Literature DB >> 19855392

Microduplications of 16p11.2 are associated with schizophrenia.

Shane E McCarthy, Vladimir Makarov, George Kirov, Anjene M Addington, Jon McClellan, Seungtai Yoon, Diana O Perkins, Diane E Dickel, Mary Kusenda, Olga Krastoshevsky, Verena Krause, Ravinesh A Kumar, Detelina Grozeva, Dheeraj Malhotra, Tom Walsh, Elaine H Zackai, Paige Kaplan, Jaya Ganesh, Ian D Krantz, Nancy B Spinner, Patricia Roccanova, Abhishek Bhandari, Kevin Pavon, B Lakshmi, Anthony Leotta, Jude Kendall, Yoon-Ha Lee, Vladimir Vacic, Sydney Gary, Lilia M Iakoucheva, Timothy J Crow, Susan L Christian, Jeffrey A Lieberman, T Scott Stroup, Terho Lehtimäki, Kaija Puura, Chad Haldeman-Englert, Justin Pearl, Meredith Goodell, Virginia L Willour, Pamela Derosse, Jo Steele, Layla Kassem, Jessica Wolff, Nisha Chitkara, Francis J McMahon, Anil K Malhotra, James B Potash, Thomas G Schulze, Markus M Nöthen, Sven Cichon, Marcella Rietschel, Ellen Leibenluft, Vlad Kustanovich, Clara M Lajonchere, James S Sutcliffe, David Skuse, Michael Gill, Louise Gallagher, Nancy R Mendell, Nick Craddock, Michael J Owen, Michael C O'Donovan, Tamim H Shaikh, Ezra Susser, Lynn E Delisi, Patrick F Sullivan, Curtis K Deutsch, Judith Rapoport, Deborah L Levy, Mary-Claire King, Jonathan Sebat.   

Abstract

Recurrent microdeletions and microduplications of a 600-kb genomic region of chromosome 16p11.2 have been implicated in childhood-onset developmental disorders. We report the association of 16p11.2 microduplications with schizophrenia in two large cohorts. The microduplication was detected in 12/1,906 (0.63%) cases and 1/3,971 (0.03%) controls (P = 1.2 x 10(-5), OR = 25.8) from the initial cohort, and in 9/2,645 (0.34%) cases and 1/2,420 (0.04%) controls (P = 0.022, OR = 8.3) of the replication cohort. The 16p11.2 microduplication was associated with a 14.5-fold increased risk of schizophrenia (95% CI (3.3, 62)) in the combined sample. A meta-analysis of datasets for multiple psychiatric disorders showed a significant association of the microduplication with schizophrenia (P = 4.8 x 10(-7)), bipolar disorder (P = 0.017) and autism (P = 1.9 x 10(-7)). In contrast, the reciprocal microdeletion was associated only with autism and developmental disorders (P = 2.3 x 10(-13)). Head circumference was larger in patients with the microdeletion than in patients with the microduplication (P = 0.0007).

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Year:  2009        PMID: 19855392      PMCID: PMC2951180          DOI: 10.1038/ng.474

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


Rare structural mutations play an important role in schizophrenia. Recent studies have shown that the genome-wide burden of rare copy number variants (CNVs) is significantly greater in patients than in healthy controls 4-6. In addition, multiple structural variants have been implicated in schizophrenia. Seminal examples include the recurrent microdeletion of 22q11.2 7, and a balanced translocation disrupting the gene DISC1 8. More recently, recurrent microdeletions at 1q21.1, 15q13.3, 5,9 and 15q11.2 6,9 and copy number mutations at other genomic loci10-12 have been associated with schizophrenia in large cohorts. We previously reported two cases of childhood-onset schizophrenia (COS) with a 600 kb microduplication of 16p11.2 4. This region is a well documented hot spot for recurrent rearrangements in association with autism spectrum disorders and mental retardation 1-3, 13, 14. Genomic hotspots such as this are important candidate loci in genetic studies of schizophrenia. We tested the hypothesis that microduplications of 16p11.2 are associated with schizophrenia by analysis of microarray intensity data in a sample of 1906 cases and 3971 controls. Patients and controls were drawn from several different sources, as described in the supplemental note and supplementary table 1. Samples were analyzed with one of four microarray platforms (NimbleGen HD2, Affymetrix 6.0, Affymetrix 500K and ROMA 85K). Only the 16p11.2 region was examined. Thirteen microduplications and four microdeletions were detected in our primary sample using standard segmentation algorithms (Figure 1A, Supplementary Figure 1A). Microduplications were detected in 12/1906 cases (0.63%) and 1/3971 controls (0.03%), a statistically significant association (Table1, P = 1.2×10-5, OR = 25.8 [3.3, 199]).
Figure 1

Microduplications and microdeletions at 16p11.2 in persons with schizophrenia and controls

(A) 16p11.2 rearrangements were detected in a primary sample of 1906 cases and 3971 controls (Panels A, B, C, D) and a replication sample of 2645 cases and 2420 controls (Panel A, E). The single microduplication and three microdeletions detected in the primary control set are presented based on the Affymetrix 500K coordinates (hg18). All other CNVs were validated in the NimbleGen HD2 platform and are illustrated based on the validation coordinates (Panels B, C, D, E) The median z-score for the 535kb 16p11.2 target region is plotted on the X-axis and the median z-score of flanking invariant probes is plotted on the Y-axis. Data are presented separately for the ROMA (B), Affymetrix500K (C), NimbleGen HD2 (D), and (Affymetrix 6.0 (E) platforms. CNVs were called using thresholds of >2 SD for ROMA and >1 SD for all other platforms (). MeZOD and the HMM algorithms detected the same deletions and duplications at 16p11.2.

Table 1

Duplications and deletions at 16p11.2 among persons with schizophrenia and controls

Series
Diagnosis
Subjects
Deletions
Duplications
N
N
%
N
%
OR[95% C.I.]
P-Value
Primary
Schizophrenia190610.05120.6325.8 [3.3,199]1.2×10-5
Controls397130.0810.03
Replication
Schizophrenia264500.0090.348.3 [1.3, 50.5]0.022
Controls242010.0410.04
Combined
Schizophrenia587710.02210.3614.5 [3.3, 62.0]4.3×10-5
Controls639140.0620.03

In the primary sample, which consisted of patients and controls genotyped using one of 3 microarray platforms, association was calculated using the Cochran-Mantel-Haenszel exact test using array type as a stratifying variable. Combined odds ratio estimates and 95% confidence intervals were calculated using a logistic regression with disease group and array-type as factors. In the replication sample, which consisted of patients and controls assessed on a single microarray platform, association was calculated using a Fisher’s exact test. Deletions did not show a significant association with schizophrenia or in controls.

In a subset of individuals evaluated at Cold Spring Harbor Laboratory, consisting of 1352 cases and 1179 controls, CNV calls were verified by MeZOD, an independent CNV genotyping algorithm that identifies outliers in the sample based on the median probe Z-score of the target region. These results are illustrated in Figure 1 as cluster plots. All microduplications and microdeletions detected in the combined sample were experimentally validated using an independent microarray platform (Supplementary Table 2). In order to replicate this association, we evaluated the 16p11.2 region using microarray data (Affymetrix 6.0 platform) from an independent sample of 2645 schizophrenia cases and 2420 controls. These data were collected as part of a case-control study of schizophrenia supported by the Genetic Association Information Network (GAIN, phs000021.v2.p1). We detected ten duplications and one deletion using standard HMM calling algorithms (Figure 1A). The same events were also detected using MeZOD (Figure 1E). All 16p11.2 rearrangements were validated by an independent microarray platform (Supplementary Table 2). The microduplication was detected in 9/2645 cases and 1/2420 controls, a significant association (P = 0.022, OR=8.3 [1.3, 50.5]). The odds ratios in our primary and replication datasets were not significantly different (Breslow-Day-Tarone test P = 0.46). Thus, our initial result was replicated in an independent sample. For the combined sample, the association of schizophrenia with microduplication at 16p11.2 was highly significant (P=4.3×10-7, OR=14.5 [3.3,62]). Sex of the subject did not have a significant effect on the association (Supplementary Note) Our present findings, and those from previous studies1-3, 13, 14, suggest that mutations at 16p11.2 confer high risk for schizophrenia and for other neuropsychiatric disorders. Clinical variability associated with the 16p11.2 microduplication is evident from the heterogeneity of psychiatric diagnoses among microduplication carriers in five families in our series (Supplementary Figure 2). In these families, ten relatives carried the microduplication found in the proband. The diagnoses of these relatives were: schizophrenia (N=3), bipolar disorder (N=1), depression (N=2), psychosis signs not otherwise specified (N=1), and no mental illness (N=3). We were able to determine the parent of origin in four families, and in all cases the microduplications were inherited from a non-schizophrenic parent. The observations in these few families suggest that penetrance of the duplication is incomplete, though substantial (perhaps 30-50%), and that expression is highly variable. In order to more precisely define the spectrum of psychiatric phenotypes associated with rearrangements of 16p11.2, we performed a meta-analysis of data on schizophrenia, bipolar disorder, and childhood developmental disorders (combining autism and global developmental delays). We integrated data from this study with four publicly available datasets 1,3,5, 15 to generate a combined sample of 8590 individuals with schizophrenia, 2172 with developmental delay or autism, 4822 with bipolar disorder, and 30,492 controls (Supplementary Note, Supplementary Table 3). In this combined sample, the microduplication of 16p11.2 was strongly associated with schizophrenia (Table 2, OR = 8.4 [2.8, 25.4], P = 4.8×10-7) and autism (OR = 20.7 [6.9, 61.7], P = 1.9×10-7). The association with bipolar disorder was also significant (OR = 4.3 [1.3; 14.5], P = 0.017). The reciprocal microdeletion of 16p11.2 was strongly associated with developmental delay or autism (OR = 38.7 [13.4, 111.8], P = 2.3×10-13), as reported previously1-3. However, the deletion was not associated with schizophrenia or bipolar disorder (Supplementary Note). These results suggest that the microduplication is associated with multiple psychiatric phenotypes, whereas the reciprocal microdeletion is more specifically associated with developmental delay and autism.
Table 2

Meta-analysis of 16p11.2 rearrangements in schizophrenia, autism and developmental delay, and bipolar disorder

Diagnosis
Subjects
Deletions
Duplications
N
N
%
OR[95% C.I.]
P-Value
N
%
OR[95% C.I.]
P-Value
Schizophrenia859030.03NC*260.308.4 [2.8, 25.4]4.8×10-7
Controls2840690.0380.03
Autism or Developmental Delay2172170.7838.7 [13.4,111.8]2.3×10-13100.4620.7 [6.9,61.7]1.9×10-7
Controls2489150.0260.02
Bipolar Disorder482240.08NC*60.124.3 [1.3; 14.5]0.017
Controls2522560.0270.03

Not calculated (NC) because significant heterogeneity among studies was detected by the Breslow-Day Tarone test. The partial odds ratios [95%CI] for the deletion in schizophrenia were 0.69 [0.1, 4.9], 0.3 [0.05, 2.2], 14.6 [1.9, 111.2], and 0.3 [0.03, 3.7] and partial odds ratios for the deletion in bipolar disorder were 0.3[0.03,3.3], 0.55[0.05,6.7], 25[5.4,117] in this study, the GAIN study and the Weiss et al. studies, respectively.

Data from four studies reporting microduplications and microdeletions of 16p11.2 in schizophrenia, autism and/or bipolar disorder were combined with data from the Primary Sample to assess the relative strength of the association of each variant with each disorder. Associations were calculated using the Cochran-Mantel-Haenszel exact test, using source as a stratifying variable. Combined odds ratio estimates and confidence intervals were calculated from logistic regression with disease group and source (study) as factors.

We explored the association of 16p11.2 microduplications and microdeletions with two clinical measures, head circumference and height. Available data were compiled from 32 patients with 16p11.2 mutations who had a diagnosis of schizophrenia, autism spectrum disorder or developmental delay (Supplementary Note, Supplementary Tables 4 and references 13, 16). Z-scores for head circumference and height were calculated using standard growth charts from the Centers for Disease Control. Head circumference was greater among 23 patients with microdeletions relative to 9 patients with microduplications (Supplementary Table 5). The mean orbital frontal circumference (OFC) values of patients with microdeletions and microduplications were 1.25 and -0.28, respectively (two-tailed Wilcoxon Rank Sum Test P = 0.0007). In addition, mean head circumference of the microdeletion group was significantly greater than the population mean (P = 0.0001), whereas the mean head circumference of the microduplication group was not statistically significant (P = 0.29). The association between the 16p11.2 microdeletion and larger head circumference was observed in multiple diagnostic categories and was not specifically attributable to patients with autism (Supplemental Table 5). The microduplication and microdeletion groups did not differ significantly in height. Microduplication of 16p11.2 is associated with increased risk of schizophrenia between 8 and 24-fold. This region joins a growing list of genomic hotspots that confer high risk for the disorder. The odds ratios in our series for the 16p11.2 microduplication and schizophrenia are comparable to odds ratios for deletions at other schizophrenia-associated genes and regions. Deletions of 1q21.1, 15q13.3, and NRXN1 have reported odds ratios ranging from 7 to 18 5,9,10. Previous genome-wide studies of copy number variation did not find a significant association with the microduplication of 16p11.2 and schizophrenia. This event is rare, and its appearance in a cohort may be influenced by several factors, including resolution of the detection platform, methods of analysis, and chance. In the International Schizophrenia Consortium (ISC) study 5, microduplications spanning >50% of the 16p11.2 region were detected in 5/3391 cases and 1/3181 controls. These results are consistent with our findings, but the association did not meet the criteria for genome-wide significance in that study. In the SGENE consortium study of schizophrenia 9, the 16p11.2 microduplication was not selected as a candidate because the event was not observed in the initial phase of that study as a de novo mutation, which was the key criterion for inclusion in the association analyses. Microduplication at 16p11.2 is associated with multiple neuropsychiatric phenotypes. Phenotypic heterogeneity has been observed for virtually all structural variants associated with schizophrenia. For example, in a large Scottish pedigree harboring a translocation disrupting DISC1, translocation carriers had diagnoses of schizophrenia, bipolar disorder, major depressive disorder, or no mental illness 8. Similarly, microdeletions of 1q21.117,18, 15q13.319, 22q11.2 20, and neurexin-1 21,22 10,12 are associated with adult psychiatric disorders and with autism and other pediatric neurodevelopmental disorders. The association between the 16p11.2 microdeletion and increased head circumference is interesting given that the microdeletion appears specific to autism and developmental delay. Several studies have found increased head circumference in patients with autism 23-30, leading to the suggestion that early brain overgrowth may be a key neurobiological mechanism in the disorder 31. A recent study has shown that microdeletions and microduplications of 1q21.1 are associated with microcephaly and macrocephaly respectively18. Taken together, these studies suggest that some mutations underlying neurodevelopmental disorders may also lead to changes in brain volume. The 16p11.2 microduplication spans a region of approximately 600kb containing 28 genes (Supplementary Figure 1B), including multiple genes with potential roles in neurodevelopment. At least 17 of the 28 genes are expressed in the mammalian brain (Supplementary Table 6). Behavioral features have been reported in mouse knockout models of Mapk3 -/- Doc2a-/-and Sez6/2-/- 32-34. Further studies are needed in order to identify the specific gene or genes in this region for which dosage effects contribute to increased risk for psychiatric and neurodevelopmental disorders. Our findings further strengthen the evidence demonstrating a role for rare mutations in schizophrenia 4-6,9. Collectively, these studies demonstrate that schizophrenia is characterized by marked genetic heterogeneity. The 16p11.2 locus by itself accounts for only a small fraction of the illness. At the same time, duplication of this region confers substantial risk to the individuals who carry it. The fact that a single mutation is rare does not negate its potential relevance to the broader patient population. The collective effect of rare mutations at many different loci may account for a substantial proportion of affected individuals 4,5. Furthermore, the microduplication of 16p11.2 and rare mutations at other loci will likely impact overlapping neurobiological pathways. Characterizing these critical brain processes will contribute substantially to our understanding of the origins of schizophrenia and provide important targets for treatment development.
  39 in total

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Authors:  Andrew J Sharp; Sierra Hansen; Rebecca R Selzer; Ze Cheng; Regina Regan; Jane A Hurst; Helen Stewart; Sue M Price; Edward Blair; Raoul C Hennekam; Carrie A Fitzpatrick; Rick Segraves; Todd A Richmond; Cheryl Guiver; Donna G Albertson; Daniel Pinkel; Peggy S Eis; Stuart Schwartz; Samantha J L Knight; Evan E Eichler
Journal:  Nat Genet       Date:  2006-08-13       Impact factor: 38.330

Review 2.  Mapping early brain development in autism.

Authors:  Eric Courchesne; Karen Pierce; Cynthia M Schumann; Elizabeth Redcay; Joseph A Buckwalter; Daniel P Kennedy; John Morgan
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3.  Integrated detection and population-genetic analysis of SNPs and copy number variation.

Authors:  Steven A McCarroll; Finny G Kuruvilla; Joshua M Korn; Simon Cawley; James Nemesh; Alec Wysoker; Michael H Shapero; Paul I W de Bakker; Julian B Maller; Andrew Kirby; Amanda L Elliott; Melissa Parkin; Earl Hubbell; Teresa Webster; Rui Mei; James Veitch; Patrick J Collins; Robert Handsaker; Steve Lincoln; Marcia Nizzari; John Blume; Keith W Jones; Rich Rava; Mark J Daly; Stacey B Gabriel; David Altshuler
Journal:  Nat Genet       Date:  2008-09-07       Impact factor: 38.330

4.  Head circumference in autism and other pervasive developmental disorders.

Authors:  W Woodhouse; A Bailey; M Rutter; P Bolton; G Baird; A Le Couteur
Journal:  J Child Psychol Psychiatry       Date:  1996-09       Impact factor: 8.982

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Authors:  M G Butler; M J Dasouki; X-P Zhou; Z Talebizadeh; M Brown; T N Takahashi; J H Miles; C H Wang; R Stratton; R Pilarski; C Eng
Journal:  J Med Genet       Date:  2005-04       Impact factor: 6.318

6.  Schizophrenia susceptibility associated with interstitial deletions of chromosome 22q11.

Authors:  M Karayiorgou; M A Morris; B Morrow; R J Shprintzen; R Goldberg; J Borrow; A Gos; G Nestadt; P S Wolyniec; V K Lasseter
Journal:  Proc Natl Acad Sci U S A       Date:  1995-08-15       Impact factor: 11.205

7.  Rare structural variants disrupt multiple genes in neurodevelopmental pathways in schizophrenia.

Authors:  Tom Walsh; Jon M McClellan; Shane E McCarthy; Anjené M Addington; Sarah B Pierce; Greg M Cooper; Alex S Nord; Mary Kusenda; Dheeraj Malhotra; Abhishek Bhandari; Sunday M Stray; Caitlin F Rippey; Patricia Roccanova; Vlad Makarov; B Lakshmi; Robert L Findling; Linmarie Sikich; Thomas Stromberg; Barry Merriman; Nitin Gogtay; Philip Butler; Kristen Eckstrand; Laila Noory; Peter Gochman; Robert Long; Zugen Chen; Sean Davis; Carl Baker; Evan E Eichler; Paul S Meltzer; Stanley F Nelson; Andrew B Singleton; Ming K Lee; Judith L Rapoport; Mary-Claire King; Jonathan Sebat
Journal:  Science       Date:  2008-03-27       Impact factor: 47.728

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Authors:  Hyung-Goo Kim; Shotaro Kishikawa; Anne W Higgins; Ihn-Sik Seong; Diana J Donovan; Yiping Shen; Eric Lally; Lauren A Weiss; Juliane Najm; Kerstin Kutsche; Maria Descartes; Lynn Holt; Stephen Braddock; Robin Troxell; Lee Kaplan; Fred Volkmar; Ami Klin; Katherine Tsatsanis; David J Harris; Ilse Noens; David L Pauls; Mark J Daly; Marcy E MacDonald; Cynthia C Morton; Bradley J Quade; James F Gusella
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

9.  Recurrent reciprocal 1q21.1 deletions and duplications associated with microcephaly or macrocephaly and developmental and behavioral abnormalities.

Authors:  Nicola Brunetti-Pierri; Jonathan S Berg; Fernando Scaglia; John Belmont; Carlos A Bacino; Trilochan Sahoo; Seema R Lalani; Brett Graham; Brendan Lee; Marwan Shinawi; Joseph Shen; Sung-Hae L Kang; Amber Pursley; Timothy Lotze; Gail Kennedy; Susan Lansky-Shafer; Christine Weaver; Elizabeth R Roeder; Theresa A Grebe; Georgianne L Arnold; Terry Hutchison; Tyler Reimschisel; Stephen Amato; Michael T Geragthy; Jeffrey W Innis; Ewa Obersztyn; Beata Nowakowska; Sally S Rosengren; Patricia I Bader; Dorothy K Grange; Sayed Naqvi; Adolfo D Garnica; Saunder M Bernes; Chin-To Fong; Anne Summers; W David Walters; James R Lupski; Pawel Stankiewicz; Sau Wai Cheung; Ankita Patel
Journal:  Nat Genet       Date:  2008-12       Impact factor: 38.330

10.  Disruption of the neurexin 1 gene is associated with schizophrenia.

Authors:  Dan Rujescu; Andres Ingason; Sven Cichon; Olli P H Pietiläinen; Michael R Barnes; Timothea Toulopoulou; Marco Picchioni; Evangelos Vassos; Ulrich Ettinger; Elvira Bramon; Robin Murray; Mirella Ruggeri; Sarah Tosato; Chiara Bonetto; Stacy Steinberg; Engilbert Sigurdsson; Thordur Sigmundsson; Hannes Petursson; Arnaldur Gylfason; Pall I Olason; Gudmundur Hardarsson; Gudrun A Jonsdottir; Omar Gustafsson; Ragnheidur Fossdal; Ina Giegling; Hans-Jürgen Möller; Annette M Hartmann; Per Hoffmann; Caroline Crombie; Gillian Fraser; Nicholas Walker; Jouko Lonnqvist; Jaana Suvisaari; Annamari Tuulio-Henriksson; Srdjan Djurovic; Ingrid Melle; Ole A Andreassen; Thomas Hansen; Thomas Werge; Lambertus A Kiemeney; Barbara Franke; Joris Veltman; Jacobine E Buizer-Voskamp; Chiara Sabatti; Roel A Ophoff; Marcella Rietschel; Markus M Nöthen; Kari Stefansson; Leena Peltonen; David St Clair; Hreinn Stefansson; David A Collier
Journal:  Hum Mol Genet       Date:  2008-10-22       Impact factor: 6.150

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Journal:  J Hum Genet       Date:  2018-12-05       Impact factor: 3.172

2.  Rare copy number variants in tourette syndrome disrupt genes in histaminergic pathways and overlap with autism.

Authors:  Thomas V Fernandez; Stephan J Sanders; Ilana R Yurkiewicz; A Gulhan Ercan-Sencicek; Young-Shin Kim; Daniel O Fishman; Melanie J Raubeson; Youeun Song; Katsuhito Yasuno; Winson S C Ho; Kaya Bilguvar; Joseph Glessner; Su Hee Chu; James F Leckman; Robert A King; Donald L Gilbert; Gary A Heiman; Jay A Tischfield; Pieter J Hoekstra; Bernie Devlin; Hakon Hakonarson; Shrikant M Mane; Murat Günel; Matthew W State
Journal:  Biol Psychiatry       Date:  2011-12-14       Impact factor: 13.382

Review 3.  Cell biology of the BLOC-1 complex subunit dysbindin, a schizophrenia susceptibility gene.

Authors:  Ariana P Mullin; Avanti Gokhale; Jennifer Larimore; Victor Faundez
Journal:  Mol Neurobiol       Date:  2011-04-26       Impact factor: 5.590

Review 4.  CNVs: harbingers of a rare variant revolution in psychiatric genetics.

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5.  Clan genomics and the complex architecture of human disease.

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7.  Genome-wide transcriptome profiling reveals the functional impact of rare de novo and recurrent CNVs in autism spectrum disorders.

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Review 8.  Genome-wide approaches to schizophrenia.

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