Literature DB >> 33045747

Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics.

Maya Ghoussaini1,2, Edward Mountjoy1,2, Miguel Carmona2,3, Gareth Peat2,3, Ellen M Schmidt1,2, Andrew Hercules2,3, Luca Fumis2,3, Alfredo Miranda2,3, Denise Carvalho-Silva2,3, Annalisa Buniello2,3, Tony Burdett2,3, James Hayhurst2,3, Jarrod Baker2,3, Javier Ferrer2,3, Asier Gonzalez-Uriarte2,3, Simon Jupp2,3, Mohd Anisul Karim1,2, Gautier Koscielny2,4, Sandra Machlitt-Northen2,4, Cinzia Malangone2,3, Zoe May Pendlington2,3, Paola Roncaglia2,3, Daniel Suveges2,3, Daniel Wright1,2, Olga Vrousgou2,3, Eliseo Papa2,5, Helen Parkinson2,3, Jacqueline A L MacArthur3, John A Todd6, Jeffrey C Barrett1,2, Jeremy Schwartzentruber1,2, David G Hulcoop2,4, David Ochoa2,3, Ellen M McDonagh1,3, Ian Dunham1,2,3.   

Abstract

Open Targets Genetics (https://genetics.opentargets.org) is an open-access integrative resource that aggregates human GWAS and functional genomics data including gene expression, protein abundance, chromatin interaction and conformation data from a wide range of cell types and tissues to make robust connections between GWAS-associated loci, variants and likely causal genes. This enables systematic identification and prioritisation of likely causal variants and genes across all published trait-associated loci. In this paper, we describe the public resources we aggregate, the technology and analyses we use, and the functionality that the portal offers. Open Targets Genetics can be searched by variant, gene or study/phenotype. It offers tools that enable users to prioritise causal variants and genes at disease-associated loci and access systematic cross-disease and disease-molecular trait colocalization analysis across 92 cell types and tissues including the eQTL Catalogue. Data visualizations such as Manhattan-like plots, regional plots, credible sets overlap between studies and PheWAS plots enable users to explore GWAS signals in depth. The integrated data is made available through the web portal, for bulk download and via a GraphQL API, and the software is open source. Applications of this integrated data include identification of novel targets for drug discovery and drug repurposing.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33045747      PMCID: PMC7778936          DOI: 10.1093/nar/gkaa840

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  20 in total

1.  Bayes factors for genome-wide association studies: comparison with P-values.

Authors:  Jon Wakefield
Journal:  Genet Epidemiol       Date:  2009-01       Impact factor: 2.135

2.  Modeling sample variables with an Experimental Factor Ontology.

Authors:  James Malone; Ele Holloway; Tomasz Adamusiak; Misha Kapushesky; Jie Zheng; Nikolay Kolesnikov; Anna Zhukova; Alvis Brazma; Helen Parkinson
Journal:  Bioinformatics       Date:  2010-03-03       Impact factor: 6.937

3.  Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.

Authors:  Jian Yang; Teresa Ferreira; Andrew P Morris; Sarah E Medland; Pamela A F Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael N Weedon; Ruth J Loos; Timothy M Frayling; Mark I McCarthy; Joel N Hirschhorn; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2012-03-18       Impact factor: 38.330

4.  Genetic and epigenetic fine mapping of causal autoimmune disease variants.

Authors:  Kyle Kai-How Farh; Alexander Marson; Jiang Zhu; Markus Kleinewietfeld; William J Housley; Samantha Beik; Noam Shoresh; Holly Whitton; Russell J H Ryan; Alexander A Shishkin; Meital Hatan; Marlene J Carrasco-Alfonso; Dita Mayer; C John Luckey; Nikolaos A Patsopoulos; Philip L De Jager; Vijay K Kuchroo; Charles B Epstein; Mark J Daly; David A Hafler; Bradley E Bernstein
Journal:  Nature       Date:  2014-10-29       Impact factor: 49.962

5.  Genomic atlas of the human plasma proteome.

Authors:  Benjamin B Sun; Joseph C Maranville; James E Peters; David Stacey; James R Staley; James Blackshaw; Stephen Burgess; Tao Jiang; Ellie Paige; Praveen Surendran; Clare Oliver-Williams; Mihir A Kamat; Bram P Prins; Sheri K Wilcox; Erik S Zimmerman; An Chi; Narinder Bansal; Sarah L Spain; Angela M Wood; Nicholas W Morrell; John R Bradley; Nebojsa Janjic; David J Roberts; Willem H Ouwehand; John A Todd; Nicole Soranzo; Karsten Suhre; Dirk S Paul; Caroline S Fox; Robert M Plenge; John Danesh; Heiko Runz; Adam S Butterworth
Journal:  Nature       Date:  2018-06-06       Impact factor: 49.962

6.  The accessible chromatin landscape of the human genome.

Authors:  Robert E Thurman; Eric Rynes; Richard Humbert; Jeff Vierstra; Matthew T Maurano; Eric Haugen; Nathan C Sheffield; Andrew B Stergachis; Hao Wang; Benjamin Vernot; Kavita Garg; Sam John; Richard Sandstrom; Daniel Bates; Lisa Boatman; Theresa K Canfield; Morgan Diegel; Douglas Dunn; Abigail K Ebersol; Tristan Frum; Erika Giste; Audra K Johnson; Ericka M Johnson; Tanya Kutyavin; Bryan Lajoie; Bum-Kyu Lee; Kristen Lee; Darin London; Dimitra Lotakis; Shane Neph; Fidencio Neri; Eric D Nguyen; Hongzhu Qu; Alex P Reynolds; Vaughn Roach; Alexias Safi; Minerva E Sanchez; Amartya Sanyal; Anthony Shafer; Jeremy M Simon; Lingyun Song; Shinny Vong; Molly Weaver; Yongqi Yan; Zhancheng Zhang; Zhuzhu Zhang; Boris Lenhard; Muneesh Tewari; Michael O Dorschner; R Scott Hansen; Patrick A Navas; George Stamatoyannopoulos; Vishwanath R Iyer; Jason D Lieb; Shamil R Sunyaev; Joshua M Akey; Peter J Sabo; Rajinder Kaul; Terrence S Furey; Job Dekker; Gregory E Crawford; John A Stamatoyannopoulos
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

7.  Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

Authors:  Wei Zhou; Jonas B Nielsen; Lars G Fritsche; Rounak Dey; Maiken E Gabrielsen; Brooke N Wolford; Jonathon LeFaive; Peter VandeHaar; Sarah A Gagliano; Aliya Gifford; Lisa A Bastarache; Wei-Qi Wei; Joshua C Denny; Maoxuan Lin; Kristian Hveem; Hyun Min Kang; Goncalo R Abecasis; Cristen J Willer; Seunggeun Lee
Journal:  Nat Genet       Date:  2018-08-13       Impact factor: 38.330

8.  A compendium of promoter-centered long-range chromatin interactions in the human genome.

Authors:  Inkyung Jung; Anthony Schmitt; Yarui Diao; Andrew J Lee; Tristin Liu; Dongchan Yang; Catherine Tan; Junghyun Eom; Marilynn Chan; Sora Chee; Zachary Chiang; Changyoun Kim; Eliezer Masliah; Cathy L Barr; Bin Li; Samantha Kuan; Dongsup Kim; Bing Ren
Journal:  Nat Genet       Date:  2019-09-09       Impact factor: 38.330

9.  Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval.

Authors:  Emily A King; J Wade Davis; Jacob F Degner
Journal:  PLoS Genet       Date:  2019-12-12       Impact factor: 5.917

10.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

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  58 in total

Review 1.  Advancing the use of genome-wide association studies for drug repurposing.

Authors:  William R Reay; Murray J Cairns
Journal:  Nat Rev Genet       Date:  2021-07-23       Impact factor: 53.242

Review 2.  Maturation and application of phenome-wide association studies.

Authors:  Shiying Liu; Dana C Crawford
Journal:  Trends Genet       Date:  2022-01-03       Impact factor: 11.639

3.  Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function.

Authors:  Gökcen Eraslan; Eugene Drokhlyansky; Shankara Anand; Evgenij Fiskin; Ayshwarya Subramanian; Michal Slyper; Jiali Wang; Ayellet V Segrè; François Aguet; Orit Rozenblatt-Rosen; Kristin G Ardlie; Aviv Regev; Nicholas Van Wittenberghe; John M Rouhana; Julia Waldman; Orr Ashenberg; Monkol Lek; Danielle Dionne; Thet Su Win; Michael S Cuoco; Olena Kuksenko; Alexander M Tsankov; Philip A Branton; Jamie L Marshall; Anna Greka; Gad Getz
Journal:  Science       Date:  2022-05-13       Impact factor: 63.714

4.  Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation.

Authors:  Courtney J Smith; Nasa Sinnott-Armstrong; Anna Cichońska; Heli Julkunen; Eric B Fauman; Peter Würtz; Jonathan K Pritchard
Journal:  Elife       Date:  2022-09-08       Impact factor: 8.713

5.  Clotting factor genes are associated with preeclampsia in high-altitude pregnant women in the Peruvian Andes.

Authors:  Maria A Nieves-Colón; Keyla M Badillo Rivera; Karla Sandoval; Vanessa Villanueva Dávalos; Luis E Enriquez Lencinas; Javier Mendoza-Revilla; Kaustubh Adhikari; Ram González-Buenfil; Jessica W Chen; Elisa T Zhang; Alexandra Sockell; Patricia Ortiz-Tello; Gloria Malena Hurtado; Ramiro Condori Salas; Ricardo Cebrecos; José C Manzaneda Choque; Franz P Manzaneda Choque; Germán P Yábar Pilco; Erin Rawls; Celeste Eng; Scott Huntsman; Esteban Burchard; Andrés Ruiz-Linares; Rolando González-José; Gabriel Bedoya; Francisco Rothhammer; Maria Cátira Bortolini; Giovanni Poletti; Carla Gallo; Carlos D Bustamante; Julie C Baker; Christopher R Gignoux; Genevieve L Wojcik; Andrés Moreno-Estrada
Journal:  Am J Hum Genet       Date:  2022-05-18       Impact factor: 11.043

6.  Immunotherapy-Mediated Thyroid Dysfunction: Genetic Risk and Impact on Outcomes with PD-1 Blockade in Non-Small Cell Lung Cancer.

Authors:  Jia Luo; Victoria L Martucci; Alexander Gusev; Melinda C Aldrich; Matthew D Hellmann; Elad Ziv; Zoe Quandt; Stefan Groha; Megan H Murray; Christine M Lovly; Hira Rizvi; Jacklynn V Egger; Andrew J Plodkowski; Mohsen Abu-Akeel; Isabell Schulze; Taha Merghoub; Eduardo Cardenas; Scott Huntsman; Min Li; Donglei Hu; Matthew A Gubens
Journal:  Clin Cancer Res       Date:  2021-07-08       Impact factor: 12.531

7.  Variants in BANK1 are associated with lupus nephritis of European ancestry.

Authors:  Karin Bolin; Juliana Imgenberg-Kreuz; Dag Leonard; Johanna K Sandling; Andrei Alexsson; Pascal Pucholt; Malena Loberg Haarhaus; Jonas Carlsson Almlöf; Joanne Nititham; Andreas Jönsen; Christopher Sjöwall; Anders A Bengtsson; Solbritt Rantapää-Dahlqvist; Elisabet Svenungsson; Iva Gunnarsson; Ann-Christine Syvänen; Karoline Lerang; Anne Troldborg; Anne Voss; Øyvind Molberg; Søren Jacobsen; Lindsey Criswell; Lars Rönnblom; Gunnel Nordmark
Journal:  Genes Immun       Date:  2021-06-14       Impact factor: 2.676

8.  Segregation Analysis of Genotyped and Family-Phased, Long Range MHC Classical Class I and Class II Haplotypes in 5 Families With Type 1 Diabetes Proband in the United Arab Emirates.

Authors:  Guan K Tay; Halima Al Naqbi; Aurélie Mawart; Zahrah Baalfaqih; Anoud Almaazmi; Asma Deeb; Habiba Alsafar
Journal:  Front Genet       Date:  2021-06-30       Impact factor: 4.599

9.  Mapping the human genetic architecture of COVID-19.

Authors: 
Journal:  Nature       Date:  2021-07-08       Impact factor: 69.504

10.  The role of genetic polymorphisms in endolysosomal ion channels TPC2 and P2RX4 in cancer pathogenesis, prognosis, and diagnosis: a genetic association in the UK Biobank.

Authors:  Abeer F Alharbi; John Parrington
Journal:  NPJ Genom Med       Date:  2021-07-12       Impact factor: 8.617

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