Our publications

2023

  1. Naderi E, Cornejo-Sanchez DM, Li G, Schrauwen I, Wang G, Dewan AT, Leal SM. The genetic contribution of the X chromosome in age-related hearing loss. Front Genet. 2023 Feb 21;14:1106328. doi: 10.3389/fgene.2023.1106328.
  2. Cornejo-Sanchez DM, Li G, Fabiha T, Wang R, Acharya A, Everard JL, Kadlubowska MK, Huang Y, Schrauwen I, Wang G, DeWan AT, Leal SM. Rare-variant association analysis reveals known and new age-related hearing loss genes. Eur J Hum Genet. 2023 Feb 15. doi: 10.1038/s41431-023-01302-2.
  3. 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.biorxiv 2023 (under review at PLoS Genetics), doi:10.1101/2022.11.22.517471.
  4. Yang J, Xu Y, Yao M, Wang G, Liu Z, ERStruct: A Fast Python Package for Inferring the Number of Top Principal Components from Whole Genome Sequencing Data. BMC Bioinformatics 2023, doi: 10.1186/s12859-023-05305-0.
  5. 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 2023 (under review at Nature Genetics), doi:10.1101/2023.04.14.536893.
  6. Ding R, Zou X, Qin Y, Chen H, Ma X, Yu C, Wang G, Li L, xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs. biorxiv 2023 (under review at Cell Reports Methods), doi: 10.1101/2023.04.28.538654.

2022

  1. Zou Y, Carbonetto P, Wang G, Stephens M. Fine-mapping from summary data with the “Sum of Single Effects” model. PLoS Genet. 2022. doi: 10.1371/journal.pgen.1010299.
  2. Olayinka OA, O’Neill NK, Farrer LA, Wang G, Zhang X. Molecular Quantitative Trait Locus Mapping in Human Complex Diseases. Curr Protoc. 2022. doi: 10.1002/cpz1.426.
  3. 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 Protoc. 2022. doi: 10.1016/j.xpro.2022.101566.
  4. Clark LN, Gao Y., Wang G, Hernandez N, Ashley-Koch A, Jankovic J, Ottman R, Leal SM, Rodriguez SMB and Louis ED. Whole genome sequencing identifies candidate genes for familial essential tremor and reveals biological pathways implicated in essential tremor aetiology. eBioMedicine 2022. doi: 10.1016/j.ebiom.2022.104290

2021

  1. Wu T, Wang Y, Wang YL, Zhao E and Wang G, OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021. doi: 10.1109/BIBM52615.2021.9669367.
  2. Roychowdhury T, Lu H, Hornsby WE, Crone B, Wang G, Guo DC, Sendamarai AK, Devineni P, Lin M, Zhou W, Graham SE, Wolford BN, Surakka I, Wang Z, Chang L, Zhang J, Mathis M, Brummett CM, Melendez TL, Shea MJ, Kim KM, Deeb GM, Patel HJ, Eliason J, Eagle KA, Yang B, Ganesh SK, Brumpton B, Åsvold BO, Skogholt AH, Hveem K; VA Million Veteran Program, Pyarajan S, Klarin D, Tsao PS, Damrauer SM, Leal SM, Milewicz DM, Chen YE, Garcia-Barrio MT, Willer CJ. Regulatory variants in TCF7L2 are associated with thoracic aortic aneurysm. Am J Hum Genet. 2021. doi: 10.1016/j.ajhg.2021.06.016.
  3. 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. Nat Genet. 2021. doi: 10.1038/s41588-021-00864-5.
  4. 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; GTEx GWAS Working Group, Bastarache L, Jordan DM, Verbanck M, Do R; GTEx Consortium, Stephens M, Ardlie K, McCarthy M, Montgomery SB, Segrè AV, Brown CD, Lappalainen T, Wen X, Im HK. Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. Genome Biol. 2021. doi: 10.1186/s13059-020-02252-4.
  5. Xie Z, Sun C, Liu Y, Yu M, Zheng Y, Meng L, Wang G, Cornejo-Sanchez DM, Bharadwaj T, Yan J, Zhang L, Pineda-Trujillo N, Zhang W, Leal SM, Schrauwen I, Wang Z, Yuan Y. Practical approach to the genetic diagnosis of unsolved dystrophinopathies: a stepwise strategy in the genomic era. J Med Genet. 2021. doi: 10.1136/jmedgenet-2020-107113.
  6. Qian T, Chen C, Li C, Gong Q, Liu K, Wang G, Schrauwen I, Xu X. A novel 4.25 kb heterozygous deletion in PAX6 in a Chinese Han family with congenital aniridia combined with cataract and nystagmus. BMC Ophthalmol. 2021. doi: 10.1186/s12886-021-02120-0.
  7. Qian T, Gong Q, Shen H, Li C, Wang G, Xu X, Schrauwen I, Wang W. Novel variants in the RDH5 Gene in a Chinese Han family with fundus albipunctatus. BMC Ophthalmol. 2022. doi: 10.1186/s12886-022-02301-5.

2020

  1. 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). 2020. https://doi.org/10.1111/rssb.12388
  2. Wang Y., Wu T., Wang YL., Wang, G. (2020). Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning. Biocomputing 2020. https://doi.org/10.1142/9789811215636_0045
  3. 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, Nadel BB, Zou Y, Bonazzola R, Quan J, Brown A, Martinez-Perez A, Soria JM; GTEx Consortium, Getz G, Dermitzakis ET, Small KS, Stephens M, Xi HS, Im HK, Guigó R, Segrè AV, Stranger BE, Ardlie KG, Lappalainen T. Cell type-specific genetic regulation of gene expression across human tissues. Science. 2020. doi: 10.1126/science.aaz8528.
  4. 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. Ann Clin Transl Neurol. 2020 doi: 10.1002/acn3.51201.
  5. Zhao L, Zhang Z, Rodriguez SMB, Vardarajan BN, Renton AE, Goate AM, Mayeux R, Wang G, Leal SM. A quantitative trait rare variant nonparametric linkage method with application to age-at-onset of Alzheimer’s disease. Eur J Hum Genet. 2020. doi: 10.1038/s41431-020-0703-z.
  6. 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. Genet Epidemiol. 2020. doi: 10.1002/gepi.22346.
  7. 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. doi: 10.1038/s41588-020-0644-z.
  8. 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. doi: 10.1126/science.aay3983.