@article {830,
	title = {Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism.},
	journal = {Cell},
	volume = {180},
	year = {2020},
	month = {2020 02 06},
	pages = {568-584.e23},
	abstract = {<p>We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n~= 35,584 total samples, 11,986 with ASD). Using an enhanced analytical framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 show higher frequencies in individuals ascertained to have ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes is enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.</p>},
	keywords = {Autistic Disorder, Case-Control Studies, Cell Lineage, Cerebral Cortex, Cohort Studies, Exome, Female, Gene Expression Regulation, Developmental, Gene Frequency, Genetic Predisposition to Disease, Humans, Male, Mutation, Missense, Neurobiology, Neurons, Phenotype, Sex Factors, Single-Cell Analysis, Whole Exome Sequencing},
	issn = {1097-4172},
	doi = {10.1016/j.cell.2019.12.036},
	author = {Satterstrom, F Kyle and Kosmicki, Jack A and Wang, Jiebiao and Breen, Michael S and De Rubeis, Silvia and An, Joon-Yong and Peng, Minshi and Collins, Ryan and Grove, Jakob and Klei, Lambertus and Stevens, Christine and Reichert, Jennifer and Mulhern, Maureen S and Artomov, Mykyta and Gerges, Sherif and Sheppard, Brooke and Xu, Xinyi and Bhaduri, Aparna and Norman, Utku and Brand, Harrison and Schwartz, Grace and Nguyen, Rachel and Guerrero, Elizabeth E and Dias, Caroline and Betancur, Catalina and Cook, Edwin H and Gallagher, Louise and Gill, Michael and Sutcliffe, James S and Thurm, Audrey and Zwick, Michael E and B{\o}rglum, Anders D and State, Matthew W and Cicek, A Ercument and Talkowski, Michael E and Cutler, David J and Devlin, Bernie and Sanders, Stephan J and Roeder, Kathryn and Daly, Mark J and Buxbaum, Joseph D}
}
@article {784,
	title = {The mutational constraint spectrum quantified from variation in 141,456 humans.},
	journal = {Nature},
	volume = {581},
	year = {2020},
	month = {2020 05},
	pages = {434-443},
	abstract = {<p>Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes. Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.</p>},
	keywords = {Adult, Brain, Cardiovascular Diseases, Cohort Studies, Databases, Genetic, Exome, Female, Genes, Essential, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Loss of Function Mutation, Male, Mutation Rate, Proprotein Convertase 9, Reproducibility of Results, RNA, Messenger, Whole Exome Sequencing, Whole Genome Sequencing},
	issn = {1476-4687},
	doi = {10.1038/s41586-020-2308-7},
	author = {Karczewski, Konrad J and Francioli, Laurent C and Tiao, Grace and Cummings, Beryl B and Alf{\"o}ldi, Jessica and Wang, Qingbo and Collins, Ryan L and Laricchia, Kristen M and Ganna, Andrea and Birnbaum, Daniel P and Gauthier, Laura D and Brand, Harrison and Solomonson, Matthew and Watts, Nicholas A and Rhodes, Daniel and Singer-Berk, Moriel and England, Eleina M and Seaby, Eleanor G and Kosmicki, Jack A and Walters, Raymond K and Tashman, Katherine and Farjoun, Yossi and Banks, Eric and Poterba, Timothy and Wang, Arcturus and Seed, Cotton and Whiffin, Nicola and Chong, Jessica X and Samocha, Kaitlin E and Pierce-Hoffman, Emma and Zappala, Zachary and O{\textquoteright}Donnell-Luria, Anne H and Minikel, Eric Vallabh and Weisburd, Ben and Lek, Monkol and Ware, James S and Vittal, Christopher and Armean, Irina M and Bergelson, Louis and Cibulskis, Kristian and Connolly, Kristen M and Covarrubias, Miguel and Donnelly, Stacey and Ferriera, Steven and Gabriel, Stacey and Gentry, Jeff and Gupta, Namrata and Jeandet, Thibault and Kaplan, Diane and Llanwarne, Christopher and Munshi, Ruchi and Novod, Sam and Petrillo, Nikelle and Roazen, David and Ruano-Rubio, Valentin and Saltzman, Andrea and Schleicher, Molly and Soto, Jose and Tibbetts, Kathleen and Tolonen, Charlotte and Wade, Gordon and Talkowski, Michael E and Neale, Benjamin M and Daly, Mark J and MacArthur, Daniel G}
}
