William Rayner Marie Loh Bong-Jo Kim Joshua Chiou Irene Miguel-Escalada Kuang Lin Fiona Bragg Michael Preuss Fumihiko Takeuchi Jana Nano Xiuqing Guo Amel Lamri Masahiro Nakatochi Robert A Scott Jung-Jin Lee Alicia Huerta-Chagoya Mariaelisa Graff Jin-Fang Chai Esteban J.

Mercader Daniel Taliun Sanghoon Moon Soo-Heon Kwak Neil R. Petty Hidetoshi Kitajima Grace Zhuo Yu Sina Rüeger Leo Speidel Young Jin Kim Momoko Horikoshi Josep M. I am particularly excited about following up on my work on partitioned polygenic risk scores (genetic risk variants combined together) that capture information on individual patterns of disease predisposition and have the potential to influence both biomarker discovery and clinical management and also continue developing further approach to prioritize and integrate multiple sources of evidence (including genetic, genomic, proteomic, model perturbation data, and literature), to classify candidate effector genes (and thereby potential drug targets) according to the likelihood that they are involved in development of the disease.Īnubha Mahajan Cassandra N Spracklen Weihua Zhang Maggie C. Though my research so far has focused primarily on type 2 diabetes, these findings can be extrapolated to any complex disease and set the scene for focused efforts to translate genetic and genomic knowledge into clinically actionable information across a range of diseases.Īt Genentech, in my postdoctoral lab, I will continue to pursue the research on type 2 diabetes using it as a tool to develop approaches that can be implemented across a wide spectrum of diseases. Integration of these genetic variants influencing type 2 diabetes with diverse sources of genomic (particularly from disease relevant tissues), proteomic, physiological, clinical, and microbiome information, has provided key insights into the molecular, cellular, and physiological basis of type 2 diabetes predisposition. I have conducted high-throughput analyses of progressively larger meta-analyses (involving diverse ethnicities) to enable the most comprehensive exploration of the genetic architecture of type 2 diabetes, defining the likely universe of disease-causing variation. Mahajan A, Taliun D, Thurner M, Robertson NR, Torres JM, Rayner NW, Payne AJ, Steinthorsdottir V, Scott RA, Grarup N, Cook JP, Schmidt EM, Wuttke M, Sarnowski C, Mägi R, Nano J, Gieger C, Trompet S, Lecoeur C, Preuss MH, Prins BP, Guo X, Bielak LF, Below JE, Bowden DW, Chambers JC, Kim YJ, Ng MCY, Petty LE, Sim X, Zhang W, Bennett AJ, Bork-Jensen J, Brummett CM, Canouil M, Ec Kardt KU, Fischer K, Kardia SLR, Kronenberg F, Läll K, Liu CT, Locke AE, Luan J, Ntalla I, Nylander V, Schönherr S, Schurmann C, Yengo L, Bottinger EP, Brandslund I, Christensen C, Dedoussis G, Florez JC, Ford I, Franco OH, Frayling TM, Giedraitis V, Hackinger S, Hattersley AT, Herder C, Ikram MA, Ingelsson M, Jørgensen ME, Jørgensen T, Kriebel J, Kuusisto J, Ligthart S, Lindgren CM, Linneberg A, Lyssenko V, Mamakou V, Meitinger T, Mohlke KL, Morris AD, Nadkarni G, Pankow JS, Peters A, Sattar N, Stančáková A, Strauch K, Taylor KD, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tuomilehto J, Witte DR, Dupuis J, Peyser PA, Zeggini E, Loos RJF, Froguel P, Ingelsson E, Lind L, Groop L, Laakso M, Collins FS, Jukema JW, Palmer CNA, Grallert H, Metspalu A, Dehghan A, Köttgen A, Abecasis GR, Meigs JB, Rotter JI, Marchini J, Pedersen O, Hansen T, Langenberg C, Wareham NJ, Stefansson K, Gloyn AL, Morris AP, Boehnke M, McCarthy MI.įor the past decade, my research has primarily focused on the genetic analysis of complex traits, with particular emphasis on the multifactorial form of type 2 diabetes.

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

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