Genetic analysis of amyotrophic lateral sclerosis identifies contributing pathways and cell types.
Sara Saez-AtienzarSara Bandres-CigaRebekah G LangstonJonggeol J KimShing Wan ChoiRegina Hertfelder Reynoldsnull nullnull nullYevgeniya AbramzonRamita DewanSarah AhmedJohn E LandersRuth ChiaMina RytenMark R CooksonMichael A NallsAdriano ChioBryan J TraynorPublished in: Science advances (2021)
Despite the considerable progress in unraveling the genetic causes of amyotrophic lateral sclerosis (ALS), we do not fully understand the molecular mechanisms underlying the disease. We analyzed genome-wide data involving 78,500 individuals using a polygenic risk score approach to identify the biological pathways and cell types involved in ALS. This data-driven approach identified multiple aspects of the biology underlying the disease that resolved into broader themes, namely, neuron projection morphogenesis, membrane trafficking, and signal transduction mediated by ribonucleotides. We also found that genomic risk in ALS maps consistently to GABAergic interneurons and oligodendrocytes, as confirmed in human single-nucleus RNA-seq data. Using two-sample Mendelian randomization, we nominated six differentially expressed genes (ATG16L2, ACSL5, MAP1LC3A, MAPKAPK3, PLXNB2, and SCFD1) within the significant pathways as relevant to ALS. We conclude that the disparate genetic etiologies of this fatal neurological disease converge on a smaller number of final common pathways and cell types.
Keyphrases
- amyotrophic lateral sclerosis
- genome wide
- single cell
- rna seq
- dna methylation
- cell therapy
- copy number
- electronic health record
- big data
- mesenchymal stem cells
- transcription factor
- single molecule
- simultaneous determination
- blood brain barrier
- deep learning
- induced pluripotent stem cells
- bone marrow
- artificial intelligence
- high density