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Gao Wang - Publications

Affiliations: 
University of Chicago, Chicago, IL 
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34 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Fujita M, Gao Z, Zeng L, McCabe C, White CC, Ng B, Green GS, Rozenblatt-Rosen O, Phillips D, Amir-Zilberstein L, Lee H, Pearse RV, Khan A, Vardarajan BN, Kiryluk K, ... ... Wang G, et al. Cell subtype-specific effects of genetic variation in the Alzheimer's disease brain. Nature Genetics. PMID 38514782 DOI: 10.1038/s41588-024-01685-y  0.343
2023 Wang G, Ott J. Digenic Analysis Finds Highly Interactive Genetic Variants Underlying Polygenic Traits. Medical Research Archives. 11. PMID 38882238 DOI: 10.18103/mra.v11i10.4604  0.342
2023 Ding R, Zou X, Qin Y, Gong L, Chen H, Ma X, Guang S, Yu C, Wang G, Li L. xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs. Briefings in Bioinformatics. 25. PMID 38058186 DOI: 10.1093/bib/bbad440  0.333
2023 Zou Y, Carbonetto P, Xie D, Wang G, Stephens M. Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model. Biorxiv : the Preprint Server For Biology. PMID 37425935 DOI: 10.1101/2023.04.14.536893  0.579
2023 Morgante F, Carbonetto P, Wang G, Zou Y, Sarkar A, Stephens M. A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. Plos Genetics. 19: e1010539. PMID 37418505 DOI: 10.1371/journal.pgen.1010539  0.534
2023 Auer PL, Wang G, Li G, DeWan AT, Leal SM. Comparison of multiple imputation and other methods for the analysis of imputed genotypes. Bmc Genomics. 24: 303. PMID 37277705 DOI: 10.1186/s12864-023-09415-0  0.306
2022 Zou X, Ding R, Chen W, Wang G, Cheng S, Wang Q, Li W, Li L. Using population-scale transcriptomic and genomic data to map 3' UTR alternative polyadenylation quantitative trait loci. Star Protocols. 3: 101566. PMID 35874472 DOI: 10.1016/j.xpro.2022.101566  0.405
2022 Zou Y, Carbonetto P, Wang G, Stephens M. Fine-mapping from summary data with the "Sum of Single Effects" model. Plos Genetics. 18: e1010299. PMID 35853082 DOI: 10.1371/journal.pgen.1010299  0.527
2022 Olayinka OA, O'Neill NK, Farrer LA, Wang G, Zhang X. Molecular Quantitative Trait Locus Mapping in Human Complex Diseases. Current Protocols. 2: e426. PMID 35587224 DOI: 10.1002/cpz1.426  0.408
2021 Li L, Huang KL, Gao Y, Cui Y, Wang G, Elrod ND, Li Y, Chen YE, Ji P, Peng F, Russell WK, Wagner EJ, Li W. An atlas of alternative polyadenylation quantitative trait loci contributing to complex trait and disease heritability. Nature Genetics. PMID 33986536 DOI: 10.1038/s41588-021-00864-5  0.468
2021 Barbeira AN, Bonazzola R, Gamazon ER, Liang Y, Park Y, Kim-Hellmuth S, Wang G, Jiang Z, Zhou D, Hormozdiari F, Liu B, Rao A, Hamel AR, Pividori MD, Aguet F, et al. Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. Genome Biology. 22: 49. PMID 33499903 DOI: 10.1186/s13059-020-02252-4  0.632
2020 Wang G, Sarkar A, Carbonetto P, Stephens M. A simple new approach to variable selection in regression, with application to genetic fine mapping. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 82: 1273-1300. PMID 37220626 DOI: 10.1111/rssb.12388  0.508
2020 Barbeira AN, Melia OJ, Liang Y, Bonazzola R, Wang G, Wheeler HE, Aguet F, Ardlie KG, Wen X, Im HK. Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identification. Genetic Epidemiology. PMID 32964524 DOI: 10.1002/gepi.22346  0.563
2020 Xie Z, Sun C, Zhang S, Liu Y, Yu M, Zheng Y, Meng L, Acharya A, Cornejo-Sanchez DM, Wang G, Zhang W, Schrauwen I, Leal SM, Wang Z, Yuan Y. Long-read whole-genome sequencing for the genetic diagnosis of dystrophinopathies. Annals of Clinical and Translational Neurology. PMID 32951359 DOI: 10.1002/Acn3.51201  0.317
2020 Kim-Hellmuth S, Aguet F, Oliva M, Muñoz-Aguirre M, Kasela S, Wucher V, Castel SE, Hamel AR, Viñuela A, Roberts AL, Mangul S, Wen X, Wang G, Barbeira AN, Garrido-Martín D, et al. Cell type-specific genetic regulation of gene expression across human tissues. Science (New York, N.Y.). 369. PMID 32913075 DOI: 10.1126/Science.Aaz8528  0.611
2020 Zhao L, Zhang Z, Rodriguez SMB, Vardarajan BN, Renton AE, Goate AM, Mayeux R, Wang GT, Leal SM. A quantitative trait rare variant nonparametric linkage method with application to age-at-onset of Alzheimer's disease. European Journal of Human Genetics : Ejhg. PMID 32740652 DOI: 10.1038/S41431-020-0703-Z  0.315
2020 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, et al. Allele-specific open chromatin in human iPSC neurons elucidates functional disease variants. Science (New York, N.Y.). 369: 561-565. PMID 32732423 DOI: 10.1126/Science.Aay3983  0.411
2020 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, et al. Genetic analyses support the contribution of mRNA N-methyladenosine (mA) modification to human disease heritability. Nature Genetics. PMID 32601472 DOI: 10.1038/S41588-020-0644-Z  0.646
2020 Wang G, Sarkar A, Carbonetto P, Stephens M. A simple new approach to variable selection in regression, with application to genetic fine mapping Journal of the Royal Statistical Society Series B-Statistical Methodology. DOI: 10.1111/Rssb.12388  0.562
2019 Zhao L, He Z, Zhang D, Wang GT, Renton AE, Vardarajan BN, Nothnagel M, Goate AM, Mayeux R, Leal SM. A Rare Variant Nonparametric Linkage Method for Nuclear and Extended Pedigrees with Application to Late-Onset Alzheimer Disease via WGS Data. American Journal of Human Genetics. 105: 822-835. PMID 31585107 DOI: 10.1016/J.Ajhg.2019.09.006  0.342
2019 Urbut SM, Wang G, Carbonetto P, Stephens M. Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. Nature Genetics. 51: 187-195. PMID 30478440 DOI: 10.1038/S41588-018-0268-8  0.578
2017 Zhang D, Zhao L, Li B, He Z, Wang GT, Liu DJ, Leal SM. SEQSpark: A Complete Analysis Tool for Large-Scale Rare Variant Association Studies using Whole-Genome and Exome Sequence Data. American Journal of Human Genetics. PMID 28669402 DOI: 10.1016/j.ajhg.2017.05.017  0.339
2016 Auer PL, Reiner AP, Wang G, Kang HM, Abecasis GR, Altshuler D, Bamshad MJ, Nickerson DA, Tracy RP, Rich SS, Leal SM. Guidelines for Large-Scale Sequence-Based Complex Trait Association Studies: Lessons Learned from the NHLBI Exome Sequencing Project. American Journal of Human Genetics. PMID 27666372 DOI: 10.1016/J.Ajhg.2016.08.012  0.454
2015 Wang GT, Zhang D, Li B, Dai H, Leal SM. Collapsed haplotype pattern method for linkage analysis of next-generation sequence data. European Journal of Human Genetics : Ejhg. PMID 25873013 DOI: 10.1038/ejhg.2015.64  0.343
2014 Rehman AU, Santos-Cortez RL, Drummond MC, Shahzad M, Lee K, Morell RJ, Ansar M, Jan A, Wang X, Aziz A, Riazuddin S, Smith JD, Wang GT, Ahmed ZM, Gul K, et al. Challenges and solutions for gene identification in the presence of familial locus heterogeneity. European Journal of Human Genetics : Ejhg. PMID 25491636 DOI: 10.1038/Ejhg.2014.266  0.321
2014 Wang GT, Peng B, Leal SM. Variant association tools for quality control and analysis of large-scale sequence and genotyping array data. American Journal of Human Genetics. 94: 770-83. PMID 24791902 DOI: 10.1016/j.ajhg.2014.04.004  0.375
2014 Wang GT, Li B, Santos-Cortez RP, Peng B, Leal SM. Power analysis and sample size estimation for sequence-based association studies. Bioinformatics (Oxford, England). 30: 2377-8. PMID 24778108 DOI: 10.1093/bioinformatics/btu296  0.304
2014 He Z, O'Roak BJ, Smith JD, Wang G, Hooker S, Santos-Cortez RL, Li B, Kan M, Krumm N, Nickerson DA, Shendure J, Eichler EE, Leal SM. Rare-variant extensions of the transmission disequilibrium test: application to autism exome sequence data. American Journal of Human Genetics. 94: 33-46. PMID 24360806 DOI: 10.1016/J.Ajhg.2013.11.021  0.376
2014 Li B, Wang G, Leal SM. PhenoMan: phenotypic data exploration, selection, management and quality control for association studies of rare and common variants. Bioinformatics (Oxford, England). 30: 442-4. PMID 24336645 DOI: 10.1093/bioinformatics/btt682  0.324
2013 Auer PL, Wang G, Leal SM. Testing for rare variant associations in the presence of missing data. Genetic Epidemiology. 37: 529-38. PMID 23757187 DOI: 10.1002/Gepi.21736  0.4
2012 Li B, Wang G, Leal SM. SimRare: a program to generate and analyze sequence-based data for association studies of quantitative and qualitative traits. Bioinformatics (Oxford, England). 28: 2703-4. PMID 22914216 DOI: 10.1093/bioinformatics/bts499  0.324
2012 Cheung YH, Wang G, Leal SM, Wang S. A fast and noise-resilient approach to detect rare-variant associations with deep sequencing data for complex disorders. Genetic Epidemiology. 36: 675-85. PMID 22865616 DOI: 10.1002/Gepi.21662  0.457
2012 San Lucas FA, Wang G, Scheet P, Peng B. Integrated annotation and analysis of genetic variants from next-generation sequencing studies with variant tools. Bioinformatics (Oxford, England). 28: 421-2. PMID 22138362 DOI: 10.1093/Bioinformatics/Btr667  0.569
2010 Wang G, Yang Y, Ott J. Genome-wide conditional search for epistatic disease-predisposing variants in human association studies. Human Heredity. 70: 34-41. PMID 20413980 DOI: 10.1159/000293722  0.357
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