Author

Audrey Y. Chu

Brigham and Women's HospitalORCID 0009-0001-2113-0897Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 7 Approach:statistical model· 7 Research Focus:gene regulatory network inference· 3 Assay:GWAS summary statistics· 3 Assay:whole-exome sequencing· 3 Research Focus:differential expression· 2 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2

Frequent Co-Authors

Ayşe DemirkaniD· 4 shared Lawrence F. BielakiD· 4 shared Sara M. WillemsiD· 4 shared Stefan GustafssoniD· 4 shared Cramer Christensen· 3 shared Eirini MarouliiD· 3 shared Heather M. HighlandiD· 3 shared Hugoline G. de HaaniD· 3 shared

Activity by Year

2018-2024 · peak 4/yr

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10 top collaborators · 45 mutual co-author links

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4 shared papersGenetics

Ayşe DemirkanORCID

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7 papers

Recent·Most cited

Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function

Gabriel B. Loeb, Pooja Kathail, Richard W. Shuai, Ryan Chung, Reinier J. Grona, Sailaja Peddada, Volkan Sevi̇m, Scot Federman, Karl Mader, Audrey Y. Chu, Jonathan Davitte, Juan Du, Alexander R. Gupta, Chun Ye, Shawn Shafer, , Jeremy F. Reiter

This paper identifies genetic variants in tubule epithelial regulatory elements that explain most heritable differences in human kidney function using GWAS, scATAC-seq, and functional assays.

Nature Genetics · Sep 10, 2024Peer-reviewedGenetics

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Ji Chen, Cassandra Nichole Spracklen, Gaëlle Marenne, Arushi Varshney, Laura J. Corbin, Jian’an Luan, Sara M. Willems, Ying Wu, Xiaoshuai Zhang, Momoko Horikoshi, Thibaud Boutin, Reedik Mägi, Johannes Waage, Achilleas Pitsillides, Ruifang Li‐Gao, , Michael H Preuss

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

bioRxiv · Jul 23, 2020 · PreprintGenetics

Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

Natasha Hui Jin Ng, Sara M. Willems, Juan Fernandez, Rebecca S. Fine, Eleanor Wheeler, Jennifer Wessel, Hidetoshi Kitajima, Gaëlle Marenne, Jana K. Rundle, Xueling Sim, Hanieh Yeghootkar, Nicola L. Beer, Anne Raimondo, Andrei I. Tarasov, Soren K. Thomsen, , Abbas Dehghan

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

bioRxiv · Oct 3, 2019 · PreprintGenetics

Novel DNA methylation sites of glucose and insulin homeostasis: an integrative cross-omics analysis

Jun Liu, Elena Carnero‐Montoro, Jenny van Dongen, Samantha Lent, Ivana Nedeljkovic, Symen Ligthart, Pei-Chien Tsai, Tiphaine C. Martin, Pooja R. Mandaviya, Rick Jansen, Marjolein J. Peters, Liesbeth Duijts, Vincent W. V. Jaddoe, Henning W. Tiemeier, Janine F. Felix, , Cornelia M. van Duijn

This study identifies nine novel DNA methylation sites associated with fasting glucose and insulin levels by integrating cross-omics data from multiple cohorts.

Nature Communications · Jun 13, 2019Peer-reviewedGenomics

Multi-trait genome-wide association meta-analysis of dietary intake identifies new loci and genetic and functional links with metabolic traits

Jordi Merino, Hassan S. Dashti, Chloé Sarnowski, Jacqueline M. Lane, Miriam S. Udler, Petar V. Todorov, Yanwei Song, Heming Wang, Jaegil Kim, Chandler Tucker, John N. Campbell, Toshiko Tanaka, Audrey Y. Chu, Linus T.-Y. Tsai, Tune H. Pers, , Richa Saxena

This study identifies 96 genome-wide significant loci associated with dietary intake variation using a multi-trait GWAS meta-analysis across 283,119 individuals.

bioRxiv · May 1, 2019 · PreprintGenetics

PROTEIN-CODING VARIANTS IMPLICATE NOVEL GENES RELATED TO LIPID HOMEOSTASIS CONTRIBUTING TO BODY FAT DISTRIBUTION

Anne E. Justice, Tugce Karaderi, Heather M. Highland, Kristin L. Young, Mariaelisa Graff, Yingchang Lu, Valérie Turcot, Paul Livermore Auer, Rebecca S. Fine, Xiuqing Guo, Claudia Schurmann, Adelheid M. Lempradl, Eirini Marouli, Anubha Mahajan, Thomas W. Winkler, , Andrew Tym Hattersley

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

Nature Genetics · Feb 18, 2019Peer-reviewedGenetics

Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes

Anubha Mahajan, Jennifer Wessel, Sara M. Willems, Wei Zhao, Neil R. Robertson, Audrey Y. Chu, Wei Gan, Hidetoshi Kitajima, Daniel Taliun, Nigel William Rayner, Xiuqing Guo, Yingchang Lu, Man Li, Richard A. Jensen, Yao Hu, , Jun Liu

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

Nature Genetics · Apr 1, 2018Peer-reviewedGenetics