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Abstract
Linkage studies have defined at least five bipolar (BP) disorder susceptibility loci that meet suggested guidelines for initial identification and subsequent confirmation. These loci, found on 18p11, 18q22, 21q21, 4p16, and Xq26, are targets for BP candidate gene investigations. Molecular dissection of expressed sequences for these regions is likely to yield specific BP susceptibility alleles in most cases, in all probability, these BP susceptibility alleles will be common in the general population, and, individually, will be neither necessary nor sufficient for manifestation syndrome. Additive or multiplicative oligogenic models involving several susceptibility loci appear most reasonable at present, it is hoped thai these BP susceptibility genes will increase understanding of many mysteries surrounding these disorders, including drug response, cycling patterns, age-of-onset, and modes of transmission.
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Affiliation(s)
- W H Berrettini
- The department of Psychiatry and the Center for Neurobiology and Behavior, University of Pennsylvania, USA
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2
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Abstract
OBJECTIVE Bipolar disorder (BD) II is characterized by recurrent hypomanic and depressive episodes and has been somewhat of a controversial diagnosis since its description in the 1970s. Clinical opinions notwithstanding, the biological validity of BD II was supported in a genetic study of 58 multiplex bipolar families wherein the statistical evidence for linkage derived from BD II sibling-pairs sharing marker alleles on chromosome 18q. The BD II phenotype alone has never been studied in a genome-wide scan analysis in the current or other bipolar family samples. We have performed genome-wide non-parametric analysis on 74 bipolar pedigrees using only the BD II phenotype as affection model. METHODS This sample consists of the 65 pedigrees previously reported and 9 additional novel pedigrees that had BD II exclusively, as the affected phenotype. In the entire sample, there were 146 all possible relative-pairs. Analysis was performed using the non-parametric method in GENEHUNTER, with the 'ALL' option that computes linkage scores in all individuals in a pedigree simultaneously. RESULTS The current analyses supported the previous finding on chromosome 18q21. In addition a peak with a non-parametric LOD (NPL) of 2.07 occurred between D9S915 and D9S2157, located on 9q34. Analysis of the nine BD II families alone identified peaks on 9p13 and 9q33, with NPL scores of 3.20 and 2.09, respectively. There was no evidence at 18q21 in these nine families. CONCLUSIONS This suggests that there may be substantial differences in the etiology of BD in families that have BD II exclusively as the diagnosis.
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Affiliation(s)
- Evaristus A Nwulia
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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3
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Berrettini W. Evidence for shared susceptibility in bipolar disorder and schizophrenia. AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2004; 123C:59-64. [PMID: 14601037 DOI: 10.1002/ajmg.c.20014] [Citation(s) in RCA: 148] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This article reviews evidence that bipolar disorder (BPD) and schizophrenia (SZ) share familial risk characteristics. The topic is introduced with a brief discussion of various shared epidemiologic characteristics of SZ and BPD. Family studies of BPD and SZ, conducted by multiple independent groups of investigators, are consistent with partial overlap in familial susceptibility. Given that the family study data suggest overlap in familial susceptibility for BPD and SZ, several confirmed linkages of BPD or SZ are reviewed, with the conclusion that there are five genomic regions for which evidence suggests shared genetic susceptibility of BPD and SZ. It is suggested that nosology must be changed to reflect the genetic origins of the multiple disorders that are collectively described by the terms BPD and SZ.
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Affiliation(s)
- Wade Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
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5
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Merikangas KR, Chakravarti A, Moldin SO, Araj H, Blangero JC, Burmeister M, Crabbe J, Depaulo JR, Foulks E, Freimer NB, Koretz DS, Lichtenstein W, Mignot E, Reiss AL, Risch NJ, Takahashi JS. Future of genetics of mood disorders research. Biol Psychiatry 2002; 52:457-77. [PMID: 12361664 DOI: 10.1016/s0006-3223(02)01471-3] [Citation(s) in RCA: 99] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
This report summarizes the deliberations of a panel with representation from diverse disciplines of relevance to the genetics of mood disorders. The major charge to the panel was to develop a strategic plan to employ the tools of genetics to advance the understanding, treatment, and outcomes for mood disorders. A comprehensive review of the evidence for the role of genetic factors in the etiology of mood disorders was conducted, and the chief impediments for progress in gene identification were identified. The National Institute of Mental Health (NIMH) portfolios in the Genetics Research Branch and the Division of Mental Disorders, Behavioral Sciences, AIDS, and all genetics training activities were reviewed. Despite some promising leads, there are still no confirmed linkage findings for mood disorders. Impediments to gene finding include the lack of phenotypic validity, variation in ascertainment sources and methodology across studies, and genetic complexity. With respect to linkage, the committee recommended that a large-scale, integrated effort be undertaken to examine existing data from linkage and association studies of bipolar disorders using identical phenotypes and statistical methods across studies to determine whether the suggestive linkage findings at some loci can be confirmed. Confirmation would justify more intensive approaches to gene finding. The committee recommended that the NIMH support continued efforts to identify the most heritable subtypes and endophenotypes of major depression using the tools of genetic epidemiology, neuroscience, and behavioral science. The field of genetic epidemiology was identified as an important future direction because population-based, epidemiologic studies of families and unrelated affected individuals assume increasing importance for common chronic diseases. To prepare for shifts to more complex genetic models, the committee recommended that the NIMH develop new interdisciplinary training strategies to prepare for the next generation of genetics research.
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Affiliation(s)
- Kathleen R Merikangas
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
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Abstract
This paper reviews the history of molecular genetic linkage and linkage disequilibrium (LD) or association studies of bipolar disorder (BPD). The topic is introduced with a brief discussion of various genetic concepts, including linkage and linkage disequilibrium. It is emphasized that criteria for declaring linkage must include independent confirmation by multiple groups of investigators. Given that the inherited susceptibility for BPD is most likely explained by multiple genes of small effect, simulations indicate that universal confirmation of valid linkages cannot be expected due to sampling variation and genetic heterogeneity. With this background, several valid linkages of BPD to genomic regions are reviewed, including some which may be shared with schizophrenia. These results suggest that nosology must be changed to reflect the genetic origins of the multiple disorders which are collectively described by the term, BPD. The history of BPD LD studies is reviewed, using monoamine oxidase as as an example. Some suggestions of improving these BPD LD are offered.
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Affiliation(s)
- Wade Berrettini
- Department of Psychiatry and Center for Neurobiology and Behavior, University of Pennsylvania, 415 Curie Blvd, Room 111, Philadelphia, PA 19104, USA.
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7
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Abstract
OBJECTIVES To review the reports of linkage findings for bipolar disorder. METHODS Literature review of published linkage findings in bipolar disorder. RESULTS There are several regions of the human genome that have been implicated repeatedly by independent investigators. These include 4p16, 12q24, 18q22, 18p11, 21q21 and 22q11. Two of these regions (18p11 and 22q11) are also implicated in genome scans of schizophrenia, suggesting that these two distinct nosological categories may share some genetic susceptibility. This hypothesis can only be tested when the underlying genes are identified.
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Affiliation(s)
- W H Berrettini
- Department of Psychiatry and the Center for Neurobiology and Behavior, University of Pennsylvania, Philadelphia, PA 19107, USA.
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Markianos K, Daly MJ, Kruglyak L. Efficient multipoint linkage analysis through reduction of inheritance space. Am J Hum Genet 2001; 68:963-77. [PMID: 11254453 PMCID: PMC1275650 DOI: 10.1086/319507] [Citation(s) in RCA: 111] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2000] [Accepted: 02/06/2001] [Indexed: 11/03/2022] Open
Abstract
Computational constraints currently limit exact multipoint linkage analysis to pedigrees of moderate size. We introduce new algorithms that allow analysis of larger pedigrees by reducing the time and memory requirements of the computation. We use the observed pedigree genotypes to reduce the number of inheritance patterns that need to be considered. The algorithms are implemented in a new version (version 2.1) of the software package GENEHUNTER. Performance gains depend on marker heterozygosity and on the number of pedigree members available for genotyping, but typically are 10-1,000-fold, compared with the performance of the previous release (version 2.0). As a result, families with up to 30 bits of inheritance information have been analyzed, and further increases in family size are feasible. In addition to computation of linkage statistics and haplotype determination, GENEHUNTER can also perform single-locus and multilocus transmission/disequilibrium tests. We describe and implement a set of permutation tests that allow determination of empirical significance levels in the presence of linkage disequilibrium among marker loci.
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Affiliation(s)
- K Markianos
- Division of Human Biology, Fred Hutchison Cancer Research Center, Seattle, WA 98109, USA.
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Abstract
Schizophrenic and bipolar disorders are similar in several epidemiologic respects, including age at onset, lifetime risk, course of illness, worldwide distribution, risk for suicide, gender influence (men and women at equal risk for both groups of disorders), and genetic susceptibility. Despite these similarities, schizophrenia and bipolar disorders are typically considered to be separate entities, with distinguishing clinical characteristics, non-overlapping etiologies, and distinct treatment regimens. Over the past three decades, multiple family studies are consistent with greater nosologic overlap than previously acknowledged. Molecular linkage studies (conducted during the 1990s) reveal that some susceptibility loci may be common to both nosologic classes. This indicates that our nosology will require substantial revision during the next decade, to reflect this shared genetic susceptibility, as specific genes are identified.
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Affiliation(s)
- W H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia 19104, USA
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Rojas K, Liang L, Johnson EI, Berrettini WH, Overhauser J. Identification of candidate genes for psychiatric disorders on 18p11. Mol Psychiatry 2000; 5:389-95. [PMID: 10889549 DOI: 10.1038/sj.mp.4000737] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Linkage studies have suggested a locus for bipolar disorder as well as schizophrenia in the pericentric region of chromosome 18. Several candidate genes have been identified in the region including ACTH, IMP, and G(olf), however no reports of mutations in families showing linkage to the 18p11 locus have been reported. Recently, mild linkage disequilibrium has been observed with a polymorphic marker that maps within the G(olf) gene and schizophrenia in families from Germany and Israel, suggesting that a gene mapping near G(olf) may be involved in psychiatric disorders. A BAC and cosmid contig around the G(olf) locus has been generated and BAC clones were used for cDNA selection experiments. Several novel genes have been identified which are expressed in the brain. These genes may be possible candidate genes for psychiatric illness.
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Affiliation(s)
- K Rojas
- Department of Biochemistry and Molecular Pharmacology, Thomas Jefferson University, 233 S 10th Street, Suite 209, Philadelphia, PA 19107, USA
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Abstract
Genetic epidemiological studies reveal that relatives of bipolar probands are at increased risk for recurrent unipolar, bipolar, and schizoaffective disorders, whereas relatives of probands with schizophrenia are at increased risk for schizophrenia, schizoaffective, and recurrent unipolar disorders. The overlap in familial risk may reflect shared genetic susceptibility. Recent genetic linkage studies have defined confirmed bipolar susceptibility loci for multiple regions of the human genome, including 4p16, 12q24, 18p11.2, 18q22, 21q21, 22q11-13, and Xq26. Studies of schizophrenia kindreds have yielded robust evidence for susceptibility at 18p11.2 and 22q11-13, both of which are implicated in susceptibility to bipolar disorder. Similarly, confirmed schizophrenia vulnerability loci have been mapped, too, for 6p24, 8p, and 13q32. Strong statistical evidence for a 13q32 bipolar susceptibility locus has been reported. Thus, both family and molecular studies of these disorders suggest shared genetic susceptibility. These two groups of disorders may not be as distinct as current nosology suggests.
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Affiliation(s)
- W H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia 19107, USA
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