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Adam S. Butterworth

dblp:187/5721 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-6915-9015ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › fine-mapping
genetic fine-mapping
0.612022
Flashfm-ivis: interactive visualization for fine-mapping of multiple quantitative traits · Bioinform. 2022
Bioinformatics and computational biology › genomics
genome-wide association study
0.412019
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations · Bioinform. 2019
Bioinformatics and computational biology
genomics
0.412019
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations · Bioinform. 2019
Bioinformatics and computational biology › statistical genetics
genetic association study
0.212016
PhenoScanner: a database of human genotype-phenotype associations · Bioinform. 2016
Bioinformatics and computational biology › genomics
variant annotation
0.222019
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations · Bioinform. 2019
PhenoScanner: a database of human genotype-phenotype associations · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

ontology mapping · 0.4linkage disequilibrium analysis · 0.4proxy variant lookup · 0.2
YearPublicationVenuePosition
2022 Flashfm-ivis: interactive visualization for fine-mapping of multiple quantitative traits
abstract
SUMMARY: flashfm-ivis provides a suite of interactive visualization plots to view potential causal genetic variants that underlie associations that are shared or distinct between multiple quantitative traits and compares results between single- and multi-trait fine-mapping. Unique features include network diagrams that show joint effects between variants for each trait and regional association plots that integrate fine-mapping results, all with user-controlled zoom features for an interactive exploration of potential causal variants across traits. AVAILABILITY AND IMPLEMENTATION: flashfm-ivis is an open-source software under the MIT license. It is available as an interactive web-based tool (http://shiny.mrc-bsu.cam.ac.uk/apps/flashfm-ivis/) and as an R package. Code and documentation are available at https://github.com/fz-cambridge/flashfm-ivis and https://zenodo.org/record/6376244#.YjnarC-l2X0. Additional features can be downloaded as standalone R libraries to encourage reuse. SUPPLEMENTARY INFORMATION: Supplementary information are available at Bioinformatics online.
Feng Zhou 0017, Adam S. Butterworth, Jennifer L. Asimit
Bioinform.2
2019 PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations
abstract
SUMMARY: PhenoScanner is a curated database of publicly available results from large-scale genetic association studies in humans. This online tool facilitates 'phenome scans', where genetic variants are cross-referenced for association with many phenotypes of different types. Here we present a major update of PhenoScanner ('PhenoScanner V2'), including over 150 million genetic variants and more than 65 billion associations (compared to 350 million associations in PhenoScanner V1) with diseases and traits, gene expression, metabolite and protein levels, and epigenetic markers. The query options have been extended to include searches by genes, genomic regions and phenotypes, as well as for genetic variants. All variants are positionally annotated using the Variant Effect Predictor and the phenotypes are mapped to Experimental Factor Ontology terms. Linkage disequilibrium statistics from the 1000 Genomes project can be used to search for phenotype associations with proxy variants. AVAILABILITY AND IMPLEMENTATION: PhenoScanner V2 is available at www.phenoscanner.medschl.cam.ac.uk.
Mihir A. Kamat, James A. Blackshaw, Robin Young, Praveen Surendran, Stephen Burgess, John Danesh, Adam S. Butterworth, James R. Staley
Bioinform.7
2016 PhenoScanner: a database of human genotype-phenotype associations
abstract
PhenoScanner is a curated database of publicly available results from large-scale genetic association studies. This tool aims to facilitate 'phenome scans', the cross-referencing of genetic variants with many phenotypes, to help aid understanding of disease pathways and biology. The database currently contains over 350 million association results and over 10 million unique genetic variants, mostly single nucleotide polymorphisms. It is accompanied by a web-based tool that queries the database for associations with user-specified variants, providing results according to the same effect and non-effect alleles for each input variant. The tool provides the option of searching for trait associations with proxies of the input variants, calculated using the European samples from 1000 Genomes and Hapmap. AVAILABILITY AND IMPLEMENTATION: PhenoScanner is available at www.phenoscanner.medschl.cam.ac.uk CONTACT: [email protected] information: Supplementary data are available at Bioinformatics online.
James R. Staley, James A. Blackshaw, Mihir A. Kamat, Steve Ellis, Praveen Surendran, Benjamin B. Sun, Dirk S. Paul, Daniel Freitag, Stephen Burgess, John Danesh, Robin Young, Adam S. Butterworth
Bioinform.12