Browsing by Subject "Genetics of the nervous system"

Now showing 1 - 4 of 4
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    A genetically informed brain atlas for enhancing brain imaging genomics
    (Springer Nature, 2025-04-14) Bao, Jingxuan; Wen, Junhao; Chang, Changgee; Mu, Shizhuo; Chen, Jiong; Shivakumar, Manu; Cui, Yuhan; Erus, Guray; Yang, Zhijian; Yang, Shu; Wen, Zixuan; The Alzheimer’s Disease Neuroimaging Initiative; Zhao, Yize; Kim, Dokyoon; Duong-Tran, Duy; Saykin, Andrew J.; Zhao, Bingxin; Davatzikos, Christos; Long, Qi; Shen, Li; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Brain imaging genomics has manifested considerable potential in illuminating the genetic determinants of human brain structure and function. This has propelled us to develop the GIANT (Genetically Informed brAiN aTlas) that accounts for genetic and neuroanatomical variations simultaneously. Integrating voxel-wise heritability and spatial proximity, GIANT clusters brain voxels into genetically informed regions, while retaining fundamental anatomical knowledge. Compared to conventional (non-genetics) brain atlases, GIANT exhibits smaller intra-region variations and larger inter-region variations in terms of voxel-wise heritability. As a result, GIANT yields increased regional SNP heritability, enhanced polygenicity, and its polygenic risk score explains more brain volumetric variation than traditional neuroanatomical brain atlases. We provide extensive validation to GIANT and demonstrate its neuroanatomical validity, confirming its generalizability across populations with diverse genetic ancestries and various brain conditions. Furthermore, we present a comprehensive genetic architecture of the GIANT regions, covering their functional annotation at the molecular levels, their associations with other complex traits/diseases, and the genetic and phenotypic correlations among GIANT-defined imaging endophenotypes. In summary, GIANT constitutes a brain atlas that captures the complexity of genetic and neuroanatomical heterogeneity, thereby enhancing the discovery power and applicability of imaging genomics investigations in biomedical science.
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    An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease
    (Springer Nature, 2022) Jiang, Yuanbing; Zhou, Xiaopu; Wong, Hiu Yi; Ouyang, Li; Ip, Fanny C. F.; Chau, Vicky M. N.; Lau, Shun-Fat; Wu, Wei; Wong, Daniel Y. K.; Seo, Heukjin; Fu, Wing-Yu; Lai, Nicole C. H.; Chen, Yuewen; Chen, Yu; Tong, Estella P. S.; Alzheimer’s Disease Neuroimaging Initiative; Mok, Vincent C. T.; Kwok, Timothy C. Y.; Mok, Kin Y.; Shoai, Maryam; Lehallier, Benoit; Morán Losada, Patricia; O'Brien, Eleanor; Porter, Tenielle; Laws, Simon M.; Hardy, John; Wyss-Coray, Tony; Masters, Colin L.; Fu, Amy K. Y.; Ip, Nancy Y.; Radiology and Imaging Sciences, School of Medicine
    Changes in the levels of circulating proteins are associated with Alzheimer's disease (AD), whereas their pathogenic roles in AD are unclear. Here, we identified soluble ST2 (sST2), a decoy receptor of interleukin-33-ST2 signaling, as a new disease-causing factor in AD. Increased circulating sST2 level is associated with more severe pathological changes in female individuals with AD. Genome-wide association analysis and CRISPR-Cas9 genome editing identified rs1921622 , a genetic variant in an enhancer element of IL1RL1, which downregulates gene and protein levels of sST2. Mendelian randomization analysis using genetic variants, including rs1921622 , demonstrated that decreased sST2 levels lower AD risk and related endophenotypes in females carrying the Apolipoprotein E (APOE)-ε4 genotype; the association is stronger in Chinese than in European-descent populations. Human and mouse transcriptome and immunohistochemical studies showed that rs1921622 /sST2 regulates amyloid-beta (Aβ) pathology through the modulation of microglial activation and Aβ clearance. These findings demonstrate how sST2 level is modulated by a genetic variation and plays a disease-causing role in females with AD.
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    Deciphering distinct genetic risk factors for FTLD-TDP pathological subtypes via whole-genome sequencing
    (Springer Nature, 2025-04-25) Pottier, Cyril; Küçükali, Fahri; Baker, Matt; Batzler, Anthony; Jenkins, Gregory D.; van Blitterswijk, Marka; Vicente, Cristina T.; De Coster, Wouter; Wynants, Sarah; Van de Walle, Pieter; Ross, Owen A.; Murray, Melissa E.; Faura, Júlia; Haggarty, Stephen J.; van Rooij, Jeroen G. J.; Mol, Merel O.; Hsiung, Ging-Yuek R.; Graff, Caroline; Öijerstedt, Linn; Neumann, Manuela; Asmann, Yan; McDonnell, Shannon K.; Baheti, Saurabh; Josephs, Keith A.; Whitwell, Jennifer L.; Bieniek, Kevin F.; Forsberg, Leah; Heuer, Hilary; Lago, Argentina Lario; Geier, Ethan G.; Yokoyama, Jennifer S.; Oddi, Alexis P.; Flanagan, Margaret; Mao, Qinwen; Hodges, John R.; Kwok, John B.; Domoto-Reilly, Kimiko; Synofzik, Matthis; Wilke, Carlo; Onyike, Chiadi; Dickerson, Bradford C.; Evers, Bret M.; Dugger, Brittany N.; Munoz, David G.; Keith, Julia; Zinman, Lorne; Rogaeva, Ekaterina; Suh, EunRan; Gefen, Tamar; Geula, Changiz; Weintraub, Sandra; Diehl-Schmid, Janine; Farlow, Martin R.; Edbauer, Dieter; Woodruff, Bryan K.; Caselli, Richard J.; Donker Kaat, Laura L.; Huey, Edward D.; Reiman, Eric M.; Mead, Simon; King, Andrew; Roeber, Sigrun; Nana, Alissa L.; Ertekin-Taner, Nilufer; Knopman, David S.; Petersen, Ronald C.; Petrucelli, Leonard; Uitti, Ryan J.; Wszolek, Zbigniew K.; Ramos, Eliana Marisa; Grinberg, Lea T.; Gorno Tempini, Maria Luisa; Rosen, Howard J.; Spina, Salvatore; Piguet, Olivier; Grossman, Murray; Trojanowski, John Q.; Keene, C. Dirk; Jin, Lee-Way; Prudlo, Johannes; Geschwind, Daniel H.; Rissman, Robert A.; Cruchaga, Carlos; Ghetti, Bernardino; Halliday, Glenda M.; Beach, Thomas G.; Serrano, Geidy E.; Arzberger, Thomas; Herms, Jochen; Boxer, Adam L.; Honig, Lawrence S.; Vonsattel, Jean P.; Lopez, Oscar L.; Kofler, Julia; White, Charles L., III; Gearing, Marla; Glass, Jonathan; Rohrer, Jonathan D.; Irwin, David J.; Lee, Edward B.; Van Deerlin, Vivianna; Castellani, Rudolph; Mesulam, Marsel M.; Tartaglia, Maria C.; Finger, Elizabeth C.; Troakes, Claire; Al-Sarraj, Safa; Dalgard, Clifton L.; Miller, Bruce L.; Seelaar, Harro; Graff-Radford, Neill R.; Boeve, Bradley F.; Mackenzie, Ian Ra; van Swieten, John C.; Seeley, William W.; Sleegers, Kristel; Dickson, Dennis W.; Biernacka, Joanna M.; Rademakers, Rosa; Neurology, School of Medicine
    Frontotemporal lobar degeneration with neuronal inclusions of the TAR DNA-binding protein 43 (FTLD-TDP) is a fatal neurodegenerative disorder with only a limited number of risk loci identified. We report our comprehensive genome-wide association study as part of the International FTLD-TDP Whole-Genome Sequencing Consortium, including 985 patients and 3,153 controls compiled from 26 institutions/brain banks in North America, Europe and Australia, and meta-analysis with the Dementia-seq cohort. We confirm UNC13A as the strongest overall FTLD-TDP risk factor and identify TNIP1 as a novel FTLD-TDP risk factor. In subgroup analyzes, we further identify genome-wide significant loci specific to each of the three main FTLD-TDP pathological subtypes (A, B and C), as well as enrichment of risk loci in distinct tissues, brain regions, and neuronal subtypes, suggesting distinct disease aetiologies in each of the subtypes. Rare variant analysis confirmed TBK1 and identified C3AR1, SMG8, VIPR1, RBPJL, L3MBTL1 and ANO9, as novel subtype-specific FTLD-TDP risk genes, further highlighting the role of innate and adaptive immunity and notch signaling pathway in FTLD-TDP, with potential diagnostic and novel therapeutic implications.
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    Single-nucleus RNA-sequencing of autosomal dominant Alzheimer disease and risk variant carriers
    (Springer Nature, 2023-04-21) Brase, Logan; You, Shih-Feng; D'Oliveira Albanus, Ricardo; Del-Aguila, Jorge L.; Dai, Yaoyi; Novotny, Brenna C.; Soriano-Tarraga, Carolina; Dykstra, Taitea; Fernandez, Maria Victoria; Budde, John P.; Bergmann, Kristy; Morris, John C.; Bateman, Randall J.; Perrin, Richard J.; McDade, Eric; Xiong, Chengjie; Goate, Alison M.; Farlow, Martin; Dominantly Inherited Alzheimer Network (DIAN); Sutherland, Greg T.; Kipnis, Jonathan; Karch, Celeste M.; Benitez, Bruno A.; Harari, Oscar; Neurology, School of Medicine
    Genetic studies of Alzheimer disease (AD) have prioritized variants in genes related to the amyloid cascade, lipid metabolism, and neuroimmune modulation. However, the cell-specific effect of variants in these genes is not fully understood. Here, we perform single-nucleus RNA-sequencing (snRNA-seq) on nearly 300,000 nuclei from the parietal cortex of AD autosomal dominant (APP and PSEN1) and risk-modifying variant (APOE, TREM2 and MS4A) carriers. Within individual cell types, we capture genes commonly dysregulated across variant groups. However, specific transcriptional states are more prevalent within variant carriers. TREM2 oligodendrocytes show a dysregulated autophagy-lysosomal pathway, MS4A microglia have dysregulated complement cascade genes, and APOEε4 inhibitory neurons display signs of ferroptosis. All cell types have enriched states in autosomal dominant carriers. We leverage differential expression and single-nucleus ATAC-seq to map GWAS signals to effector cell types including the NCK2 signal to neurons in addition to the initially proposed microglia. Overall, our results provide insights into the transcriptional diversity resulting from AD genetic architecture and cellular heterogeneity. The data can be explored on the online browser (http://web.hararilab.org/SNARE/).