Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease

[1]  Samina Azad.  Roadmap , 2020, ACS Symposium Series.

[2]  Sonja W. Scholz,et al.  Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies , 2019, The Lancet Neurology.

[3]  Anorexia Nervosa Genetics Initiative.  Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa , 2019 .

[4]  Danielle Posthuma,et al.  Genetic mapping of cell type specificity for complex traits , 2019, Nature Communications.

[5]  Hunna J. Watson,et al.  Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa , 2019, Nature Genetics.

[6]  Sonja W. Scholz,et al.  Moving beyond neurons: the role of cell type-specific gene regulation in Parkinson’s disease heritability , 2019, npj Parkinson's Disease.

[7]  D. Geschwind,et al.  Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders , 2019, Cell.

[8]  Genetic,et al.  Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing , 2019, Nature Genetics.

[9]  Nick C Fox,et al.  Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing , 2019, Nature Genetics.

[10]  John P. Rice,et al.  Identification of common genetic risk variants for autism spectrum disorder , 2019, Nature Genetics.

[11]  S. Linnarsson,et al.  Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals , 2019, Molecular Psychiatry.

[12]  Timothy J. Hohman,et al.  Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk , 2019, Nature Genetics.

[13]  Alicia R. Martin,et al.  Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder , 2018, Nature Genetics.

[14]  Evan Z. Macosko,et al.  Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain , 2018, Cell.

[15]  R. Liddle.  Parkinson’s disease from the gut , 2018, Brain Research.

[16]  Jonathan P. Beauchamp,et al.  Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals , 2018, Nature Genetics.

[17]  S. Linnarsson,et al.  Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways , 2018, Nature Genetics.

[18]  Tyrone D. Cannon,et al.  Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence , 2018, Nature Genetics.

[19]  Lars E. Borm,et al.  Molecular Architecture of the Mouse Nervous System , 2018, Cell.

[20]  P. Visscher,et al.  Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestry , 2018, bioRxiv.

[21]  Jakob Grove,et al.  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection , 2018, Nature Genetics.

[22]  Li Li,et al.  Massively Parallel Single Nucleus Transcriptional Profiling Defines Spinal Cord Neurons and Their Activity during Behavior , 2018, Cell reports.

[23]  Warren W. Kretzschmar,et al.  Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression , 2017, Nature Genetics.

[24]  Andrew D. Johnson,et al.  Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes , 2018, Nature Genetics.

[25]  P. Kharchenko,et al.  Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain , 2017, Nature Biotechnology.

[26]  David A. Knowles,et al.  Inferring relevant cell types for complex traits using single-cell gene expression , 2017, bioRxiv.

[27]  J. McLaurin,et al.  The role of the immune system in Alzheimer disease: Etiology and treatment , 2017, Ageing Research Reviews.

[28]  A. Mocroft,et al.  Cardiovascular disease (CVD) and chronic kidney disease (CKD) event rates in HIV-positive persons at high predicted CVD and CKD risk: A prospective analysis of the D:A:D observational study , 2017, PLoS medicine.

[29]  Nicola J. Rinaldi,et al.  Genetic effects on gene expression across human tissues , 2017, Nature.

[30]  Christian Gieger,et al.  Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis , 2017, PLoS Medicine.

[31]  Aviv Regev,et al.  Massively-parallel single nucleus RNA-seq with DroNc-seq , 2017, Nature Methods.

[32]  Jakob Grove,et al.  Genome-wide association study identifies 30 Loci Associated with Bipolar Disorder , 2017, bioRxiv.

[33]  S. Linnarsson,et al.  A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA , 2017, Scientific Reports.

[34]  J. Danesh,et al.  Association analyses based on false discovery rate implicate new loci for coronary artery disease , 2017, Nature Genetics.

[35]  I. Amit,et al.  A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease , 2017, Cell.

[36]  Gerome Breen,et al.  Genetic identification of brain cell types underlying schizophrenia , 2017, Nature Genetics.

[37]  Tanya M. Teslovich,et al.  An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans , 2017, Diabetes.

[38]  Evan Z. Macosko,et al.  Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types , 2017, Nature Genetics.

[39]  Thomas E. Nichols,et al.  Novel genetic loci associated with hippocampal volume , 2017, Nature Communications.

[40]  T. Matsushima,et al.  Striatal and Tegmental Neurons Code Critical Signals for Temporal-Difference Learning of State Value in Domestic Chicks , 2016, Front. Neurosci..

[41]  Benjamin S Aribisala,et al.  Novel genetic loci underlying human intracranial volume identified through genome-wide association , 2016, Nature Neuroscience.

[42]  N. Eriksson,et al.  Corrigendum: Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine , 2016, Nature Genetics.

[43]  O. Delaneau,et al.  Estimating the causal tissues for complex traits and diseases , 2016, Nature Genetics.

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

[45]  Sarah A. Gagliano,et al.  Genomics implicates adaptive and innate immunity in Alzheimer's and Parkinson's diseases , 2016, bioRxiv.

[46]  M. Ronaghi,et al.  Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain , 2016, Science.

[47]  David C. Wilson,et al.  Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease , 2016, Nature Genetics.

[48]  S. Hamilton-Dutoit,et al.  Pathological α‐synuclein in gastrointestinal tissues from prodromal Parkinson disease patients , 2016, Annals of neurology.

[49]  Nick C Fox,et al.  Analysis of shared heritability in common disorders of the brain , 2018, Science.

[50]  Kirill Peskov,et al.  Agent Based Modeling of Human Gut Microbiome Interactions and Perturbations , 2016, PloS one.

[51]  Seth G. N. Grant,et al.  Identification of Vulnerable Cell Types in Major Brain Disorders Using Single Cell Transcriptomes and Expression Weighted Cell Type Enrichment , 2016, Front. Neurosci..

[52]  Michael J. Purcaro,et al.  The PsychENCODE project , 2015, Nature Neuroscience.

[53]  E. Horváth-Puhó,et al.  Vagotomy and subsequent risk of Parkinson's disease , 2015, Annals of neurology.

[54]  Gabor T. Marth,et al.  A global reference for human genetic variation , 2015, Nature.

[55]  Yakir A Reshef,et al.  Partitioning heritability by functional annotation using genome-wide association summary statistics , 2015, Nature Genetics.

[56]  P. Heutink,et al.  Evidence for Immune Response, Axonal Dysfunction and Reduced Endocytosis in the Substantia Nigra in Early Stage Parkinson’s Disease , 2015, PloS one.

[57]  M. Daly,et al.  An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.

[58]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[59]  Georg Auburger,et al.  The Brainstem Pathologies of Parkinson's Disease and Dementia with Lewy Bodies , 2015, Brain pathology.

[60]  Michael Q. Zhang,et al.  Integrative analysis of 111 reference human epigenomes , 2015, Nature.

[61]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[62]  Chuong B. Do,et al.  Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease , 2014, Nature Genetics.

[63]  Andrew D. Johnson,et al.  Parent-of-origin specific allelic associations among 106 genomic loci for age at menarche , 2014, Nature.

[64]  Sandhya Ramrakha,et al.  The p Factor , 2014, Clinical psychological science : a journal of the Association for Psychological Science.

[65]  D. Surmeier,et al.  Neuronal vulnerability, pathogenesis, and Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.

[66]  Shane J. Neph,et al.  Systematic Localization of Common Disease-Associated Variation in Regulatory DNA , 2012, Science.

[67]  Erin M. Schuman,et al.  The Local Transcriptome in the Synaptic Neuropil Revealed by Deep Sequencing and High-Resolution Imaging , 2012, Neuron.

[68]  S. Bruley des Varannes,et al.  Parkinson disease , 2011, Neurology.

[69]  Abdelhamid Benazzouz,et al.  Noradrenaline and Parkinson's Disease , 2011, Front. Syst. Neurosci..

[70]  Yun Li,et al.  METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[71]  E. Birney,et al.  Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt , 2009, Nature Protocols.

[72]  J. Rinne,et al.  Loss of cholinergic neurons in the pedunculopontine nucleus in Parkinson's disease is related to disability of the patients. , 2008, Parkinsonism & related disorders.

[73]  P Sandroni,et al.  Second consensus statement on the diagnosis of multiple system atrophy , 2008, Neurology.

[74]  D. Maraganore,et al.  A Genomic Pathway Approach to a Complex Disease: Axon Guidance and Parkinson Disease , 2007, PLoS genetics.

[75]  L. Moran,et al.  Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson’s disease , 2006, Neurogenetics.

[76]  Benjamin M. Bolstad,et al.  affy - analysis of Affymetrix GeneChip data at the probe level , 2004, Bioinform..

[77]  H. Braak,et al.  Idiopathic Parkinson's disease: possible routes by which vulnerable neuronal types may be subject to neuroinvasion by an unknown pathogen , 2003, Journal of Neural Transmission.

[78]  H. Braak,et al.  Staging of brain pathology related to sporadic Parkinson’s disease , 2003, Neurobiology of Aging.

[79]  S. Hayashi,et al.  NACP/α-synuclein-positive filamentous inclusions in astrocytes and oligodendrocytes of Parkinson’s disease brains , 2000, Acta Neuropathologica.

[80]  R. Kronmal,et al.  Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group. , 1999, The New England journal of medicine.

[81]  R. Pfeiffer,et al.  Dopaminergic defect of enteric nervous system in Parkinson's disease patients with chronic constipation , 1995, The Lancet.

[82]  T. Joh,et al.  Neuropathology of immunohistochemically identified brainstem neurons in Parkinson's disease , 1990, Annals of neurology.

[83]  J. Volkmann,et al.  Parkinson disease , 2017, Nature Reviews Disease Primers.

[84]  Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine , 2017 .

[85]  J. Murabito,et al.  Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair , 2016 .

[86]  D. Croteau-Chonka,et al.  New genetic loci link adipose and insulin biology to body fat distribution , 2015 .

[87]  M. Tansey,et al.  The role of innate and adaptive immunity in Parkinson's disease. , 2013, Journal of Parkinson's disease.

[88]  Avner Schlessinger,et al.  ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI , 2012 .

[89]  Eary,et al.  CAROTID-ARTERY INTIMA AND MEDIA THICKNESS AS A RISK FACTOR FOR MYOCARDIAL INFARCTION AND STROKE IN OLDER ADULTS , 2000 .

[90]  S. Takeda,et al.  Lewy bodies in the enteric nervous system in Parkinson's disease. , 1989, Archives of histology and cytology.

[91]  Joshua Lederberg,et al.  Children's Hospital of Philadelphia. , 1975, The Australasian nurses journal.