Jouko Lönnqvist
University of Helsinki
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Featured researches published by Jouko Lönnqvist.
Nature | 2008
Hreinn Stefansson; Dan Rujescu; Sven Cichon; Olli Pietiläinen; Andres Ingason; Stacy Steinberg; Ragnheidur Fossdal; Engilbert Sigurdsson; T. Sigmundsson; Jacobine E. Buizer-Voskamp; Thomas V O Hansen; Klaus D. Jakobsen; Pierandrea Muglia; Clyde Francks; Paul M. Matthews; Arnaldur Gylfason; Bjarni V. Halldórsson; Daniel F. Gudbjartsson; Thorgeir E. Thorgeirsson; Asgeir Sigurdsson; Adalbjorg Jonasdottir; Aslaug Jonasdottir; Asgeir Björnsson; Sigurborg Mattiasdottir; Thorarinn Blondal; Magnus Haraldsson; Brynja B. Magnusdottir; Ina Giegling; Hans-Jürgen Möller; Annette M. Hartmann
Reduced fecundity, associated with severe mental disorders, places negative selection pressure on risk alleles and may explain, in part, why common variants have not been found that confer risk of disorders such as autism, schizophrenia and mental retardation. Thus, rare variants may account for a larger fraction of the overall genetic risk than previously assumed. In contrast to rare single nucleotide mutations, rare copy number variations (CNVs) can be detected using genome-wide single nucleotide polymorphism arrays. This has led to the identification of CNVs associated with mental retardation and autism. In a genome-wide search for CNVs associating with schizophrenia, we used a population-based sample to identify de novo CNVs by analysing 9,878 transmissions from parents to offspring. The 66 de novo CNVs identified were tested for association in a sample of 1,433 schizophrenia cases and 33,250 controls. Three deletions at 1q21.1, 15q11.2 and 15q13.3 showing nominal association with schizophrenia in the first sample (phase I) were followed up in a second sample of 3,285 cases and 7,951 controls (phase II). All three deletions significantly associate with schizophrenia and related psychoses in the combined sample. The identification of these rare, recurrent risk variants, having occurred independently in multiple founders and being subject to negative selection, is important in itself. CNV analysis may also point the way to the identification of additional and more prevalent risk variants in genes and pathways involved in schizophrenia.
Nature | 2009
Hreinn Stefansson; Roel A. Ophoff; Stacy Steinberg; Ole A. Andreassen; Sven Cichon; Dan Rujescu; Thomas Werge; Olli Pietiläinen; Ole Mors; Preben Bo Mortensen; Engilbert Sigurdsson; Omar Gustafsson; Mette Nyegaard; Annamari Tuulio-Henriksson; Andres Ingason; Thomas Hansen; Jaana Suvisaari; Jouko Lönnqvist; Tiina Paunio; Anders D. Børglum; Annette M. Hartmann; Anders Fink-Jensen; Merete Nordentoft; David M. Hougaard; Bent Nørgaard-Pedersen; Yvonne Böttcher; Jes Olesen; René Breuer; Hans-Jürgen Möller; Ina Giegling
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.
Nature Neuroscience | 2001
Paul M. Thompson; Tyrone D. Cannon; Katherine L. Narr; Theo G.M. van Erp; Veli-Pekka Poutanen; Matti O. Huttunen; Jouko Lönnqvist; Carl-Gustaf Standertskjöld-Nordenstam; Jaakko Kaprio; Mohammad Khaledy; Rajneesh Dail; Chris I. Zoumalan; Arthur W. Toga
Here we report on detailed three-dimensional maps revealing how brain structure is influenced by individual genetic differences. A genetic continuum was detected in which brain structure was increasingly similar in subjects with increasing genetic affinity. Genetic factors significantly influenced cortical structure in Brocas and Wernickes language areas, as well as frontal brain regions (r2MZ > 0.8, p < 0.05). Preliminary correlations were performed suggesting that frontal gray matter differences may be linked to Spearmans g, which measures successful test performance across multiple cognitive domains (p < 0.05). These genetic brain maps reveal how genes determine individual differences, and may shed light on the heritability of cognitive and linguistic skills, as well as genetic liability for diseases that affect the human cortex.
Human Molecular Genetics | 2009
Dan Rujescu; Andres Ingason; Sven Cichon; Olli Pietiläinen; Michael R. Barnes; Timothea Toulopoulou; Marco Picchioni; Evangelos Vassos; Ulrich Ettinger; Elvira Bramon; Robin M. Murray; Mirella Ruggeri; Sarah Tosato; Chiara Bonetto; Stacy Steinberg; Engilbert Sigurdsson; T. Sigmundsson; Hannes Petursson; Arnaldur Gylfason; Pall Olason; Gudmundur Hardarsson; Gudrun A Jonsdottir; Omar Gustafsson; Ragnheidur Fossdal; Ina Giegling; Hans-Jürgen Möller; Annette M. Hartmann; Per Hoffmann; Caroline Crombie; Gillian M. Fraser
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.
Social Psychiatry and Psychiatric Epidemiology | 2005
Sami Pirkola; Erkki Isometsä; Jaana Suvisaari; Hillevi Aro; Matti Joukamaa; Kari Poikolainen; Seppo Koskinen; Arpo Aromaa; Jouko Lönnqvist
BackgroundInformation on prevalence, accumulation and variation of common mental disorders is essential for both etiological research and development of mental health service systems.MethodsA representative sample (6005) of Finland’s general adult (≥ 30 years) population was interviewed in the period 2000–2001 with the CIDI for presence of DSM-IV mental disorders during the last 12 months in the comprehensive, multidisciplinary Health 2000 project.ResultsDepressive-, alcohol use- and anxiety disorders were found in 6.5%, 4.5 % and 4.1% of the subjects, respectively. A comorbid disorder was present in 19% of those with any disorder. Males had more alcohol use disorders (7.3 % vs. 1.4 %) and females more depressive disorders (8.3 % vs. 4.6 %). Older age, marriage and employment predicted lower prevalence of mental disorders and their comorbidity. Prevalences of alcohol use- and comorbid disorders were higher in the Helsinki metropolitan area, and depressive disorders in northern Finland.ConclusionsMental disorders and their comorbidities are distributed unevenly between sexes and age groups, are particularly associated with marital and employment status, and vary by region. There appears to be no single population subgroup at high risk for all mental disorders, but rather several different subgroups at risk for particular disorders or comorbidity patterns.
American Journal of Human Genetics | 1999
Iiris Hovatta; Teppo Varilo; Jaana Suvisaari; Joseph D. Terwilliger; Vesa Ollikainen; Ritva Arajärvi; Hannu Juvonen; Marja-Liisa Kokko-Sahin; Leena Väisänen; Heikki Mannila; Jouko Lönnqvist; Leena Peltonen
Schizophrenia is a severe mental disorder affecting approximately 1% of the worlds population. Here, we report the results from a three-stage genomewide screen performed in a study sample from an internal isolate of Finland. An effort was made to identify genes predisposing for schizophrenia that are potentially enriched in this isolate, which has an exceptionally high lifetime risk for this trait. Ancestors of the local families with schizophrenia were traced back to the foundation of the population in the 17th century. This genealogical information was used as the basis for the study strategy, which involved screening for alleles shared among affected individuals originating from common ancestors. We found four chromosomal regions with markers revealing pairwise LOD scores>1.0: 1q32.2-q41 (Z(max)=3.82, dominant affecteds-only model), 4q31 (Z(max)=2. 74, dominant 90%-penetrance model), 9q21 (Z(max)=1.95, dominant 90%-penetrance model), and Xp11.4-p11.3 (Z(max)=2.01, recessive 90%-penetrance model). This finding suggests that there are several putative loci predisposing to schizophrenia, even in this isolate.
BMJ | 2006
Jari Tiihonen; Kristian Wahlbeck; Jouko Lönnqvist; Timo Klaukka; John P. A. Ioannidis; Jan Volavka; Jari Haukka
Abstract Objective To study the association between prescribed antipsychotic drugs and outcome in schizophrenia or schizoaffective disorder in the community. Design Prospective cohort study using national central registers. Setting Community care in Finland. Participants Nationwide cohort of 2230 consecutive adults hospitalised in Finland for the first time because of schizophrenia or schizoaffective disorder, January 1995 to December 2001. Main outcome measures Rates of discontinuation of drugs (all causes), rates of rehospitalisation, and mortality associated with monotherapy with the 10 most commonly used antipsychotic drugs. Multivariate models and propensity score methods were used to adjust estimates of effectiveness. Results Initial use of clozapine (adjusted relative risk 0.17, 95% confidence interval 0.10 to 0.29), perphenazine depot (0.24, 0.13 to 0.47), and olanzapine (0.35, 0.18 to 0.71) were associated with the lowest rates of discontinuation for any reason when compared with oral haloperidol. During an average follow-up of 3.6 years, 4640 cases of rehospitalisation were recorded. Current use of perphenazine depot (0.32, 0.22 to 0.49), olanzapine (0.54, 0.41 to 0.71), and clozapine (0.64, 0.48 to 0.85) were associated with the lowest risk of rehospitalisation. Use of haloperidol was associated with a poor outcome among women. Mortality was markedly raised in patients not taking antipsychotics (12.3, 6.0 to 24.1) and the risk of suicide was high (37.4, 5.1 to 276). Conclusions The effectiveness of first and second generation antipsychotics varies greatly in the community. Patients treated with perphenazine depot, clozapine, or olanzapine have a substantially lower risk of rehospitalisation or discontinuation (for any reason) of their initial treatment than do patients treated with haloperidol. Excess mortality is seen mostly in patients not using antipsychotic drugs.
Quality of Life Research | 2006
Samuli I. Saarni; Tommi Härkänen; Harri Sintonen; Jaana Suvisaari; Seppo Koskinen; Arpo Aromaa; Jouko Lönnqvist
BackgroundHealth-related quality of life (HRQoL) is an essential outcome of health care, but there is no gold standard of HRQoL measurement. We investigated the impact of major chronic conditions on HRQoL using 15D and EQ-5D in a representative sample of Finns.MethodsInformation on chronic somatic conditions was obtained by interviews. Psychiatric disorders were diagnosed using a structured interview (M-CIDI). Tobit and CLAD regression analysis was used to estimate the impact of conditions on HRQoL at the individual and population level.Main resultsAdjusted for other conditions and sociodemographic variables, Parkinson’s disease had the largest negative impact on HRQoL at the individual level, followed by anxiety disorders, depressive disorders and arthrosis of the hip and knee. Based on prevalence, arthrosis of the hip or knee, depression, back problems and urinary incontinence caused the greatest loss of HRQoL at the population level. The results obtained with the two HRQoL measures differed markedly for some conditions and the EQ-5D results also varied with the regression method used.ConclusionsMusculoskeletal disorders are associated with largest losses of HRQoL in the Finnish population, followed by psychiatric conditions. Different HRQoL measures may systematically emphasize different conditions.
Schizophrenia Research | 2003
Laura T. Niemi; Jaana Suvisaari; Annamari Tuulio-Henriksson; Jouko Lönnqvist
According to cohort studies, individuals who develop schizophrenia in adulthood show developmental abnormalities in childhood. These include delays in attainment of speech and motor milestones, problems in social adjustment, and poorer academic and cognitive performance. Another method of investigating developmental abnormalities associated with schizophrenia is the high-risk (HR) method, which follows up longitudinally the development of children at high risk for schizophrenia. Most HR studies have investigated children who have a parent with schizophrenia. This review summarizes findings concerning childhood and adolescent development from 16 HR studies and compares them with findings from cohort, conscript, and family studies. We specifically addressed two questions: (1) Does the development of HR children differ from that of control children? (2) Which developmental factors, if any, predict the development of schizophrenia-spectrum disorders in adulthood? While the answer to the first question is affirmative, there may be other mechanisms involved in addition to having a parent with schizophrenia. Factors which appear to predict schizophrenia include problems in motor and neurological development, deficits in attention and verbal short-term memory, poor social competence, positive formal thought disorder-like symptoms, higher scores on psychosis-related scales in the MMPI, and severe instability of early rearing environment.
Biological Psychiatry | 2003
David C. Glahn; Sebastian Therman; Marko Manninen; Matti O. Huttunen; Joakko Kaprio; Jouko Lönnqvist; Tyrone D. Cannon
BACKGROUND Spatial working memory impairments are among the neurocognitive deficits that may mark genetic predisposition toward schizophrenia. We previously reported that impairment on the spatial span subtask of the Wechsler Adult Intelligence Scale-Revised increased in a dose-dependent manner with increasing genetic predisposition toward schizophrenia in a sample of discordant twins; however, it remains to be determined whether these deficits reflect difficulties with encoding, maintenance, manipulation, time-tagging of visual spatial information, storage capacity, or complex motor response. METHODS We developed a spatial delayed response task in which memory set size was parametrically varied, holding constant manipulation and decision processes. We then reassessed 80 of the previously studied twins (17 probands with 8 monozygotic co-twins and 13 dizygotic co-twins, and 42 healthy twins). RESULTS The spatial delayed response task was sensitive to genetic loading for schizophrenia but did not provide evidence for capacity limitations in probands or their co-twins. CONCLUSIONS The findings suggest that deficits in the encoding or storage aspects of short-term spatial mnemonic processing may be an effective endophenotypic marker for schizophrenia.