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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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Li X, Zhang J, Wang Y, Ji J, Yang F, Wan C, Wang P, Feng G, Lindpaintner K, He L, He G. Association study on the NAPG gene and bipolar disorder in the Chinese Han population. Neurosci Lett 2009; 457:159-62. [DOI: 10.1016/j.neulet.2009.03.070] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2009] [Revised: 03/18/2009] [Accepted: 03/21/2009] [Indexed: 12/29/2022]
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3
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McNabb LD, Moore KW, Scena JE, Buono RJ, Berrettini WH. Association analysis of CHMP1.5 genetic variation and bipolar disorder. Psychiatr Genet 2005; 15:211-4. [PMID: 16094257 DOI: 10.1097/00041444-200509000-00013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The18p11.2 region surrounding the G-olf gene has been linked in several independent studies to bipolar disorder and schizophrenia, yet association studies between G-olf genetic variations and bipolar disorder have been negative. We hypothesized that the linkage in this region might be due to a gene in close physical proximity to G-olf, and we examined variations in the CHMP1.5 gene within intron 5 of G-olf for association with bipolar disorder. METHODS Two single-nucleotide polymorphisms, rs1786581 and rs1249624, were analyzed for association with bipolar disorder in 402 unrelated bipolar individuals and 181 unrelated controls. Genotyping was performed via pyrosequencing and restriction fragment length polymorphism analysis; results were compared by chi2 contingency analysis. RESULTS No evidence was found for association of either allele at rs1249624 with bipolar disorder (chi2=1.25, degrees of freedom=1, P=0.26); however, a trend towards association with the 'T' allele at rs1786581 and with the 'T/T' 1786581/1249624 haplotype was observed. The chi2 for the haplotype was 7.16, (degrees of freedom=3, P=0.067) and for rs1786581 chi2=3.56, degrees of freedom=1, P=0.060; these differences are not statistically significant. CONCLUSIONS Variation in the CHMP1.5 gene does not appear to be associated with bipolar disorder. A systematic assessment of genetic variation in the region using association studies will be necessary.
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Affiliation(s)
- Leilah D McNabb
- Department of Pharmacology, University of Pennsylvania, Philadelphia, USA.
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4
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Abstract
Bipolar disorder is an etiologically complex syndrome that is clearly heritable. Multiple genes, working singly or in concert, are likely to cause susceptibility to bipolar disorder. Bipolar disorder genetics has progressed rapidly in the last few decades. However, specific causal genetic mutations for bipolar disorder have not been identified. Both candidate gene studies and complete genome screens have been conducted. They have provided compelling evidence for several potential bipolar disorder susceptibility loci in several regions of the genome. The strongest evidence suggests that bipolar disorder susceptibility loci may lie in one or more genomic regions on chromosomes 18, 4, and 21. Other regions of interest, including those on chromosomes 5 and 8, are also under investigation. New approaches, such as the use of genetically isolated populations and the use of endophenotypes for bipolar disorder, hold promise for continued advancement in the search to identify specific bipolar disorder genes.
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Affiliation(s)
- Carol A Mathews
- Department of Psychiatry at the University of California, San Diego, San Diego, California, USA
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5
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Liu J, Juo SH, Dewan A, Grunn A, Tong X, Brito M, Park N, Loth JE, Kanyas K, Lerer B, Endicott J, Penchaszadeh G, Knowles JA, Ott J, Gilliam TC, Baron M. Evidence for a putative bipolar disorder locus on 2p13-16 and other potential loci on 4q31, 7q34, 8q13, 9q31, 10q21-24, 13q32, 14q21 and 17q11-12. Mol Psychiatry 2003; 8:333-42. [PMID: 12660806 DOI: 10.1038/sj.mp.4001254] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Bipolar disorder (BP) is a severe and common psychiatric disorder characterized by extreme mood swings. Family, twin and adoption studies strongly support a genetic component. The mode of inheritance is complex and likely involves multiple, as yet unidentified genes. To identify susceptibility loci, we conducted a genome-wide scan with 343 microsatellite markers in one of the largest, well-characterized pedigree samples assembled to date (373 individuals in 40 pedigrees). To increase power to detect linkage, scan statistics were used to examine the logarithm of odds (lod) scores based on evidence at adjacent chromosomal loci. This analysis yielded significant evidence of linkage (genome-wide P&<0.05) for markers on 2p13-16. Standard linkage analysis was also supportive of linkage to 2p13-16 (lod=3.20), and identified several other interesting regions: 4q31 (lod=3.16), 7q34 (lod=2.78), 8q13 (lod=2.06), 9q31 (lod=2.07), 10q24 (lod=2.79), 13q32 (lod=2.2), 14q21 (lod=2.36) and 17q11-12 (lod=2.75). In this systematic, large-scale study, we identified novel putative loci for BP (on 2p13-16, 8q13 and 14q21) and found support for previously proposed loci (on 4q31, 7q34, 9q31, 10q21-24, 13q32 and 17q11-12). Two of the regions implicated in our study, 2p13-14 and 13q32, have also been linked to schizophrenia, suggesting that the two disorders may have susceptibility genes in common.
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MESH Headings
- Adolescent
- Adult
- Bipolar Disorder/genetics
- Chromosomes, Human, Pair 10
- Chromosomes, Human, Pair 13
- Chromosomes, Human, Pair 14
- Chromosomes, Human, Pair 17
- Chromosomes, Human, Pair 2
- Chromosomes, Human, Pair 4
- Chromosomes, Human, Pair 7
- Chromosomes, Human, Pair 8
- Chromosomes, Human, Pair 9
- Genetic Predisposition to Disease/genetics
- Humans
- Lod Score
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Affiliation(s)
- J Liu
- Columbia Genome Center and Department o fPsychiatry, Columbia University , New York, NY 10032, USA
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6
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McInnis MG, Lan TH, Willour VL, McMahon FJ, Simpson SG, Addington AM, MacKinnon DF, Potash JB, Mahoney AT, Chellis J, Huo Y, Swift-Scanlan T, Chen H, Koskela R, Stine OC, Jamison KR, Holmans P, Folstein SE, Ranade K, Friddle C, Botstein D, Marr T, Beaty TH, Zandi P, DePaulo JR. Genome-wide scan of bipolar disorder in 65 pedigrees: supportive evidence for linkage at 8q24, 18q22, 4q32, 2p12, and 13q12. Mol Psychiatry 2003; 8:288-98. [PMID: 12660801 DOI: 10.1038/sj.mp.4001277] [Citation(s) in RCA: 121] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The purpose of this study was to assess 65 pedigrees ascertained through a Bipolar I (BPI) proband for evidence of linkage, using nonparametric methods in a genome-wide scan and for possible parent of origin effect using several analytical methods. We identified 15 loci with nominally significant evidence for increased allele sharing among affected relative pairs. Eight of these regions, at 8q24, 18q22, 4q32, 13q12, 4q35, 10q26, 2p12, and 12q24, directly overlap with previously reported evidence of linkage to bipolar disorder. Five regions at 20p13, 2p22, 14q23, 9p13, and 1q41 are within several Mb of previously reported regions. We report our findings in rank order and the top five markers had an NPL>2.5. The peak finding in these regions were D8S256 at 8q24, NPL 3.13; D18S878 at 18q22, NPL 2.90; D4S1629 at 4q32, NPL 2.80; D2S99 at 2p12, NPL 2.54; and D13S1493 at 13q12, NPL 2.53. No locus produced statistically significant evidence for linkage at the genome-wide level. The parent of origin effect was studied and consistent with our previous findings, evidence for a locus on 18q22 was predominantly from families wherein the father or paternal lineage was affected. There was evidence consistent with paternal imprinting at the loci on 13q12 and 1q41.
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MESH Headings
- Adolescent
- Adult
- Bipolar Disorder/genetics
- Chromosomes, Human
- Chromosomes, Human, Pair 13
- Chromosomes, Human, Pair 18
- Chromosomes, Human, Pair 2
- Chromosomes, Human, Pair 4
- Chromosomes, Human, Pair 8
- Family Health
- Genetic Linkage
- Genome, Human
- Genomic Imprinting
- Genotype
- Humans
- Parents
- Pedigree
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Affiliation(s)
- M G McInnis
- Department of Psychiatry and Human Behavior, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
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7
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Abstract
Gene finding in genetically complex diseases has been difficult as a result of many factors that have diagnostic and methodologic considerations. For bipolar disorder and schizophrenia, numerous family, twin, and adoption studies have identified a strong genetic component to these behavioral psychiatric disorders. Despite difficulties that include diagnostic differences between sample populations and the lack of statistical significance in many individual studies, several promising patterns have emerged, suggesting that true susceptibility loci for schizophrenia and bipolar disorder may have been identified. In this review, the genetic epidemiology of these disorders is covered as well as linkage findings on chromosomes 4, 12, 13, 18, 21, and 22 in bipolar disorder and on chromosomes 1, 6, 8, 10, 13, 15, and 22 in schizophrenia. The sequencing of the human genome and identification of numerous single nucleotide polymorphisms (SNP) should substantially enhance the ability of investigators to identify disease-causing genes in these areas of the genome.
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Affiliation(s)
- Pamela Sklar
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital and Whitehead Institute Center for Genome Research, Cambridge, Massachusetts 02139, USA.
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8
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Abstract
There has been substantial evidence for more than three decades that the major psychiatric illnesses such as schizophrenia, bipolar disorder, autism, and alcoholism have a strong genetic basis. During the past 15 years considerable effort has been expended in trying to establish the genetic loci associated with susceptibility to these and other mental disorders using principally linkage analysis. Despite this, only a handful of specific genes have been identified, and it is now generally recognized that further advances along these lines will require the analysis of literally hundreds of affected individuals and their families. Fortunately, the emergence in the past three years of a number of new approaches and more effective tools has given new hope to those engaged in the search for the underlying genetic and environmental factors involved in causing these illnesses, which collectively are among the most serious in all societies. Chief among these new tools is the availability of the entire human genome sequence and the prospect that within the next several years the entire complement of human genes will be known and the functions of most of their protein products elucidated. In the meantime the search for susceptibility loci is being facilitated by the availability of single nucleotide polymorphisms (SNPs) and by the beginning of haplotype mapping, which tracks the distribution of clusters of SNPs that segregate as a group. Together with high throughput DNA sequencing, microarrays for whole genome scanning, advances in proteomics, and the development of more sophisticated computer programs for analyzing sequence and association data, these advances hold promise of greatly accelerating the search for the genetic basis of most mental illnesses while, at the same time, providing molecular targets for the development of new and more effective therapies.
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Affiliation(s)
- W Maxwell Cowan
- National Institute of Mental Health, Bethesda, Maryland 20892, USA.
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9
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Baron M. Manic-depression genes and the new millennium: poised for discovery. Mol Psychiatry 2002; 7:342-58. [PMID: 11986978 DOI: 10.1038/sj.mp.4000998] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2001] [Revised: 08/02/2001] [Accepted: 08/08/2001] [Indexed: 12/29/2022]
Abstract
Manic-depressive illness is a common psychiatric disorder with complex etiology that likely involves multiple genes and non-genetic influences. The uncertain path to gene discovery has spurred considerable debate over genetic findings and gene-finding strategies. In this article, I review the main findings, with a focus on: (1) putative linked loci on chromosomes 1q31-32, 4p16, 6pter-p24, 10p14, 10q21-26, 12q23-24, 13q31-32, 18p11, 18q21-23, 21q22, 22q11-13, and Xq24-28; and (2) association studies with candidate genes, dynamic mutations, mitochondrial mutations, and chromosomal aberrations. Although no gene has been identified, promising findings are emerging. I then discuss the challenges and opportunities ahead, with special emphasis on gene-finding methods-in particular, questions pertaining to phenotype definition, linkage and association mapping, gene markers, sampling, study population, multigene systems, lessons from other disorders, animal models, and bioinformatics. The progress to date, together with rapid advances in genomics, analytical and computational methods, and bioinformatics, holds promise for new insights into the genetics of manic-depression, in the new millennium.
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Affiliation(s)
- M Baron
- Department of Psychiatry, Columbia University College of Physicians and Surgeons and Department of Medical Genetics, New York State Psychiatric Institute, New York 10032, USA.
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10
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Ahearn EP, Speer MC, Chen YT, Steffens DC, Cassidy F, Van Meter S, Provenzale JM, Weisler RH, Krishnan KRR. Investigation of Notch3 as a candidate gene for bipolar disorder using brain hyperintensities as an endophenotype. AMERICAN JOURNAL OF MEDICAL GENETICS 2002; 114:652-8. [PMID: 12210282 DOI: 10.1002/ajmg.10512] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The purpose of the study was to consider MRI hyperintensities as a potential endophenotype for bipolar disorder (BPD) and to investigate Notch3 (CADASIL) as a candidate gene for BPD. MRI scans were performed on 21 members of a family with a high incidence of BPD. Two-point and multipoint linkage analyses were performed and two exons of Notch3 were investigated with SSCP. Fifteen of 21 family members had MRI hyperintensities, including all bipolar patients and six family members with no affective illness. Two-point linkage analysis yielded negative results for all models. Multipoint linkage analysis yielded negative results except for Model 1a, in which a maximal LOD score was -1.24. A mutation screen of Exons 3 and 4 was negative. Notch3 does not appear to be a candidate gene for BPD in this family.
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Affiliation(s)
- Eileen P Ahearn
- Department of Psychiatry, Duke University Medical Center, Durham, North Carolina, USA.
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11
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Bennett P, Segurado R, Jones I, Bort S, McCandless F, Lambert D, Heron J, Comerford C, Middle F, Corvin A, Pelios G, Kirov G, Larsen B, Mulcahy T, Williams N, O'Connell R, O'Mahony E, Payne A, Owen M, Holmans P, Craddock N, Gill M. The Wellcome trust UK-Irish bipolar affective disorder sibling-pair genome screen: first stage report. Mol Psychiatry 2002; 7:189-200. [PMID: 11840312 DOI: 10.1038/sj.mp.4000957] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2001] [Revised: 05/21/2001] [Accepted: 05/21/2001] [Indexed: 11/09/2022]
Abstract
We have completed the first stage of a two-stage genome wide screen designed to identify chromosomal regions that may harbour susceptibility genes for bipolar affective disorder. The first stage screening sample included 509 subjects from 151 nuclear families recruited within the United Kingdom and Republic of Ireland. This sample contained 154 narrowly defined affected sibling pairs (DSM-IV BPI) and 258 broadly defined affected sibling pairs (DSM-IV BPI, SABP, BPII, BPNOS or MDD(R)), approximately two thirds of all families contained at least one other additional typed individual. All individuals were genotyped using 398 highly polymorphic microsatellite markers from Applied Biosystems's Linkage Mapping Set Version 2. The average inter-marker distance was 9.6 cM and the mean heterozygosity was 0.78. Analysis of these data using non-parametric linkage methods (MAPMAKER/SIBS) found no evidence for loci of major effect and no regions reached genome-wide significance for either suggestive or significant linkage. We identified 19 points across the genome where the MLS exceeded a value set for follow up in our second stage screen (MLS > or = 0.74 (equivalent to a nominal pointwise significance of 5%) under the narrowest diagnostic model). These points were on chromosomes 2, 3, 4, 6, 7, 9, 10, 12, 17, 18 & X. Some of these points overlapped with previous linkage reports both within bipolar affective disorder and other psychiatric illnesses. Under the narrowest diagnostic model, the single most significant multipoint linkage was on chromosome 18 at marker D18S452 (MLS=1.54). Overall the highest MLS was 1.70 on chromosome 2 at marker D2S125, under the broadest diagnostic model.
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Affiliation(s)
- P Bennett
- Molecular Psychiatry Group, Division of Neuroscience, University of Birmingham, Queen Elizabeth Psychiatric Hospital, Edgbaston, Birmingham, B15 2QZ, UK
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12
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13
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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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14
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Abstract
1. Recent developments in technologies permit systematic screening of the entire human genome as a strategy for identification of susceptibility genes of small effect that influence risk to complex traits, like schizophrenia (Schz), inflammatory bowel disease, bipolar affective disorder (BPAD) etc. 2. Schizophrenia is known to have a high heritability and a complex inheritance pattern. Several studies provide evidence that both genes and environment play a role in the etiology of schizophrenia. Linkage studies have observed racial and sex bias in the genetic constitution of schizophrenia. Schizophrenia also manifests clinical anticipation and genomic imprinting. 3. "Dynamic mutations" or "tandem repeat expansions" in DNA, explain a number of observations associated with clinical anticipation and genomic imprinting. In patient populations, the repeat expands well beyond the normal range, altering the biological function of the gene. These sequence are unstable and increase in size between family members in successive generations, giving rise to greater severity of disease. 4. Several workers have reported an association of trinucleotide repeat length with adult- and child-onset schizophrenia. One such expanded allele has been found at the CTG18.1 locus on the 18th chromosome. Other genes known to have similar mutation are SEF2-1, which codes for a helix-loop-helix protein, hSKCa3 gene, which codes for a calcium-activated potassium channel and the transthyretin gene. In schizophrenic patients, significant difference in allele frequency distribution of these genes has been reported. 5. Population based genetic research would not only help identify different subgroups of this of schizophrenia.
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Affiliation(s)
- M Vaswani
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi
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15
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Liu J, Juo SH, Terwilliger JD, Grunn A, Tong X, Brito M, Loth JE, Kanyas K, Lerer B, Endicott J, Penchaszadeh G, Gilliam TC, Baron M. A follow-up linkage study supports evidence for a bipolar affective disorder locus on chromosome 21q22. AMERICAN JOURNAL OF MEDICAL GENETICS 2001; 105:189-94. [PMID: 11304836 DOI: 10.1002/ajmg.1195] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Evidence for linkage between bipolar affective disorder (BP) and 21q22 was first reported by our group in a single large pedigree with a lod score of 3.41 with the PFKL locus. In a subsequent study, with denser marker coverage in 40 multiplex BP pedigrees, we reported supporting evidence with a two-point lod score of 2.76 at the D21S1260 locus, about 6 cM proximal to PFKL. For cost-efficiency, the individuals genotyped in that study comprised a subset of our large pedigree sample. To augment our previous analysis, we now report a follow-up study including a larger sample set with an additional 331 typed individuals from the original 40 families, improved marker coverage, and an additional 16 pedigrees. The analysis of all 56 pedigrees (a total of 862 genotyped individuals vs. the 372 genotyped previously), the largest multigenerational BP pedigree sample reportedly analyzed to date, supports our previous results, with a two-point lod score of 3.56 with D21S1260. The 16 new pedigrees analyzed separately gave a maximum two-point lod score of 1.89 at D21S266, less than 1 cM proximal to D21S1260. Our results are consistent with a putative BP locus on 21q22.
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Affiliation(s)
- J Liu
- Columbia Genome Center, Columbia University, New York, New York, USA
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16
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Abstract
The identification of genes responsible for mood disorders will contribute to significant advances in the awareness of diagnosis (diagnostic process and early recognition), pathophysiology, epidemiology and treatment issues. During the past two decades, the search for genes for mood disorders has mainly contributed to better understand and confirm the genetic complexities inherent to these disorders. The large amount of results available and the difficulty to digest them corroborate this observation. The major contribution of these findings should be integrated in the context of the world-wide efforts to identify the thousands of genes of the human genome. Some of these genes may be identified within the next decade. Several consistent hypotheses are currently being tested and will, hopefully, speed up the process of narrowing the important regions when the complete genome map will be available. The most promising chromosomal regions have been localized on chromosomes 4, 5, 11, 12, 18, 21 and X. A number of candidate genes have also been investigated, some of these are directly linked to neurobiological hypotheses of the aetiology of affective disorders. In parallel, specific hypotheses have been implicated, such as anticipation and dynamic mutations. Further research should concentrate on these hypotheses and confirm positive findings through interdisciplinary and multicenter projects.
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Affiliation(s)
- D Souery
- Department of Psychiatry, University Clinics of Brussels, Erasme Hospital, 808 Route de Lennik, 1070, Brussels, Belgium.
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17
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Kosaki K, Suzuki T, Kosaki R, Yoshihashi H, Itoh M, Goto Y, Matsuo N. Human homolog of the mouse imprinted gene Impact resides at the pericentric region of chromosome 18 within the critical region for bipolar affective disorder. Mol Psychiatry 2001; 6:87-91. [PMID: 11244491 DOI: 10.1038/sj.mp.4000799] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Several mapping studies of families with multiple individuals who have bipolar affective disorder (BPAD) have demonstrated possible linkage of the trait to the pericentric region of chromosome 18 (18cen). Currently, the large size of the critical interval defined by these studies makes effective selection of candidate genes formidable. However, documentation of 18cen-linked families in which a parent-of-origin effect was observed in the transmission of the BPAD trait provides a clue to the nature of the putative gene; it may be imprinted. In the present study, we cloned IMPACT, the human homolog of the mouse imprinted gene Impact and mapped it to 18cen within the critical interval for BPAD. Human IMPACT encodes a protein with 320 amino acids and is expressed at high levels in the brain. Since only a small number of imprinted genes are estimated to be present in the entire genome, very few imprinted genes would be expected to be present in this particular chromosomal region. Hence, IMPACT represents a candidate gene for BPAD susceptibility. Alternatively, other as yet unknown imprinted gene(s) adjacent to IMPACT could contribute to the BPAD trait, since multiple imprinted genes may occasionally form clusters. Localization of human IMPACT at 18cen in this study defines a promising target region in which to search for putative BPAD genes.
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Affiliation(s)
- K Kosaki
- Department of Pediatrics, Keio University School of Medicine, Tokyo, 160-8582, Japan.
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18
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19
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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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20
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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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21
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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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22
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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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23
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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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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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Avissar S. The role of G proteins in the psychobiology and treatment of affective disorders and their integration with the neurotransmitter hypothesis. Curr Psychiatry Rep 1999; 1:148-53. [PMID: 11122917 DOI: 10.1007/s11920-999-0024-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Heterotrimeric G proteins are a crucial point of convergence in the transmission of signals from a variety of primary messengers and their membrane receptors to downstream intracellular second messenger effector enzymes and ionic channels. Thus, these proteins have raised increasing interest in the clinical perspective of altered G protein function. This article addresses the most recent significant findings regarding the role of G proteins in the pathophysiology of mood disorders and in the molecular mechanisms underlying the treatment of these disorders, with emphasis on biochemical and genetic approaches.
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Affiliation(s)
- S Avissar
- Department of Clinical Pharmacology, Ben Gurion University of the Negev, PO Box 653, Beer Sheva 84105, Israel
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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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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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Van Broeckhoven C, Verheyen G, Ewald A, Gershon E, Hampson R, Kaneva R, Kelsoe J, McMahon F, Todd R, Vorsanova S, Wildenauer D, Williams N. Report of the chromosome 18 workshop. ACTA ACUST UNITED AC 1999. [DOI: 10.1002/(sici)1096-8628(19990618)88:3<263::aid-ajmg10>3.0.co;2-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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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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31
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Baron M. Optimal ascertainment strategies to detect linkage to common disease alleles. Am J Hum Genet 1999; 64:1243-8. [PMID: 10090916 PMCID: PMC1377855 DOI: 10.1086/302336] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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32
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Badner JA, Gershon ES, Goldin LR. Reply to Baron. Am J Hum Genet 1999. [DOI: 10.1086/302349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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