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result sql = Copy variations in schizophrenia and bipolar disorder.
Copy variations in schizophrenia and bipolar disorder.
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char = N;code = 78
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char = s;code = 115
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char = d;code = 100
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char = o;code = 111
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char = e;code = 101
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char = t;code = 116
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char = n;code = 110
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char = s;code = 115
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char = c;code = 99
char = e;code = 101
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char = b;code = 98
char = i;code = 105
char = l;code = 108
char = i;code = 105
char = t;code = 116
char = y;code = 121
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char = s;code = 115
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char = n;code = 110
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char = e;code = 101
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char = i;code = 105
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char = ;code = 32
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char = s;code = 115
char = o;code = 111
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char = a;code = 97
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char = i;code = 105
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char = .;code = 46
char = ;code = 32
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char = t;code = 116
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char = o;code = 111
char = u;code = 117
char = g;code = 103
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char = ;code = 32
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char = e;code = 101
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char = y;code = 121
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char = i;code = 105
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char = ;code = 32
char = o;code = 111
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char = ;code = 32
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char = V;code = 86
char = s;code = 115
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char = n;code = 110
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char = c;code = 99
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char = a;code = 97
char = t;code = 116
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char = i;code = 105
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char = d;code = 100
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char = ;code = 32
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char = i;code = 105
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char = a;code = 97
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char = o;code = 111
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char = i;code = 105
char = v;code = 118
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char = e;code = 101
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char = n;code = 110
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char = n;code = 110
char = g;code = 103
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char = v;code = 118
char = e;code = 101
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char = a;code = 97
char = d;code = 100
char = y;code = 121
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char = e;code = 101
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char = s;code = 115
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char = i;code = 105
char = n;code = 110
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char = ;code = 32
char = t;code = 116
char = h;code = 104
char = a;code = 97
char = t;code = 116
char = ;code = 32
char = t;code = 116
char = h;code = 104
char = i;code = 105
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char = ;code = 32
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char = n;code = 110
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char = o;code = 111
char = f;code = 102
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result sql = The analysis of copy number variations (CNVs) is an emerging tool for identifying genetic factors underlying complex traits. In this chapter I will review studies that have been carried out showing that CNVs play a role in the development of two such complex traits; schizophrenia (SZ) and bipolar disorder (BD). There are two aspects to consider regarding the role of copy variations in these conditions. One is gene discovery in which DNA from patients is analyzed for the purpose of identifying rare, patient-specific CNVs that may be informative to a larger population of affected individuals. The model for this concept is based on the emergence of DISC1 as a SZ candidate gene, which was discovered in a single informative family with a rare chromosomal translocation. Another aspect revolves around the idea that polymorphic CNVs found in the general population, many of which appear to disrupt previously identified SZ and BD candidate genes, contribute to disease pathogenesis. Here, gene-disrupting CNVs are viewed in the same manner as functional SNPs and analyzed for involvement in disease susceptibility using genetic association. Although the analysis of CNVs in patients with psychiatric disorders is in its infancy, informative new findings have already been made, suggesting that this is a very promising line of research.

Publication: Cytogenet. Genome Res. 2008 ;123(1-4)::27-35. :doi: 10.1159/000184689.
Publication Date: 2008
Study Author(s): Lachman, H M;
Institution: Department of Psychiatry and Behavioral Sciences, Division of Basic Research Albert Einstein College of Medicine, Bronx, New York, USA. [email protected]
Shortcut link to this study:
The analysis of copy number variations (CNVs) is an emerging tool for identifying genetic factors underlying complex traits. In this chapter I will review studies that have been carried out showing that CNVs play a role in the development of two such complex traits; schizophrenia (SZ) and bipolar disorder (BD). There are two aspects to consider regarding the role of copy variations in these conditions. One is gene discovery in which DNA from patients is analyzed for the purpose of identifying rare, patient-specific CNVs that may be informative to a larger population of affected individuals. The model for this concept is based on the emergence of DISC1 as a SZ candidate gene, which was discovered in a single informative family with a rare chromosomal translocation. Another aspect revolves around the idea that polymorphic CNVs found in the general population, many of which appear to disrupt previously identified SZ and BD candidate genes, contribute to disease pathogenesis. Here, gene-disrupting CNVs are viewed in the same manner as functional SNPs and analyzed for involvement in disease susceptibility using genetic association. Although the analysis of CNVs in patients with psychiatric disorders is in its infancy, informative new findings have already been made, suggesting that this is a very promising line of research.
PMID: 19287136

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