Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

人类免疫细胞表观遗传和转录变异的遗传驱动因素

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作者:Lu Chen,Bing Ge,Francesco Paolo Casale,Louella Vasquez,Tony Kwan,Diego Garrido-Martín,Stephen Watt,Ying Yan,Kousik Kundu,Simone Ecker,Avik Datta,David Richardson,Frances Burden,Daniel Mead,Alice L Mann,Jose Maria Fernandez,Sophia Rowlston,Steven P Wilder,Samantha Farrow,Xiaojian Shao,John J Lambourne,Adriana Redensek,Cornelis A Albers,Vyacheslav Amstislavskiy,Sofie Ashford,Kim Berentsen,Lorenzo Bomba,Guillaume Bourque,David Bujold,Stephan Busche,Maxime Caron,Shu-Huang Chen,Warren Cheung,Oliver Delaneau,Emmanouil T Dermitzakis,Heather Elding,Irina Colgiu,Frederik O Bagger,Paul Flicek,Ehsan Habibi,Valentina Iotchkova,Eva Janssen-Megens,Bowon Kim,Hans Lehrach,Ernesto Lowy,Amit Mandoli,Filomena Matarese,Matthew T Maurano,John A Morris,Vera Pancaldi,Farzin Pourfarzad,Karola Rehnstrom,Augusto Rendon,Thomas Risch,Nilofar Sharifi,Marie-Michelle Simon,Marc Sultan,Alfonso Valencia,Klaudia Walter,Shuang-Yin Wang,Mattia Frontini,Stylianos E Antonarakis,Laura Clarke,Marie-Laure Yaspo,Stephan Beck,Roderic Guigo,Daniel Rico,Joost H A Martens,Willem H Ouwehand,Taco W Kuijpers,Dirk S Paul,Hendrik G Stunnenberg,Oliver Stegle,Kate Downes,Tomi Pastinen,Nicole Soranzo  0

Abstract

Characterizing the multifaceted contribution of genetic and epigenetic factors to disease phenotypes is a major challenge in human genetics and medicine. We carried out high-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types (CD14+ monocytes, CD16+ neutrophils, and naive CD4+ T cells) from up to 197 individuals. We assess, quantitatively, the relative contribution of cis-genetic and epigenetic factors to transcription and evaluate their impact as potential sources of confounding in epigenome-wide association studies. Further, we characterize highly coordinated genetic effects on gene expression, methylation, and histone variation through quantitative trait locus (QTL) mapping and allele-specific (AS) analyses. Finally, we demonstrate colocalization of molecular trait QTLs at 345 unique immune disease loci. This expansive, high-resolution atlas of multi-omics changes yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk.

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