Frequency and Phenotype Associations of Rare Variants in 5 Monogenic Cerebral Small Vessel Disease Genes in 200,000 UK Biobank Participants
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Updated: Aug 30, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Amy Christina Ferguson1, Sophie Thrippleton1, David Henshall1
1Centre for Medical Informatics (A.C.F., D.H., A.T., K.Rannikmae), Usher Institute, University of Edinburgh; Edinburgh Medical School (S.T., E.W.), University of Edinburgh; Centre for Cardiovascular Science (B.C.), The Queen's Medical Research Institute, University of Edinburgh; Centre for Clinical Brain Sciences (M.M.), University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (ISD) (R.M.), University Hospital, LMU Munich, Germany; The Roslin Institute (K. Rawlik, A.T.), University of Edinburgh; MRC Human Genetics Unit (A.T.), Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital; and BHF Data Science Centre (C.S.), Health Death Research UK, London, United Kingdom.
Background And Objectives:
Based on previous case reports and disease-based cohorts, a minority of patients with cerebral small vessel disease (cSVD) have a monogenic cause, with many also manifesting extracerebral phenotypes. We investigated the frequency, penetrance, and phenotype associations of putative pathogenic variants in cSVD genes in the UK Biobank (UKB), a large population-based study.
Methods:
We used a systematic review of previous literature and ClinVar to identify putative pathogenic rare variants in CTSA, TREX1, HTRA1, and COL4A1/2. We mapped phenotypes previously attributed to these variants (phenotypes-of-interest) to disease coding systems used in the UKB's linked health data from UK hospital admissions, death records, and primary care. Among 199,313 exome-sequenced UKB participants, we assessed the following: the proportion of participants carrying ≥1 variant(s); phenotype-of-interest penetrance; and the association between variant carrier status and phenotypes-of-interest using a binary (any phenotype present/absent) and phenotype burden (linear score of the number of phenotypes a participant possessed) approach.
Results:
Among UKB participants, 0.5% had ≥1 variant(s) in studied genes. Using hospital admission and death records, 4%-20% of variant carriers per gene had an associated phenotype. This increased to 7%-55% when including primary care records. Only COL4A1 variant carrier status was significantly associated with having ≥1 phenotype-of-interest and a higher phenotype score (OR = 1.29, p = 0.006).
Discussion:
While putative pathogenic rare variants in monogenic cSVD genes occur in 1:200 people in the UKB population, only approximately half of variant carriers have a relevant disease phenotype recorded in their linked health data. We could not replicate most previously reported gene-phenotype associations, suggesting lower penetrance rates, overestimated pathogenicity, and/or limited statistical power.
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