Author

Christina M. Astley

Broad InstituteORCID 0000-0002-5063-8470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:differential expression· 1 Assay:metabolomics· 1

Frequent Co-Authors

Joel N. HirschhorniD· 2 shared Sailaja VedantamiD· 2 shared Andres MetspaluiD· 1 shared Andrew Nahum DauberiD· 1 shared Barbara McKnight· 1 shared Carolina Medina‐GómeziD· 1 shared Clicerio GonzáleziD· 1 shared Del Greco M. Fabiola· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Joel N. HirschhornORCID

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3 papers

Recent·Most cited

Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome

Yu-Han H. Hsu, Christina M. Astley, Joanne B. Cole, Sailaja Vedantam, Josep Maria Mercader, Andres Metspalu, Krista Fischer, Kristen Fortney, Eric K. Morgen, Clicerio González, Maria E. Gonzalez, Tõnu Esko, Joel N. Hirschhorn

The paper identifies BMI-associated metabolites using untargeted metabolomics and causal inference, finding both known and unknown metabolites with causal links to obesity.

International Journal of Obesity · May 28, 2020Peer-reviewedBioinformatics

Protein QTL analysis of IGF-I and its binding proteins provides insights into growth biology

Eric Bartell, Masanobu Fujimoto, Jane C. Khoury, Philip R. Khoury, Sailaja Vedantam, Christina M. Astley, Joel N. Hirschhorn, Andrew Nahum Dauber

The paper performs protein QTL analysis of IGF-I and its binding proteins in children to explore genetic regulation and growth mechanisms.

Human Molecular Genetics · May 28, 2020Peer-reviewedGenetics

The role of glycaemic, lipid, blood pressure and obesity risk factors as mediators of the effect of height on Coronary Artery Disease and Type 2 Diabetes Mellitus: A Mendelian Randomisation Study.

Eirini Marouli, Del Greco M. Fabiola, Christina M. Astley, Jian Yang, Shafqat Ahmad, Sonja I. Berndt, Mark J. Caulfield, Evangelos Evangelou, Barbara McKnight, Carolina Medina‐Gómez, Jana V. van Vliet‐Ostaptchouk, Helen R. Warren, Zhihong Zhu

This paper uses Mendelian Randomisation to show that height reduces coronary artery disease risk independently of BMI, lipid, and blood pressure, but has no direct effect on type 2 diabetes risk after adjusting for BMI.

bioRxiv · Nov 12, 2018 · PreprintGenetics