• Queen Mary University of London
  • Barts Health NHS
  • Bradford NHS
  • Manchester Uni

Scientific Publications

The major genetic risk factor for severe COVID-19 is inherited from Neanderthals.

(Genes & Health contributed as one of 8 international cohorts to the hospitalised inpatient phenotype analysis of the COVID-19 Host Genetics Initiative)

Nature (2020). DOI https://doi.org/10.1038/s41586-020-2818-3

 

Genetic mechanisms of critical illness in Covid-19.

(Genes & Health contributed as one of 8 international cohorts to the hospitalised inpatient phenotype analysis of the COVID-19 Host Genetics Initiative)

medRxiv 2020.09.24.20200048; DOI https://doi.org/10.1101/2020.09.24.20200048

 

Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations.

Cell 2020 Sept 3. DOI https://doi.org/10.1016/j.cell.2020.06.045

 

Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

(Genes & Health contributed as one of 8 international cohorts to the hospitalised inpatient phenotype analysis of the COVID-19 Host Genetics Initiative)

New England Journal of Medicine 2020 Jun 17. DOI https://doi.org/10.1056/NEJMoa2020283

 

Evaluating potential drug targets through human loss-of-function genetic variation.

Nature 2020 May;581(7809):459-464. DOI https://doi.org/10.1101/530881

 

Characterising a healthy adult with a rare HAO1 knockout to support a therapeutic strategy for primary hyperoxaluria.

eLife 2020;9:e54363. DOI https://doi.org/10.7554/eLife.54363

 

Cohort Profile: East London Genes & Health (ELGH), a community based population genomics and health study in people of British-Bangladeshi and -Pakistani heritage.

International Journal of Epidemiology 2019 Feb, 49(1), 20–21i. DOI https://doi.org/10.1093/ije/dyz174

 

Effects of autozygosity on a broad range of human phenotypes.

Nature Communications 2019 Oct 31;10(1):4957. DOI https://doi.org/10.1038/s41467-019-12283-6

 

Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference.

Nature Communications 2018 Feb 19;9(1):711. DOI https://doi.org/10.1038/s41467-018-03109-y

 

Estimating the human mutation rate from autozygous segments reveals population differences in human mutational processes.

Nature Communications 2017 Aug 21;8(1):303. DOI https://doi.org/10.1038/s41467-017-00323-y

 

Health and population effects of rare gene knockouts in adult humans with related parents.

Science 2016 Apr 22;352(6284):474-7. DOI https://doi.org/10.1126/science.aac8624