101
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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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102
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Abstract
Genetic epidemiologic studies reveal that relatives of bipolar (BIP) probands are at increased risk for recurrent unipolar (RUP), BIP, and schizoaffective (SA) disorders, while relatives of schizophrenia (SZ) probands are at increased risk for SZ, SA, and RUP disorders. The overlap in familial risk may reflect shared genetic susceptibility. Recent genetic linkage studies have defined confirmed susceptibility loci for BIP disorder for multiple regions of the human genome, including 4p16, 12q24, 18p11.2, 18q22, 21q21, 22q11-13, and Xq26. Studies of SZ kindreds have yielded robust evidence for susceptibility at 18p11.2 and 22q11-13, both of which are implicated in susceptibility to BIP disorder. Similarly, confirmed SZ vulnerability loci have been mapped for 6p24, 8p and 13q32. Strong statistical evidence for a 13q32 BIP susceptibility locus has been reported. Thus, both family and molecular studies of these disorders suggest shared genetic susceptibility. These two group of disorders may not be so 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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103
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Nancarrow DJ, Levinson DF, Taylor JM, Hayward NK, Walters MK, Lennon DP, Nertney DA, Jones HL, Mahtani MM, Kirby A, Kruglyak L, Brown DM, Crowe RR, Andreasen NC, Black DW, Silverman JM, Mohs RC, Siever LJ, Endicott J, Sharpe L, Mowry BJ. No support for linkage to the bipolar regions on chromosomes 4p, 18p, or 18q in 43 schizophrenia pedigrees. ACTA ACUST UNITED AC 2000. [DOI: 10.1002/(sici)1096-8628(20000403)96:2<224::aid-ajmg19>3.0.co;2-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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104
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Ohtsuki T, Ishiguro H, Yoshikawa T, Arinami T. WFS1 gene mutation search in depressive patients: detection of five missense polymorphisms but no association with depression or bipolar affective disorder. J Affect Disord 2000; 58:11-7. [PMID: 10760554 DOI: 10.1016/s0165-0327(99)00099-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Wolfram syndrome (WFS) is an autosomal recessive neurodegenerative disorder. Recently, the WFS1 gene was isolated, and approximately 80% of the mutations responsible for WFS were found in exon 8 of WFS1. It has been noted that heterozygous carriers of the WFS gene are 26-fold more likely to be hospitalized for depression, and it has been estimated that approximately 25% of all people hospitalized for depression may carry the WFS gene(s). METHODS We searched for mutations in exon 8 of WFS1 in 30 depressive patients with a history of hospitalization and whose age at onset was under 40 years. We also examined 47 bipolar affective patients and 62 control subjects for an association. RESULTS A were detected. Four of the six were novel. No nonsense or frameshift mutation was detected. Genotypic and allelic distributions were similar between the depressive patients and the controls. No association with bipolar affective disorder was suggested. LIMITATIONS Because of the small sample size, the probability of finding at least one patient with WFS-responsible mutation(s) was 70% if depression is associated with WFS1 mutation(s) in 5% of patients. CONCLUSION It is not likely that WFS1 mutations are responsible for as much as 25% of depressive illness.
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Affiliation(s)
- T Ohtsuki
- Department of Medical Genetics, Institute of Basic Medical Sciences, University of Tsukuba, Tsukuba, Japan
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105
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Abstract
Bipolar affective disorder is a highly heritable condition, as demonstrated in twin, family, and adoption studies. Morbid risk in first degree relatives is four to six times higher than the population prevalence of about 1%. However, the mode of inheritance is complex, and linkage findings have been difficult to replicate. Despite these limitations, consistent linkage findings have emerged on several chromosomes, notably 18p, 18q, 21q, 12q, 4p, and Xq. Two additional areas, 10p and 13q, have shown linkage in regions that appear to overlap with significant linkage findings in schizophrenia. Separate linkage studies in schizophrenia also have targeted the replicated bipolar linkages on 18p and 22q. New methods are being developed for fine mapping and candidate identification. Recent candidate gene studies include some positive results for the serotonin transporter gene on 17q and the catechol-o-methyltransferase gene on 22q. No other candidate gene studies are yet showing replicated results. A convincing demonstration for a susceptibility gene will probably require a mixture of case- control studies, family-based association methods, and pathophysiologic studies.
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Affiliation(s)
- J I Nurnberger
- Department of Psychiatry, The Institute of Psychiatric Research, 791 Union Drive, Indiana University Medical Center, Indianapolis, IN 46202, USA.
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106
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Abstract
OBJECTIVES To review the methodologies and findings in the genetics of bipolar disorder (BPD), and to suggest future directions for research. METHODS Reports of family, twin, adoption, linkage, association, cytogenetic, and animal model studies, and segregation analyses in English, were identified from multiple MEDLINE searches. Hand searches were carried out in bibliographies from review articles. RESULTS Family, twin, and adoption studies have provided strong evidence for a genetic etiology in BPD. Early reports of linkage of BPD to DNA markers at several chromosomal sites have not proven robust, perhaps because of the complex nature of BPD inheritance. However, linkage findings in the 1990s, on chromosomes 18, 21q, 12q, and 4p, have provided leads that are being pursued through both genetic and physical mapping. No gene has yet been definitively implicated in BPD. CONCLUSIONS Strategies for increasing the power to detect BPD genes include: (1) dividing the phenotype into genetically meaningful subtypes to decrease heterogeneity: and (2) ascertaining a very large family sample--a multicenter study now in progress will collect 700 bipolar I sibling pairs. BPD may result from several genes acting in concert so that new multilocus statistical methods could enhance the capacity to detect loci involved. Family-based association studies using a very large number of newly identified single nucleotide polymorphisms (SNPs) may allow for more efficient screening of the genome. As the Human Genome Project approaches its goal of isolating all genes by 2003, the data generated is likely to speed identification of candidate BPD genes.
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Affiliation(s)
- J B Potash
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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107
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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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108
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Friddle C, Koskela R, Ranade K, Hebert J, Cargill M, Clark CD, McInnis M, Simpson S, McMahon F, Stine OC, Meyers D, Xu J, MacKinnon D, Swift-Scanlan T, Jamison K, Folstein S, Daly M, Kruglyak L, Marr T, DePaulo JR, Botstein D. Full-genome scan for linkage in 50 families segregating the bipolar affective disease phenotype. Am J Hum Genet 2000; 66:205-15. [PMID: 10631152 PMCID: PMC1288327 DOI: 10.1086/302697] [Citation(s) in RCA: 64] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/1999] [Accepted: 10/26/1999] [Indexed: 11/03/2022] Open
Abstract
A genome scan of approximately 12-cM initial resolution was done on 50 of a set of 51 carefully ascertained unilineal multiplex families segregating the bipolar affective disorder phenotype. In addition to standard multipoint linkage analysis methods, a simultaneous-search algorithm was applied in an attempt to surmount the problem of genetic heterogeneity. The results revealed no linkage across the genome. The results exclude monogenic models and make it unlikely that two genes account for the disease in this sample. These results support the conclusion that at least several hundred kindreds will be required in order to establish linkage of susceptibility loci to bipolar disorder in heterogeneous populations.
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Affiliation(s)
- Carl Friddle
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Rebecca Koskela
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Koustubh Ranade
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Joan Hebert
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Michele Cargill
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Chris D. Clark
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Melvin McInnis
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Sylvia Simpson
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Francis McMahon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - O. Colin Stine
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Deborah Meyers
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Jianfeng Xu
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Dean MacKinnon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Theresa Swift-Scanlan
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Kay Jamison
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Susan Folstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Mark Daly
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Leonid Kruglyak
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Thomas Marr
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - J. Raymond DePaulo
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - David Botstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
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109
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Abstract
The past decade has witnessed the ascendance of human genetics in modern medicine, and at the forefront of this movement is the identification of genetic factors underlying inherited diseases. The methods of genetic mapping and positional cloning have made the discovery of genes with alleles that cause simple Mendelian diseases commonplace. The elucidation of the genetic basis of such disorders has vitalized both human genetics and the entire medical community as the field has gained prominence. The fact remains, however, that diseases resulting from the action of alleles of a single gene comprise only a minor percentage of traits that are medically relevant to humanity. The majority of these are multifactorial "complex traits", which result from the aggregate contribution of an unknown number of genes interacting with each other and with the environment. The current challenge has become one of parlaying successes in the mapping of Mendelian diseases into the discovery of genes whose alleles predispose the development of a complex disease. In light of this challenge, this review summarizes the methods and addresses some of the central issues of complex trait mapping, while using examples from dermatologically-relevant complex traits such as psoriasis and alopecia. Additionally, current technical and theoretical advances as well as the potential impact of the Human Genome Project will be discussed.
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Affiliation(s)
- V M Aita
- Department of Genetics & Development, Columbia University, New York, NY 10032, USA.
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110
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Morissette J, Villeneuve A, Bordeleau L, Rochette D, Laberge C, Gagné B, Laprise C, Bouchard G, Plante M, Gobeil L, Shink E, Weissenbach J, Barden N. Genome-wide search for linkage of bipolar affective disorders in a very large pedigree derived from a homogeneous population in quebec points to a locus of major effect on chromosome 12q23-q24. AMERICAN JOURNAL OF MEDICAL GENETICS 1999; 88:567-87. [PMID: 10490718 DOI: 10.1002/(sici)1096-8628(19991015)88:5<567::aid-ajmg24>3.0.co;2-8] [Citation(s) in RCA: 179] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
We completed a genome-wide scan for susceptibility loci for bipolar affective disorders in families derived from a rather homogeneous population in the Province of Québec. The genetic homogeneity of this population stems from the migration of founding families into this relatively isolated area of Québec in the 1830s. A possible founder effect, combined with a prevalence of very large families, makes this population ideal for linkage studies. Genealogies for probands can be readily constructed from a population database of acts of baptism and marriage from the early 1830s up to the present time (the BALSAC register). We chose probands with a DSM III diagnosis of bipolar affective disorder and who may be grouped within large families having genealogical origins with the founding population of the Saguenay-Lac-St-Jean area. Living members (n approximately 120) of a very large pedigree were interviewed using the Structured Clinical Interview for DSM III (SCID I), SCID II, and with a family history questionnaire. A diagnostic panel evaluated multisource information (interview, medical records, family history) and pronounced best-estimate consensus diagnoses on all family members. Linkage, SimAPM, SimIBD, and sib-pair analyses have been performed with 332 microsatellite probes covering the entire genome at an average spacing of 11 cM. GENEHUNTER and haplotype analyses were performed on regions of interest. Analysis of a second large pedigree in the same regions of interest permitted confirmation of presumed linkages found in the region of chromosome 12q23-q24.
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Affiliation(s)
- J Morissette
- Neuroscience, CHUL Research Center and Laval University, Québec, Canada
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111
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Bowen T, Kirov G, Gill M, Spurlock G, Vallada H, Murray R, McGuffin P, Collier D, Owen M, Craddock N. Linkage studies of bipolar disorder with chromosome 18 markers. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1096-8628(19991015)88:5<503::aid-ajmg13>3.0.co;2-u] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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112
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Bull LN, Pabón-Peña CR, Freimer NB. Compound microsatellite repeats: practical and theoretical features. Genome Res 1999; 9:830-8. [PMID: 10508841 PMCID: PMC310808 DOI: 10.1101/gr.9.9.830] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Most linkage and population genetic studies that use microsatellites assume that the polymorphism observed at these loci is due simply to variation in the number of units of a single repeat. Variation is far more complex, however, for the numerous microsatellites that contain interruptions within the repeat or contain more than one type of repeat. We observed that for D18S58, a compound microsatellite containing (CG)(m), as well as (CA)(n) repeats, the apparent length of certain alleles varied between genotyping experiments. Similar results were obtained with other (CG)(m)-(CA)(n) repeats. Sequencing demonstrated that the D18S58 alleles demonstrating variable mobility contained longer (CG)(m) stretches than those alleles whose length did not appear to vary between experiments. These results suggest that (CG)(m) repeats, which are frequently present in compound human microsatellites, are prone to form an unusually stable secondary structure. We discuss the relative frequency of different classes of compound microsatellites identified through database searches, as well as their patterns of sequence and variation. Further characterization of such variation is important for elucidating the origin, mutational processes, and structure of these widely used, but incompletely understood, sequences.
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Affiliation(s)
- L N Bull
- Neurogenetics Laboratory, Department of Psychiatry, University of California, San Francisco, California 94143 USA
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113
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Craddock N, Lendon C, Cichon S, Culverhouse R, Detera-Wadleigh S, Devon R, Faraone S, Foroud T, Gejman P, Leonard S, McInnis M, Owen MJ, Riley B, Armstrong C, Barden N, van Broeckhoven C, Ewald H, Folstein S, Gerhard D, Goldman D, Gurling H, Kelsoe J, Levinson D, Muir W, Philippe A, Pulver A, Wildenauer D. Chromosome workshop: Chromosomes 11, 14, and 15. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1096-8628(19990618)88:3<244::aid-ajmg7>3.0.co;2-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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114
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115
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Crowe RR, Vieland V, Detera-Wadleigh S, Garver D, Gejman P, Hovatta I, Shink E. Report of the Chromosome 5 Workshop of the Sixth World Congress on Psychiatric Genetics. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1096-8628(19990618)88:3<229::aid-ajmg4>3.0.co;2-b] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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116
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Abstract
Recent linkage results independently derived from a large French Canadian pedigree and Danish kindreds coupled with supportive data from other studies provide compelling evidence for a bipolar disorder susceptibility locus on chromosome 12q23-q24. The idea is further strengthened by the finding that Darier's disease, which maps to this region, has been shown to cosegregate with affective disorder in a family. This linkage finding, however, was not supported in other independent genome scans. On chromosome 16, bipolar families from Denmark exhibited suggestive linkage with D16S510, on 16p13. Multipoint nonparametric analysis on the NIMH Genetics Initiative bipolar pedigrees yielded increased allele sharing that maximized approximately 18 cM proximal to the latter locus. In contrast, evidence of linkage was not detected in other panels of bipolar families that were presented. At 16p13, a maximum multipoint lod score of 4 for a latent class-derived phenotype that has aspects of alcohol dependence was found in a genome scan of 105 families from the Collaborative Study of the Genetics of Alcoholism, identifying a potential vulnerability locus.
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Affiliation(s)
- S D Detera-Wadleigh
- National Institute of Mental Health Intramural Program, National Institutes of Health, Bethesda, Maryland 20892, USA
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117
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Curtis D, Aita V, Baron M, Bennett P, Detera-Wadleigh S, McQuillin A, Gerhard D, Kelsoe J, Foroud T. Chromosome 21 workshop. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1096-8628(19990618)88:3<272::aid-ajmg12>3.0.co;2-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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118
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Berrettini WH. Molecular linkage studies of bipolar disorder. DIALOGUES IN CLINICAL NEUROSCIENCE 1999; 1:12-21. [PMID: 22033545 PMCID: PMC3181563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
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)
- Wade H. Berrettini
- The department of Psychiatry and the Center for Neurobiology and Behavior, University of Pennsylvania, USA
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119
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Escamilla MA, McInnes LA, Spesny M, Reus VI, Service SK, Shimayoshi N, Tyler DJ, Silva S, Molina J, Gallegos A, Meza L, Cruz ML, Batki S, Vinogradov S, Neylan T, Nguyen JB, Fournier E, Araya C, Barondes SH, Leon P, Sandkuijl LA, Freimer NB. Assessing the feasibility of linkage disequilibrium methods for mapping complex traits: an initial screen for bipolar disorder loci on chromosome 18. Am J Hum Genet 1999; 64:1670-8. [PMID: 10330354 PMCID: PMC1377910 DOI: 10.1086/302400] [Citation(s) in RCA: 48] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Linkage disequilibrium (LD) analysis has been promoted as a method of mapping disease genes, particularly in isolated populations, but has not yet been used for genome-screening studies of complex disorders. We present results of a study to investigate the feasibility of LD methods for genome screening using a sample of individuals affected with severe bipolar mood disorder (BP-I), from an isolated population of the Costa Rican central valley. Forty-eight patients with BP-I were genotyped for markers spaced at approximately 6-cM intervals across chromosome 18. Chromosome 18 was chosen because a previous genome-screening linkage study of two Costa Rican families had suggested a BP-I locus on this chromosome. Results of the current study suggest that LD methods will be useful for mapping BP-I in a larger sample. The results also support previously reported possible localizations (obtained from a separate collection of patients) of BP-I-susceptibility genes at two distinct sites on this chromosome. Current limitations of LD screening for identifying loci for complex traits are discussed, and recommendations are made for future research with these methods.
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Affiliation(s)
- M A Escamilla
- Neurogenetics Laboratory, University of California San Francisco, San Francisco, USA
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120
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Herzog AG. Psychoneuroendocrine aspects of temporolimbic epilepsy. Part I. Brain, reproductive steroids, and emotions. PSYCHOSOMATICS 1999; 40:95-101. [PMID: 10100430 DOI: 10.1016/s0033-3182(99)71254-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The temporolimbic structures of the brain that subserve emotional representation are highly epileptogenic and play an important role in the modulation of hormonal secretion and mediation of hormonal feedback. Estrogen is highly epileptogenic and exerts energizing and antidepressant effects. Excessive estrogen influence produces anxiety, agitation, irritability, and lability. It can promote the development of anxiety manifestations (e.g., panic, phobias, and obsessive-compulsive disorder). Progesterone and its metabolites inhibit kindling and seizure activity. They have potent anxiolytic effects, possibly by virtue of their GABAergic activity. Excessive progesterone influence produces sedation and depression. Testosterone has two major metabolites: estradiol, which can exacerbate seizures, and dihydrotestosterone, which blocks NMDA-type glutamate transmission and may be responsible for antiseizure effects. Testosterone has energizing effects and increases sexual desire in both men and women. In excess, however, it may promote aggressive, impulsive, and hypersexual behavior. Hormonal effects tend to be exaggerated or idiosyncratic in the setting of an abnormal or anomalous temporolimbic substrate, especially temporolimbic epilepsy. This may reflect altered neuronal responsivity to hormonal exposure perhaps by virtue of changes in the number of dendritic spines and receptors.
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Affiliation(s)
- A G Herzog
- Harvard Neuroendocrine Unit, Beth Israel Deaconess Medical Center, Department of Neurology, Harvard Medical School, Boston, MA, USA
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Schwab SG, Hallmayer J, Lerer B, Albus M, Borrmann M, Hönig S, Strauss M, Segman R, Lichtermann D, Knapp M, Trixler M, Maier W, Wildenauer DB. Support for a chromosome 18p locus conferring susceptibility to functional psychoses in families with schizophrenia, by association and linkage analysis. Am J Hum Genet 1998; 63:1139-52. [PMID: 9758604 PMCID: PMC1377479 DOI: 10.1086/302046] [Citation(s) in RCA: 114] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
The action of antipsychotic drugs on dopamine receptors suggests that dopaminergic signal transmission may play a role in the development of schizophrenia. We tested eight candidate genes (coding for dopamine receptors, the dopamine transporter, and G-proteins) in 59 families from Germany and Israel, for association. A P value of .00055 (.0044 when corrected for the no. of markers tested) was obtained for the intronic CA-repeat marker G-olfalpha on chromosome 18p. The value decreased to .000088 (.0007) when nine sibs with recurrent unipolar depressive disorder were included. Linkage analysis using SSLP markers densely spaced around G-olfalpha yielded a maximum two-point LOD score of 3.1 for a marker 0.5 cM distal to G-olfalpha. Multipoint analysis under the assumption of heterogeneity supported this linkage-whether the affected pheotype was defined narrowly or broadly-as did nonparametric linkage (NPL). In 12 families with exclusively maternal transmission of the disease, the NPL value also supported linkage to this marker. In order to test for association/linkage disequilibrium in the presence of linkage, the sample was restricted to independent offspring. When this sample was combined with 65 additional simplex families (each of them comprising one schizophrenic offspring and his or her parents), the 124-bp allele of G-olfalpha was transmitted 47 times and was not transmitted 21 times (P=.009). These results suggest the existence, on chromosome 18p, of a potential susceptibility locus for functional psychoses.
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Affiliation(s)
- S G Schwab
- Molecular Genetics Laboratory, Department of Psychiatry, University of Bon, Germany
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Abstract
This paper reviews the history of molecular genetic linkage studies of bipolar disorder. The topic is introduced with a brief discussion of various genetic concepts, including linkage, lod scores and non-parametric statistics. It is emphasized that criteria for declaring linkage must include independent confirmation by a second group of investigators. Given that the inherited susceptibility for bipolar disorder is most likely explained by multiple genes of small effect, simulations indicate that universal confirmation of valid linkages cannot be expected. With this background, several valid linkages of BP disorder to genomic regions are reviewed. These valid linkages include 18p11, 18q22, 21q21, Xq26 and 4pter. The issue of anticipation and expanding triplet repeats is discussed. Finally, there is a brief section on recommendations for future genetic linkage studies of bipolar disorder.
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MESH Headings
- Bipolar Disorder/genetics
- Chromosomes, Human, Pair 11
- Chromosomes, Human, Pair 16
- Chromosomes, Human, Pair 18
- Chromosomes, Human, Pair 21
- Chromosomes, Human, Pair 22
- Chromosomes, Human, Pair 4
- Genetic Linkage
- Genetic Predisposition to Disease
- Humans
- Pedigree
- Reproducibility of Results
- Research Design
- Trinucleotide Repeats
- X Chromosome
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Affiliation(s)
- W Berrettini
- Department of Psychiatry, Center for Neurobiology and Behavior, University of Pennsylvania, Philadelphia 19104, USA.
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McMahon FJ, Hopkins PJ, Xu J, McInnis MG, Shaw S, Cardon L, Simpson SG, MacKinnon DF, Stine OC, Sherrington R, Meyers DA, DePaulo JR. Linkage of bipolar affective disorder to chromosome 18 markers in a new pedigree series. Am J Hum Genet 1997; 61:1397-404. [PMID: 9399888 PMCID: PMC1716088 DOI: 10.1086/301630] [Citation(s) in RCA: 77] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Several groups have reported evidence suggesting linkage of bipolar affective disorder (BPAD) to chromosome 18. We have reported data from 28 pedigrees that showed linkage to marker loci on 18p and to loci 40 cM distant on 18q. Most of the linkage evidence derived from families with affected phenotypes in only the paternal lineage and from marker alleles transmitted on the paternal chromosome. We now report results from a series of 30 new pedigrees (259 individuals) genotyped for 13 polymorphic markers spanning chromosome 18. Subjects were interviewed by a psychiatrist and were diagnosed by highly reliable methods. Genotypes were generated with automated technology and were scored blind to phenotype. Affected sib pairs showed excess allele sharing at the 18q markers D18S541 and D18S38. A parent-of-origin effect was observed, but it was not consistently paternal. No robust evidence of linkage was detected for markers elsewhere on chromosome 18. Multipoint nonparametric linkage analysis in the new sample combined with the original sample of families supports linkage on chromosome 18q, but the susceptibility gene is not well localized.
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Affiliation(s)
- F J McMahon
- Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Reddy PH, Stockburger E, Gillevet P, Tagle DA. Mapping and characterization of novel (CAG)n repeat cDNAs from adult human brain derived by the oligo capture method. Genomics 1997; 46:174-82. [PMID: 9417904 DOI: 10.1006/geno.1997.5044] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The expansion of a (CAG)n trinucleotide repeat has been associated with at least eight neurological disorders in which the repeats code for polyglutamine in the protein. To identify additional genes that possess (CAG)n repeats, single-stranded cDNA clones derived from adult human brain were screened using biotinylated oligonucleotide (CAG)8, and the hybridizing complexes were isolated with strepavidin-coated paramagnetic beads. A total of 119 cDNA clones were isolated and initially characterized by end sequencing. BLAST homology searches were used to reduce redundancies with overlapping clones and to eliminate those that show sequence identity with previously published cDNAs with triplet repeats. Only cDNA clones with more than five CAG repeats were pursued for analysis. A total of 19 novel cDNAs were further characterized by determining chromosomal assignments using the Stanford G3 and Genebridge radiation-reduced hybrid mapping panels. Transcript sizes and tissue expression patterns were determined by Northern blot analysis. Two of 19 clones showed specific or high expression in brain. These cDNAs are ideal candidate genes for other neurodegenerative disorders, such as spinocerebellar ataxia types 5 and 7, and may also be implicated in psychiatric diseases such as bipolar affected disorder and schizophrenia.
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Affiliation(s)
- P H Reddy
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-4442, USA
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125
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Sjøholt G, Molven A, Løvlie R, Wilcox A, Sikela JM, Steen VM. Genomic structure and chromosomal localization of a human myo-inositol monophosphatase gene (IMPA). Genomics 1997; 45:113-22. [PMID: 9339367 DOI: 10.1006/geno.1997.4862] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Manic-depressive illness is a serious psychiatric disorder that in many, but far from all, patients can be treated with lithium. The main causes for discontinuation of lithium therapy are unpleasant or serious side effects and lack of response. The reason for the striking variation in clinical efficacy of lithium treatment among bipolar patients is not known. The enzyme myo-inositol monophosphatase (IMPase) has been postulated as a target for the mood-stabilizing effects of lithium, but variation in the coding region of the human IMPA gene encoding IMPase activity has not been observed in manic-depressive patients (Steen et al., Pharmacogenetics, 1996, 6, 113-116). It is nevertheless conceivable that polymorphisms or mutations in the noncoding regions of this gene could influence the lithium response in psychiatric patients. As a first step in investigating this possibility, we here report the genomic structure of the human IMPA gene. The gene is composed of at least nine exons and covers more than 20 kb of sequence on chromosome 8q21.13-q21.3. In the 3'-untranslated part of the gene, we observed a polymorphism (a G to A transition) and also two short sequences similar to the inositol/cholin-responsive element consensus. Finally, we postulate that two additional IMPA-like transcripts originate from the human genome, one from a position close to IMPA itself on chromosome 8 and the other from chromosome 18p. Our data may contribute to the identification of genetic factors involved in the pathogenesis and determination of treatment response in manic-depressive illness.
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Affiliation(s)
- G Sjøholt
- Dr. Einar Martens' Research Group for Biological Psychiatry, Center for Molecular Medicine, Haukeland University Hospital, Bergen, Norway
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Alda M. Bipolar disorder: from families to genes. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 1997; 42:378-87. [PMID: 9161762 DOI: 10.1177/070674379704200404] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Genetic factors are known to contribute to the etiology of bipolar illness, but the actual genetic mechanisms remain to be clarified. METHODS This paper reviews the research undertaken to establish the genetic basis of bipolar illness and to elucidate the nature of its genetic predisposition. RESULTS The presented findings suggest that bipolar affective disorder is a heterogeneous condition characterized by a complex relationship between the genetic susceptibility and the clinical presentation. Linkage studies have generated promising and replicated findings on chromosomes 18 and 21. CONCLUSION In spite of the methodological difficulties inherent in the genetic study of psychiatric disorders recent investigations have made important advances and promise to identify specific susceptibility genes.
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Affiliation(s)
- M Alda
- Department of Psychiatry, University of Ottawa, Ontario.
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