R
Reyhan Sonmez
Researcher at University of Lausanne
Publications - 4
Citations - 571
Reyhan Sonmez is an academic researcher from University of Lausanne. The author has contributed to research in topics: Expression quantitative trait loci & Genome-wide association study. The author has an hindex of 3, co-authored 4 publications receiving 478 citations. Previous affiliations of Reyhan Sonmez include Swiss Institute of Bioinformatics.
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Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Urmo Võsa,Annique Claringbould,Harm-Jan Westra,Marc Jan Bonder,Patrick Deelen,Biao Zeng,Holger Kirsten,Ashis Saha,Roman Kreuzhuber,Silva Kasela,Natalia Pervjakova,Alvaes I,Marie-Julie Favé,Mawusse Agbessi,Mark W. Christiansen,Rick Jansen,Ilkka Seppälä,Lin Tong,Alexander Teumer,Katharina Schramm,Gibran Hemani,Joost Verlouw,Hanieh Yaghootkar,Reyhan Sonmez,Andrew A. Brown,Andrew A. Brown,Kukushkina,Anette Kalnapenkis,Sina Rüeger,Eleonora Porcu,Jaanika Kronberg-Guzman,Jarno Kettunen,Joseph E. Powell,Bernett Lee,Futao Zhang,Wibowo Arindrarto,Frank Beutner,Harm Brugge,Dmitreva J,Mahmoud Elansary,Benjamin P. Fairfax,Michel Georges,Bastiaan T. Heijmans,Mika Kähönen,Yungil Kim,Julian C. Knight,Peter Kovacs,Knut Krohn,Shuang Li,Markus Loeffler,Urko M. Marigorta,Hailiang Mei,Yukihide Momozawa,Martina Müller-Nurasyid,Matthias Nauck,Michel G. Nivard,Brenda W.J.H. Penninx,Jonathan K. Pritchard,Olli T. Raitakari,Rotzchke O,Eline Slagboom,Coen D.A. Stehouwer,Michael Stumvoll,Patrick F. Sullivan,Peter A C 't Hoen,Joachim Thiery,Anke Tönjes,van Dongen J,van Iterson M,Jan H. Veldink,Uwe Völker,C Wijmenga,Morris A. Swertz,Anand Kumar Andiappan,Grant W. Montgomery,Samuli Ripatti,Markus Perola,Z. Kutalik,Emmanouil T. Dermitzakis,Sven Bergmann,Timothy M. Frayling,van Meurs J,Holger Prokisch,Habibul Ahsan,Brandon L. Pierce,Terho Lehtimäki,D.I. Boomsma,Bruce M. Psaty,Sina A. Gharib,Philip Awadalla,Lili Milani,Willem H. Ouwehand,Kate Downes,Oliver Stegle,Alexis Battle,Jian Yang,Peter M. Visscher,Markus Scholz,Greg Gibson,Tõnu Esko,Lude Franke +100 more
TL;DR: It is observed that cis-eQTLs can be detected for 88% of the studied genes, but that they have a different genetic architecture compared to disease-associated variants, limiting the ability to use cis- eZTLs to pinpoint causal genes within susceptibility loci.
Journal ArticleDOI
cis-Acting Complex-Trait-Associated lincRNA Expression Correlates with Modulation of Chromosomal Architecture.
Jennifer Y. Tan,Adam Alexander T. Smith,Maria Ferreira da Silva,Cyril Matthey-Doret,Rico Rueedi,Rico Rueedi,Reyhan Sonmez,Reyhan Sonmez,David Ding,Zoltán Kutalik,Sven Bergmann,Sven Bergmann,Ana C. Marques +12 more
TL;DR: Evidence is provided that TR-lincRNAs likely regulate proximal trait-relevant gene expression in cis by modulating local chromosomal architecture, consistent with the positive and significant correlation found between TR- lincRNA abundance and intra-TAD DNA-DNA contacts.
Journal ArticleDOI
Automated Analysis of Large-Scale NMR Data Generates Metabolomic Signatures and Links Them to Candidate Metabolites.
Bita Khalili,Bita Khalili,Mattia Tomasoni,Mattia Tomasoni,Mirjam Mattei,Mirjam Mattei,Roger Mallol Parera,Roger Mallol Parera,Reyhan Sonmez,Reyhan Sonmez,Daniel Krefl,Daniel Krefl,Rico Rueedi,Rico Rueedi,Sven Bergmann,Sven Bergmann,Sven Bergmann +16 more
TL;DR: This work tested the capacity of three analysis tools to extract metabolite signatures from 968 NMR profiles of human urine samples and concluded that ISA and ACP can robustly identify ten and nine metabolites, respectively, half of which were shared, while PCA did not produce any signatures with robust matches.
Posted ContentDOI
Automated analysis of large-scale NMR data generates metabolomic signatures and links them to candidate metabolites
Bita Khalili,Bita Khalili,Mattia Tomasoni,Mattia Tomasoni,Mirjam Mattei,Mirjam Mattei,Roger Mallol Parera,Roger Mallol Parera,Reyhan Sonmez,Reyhan Sonmez,Daniel Krefl,Daniel Krefl,Rico Rueedi,Rico Rueedi,Sven Bergmann,Sven Bergmann,Sven Bergmann +16 more
TL;DR: This work test the capacity of three analysis tools to extract metabolite signatures from 968 NMR profiles of human urine samples and concludes that both ISA and ACP can robustly identify about a dozen metabolites, half of which were shared, while PCA did not produce any signatures with robust matches.