Evidence map›Paper›PMID 34626176›Full record

ArticleBrain : a journal of neurology2021

Whole-exome sequencing reveals a role of HTRA1 and EGFL8 in brain white matter hyperintensities.

Rainer Malik, Nathalie Beaufort, Simon Frerich, Benno Gesierich, Marios K Georgakis, Kristiina Rannikmäe, Amy C Ferguson, Christof Haffner, Matthew Traylor, Michael Ehrmann and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Rare damagingmedRxiv : the preprint server for health sciences · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Rainer MalikInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0001-9212-2520
Nathalie BeaufortInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.
Simon FrerichInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.
Benno GesierichInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.
Marios K GeorgakisInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0003-3507-3659
Kristiina RannikmäeCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK.ORCID 0000-0002-2384-7568
Amy C FergusonCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK.
Christof HaffnerInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0002-9823-3528
Matthew TraylorClinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK.ORCID 0000-0001-6624-8621
Michael EhrmannCenter of Medical Biotechnology, Faculty of Biology, University Duisburg-Essen, Essen 45141, Germany.
Cathie L M SudlowCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK.ORCID 0000-0002-7725-7520
Martin DichgansInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany.
Ludwig-Maximilians-Universität München · DEUniversity of Edinburgh · GBGerman Center for Neurodegenerative Diseases · DEHealth Data Research UK · GBQueen Mary University of London · GBUniversity of Duisburg-Essen · DE

Funding

British Heart Foundation RE/18/5/34216Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/S004130/1
6 · The paper itself

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 their volume, the contribution of rare variants to the WMH burden in the general population remains largely unexplored. We conducted a comprehensive analysis of this burden in the UK Biobank using publicly available whole-exome sequencing data (n up to 17 830) 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, β = -0.74, standard error (SE) = 0.13, P = 9.7 × 10-9]. Applying whole-exome gene-based burden tests, we found damaging missense and loss-of-function variants in HTRA1 (frequency of 1 in 275 in the UK Biobank population) to associate with an increased WMH volume (P = 5.5 × 10-6, false discovery rate = 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; β = 0.79, SE = 0.14, P = 9.4 × 10-8). The frequency of such variants in the UK Biobank population was 1 in 450. The WMH volume was brought forward by ∼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 (β = 0.26, SE = 0.02, P = 2.9 × 10-59) or being in the upper 99.8% percentile of the distribution of a polygenic risk score based on common genetic variants (β = 0.44, SE = 0.14, P = 0.002). In biochemical experiments, most (6/9) of the identified protease domain variants resulted in markedly reduced protease activity. We further found EGFL8, which showed suggestive evidence for association with WMH volume (P = 1.5 × 10-4, false discovery rate = 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 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 (odds ratio = 12.24, 95%CI: 2.54-35.25; P = 8.3 × 10-5]. Collectively, these findings highlight an important role of rare genetic variation and the HTRA1 protease in determining WMH burden in the general population.

Indexed as

BrainCalcium-Binding ProteinsEGF Family of ProteinsExome SequencingFemaleHEK293 CellsHigh-Temperature Requirement A Serine Peptidase 1HumansMaleMiddle AgedUnited KingdomWhite MatterCalcium-Binding ProteinsEGF Family of ProteinsEGFL8 protein, humanHigh-Temperature Requirement A Serine Peptidase 1HTRA1 protein, humanburden testHTRA1UK Biobankwhite matter hyperintensitieswhole-exome sequencing

Identifiers

PMID34626176
PMCPMC8557338
OpenAlexW3202807896

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.