Whole-exome sequencing in 16,511 individuals reveals a role of the HTRA1 protease and its substrate EGFL8 in brain white matter hyperintensities
Rainer MalikiD, Nathalie BeaufortiD, Simon FrerichiD, Benno G. GesierichiD, Marios K. GeorgakisiD, Kristiina RannikmäeiD, Amy FergusoniD, Christof HaffneriD, Matthew TrayloriD, Michael EhrmanniD, Cathie L. M. SudlowiD, Martin DichgansiD
Abstract
White matter hyperintensities (WMH) are among the most common radiological abnormalities in the ageing population and an established risk factor for stroke and dementia. While common variant association studies have revealed multiple genetic loci with an influence on WMH volume, the contribution of rare variants to WMH burden in the general population remains largely unexplored. We conducted a comprehensive analysis of WMH burden in the UK Biobank using publicly available whole-exome sequencing data (N=16,511) and found a splice-site variant in GBE1, encoding 1,4-alpha-glucan branching enzyme 1, to be associated with lower white matter burden on an exome-wide level (c.691+2T>C, beta=-0.74, se=0.13, p=9.7E-9). Applying whole-exome gene-based burden tests, we found damaging missense and loss-of-function variants in HTRA1 to associate with increased WMH volume (p=5.5E-6, FDR=0.04). HTRA1 encodes a secreted serine protease implicated in familial forms of small vessel disease. Domain-specific burden tests revealed that the association with WMH volume was restricted to rare variants in the protease domain (amino acids 204-364; beta=0.79, se=0.14, p=9.4E-8). The frequency of such variants in the UK Biobank population was 1 in 450. WMH volume was brought forward by approximately 11 years in carriers of a rare protease domain variant. A comparison with the effect size of established risk factors for WMH burden revealed that the presence of a rare variant in the HTRA1 protease domain corresponded to a larger effect than meeting the criteria for hypertension (beta=0.26, se=0.02, p=2.9E-59) or being in the upper 99.8% percentile of the distribution of a polygenic risk score based on common genetic variants (beta=0.44, se=0.14, p=0.002). In biochemical experiments, most (6/9) of the identified protease domain variants resulted in a markedly reduced protease activity. We further found EGFL8, which showed suggestive evidence for association with WMH volume (p=1.5E-4, FDR=0.22) in gene burden tests, to be a direct substrate of HTRA1 and to be preferentially expressed in cerebral arterioles and arteries. In a phenome-wide association study (PheWAS) mapping ICD-10 diagnoses to 741 standardized Phecodes, rare variants in the HTRA1 protease domain were associated with multiple neurological and non-neurological conditions including migraine with aura (OR=12.24, 95%CI [2.54-35.25], p=8.3E-5). Collectively, these findings highlight an important role of rare genetic variation and of the HTRA1 protease in determining WMH burden in the general population.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 44
- FWCI
- 3.58
- Field percentile
- top 5%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities
Michele Veldsman, Petya Kindalova, … Thomas E. Nichols·NeuroImage ClinicalPeer-reviewed·Jan 1, 2020
- Common genetic variation influencing human white matter microstructure
Bingxin Zhao, Tengfei Li, … Hongtu Zhu B·SciencePeer-reviewed·Jun 17, 2021
- White matter hyperintensity genetic risk factor TRIM47 regulates autophagy in brain endothelial cells
Sunny Hoi‐Sang Yeung, Ralph Hon‐Sun Lee, … Kai‐Hei Tse·The FASEB JournalPeer-reviewed·Sep 27, 2024
- Impact of cardiometabolic factors and blood beta-amyloid on the volume of white matter hyperintensities in dementia-free subjects with cognitive complaints
Patricio Riquelme-Contreras, Michael Hornberger, … Andrea Slachevsky·bioRxiv·Jun 10, 2024
- Topographic reference modelling of white matter hyperintensities across the adult lifespan
Mohamad J. Alshikho, Jeffrey D. Pyne, … Adam M. Brickman·bioRxiv·Nov 3, 2026
- Spatial signature of white matter hyperintensities in stroke patients
Markus D. Schirmer, Anne‐Katrin Giese, … Natalia S. Rost·Frontiers in NeurologyPeer-reviewed·Mar 19, 2019