Serono Genetics Institute S.a.

Genset

Genset S.a.

Laurent Essioux

Daniel Cohen

Marta Blumenfeld

Ilya Chumakov

Lydie Bougueleret

Bernard Bihain

Annick Cohen-Akenine

Nicholas J Schork

The invention concerns the human sbg1, g34665, sbg2, g35017 and g35018 genes, polynucleotides, polypeptides biallelic markers, and human chromosome 13q31-q33 biallelic markers. The invention also concerns the association established between schizophrenia and bipolar disorder and the biallelic markers and the sbg1, g34665, sbg2, g35017 and g35018 genes and nucleotide sequences. The invention provides means to identify compounds useful in the treatment of schizophrenia, bipolar disorder and related diseases, means to determine the predisposition of individuals to said disease as well as means for the disease diagnosis and prognosis.

Schizophrenia associated genes, proteins and biallelic markers

The invention concerns the human g35030 gene, polynucleotides, polypeptides biallelic markers, and human chromosome 13q31-q33 biallelic markers. The invention also concerns the association established between schizophrenia and bipolar disorder and the biallelic markers and the g35030 gene and nucleotide sequences. The invention provides means to identify compounds useful in the treatment of schizophrenia, bipolar disorder and related diseases, means to determine the predisposition of individuals to said disease as well as means for the disease diagnosis and prognosis.

Schizophrenia associated gene, proteins and biallelic markers

The present invention relates to methods, software, and apparati for determining whether a genomic region harbors a gene associated with a detectable trait. In one embodiment, the present invention relates to a method of confirming that a genomic region harbors a gene associated with a detectable trait comprising the steps of identifying a candidate genomic region suspected of harboring the gene associated with the detectable trait, constructing a trait-associated distribution of association values using the biallelic markers in the candidate genomic region, identifying a plurality of biallelic markers in random genomic regions which are not suspected of harboring the gene associated with the detectable trait, constructing a random distribution of association values using the biallelic markers in the random genomic regions, comparing the trait-associated distribution of association values to the random distribution of association values, and determining whether the trait-associated distribution of association values and the random distribution of association values are significantly different from one another. In other embodiments, the present invention comprises software for performing the above method and devices comprising the software in a retrievable form.

Methods, software and apparati for identifying genomic regions harboring a gene associated with a detectable trait

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Paris, France

Laurent Essioux