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  • 1
    In: Brain, Oxford University Press (OUP), Vol. 146, No. 2 ( 2023-02-13), p. 492-506
    Abstract: Cerebral white matter hyperintensities on MRI are markers of cerebral small vessel disease, a major risk factor for dementia and stroke. Despite the successful identification of multiple genetic variants associated with this highly heritable condition, its genetic architecture remains incompletely understood. More specifically, the role of DNA methylation has received little attention. We investigated the association between white matter hyperintensity burden and DNA methylation in blood at ∼450 000 cytosine-phosphate-guanine (CpG) sites in 9732 middle-aged to older adults from 14 community-based studies. Single CpG and region-based association analyses were carried out. Functional annotation and integrative cross-omics analyses were performed to identify novel genes underlying the relationship between DNA methylation and white matter hyperintensities. We identified 12 single CpG and 46 region-based DNA methylation associations with white matter hyperintensity burden. Our top discovery single CpG, cg24202936 (P = 7.6 × 10−8), was associated with F2 expression in blood (P = 6.4 × 10−5) and co-localized with FOLH1 expression in brain (posterior probability = 0.75). Our top differentially methylated regions were in PRMT1 and in CCDC144NL-AS1, which were also represented in single CpG associations (cg17417856 and cg06809326, respectively). Through Mendelian randomization analyses cg06809326 was putatively associated with white matter hyperintensity burden (P = 0.03) and expression of CCDC144NL-AS1 possibly mediated this association. Differentially methylated region analysis, joint epigenetic association analysis and multi-omics co-localization analysis consistently identified a role of DNA methylation near SH3PXD2A, a locus previously identified in genome-wide association studies of white matter hyperintensities. Gene set enrichment analyses revealed functions of the identified DNA methylation loci in the blood–brain barrier and in the immune response. Integrative cross-omics analysis identified 19 key regulatory genes in two networks related to extracellular matrix organization, and lipid and lipoprotein metabolism. A drug-repositioning analysis indicated antihyperlipidaemic agents, more specifically peroxisome proliferator-activated receptor-alpha, as possible target drugs for white matter hyperintensities. Our epigenome-wide association study and integrative cross-omics analyses implicate novel genes influencing white matter hyperintensity burden, which converged on pathways related to the immune response and to a compromised blood–brain barrier possibly due to disrupted cell–cell and cell–extracellular matrix interactions. The results also suggest that antihyperlipidaemic therapy may contribute to lowering risk for white matter hyperintensities possibly through protection against blood–brain barrier disruption.
    Type of Medium: Online Resource
    ISSN: 0006-8950 , 1460-2156
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1474117-9
    SSG: 12
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  • 2
    In: Nature, Springer Science and Business Media LLC, Vol. 611, No. 7934 ( 2022-11-03), p. 115-123
    Abstract: Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry 1,2 . Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated ( P   〈  0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis 3 , and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN ) and variants (such as at GRK5 and NOS3 ). Using a three-pronged approach 4 , we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry 5 . Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 120714-3
    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 3
    In: Nature, Springer Science and Business Media LLC, Vol. 612, No. 7938 ( 2022-12-01), p. E7-E7
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
    RVK:
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 120714-3
    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 4
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S3 ( 2022-12)
    Abstract: Genome‐wide association studies (GWAS) have identified more than 40 genetic loci associated with Alzheimer’s disease (AD). Although vascular dementia (VaD) is the second most common type of dementia after AD, the genetic contribution to VaD is understudied. We hypothesize that common forms of dementia will share genetic risk factors. We conducted the largest trans‐ancestral GWAS of "all‐cause dementia" (ACD), VaD, and examined the underlying biological mechanisms Method Donors from 16 population‐based CHARGE cohorts, two national case‐control consortia (ADGC, MEMENTO), and the UKBB contributed 46,533 and 4,078 cases of ACD and VaD, respectively. The overall sample (475,577) included European, African, Asian, and Hispanic ancestry. We conducted ancestry‐specific and trans‐ancestral meta‐analyses using METAL and MR‐MEGA, respectively. We explored the shared genetics of ACD with related disease traits and risk factors. Using a Bayesian approach, the level of polygenicity is explored across dementia and closely related traits, followed by a multi‐trait GWAS including ACD with traits of identical polygenic background. Finally, genome‐wide (GW) signals were functionally prioritized using a TWAS study. Result For ACD, we replicated ten known AD loci, including regions near APOE and BIN1. We found novel suggestive loci near SEMA4D, ANO3, AJAP1, HBEGF, and RBFFOX1. These loci were previously associated with energy transport throughout the brain (SEMA4D), neuronal excitability (ANO3), amyloid plaques (RBFOX1), and cerebral small vessel disease (‐cSVD‐, HBEGF). For VaD, one locus near APOE reached GW significance along with 22 suggestive, including SPRY2, FOXA2, AJAP1, and PSMA3, previously associated with hypertension, diabetes, and neuron maintenance. In addition to the genetic overlap with neurodegenerative processes, genetic risk loci for ACD exhibited overlap with vascular risk factors (T2D, blood pressure, lipid levels) and MRI markers of cSVD. Adjusting for SNP effects from traits with similar polygenic backgrounds revealed risk loci implicated in regulating cholesterol metabolism and maintaining neuronal mRNA levels Conclusion We leveraged data from 19 cohorts and population‐based studies to assess the genetic contribution to ACD and VaD. GW suggestive signals included genes implicated in various brain activities. Bioinformatic parsing of the identified loci pointed to a genetic overlap of ACD with vascular risk factors and MRI markers of cSVD.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 5
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-09-22)
    Abstract: Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2553671-0
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  • 6
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 30, No. 2 ( 2020-03-21), p. 575-586
    Abstract: Exposures to life stressors accumulate across the lifespan, with possible impact on brain health. Little is known, however, about the mechanisms mediating age-related changes in brain structure. We use a lifespan sample of participants (n = 21 251; 4–97 years) to investigate the relationship between the thickness of cerebral cortex and the expression of the glucocorticoid- and the mineralocorticoid-receptor genes (NR3C1 and NR3C2, respectively), obtained from the Allen Human Brain Atlas. In all participants, cortical thickness correlated negatively with the expression of both NR3C1 and NR3C2 across 34 cortical regions. The magnitude of this correlation varied across the lifespan. From childhood through early adulthood, the profile similarity (between NR3C1/NR3C2 expression and thickness) increased with age. Conversely, both profile similarities decreased with age in late life. These variations do not reflect age-related changes in NR3C1 and NR3C2 expression, as observed in 5 databases of gene expression in the human cerebral cortex (502 donors). Based on the co-expression of NR3C1 (and NR3C2) with genes specific to neural cell types, we determine the potential involvement of microglia, astrocytes, and CA1 pyramidal cells in mediating the relationship between corticosteroid exposure and cortical thickness. Therefore, corticosteroids may influence brain structure to a variable degree throughout life.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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