; Steen, Nils Eiel; Reichborn-Kjennerud, Ted; Dale, Anders M.; Stefánsson, Kári; Djurovic, Srdjan & Andreassen, Ole Andreas (2019). Identification of genetic overlap and novel risk loci for attention-deficit/hyperactivity disorder and bipolar disorder. Molecular Psychiatry.  ISSN 1359-4184.  s 1- 11 . doi: 10.1038/s41380-019-0613-z Vis sammendrag

  Differential diagnosis between childhood onset attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) remains a challenge, mainly due to overlapping symptoms and high rates of comorbidity. Despite this, genetic correlation reported for these disorders is low and non-significant. Here we aimed to better characterize the genetic architecture of these disorders utilizing recent large genome-wide association studies (GWAS). We analyzed independent GWAS summary statistics for ADHD (19,099 cases and 34,194 controls) and BD (20,352 cases and 31,358 controls) applying the conditional/conjunctional false discovery rate (condFDR/conjFDR) statistical framework that increases the power to detect novel phenotype-specific and shared loci by leveraging the combined power of two GWAS. We observed cross-trait polygenic enrichment for ADHD conditioned on associations with BD, and vice versa. Leveraging this enrichment, we identified 19 novel ADHD risk loci and 40 novel BD risk loci at condFDR <0.05. Further, we identified five loci jointly associated with ADHD and BD (conjFDR < 0.05). Interestingly, these five loci show concordant directions of effect for ADHD and BD. These results highlight a shared underlying genetic risk for ADHD and BD which may help to explain the high comorbidity rates and difficulties in differentiating between ADHD and BD in the clinic. Improving our understanding of the underlying genetic architecture of these disorders may aid in the development of novel stratification tools to help reduce these diagnostic difficulties.

• O`Connell, Kevin; Shadrin, Alexey A.; Smeland, Olav Bjerkehagen; Bahrami, Shahram; Frei, Oleksandr; Bettella, Francesco; Krull, Florian; Fan, Chun C.; Askeland, Ragna Bugge; Knudsen, Gun Peggy Strømstad; Halmøy, Anne; Steen, Nils Eiel; Ueland, Torill; Walters, G. Bragi; Davíðsdóttir, Katrín; Haraldsdóttir, Gyda S.; Guðmundsson, Ólafur; Stefansson, Hreinn; Reichborn-Kjennerud, Ted; Haavik, Jan; Dale, Anders M.; Stefánsson, Kári; Djurovic, Srdjan & Andreassen, Ole Andreas (2019). Identification of genetic loci shared between ADHD, intelligence and educational attainment. Biological Psychiatry.  ISSN 0006-3223. . doi: 10.1016/j.biopsych.2019.11.015
• Smeland, Olav Bjerkehagen; Bahrami, Shahram; Frei, Oleksandr; Shadrin, Alexey A.; O`Connell, Kevin; Savage, Jeanne E.; Watanabe, Kyoko; Krull, Florian; Bettella, Francesco; Steen, Nils Eiel; Ueland, Torill; Posthuma, Danielle; Djurovic, Srdjan; Dale, Anders & Andreassen, Ole Andreas (2019). Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence. Molecular Psychiatry.  ISSN 1359-4184.  s 1- 10 . doi: 10.1038/s41380-018-0332-x Fulltekst i vitenarkiv.
• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Fan, Chun-Chieh; Shadrin, Alexey A.; Dale, Anders & Andreassen, Ole Andreas (2019). The emerging pattern of shared polygenic architecture of psychiatric disorders, conceptual and methodological challenges. Psychiatric Genetics.  ISSN 0955-8829.  29(5), s 152- 159 . doi: 10.1097/YPG.0000000000000234 Vis sammendrag

  Genome-wide association studies have transformed psychiatric genetics and provided novel insights into the genetic etiology of psychiatric disorders. Two major discoveries have emerged; the disorders are polygenic, with a large number of common variants each with a small effect and many genetic variants influence more than one phenotype, suggesting shared genetic etiology. These concepts have the potential to revolutionize the current classification system with diagnostic categories and facilitate development of better treatments. However, to reach clinical impact, we need larger samples and better analytical tools, as most polygenic factors remain undetected. We here present statistical approaches designed to improve the yield of existing genome-wide association studies for polygenic phenotypes. We review how these tools have informed the current knowledge on the genetic architecture of psychiatric disorders, focusing on schizophrenia, bipolar disorder and major depression, and overlap with psychological and cognitive traits. We discuss application of statistical tools for stratification and prediction.

• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Shadrin, Alexey A.; O`Connell, Kevin; Fan, Chun Chieh; Bahrami, Shahram; Holland, Dominic; Djurovic, Srdjan; Thompson, Wesley Kurt; Dale, Anders & Andreassen, Ole Andreas (2019). Discovery of shared genomic loci using the conditional false discovery rate approach. Human Genetics.  ISSN 0340-6717.  s 1- 10 . doi: 10.1007/s00439-019-02060-2 Fulltekst i vitenarkiv.
• van der Meer, Dennis; Sønderby, Ida Elken; Kaufmann, Tobias; Walters, G. Bragi; Abdellaoui, Abdel; Ames, David; Amunts, Katrin; Andersson, Micael; Armstrong, Nicola J.; Bernard, Manon; Blackburn, Nicholas B.; Blangero, John; Boomsma, Dorret I.; Brodaty, Henry; Brouwer, Rachel M.; Bülow, Robin; Cahn, Wiepke; Calhoun, Vince D.; Caspers, Svenja; Cavalleri, Gianpiero L.; Ching, Christopher R.K.; Cichon, Sven; Ciufolini, Simone; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E.; Dalvie, Shareefa; Dazzan, Paola; de Geus, Eco J.C.; de Zubicaray, Greig I.; de Zwarte, Sonja M.C.; Delanty, Norman; den Braber, Anouk; Desrivieres, Sylvane; di Forti, Marta; Doherty, Joanne L.; Donohoe, Gary; Ehrlich, Stefan; Eising, Else; Espeseth, Thomas; Fisher, Simon E.; Fladby, Tormod; Frei, Oleksandr; Frouin, Vincent; Fukunaga, Masaki; Gareau, Thomas; Glahn, David C.; Grabe, Hans J.; Groenewold, Nynke A.; Gustafsson, Omar; Haavik, Jan; Håberg, Asta; Hashimoto, Ryota; Hehir-Kwa, Jayne Y.; Hibar, Derrek; Hillegers, Manon H.J.; Hoffmann, Per; Holleran, Laurena; Hottenga, Jouke-Jan; Hulshoff Pol, Hilleke E.; Ikeda, Masashi; Jacquemont, Sébastien; Jahanshad, Neda; Jockwitz, Christiane; Johansson, Stefan; Jönsson, Erik Gunnar; Kikuchi, Masataka; Knowles, Emma E.M.; Kwok, John B.; Le Hellard, Stephanie; Linden, David E.J.; Liu, Jingyu; Lundervold, Arvid; Lundervold, Astri; Martin, Nicholas G.; Mather, Karen A.; Mathias, Samuel R.; McMahon, Katie L.; McRae, Allan F.; Medland, Sarah E.; Moberget, Torgeir; Moreau, Clara; Morris, Derek W.; Mühleisen, Thomas W.; Murray, Robin M.; Nordvik, Jan Egil; Nyberg, Lars; Olde Loohuis, Loes M.; Ophoff, Roel A.; Owen, Michael J.; Paus, Tomáš; Pausova, Zdenka; Peralta, Juan M.; Pike, Bruce; Prieto, Carlos; Quinlan, Erin Burke; Reinbold, Céline Sonja; Reis Marques, Tiago; Rucker, James J.H.; Sachdev, Perminder S.; Sando, Sigrid Botne; Schofield, Peter R.; Schork, Andrew J.; Schumann, Gunter; Shin, Jean; Shumskaya, Elena; Silva, Ana I.; Sisodiya, Sanjay M.; Steen, Vidar Martin; Stein, Dan J.; Strike, Lachlan T.; Tamnes, Christian Krog; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Uhlmann, Anne; Ülfarsson, Magnús Ö; van 't Ent, Dennis; van den Bree, Marianne B.M.; Vassos, Evangelos; Wen, Wei; Wittfeld, Katharina; Wright, Margaret J.; Zayats, Tetyana; Dale, Anders; Djurovic, Srdjan; Agartz, Ingrid; Westlye, Lars Tjelta; Stefansson, Hreinn; Stefánsson, Kári; Thompson, Paul M. & Andreassen, Ole Andreas (2019). Association of copy number variation of the 15q11.2 BP1-BP2 region with cortical and subcortical morphology and cognition. JAMA psychiatry.  ISSN 2168-6238. . doi: 10.1001/jamapsychiatry.2019.3779 Vis sammendrag

  IMPORTANCE: Recurrent microdeletions and duplications in the genomic region 15q11.2 between breakpoints 1 (BP1) and 2 (BP2) are associated with neurodevelopmental disorders. These structural variants are present in 0.5% to 1.0% of the population, making 15q11.2 BP1-BP2 the site of the most prevalent known pathogenic copy number variation (CNV). It is unknown to what extent this CNV influences brain structure and affects cognitive abilities. OBJECTIVE: To determine the association of the 15q11.2 BP1-BP2 deletion and duplication CNVs with cortical and subcortical brain morphology and cognitive task performance. DESIGN, SETTING, AND PARTICIPANTS: In this genetic association study, T1-weighted brain magnetic resonance imaging were combined with genetic data from the ENIGMA-CNV consortium and the UK Biobank, with a replication cohort from Iceland. In total, 203 deletion carriers, 45 247 noncarriers, and 306 duplication carriers were included. Data were collected from August 2015 to April 2019, and data were analyzed from September 2018 to September 2019. MAIN OUTCOMES AND MEASURES: The associations of the CNV with global and regional measures of surface area and cortical thickness as well as subcortical volumes were investigated, correcting for age, age2 , sex, scanner, and intracranial volume. Additionally, measures of cognitive ability were analyzed in the full UK Biobank cohort. RESULTS: Of 45 756 included individuals, the mean (SD) age was 55.8 (18.3) years, and 23 754 (51.9%) were female. Compared with noncarriers, deletion carriers had a lower surface area (Cohen d = −0.41; SE, 0.08; P = 4.9 × 10−8), thicker cortex (Cohen d = 0.36; SE, 0.07; P = 1.3 × 10−7), and a smaller nucleus accumbens (Cohen d = −0.27; SE, 0.07; P = 7.3 × 10−5). There was also a significant negative dose response on cortical thickness (β = −0.24; SE, 0.05; P = 6.8 × 10−7). Regional cortical analyses showed a localization of the effects to the frontal, cingulate, and parietal lobes. Further, cognitive ability was lower for deletion carriers compared with noncarriers on 5 of 7 tasks. CONCLUSIONS AND RELEVANCE: These findings, from the largest CNV neuroimaging study to date, provide evidence that 15q11.2 BP1-BP2 structural variation is associated with brain morphology and cognition, with deletion carriers being particularly affected. The pattern of results fits with known molecular functions of genes in the 15q11.2 BP1-BP2 region and suggests involvement of these genes in neuronal plasticity. These neurobiological effects likely contribute to the association of this CNV with neurodevelopmental disorders

• Watanabe, Kyoko; Stringer, Sven; Frei, Oleksandr; Mirkov, Maša Umićević; de Leeuw, Christiaan; Polderman, Tinca J.C.; van der Sluis, Sophie; Andreassen, Ole Andreas; Neale, Benjamin M. & Posthuma, Daniëlle (2019). A global overview of pleiotropy and genetic architecture in complex traits. Nature Genetics.  ISSN 1061-4036.  51(9), s 1339- 1348 . doi: 10.1038/s41588-019-0481-0
• Fan, Chun Chieh; Smeland, Olav Bjerkehagen; Schork, Andrew J.; Chen, Chi-Hua; Holland, Dominic; Lo, Min-Tzu; Sundar, Vijay S.; Frei, Oleksandr; Jernigan, Terry L.; Andreassen, Ole Andreas & Dale, Anders (2018). Beyond heritability: Improving discoverability in imaging genetics. Human Molecular Genetics.  ISSN 0964-6906.  27(1), s R22- R28 . doi: 10.1093/hmg/ddy082
• Srinivasan, Saurabh; Bettella, Francesco; Frei, Oleksandr; Hill, W. David; Wang, Yunpeng; Witoelar, Aree; Schork, Andrew J.; Thompson, Wesley Kurt; Davies, Gail; Desikan, Rahul S.; Deary, Ian J.; Melle, Ingrid; Ueland, Torill; Dale, Anders; Djurovic, Srdjan; Smeland, Olav Bjerkehagen & Andreassen, Ole Andreas (2018). Enrichment of genetic markers of recent human evolution in educational and cognitive traits. Scientific Reports.  ISSN 2045-2322.  8:12585, s 1- 9 . doi: 10.1038/s41598-018-30387-9 Fulltekst i vitenarkiv.
• van der Meer, Dennis; Rokicki, Jaroslav; Kaufmann, Tobias; Còrdova Palomera, Aldo; Moberget, Torgeir; Alnæs, Dag; Bettella, Francesco; Frei, Oleksandr; Doan, Nhat Trung; Sønderby, Ida Elken; Smeland, Olav Bjerkehagen; Agartz, Ingrid; Bertolino, Alessandro; Bralten, Janita; Brandt, Christine Lycke; Buitelaar, Jan K.; Djurovic, Srdjan; van Donkelaar, Marjolein; Dørum, Erlend Solberg; Espeseth, Thomas; Faraone, Stephen V.; Fernandéz, Guillén; Fisher, Simon E.; Franke, Barbara; Haatveit, Beathe Christin; Hartman, Catharina A.; Hoekstra, Pieter J.; Håberg, Asta; Jönsson, Erik Gunnar; Kolskår, Knut-Kristian; Le Hellard, Stephanie; Lund, Martina Jonette; Lundervold, Astri; Lundervold, Arvid; Melle, Ingrid; Monereo Sanchez, Jennifer; Norbom, Linn Christin Bonaventure; Nordvik, Jan Egil; Nyberg, Lars; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pergola, Giulio; de Quervain, Dominique J.F.; Richard, Geneviéve´; Sanders, Anne-Marthe; Selvaggi, Pierluigi; Shumskaya, Elena; Steen, Vidar Martin; Tønnesen, Siren; Ulrichsen, Kristine Moe; Zwiers, Marcel P.; Andreassen, Ole Andreas & Westlye, Lars Tjelta (2018). Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Molecular Psychiatry.  ISSN 1359-4184.  s 1- 13 . doi: 10.1038/s41380-018-0262-7 Fulltekst i vitenarkiv.
• Zuber, Verena; Jönsson, Erik Gunnar; Frei, Oleksandr; Witoelar, Aree; Thompson, Wesley Kurt; Schork, Andrew J.; Bettella, Francesco; Wang, Yunpeng; Djurovic, Srdjan; Smeland, Olav Bjerkehagen; Dieset, Ingrid; Fanous, Ayman H.; Desikan, Rahul S; Küry, Sébastien; Bézieau, Stéphane; Dale, Anders; Mills, Ian Geoffrey & Andreassen, Ole Andreas (2018). Identification of shared genetic variants between schizophrenia and lung cancer. Scientific Reports.  ISSN 2045-2322.  674(8), s 1- 8 . doi: 10.1038/s41598-017-16481-4 Fulltekst i vitenarkiv.
• Shadrin, Alexey A.; Smeland, Olav Bjerkehagen; Zayats, Tetyana; Schork, Andrew J; Frei, Oleksandr; Bettella, Francesco; Witoelar, Aree; Li, Wen; Eriksen, Jon Alm; Krull, Florian; Djurovic, Srdjan; Faraone, Stephen V.; Reichborn-Kjennerud, Ted; Thompson, Wesley K; Johansson, Stefan; Haavik, Jan; Dale, Anders; Wang, Yunpeng & Andreassen, Ole Andreas (2017). Novel loci associated with attention-deficit/hyperactivity disorder are revealed by leveraging polygenic overlap with educational attainment. Journal of the American Academy of Child and Adolescent Psychiatry.  ISSN 0890-8567.  57(2), s 86- 95 . doi: 10.1016/j.jaac.2017.11.013 Fulltekst i vitenarkiv.
• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Kauppi, Karolina; Hill, W. David; Li, Wen; Wang, Yunpeng; Krull, Florian; Bettella, Francesco; Eriksen, Jon Alm; Witoelar, Aree; Davies, Gail; Fan, Chun Chieh; Thompson, Wesley Kurt; Lam, Max; Lencz, Todd; Chen, Chi-Hua; Ueland, Torill; Jönsson, Erik Gunnar; Djurovic, Srdjan; Deary, Ian J.; Dale, Anders & Andreassen, Ole Andreas (2017). Identification of genetic loci jointly influencing schizophrenia risk and the cognitive traits of verbal-numerical reasoning, reaction time, and general cognitive function. JAMA psychiatry.  ISSN 2168-6238.  74(10), s 1065- 1075 . doi: 10.1001/jamapsychiatry.2017.1986 Fulltekst i vitenarkiv.
• Smeland, Olav Bjerkehagen; Wang, Yunpeng; Frei, Oleksandr; Li, Wen; Hibar, Derrek P; Franke, Barbara; Bettella, Francesco; Witoelar, Aree; Djurovic, Srdjan; Chen, Chi-Hua; Thompson, P.M.; Dale, Anders & Andreassen, Ole Andreas (2017). Genetic overlap between schizophrenia and volumes of hippocampus, putamen, and intracranial volume indicates shared molecular genetic mechanisms. Schizophrenia Bulletin.  ISSN 0586-7614.  44(4), s 854- 864 . doi: 10.1093/schbul/sbx148
• Smeland, Olav Bjerkehagen; Wang, Yunpeng; Lo, Min-Tzu; Li, Wen; Frei, Oleksandr; Witoelar, Aree; Tesli, Martin Steen; Hinds, David A.; Tung, Joyce Y.; Djurovic, Srdjan; Chen, Chi-Hua; Dale, Anders & Andreassen, Ole Andreas (2017). Identification of genetic loci shared between schizophrenia and the Big Five personality traits. Scientific Reports.  ISSN 2045-2322.  7:2222(1), s 1- 9 . doi: 10.1038/s41598-017-02346-3 Fulltekst i vitenarkiv.
• Winsvold, Bendik K S; Bettella, Francesco; Witoelar, Aree; Anttila, Verneri; Gormley, Padhraig; Kurth, Tobias; Terwindt, Gisela M; Freilinger, Tobias; Frei, Oleksandr; Shadrin, Alexey A.; Wang, Yunpeng; Dale, Anders; Van Den Maagdenberg, Arn M.J.M.; Chasman, Daniel I; Nyholt, Dale R; Palotie, Aarno; Andreassen, Ole Andreas & Zwart, John-Anker (2017). Shared genetic risk between migraine and coronary artery disease: A genome-wide analysis of common variants. PLOS ONE.  ISSN 1932-6203.  s 1- 15 . doi: 10.1371/journal.pone.0185663 Fulltekst i vitenarkiv.

Se alle arbeider i Cristin

• Smeland, Olav Bjerkehagen; Bahrami, Shahram; Frei, Oleksandr; Shadrin, Alexey A.; Savage, Jeanne E.; Watanabe, Kyoko; Krull, Florian; Bettella, Francesco; Steen, Nils Eiel; Ueland, Torill; Posthuma, Danielle; Djurovic, Srdjan; Dale, Anders & Andreassen, Ole Andreas (2018). Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder and intelligence.
• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Wang, Yunpeng; Dale, Anders & Andreassen, Ole Andreas (2017). Combined Analysis of Large Genetic Samples. New Statistical Approaches Improve Gene Discovery.
• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Wang, Yunpeng; Fan, Chun Chieh; Alexey, Shadrin; Li, Wen; Florian, Krull; Bettella, Francesco; Witoelar, Aree; Thompson, Wesley Kurt; Djurovic, Srdjan; Dale, Anders & Andreassen, Ole Andreas (2017). Increased discovery of risk loci for bipolar disorder by leveraging prior probabilities of true associations using the covariate modulated mixture model (CM3).
• Smeland, Olav Bjerkehagen; Frei, Oleksandr; Wang, Yunpeng; Fan, Chun Chieh; Shadrin, Alexey A.; Li, Wen; Krull, Florian; Bettella, Francesco; Witoelar, Aree; Thompson, Wesley Kurt; Djurovic, Srdjan; Dale, Anders & Andreassen, Ole Andreas (2017). C-Reactive Protein Levels and Schizophrenia Share Genetic Influences.
• Smeland, Olav Bjerkehagen; Wang, Yunpeng; Frei, Oleksandr; Li, Wen; Hibar, Derrek; Franke, Barbara; Bettella, Francesco; Witoelar, Aree; Djurovic, Srdjan; Chen, Chi-Hua; Thompson, P.M.; Dale, Anders & Andreassen, Ole Andreas (2017). Conditional false discovery rate analysis of genome-wide association studies uncovers genetic loci shared between schizophrenia and volumes of hippocampus, putamen and intracranial volume.
• Smeland, Olav Bjerkehagen; Kauppi, Karolina; Wang, Yunpeng; Frei, Oleksandr; Li, Wen; Hill, David W; Davies, Gail; Eriksen, Jon Alm; Witoelar, Aree; Bettella, Francesco; Fan, Chun Chieh; Thompson, Wesley Kurt; Chen, Chi-Hua; Djurovic, Srdjan; Deary, Ian J.; Dale, Anders & Andreassen, Ole Andreas (2016). Schizophrenia and general cognitive function share genetic influences.

Se alle arbeider i Cristin