Browsing by Author "Peng, M."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism
    (Elsevier, 2020-02-06) Satterstrom, F. K.; Kosmicki, J. A.; Wang, J.; Breen, M. S.; De Rubeis, S.; An, J. - Y.; Peng, M.; Collins, R.; Grove, J.; Klei, L.; Stevens, C.; Reichert, J.; Mulhern, M. S.; Artomov, M.; Gerges, S.; Sheppard, B.; Xu, X.; Bhaduri, A.; Norman, Utku; Brand, H.; Schwartz, G.; Nguyen, R.; Guerrero, E. E.; Dias, C.; Autism Sequencing Consortium; iPSYCH-Broad Consortium; Betancur, C; Cook, E; Gallagher, L; Gill, M; Sutcliffe, J; Thurm, A; Zwick, M; State, M; Çicek, A. Ercüment; Talkowski, M; Cutler, D; Devlin, B.; Sanders, S; Roeder, K.; Daly, M; Buxbaum, J.
    We present the largest exome sequencing study ofautism spectrum disorder (ASD) to date (n = 35,584total samples, 11,986 with ASD). Using an enhancedanalytical framework to integratedenovoand case-control rare variation, we identify 102 risk genes at afalse discovery rate of 0.1 or less. Of these genes, 49show higher frequencies of disruptivedenovovari-ants in individuals ascertained to have severe neuro-developmental delay, whereas 53 show higher fre-quencies in individuals ascertained to have ASD;comparing ASD cases with mutations in thesegroups reveals phenotypic differences. Expressedearly in brain development, most risk genes haveroles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelop-mental and neurophysiological changes), and 13 fallwithin loci recurrently hit by copy number variants.In cells from the human cortex, expression of riskgenes is enriched in excitatory and inhibitoryneuronal lineages, consistent with multiple paths toan excitatory-inhibitory imbalance underlying ASD.
  • Thumbnail Image
    ItemOpen Access
    Whole-genome and RNA sequencing reveal variation and transcriptomic coordination in the developing human prefrontal cortex
    (Elsevier, 2020-04) Werling, D. M.; Pochareddy, S.; Choi, J.; An, J.-Y.; Sheppard, B.; Peng, M.; Li, Z.; Dastmalchi, C.; Santpere, G.; Sousa, A. M. M.; Tebbenkamp, A. T. N.; Kaur, N.; Gulden, F. O.; Breen, M. S.; Liang, L.; Gilson, M. C.; Zhao, X.; Dong, S.; Klei, L.; Çiçek, A. Ercüment; Buxbaum, J. D.; Adle-Biassette, H.; Thomas, J.-L.; Aldinger, K. A.; O’Day, D. R.; Glass, I. A.; Zaitlen, N. A.; Talkowski, M. E.; Roeder, K.; State, M. W.; Devlin, B.; Sanders, S. J.; Sestan, N.
    Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism. To investigate these relationships, we present BrainVar, a unique resource of paired whole-genome and bulk tissue RNA sequencing from the dorsolateral prefrontal cortex of 176 individuals across prenatal and postnatal development. Here we identify common variants that alter gene expression (expression quantitative trait loci [eQTLs]) constantly across development or predominantly during prenatal or postnatal stages. Both “constant” and “temporal-predominant” eQTLs are enriched for loci associated with neuropsychiatric traits and disorders and colocalize with specific variants. Expression levels of more than 12,000 genes rise or fall in a concerted late-fetal transition, with the transitional genes enriched for cell-type-specific genes and neuropsychiatric risk loci, underscoring the importance of cataloging developmental trajectories in understanding cortical physiology and pathology.