|Synaptic, transcriptional and chromatin genes disrupted in autism|
S De Rubeis, X He, AP Goldberg, CS Poultney, K Samocha, AE Cicek, ...
Nature 515 (7526), 209-215, 2014
|Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci|
SJ Sanders, X He, AJ Willsey, AG Ercan-Sencicek, KE Samocha, ...
Neuron 87 (6), 1215-1233, 2015
|Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism|
AJ Willsey, SJ Sanders, M Li, S Dong, AT Tebbenkamp, RA Muhle, ...
Cell 155 (5), 997-1007, 2013
|Integrated Model of De Novo and Inherited Genetic Variants Yields Greater Power to Identify Risk Genes|
X He, SJ Sanders, L Liu, S De Rubeis, ET Lim, JS Sutcliffe, ...
PLoS genetics 9 (8), e1003671, 2013
|Sherlock: Detecting Gene-Disease Associations by Matching Patterns of Expression QTL and GWAS|
X He, CK Fuller, Y Song, Q Meng, B Zhang, X Yang, H Li
The American Journal of Human Genetics 92 (5), 667-680, 2013
|Genes with de novo mutations are shared by four neuropsychiatric disorders discovered from NPdenovo database|
J Li, T Cai, Y Jiang, H Chen, X He, C Chen, X Li, Q Shao, X Ran, Z Li, ...
Molecular psychiatry, 2015
|An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder|
DM Werling, H Brand, JY An, MR Stone, L Zhu, JT Glessner, RL Collins, ...
Nat Genet 50 (5), 727-736, 2018
|Thermodynamics-based models of transcriptional regulation by enhancers: the roles of synergistic activation, cooperative binding and short-range repression|
X He, MAH Samee, C Blatti, S Sinha
PLoS computational biology 6 (9), e1000935, 2010
|Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics|
J Morrison, N Knoblauch, JH Marcus, M Stephens, X He
Nature Genetics, 1-7, 2020
|DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics|
L Liu, J Lei, SJ Sanders, AJ Willsey, Y Kou, AE Cicek, L Klei, C Lu, X He, ...
Mol Autism 5, 22, 2014
|Evolution of regulatory sequences in 12 Drosophila species|
J Kim, X He, S Sinha
PLoS genetics 5 (1), e1000330, 2009
|Synbiotic-driven improvement of metabolic disturbances is associated with changes in the gut microbiome in diet-induced obese mice|
X Ke, A Walker, SB Haange, I Lagkouvardos, Y Liu, P Schmitt-Kopplin, ...
Molecular metabolism, 2019
|Large-scale analysis of transcriptional cis-regulatory modules reveals both common features and distinct subclasses|
L Li, Q Zhu, X He, S Sinha, MS Halfon
Genome Biol 8 (6), R101, 2007
|Identifying conserved gene clusters in the presence of homology families|
X He, MH Goldwasser
Journal of computational biology 12 (6), 638-656, 2005
|Genetic analyses support the contribution of mRNA N 6-methyladenosine (m 6 A) modification to human disease heritability|
Z Zhang, K Luo, Z Zou, M Qiu, J Tian, L Sieh, H Shi, Y Zou, G Wang, ...
Nature Genetics 52 (9), 939-949, 2020
|A biophysical model for analysis of transcription factor interaction and binding site arrangement from genome-wide binding data|
X He, CC Chen, F Hong, F Fang, S Sinha, HH Ng, S Zhong
PLoS One 4 (12), e8155, 2009
|Evolutionary origins of transcription factor binding site clusters|
X He, TSPC Duque, S Sinha
Molecular biology and evolution 29 (3), 1059-1070, 2012
|Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders|
J Li, L Wang, H Guo, L Shi, K Zhang, M Tang, S Hu, S Dong, Y Liu, ...
Molecular psychiatry 22 (9), 1282-1290, 2017
|Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders|
HT Nguyen, J Bryois, A Kim, A Dobbyn, LM Huckins, ...
Genome medicine 9 (1), 114, 2017
|Alignment and prediction of cis-regulatory modules based on a probabilistic model of evolution|
X He, XU Ling, S Sinha
PLoS computational biology 5 (3), e1000299, 2009