Author

Daniel King

Broad Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:clinical cohort / trial· 1 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:mixed model· 1

Frequent Co-Authors

A. Paul BevaniD· 1 shared Abhijit DixitiD· 1 shared Adrian R. TiveyiD· 1 shared Alan DonaldsoniD· 1 shared Alan E Fryer· 1 shared Alejandro SifrimiD· 1 shared Alexis Duncan· 1 shared Alicia R. MartiniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

A. Paul BevanORCID

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2 papers

Recent·Most cited

Pan-UK Biobank GWAS improves discovery, analysis of genetic architecture, and resolution into ancestry-enriched effects

Konrad J. Karczewski, Rahul Gupta, Masahiro Kanai, Wenhan Lu, Kristin Tsuo, Ying Wang, Raymond Kenney Walters, Patrick Turley, Shawneequa Callier, Nirav N. Shah, Nikolas A. Baya, Duncan S. Palmer, Jacqueline I. Goldstein, Gopal Sarma, Matthew Solomonson, , Alicia R. Martin

Meta-analyzing per-ancestry GWAS of 7,266 UK Biobank traits across six genetic ancestry groups adds 14,676 loci missed by European-only analysis, including ancestry-enriched CAMK2D and G6PD signals.

medRxiv · Mar 13, 2024 · PreprintGenetic & Genomic Medicine✦ In-depth digest

Prevalence, phenotype and architecture of developmental disorders caused by de novo mutation

Jeremy F. McRae, Stephen Clayton, Tomas W. Fitzgerald, Joanna Kaplanis, Elena Prigmore, Diana Rajan, Alejandro Sifrim, Stuart Aitken, Nadia A. Akawi, Mohsan Alvi, Kirsty Ambridge, Daniel M. Barrett, Tanya Bayzetinova, Philip Jones, Wendy D. Jones, , Neeti Ghali

The paper analyzes de novo mutations in developmental disorders using exome sequencing of 4,293 families, identifying 94 genes and estimating a birth prevalence of 0.22-0.47%.

bioRxiv · Mar 7, 2019 · PreprintGenetics