D
Dennis P. Wall
Researcher at Stanford University
Publications - 187
Citations - 8592
Dennis P. Wall is an academic researcher from Stanford University. The author has contributed to research in topics: Autism & Autism spectrum disorder. The author has an hindex of 43, co-authored 158 publications receiving 6789 citations. Previous affiliations of Dennis P. Wall include Harvard University & Beth Israel Deaconess Medical Center.
Papers
More filters
Journal ArticleDOI
A framework for the interpretation of de novo mutation in human disease
Kaitlin E. Samocha,Elise B. Robinson,Stephen Sanders,Christine Stevens,Aniko Sabo,Lauren M. McGrath,Jack A. Kosmicki,Karola Rehnström,Swapan Mallick,Andrew Kirby,Dennis P. Wall,Daniel G. MacArthur,Daniel G. MacArthur,Stacey Gabriel,Mark A. DePristo,Shaun Purcell,Shaun Purcell,Shaun Purcell,Aarno Palotie,Eric Boerwinkle,Joseph D. Buxbaum,Edwin H. Cook,Richard A. Gibbs,Gerard D. Schellenberg,James S. Sutcliffe,Bernie Devlin,Kathryn Roeder,Benjamin M. Neale,Benjamin M. Neale,Mark J. Daly,Mark J. Daly +30 more
TL;DR: This model is used to identify ∼1,000 genes that are significantly lacking in functional coding variation in non-ASD samples and are enriched for de novo loss-of-function mutations identified in ASD cases, suggesting that the role of de noVO mutations in ASDs might reside in fundamental neurodevelopmental processes.
Journal ArticleDOI
The role of selection in the evolution of human mitochondrial genomes.
Toomas Kivisild,Peidong Shen,Dennis P. Wall,Bao H. Do,Raphael K. Sung,Karen Davis,Giuseppe Passarino,Peter A. Underhill,Curt Scharfe,Antonio Torroni,Rosaria Scozzari,David Modiano,Alfredo Coppa,Peter de Knijff,Marcus W. Feldman,Luigi Luca Cavalli-Sforza,Peter J. Oefner +16 more
TL;DR: The surplus of nonsynonymous mutations is a general feature of the young branches of the phylogenetic tree, affecting also those that are found only in Africa, and a new calibration method is introduced to estimate the coalescent times of mtDNA haplogroups.
Journal ArticleDOI
Functional genomic analysis of the rates of protein evolution
Dennis P. Wall,Aaron E. Hirsh,Hunter B. Fraser,Jochen Kumm,Guri Giaever,Michael B. Eisen,Marcus W. Feldman +6 more
TL;DR: This work estimated the evolutionary rates of >3,000 proteins in four species of the yeast genus Saccharomyces and investigated their relationship with levels of expression and protein dispensability, revealing independent, significant effects on the rate of protein evolution.
Journal ArticleDOI
Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples
Jack A. Kosmicki,Kaitlin E. Samocha,Daniel P. Howrigan,Daniel P. Howrigan,Stephen Sanders,Kamil Slowikowski,Monkol Lek,Monkol Lek,Konrad J. Karczewski,Konrad J. Karczewski,David J. Cutler,Bernie Devlin,Kathryn Roeder,Joseph D. Buxbaum,Benjamin M. Neale,Benjamin M. Neale,Daniel G. MacArthur,Daniel G. MacArthur,Dennis P. Wall,Elise B. Robinson,Elise B. Robinson,Mark J. Daly,Mark J. Daly +22 more
TL;DR: Using aggregated data from 9,246 families with autism spectrum disorder, intellectual disability, or developmental delay, it is found that ∼1/3 of de novo variants are independently present as standing variation in the Exome Aggregation Consortium's cohort of 60,706 adults, and these deno variants do not contribute to neurodevelopmental risk.
Journal ArticleDOI
Detecting putative orthologs.
TL;DR: The method-reciprocal smallest distance algorithm (rsd)-relies on global sequence alignment and maximum likelihood estimation of evolutionary distances to detect orthologs between two genomes.