Abstract: The present invention provides a method of assessing type 2 diabetes susceptibility and/or predicting treatment responsiveness in a human subject, the method comprising determining the identity of at least one allele at each of three or more positions of single nucleotide polymorphism (SNP) selected from the group consisting of: SLC16A11-rs75493593; HNF1A-rs483353044; TCF7L2-rs7903146; CDKN2A/B-rs10811661; CDKAL1-rs7756992; SLC30A8-rs3802177; IGF2BP2-rs4402960; FTO-rs9936385; PPARG-rs1801282; HHEX/IDE-rs1111875; ADCYS-rs11717195; JAZF1-rs849135; WSF1-rs4458523; INS-IGF2-rs149483638; KCNQ1-rs2237897; and KCNJ11-rs5219, and/or an SNP in linkage disequilibrium with any one of said SNPs at r2>0.8. Also provided are a genotyping tool and a type 2 diabetes risk assessment system for use in the method of the invention.

Abstract: The present invention refers to oxadiazole compounds suitable as HDAC6 inhibitors. Processes for their preparation and their medical uses in treating HDAC6-related diseases or disorders are also disclosed.

Abstract: Provided is a method of assessing Gestational Diabetes Mellitus (GDM) susceptibility in a female human subject, the method comprising determining the identity of at least one allele at each of at least two positions of single nucleotide polymorphism (SNP) selected from: TCF7L2—rs7903146; IGF2BP2—rs4402960; CDKN2A/B—rs10811661; SLC16A11—rs13342232; FTO—rs8050136; SLC30A8—rs13266634; CDC123/CAMK1D—rs12779790; KCNQ1—rs2237892; CUBN—rs11254363; CUBN—rs1801222; FIGN—rs2119289; FIGN—rs982393; MTHFR—rs1801131; MTHFR—rs1801133; MTR—rs1805087; and SLC19A1—rs1051266, and/or an SNP in linkage disequilibrium therewith at r2>0.8. Also provided are genotyping tools and risk assessment systems for use in the method of assessing GDM susceptibility.

Abstract: The present invention provides a method of assessing type 2 diabetes susceptibility and/or predicting treatment responsiveness in a human subject, the method comprising determining the identity of at least one allele at each of three or more positions of single nucleotide polymorphism (SNP) selected from the group consisting of: SLC16A11-rs75493593; HNF1A-rs483353044; TCF7L2-rs7903146; CDKN2A/B-rs10811661; CDKAL1-rs7756992; SLC30A8-rs3802177; IGF2BP2-rs4402960; FTO-rs9936385; PPARG-rs1801282; HHEX/IDE-rs1111875; ADCYS-rs11717195; JAZF1-rs849135; WSF1-rs4458523; INS-IGF2-rs149483638; KCNQ1-rs2237897; and KCNJ11-rs5219, and/or an SNP in linkage disequilibrium with any one of said SNPs at r2>0.8. Also provided are a genotyping tool and a type 2 diabetes risk assessment system for use in the method of the invention.

Abstract: Provided is a method of assessing Gestational Diabetes Mellitus (GDM) susceptibility in a female human subject, the method comprising determining the identity of at least one allele at each of at least two positions of single nucleotide polymorphism (SNP) selected from: TCF7L2—rs7903146; IGF2BP2—rs4402960; CDKN2A/B—rs10811661; SLC16A11—rs13342232; FTO—rs8050136; SLC30A8—rs13266634; CDC123/CAMK1D—rs12779790; KCNQ1—rs2237892; CUBN—rs11254363; CUBN—rs1801222; FIGN—rs2119289; FIGN—rs982393; MTHFR—rs1801131; MTHFR—rs1801133; MTR—rs1805087; and SLC19A1—rs1051266, and/or an SNP in linkage disequilibrium therewith at r2>0.8. Also provided are genotyping tools and risk assessment systems for use in the method of assessing GDM susceptibility.

Abstract: The invention relates to the field of personalized therapy and, in particular, to a method for classifying a patient suffering from rheumatoid arthritis as a responder or as a non-responder patient to a treatment based on a biological drug.

Abstract: The present invention provides a method of assessing type 2 diabetes susceptibility and/or predicting treatment responsiveness in a human subject, the method comprising determining the identity of at least one allele at each of three or more positions of single nucleotide polymorphism (SNP) selected from the group consisting of: SLC16A11—rs75493593; HNF1A—rs483353044; TCF7L2—rs7903146; CDKN2A/B—rs10811661; CDKAL1—rs7756992; SLC30A8—rs3802177; IGF2BP2—rs4402960; FTO—rs9936385; PPARG—rs1801282; HHEX/IDE—rs1111875; ADCY5—rs11717195; JAZF1—rs849135; WSF1—rs4458523; INS—IGF2—rs149483638; KCNQ1—rs2237897; and KCNJ11—rs5219, and/or an SNP in linkage disequilibrium with any one of said SNPs at r2>0.8. Also provided are a genotyping tool and a type 2 diabetes risk assessment system for use in the method of the invention.

Abstract: The present invention relates to in vitro methods and products for detecting the presence of an invasive carcinoma in an individual, for determining and/or predicting the stage and/or invasiveness of said carcinoma in an individual, or for monitoring the effect of the therapy administered to an individual who has said carcinoma based on col11a1 gene and proCOL11A1 protein expression. The invention also relates to the search for, identification, development and evaluation of the efficacy of compounds for therapy for said carcinoma, for the purpose of developing new medicinal products. The invention also relates to agents inhibiting proCOL11A1 protein expression and/or activity, and/or the effects of this expression.

Abstract: The invention relates to the field of personalized therapy and, in particular, to a method for classifying a patient suffering from rheumatoid arthritis as a responder or as a non-responder patient to a treatment based on a biological drug.

Abstract: The present invention relates to methods and products for the diagnosis and prognosis of ovarian tumor malignancy based on proCOL11A1 protein which is expressed in malignant ovarian tumors but not in non-tumoral ovarian tissue or in situ or benign or borderline ovarian tumors. proCOL11A1-specific antibodies can be used for high sensitivity and specificity diagnosis of ovarian cancer as well as for differentiating malignant ovarian tumors from benign or in situ tumors, and for the prognosis of ovarian tumor malignancy and for predicting borderline tumor malignancy. The invention has application in in vitro methods for the diagnosis and prognosis of ovarian tumor malignancy.

Abstract: A non-human transgenic animal having a polynucleotide encoding an STXBP1 polypeptide, which polynucleotide is operably linked to a promoter, wherein said transgenic animal has greater than wild-type expression of the STXBP1 polypeptide in at least one brain region, as well as related vectors, methods of producing transgenic animals, in vitro and in vivo screening methods for potential therapeutic agents, and methods for treating and diagnosing neuropsychiatric illness are disclosed.

Abstract: A method for prognosing recurrence of prostate cancer (PCa) in a subject following prostatectomy using the outcomes of selected single nucleotide polymorphisms (SNPs) and clinical variables. A method for genotyping PCa associated genetic variations comprising use of a DNA microarray. A microarray for use in the described methods.

Abstract: The present invention relates to in vitro methods and products for prognosticating clinical progression or predicting the risk and type of recurrence of a papillary lesion of the breast based on proCOL11A1 protein expression, for the purpose of determining the treatment and follow-up regimen that are most suited to each patient.

Abstract: The present invention relates to in vitro methods and products for detecting the presence of an invasive carcinoma in an individual, for determining and/or predicting the stage and/or invasiveness of said carcinoma in an individual, or for monitoring the effect of the therapy administered to an individual who has said carcinoma based on col11a1 gene and proCOL11A1 protein expression. The invention also relates to the search for, identification, development and evaluation of the efficacy of compounds for therapy for said carcinoma, for the purpose of developing new medicinal products. The invention also relates to agents inhibiting proCOL11A1 protein expression and/or activity, and/or the effects of this expression.

Abstract: A method for prognosing recurrence of prostate cancer (PCa) in a subject following prostatectomy using the outcomes of selected single nucleotide polymorphisms (SNPs) and clinical variables. A method for genotyping PCa associated genetic variations comprising use of a DNA microarray. A microarray for use in the described methods.

Abstract: The present invention relates to a group of epilepsy biomarkers comprising (i) SNP rs2740574; (ii) SNP rs1799735; (iii) SNP rs1695; (iv) SNP rs6280; and the locus of the human glutathione S-transferase theta-1 (GSTT1) gene. The invention particularly relates to this group of biomarkers as marker for protection against drug-resistant epilepsy. The group of biomarkers may additionally comprise at least one clinical marker selected from the group comprising (i) a focal seizure with secondary generalization; (ii) age at confirmed diagnosis of epilepsy; (iii) atrophy of hippocampus or medial temporal sclerosis; and (iv) the presence of a brain tumor.

Abstract: A method for prognosing a rheumatoid arthritis phenotype using the outcomes of selected single nucleotide polymorphisms (SNPs) and clinical variables. A method for genotyping multiple rheumatoid arthritis associated genetic variations comprising use of a DNA microrarray. A microarray for use in the described methods.

Abstract: The present invention refers to a group of biomarkers and to non-invasive in vitro methods for the diagnosis or prognosis of endometriosis, as well as to a kit to perform said methods.

Abstract: The invention relates to the field of personalized therapy and, in particular, to a method for classifying a patient suffering from rheumatoid arthritis as a responder or as a non-responder patient to a treatment based on a biological drug.

Abstract: The present invention relates to a series of genes the expression of which is altered in subjects suffering multiple sclerosis with respect to healthy subjects or in subjects suffering multiple sclerosis with a good prognosis with respect to subjects suffering multiple sclerosis with a bad prognosis. A subset formed by 13 genes and two clinical variables which allows predicting the progress of a patient with a high reliability has been validated from an initial set of genes which showed said differential expression. From said expression values, the invention provides methods for predicting the progress of a patient diagnosed with multiple sclerosis from tables of conditional probability between the expression levels of a determined gene or group of genes and the probability that the patient has a good or bad prognosis of the disease.