Serghei Mangul

ORCID: 0000-0003-4770-3443
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Research Areas
  • Genomics and Phylogenetic Studies
  • Scientific Computing and Data Management
  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Cancer-related molecular mechanisms research
  • Genetics, Bioinformatics, and Biomedical Research
  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics
  • Research Data Management Practices
  • Immune Cell Function and Interaction
  • SARS-CoV-2 and COVID-19 Research
  • Bioinformatics and Genomic Networks
  • Bacteriophages and microbial interactions
  • Gut microbiota and health
  • Molecular Biology Techniques and Applications
  • Cell Image Analysis Techniques
  • Microbial Community Ecology and Physiology
  • Genetic Associations and Epidemiology
  • T-cell and B-cell Immunology
  • Metabolomics and Mass Spectrometry Studies
  • RNA Research and Splicing
  • HIV Research and Treatment
  • Genomics and Rare Diseases
  • Epigenetics and DNA Methylation

University of Southern California
2018-2025

Ştefan cel Mare University of Suceava
2025

University of California, Los Angeles
2013-2024

Southern California University for Professional Studies
2023-2024

QB3
2016-2023

UCLA Health
2016-2022

King Abdulaziz City for Science and Technology
2021

University of North Carolina at Chapel Hill
2021

Thermo Fisher Scientific (Sweden)
2020

University of Santa Monica
2018

François Aguet Shankara Anand Kristin Ardlie Stacey Gabriel Gad Getz and 95 more Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Michael J. Gloudemans Roderic Guigó Andrew R. Hame Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Hae Kyung Im Brian Jo Silva Kasela Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre Daniel Nachun Andrew B. Nobel Meritxell Oliva YoSon Park Yongjin Park Princy Parsana Abhiram Rao Ferrán Reverter John M. Rouhana Chiara Sabatti Ashis Saha Matthew Stephens Barbara E. Stranger Benjamin J. Strober Nicole A. Teran Ana Viñuela Gao Wang Xiaoquan Wen Fred A. Wright Valentin Wucher Yuxin Zou Pedro G. Ferreira Gen Li Marta Melé Esti Yeger‐Lotem Mary E. Barcus Debra Bradbury Tanya Krubit Jeffrey A. McLean Liqun Qi Karna Robinson Nancy Roche Anna Marie Smith Leslie H. Sobin David E. Tabor Anita H. Undale Jason Bridge Lori E. Brigham Barbara A. Foster Bryan M. Gillard

The Genotype-Tissue Expression (GTEx) project dissects how genetic variation affects gene expression and splicing.

10.1126/science.aaz1776 article EN public-domain Science 2020-09-10
Alvaro Barbeira Scott Dickinson Rodrigo Bonazzola Jiamao Zheng Heather E. Wheeler and 95 more Jason Torres Eric S. Torstenson Kaanan P. Shah Tzintzuni Garcia Todd L. Edwards Eli A. Stahl Laura M. Huckins François Aguet Kristin Ardlie Beryl B. Cummings Ellen Gelfand Gad Getz Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Konrad J. Karczewski Monkol Lek Xiao Li Daniel G. MacArthur Jared L. Nedzel Duyen T. Nguyen Michael S. Noble Ayellet V. Segrè Casandra A. Trowbridge Taru Tukiainen Nathan S. Abell Brunilda Balliu Ruth Barshir Omer Basha Alexis Battle Gireesh K. Bogu Andrew Brown Christopher Brown Stephane E. Castel Lin Chen Colby Chiang Donald F. Conrad Farhan N. Damani Joe R. Davis Olivier Delaneau Emmanouil T. Dermitzakis Barbara E. Engelhardt Eleazar Eskin Pedro G. Ferreira Laure Frésard Eric R. Gamazon Diego Garrido-Martín Ariel DH Gewirtz Genna Gliner Michael J. Gloudemans Roderic Guigó Ira M. Hall Buhm Han Yuan He Farhad Hormozdiari Cédric Howald Brian Jo Eun Yong Kang Yungil Kim Sarah Kim-Hellmuth Tuuli Lappalainen Gen Li Xin Li Boxiang Liu Serghei Mangul Mark I. McCarthy Ian C. McDowell Pejman Mohammadi Jean Monlong Stephen B. Montgomery Manuel Muñoz-Aguirre Anne W. Ndungu Andrew B. Nobel Meritxell Oliva Halit Ongen John Palowitch Nikolaos Panousis Panagiotis Papasaikas YoSon Park Princy Parsana A. J. Payne Christine B. Peterson Jie Quan Ferrán Reverter Chiara Sabatti Ashis Saha Michael Sammeth Alexandra J. Scott Andrey A. Shabalin Reza Sodaei Matthew Stephens Barbara E. Stranger Benjamin J. Strober Jae Hoon Sul

Abstract Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy general robustness misspecified reference sets. We apply this framework 44 GTEx tissues 100+ from GWAS meta-analysis studies, creating growing public catalog of associations seeks capture the effects variation on human...

10.1038/s41467-018-03621-1 article EN cc-by Nature Communications 2018-05-02

Responses to anti-PD-1 immunotherapy occur but are infrequent in bladder cancer. The specific T cells that mediate tumor rejection unknown. from human tumors and non-malignant tissue were assessed with single-cell RNA paired cell receptor (TCR) sequencing of 30,604 7 patients. We find the states repertoires CD8+ not distinct compared tissues. In contrast, analysis CD4+ demonstrates several tumor-specific states, including multiple regulatory cells. Surprisingly, we also cytotoxic clonally...

10.1016/j.cell.2020.05.017 article EN cc-by-nc-nd Cell 2020-06-01
Meritxell Oliva Manuel Muñoz-Aguirre Sarah Kim-Hellmuth Valentin Wucher Ariel DH Gewirtz and 95 more Daniel J. Cotter Princy Parsana Silva Kasela Brunilda Balliu Ana Viñuela Stephane E. Castel Pejman Mohammadi François Aguet Yuxin Zou Ekaterina Khramtsova Andrew D. Skol Diego Garrido-Martín Ferrán Reverter Andrew Brown Patrick Evans Eric R. Gamazon A. J. Payne Rodrigo Bonazzola Alvaro Barbeira Andrew R. Hamel Ángel Martínez-Pérez José Manuel Soria Brandon L. Pierce Matthew Stephens Eleazar Eskin Emmanouil T. Dermitzakis Ayellet V. Segrè Hae Kyung Im Barbara E. Engelhardt Kristin Ardlie Stephen B. Montgomery Alexis Battle Tuuli Lappalainen Roderic Guigó Barbara E. Stranger François Aguet Shankara Anand Kristin Ardlie Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher D. Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Michael J. Gloudemans Roderic Guigó Andrew R. Hame Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Hae Kyung Im Brian Jo Silva Kasela Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre

Many complex human phenotypes exhibit sex-differentiated characteristics. However, the molecular mechanisms underlying these differences remain largely unknown. We generated a catalog of sex in gene expression and genetic regulation across 44 tissue sources surveyed by Genotype-Tissue Expression project (GTEx, v8 release). demonstrate that influences levels cellular composition samples body. A total 37% all genes sex-biased at least one tissue. identify cis quantitative trait loci (eQTLs)...

10.1126/science.aba3066 article EN Science 2020-09-10
Sarah Kim-Hellmuth François Aguet Meritxell Oliva Manuel Muñoz-Aguirre Silva Kasela and 95 more Valentin Wucher Stephane E. Castel Andrew R. Hamel Ana Viñuela Amy L. Roberts Serghei Mangul Xiaoquan Wen Gao Wang Alvaro Barbeira Diego Garrido-Martín Brian B. Nadel Yuxin Zou Rodrigo Bonazzola Jie Quan Andrew Brown Ángel Martínez-Pérez José Manuel Soria Gad Getz Emmanouil T. Dermitzakis Kerrin S. Small Matthew Stephens Hualin Simon Xi Hae Kyung Im Roderic Guigó Ayellet V. Segrè Barbara E. Stranger Kristin Ardlie Tuuli Lappalainen François Aguet Shankara Anand Kristin Ardlie Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher D. Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Michael J. Gloudemans Roderic Guigó Andrew R. Hame Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Hae Kyung Im Brian Jo Silva Kasela Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre Daniel Nachun Andrew B. Nobel Meritxell Oliva YoSon Park Yongjin Park Princy Parsana Abhiram Rao

Cell type composition, estimated from bulk tissue, maps the cellular specificity of genetic variants.

10.1126/science.aaz8528 article EN Science 2020-09-10
Kathryn Demanelis Farzana Jasmine Lin Chen Meytal Chernoff Tong Lin and 95 more Dayana Delgado Chenan Zhang Justin Shinkle Mekala Sabarinathan Hannah Lin Eduardo Ramirez Meritxell Oliva Sarah Kim-Hellmuth Barbara E. Stranger Tsung‐Po Lai Abraham Aviv Kristin Ardlie François Aguet Habibul Ahsan Jennifer A. Doherty Muhammad G. Kibriya Brandon L. Pierce François Aguet Shankara Anand Kristin Ardlie Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Michael J. Gloudemans Roderic Guigó Andrew R. Hame Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Hae Kyung Im Brian Jo Silva Kasela Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre Daniel Nachun Andrew B. Nobel Meritxell Oliva YoSon Park Yongjin Park Princy Parsana Abhiram Rao Ferrán Reverter John M. Rouhana Chiara Sabatti Ashis Saha Matthew Stephens Barbara E. Stranger Benjamin J. Strober Nicole A. Teran Ana Viñuela Gao Wang Xiaoquan Wen

Telomere length within an individual varies in a correlated manner across most tissues.

10.1126/science.aaz6876 article EN Science 2020-09-10

10.1016/j.cell.2020.08.036 article EN publisher-specific-oa Cell 2020-09-10
Fernando Meyer Adrian Fritz Zhi-Luo Deng David Koslicki Till Robin Lesker and 95 more Alexey Gurevich Gary Robertson Mohammed Alser Dmitry Antipov Francesco Beghini Denis Bertrand Jaqueline Brito C. Titus Brown Jan P. Buchmann Aydın Buluç Bo Chen Rayan Chikhi Philip T. L. C. Clausen Alexandru Cristian Piotr Wojciech Dąbrowski Aaron E. Darling Rob Egan Eleazar Eskin Evangelos Georganas Eugene Goltsman Melissa A. Gray Lars Hestbjerg Hansen Steven Hofmeyr Pingqin Huang Luiz Irber Huijue Jia Tue Sparholt Jørgensen Silas Kieser Terje Klemetsen Axel Kola Mikhail Kolmogorov Anton Korobeynikov Jason C. Kwan Nathan LaPierre Claire Lemaitre Chenhao Li Antoine Limasset Fábio Malcher Miranda Serghei Mangul Vanessa R. Marcelino Camille Marchet Pierre Marijon Dmitry Meleshko Daniel R. Mende Alessio Milanese Niranjan Nagarajan Jakob Nybo Nissen Sergey Nurk Leonid Oliker Lucas Paoli Pierre Peterlongo Vitor C. Piro Jacob S. Porter Simon Rasmussen Evan Rees Knut Reinert Bernhard Y. Renard Espen Mikal Robertsen Gail Rosen Hans‐Joachim Ruscheweyh Varuni Sarwal Nicola Segata Enrico Seiler Lizhen Shi Fengzhu Sun Shinichi Sunagawa Søren J. Sørensen Ashleigh Thomas Chengxuan Tong Mirko Trajkovski Julien Tremblay Gherman Uritskiy Riccardo Vicedomini Zhengyang Wang Ziye Wang Zhong Wang Andrew Warren Nils Peder Willassen Katherine Yelick Ronghui You Georg Zeller Zhengqiao Zhao Shanfeng Zhu Jie Zhu Rubén Garrido‐Oter Petra Gastmeier Stéphane Hacquard Susanne Häußler Ariane Khaledi Friederike Maechler Fantin Mesny Simona Radutoiu Paul Schulze‐Lefert Nathiana Smit Till Strowig

Abstract Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative Critical Assessment Metagenome Interpretation (CAMI). The CAMI II challenge engaged community to assess methods on realistic complex datasets with long- short-read sequences, created computationally from around 1,700 new known genomes, as well 600 plasmids viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due...

10.1038/s41592-022-01431-4 article EN cc-by Nature Methods 2022-04-01
Olivia M. de Goede Daniel Nachun Nicole M. Ferraro Michael J. Gloudemans Abhiram Rao and 95 more Craig Smail Tiffany Eulalio François Aguet Bernard Ng Jishu Xu Alvaro Barbeira Stephane E. Castel Sarah Kim-Hellmuth YoSon Park Alexandra J. Scott Benjamin J. Strober Christopher D. Brown Xiaoquan Wen Ira M. Hall Alexis Battle Tuuli Lappalainen Hae Kyung Im Kristin Ardlie Sara Mostafavi Thomas Quertermous Karla Kirkegaard Stephen B. Montgomery Shankara Anand Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Rodrigo Bonazzola Andrew Brown Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Roderic Guigó Andrew R. Hamel Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Brian Jo Silva Kasela Seva Kashin Manolis Kellis Alan Kwong Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Manuel Muñoz-Aguirre Andrew B. Nobel Meritxell Oliva Yong‐Jin Park Princy Parsana Ferrán Reverter John M. Rouhana Chiara Sabatti Ashis Saha Matthew Stephens Barbara E. Stranger Nicole A. Teran Ana Viñuela Gao Wang Fred A. Wright Valentin Wucher Yuxin Zou Pedro G. Ferreira Gen Li Marta Melé Esti Yeger‐Lotem Debra Bradbury Tanya Krubit Jeffrey A. McLean Liqun Qi Karna Robinson Nancy Roche Anna M. Smith

10.1016/j.cell.2021.03.050 article EN publisher-specific-oa Cell 2021-04-16

Massively parallel whole transcriptome sequencing, commonly referred as RNA-Seq, is quickly becoming the technology of choice for gene expression profiling. However, due to short read length delivered by current sequencing technologies, estimation levels alternative splicing isoforms remains challenging.In this paper we present a novel expectation-maximization algorithm inference isoform- and gene-specific from RNA-Seq data. Our algorithm, IsoEM, based on disambiguating information provided...

10.1186/1748-7188-6-9 article EN cc-by Algorithms for Molecular Biology 2011-04-19
Nicole M. Ferraro Benjamin J. Strober Jonah Einson Nathan S. Abell François Aguet and 95 more Alvaro Barbeira Margot Brandt Maja Bućan Stephane E. Castel Joe R. Davis Emily Greenwald Gaelen T. Hess Austin T. Hilliard Rachel L. Kember Bence Kotis YoSon Park Gina M. Peloso Shweta Ramdas Alexandra J. Scott Craig Smail Emily K. Tsang Seyedeh M. Zekavat Marcello Ziosi Aradhana Kristin Ardlie Themistocles L. Assimes Michael C. Bassik Christopher D. Brown Adolfo Correa Ira M. Hall Hae Kyung Im Xin Li Pradeep Natarajan Tuuli Lappalainen Pejman Mohammadi Stephen B. Montgomery Alexis Battle François Aguet Shankara Anand Kristin Ardlie Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher D. Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Michael J. Gloudemans Roderic Guigó Andrew R. Hame Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Hae Kyung Im Brian Jo Silva Kasela Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xin Li Yanyu Liang Serghei Mangul Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre Daniel Nachun Andrew B. Nobel Meritxell Oliva

Outliers in the human transcriptome reveal functional effects of rare genetic variants.

10.1126/science.aaz5900 article EN Science 2020-09-10

RNA viruses infecting a host usually exist as set of closely related sequences, referred to quasispecies. The genomic diversity viral quasispecies is subject great interest, particularly for chronic infections, since it can lead resistance existing therapies. High-throughput sequencing promising approach characterizing diversity, but unfortunately standard assembly software was originally designed single genome and cannot be used simultaneously assemble estimate the abundance multiple...

10.1186/1471-2105-12-s6-s1 article EN cc-by BMC Bioinformatics 2011-07-28

Abstract Biomedical research depends increasingly on computational tools, but mechanisms ensuring open data, software, and reproducibility are variably enforced by academic institutions, funders, publishers. Publications may present software for which source code or documentation become unavailable; this compromises the role of peer review in evaluating technical strength scientific contribution. Incomplete ancillary information an package bias limit subsequent work. We provide 8...

10.1093/gigascience/giaa056 article EN cc-by GigaScience 2020-06-01
Stephane E. Castel François Aguet Pejman Mohammadi François Aguet Shankara Anand and 95 more Kristin Ardlie Stacey Gabriel Gad Getz Aaron Graubert Kane Hadley Robert E. Handsaker Katherine Huang Seva Kashin Xiao Li Daniel G. MacArthur Samuel R. Meier Jared L. Nedzel Duyen T. Nguyen Ayellet V. Segrè Ellen Todres François Aguet Shankara Anand Kristin Ardlie Brunilda Balliu Alvaro Barbeira Alexis Battle Rodrigo Bonazzola Andrew Brown Christopher D. Brown Stephane E. Castel Donald F. Conrad Daniel J. Cotter Nancy J. Cox Sayantan Das Olivia M. de Goede Emmanouil T. Dermitzakis Jonah Einson Barbara E. Engelhardt Eleazar Eskin Tiffany Eulalio Nicole M. Ferraro Elise D. Flynn Laure Frésard Eric R. Gamazon Diego Garrido-Martín Nicole R. Gay Gad Getz Michael J. Gloudemans Aaron Graubert Roderic Guigó Kane Hadley Andrew R. Hame Robert E. Handsaker Yuan He Paul Hoffman Farhad Hormozdiari Lei Hou Katherine Huang Hae Kyung Im Brian Jo Silva Kasela Seva Kashin Manolis Kellis Sarah Kim-Hellmuth Alan Kwong Tuuli Lappalainen Xiao Li Xin Li Yanyu Liang Daniel G. MacArthur Serghei Mangul Samuel R. Meier Pejman Mohammadi Stephen B. Montgomery Manuel Muñoz-Aguirre Daniel Nachun Jared L. Nedzel Duyen T. Nguyen Andrew B. Nobel Meritxell Oliva Yo Son Park Yong‐Jin Park Princy Parsana Abhiram Rao Ferrán Reverter John M. Rouhana Chiara Sabatti Ashis Saha Ayellet V. Segrè Andrew D. Skol Matthew Stephens Barbara E. Stranger Benjamin J. Strober Nicole A. Teran Ellen Todres Ana Viñuela Gao Wang Xiaoquan Wen Fred A. Wright Valentin Wucher

Abstract Allele expression (AE) analysis robustly measures cis -regulatory effects. Here, we present and demonstrate the utility of a vast AE resource generated from GTEx v8 release, containing 15,253 samples spanning 54 human tissues for total 431 million measurements at SNP level 153 haplotype level. In addition, develop an extension our tool phASER that allows effect sizes variants to be estimated using haplotype-level data. This is largest date, are able make data publicly available. We...

10.1186/s13059-020-02122-z article EN cc-by Genome biology 2020-09-10

The role of the human microbiome in health and disease is increasingly appreciated. We studied composition microbial communities present blood across 192 individuals, including healthy controls patients with three disorders affecting brain: schizophrenia, amyotrophic lateral sclerosis, bipolar disorder. By using high-quality unmapped RNA sequencing reads as candidate reads, we performed profiling transcripts detected whole blood. were able to detect a wide range bacterial archaeal phyla...

10.1038/s41398-018-0107-9 article EN cc-by Translational Psychiatry 2018-05-03

Abstract Profiling immunoglobulin (Ig) receptor repertoires with specialized assays can be cost-ineffective and time-consuming. Here we report ImReP, a computational method for rapid accurate profiling of the Ig repertoire, including complementary-determining region 3 (CDR3), using regular RNA sequencing data such as those from 8,555 samples across 53 tissues types 544 individuals in Genotype-Tissue Expression (GTEx v6) project. Using ImReP GTEx v6 data, generate collection 3.6 million...

10.1038/s41467-020-16857-7 article EN cc-by Nature Communications 2020-06-19

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing 1,864 cases (713 with 1,151 mild disease) 15,033 ancestry-matched population controls 4 independent biobanks. tested whether pLOF these were associated COVID-19. identified only 1 mutation among 713 observed no enrichment pLOFs compared evidence...

10.1172/jci147834 article EN Journal of Clinical Investigation 2021-05-27

As are most non-European populations, the Han Chinese relatively understudied in population and medical genetics studies. From low-coverage whole-genome sequencing of 11,670 women we present a catalog 25,057,223 variants, including 548,401 novel variants that seen at least 10 times our data set. Individuals from this set came 24 out 33 administrative divisions across China (including 19 provinces, 4 municipalities, 1 autonomous region), thus allowing us to study structure, genetic ancestry,...

10.1093/molbev/msy170 article EN Molecular Biology and Evolution 2018-08-29
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