Dr Andy Law
Group Leader/Senior Research Fellow

Contact details
Address
- Street
-
The Roslin Institute
Easter Bush Campus
Midlothian - City
- Post code
- EH25 9RG
Research summary
The development of simple-to-use systems for handling and reformatting data for genetic analyses.
Current research interests
My group works to develop tools and resources for biologists to use in their research exploring the genome and the genetics and genomics of complex traits in farmed and companion animals. Examples of our work include the ArkDBdatabase system and the resSpecies system which hold information pertaining to published genetic linkage maps and provide a means of handling raw experimental data from genetic linkage mapping, QTL mapping and association studies. Websites resSpecies is a web-based system designed to handle data from genetic linkage mapping, quantitative trait locus (QTL) mapping and genetic association studies. It is implemented as a java web application running on top of a postgres database management system. The system is free to use for academics - we provide username/password-based protection of data to restrict access to colaborators and are currently developing the system to provide post-publication access to accession-based data sets in order to simplify the publishing and data-sharing process. You can try out the system for yourself at the resSpecies website-
GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19
(30 pages)
In:
Nature, vol. 617, pp. 763-793
DOI: https://doi.org/10.1038/s41586-023-06034-3
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Patient emergency healthcare trajectories preceding COVID-19 hospitalisation and longer term outcomes: a national cohort study
In:
The Lancet Digital Health
Research output: Contribution to Journal › Article (Accepted/In press) -
Outcome of COVID-19 in hospitalised immunocompromised patients: An analysis of the WHO ISARIC CCP-UK prospective cohort study
In:
PLoS Medicine, vol. 20, pp. e1004086
DOI: https://doi.org/10.1371/journal.pmed.1004086
Research output: Contribution to Journal › Article (Published) -
Systematic comparison of ranking aggregation methods for gene lists in experimental results
In:
Bioinformatics, vol. 38, pp. 4927-4933
DOI: https://doi.org/10.1093/bioinformatics/btac621
Research output: Contribution to Journal › Article (Published) -
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
In:
Scientific Data, vol. 9, pp. 454
DOI: https://doi.org/10.1038/s41597-022-01534-9
Research output: Contribution to Journal › Article (Published) -
Whole genome sequencing reveals host factors underlying critical Covid-19
In:
Nature, vol. 607, pp. 97-103
DOI: https://doi.org/10.1038/s41586-022-04576-6
Research output: Contribution to Journal › Article (Published) -
Procalcitonin Is Not a Reliable Biomarker of Bacterial Coinfection in People With Coronavirus Disease 2019 Undergoing Microbiological Investigation at the Time of Hospital Admission
In:
Open forum infectious diseases, vol. 9
DOI: https://doi.org/10.1093/ofid/ofac179
Research output: Contribution to Journal › Article (Published) -
A prenylated dsRNA sensor protects against severe COVID-19
In:
Science
DOI: https://doi.org/10.1126/science.abj3624
Research output: Contribution to Journal › Article (E-pub ahead of print) -
A novel strain of lumpy skin disease virus causes clinical disease in cattle in Hong Kong
In:
Transboundary and Emerging Diseases
DOI: https://doi.org/10.1111/tbed.14304
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
In:
Nature Communications, vol. 12
DOI: https://doi.org/10.1038/s41467-021-23143-7
Research output: Contribution to Journal › Article (Published)