Analysis of 470,000 exome-sequenced UK biobank participants identifies genes containing rare variants which confer dementia risk

Previous studies have reported that rare coding variants in a handful of genes have major effects on risk of Alzheimer's disease (AD). A recent exome wide association study (ExWAS) of dementia in a subset of the UK Biobank cohort implicated a number of genes, including five which were novel. Here we report a similar analysis, carried out on the full cohort of 470,000 exome-sequenced participants. A score was assigned to each participant depending on individual and/or parental diagnosis of dementia. Regression analysis including <i>APOE</i> ε3 and ε4 doses as covariates was applied to gene-wise tests for association with loss of function (LOF) and nonsynonymous variants. 45 tests using different pathogenicity predictors were applied to the first cohort of 200,000 participants. Subsequently the 100 genes showing strongest evidence for association were analysed in the second cohort of 270,000 participants, using only the best-performing predictor for each gene. Three genes achieved statistical significance, <i>TREM2</i>, <i>SORL1</i> and <i>ABCA7</i>. The five genes reported as novel in the ExWAS did not produce any appreciable evidence for association in this study. The effects and frequencies of variants in different functional categories were characterised for these genes. Rare coding variants in a small number of genes have important effects on dementia risk. Further study of individual variant effects might elucidate mechanisms of pathogenesis. Incorporating rare variant effects for individual risk assessment might become important if preventative treatments for dementia become available. This research has been conducted using the UK Biobank Resource.

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Publication Details

Journal
Journal of Neurogenetics
Published
2025-06-27
DOI
https://doi.org/10.1080/01677063.2025.2522643
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.82
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article

Analysis of 470,000 exome-sequenced UK biobank participants identifies genes containing rare variants which confer dementia risk

Laura E. Gibbons, David Curtis
1 citations
Journal of Neurogenetics
Genomics and Rare Diseases
1.82
article

Analysis of 470,000 exome-sequenced UK biobank participants identifies genes containing rare variants which confer dementia risk

Laura E. Gibbons, David Curtis
article en
1 citations

Abstract

Previous studies have reported that rare coding variants in a handful of genes have major effects on risk of Alzheimer's disease (AD). A recent exome wide association study (ExWAS) of dementia in a subset of the UK Biobank cohort implicated a number of genes, including five which were novel. Here we report a similar analysis, carried out on the full cohort of 470,000 exome-sequenced participants. A score was assigned to each participant depending on individual and/or parental diagnosis of dementia. Regression analysis including <i>APOE</i> ε3 and ε4 doses as covariates was applied to gene-wise tests for association with loss of function (LOF) and nonsynonymous variants. 45 tests using different pathogenicity predictors were applied to the first cohort of 200,000 participants. Subsequently the 100 genes showing strongest evidence for association were analysed in the second cohort of 270,000 participants, using only the best-performing predictor for each gene. Three genes achieved statistical significance, <i>TREM2</i>, <i>SORL1</i> and <i>ABCA7</i>. The five genes reported as novel in the ExWAS did not produce any appreciable evidence for association in this study. The effects and frequencies of variants in different functional categories were characterised for these genes. Rare coding variants in a small number of genes have important effects on dementia risk. Further study of individual variant effects might elucidate mechanisms of pathogenesis. Incorporating rare variant effects for individual risk assessment might become important if preventative treatments for dementia become available. This research has been conducted using the UK Biobank Resource.

Journal of NeurogeneticsVol. 39(2-3)
University College London (GB)
Openalex Percentile: Top 15%
Genomics and Rare Diseases
1.82
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Analysis of 470,000 exome-sequenced UK biobank participants identifies genes containing rare variants which confer dementia risk — Laura E. Gibbons, David Curtis · Journal of Neurogenetics (2025) | TGRS Research Map | TGRS