M
Manolis Kellis
Researcher at Massachusetts Institute of Technology
Publications - 448
Citations - 132627
Manolis Kellis is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 128, co-authored 405 publications receiving 112181 citations. Previous affiliations of Manolis Kellis include Broad Institute & Epigenomics AG.
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Journal ArticleDOI
Publisher Correction: Evolution of enhanced innate immune evasion by SARS-CoV-2
Lucy Thorne,Mehdi Bouhaddou,Ann-Kathrin Barbara Reuschl,Lorena Zuliani-Alvarez,Benjamin J. Polacco,Adrian Pelin,Jyoti Batra,Matthew V. X. Whelan,Myra Hosmillo,Andrea Fossati,Roberta Ragazzini,Irwin Jungreis,Manisha Ummadi,Ajda Rojc,Jane Turner,Marie L. Bischof,Kirsten Obernier,Hannes Braberg,Margaret Soucheray,Alicia L. Richards,Kuei-Ho Chen,Bhavya Harjai,Danish Memon,Joseph Hiatt,Romel Rosales,Brian McGovern,Aminu S Jahun,Jacqueline M. Fabius,Kris M. White,Ian Goodfellow,Yasuyuki Takeuchi,Paola Bonfanti,Kevan M. Shokat,Natalia Jura,Kliment A. Verba,Mahdad Noursadeghi,Pedro Beltrao,Manolis Kellis,Danielle L. Swaney,Adolfo García-Sastre,Clare Jolly,Greg J. Towers,Nevan J. Krogan +42 more
Journal ArticleDOI
Genome-Wide Exploration of DNA Methylation in the Aging Brain and Its Relation to Alzheimer's Disease (P05.070)
Philip L. De Jager,Gyan Srivastava,Matthew L. Eaton,Lori B. Chibnik,Manolis Kellis,David A. Bennett +5 more
TL;DR: This study provides evidence for loci where the extent of DNA methylation correlates with a diagnosis of AD, suggesting that the brain9s transcriptional potential may play a role in aging-related diseases such as dementia.
Proceedings ArticleDOI
Abstract 4533: Plasma and exosome proteomic profiling for prediction of immunotherapy response and toxicity
Arnav Mehta,Gyulnara G. Kasumova,Alvin Shi,Marijana Rucevic,Markus Sallman-Almen,Lina Hultin Rosenberg,Emmett Sprecher,Jacqueline Ohmura,Michelle Kim,David J. Lieb,Xue Bai,Dennie T. Frederick,Manolis Kellis,Ryan J. Sullivan,Keith T. Flaherty,Nir Hacohen,Genevieve M. Boland +16 more
TL;DR: Plasma and exosome proteomic profiling is performed to construct a predictive model of immunotherapy response and toxicity, and suggests that the two compartments may capture elements of different immune processes.
Journal ArticleDOI
Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries
Seyedeh M. Zekavat,Seyedeh M. Zekavat,Sanni Ruotsalainen,Robert E. Handsaker,Robert E. Handsaker,Maris Alver,Jonathan M. Bloom,Timothy Poterba,Cotton Seed,Jason Ernst,Mark Chaffin,Jesse M. Engreitz,Gina M. Peloso,Ani Manichaikul,Chaojie Yang,Kathleen A. Ryan,Mao Fu,W. Craig Johnson,Michael Y. Tsai,Matthew J. Budoff,Ramachandran S. Vasan,Ramachandran S. Vasan,L. Adrienne Cupples,L. Adrienne Cupples,Jerome I. Rotter,Stephen S. Rich,Wendy S. Post,Braxton D. Mitchell,Adolfo Correa,Andres Metspalu,James G. Wilson,Veikko Salomaa,Manolis Kellis,Manolis Kellis,Mark J. Daly,Benjamin M. Neale,Steven A. McCarroll,Steven A. McCarroll,Ida Surakka,Tõnu Esko,Andrea Ganna,Samuli Ripatti,Samuli Ripatti,Sekar Kathiresan,Pradeep Natarajan +44 more
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Journal ArticleDOI
The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles
Jacob Schreiber,Carles Boix,Jin-Wook Lee,Hongyang Li,Yuanfang Guan,Jen-Chien Chang,Alex Hawkins-Hooker,Bernhard Schölkopf,Gabriele Schweikert,Mateo Rojas-Carulla,Arif Canakoglu,Francesco Guzzo,Luca Nanni,Marco Masseroli,Mark James Carman,Pietro Pinoli,Chenyang Hong,Kevin Y. Yip,Jeffrey P. Spence,Sanjit S. Batra,Jun S. Song,Shaun Mahony,Zheng Zhang,Wuwei Tan,Yang Shen,Yuanfei Sun,Minyi Shi,Jessika Adrian,Richard Sandstrom,Nina Farrell,Jessica Halow,Kristen Lee,Lixia Jiang,Xinqiong Yang,Charles B. Epstein,J. Seth Strattan,Michael Snyder,Manolis Kellis,William Noble,Anshul Kundaje +39 more
TL;DR: In this article , the authors comprehensively analyzed 23 methods from the ENCODE Imputation Challenge and found that imputation evaluations are challenging and confounded by distributional shifts from differences in data collection and processing over time, the amount of available data, and redundancy among performance measures.