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M

M. Ruggeri

Researcher at University of Verona

Publications -  6
Citations -  337

M. Ruggeri is an academic researcher from University of Verona. The author has contributed to research in topics: Genome-wide association study & Odds ratio. The author has an hindex of 5, co-authored 6 publications receiving 318 citations. Previous affiliations of M. Ruggeri include University of Mannheim & Heidelberg University.

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Journal ArticleDOI

Association between genetic variation in a region on chromosome 11 and schizophrenia in large samples from Europe

Marcella Rietschel, +106 more
- 01 Sep 2012 - 
TL;DR: In this article, the authors performed a genome-wide association study (GWAS) of 1169 clinically well characterized and ethnically homogeneous SCZ patients from a confined area of Western Europe (464 from Germany, 705 from The Netherlands) and 3714 ethnically matched controls (1272 and 2442, respectively).
Journal ArticleDOI

At-Risk Variant in TCF7L2 for Type II Diabetes Increases Risk of Schizophrenia

TL;DR: The association reported here with a well-known diabetes variant suggests that the observed comorbidity is partially caused by genetic risk variants, and demonstrates how genetic studies can successfully examine an epidemiologically derived hypothesis of comorbridity.
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Schizophrenia genetic variants are not associated with intelligence.

A. F. Terwisscha van Scheltinga, +201 more
TL;DR: In this article, the authors found that rare and common schizophrenia-associated variants do not explain the variation in IQ in healthy subjects or in schizophrenia patients, and that reductions in IQ may be secondary to other processes related to schizophrenia risk.

Schizophrenia genetic variants are not associated with intelligence | NOVA. The University of Newcastle's Digital Repository

A. F. Terwisscha van Scheltinga, +200 more
Journal ArticleDOI

Replication Study and Meta-Analysis in European Samples Supports Association of the 3p21.1 Locus with Bipolar Disorder

Evangelos Vassos, +59 more
TL;DR: In this article, a meta-analysis of previously published data with their nonoverlapping new data confirmed genome-wide significant association (OR =.875, p = 2.68 × 10 −9 ).