ExpMR: cell type & IDPs & DBs

Q1：Where to download the GWAS summary stat files of IDPs and DBs that were used in this study?

(1) For DBs, we leveraged public GWAS summary stat files from 26 different disorders and behavioral-cognitive phenotypes

Behavioral-cognitive phenotypes

  1. Automobile speeding propensity (ASP): 404,291 individuals [1]
  2. Childhood intelligence (CI): 12,441 individuals [2]
  3. Drinks per week (DPW): 941,280 individuals [3]
  4. Educational attainment (EA): 766,345 individuals [4]
  5. General risk tolerance (GRT): 466,571 individuals [1]
  6. Intelligence (INT): 269,867 individuals [5]
  7. Neuroticism (NEU): 390,278 individuals [6]
  8. Smoking cessation (SC): 547,219 individuals [3]

Neurological disorders

  1. Alzheimer's disease (AD): 71,880 cases and 383,378 controls [7]
  2. Amyotrophic lateral sclerosis (ALS): 20,806 cases and 59,804 controls [8]
  3. Epilepsy (EPI): 15,212 cases and 29,677 controls [9]
  4. Intracerebral hemorrhage (ICH): 1,545 cases and 1,481 controls [10]
  5. Insomnia (INS): 109,548 cases and 277,440 controls [11]
  6. Ischemic stroke (IS): 67,162 cases and 454,450 controls [12]
  7. Multiple sclerosis (MS): 47,429 cases and 68,374 controls [13]
  8. Parkinson's disease (PD): 33,674 cases and 449,056 controls [14]

Psychiatric disorders

  1. Attention-deficit/hyperactivity disorder (ADHD): 20,183 cases and 35,191 controls [15]
  2. Anxiety disorder (ANX): 25,453 cases and 58,113 controls [16]
  3. Autism spectrum disorder (ASD): 18,381 cases and 27,969 controls [17]
  4. Alcohol use disorder (AUD): 11,569 cases and 34,999 controls [18]
  5. Bipolar disorder (BIP): 41,917 cases and 371,549 controls [19]
  6. Major depressive disorder (MDD): 135,458 cases and 344,901 controls [20]
  7. Obsessive-compulsive disorder (OCD): 2,688 cases and 7,037 controls [21]
  8. Post-traumatic stress disorder (PTSD): 9,831 cases and 19,225 controls [22]
  9. Schizophrenia (SCZ): 76,755 cases and 243,649 controls [23]
  10. Tourette syndrome (TS): 4,819 cases and 9,488 controls [24]

(2) For IDPs, you can get access to the GWAS summary stat files from the supplementary file.

Q2：Have more Questions？

If you have any questions about our website or the repository's results, or if you have suggestions for enhancements, please email yanganyi_angie@163.com

If you would like to cooperate with us or conduct academic exchanges, please email naturescarl@gmail.com

References

  1. Karlsson Linnér, R., Biroli, P., Kong, E., et al. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet, 2019. 51(2): 245-257.
  2. Benyamin, B., Pourcain, B., Davis, O.S., et al. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry, 2014. 19(2): 253-258.
  3. Liu, M., Jiang, Y., Wedow, R., et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet, 2019. 51(2): 237-244.
  4. Lee, J.J., Wedow, R., Okbay, A., et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat Genet, 2018. 50(8): 1112-1121.
  5. Savage, J.E., Jansen, P.R., Stringer, S., et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat Genet, 2018. 50(7): 912-919.
  6. Nagel, M., Jansen, P.R., Stringer, S., et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat Genet, 2018. 50(7): 920-927.
  7. Jansen, I.E., Savage, J.E., Watanabe, K., et al. Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk. Nat Genet, 2019. 51(3): 404-413.
  8. Nicolas, A., Kenna, K.P., Renton, A.E., et al. Genome-wide Analyses Identify KIF5A as a Novel ALS Gene. Neuron, 2018. 97(6): 1267-1288.
  9. Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies. Nat Commun, 2018. 9(1): 5269.
  10. Woo, D., Falcone, G.J., Devan, W.J., et al. Meta-analysis of genome-wide association studies identifies 1q22 as a susceptibility locus for intracerebral hemorrhage. Am J Hum Genet, 2014. 94(4): 511-521.
  11. Watanabe, K., Jansen, P.R., Savage, J.E., et al. Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nat Genet, 2022. 54(8): 1125-1132.
  12. Malik, R., Chauhan, G., Traylor, M., et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat Genet, 2018. 50(4): 524-537.
  13. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science, 2019. 365(6460).
  14. Nalls, M.A., Blauwendraat, C., Vallerga, C.L., et al. Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies. Lancet Neurol, 2019. 18(12): 1091-1102.
  15. Demontis, D., Walters, R.K., Martin, J., et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat Genet, 2019. 51(1): 63-75.
  16. Purves, K.L., Coleman, J.R.I., Meier, S.M., et al. A major role for common genetic variation in anxiety disorders. Mol Psychiatry, 2020. 25(12): 3292-3303.
  17. Grove, J., Ripke, S., Als, T.D., et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet, 2019. 51(3): 431-444.
  18. Walters, R.K., Polimanti, R., Johnson, E.C., et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci, 2018. 21(12): 1656-1669.
  19. Mullins, N., Forstner, A.J., O'Connell, K.S., et al. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nat Genet, 2021. 53(6): 817-829.
  20. Wray, N.R., Ripke, S., Mattheisen, M., et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet, 2018. 50(5): 668-681.
  21. Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis. Mol Psychiatry, 2018. 23(5): 1181-1188.
  22. Meier, S.M., Trontti, K., Purves, K.L., et al. Genetic Variants Associated With Anxiety and Stress-Related Disorders: A Genome-Wide Association Study and Mouse-Model Study. JAMA Psychiatry, 2019. 76(9): 924-932.
  23. Trubetskoy, V., Pardiñas, A.F., Qi, T., et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 2022. 604(7906): 502-508.
  24. Yu, D., Sul, J.H., Tsetsos, F., et al. Interrogating the Genetic Determinants of Tourette's Syndrome and Other Tic Disorders Through Genome-Wide Association Studies. Am J Psychiatry, 2019. 176(3): 217-227.