Immune-related genetic enrichment in frontotemporal dementia: An analysis of genome-wide association studies

Background Converging evidence suggests that immune-mediated dysfunction plays an important role in the pathogenesis of frontotemporal dementia (FTD). Although genetic studies have shown that immune-associated loci are associated with increased FTD risk, a systematic investigation of genetic overlap between immune-mediated diseases and the spectrum of FTD-related disorders has not been performed. Methods and findings Using large genome-wide association studies (GWASs) (total n = 192,886 cases and controls) and recently developed tools to quantify genetic overlap/pleiotropy, we systematically identified single nucleotide polymorphisms (SNPs) jointly associated with FTD-related disorders—namely, FTD, corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), and amyotrophic lateral sclerosis (ALS)—and 1 or more immune-mediated diseases including Crohn disease, ulcerative colitis (UC), rheumatoid arthritis (RA), type 1 diabetes (T1D), celiac disease (CeD), and psoriasis. We found up to 270-fold genetic enrichment between FTD and RA, up to 160-fold genetic enrichment between FTD and UC, up to 180-fold genetic enrichment between FTD and T1D, and up to 175-fold genetic enrichment between FTD and CeD. In contrast, for CBD and PSP, only 1 of the 6 immune-mediated diseases produced genetic enrichment comparable to that seen for FTD, with up to 150-fold genetic enrichment between CBD and CeD and up to 180-fold enrichment between PSP and RA. Further, we found minimal enrichment between ALS and the immune-mediated diseases tested, with the highest levels of enrichment between ALS and RA (up to 20-fold). For FTD, at a conjunction false discovery rate < 0.05 and after excluding SNPs in linkage disequilibrium, we found that 8 of the 15 identified loci mapped to the human leukocyte antigen (HLA) region on Chromosome (Chr) 6. We also found novel candidate FTD susceptibility loci within LRRK2 (leucine rich repeat kinase 2), TBKBP1 (TBK1 binding protein 1), and PGBD5 (piggyBac transposable element derived 5). Functionally, we found that the expression of FTD–immune pleiotropic genes (particularly within the HLA region) is altered in postmortem brain tissue from patients with FTD and is enriched in microglia/macrophages compared to other central nervous system cell types. The main study limitation is that the results represent only clinically diagnosed individuals. Also, given the complex interconnectedness of the HLA region, we were not able to define the specific gene or genes on Chr 6 responsible for our pleiotropic signal. Conclusions We show immune-mediated genetic enrichment specifically in FTD, particularly within the HLA region. Our genetic results suggest that for a subset of patients, immune dysfunction may contribute to FTD risk. These findings have potential implications for clinical trials targeting immune dysfunction in patients with FTD.

[1]  E. Tolosa,et al.  Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Parkinson's disease: a case-control study , 2008, The Lancet Neurology.

[2]  S. Nataf,et al.  Common Neurodegeneration-Associated Proteins Are Physiologically Expressed by Human B Lymphocytes and Are Interconnected via the Inflammation/Autophagy-Related Proteins TRAF6 and SQSTM1 , 2019, Front. Immunol..

[3]  J. Trojanowski,et al.  Variations in the progranulin gene affect global gene expression in frontotemporal lobar degeneration. , 2008, Human molecular genetics.

[4]  A. Singleton,et al.  Genetic variability in the regulation of gene expression in ten regions of the human brain , 2014, Nature Neuroscience.

[5]  David Warde-Farley,et al.  GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function , 2008, Genome Biology.

[6]  M. Peters,et al.  Systematic identification of trans eQTLs as putative drivers of known disease associations , 2013, Nature Genetics.

[7]  R. Faber,et al.  Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. , 1999, Neurology.

[8]  Murray Grossman,et al.  Genome-wide association study of corticobasal degeneration identifies risk variants shared with progressive supranuclear palsy , 2015, Nature Communications.

[9]  M. Farrer,et al.  Lrrk2 G2019S substitution in frontotemporal lobar degeneration with ubiquitin-immunoreactive neuronal inclusions , 2007, Acta Neuropathologica.

[10]  Guixiang Xu,et al.  Reactive microglia drive tau pathology and contribute to the spreading of pathological tau in the brain. , 2015, Brain : a journal of neurology.

[11]  D. Geschwind,et al.  TDP-43 frontotemporal lobar degeneration and autoimmune disease , 2013, Journal of Neurology, Neurosurgery & Psychiatry.

[12]  P. Deloukas,et al.  Multiple common variants for celiac disease influencing immune gene expression , 2010, Nature Genetics.

[13]  D. Standaert,et al.  LRRK2 Inhibition Attenuates Microglial Inflammatory Responses , 2012, The Journal of Neuroscience.

[14]  D. Holtzman,et al.  Distinct Therapeutic Mechanisms of Tau Antibodies , 2015, The Journal of Biological Chemistry.

[15]  Babykumari P. Chitramuthu,et al.  Structure, Function, and Mechanism of Progranulin; the Brain and Beyond , 2011, Journal of Molecular Neuroscience.

[16]  Jing Cui,et al.  Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci , 2010, Nature Genetics.

[17]  Brittany N. Lasseigne,et al.  Exome sequencing in amyotrophic lateral sclerosis identifies risk genes and pathways , 2015, Science.

[18]  Murray Grossman,et al.  Quantitative neurohistological features of frontotemporal degeneration , 2000, Neurobiology of Aging.

[19]  G. Casari,et al.  A physical and functional map of the human TNF-alpha/NF-kappa B signal transduction pathway. , 2004, Nature cell biology.

[20]  K. Blennow,et al.  Increased intrathecal inflammatory activity in frontotemporal dementia: pathophysiological implications , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[21]  K. Josephs Frontotemporal dementia and related disorders: Deciphering the enigma , 2008, Annals of neurology.

[22]  P. Visscher,et al.  Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets , 2016, Nature Genetics.

[23]  Annelot M. Dekker,et al.  Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis , 2017 .

[24]  M. McCarthy,et al.  Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors. , 2013, American journal of human genetics.

[25]  P. Lantos,et al.  Office of Rare Diseases Neuropathologic Criteria for Corticobasal Degeneration , 2002, Journal of neuropathology and experimental neurology.

[26]  Frank W. Stearns One Hundred Years of Pleiotropy: A Retrospective , 2010, Genetics.

[27]  T. Wieland,et al.  Haploinsufficiency of TBK1 causes familial ALS and fronto-temporal dementia , 2015, Nature Neuroscience.

[28]  Tariq Ahmad,et al.  Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci , 2010, Nature Genetics.

[29]  Anders M. Dale,et al.  Shared genetic risk between corticobasal degeneration, progressive supranuclear palsy, and frontotemporal dementia , 2017, Acta Neuropathologica.

[30]  D. Geschwind,et al.  Increased prevalence of autoimmune disease within C9 and FTD/MND cohorts , 2016, Neurology: Neuroimmunology & Neuroinflammation.

[31]  O. Andreassen,et al.  Association Between Genetic Traits for Immune-Mediated Diseases and Alzheimer Disease. , 2016, JAMA neurology.

[32]  O. Andreassen,et al.  Genetic architecture of sporadic frontotemporal dementia and overlap with Alzheimer's and Parkinson's diseases , 2016, Journal of Neurology, Neurosurgery & Psychiatry.

[33]  A Smith,et al.  Genetic overlap between Alzheimer’s disease and Parkinson’s disease at the MAPT locus , 2015, Molecular Psychiatry.

[34]  Judy H. Cho,et al.  Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease , 2008, Nature Genetics.

[35]  D. Rujescu,et al.  Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate , 2013, PLoS genetics.

[36]  Kevin F. Bieniek,et al.  Whole-genome sequencing reveals important role for TBK1 and OPTN mutations in frontotemporal lobar degeneration without motor neuron disease , 2015, Acta Neuropathologica.

[37]  Andrew J. Lees,et al.  Identification of common variants influencing risk of the tauopathy Progressive Supranuclear Palsy , 2011, Nature Genetics.

[38]  Christian Gieger,et al.  Combined analysis of genome-wide association studies for Crohn disease and psoriasis identifies seven shared susceptibility loci. , 2012, American journal of human genetics.

[39]  Alexander Gerhard,et al.  Frontotemporal dementia and its subtypes: a genome-wide association study , 2014, The Lancet Neurology.

[40]  Alison M. Goate,et al.  Alzheimer’s Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci , 2016, PloS one.

[41]  C. Iadecola,et al.  Exaggerated inflammation, impaired host defense, and neuropathology in progranulin-deficient mice , 2010, The Journal of experimental medicine.

[42]  Knut Engedal,et al.  Frontotemporal Dementia , 2016, Journal of geriatric psychiatry and neurology.

[43]  C. Duijn,et al.  High prevalence of mutations in the microtubule-associated protein tau in a population study of frontotemporal dementia in the Netherlands. , 1999, American journal of human genetics.

[44]  T. Maniatis,et al.  An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex , 2014, The Journal of Neuroscience.

[45]  M. Carta,et al.  Epidemiology of early-onset dementia: a review of the literature , 2013, Clinical practice and epidemiology in mental health : CP & EMH.

[46]  Gary D. Bader,et al.  The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function , 2010, Nucleic Acids Res..

[47]  Michelle K. Cahill,et al.  Progranulin Deficiency Promotes Circuit-Specific Synaptic Pruning by Microglia via Complement Activation , 2016, Cell.

[48]  D. Clayton,et al.  Genome-wide association study and meta-analysis finds over 40 loci affect risk of type 1 diabetes , 2009, Nature Genetics.

[49]  R. Calabró,et al.  Multiple sclerosis and amyotrophic lateral sclerosis: a human leukocyte antigen challenge , 2017, Neurological Sciences.

[50]  Tariq Ahmad,et al.  Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47 , 2011, Nature Genetics.

[51]  D. Dickson,et al.  Microglial Activation Parallels System Degeneration in Progressive Supranuclear Palsy and Corticobasal Degeneration , 2001, Journal of neuropathology and experimental neurology.