Literature DB >> 34822289

Genetic ancestry effects on the response to viral infection are pervasive but cell type specific.

Haley E Randolph1, Jessica K Fiege2,3, Beth K Thielen4, Clayton K Mickelson2,3, Mari Shiratori5, João Barroso-Batista5, Ryan A Langlois2,3, Luis B Barreiro1,5,6.   

Abstract

Humans differ in their susceptibility to infectious disease, partly owing to variation in the immune response after infection. We used single-cell RNA sequencing to quantify variation in the response to influenza infection in peripheral blood mononuclear cells from European- and African-ancestry males. Genetic ancestry effects are common but highly cell type specific. Higher levels of European ancestry are associated with increased type I interferon pathway activity in early infection, which predicts reduced viral titers at later time points. Substantial population-associated variation is explained by cis-expression quantitative trait loci that are differentiated by genetic ancestry. Furthermore, genetic ancestry–associated genes are enriched among genes correlated with COVID-19 disease severity, suggesting that the early immune response contributes to ancestry-associated differences for multiple viral infection outcomes.

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Year:  2021        PMID: 34822289      PMCID: PMC8957271          DOI: 10.1126/science.abg0928

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   63.714


  57 in total

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Authors:  Hao Zhao; Zhifu Sun; Jing Wang; Haojie Huang; Jean-Pierre Kocher; Liguo Wang
Journal:  Bioinformatics       Date:  2013-12-18       Impact factor: 6.937

2.  A DNA transfection system for generation of influenza A virus from eight plasmids.

Authors:  E Hoffmann; G Neumann; Y Kawaoka; G Hobom; R G Webster
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

3.  Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Authors:  Mark N Lee; Chun Ye; Alexandra-Chloé Villani; Towfique Raj; Weibo Li; Thomas M Eisenhaure; Selina H Imboywa; Portia I Chipendo; F Ann Ran; Kamil Slowikowski; Lucas D Ward; Khadir Raddassi; Cristin McCabe; Michelle H Lee; Irene Y Frohlich; David A Hafler; Manolis Kellis; Soumya Raychaudhuri; Feng Zhang; Barbara E Stranger; Christophe O Benoist; Philip L De Jager; Aviv Regev; Nir Hacohen
Journal:  Science       Date:  2014-03-07       Impact factor: 47.728

4.  PB1-F2 expression by the 2009 pandemic H1N1 influenza virus has minimal impact on virulence in animal models.

Authors:  Rong Hai; Mirco Schmolke; Zsuzsanna T Varga; Balaji Manicassamy; Taia T Wang; Jessica A Belser; Melissa B Pearce; Adolfo García-Sastre; Terrence M Tumpey; Peter Palese
Journal:  J Virol       Date:  2010-02-24       Impact factor: 5.103

5.  The Molecular Signatures Database (MSigDB) hallmark gene set collection.

Authors:  Arthur Liberzon; Chet Birger; Helga Thorvaldsdóttir; Mahmoud Ghandi; Jill P Mesirov; Pablo Tamayo
Journal:  Cell Syst       Date:  2015-12-23       Impact factor: 10.304

6.  Signatures of environmental genetic adaptation pinpoint pathogens as the main selective pressure through human evolution.

Authors:  Matteo Fumagalli; Manuela Sironi; Uberto Pozzoli; Anna Ferrer-Admetlla; Anna Ferrer-Admettla; Linda Pattini; Rasmus Nielsen
Journal:  PLoS Genet       Date:  2011-11-03       Impact factor: 5.917

7.  COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

Authors:  Xianwen Ren; Wen Wen; Xiaoying Fan; Wenhong Hou; Bin Su; Pengfei Cai; Jiesheng Li; Yang Liu; Fei Tang; Fan Zhang; Yu Yang; Jiangping He; Wenji Ma; Jingjing He; Pingping Wang; Qiqi Cao; Fangjin Chen; Yuqing Chen; Xuelian Cheng; Guohong Deng; Xilong Deng; Wenyu Ding; Yingmei Feng; Rui Gan; Chuang Guo; Weiqiang Guo; Shuai He; Chen Jiang; Juanran Liang; Yi-Min Li; Jun Lin; Yun Ling; Haofei Liu; Jianwei Liu; Nianping Liu; Shu-Qiang Liu; Meng Luo; Qiang Ma; Qibing Song; Wujianan Sun; GaoXiang Wang; Feng Wang; Ying Wang; Xiaofeng Wen; Qian Wu; Gang Xu; Xiaowei Xie; Xinxin Xiong; Xudong Xing; Hao Xu; Chonghai Yin; Dongdong Yu; Kezhuo Yu; Jin Yuan; Biao Zhang; Peipei Zhang; Tong Zhang; Jincun Zhao; Peidong Zhao; Jianfeng Zhou; Wei Zhou; Sujuan Zhong; Xiaosong Zhong; Shuye Zhang; Lin Zhu; Ping Zhu; Bin Zou; Jiahua Zou; Zengtao Zuo; Fan Bai; Xi Huang; Penghui Zhou; Qinghua Jiang; Zhiwei Huang; Jin-Xin Bei; Lai Wei; Xiu-Wu Bian; Xindong Liu; Tao Cheng; Xiangpan Li; Pingsen Zhao; Fu-Sheng Wang; Hongyang Wang; Bing Su; Zheng Zhang; Kun Qu; Xiaoqun Wang; Jiekai Chen; Ronghua Jin; Zemin Zhang
Journal:  Cell       Date:  2021-02-03       Impact factor: 41.582

8.  ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks.

Authors:  Gabriela Bindea; Bernhard Mlecnik; Hubert Hackl; Pornpimol Charoentong; Marie Tosolini; Amos Kirilovsky; Wolf-Herman Fridman; Franck Pagès; Zlatko Trajanoski; Jérôme Galon
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

9.  GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists.

Authors:  Eran Eden; Roy Navon; Israel Steinfeld; Doron Lipson; Zohar Yakhini
Journal:  BMC Bioinformatics       Date:  2009-02-03       Impact factor: 3.169

10.  Genetic effects on gene expression across human tissues.

Authors:  Alexis Battle; Christopher D Brown; Barbara E Engelhardt; Stephen B Montgomery
Journal:  Nature       Date:  2017-10-11       Impact factor: 49.962

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  8 in total

1.  Additive genetic effects in interacting species jointly determine the outcome of caterpillar herbivory.

Authors:  Zachariah Gompert; Tara Saley; Casey Philbin; Su'ad A Yoon; Eva Perry; Michelle E Sneck; Joshua G Harrison; C Alex Buerkle; James A Fordyce; Chris C Nice; Craig D Dodson; Sarah L Lebeis; Lauren K Lucas; Matthew L Forister
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-29       Impact factor: 12.779

Review 2.  The genetic and evolutionary determinants of COVID-19 susceptibility.

Authors:  Gaspard Kerner; Lluis Quintana-Murci
Journal:  Eur J Hum Genet       Date:  2022-06-28       Impact factor: 5.351

3.  Single-cell eQTL models reveal dynamic T cell state dependence of disease loci.

Authors:  Aparna Nathan; Samira Asgari; Kazuyoshi Ishigaki; Cristian Valencia; Tiffany Amariuta; Yang Luo; Jessica I Beynor; Yuriy Baglaenko; Sara Suliman; Alkes L Price; Leonid Lecca; Megan B Murray; D Branch Moody; Soumya Raychaudhuri
Journal:  Nature       Date:  2022-05-11       Impact factor: 69.504

4.  Genetic control of the dynamic transcriptional response to immune stimuli and glucocorticoids at single cell resolution.

Authors:  Justyna A Resztak; Julong Wei; Samuele Zilioli; Edward Sendler; Adnan Alazizi; Henriette E Mair-Meijers; Peijun Wu; Richard B Slatcher; Xiang Zhou; Francesca Luca; Roger Pique-Regi
Journal:  bioRxiv       Date:  2022-03-15

Review 5.  The immunogenetic impact of European colonization in the Americas.

Authors:  Evelyn Jane Collen; Angad Singh Johar; João C Teixeira; Bastien Llamas
Journal:  Front Genet       Date:  2022-08-05       Impact factor: 4.772

6.  Zonulin, a marker of gut permeability, is associated with mortality in a cohort of hospitalised peruvian COVID-19 patients.

Authors:  Luciano A Palomino-Kobayashi; Barbara Ymaña; Joaquim Ruiz; Ana Mayanga-Herrera; Manuel F Ugarte-Gil; Maria J Pons
Journal:  Front Cell Infect Microbiol       Date:  2022-09-06       Impact factor: 6.073

7.  Diet and Respiratory Infections: Specific or Generalized Associations?

Authors:  Thanh-Huyen T Vu; Linda Van Horn; Chad J Achenbach; Kelsey J Rydland; Marilyn C Cornelis
Journal:  Nutrients       Date:  2022-03-11       Impact factor: 5.717

Review 8.  The Power of Single-Cell RNA Sequencing in eQTL Discovery.

Authors:  Maleeha Maria; Negar Pouyanfar; Tiit Örd; Minna U Kaikkonen
Journal:  Genes (Basel)       Date:  2022-03-12       Impact factor: 4.096

  8 in total

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