scispace - formally typeset
Search or ask a question
Author

Annamari Tuulio-Henriksson

Bio: Annamari Tuulio-Henriksson is an academic researcher from University of Helsinki. The author has contributed to research in topics: Population & Schizophrenia. The author has an hindex of 49, co-authored 168 publications receiving 10625 citations. Previous affiliations of Annamari Tuulio-Henriksson include Helsinki University Central Hospital & National Institutes of Health.


Papers
More filters
Journal ArticleDOI
Hreinn Stefansson1, Hreinn Stefansson2, Roel A. Ophoff2, Roel A. Ophoff3, Roel A. Ophoff4, Stacy Steinberg1, Stacy Steinberg2, Ole A. Andreassen5, Sven Cichon6, Dan Rujescu7, Thomas Werge8, Olli Pietilainen9, Ole Mors10, Preben Bo Mortensen11, Engilbert Sigurdsson12, Omar Gustafsson1, Mette Nyegaard11, Annamari Tuulio-Henriksson13, Andres Ingason1, Thomas Hansen8, Jaana Suvisaari13, Jouko Lönnqvist13, Tiina Paunio, Anders D. Børglum11, Anders D. Børglum10, Annette M. Hartmann7, Anders Fink-Jensen8, Merete Nordentoft14, David M. Hougaard, Bent Nørgaard-Pedersen, Yvonne Böttcher1, Jes Olesen15, René Breuer16, Hans-Jürgen Möller7, Ina Giegling7, Henrik B. Rasmussen8, Sally Timm8, Manuel Mattheisen6, István Bitter17, János Réthelyi17, Brynja B. Magnusdottir12, Thordur Sigmundsson12, Pall I. Olason1, Gisli Masson1, Jeffrey R. Gulcher1, Magnús Haraldsson12, Ragnheidur Fossdal1, Thorgeir E. Thorgeirsson1, Unnur Thorsteinsdottir1, Unnur Thorsteinsdottir12, Mirella Ruggeri18, Sarah Tosato18, Barbara Franke19, Eric Strengman3, Lambertus A. Kiemeney19, Ingrid Melle5, Srdjan Djurovic5, Lilia I. Abramova20, Kaleda Vg20, Julio Sanjuán21, Rosa de Frutos21, Elvira Bramon22, Evangelos Vassos22, Gillian Fraser23, Ulrich Ettinger22, Marco Picchioni22, Nicholas Walker, T. Toulopoulou22, Anna C. Need24, Dongliang Ge24, Joeng Lim Yoon4, Kevin V. Shianna24, Nelson B. Freimer4, Rita M. Cantor4, Robin M. Murray22, Augustine Kong1, Vera Golimbet20, Angel Carracedo25, Celso Arango26, Javier Costas, Erik G. Jönsson27, Lars Terenius27, Ingrid Agartz27, Hannes Petursson12, Markus M. Nöthen6, Marcella Rietschel16, Paul M. Matthews28, Pierandrea Muglia29, Leena Peltonen9, David St Clair23, David Goldstein24, Kari Stefansson1, Kari Stefansson12, David A. Collier30, David A. Collier22 
06 Aug 2009-Nature
TL;DR: Findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.
Abstract: Schizophrenia is a complex disorder, caused by both genetic and environmental factors and their interactions. Research on pathogenesis has traditionally focused on neurotransmitter systems in the brain, particularly those involving dopamine. Schizophrenia has been considered a separate disease for over a century, but in the absence of clear biological markers, diagnosis has historically been based on signs and symptoms. A fundamental message emerging from genome-wide association studies of copy number variations (CNVs) associated with the disease is that its genetic basis does not necessarily conform to classical nosological disease boundaries. Certain CNVs confer not only high relative risk of schizophrenia but also of other psychiatric disorders. The structural variations associated with schizophrenia can involve several genes and the phenotypic syndromes, or the 'genomic disorders', have not yet been characterized. Single nucleotide polymorphism (SNP)-based genome-wide association studies with the potential to implicate individual genes in complex diseases may reveal underlying biological pathways. Here we combined SNP data from several large genome-wide scans and followed up the most significant association signals. We found significant association with several markers spanning the major histocompatibility complex (MHC) region on chromosome 6p21.3-22.1, a marker located upstream of the neurogranin gene (NRGN) on 11q24.2 and a marker in intron four of transcription factor 4 (TCF4) on 18q21.2. Our findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.

1,625 citations

Journal ArticleDOI
TL;DR: In this article, a nationally representative sample of 8028 persons 30 years or older was screened for psychotic and bipolar I disorders using the Composite International Diagnostic Interview, self-reported diagnoses, medical examination, and national registers.
Abstract: Context Recent general population surveys of psychotic disorders have found low lifetime prevalences. However, this may be owing to methodological problems. Few studies have reported the prevalences of all specific psychotic disorders. Objective To provide reliable estimates of the lifetime prevalences of specific psychotic disorders. Design General population survey. Setting and Participants A nationally representative sample of 8028 persons 30 years or older was screened for psychotic and bipolar I disorders using the Composite International Diagnostic Interview, self-reported diagnoses, medical examination, and national registers. Those selected by the screens were then reinterviewed with the Structured Clinical Interview for DSM-IV . Best-estimate DSM-IV diagnoses were formed by combining the interview and case note data. Register diagnoses were used to estimate the effect of the nonresponders. Main Outcome Measures Diagnosis of any psychotic or bipolar I disorder according to the DSM-IV criteria. Results The lifetime prevalence of all psychotic disorders was 3.06% and rose to 3.48% when register diagnoses of the nonresponder group were included. Lifetime prevalences were as follows: 0.87% for schizophrenia, 0.32% for schizoaffective disorder, 0.07% for schizophreniform disorder, 0.18% for delusional disorder, 0.24% for bipolar I disorder, 0.35% for major depressive disorder with psychotic features, 0.42% for substance-induced psychotic disorders, and 0.21% for psychotic disorders due to a general medical condition. The National Hospital Discharge Register was the most reliable of the screens (κ = 0.80). Case notes supplementing the interviews were essential for specific diagnoses of psychotic disorders. Conclusions Multiple sources of information are essential for accurate estimation of lifetime prevalences of psychotic disorders. The use of comprehensive methods reveals that their lifetime prevalence exceeds 3%.

1,302 citations

Journal ArticleDOI
TL;DR: The profile of cognitive dysfunction seems to depend on anxiety disorder subtype, but at least obsessive-compulsive disorder is associated with deficits in executive functioning and visual memory, and more research is needed to confirm and widen these findings.

651 citations

Journal ArticleDOI
TL;DR: It is concluded that NRXN1 deletions affecting exons confer risk of schizophrenia.
Abstract: Deletions within the neurexin 1 gene (NRXN1; 2p16.3) are associated with autism and have also been reported in two families with schizophrenia. We examined NRXN1, and the closely related NRXN2 and NRXN3 genes, for copy number variants (CNVs) in 2977 schizophrenia patients and 33 746 controls from seven European populations (Iceland, Finland, Norway, Germany, The Netherlands, Italy and UK) using microarray data. We found 66 deletions and 5 duplications in NRXN1, including a de novo deletion: 12 deletions and 2 duplications occurred in schizophrenia cases (0.47%) compared to 49 and 3 (0.15%) in controls. There was no common breakpoint and the CNVs varied from 18 to 420 kb. No CNVs were found in NRXN2 or NRXN3. We performed a Cochran-Mantel-Haenszel exact test to estimate association between all CNVs and schizophrenia (P = 0.13; OR = 1.73; 95% CI 0.81-3.50). Because the penetrance of NRXN1 CNVs may vary according to the level of functional impact on the gene, we next restricted the association analysis to CNVs that disrupt exons (0.24% of cases and 0.015% of controls). These were significantly associated with a high odds ratio (P = 0.0027; OR 8.97, 95% CI 1.8-51.9). We conclude that NRXN1 deletions affecting exons confer risk of schizophrenia.

469 citations

Journal ArticleDOI
TL;DR: It is suggested that there are multiple independently inherited dimensions of neural deficit in schizophrenia and a search for genes contributing to quantitative variation in discrete aspects of disease liability is encouraged.
Abstract: While genetic influences in schizophrenia are substantial, the disorder's molecular genetic basis remains elusive. Progress has been hindered by lack of means to detect nonpenetrant carriers of the predisposing genes and by uncertainties concerning the extent of locus heterogeneity. One approach to solving this complexity is to examine the inheritance of pathophysiological processes mediating between genotype and disease phenotype. Here we evaluate whether deficits in neurocognitive functioning covary with degree of genetic relationship with a proband in the unaffected MZ and DZ co-twins of patients with schizophrenia. Twin pairs discordant for schizophrenia were recruited from a total population cohort and were compared with a demographically balanced sample of control twin pairs, on a comprehensive neuropsychological test battery. The following four neuropsychological functions contributed uniquely to the discrimination of degree of genetic loading for schizophrenia and, when combined, were more highly correlated within MZ pairs than within DZ pairs, in both discordant and control twins: spatial working memory (i.e., remembering a sequence of spatial locations over a brief delay), divided attention (i.e., simultaneous performance of a counting and visual-search task), intrusions during recall of a word list (i.e., "remembering" nonlist items), and choice reaction time to visual targets. Together with evidence from human and animal studies of mediation of these functions by partially distinct brain systems, our findings suggest that there are multiple independently inherited dimensions of neural deficit in schizophrenia and encourage a search for genes contributing to quantitative variation in discrete aspects of disease liability. On tests of verbal and visual episodic memory, but not on the liability-related measures, patients were more impaired than their own MZ co-twins, suggesting a preferential impact of nongenetic influences on long-term memory systems.

372 citations


Cited by
More filters
Journal ArticleDOI
06 Jun 1986-JAMA
TL;DR: The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or her own research.
Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

7,563 citations

Journal ArticleDOI
Stephan Ripke1, Stephan Ripke2, Benjamin M. Neale2, Benjamin M. Neale1  +351 moreInstitutions (102)
24 Jul 2014-Nature
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
Abstract: Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many findings have the potential to provide entirely new insights into aetiology, but associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.

6,809 citations

Journal ArticleDOI
TL;DR: The authors discuss the etymology and strategy behind the use of endophenotypes in neuropsychiatric research and, more generally, in research on other diseases with complex genetics.
Abstract: Endophenotypes, measurable components unseen by the unaided eye along the pathway between disease and distal genotype, have emerged as an important concept in the study of complex neuropsychiatric diseases. An endophenotype may be neurophysiological, biochemical, endocrinological, neuroanatomical, cognitive, or neuropsychological (including configured self-report data) in nature. Endophenotypes represent simpler clues to genetic underpinnings than the disease syndrome itself, promoting the view that psychiatric diagnoses can be decomposed or deconstructed, which can result in more straightforward-and successful-genetic analysis. However, to be most useful, endophenotypes for psychiatric disorders must meet certain criteria, including association with a candidate gene or gene region, heritability that is inferred from relative risk for the disorder in relatives, and disease association parameters. In addition to furthering genetic analysis, endophenotypes can clarify classification and diagnosis and foster the development of animal models. The authors discuss the etymology and strategy behind the use of endophenotypes in neuropsychiatric research and, more generally, in research on other diseases with complex genetics.

5,321 citations

Journal ArticleDOI
Shaun Purcell1, Shaun Purcell2, Naomi R. Wray3, Jennifer Stone1, Jennifer Stone2, Peter M. Visscher, Michael Conlon O'Donovan4, Patrick F. Sullivan5, Pamela Sklar1, Pamela Sklar2, Douglas M. Ruderfer, Andrew McQuillin, Derek W. Morris6, Colm O'Dushlaine6, Aiden Corvin6, Peter Holmans4, Stuart MacGregor3, Hugh Gurling, Douglas Blackwood7, Nicholas John Craddock5, Michael Gill6, Christina M. Hultman8, Christina M. Hultman9, George Kirov4, Paul Lichtenstein8, Walter J. Muir7, Michael John Owen4, Carlos N. Pato10, Edward M. Scolnick2, Edward M. Scolnick1, David St Clair, Nigel Williams4, Lyudmila Georgieva4, Ivan Nikolov4, Nadine Norton4, Hywel Williams4, Draga Toncheva, Vihra Milanova, Emma Flordal Thelander8, Patrick Sullivan11, Elaine Kenny6, Emma M. Quinn6, Khalid Choudhury12, Susmita Datta12, Jonathan Pimm12, Srinivasa Thirumalai13, Vinay Puri12, Robert Krasucki12, Jacob Lawrence12, Digby Quested14, Nicholas Bass12, Caroline Crombie15, Gillian Fraser15, Soh Leh Kuan, Nicholas Walker, Kevin A. McGhee7, Ben S. Pickard16, P. Malloy7, Alan W Maclean7, Margaret Van Beck7, Michele T. Pato10, Helena Medeiros10, Frank A. Middleton17, Célia Barreto Carvalho10, Christopher P. Morley17, Ayman H. Fanous, David V. Conti10, James A. Knowles10, Carlos Ferreira, António Macedo18, M. Helena Azevedo18, Andrew Kirby1, Andrew Kirby2, Manuel A. R. Ferreira2, Manuel A. R. Ferreira1, Mark J. Daly2, Mark J. Daly1, Kimberly Chambert2, Finny G Kuruvilla2, Stacey Gabriel2, Kristin G. Ardlie2, Jennifer L. Moran2 
06 Aug 2009-Nature
TL;DR: The extent to which common genetic variation underlies the risk of schizophrenia is shown, using two analytic approaches, and the major histocompatibility complex is implicate, which is shown to involve thousands of common alleles of very small effect.
Abstract: Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%(1,2). We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.

4,573 citations