Yunpeng Wang

• Grydeland, Håkon; Wang, Yunpeng; Sederevicius, Donatas; Bartres-Faz, David; Bertram, Lars; Dobricic, Valerija; Düzel, Sandra; Ebmeier, Klaus; Lindenberger, Ulman; Nyberg, Lars Erik; Pudas, Sara; Sexton, Claire E; Solé-Padullés, Cristina; Walhovd, Kristine B & Fjell, Anders Martin (2021). Sleep Efficiency Relates to Hippocampal Integrity Decline in β-Amyloid Positive Adults. Sleep.  ISSN 0161-8105. . doi: https://doi.org/10.1101/2020.04.28.061184 Show summary

  Background To test the hypothesis that worse self-reported sleep relates to memory decay and reduced hippocampal integrity as indexed by increased intra-hippocampal water diffusion, and that the relations are stronger in the presence of β-amyloid (Aβ) accumulation, a marker of Alzheimer’s disease (AD) pathology. Methods Two-hundred and forty-three cognitively healthy participants, aged 19-81 years, completed the Pittsburgh Sleep Quality Index, and 2 diffusion tensor imaging sessions, on average 3 years apart, allowing measures of decline in hippocampal microstructural integrity as indexed by increased mean diffusivity. We measured memory decay using delayed recall from the California Verbal Learning Test. 18F-Flutemetamol positron emission tomography, in 108 participants above 44 years of age, yielded 23 Aβ positive. Genotyping enabled controlling for APOE ε4 status, and polygenic scores for sleep efficiency and AD. Results Worse global sleep quality and sleep efficiency related to more rapid reduction in hippocampal microstructural integrity over time. Focusing on sleep efficiency, the relation was stronger in presence of Aβ accumulation. Sleep efficiency related to memory decay indirectly via hippocampal integrity decline. The results were not explained by genetic risk for sleep efficiency and AD. Conclusions Poor self-reported sleep efficiency related to decline in hippocampal integrity, especially in the presence of Aβ accumulation. Poor sleep and hippocampal microstructural decline may partly explain memory decline in older adults with Aβ pathology. The relationships were not explained by genetic risk. Poor self-reported sleep efficiency might constitute a risk factor for AD, although the causal mechanisms driving the of observed associations remain unknown.

• Coleman, Jonathan R.I.; Gaspar, Helena A; Bryois, Julien; Byrne, Enda M; Forstner, Andreas J; Holmans, Peter A; de Leeuw, Christiaan A.; Mattheisen, Manuel; McQuillin, Andrew; Whitehead Pavlides, Jennifer M; Pers, Tune H; Ripke, Stephan; Stahl, Eli A.; Steinberg, Stacy; Trubetskoy, Vassily; Trzaskowski, Maciej; Wang, Yunpeng; Abbott, Liam; Abdellaoui, Abdel; Adams, Mark J; Nordin Adolfsson, Annelie; Agerbo, Esben; Akil, Huda; Albani, Diego; Alliey-Rodriguez, Ney; Als, Thomas D.; Andlauer, Till F.M.; Anjorin, Adebayo; Anttila, Verneri; Van Der Auwera, Sandra; Awasthi, Swapnil; Bacanu, Silviu-Alin; Badner, Judith A.; Bækvad-Hansen, Marie; Barchas, Jack D.; Bass, Nicholas; Bauer, Michael; Beekman, Aartjan T.F.; Belliveau, Richard; Bøen, Erlend; Djurovic, Srdjan; Elvsåshagen, Torbjørn; Smeland, Olav Bjerkehagen; Agartz, Ingrid; Melle, Ingrid; Morken, Gunnar; Ødegaard, Ketil Joachim; Stordal, Eystein; Vaaler, Arne; Andreassen, Ole Andreas & Breen, Gerome (2020). The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry.  ISSN 0006-3223. . doi: 10.1016/j.biopsych.2019.10.015 Show summary

  Background: Mood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction. Methods: To clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424). Results: Seventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder. Conclusions: The mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

• Còrdova Palomera, Aldo; van der Meer, Dennis; Kaufmann, Tobias; Bettella, Francesco; Wang, Yunpeng; Alnæs, Dag; Doan, Nhat Trung; Agartz, Ingrid; Bertolino, Alessandro; Buitelaar, Jan; Coynel, David; Djurovic, Srdjan; Dørum, Erlend Solberg; Espeseth, Thomas; Fazio, Leonardo; Franke, Barbara; Frei, Oleksandr; Håberg, Asta; Le Hellard, Stephanie; Jönsson, Erik Gunnar; Kolskår, Knut-Kristian; Lund, Martina Jonette; Moberget, Torgeir; Nordvik, Jan; Nyberg, Lars; Papassotiropoulos, Andreas; Pergola, Giulio; de Quervain, Dominique; Rampino, Antonio; Richard, Geneviève; Rokicki, Jaroslav; Sanders, Anne-Marthe; Schwarz, Emanuel; Smeland, Olav Bjerkehagen; Steen, Vidar Martin; Starrfelt, Jostein; Sønderby, Ida Elken; Ulrichsen, Kristine Moe; Andreassen, Ole Andreas & Westlye, Lars Tjelta (2020). Genetic control of variability in subcortical and intracranial volumes. Molecular Psychiatry.  ISSN 1359-4184.  s 1- 8 . doi: 10.1038/s41380-020-0664-1 Full text in Research Archive.
• Fjell, Anders Martin; Sederevicius, Donatas; Sneve, Markus Handal; de Lange, Ann-Marie Glasø; Bråthen, Anne Cecilie Sjøli; Idland, Ane-Victoria; Watne, Leiv Otto; Wang, Yunpeng; Reinbold, Céline Sonja; Dobricic, Valerija; Kilpert, Fabian; Blennow, Kaj; Zetterberg, Henrik; Hong, S; Bertram, Lars & Walhovd, Kristine B (2020). Self-reported sleep problems are related to amyloid deposition in cortical regions with high HOMER1 gene expression. Cerebral Cortex.  ISSN 1047-3211.  30(4), s 2144- 2156 . doi: 10.1093/cercor/bhz228 Full text in Research Archive.
• Grasby, Katrina L.; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita; Hibar, DP; Lind, Penelope A.; Pizzagalli, Fabrizio; Ching, Christopher R.K.; McMahon, Mary Agnes B.; Shatokhina, Natalia; Zsembik, Leo C.P.; Thomopoulos, Sophia I.; Zhu, Alyssa H.; Strike, Lachlan T.; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio A.A.; Alnæs, Dag; Amlien, Inge Kasbohm; Doan, Nhat Trung; Gurholt, Tiril Pedersen; Kaufmann, Tobias; Richard, Geneviève; Sønderby, Ida Elken; van der Meer, Dennis; Wang, Yunpeng; Westlye, Lars Tjelta; Wolfers, Thomas; Brandt, Christine Lycke; Djurovic, Srdjan; Kolskår, Knut-Kristian; Le Hellard, Stephanie; Melle, Ingrid; Andreassen, Ole Andreas; Espeseth, Thomas; Jönsson, Erik Gunnar; Steen, Vidar Martin; Håberg, Asta; Trollor, Julian N.; Van Der Wee, Nic J.A.; Volzke, Henry; Walter, Henrik; Weber, Bernd; Weinberger, Daniel R.; Wright, Margaret J.; Zhou, Juan; Stein, Jason L.; Thompson, Paul M. & Medland, Sarah E. (2020). The genetic architecture of the human cerebral cortex. Science.  ISSN 0036-8075.  367(6484) . doi: 10.1126/science.aay6690 Full text in Research Archive. Show summary

  INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 306 nominally genome-wide significant loci (P < 5 × 10−8) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 299 loci for which replication data were available, 241 loci influencing surface area and 14 influencing thickness remained significant after replication, with 199 loci passing multiple testing correction (P < 8.3 × 10−10; 187 influencing surface area and 12 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation (rG = −0.32, SE = 0.05, P = 6.5 × 10−12), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 10 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function.

• Hofer, Edith; Roshchupkin, Gennady V.; Adams, Hieab H H; Knol, Maria J.; Lin, Honghuang; Li, Shuo; Zare, Habil; Ahmad, Shahzad; Armstrong, Nicola J.; Satizabal, Claudia L.; Panizzon, Matthew S.; Andreassen, Ole Andreas; Dale, Anders M.; Logue, Mark; Grasby, Katrina L.; Van Duijn, Cornelia M.; Grabe, Hans J.; Longstreth, William T.; Fornage, Myriam; Paus, Tomas; Debette, Stephanie; Ikram, M. Arfan; Schmidt, Helena; Schmidt, Reinhold; Seshadri, Sudha; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio A.A.; Alnæs, Dag; Amlien, Inge Kasbohm; Doan, Nhat Trung; Gurholt, Tiril Pedersen; Kaufmann, Tobias; Richard, Geneviève; Sønderby, Ida Elken; van der Meer, Dennis; Wang, Yunpeng; Westlye, Lars Tjelta; Brandt, Christine Lycke; Djurovic, Srdjan; Kolskår, Knut-Kristian; Melle, Ingrid; Nordvik, Jan Egil; Steen, Vidar Martin; Espeseth, Thomas; Håberg, Asta; Wright, Margaret J.; Zhou, Juan; Stein, Jason L.; Thompson, Paul M. & Medland, Sarah E. (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications.  ISSN 2041-1723.  11 . doi: 10.1038/s41467-020-18367-y Full text in Research Archive.
• Smeland, Olav Bjerkehagen; Shadrin, Alexey A.; Bahrami, Shahram; Broce, Iris J.; Tesli, Martin Steen; Frei, Oleksandr; Wirgenes, Katrine Verena; O`Connell, Kevin; Krull, Florian; Bettella, Francesco; Steen, Nils Eiel; Sugrue, Leo P.; Wang, Yunpeng; Svenningsson, Per; Sharma, Manu; Pihlstrøm, Lasse; Toft, H. Mathias S.; O’Donovan, Michael; Djurovic, Srdjan; Desikan, Rahul S; Dale, Anders M. & Andreassen, Ole Andreas (2020). Genome-wide Association Analysis of Parkinson’s Disease and Schizophrenia Reveals Shared Genetic Architecture and Identifies Novel Risk Loci. Biological Psychiatry.  ISSN 0006-3223.  89(3), s 227- 235 . doi: 10.1016/j.biopsych.2020.01.026 Full text in Research Archive. Show summary

  BACKGROUND:Parkinson’s disease (PD) and schizophrenia (SCZ) are heritable brain disorders that involvedysregulation of the dopaminergic system. Epidemiological studies have reported potential comorbidity between thedisorders, and movement disturbances are common in patients with SCZ before treatment with antipsychotic drugs.Despite this, little is known about shared genetic etiology between the disorders.METHODS:We analyzed recent large genome-wide association studies on patients with SCZ (N= 77,096) and PD(N= 417,508) using a conditional/conjunctional false discovery rate (FDR) approach to evaluate overlap incommon genetic variants and improve statistical power for genetic discovery. Using a variety of biologicalresources, we functionally characterized the identified genomic loci.RESULTS:We observed genetic enrichment in PD conditional onassociations with SCZ and vice versa, indicatingpolygenic overlap. We then leveraged this cross-trait enrichment using conditional FDR analysis and identified 9 novel PDrisk loci and 1 novel SCZ locus at conditional FDR,.01. Furthermore, we identified 9 genomic loci jointly associated withPD and SCZ at conjunctional FDR,.05. There was an even distribution of antagonistic and agonistic effect directionsamong the shared loci, in line with the insignificant genetic correlation between the disorders. Of 67 genes mapped to theshared loci, 65 are expressed in the human brain and show cell type–specific expression profiles.CONCLUSIONS:Altogether, the study increases understanding of the genetic architectures underlying SCZ and PD,indicating that common molecular genetic mechanisms may contribute to overlapping pathophysiological and clinicalfeatures between the disorders.

• Tao, Qi; Miao, Yun; Li, Huihui; Yuan, Xiuxia; Huang, Xufeng; Wang, Yunpeng; Andreassen, Ole Andreas; Fan, Xiaoduo; Yang, Yongfeng & Song, Xueqin (2020). Insulin Resistance and Oxidative Stress: In Relation to Cognitive Function and Psychopathology in Drug-Naïve, First-Episode Drug-Free Schizophrenia. Frontiers in Psychiatry.  ISSN 1664-0640. . doi: 10.3389/fpsyt.2020.537280 Full text in Research Archive.
• Walhovd, Kristine B; Fjell, Anders Martin; Sørensen, Øystein; Mowinckel, Athanasia Monika; Reinbold, Céline Sonja; Idland, Ane-Victoria; Watne, Leiv; Franke, Andre; Dobricic, Valerija; Kilpert, Fabian; Bertram, Lars & Wang, Yunpeng (2020). Genetic risk for Alzheimer disease predicts hippocampal volume through the human lifespan. Neurology: Genetics.  ISSN 2376-7839.  6(5) . doi: doi:10.1212/NXG.0000000000000506 Full text in Research Archive.
• Wang, Yunpeng; Nudel, Ron; Benros, Michael Eriksen; Skogstrand, Kristin; Fishilevich, Simon; Lancet, Doron; Sun, Jiangming; Hougaard, David M.; Andreassen, Ole Andreas; Mortensen, Preben Bo; Buil, Alfonso; Hansen, Thomas Folkmann; Thompson, Wesley K & Werge, Thomas (2020). Genome-wide association study identifies 16 genomic regions associated with circulating cytokines at birth. PLoS Genetics.  ISSN 1553-7390. . doi: https://doi.org/10.1371/journal.pgen.1009163 Full text in Research Archive.
• Lee, Phil H.; Antilla, Verneri; Won, Hyejung; Feng, Yen-Chen A.; Rosenthal, Jacob; Zhu, Zhaozhong; Tucker-Drob, Elliot M.; Nivard, Michel G.; Grotzinger, Andrew D.; Posthuma, Danielle; Yu, Dongmei; Stahl, Eli A.; Walters, Raymond K.; Anney, Richard J.L.; Duncan, Laramie E.; Ge, Tian; Belangero, Sintia I.; Cook, Edwin H.; Hoekstra, Pieter J.; Keski-Rahkonen, Anna; Kirov, George; Luykx, Jurjen J.; Rohde, Luis A.; Agerbo, Esben; Arranz, M.J.; Asherson, Philip; Bækvad-Hansen, Marie; Bellgrove, Mark A.; Belliveau Jr, Richard A.; Buitelaar, Jan; Bybjerg-Grauholm, Jonas; Casas, Miquel; Chambert, Kimberly; Cerrato, Felecia; Churchhouse, Claire; Cormand, Bru; Crosbie, Jennifer; Dalsgaard, Søren; Haavik, Jan; Hakonarson, Hakon; Hansen, Christine S.; Mors, Ole; Zayats, Tetyana; Bettella, Francesco; Hope, Sigrun; Hultman, Christina M.; Nærland, Terje; Bøen, Erlend; Elvsåshagen, Torbjørn; Ødegaard, Ketil Joachim; Malt, Ulrik Fredrik; Melle, Ingrid; Reinbold, Céline Sonja; Smeland, Olav Bjerkehagen; Wang, Yunpeng; Espeseth, Thomas; Knudsen, Gun Peggy Strømstad; Le Hellard, Stephanie; Reichborn-Kjennerud, Ted; Jönsson, Erik Gunnar; Andreassen, Ole Andreas; Agartz, Ingrid; Morken, Gunnar; Stordal, Eystein; Vaaler, Arne & Joa, Inge (2019). Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. Cell.  ISSN 0092-8674.  179(7), s 1469- 1482 . doi: 10.1016/j.cell.2019.11.020 Full text in Research Archive.
• Bauer, Anna E.; Liu, Xiaoqin; Byrne, Enda M.; Sullivan, Patrick F.; Wray, Naomi R.; Agerbo, Esben; Nyegaard, Mette; Grove, Jakob; Musliner, Katherine L.; Ingstrup, Katja G.; Johannsen, Benedicte M.W.; Mægbæk, Merete Lund; Wang, Yunpeng; Nordentoft, Merete; Mors, Ole; Børglum, Anders D.; Werge, Thomas; Hougaard, David M.; Mortensen, Preben Bo; Munk-Olsen, Trine & Meltzer-Brody, Samantha (2019). Genetic risk scores for major psychiatric disorders and the risk of postpartum psychiatric disorders. Translational Psychiatry.  ISSN 2158-3188.  9:288, s 1- 12 . doi: 10.1038/s41398-019-0629-9
• 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 Full text in Research Archive. Show summary

  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 Full text in Research Archive.
• Gasse, Christiane; Wimberley, Theresa; Wang, Yunpeng; Mors, Ole; Børglum, Anders; Als, Thomas Damm; Werge, Thomas; Nordentoft, Merete; Hougaard, David M. & Horsdal, Henriette Thisted (2019). Schizophrenia polygenic risk scores, urbanicity and treatment-resistant schizophrenia. Schizophrenia Research.  ISSN 0920-9964.  212, s 79- 85 . doi: 10.1016/j.schres.2019.08.008
• Jansen, Iris E.; Savage, Jeanne E.; Watanabe, Kyoko; Bryois, Julien; Williams, Dylan M.; Steinberg, Stacy; Sealock, Julia; Karlsson, Ida K.; Hägg, Sara; Athanasiu, Lavinia; Voyle, Nicola; Proitsi, Petroula; Witoelar, Aree; Stringer, Sven; Aarsland, Dag; Almdahl, Ina Selseth; Andersen, Fred; Bergh, Sverre; Bettella, Francesco; Björnsson, Sigurbjörn; Brækhus, Anne; Bråthen, Geir; de Leeuw, Christiaan A.; Desikan, Rahul S.; Djurovic, Srdjan; Dumitrescu, Logan; Fladby, Tormod; Hohman, Timothy J.; Jónsson, Pálmi V.; Kiddle, Steven J; Rongve, Arvid; Saltvedt, Ingvild; Sando, Sigrid Botne; Selbæk, Geir; Shoai, Maryam; Skene, Nathan G.; Snædal, Jón G.; Stordal, Eystein; Ulstein, Ingun; Wang, Yunpeng; White, Linda Rosemary; Hardy, John; Hjerling-Leffler, Jens; Sullivan, Patrick; van der Flier, Wiesje M.; Dobson, Richard; Davis, Lea K; Stefánsson, Hreinn; Stefánsson, Kári; Pedersen, Nancy L; Ripke, Stephan; Andreassen, Ole Andreas & Posthuma, Danielle (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk. Nature Genetics.  ISSN 1061-4036.  51(3), s 404- 413 . doi: 10.1038/s41588-018-0311-9 Full text in Research Archive.
• Nievergelt, Caroline M.; Maihofer, Adam X.; Klengel, Torsten; Atkinson, Elizabeth G.; Chen, Chia-Yen; Choi, Karmel W.; Coleman, Jonathan R.I.; Dalvie, Shareefa; Duncan, Laramie E.; Gelernter, Joel; Levey, Daniel F.; Logue, Mark W.; Polimanti, Renato; Provost, Allison C.; Ratanatharathorn, Andrew; Stein, Murray B.; Torres, Katy; Aiello, Allison E.; Almli, Lynn M.; Amstadter, Ananda B.; Andersen, Søren B.; Andreassen, Ole Andreas; Arbisi, Paul A.; Ashley-Koch, Allison E.; Austin, S. Bryn; Avdibegovic, Esmina; Babić, Dragan; Bækvad-Hansen, Marie; Baker, Dewleen G.; Beckham, Jean C.; Bierut, Laura J; Bisson, Jonathan I; Boks, Marco P; Bolger, Elizabeth A; Børglum, Anders D.; Bradley, Bekh; Brashear, Megan; Breen, Gerome; Bryant, Richard A.; Bustamante, Angela C.; Bybjerg-Grauholm, Jonas; Calabrese, Joseph R.; Caldas-de-Almeida, José M.; Dale, Anders; Daly, Mark J.; Daskalakis, Nikolaos P.; Deckert, Jürgen; Delahanty, Douglas L.; Dennis, Michelle F.; Disner, Seth G.; Domschke, Katharina; Dzubur-Kulenovic, Alma; Erbes, Christopher R.; Evans, Alexandra; Farrer, Lindsay A.; Feeny, Norah C.; Flory, Janine D.; Forbes, David; Franz, Carol E.; Galea, Sandro; Garrett, Melanie E.; Gelaye, Bizu; Geuze, Elbert; Gillespie, Charles; Uka, Afërdita Goçi; Gordon, Scott D.; Guffanti, Guia; Hammamieh, Rasha; Harnal, Supriya; Hauser, Michael A.; Heath, Andrew C.; Hemmings, Sian M.J.; Hougaard, David Michael; Jakovljevíc, Miro; Jett, Marti; Johnson, Eric Otto; Jones, Ian; Jovanovic, Tanja; Qin, Xue-Jun; Junglen, Angela G.; Karstoft, Karen-Inge; Kaufman, Milissa L.; Kessler, Ronald C.; Khan, Alaptagin; Kimbrel, Nathan A.; King, Anthony P.; Koen, Nastassja; Kranzler, Henry R.; Kremen, William S.; Lawford, Bruce R.; Lebois, Lauren A.M.; Lewis, Catrin E.; Linnstaedt, Sarah D.; Lori, Adriana; Lugonja, Bozo; Luykx, Jurjen Justin; Lyons, Michael J.; Maples-Keller, Jessica; Marmar, Charles; Martin, Alicia R.; Martin, Nicholas G.; Maurer, Douglas; Mavissakalian, Matig R.; McFarlane, Alexander; McGlinchey, Regina E.; McLaughlin, Katie A.; McLean, Samuel A.; McLeay, Sarah; Mehta, Divya; Milberg, William P.; Miller, Mark W.; Morey, Rajendra A.; Morris, Charles Phillip; Mors, Ole; Mortensen, Preben B.; Neale, Benjamin M.; Nelson, Elliot C.; Nordentoft, Merete; Norman, Sonya B.; O'Donnell, Meaghan; Orcutt, Holly K.; Panizzon, Matthew S.; Peters, Edward S.; Peterson, Alan L.; Peverill, Matthew; Pietrzak, Robert H.; Polusny, Melissa A.; Rice, John P.; Ripke, Stephan; Risbrough, Victoria B.; Roberts, Andrea L.; Rothbaum, Alex O.; Rothbaum, Barbara O.; Roy-Byrne, Peter; Ruggiero, Ken; Rung, Ariane; Rutten, Bart P.F.; Saccone, Nancy L.; Sanchez, Sixto E.; Schijven, Dick; Seedat, Soraya; Seligowski, Antonia V.; Seng, Julia S.; Sheerin, Christina M.; Silove, Derrick; Smith, Alicia K.; Smoller, Jordan W.; Sponheim, Scott R.; Stein, Dan J.; Stevens, Jennifer S; Sumner, Jennifer A.; Teicher, Martin H.; Thompson, Wesley Kurt; Trapido, Edward; Uddin, Monica; Ursano, Robert J.; van den Heuvel, Leigh Luella; van Hooff, Miranda; Vermetten, Eric; Vinkers, Christiaan H.; Voisey, Joanne; Wang, Yunpeng; Wang, Zhewu; Werge, Thomas; Williams, Michelle A.; Williamson, Douglas E.; Winternitz, Sherry; Wolf, Christiane; Wolf, Erika J.; Wolff, Jonathan D.; Yehuda, Rachel; Young, Ross McD.; Young, Keith A.; Zhao, Hongyu; Zoellner, Lori A.; Liberzon, Israel; Ressler, Kerry J.; Haas, Magali & Koenen, Karestan C. (2019). International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. Nature Communications.  ISSN 2041-1723.  10:4558, s 1- 16 . doi: 10.1038/s41467-019-12576-w Full text in Research Archive.
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• 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
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• Srinivasan, Saurabh; Bettella, Francesco; Hassani, Sahar; Wang, Yunpeng; Witoelar, Aree; Schork, Andrew J.; Thompson, Wesley Kurt; Collier, David A.; Desikan, Rahul S.; Melle, Ingrid; Dale, Anders; Djurovic, Srdjan & Andreassen, Ole Andreas (2017). Probing the association between early evolutionary markers and schizophrenia. PLOS ONE.  ISSN 1932-6203.  12:e0169227(1), s 1- 15 . doi: 10.1371/journal.pone.0169227
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• Witoelar, Aree; Jansen, Iris E.; Wang, Yunpeng; Desikan, Rahul S.; Gibbs, J. Raphael; Thompson, Wesley Kurt; Hernandez, Dena G.; Djurovic, Srdjan; Schork, Andrew J.; Bettella, Francesco; Ellinghaus, David; Franke, Andre; Lie, Benedicte Alexandra; McEvoy, Linda K.; Karlsen, Tom Hemming; Lesage, Suzanne; Morris, Huw R.; Brice, Alexis; Wood, Nicholas W.; Heutink, Peter; Hardy, John; Singleton, Andrew B.; Dale, Anders; Gasser, Thomas; Andreassen, Ole Andreas & Sharma, Manu (2017). Genome-wide pleiotropy between Parkinson disease and autoimmune diseases. JAMA Neurology.  ISSN 2168-6149.  74(7), s 780- 792 . doi: 10.1001/jamaneurol.2017.0469
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• Lo, Min-Tzu; Hinds, David A; Tung, Joyce Y.; Franz, Carol E.; Fan, Chun Chieh; Wang, Yunpeng; Smeland, Olav Bjerkehagen; Schork, Andrew J.; Holland, Dominic; Kauppi, Karolina; Nilotpal, Sanyal; Escott-Price, Valentina; Smith, Daniel J.; O'Donovan, Michael; Stefansson, Hreinn; Bjornsdottir, Gyda; Thorgeirsson, Thorgeir E; Stefansson, Kari; McEvoy, Linda K.; Dale, Anders; Andreassen, Ole Andreas & Chen, Chi-Hua (2016). Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders. Nature Genetics.  ISSN 1061-4036.  49(1), s 152- 156 . doi: 10.1038/ng.3736
• Mäki-Marttunen, Tuomo; Halnes, Geir; Devor, Anna; Witoelar, Aree; Bettella, Francesco; Djurovic, Srdjan; Wang, Yunpeng; Einevoll, Gaute; Andreassen, Ole Andreas & Dale, Anders M. (2016). Functional effects of schizophrenia-linked genetic variants on intrinsic single-neuron excitability: a modeling study. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.  ISSN 2451-9022.  1(1), s 49- 59 . doi: 10.1016/j.bpsc.2015.09.002 Show summary

  BACKGROUND: Recent genome-wide association studies have identified a large number of genetic risk factors for schizophrenia (SCZ) featuring ion channels and calcium transporters. For some of these risk factors, independent prior investigations have examined the effects of genetic alterations on the cellular electrical excitability and calcium homeostasis. In the present proof-of-concept study, we harnessed these experimental results for modeling of computational properties on layer V cortical pyramidal cells and identified possible common alterations in behavior across SCZ-related genes. METHODS: We applied a biophysically detailed multicompartmental model to study the excitability of a layer V pyramidal cell. We reviewed the literature on functional genomics for variants of genes associated with SCZ and used changes in neuron model parameters to represent the effects of these variants. RESULTS: We present and apply a framework for examining the effects of subtle single nucleotide polymorphisms in ion channel and calcium transporter-encoding genes on neuron excitability. Our analysis indicates that most of the considered SCZ-related genetic variants affect the spiking behavior and intracellular calcium dynamics resulting from summation of inputs across the dendritic tree. CONCLUSIONS: Our results suggest that alteration in the ability of a single neuron to integrate the inputs and scale its excitability may constitute a fundamental mechanistic contributor to mental disease, alongside the previously proposed deficits in synaptic communication and network behavior. Keywords: Biophysical modeling, Functional genomics, Genome-wide association studies, Layer V pyramidal cell, Neuron excitability, Schizophrenia

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• Andreassen, Ole Andreas; Harbo, Hanne Flinstad; Wang, Yunpeng; Thompson, WK; Schork, AJ; Mattingsdal, Morten; Zuber, Verena; Bettella, Franscesco; Ripke, S; Kelsoe, JR; Kendler, KS; O'Donovan, MC; Sklar, P; McEvoy, LK; Desikan, RS; Lie, Benedicte Alexandra; Djurovic, Srdjan & Dale, Anders M. (2015). Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci. Molecular Psychiatry.  ISSN 1359-4184.  20(2), s 207- 214 . doi: 10.1038/mp.2013.195 Full text in Research Archive.
• Chen, Chi-Hua; Peng, Qian; Schork, Andrew J.; Lo, Min-Tzu; Fan, Chun-Chieh; Wang, Yunpeng; Desikan, Rahul S.; Bettella, Franscesco; Hagler, Donald J.; Westlye, Lars Tjelta; Kremen, William S.; Jernigan, Terry L.; Le Hellard, Stephanie; Steen, Vidar Martin; Espeseth, Thomas; Huentelman, Matt; Håberg, Asta; Agartz, Ingrid; Djurovic, Srdjan; Andreassen, Ole Andreas; Schork, Nicholas & Dale, Anders (2015). Large-scale genomics unveil polygenic architecture of human cortical surface area. Nature Communications.  ISSN 2041-1723.  6:7549 . doi: 10.1038/ncomms8549 Full text in Research Archive.
• Desikan, Rahul S.; Schork, Andrew J.; Wang, Yunpeng; Thompson, Wesley K.; Dehghan, Abbas; Ridker, Paul M.; Chasman, Daniel I.; McEvoy, Linda K.; Holland, Dominic; Chen, Chi-Hua; Karow, David S.; Brewer, James B.; Hess, Christopher P.; Williams, Julie; Sims, Rebecca; O'Donovan, Michael C.; Choi, Seung Hoan; Bis, Joshua C.; Ikram, M. Arfan; Gudnason, Vilmundur; DeStefano, Anita L.; Van Der Lee, Sven J.; Psaty, Bruce M.; Van Duijn, Cornelia M.; Launer, Lenore; Seshadri, Sudha; Pericak-Vance, Margaret A.; Mayeux, Richard; Haines, Jonathan L.; Farrer, Lindsay A.; Hardy, John; Ulstein, Ingun; Aarsland, Dag; Fladby, Tormod; White, Linda; Sando, Sigrid Botne; Rongve, Arvid; Witoelar, Aree; Djurovic, Srdjan; Hyman, Bradley T.; Snædal, Jon; Steinberg, Stacy; Stefansson, Hreinn; Stefánsson, Kári; Schellenberg, Gerard D.; Andreassen, Ole Andreas & Dale, Anders (2015). Polygenic overlap between C-reactive protein, plasma lipids, and Alzheimer disease. Circulation.  ISSN 0009-7322.  131(23), s 2061- 2069 . doi: 10.1161/CIRCULATIONAHA.115.015489 Full text in Research Archive.
• Desikan, RS; Schork, AJ; Wang, Yunpeng; Witoelar, Aree; Sharma, M; McEvoy, LK; Holland, D; Brewer, JB; Chen, CH; Thompson, WK; Harold, D; Williams, J; Owen, MJ; O'Donovan, MC; Pericak-Vance, MA; Mayeux, R; Haines, JL; Farrer, LA; Schellenberg, GD; Heutink, P; Singleton, AB; Brice, A; Wood, NW; Hardy, J; Martinez, M; Choi, SH; Destefano, A; Ikram, MA; Bis, JC; Smith, A; Fitzpatrick, AL; Launer, L; Van Duijn, C; Seshadri, S; Ulstein, Ingun; Aarsland, Dag; Fladby, Tormod; Djurovic, Srdjan; Hyman, BT; Snaedal, J; Stefansson, H; Stefansson, K; Gasser, T; Andreassen, Ole Andreas & Dale, AM (2015). Genetic overlap between Alzheimer's disease and Parkinson's disease at the MAPT locus. Molecular Psychiatry.  ISSN 1359-4184.  20(12), s 1588- 1595 . doi: 10.1038/mp.2015.6
• Fan, Chun Chieh; Bartsch, Hauke; Schork, Andrew J.; Chen, Chi-Hua; Wang, Yunpeng; Lo, Min-Tzu; Brown, Timothy T.; Kuperman, Joshua M.; Hagler, Donald J.; Schork, Nicholas J.; Jernigan, Terry L. & Dale, Anders (2015). Modeling the 3D geometry of the cortical surface with genetic ancestry. Current Biology.  ISSN 0960-9822.  25(15), s 1988- 1992 . doi: 10.1016/j.cub.2015.06.006
• Goulart, Luiz Fernando De Souza; Bettella, Franscesco; Sønderby, Ida Elken; Schork, Andrew J.; Thompson, Kurt Wesley; Mattingsdal, Morten; Steen, Vidar Martin; Zuber, Verena; Wang, Yunpeng; Dale, Anders; Andreassen, Ole Andreas & Djurovic, Srdjan (2015). MicroRNAs enrichment in GWAS of complex human phenotypes. BMC Genomics.  ISSN 1471-2164.  16:304 . doi: 10.1186/s12864-015-1513-5 Full text in Research Archive.
• LeBlanc, Marissa; Zuber, Verena; Kulle, Bettina; Witoelar, Aree; Zeng, Limin; Bettella, Francesco; Wang, Yunpeng; McEvoy, LK; Thompson, Kurt Wesley; Schork, AJ; Reppe, Sjur; Barrett-Connor, Elizabeth; Lighart, Symen; Dehghan, A; Gautvik, Kaare M; Nelson, CP; Schunkert, Heribert; Samani, Nilesh J; Ridker, PM; Chasman, Daniel I; Aukrust, Pål; Djurovic, Srdjan; Frigessi, Arnoldo; Desikan, RS; Dale, Anders & Andreassen, Ole Andreas (2015). Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes with Several Cardiovascular Risk Factors.. Circulation Research.  ISSN 0009-7330.  1, s 83- 94 . doi: 10.1161/CIRCRESAHA.115.306629
• Reppe, Sjur; Wang, Yunpeng; Thompson, Wesley K.; McEvoy, Linda K.; Schork, Andrew J.; Zuber, Verena; LeBlanc, Marissa; Bettella, Franscesco; Mills, Ian Geoffrey; Desikan, Rahul S.; Djurovic, Srdjan; Gautvik, Kaare M; Dale, Anders & Andreassen, Ole Andreas (2015). Genetic sharing with cardiovascular disease risk factors and diabetes reveals novel bone mineral density loci. PLOS ONE.  ISSN 1932-6203.  10:e0144531(12) . doi: 10.1371/journal.pone.0144531 Full text in Research Archive.
• Srinivasan, Saurabh; Bettella, Francesco; Mattingsdal, Morten; Wang, Yunpeng; Witoelar, Aree; Schork, AJ; Thompson, WK; Zuber, Verena; Winsvold, Bendik K S; Zwart, John-Anker; Collier, David A.; Desikan, RS; Melle, Ingrid; Werge, Thomas; Dale, Anders; Djurovic, Srdjan & Andreassen, Ole Andreas (2015). Genetic Markers of Human Evolution Are Enriched in Schizophrenia. Biological Psychiatry.  ISSN 0006-3223. . doi: 10.1016/j.biopsych.2015.10.009
• Thompson, WK; Wang, Yunpeng; Schork, AJ; Witoelar, Aree; Zuber, Verena; Xu, S; Werge, T; Holland, D; Andreassen, Ole Andreas & Dale, AM (2015). An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies. PLoS Genetics.  ISSN 1553-7390.  11(12) . doi: 10.1371/journal.pgen.1005717
• Andreassen, Ole Andreas; McEvoy, Linda K.; Thompson, Wesley K.; Wang, Yunpeng; Reppe, Sjur; Schork, Andrew J.; Zuber, Verena; Barrett-Connor, Elizabeth; Gautvik, Kaare M; Aukrust, Pål; Karlsen, Tom Hemming; Djurovic, Srdjan; Desikan, Rahul S. & Dale, Anders (2014). Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes. Hypertension.  ISSN 0194-911X.  63(4), s 819- 826 . doi: 10.1161/HYPERTENSIONAHA.113.02077 Full text in Research Archive.
• Gjuvsland, Arne Bjørke; Wang, Yunpeng; Plahte, Erik & Omholt, Stig W (2013). Monotonicity is a key feature of genotype-phenotype maps. Frontiers in Genetics.  ISSN 1664-8021.  4 . doi: 10.3389/fgene.2013.00216 Full text in Research Archive.
• Wang, Yunpeng; Vik, Jon Olav; Omholt, Stig W & Gjuvsland, Arne Bjørke (2013). Effect of regulatory architecture on broad versus narrow sense heritability. PLoS Computational Biology.  ISSN 1553-734X.  9(5) . doi: 10.1371/journal.pcbi.1003053 Full text in Research Archive.
• Wang, Yunpeng; Gjuvsland, Arne Bjørke; Vik, Jon Olav; Smith, Nicolas P; Hunter, Peter J & Omholt, Stig W (2012). Parameters in Dynamic Models of Complex Traits are Containers of Missing Heritability. PLoS Computational Biology.  ISSN 1553-734X.  8(4) . doi: 10.1371/journal.pcbi.1002459

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• Lo, Min-Tzu; Hinds, David A; Tung, Joyce Y; Franz, C; Fan, Chun Chieh; Wang, Yunpeng; Smeland, Olav Bjerkehagen; Schork, A.; Holland, D.; Kauppi, Karolina; Sanyal, Nilotpal; Escott-Price, Valentina; Smith, DJ; O'Donovan, Michael C; Stefansson, H; Bjornsdottir, Gyda; Thorgeirsson, TE; Stefansson, K; McEvoy, LK; Dale, AM; Andreassen, Ole Andreas & Chen, CH (2017). Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders.. Nature Genetics.  ISSN 1061-4036.  49(1), s 152- 156 . doi: 10.1038/ng.3736
• 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.
• Córdova-Palomera, Aldo; Bettella, Francesco; Wang, Yunpeng; Doan, Nhat Trung; Alnæs, Dag; Moberget, Torgeir; Kaufmann, Tobias; Sønderby, Ida Elken; Agartz, Ingrid; Andreassen, Ole Andreas & Westlye, Lars Tjelta (2016). POTENTIAL BRAIN MORPHOLOGY INSTABILITY FEATURES MEDIATING THE ASSOCIATION BETWEEN GENOME-WIDE HOMOZYGOSITY AND ALTERED NEUROCOGNITION.
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• Smeland, Olav Bjerkehagen; Witoelar, Aree; Wang, Yunpeng; Chen, Chi-Hua; Djurovic, Srdjan; Dale, Anders & Andreassen, Ole Andreas (2016). Genetic overlap between schizophrenia and brain structural volumes indicates shared molecular genetic mechanisms with potential relevance for antipsychotics.
• Zuber, Verena; Marconett, Crystal; Shi, Jianxin; Hua, Xing; Wheeler, William; Yang, Chenchen; Song, Lei; Dale, Anders M.; Laplana, Marina; Risch, Angela; Witoelar, Aree; Thompson, Wesley K; Schork, Andrew J.; Bettella, Francesco; Wang, Yunpeng; Djurovic, Srdjan; Zhou, Beiyun; Borok, Zea; van der Heijden, Henricus FM; de Graaf, Jacqueline; Swinkels, Dorine; Aben, Katja K.; McKay, James; Hung, Rayjean J.; Bikeböller, Heike; Stevens, Victoria L.; Albanes, Demetrius; Caporaso, Neil E.; Han, Younghun; Wei, Youngyue; Panadero, Maria A; Mayordomo, Jose Ignacio; Christiani, David C.; Kiemeney, Lambertus; Andreassen, Ole Andreas; Houlston, Richard; Amos, Christopher I.; Chatterjee, Nilanjan; Laird-Offringa, Ite A.; Mills, Ian Geoffrey & Landi, Maria Teresa (2016). Pleiotropic analysis of lung cancer and blood triglycerides. Journal of the National Cancer Institute.  ISSN 0027-8874.  108:djv167(12), s 1- 4 . doi: 10.1093/jnci/djw167
• Andreassen, Ole Andreas; Desikan, Rahul S.; Wang, Yunpeng; Thompson, Wesley K.; Schork, Andrew J.; Zuber, Verena; Doncheva, Nadezhda T.; Ellinghaus, Eva; Albrecht, Mario; Mattingsdal, Morten; Franke, Andre; Lie, Benedicte A.; Mills, Ian Geoffrey; Aukrust, Pål; McEvoy, Linda K.; Djurovic, Srdjan; Karlsen, Tom Hemming & Dale, Anders (2015). Correction: Abundant genetic overlap between blood lipids and immune-mediated diseases indicates shared molecular genetic mechanisms. PLOS ONE.  ISSN 1932-6203.  10(5) . doi: 10.1371/journal.pone.0128048
• Mäki-Marttunen, Tuomo; Halnes, Geir; Devor, Anna; Witoelar, Aree; Bettella, Francesco; Djurovic, Srdjan; Wang, Yunpeng; Einevoll, Gaute; Andreassen, Ole Andreas & Dale, Anders M. (2015). Towards biophysical psychiatry: A modeling approach for studying effects of schizophrenia-linked genes on single-neuron excitability.
• Mäki-Marttunen, Tuomo; Halnes, Geir; Devor, Anna; Witoelar, Aree; Bettella, Francesco; Djurovic, Srdjan; Wang, Yunpeng; Einevoll, Gaute; Andreassen, Ole Andreas & Dale, Anders M. (2015). Towards biophysical psychiatry: A modeling approach for studying effects of schizophrenia-linked gens on single-neuron excitability.
• Gjuvsland, Arne Bjørke; Wang, Yunpeng; Plahte, Erik & Omholt, Stig W (2014). Highly monotone genotype-phenotype maps emerging from gene regulatory networks.
• Wang, Yunpeng; Omholt, Stig W; Gjuvsland, Arne Bjørke & Vik, Jon Olav (2013). LINKING THE HERITABILITY CONCEPT TO SYSTEMS DYNAMICS. Philosophiae Doctor (PhD) Thesis. 18.
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• Wang, Yunpeng & Omholt, Stig W. (2010). Genetics meets multiscale and multiphysics modelling: the epistemic value of causally cohesive genotype-phenotype models.

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