Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Ting Qi, Yang Wu, Jian Zeng, Futao Zhang, Angli Xue, Longda Jiang, Zhihong Zhu, Kathryn E. Kemper, Loïc Yengo, Zhili Zheng, Mawussé Agbessi, Habibul Ahsan, Isabel Alves, Anand Kumar Andiappan, Philip Awadalla, Alexis Battle, Frank Beutner, Marc Jan Bonder, Dorret I. Boomsma, Mark Christiansen, Annique Claringbould, Patrick Deelen, Tōnu Esko, Marie-Julie Favé, Lude Franke, Timothy M. Frayling, Sina A. Gharib, Gregory Gibson, Gibran Hemani, Rick Jansen, Mika Kähönen, Anette Kalnapenkis, Silva Kasela, Johannes Kettunen, Yungil Kim, Holger Kirsten, Péter Kovács, Knut Krohn, Jaanika Kronberg-Guzman, Viktorija Kukushkina, Zoltán Kutalik, Bernett Lee, Terho Lehtimäki, Markus Loeffler, Urko M. Marigorta, Andres Metspalu, Lili Milani, Martina Müller‐Nurasyid, Matthias Nauck, Michel G. Nivard, Brenda W.J.H. Penninx, Markus Perola, Natalia Pervjakova, Brandon L. Pierce, Joseph E. Powell, Holger Prokisch, Bruce M. Psaty, Olli T. Raitakari, Susan M. Ring, Samuli Ripatti, Olaf Rötzschke, Sina Rüeger, Ashis Saha, Markus Scholz, Katharina Schramm, Ilkka Seppälä, Michael Stümvoll, Patrick Sullivan, Alexander Teumer, Joachim Thiery, Tong Lin, Anke Tönjes, Jenny van Dongen, Joyce B. J. van Meurs, Joost Verlouw, Uwe Völker, Urmo Võsa, Hanieh Yaghootkar, Biao Zeng, Riccardo E. Marioni, Grant W. Montgomery, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang

Nature Communications · 2018

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Summary

). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples ([Formula: see text] for cis-eQTLs and [Formula: see text] for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes.

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1038/s41467-018-04558-1
Catalogue ID
SNmoixo236-95u3au
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