B
Biao Zeng
Researcher at Georgia Institute of Technology
Publications - 38
Citations - 2488
Biao Zeng is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Expression quantitative trait loci & Gene. The author has an hindex of 14, co-authored 30 publications receiving 1678 citations. Previous affiliations of Biao Zeng include Icahn School of Medicine at Mount Sinai & China Agricultural University.
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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
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
Urmo Võsa,Annique Claringbould,Annique Claringbould,Harm-Jan Westra,Marc Jan Bonder,Patrick Deelen,Biao Zeng,Holger Kirsten,Ashis Saha,Roman Kreuzhuber,Roman Kreuzhuber,Roman Kreuzhuber,Seyhan Yazar,Harm Brugge,Roy Oelen,Dylan H. de Vries,Monique G. P. van der Wijst,Silva Kasela,Natalia Pervjakova,Isabel Alves,Marie-Julie Favé,Mawusse Agbessi,Mark W. Christiansen,Rick Jansen,Ilkka Seppälä,Lin Tong,Alexander Teumer,Katharina Schramm,Gibran Hemani,Joost Verlouw,Hanieh Yaghootkar,Hanieh Yaghootkar,Hanieh Yaghootkar,Reyhan Sönmez Flitman,Reyhan Sönmez Flitman,Andrew A. Brown,Andrew A. Brown,Viktorija Kukushkina,Anette Kalnapenkis,Sina Rüeger,Eleonora Porcu,Jaanika Kronberg,Johannes Kettunen,Bernett Lee,Futao Zhang,Ting Qi,Jose Alquicira Hernandez,Wibowo Arindrarto,Frank Beutner,Peter A C 't Hoen,Joyce B. J. van Meurs,Jenny van Dongen,Maarten van Iterson,Morris A. Swertz,Julia Dmitrieva,Mahmoud Elansary,Benjamin P. Fairfax,Michel Georges,Bastiaan T. Heijmans,Alex W. Hewitt,Mika Kähönen,Yungil Kim,Yungil Kim,Julian C. Knight,Peter Kovacs,Knut Krohn,Shuang Li,Markus Loeffler,Urko M. Marigorta,Urko M. Marigorta,Hailang Mei,Yukihide Momozawa,Martina Müller-Nurasyid,Matthias Nauck,Michel G. Nivard,Brenda W.J.H. Penninx,Jonathan K. Pritchard,Olli T. Raitakari,Olli T. Raitakari,Olaf Rötzschke,Eline Slagboom,Coen D.A. Stehouwer,Michael Stumvoll,Patrick F. Sullivan,Joachim Thiery,Anke Tönjes,Jan H. Veldink,Uwe Völker,Robert Warmerdam,Cisca Wijmenga,Morris Swertz,Anand Kumar Andiappan,Grant W. Montgomery,Samuli Ripatti,Markus Perola,Zoltán Kutalik,Emmanouil T. Dermitzakis,Emmanouil T. Dermitzakis,Sven Bergmann,Sven Bergmann,Timothy M. Frayling,Holger Prokisch,Habibul Ahsan,Brandon L. Pierce,Terho Lehtimäki,Dorret I. Boomsma,Bruce M. Psaty,Sina A. Gharib,Philip Awadalla,Lili Milani,Willem H. Ouwehand,Willem H. Ouwehand,Willem H. Ouwehand,Kate Downes,Kate Downes,Oliver Stegle,Oliver Stegle,Alexis Battle,Peter M. Visscher,Jian Yang,Jian Yang,Markus Scholz,Joseph E. Powell,Joseph E. Powell,Greg Gibson,Tõnu Esko,Lude Franke +126 more
TL;DR: In this article, the authors performed cis-and trans-expression quantitative trait locus (eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium.
Journal ArticleDOI
Genome-wide genetic changes during modern breeding of maize
Yinping Jiao,Hainan Zhao,Longhui Ren,Weibin Song,Biao Zeng,Jinjie Guo,Baobao Wang,Zhipeng Liu,Jing Chen,Wei Li,Mei Zhang,Shaojun Xie,Jinsheng Lai +12 more
TL;DR: The sequencing of 278 temperate maize inbred lines from different stages of breeding history, including deep resequencing of 4 lines with known pedigree information, shows that modern breeding has introduced highly dynamic genetic changes into the maize genome.
Journal ArticleDOI
Dynamic Transcriptome Landscape of Maize Embryo and Endosperm Development
TL;DR: A high-resolution spatiotemporal transcriptome atlas of maize seed uncovers the genetic control of embryo and endosperm development and correlation of gene expression with the pattern of DNA methylation revealed that hypomethylation of the gene body region should be an important factor for the expressional activation of seed-specific genes.
Journal ArticleDOI
The Genetic Architecture of Gene Expression in Peripheral Blood
Luke R. Lloyd-Jones,Alexander Holloway,Allan F. McRae,Jian Yang,Kerrin S. Small,Jing Zhao,Biao Zeng,Andrew Bakshi,Andres Metspalu,Manolis Dermitzakis,Greg Gibson,Tim D. Spector,Grant W. Montgomery,Tõnu Esko,Peter M. Visscher,Joseph E. Powell +15 more
TL;DR: Evidence is presented that, compared with a meta-analysis, using individual-level data results in an increase of approximately 50% in power to detect eQTL, and approximately half the genetic variance for gene expression is not tagged by common SNPs.