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. 2020 Dec;52(12):1303-1313.
doi: 10.1038/s41588-020-00725-7. Epub 2020 Nov 16.

Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors

Mark K Bakker  1 Rick A A van der Spek  2 Wouter van Rheenen  2 Sandrine Morel  3   4 Romain Bourcier  5   6 Isabel C Hostettler  7   8 Varinder S Alg  7 Kristel R van Eijk  2 Masaru Koido  9   10 Masato Akiyama  9   11   12 Chikashi Terao  9 Koichi Matsuda  13   14 Robin G Walters  15   16 Kuang Lin  15 Liming Li  17 Iona Y Millwood  15   16 Zhengming Chen  15   16 Guy A Rouleau  18 Sirui Zhou  19 Kristiina Rannikmäe  20 Cathie L M Sudlow  20   21 Henry Houlden  22 Leonard H van den Berg  2 Christian Dina  5 Olivier Naggara  23   24 Jean-Christophe Gentric  25 Eimad Shotar  26 François Eugène  27 Hubert Desal  5   6 Bendik S Winsvold  28   29 Sigrid Børte  29   30   31 Marianne Bakke Johnsen  29   30   31 Ben M Brumpton  29 Marie Søfteland Sandvei  32   33 Cristen J Willer  34 Kristian Hveem  29   35 John-Anker Zwart  28   29   31 W M Monique Verschuren  36   37 Christoph M Friedrich  38   39 Sven Hirsch  40 Sabine Schilling  40 Jérôme Dauvillier  41 Olivier Martin  41 HUNT All-In StrokeChina Kadoorie Biobank Collaborative GroupBioBank Japan Project ConsortiumICAN Study GroupCADISP GroupGenetics and Observational Subarachnoid Haemorrhage (GOSH) Study investigatorsInternational Stroke Genetics Consortium (ISGC)Gregory T Jones  42 Matthew J Bown  43   44 Nerissa U Ko  45 Helen Kim  46   47   48 Jonathan R I Coleman  49   50 Gerome Breen  49   50 Jonathan G Zaroff  51 Catharina J M Klijn  52 Rainer Malik  53 Martin Dichgans  54   55 Muralidharan Sargurupremraj  56   57 Turgut Tatlisumak  58 Philippe Amouyel  59 Stéphanie Debette  56   57 Gabriel J E Rinkel  2 Bradford B Worrall  60 Joanna Pera  61 Agnieszka Slowik  61 Emília I Gaál-Paavola  62   63 Mika Niemelä  62 Juha E Jääskeläinen  64   65 Mikael von Und Zu Fraunberg  64   65 Antti Lindgren  64   65 Joseph P Broderick  66 David J Werring  7 Daniel Woo  66 Richard Redon  5 Philippe Bijlenga  4 Yoichiro Kamatani  9   13 Jan H Veldink  2 Ynte M Ruigrok  67
Collaborators, Affiliations

Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors

Mark K Bakker et al. Nat Genet. 2020 Dec.

Erratum in

  • Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.
    Bakker MK, van der Spek RAA, van Rheenen W, Morel S, Bourcier R, Hostettler IC, Alg VS, van Eijk KR, Koido M, Akiyama M, Terao C, Matsuda K, Walters RG, Lin K, Li L, Millwood IY, Chen Z, Rouleau GA, Zhou S, Rannikmäe K, Sudlow CLM, Houlden H, van den Berg LH, Dina C, Naggara O, Gentric JC, Shotar E, Eugène F, Desal H, Winsvold BS, Børte S, Johnsen MB, Brumpton BM, Sandvei MS, Willer CJ, Hveem K, Zwart JA, Verschuren WMM, Friedrich CM, Hirsch S, Schilling S, Dauvillier J, Martin O; HUNT All-In Stroke; China Kadoorie Biobank Collaborative Group; BioBank Japan Project Consortium; ICAN Study Group; CADISP Group; Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study investigators; International Stroke Genetics Consortium (ISGC); Jones GT, Bown MJ, Ko NU, Kim H, Coleman JRI, Breen G, Zaroff JG, Klijn CJM, Malik R, Dichgans M, Sargurupremraj M, Tatlisumak T, Amouyel P, Debette S, Rinkel GJE, Worrall BB, Pera J, Slowik A, Gaál-Paavola EI, Niemelä M, Jääskeläinen JE, von Und Zu Fraunberg M, Lindgren A, Broderick JP, Werring DJ, Woo D, Redon R, Bijlenga P, Kamatani Y, Veldink JH, Ruigrok YM. Bakker MK, et al. Nat Genet. 2021 Feb;53(2):254. doi: 10.1038/s41588-020-00760-4. Nat Genet. 2021. PMID: 33353957 No abstract available.

Abstract

Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.

Trial registration: ClinicalTrials.gov NCT02848495.

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Conflict of interest statement

Competing Interests

When this study was conducted, C.L.M.S. was chief scientist for the UK Biobank study.

Figures

Figure 1
Figure 1. GWAS meta-analysis association results.
SAIGE logistic mixed model association P-values of the Stage 1 (upwards direction) and Stage 2 (downwards direction) GWAS meta-analyses. The horizontal axis indicates chromosomal position. The vertical axis indicates -log10(P-value) of the association. The dotted lines indicate the genome-wide significance threshold of P=5·10-8. Lead SNPs of each locus are highlighted with a diamond, and SNPs in close proximity (±500Kbp) are colored in pink or purple, depending on chromosome index parity. Labels are gene or locus names annotated using SMR, eCAVIAR and TWAS, or prior information of intracranial aneurysm-associated genes. Labels or loci identified only in the Stage 2 GWAS are shown in red.
Figure 2
Figure 2. Heritability and functional enrichment analyses.
a) Partitioned LDSR enrichment of regulatory elements. Labels indicate type of regulatory element or histone mark. On the horizontal axis, the enrichment is shown. Enrichment=1 indicates no enrichment. Statistical significance was defined as P-value below 0.05 divided by the number of annotations (52). Effective N varies per SNP (see data availability statement). Points are estimates and error bars denote one standard error in the direction of no effect. Statistics derived from two-sided, weighted linear regression. No P-value adjustment. b) Partitioned LDSR heritability analysis per chromosome. On the horizontal axis the proportion of SNPs on each chromosome is shown. On the vertical axis the proportion of SNP-based heritability. The linear regression line is shown in blue. Data is presented as point estimate ± standard error. Statistics the same as used for 2a. c) Partitioned LDSR enrichment analysis of scRNAseq brain cell types. Format and statistics are the same as used for 2a. d) GARFIELD analysis of tissues. On the horizontal axis, the enrichment of annotations is shown; on the vertical axis, the corresponding -log10(P-value). Dashed line indicates the significance threshold of P=0.05 divided by the number of annotations. Odds ratios are derived by logistic regression. P-values are unadjusted, derived from two-sided test. e) GARFIELD analysis of regulatory regions defined by histone modifications. Format and statistics are the same as used for 2d).
Figure 3
Figure 3. Cross-trait analyses.
a) GSMR analysis of UK Biobank predictors on the Stage 1 intracranial aneurysm GWAS, conditioned on traits depicted by column labels with mtCOJO. Numeric values are the GSMR effect sizes. The top 13 traits are blood pressure-related traits. The bottom three traits are smoking-related. Statistical significance was defined as P-value below 0.05 divided by the number of traits that passed quality control (376). Square fill colors indicate -log10(P-value) of the GSMR effect. All 16 traits that pass the multiple testing threshold for significance in the unconditioned analysis are shown. BP: blood pressure. Presented N is sample size in UK Biobank GWAS. For intracranial aneurysms, effective N per SNP was used. P-values from two-sided linear regression, unadjusted. b) Causality diagram further explaining the analyses of 2a: GSMR analysis showed that genetic risk for smoking and BP are causative of intracranial aneurysms. Using mtCOJO, it was found that the genetic factors associated with BP and smoking cause intracranial aneurysms through independent mechanisms. Statistics the same as used for 3a. BP N=317,754 samples, smoking N=101,726 samples. c) Genetic correlation analysis with LDSR. Genetic correlation estimates are indicated by color and numeric value. Axis labels on the left denote the trait correlated with intracranial aneurysms. Labels on the top denote the trait for which the Stage 1 intracranial aneurysm GWAS was conditioned using mtCOJO. More details in Supplementary Table 3. Presented N is effective sample size for trait on the left. Except for IS and ICH+IS, where an N per SNP was used and average N is shown. IS: ischemic stroke. ICH: intracerebral hemorrhage. AAA: abdominal aortic aneurysm.

References

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