Xin He | Profiles RNS

overview

My lab uses computational approaches to study the genetics of human diseases. A primary focus of our research is to develop novel tools for mapping risk genes of complex diseases from genome wide association studies (GWAS) and sequencing studies. These tools are often been used in close collaboration with experimental biologists. A key feature of our strategy is the integration of multiple genomic datasets, such as transcriptome data, epigenetic data, and biological networks. This integrated approach could combine signals in different datasets to increase the power of studies, and shed light on the mechanism connecting genetic changes to phenotypes.

We are also interested in computational questions in regulatory genomics. How do cis-regulatory sequences interpret the information in cellular environments to drive spatial-temporal gene expression patterns? How do variations of regulatory sequences shape phenotypic variation and evolution? We believe a better understanding of these questions will also help the study of human genetics, specifically by improving our ability to interpret variations in non-coding sequences.

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Lab website

education and training

University of Illinois, Urbana-Champaign	PhD	09/2009	Computer Science
University of California, San Francisco	Postdoc	07/2011	Statistical genetics
Carnegie Mellon University, Pittsburgh	Postdoc	08/2014	Computational Biology

research activities and funding

R01AI175554 (HE, XIN)Dec 11, 2023 - Oct 31, 2028 NIH Genetic variation of N6-methyladenosine (m6A) RNA modification in immune cells and its contribution to human diseases Role: Principal Investigator

R01HL163523 (MOSKOWITZ, IVAN PAUL)Apr 1, 2022 - Mar 31, 2026 NIH Discovery and interrogation of genetic regulatory variation impacting Atrial Fibrillation risk Role: Co-Principal Investigator

R01HG010773 (HE, XIN)Sep 1, 2020 - Jun 30, 2024 NIH Refining mutation rates and measures of purifying selection with an application to understanding the impact of non-coding variation on neuropsychiatric diseases Role: Principal Investigator

R01MH116281 (DUAN, JUBAO)Apr 8, 2019 - Jan 31, 2025 NIH Integrating epigenomics with DNA breathing dynamics for human non-coding disease variants Role: Co-Investigator

R01MH110531 (HE, XIN)May 17, 2017 - May 31, 2024 NIH Integrative Approaches to Understanding Genetic Basis of Neuropsychiatric Diseases Role: Principal Investigator

selected publications

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.

Yang Y, Yang R, Kang B, Qian S, He X, Zhang X. Single-cell long-read sequencing in human cerebral organoids uncovers cell-type-specific and autism-associated exons. Cell Rep. 2023 11 28; 42(11):113335. PMID: 37889749; PMCID: PMC10842930.

Citations: 9 Fields:
Cel Cell Biology Mol Molecular Biology
Translation:Humans Cells
Zhou Y, Luo K, Liang L, Chen M, He X. A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening. Nat Methods. 2023 Nov; 20(11):1693-1703. PMID: 37770710; PMCID: PMC10630124.

Citations: 6 Fields:
Cli Clinical Laboratory Techniques
Translation:Humans Cells
Selewa A, Luo K, Wasney M, Smith L, Sun X, Tang C, Eckart H, Moskowitz IP, Basu A, He X, Pott S. Single-cell genomics improves the discovery of risk variants and genes of atrial fibrillation. Nat Commun. 2023 08 17; 14(1):4999. PMID: 37591828; PMCID: PMC10435551.

Citations: 7 Fields:
Bio Biology Sci Science
Translation:Humans Cells
Lai B, Qian S, Zhang H, Zhang S, Kozlova A, Duan J, Xu J, He X. Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning. PLoS Comput Biol. 2022 05; 18(5):e1010011. PMID: 35576194; PMCID: PMC9135341.

Citations: 5 Fields:
Com Computational Biology
Sakabe NJ, Aneas I, Knoblauch N, Sobreira DR, Clark N, Paz C, Horth C, Ziffra R, Kaur H, Liu X, Anderson R, Morrison J, Cheung VC, Grotegut C, Reddy TE, Jacobsson B, Hallman M, Teramo K, Murtha A, Kessler J, Grobman W, Zhang G, Muglia LJ, Rana S, Lynch VJ, Crawford GE, Ober C, He X, Nóbrega MA. Transcriptome and regulatory maps of decidua-derived stromal cells inform gene discovery in preterm birth. Sci Adv. 2020 12; 6(49). PMID: 33268355; PMCID: PMC7710387.

Citations: 21 Fields:
Sci Science
Translation:Humans Cells
Zhang S, Zhang H, Zhou Y, Qiao M, Zhao S, Kozlova A, Shi J, Sanders AR, Wang G, Luo K, Sengupta S, West S, Qian S, Streit M, Avramopoulos D, Cowan CA, Chen M, Pang ZP, Gejman PV, He X, Duan J. Allele-specific open chromatin in human iPSC neurons elucidates functional disease variants. Science. 2020 07 31; 369(6503):561-565. PMID: 32732423; PMCID: PMC7773145.

Citations: 54 Fields:
Sci Science
Translation:Humans Cells
Zhang Z, Luo K, Zou Z, Qiu M, Tian J, Sieh L, Shi H, Zou Y, Wang G, Morrison J, Zhu AC, Qiao M, Li Z, Stephens M, He X, He C. Genetic analyses support the contribution of mRNA N6-methyladenosine (m6A) modification to human disease heritability. Nat Genet. 2020 09; 52(9):939-949. PMID: 32601472; PMCID: PMC7483307.

Citations: 85 Fields:
Gen Genetics
Translation:Humans Cells
Morrison J, Knoblauch N, Marcus JH, Stephens M, He X. Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nat Genet. 2020 07; 52(7):740-747. PMID: 32451458; PMCID: PMC7343608.

Citations: 220 Fields:
Gen Genetics
Zhao S, Liu J, Nanga P, Liu Y, Cicek AE, Knoblauch N, He C, Stephens M, He X. Detailed modeling of positive selection improves detection of cancer driver genes. Nat Commun. 2019 07 30; 10(1):3399. PMID: 31363082; PMCID: PMC6667447.

Citations: 38 Fields:
Bio Biology Sci Science
Translation:Humans
Liu Y, Liang Y, Cicek AE, Li Z, Li J, Muhle RA, Krenzer M, Mei Y, Wang Y, Knoblauch N, Morrison J, Zhao S, Jiang Y, Geller E, Ionita-Laza I, Wu J, Xia K, Noonan JP, Sun ZS, He X. A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies. Am J Hum Genet. 2018 06 07; 102(6):1031-1047. PMID: 29754769; PMCID: PMC5992125.

Citations: 17 Fields:
Gen Genetics
Translation:Humans Cells
Sanders SJ, He X, Willsey AJ, Ercan-Sencicek AG, Samocha KE, Cicek AE, Murtha MT, Bal VH, Bishop SL, Dong S, Goldberg AP, Jinlu C, Keaney JF, Klei L, Mandell JD, Moreno-De-Luca D, Poultney CS, Robinson EB, Smith L, Solli-Nowlan T, Su MY, Teran NA, Walker MF, Werling DM, Beaudet AL, Cantor RM, Fombonne E, Geschwind DH, Grice DE, Lord C, Lowe JK, Mane SM, Martin DM, Walsh CA, Yu TW, Autism Sequencing Consortium, Ledbetter DH, Martin CL, Buxbaum JD, Daly MJ, Devlin B, Roeder K, State MW, Morrow EM, Talkowski ME, Sutcliffe JS, Cook EH. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci. Neuron. 2015 Sep 23; 87(6):1215-1233. PMID: 26402605; PMCID: PMC4624267.

Citations: 715 Fields:
Neu Neurology
Translation:Humans
De Rubeis S, He X, Goldberg AP, Poultney CS, Samocha K, Cicek AE, Kou Y, Liu L, Fromer M, Walker S, Singh T, Klei L, Kosmicki J, Shih-Chen F, Aleksic B, Biscaldi M, Bolton PF, Brownfeld JM, Cai J, Campbell NG, Carracedo A, Chahrour MH, Chiocchetti AG, Coon H, Crawford EL, Curran SR, Dawson G, Duketis E, Fernandez BA, Gallagher L, Geller E, Guter SJ, Hill RS, Ionita-Laza J, Jimenz Gonzalez P, Kilpinen H, Klauck SM, Kolevzon A, Lee I, Lei I, Lei J, Lin CF, Ma'ayan A, Marshall CR, McInnes AL, Neale B, Owen MJ, Ozaki N, Parellada M, Parr JR, Purcell S, Puura K, Rajagopalan D, Reichenberg A, Sabo A, Sachse M, Sanders SJ, Schafer C, Skuse D, Stevens C, Szatmari P, Tammimies K, Valladares O, Voran A, Li-San W, Weiss LA, Willsey AJ, Yu TW, Yuen RK, DDD Study, Homozygosity Mapping Collaborative for Autism, UK10K Consortium, Cook EH, Freitag CM, Gill M, Hultman CM, Lehner T, Palotie A, Schellenberg GD, Sklar P, State MW, Sutcliffe JS, Walsh CA, Scherer SW, Zwick ME, Barett JC, Cutler DJ, Roeder K, Devlin B, Daly MJ, Buxbaum JD, Lehtimäki T, Rehnström K, Schulte-Rüther M. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature. 2014 Nov 13; 515(7526):209-15. PMID: 25363760; PMCID: PMC4402723.

Citations: 1377 Fields:
Sci Science
Translation:Humans Cells