A
Armand Valsesia
Researcher at Nestlé
Publications - 75
Citations - 12031
Armand Valsesia is an academic researcher from Nestlé. The author has contributed to research in topics: Weight loss & Genome-wide association study. The author has an hindex of 24, co-authored 73 publications receiving 11138 citations. Previous affiliations of Armand Valsesia include Swiss Institute of Bioinformatics & Wellcome Trust Sanger Institute.
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Journal ArticleDOI
The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation
Armand Valsesia,Aurélien Macé,Aurélien Macé,Sébastien Jacquemont,Jacques S. Beckmann,Jacques S. Beckmann,Jacques S. Beckmann,Zoltán Kutalik,Zoltán Kutalik,Zoltán Kutalik +9 more
TL;DR: The importance of germline CNVs is emphasized, strategies to aid clinicians to better interpret structural variations and assess their clinical implications are proposed and better tools for detection and genome-wide analyses of CNVs are proposed.
Journal ArticleDOI
Identification of ALK in Thinness
Michael Orthofer,Armand Valsesia,Reedik Mägi,Qiao-Ping Wang,Joanna Kaczanowska,Ivona Kozieradzki,Alexandra Leopoldi,Domagoj Cikes,Lydia M. Zopf,Evgenii O. Tretiakov,Egon Demetz,Richard Hilbe,Anna Boehm,Melita Ticevic,Margit Nõukas,Alexander Jais,Katrin Spirk,Teleri Clark,Sabine Amann,Maarja Lepamets,Christoph Neumayr,Cosmas D. Arnold,Zhengchao Dou,Volker Kuhn,Maria Novatchkova,Shane J. F. Cronin,Uwe J. F. Tietge,Uwe J. F. Tietge,Simone Müller,J. Andrew Pospisilik,Vanja Nagy,Chi-chung Hui,Jelena Lazovic,Harald Esterbauer,Astrid Hagelkruys,Ivan Tancevski,Florian W. Kiefer,Tibor Harkany,Wulf Haubensak,G. Gregory Neely,Andres Metspalu,Jörg Hager,Nele Gheldof,Josef M. Penninger,Josef M. Penninger +44 more
TL;DR: This work performed a GWAS on metabolically healthy thin individuals (lowest 6th percentile of the population-wide BMI spectrum) in a uniquely phenotyped Estonian cohort and discovered anaplastic lymphoma kinase (ALK) as a candidate thinness gene.
Journal ArticleDOI
Network-Guided Analysis of Genes with Altered Somatic Copy Number and Gene Expression Reveals Pathways Commonly Perturbed in Metastatic Melanoma
Armand Valsesia,Armand Valsesia,Armand Valsesia,Donata Rimoldi,Danielle Martinet,Mark Ibberson,Paola Benaglio,Manfredo Quadroni,Patrice Waridel,Muriel Gaillard,Mireille Pidoux,Blandine Rapin,Carlo Rivolta,Ioannis Xenarios,Andrew J. G. Simpson,Stylianos E. Antonarakis,Jacques S. Beckmann,Jacques S. Beckmann,C. Victor Jongeneel,C. Victor Jongeneel,C. Victor Jongeneel,Christian Iseli,Christian Iseli,Brian Stevenson,Brian Stevenson +24 more
TL;DR: The results emphasize the potential of the EPHA3 and FRS2 gene products, involved in angiogenesis and migration, as possible therapeutic targets in melanoma and demonstrates the utility of network-guided approaches, for both large and small datasets, to identify pathways recurrently perturbed in cancer.
Journal ArticleDOI
Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator.
Jérôme Carayol,Christian Chabert,Alessandro Di Cara,Claudia Armenise,Gregory Lefebvre,Dominique Langin,Nathalie Viguerie,Sylviane Metairon,Wim H. M. Saris,Arne Astrup,Patrick Descombes,Armand Valsesia,Jörg Hager +12 more
TL;DR: A large-scale protein quantitative trait locus (pQTL) analysis is designed based on a set of 1129 proteins from 494 obese subjects before and after a weight loss intervention and FAM46A is identified and validated as a trans regulator for leptin in adipocytes.
Journal ArticleDOI
Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects
Claudia Armenise,Gregory Lefebvre,Jérôme Carayol,Sophie Bonnel,Jennifer Bolton,Alessandro Di Cara,Nele Gheldof,Patrick Descombes,Dominique Langin,Dominique Langin,Wim H. M. Saris,Arne Astrup,Jörg Hager,Nathalie Viguerie,Armand Valsesia +14 more
TL;DR: Gene expression combined with clinical variables enabled us to distinguish weight and glycemic responders from nonresponders and may help clinicians understand intersubject variability and better predict the success of dietary interventions.