A Genomics England haplotype reference panel and imputation of UK Biobank

We built a reference panel with 342 million autosomal variants using 78,195 individuals from the Genomics England (GEL) dataset, achieving a phasing switch error rate of 0.18% for European samples and imputation quality of r<sup>2</sup> = 0.75 for variants with minor allele frequencies as low as 2 × 10<sup>-4</sup> in white British samples. The GEL-imputed UK Biobank genome-wide association analysis identified 70% of associations found by direct exome sequencing (P < 2.18 × 10<sup>-11</sup>), while extending testing of rare variants to the entire genome. Coding variants dominated the rare-variant genome-wide association results, implying less disruptive effects of rare non-coding variants.

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Publication Details

Journal
Nature Genetics
Published
2024-08-12
DOI
https://doi.org/10.1038/s41588-024-01868-7
Citations
21
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
11.56

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article

A Genomics England haplotype reference panel and imputation of UK Biobank

Anna C. Need, Pier Francesco Palamara, Simone Rubinacci, Loukas Moutsianas et al.
21 citations
Nature Genetics
Genetic Associations and Epidemiology
11.56
article

A Genomics England haplotype reference panel and imputation of UK Biobank

Anna C. Need, Pier Francesco Palamara, Simone Rubinacci, Loukas Moutsianas, Sile Hu, Alexander Stuckey, Jonathan Marchini, Simon Myers, Sinan Shi, Mark J. Caulfield
article en
21 citations

Abstract

We built a reference panel with 342 million autosomal variants using 78,195 individuals from the Genomics England (GEL) dataset, achieving a phasing switch error rate of 0.18% for European samples and imputation quality of r<sup>2</sup> = 0.75 for variants with minor allele frequencies as low as 2 × 10<sup>-4</sup> in white British samples. The GEL-imputed UK Biobank genome-wide association analysis identified 70% of associations found by direct exome sequencing (P < 2.18 × 10<sup>-11</sup>), while extending testing of rare variants to the entire genome. Coding variants dominated the rare-variant genome-wide association results, implying less disruptive effects of rare non-coding variants.

Nature GeneticsVol. 56(9)
Harvard University (US), Queen Mary University of London (GB), Regeneron (United States) (US), University of Oxford (GB), Novo Nordisk (United Kingdom) (GB), Genomics England (GB), Science Oxford (GB)
Wellcome Trust, Barts Charity, Cancer Research UK, National Institute for Health and Care Research, Department of Health and Social Care, Medical Research Council
Partnerships for the goals
Openalex Percentile: Top 1%
Genetic Associations and Epidemiology
11.56
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