Publications

Selected Publications

[Full list of Google Scholar articles]

•   Zhang, H., Zhan, J., Jin, J. …, Lin, X, Koelsch, B. L. and Chatterjee, N. (2023)   A new method for multiancestry polygenic prediction improves performance across diverse populations. Nature Genetics, https://doi.org/10.1038/s41588-023-01501-z
•   Li, X., Quick, C., Zhou, H., Gaynor, S., Liu, Y., Chen, H., Selvaraj, M., Sun, R., Dey, R., …, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Natarajan, P., Peloso, G., Li, Z., Lin, X. (2023) Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nature Genetics 55(1), 154-164.
•   Zhou, H., Arapoglou, T., Li, X., Li, Z., Zheng, X., Moore, J., Asok, A., Kumar, S., Blue, E.E., Buyske, S., Cox, N., Felsenfeld, A., Gerstein, M., Kenny, E., Li, B., Matise, T., Philippakis, A., Rehm, H.L., Sofia, H.J., Snyder, G., NHGRI Genome Sequencing Program Variant Functional Annotation Working Group, Weng, Z., Neale, B., Sunyaev, S.R., Lin, X. (2023). FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Research 51(D1), D1300-D1311
•   Li, Z., Li, X., Zhou, H., Gaynor, S.M., Selvaraj, M., Arapoglou, T., Quick, C., Liu, Y., Chen, H., Sun, R., Dey, R., …, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Willer, C., Natarajan, P., Peloso, G., Lin, X. (2022). A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nature Methods, 19(12), 1599-1611
•   Li, Z., Liu, Y., Lin X. (2022). Simultaneous detection of signal regions using quadratic scan statistics with applications in whole genome association studies. Journal of American Statistical Association 117(538), 823-834
•   Liu, Y., Li, Z., Lin X. (2022). A minimax optimal ridge-type set test for global hypothesis with applications in whole genome sequencing association studies. Journal of American Statistical Association 117(538), 897-908
•   Liu, Z., Shen, J., Barfield, R., Schwartz, J., Baccarelli, A., Lin, X. (2022). Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies. Journal of American Statistical Association 117(537), 67-81
•   Dey, R., Zhou, W., Kiiskinen, T., Havulinna, A., Elliott, A., Karjalainen, J., Kurki, M., Qin, A., FinnGen, Lee, S., Palotie, A., Neale, B., Daly, M., Lin, X. (2022). Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks. Nature Communications, 13(1), 5437
•   Hong, D., Dey, R., Lin, X.*, Cleary, B.*, Dobriban, E.* (2022). Group testing via hypergraph factorization applied to COVID-19. Nature Communication, https://doi.org/10.1038/s41467-022-29389-z. (* co-corresponding authors)
•   Lin, X. (2022). Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection. Statistical Science 37(2), 278-283
•   Quick, C., Dey, R., and  Lin, X. (2021). Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data (with Discussions). Journal of the American Statistical Association 116(536), 1561-1577
•   Ke, Z., Ma, Y., and Lin, X. (2021) Estimating the rank of a spiked covariance matrix by spectral quantile matching. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2021.1933497.
•   Wang, X., Lin, X., Johnson, B., Christiani, D. C. (2021) Smoking history as a potential predictor of immune checkpoint inhibitor (ICI) efficacy in metastatic non-small cell lung cancer (NSCLC), Journal of National Cancer Institute, https://doi.org/10.1093/jnci/djab116.
•   Dayan, I., Roth. H., Zhong, Z., Harouni, A., …  Lin, X., Wen, Y., Gilbert, F. J., Flores, M. G., Li, Q. (2021).  Federated Learning used for predicting outcomes in SARS-COV-2 patients. Nature Medicine, 27,1735–1743.
•   Li, X., Li, Z., Zhou, H, Gaynor, S, …, Rotter, J., Willer, C. J., Peloso, G. M., Natarajan, P., Lin, X (2020). Dynamic incorporation of multiple in-silico functional annotations empowers rare variant association analysis of large whole genome sequencing studies at scale. Nature Genetics, 52(9), pp.969-983.
•   Pan, A., Liu, L., Wang, C., Guo, H., Hao, X., Wang Q., Huang, J., He, N., Yu, Ho, Lin, X.*, Wei, S.*, Wu, T.* (2020) Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China. Journal of the American Medical Association 323(19):1915-1923 (* Co-corresponding authors)
•   Segal, E., Zhang, F., Lin, X., King, G., Shalem, O, Shilo, S, Allen, W., Grad, Y., Greene, C., Alquaddoomi, F., Anders, S., Balicer, R., Bauman, T., Bonilla, X, Booman, G., Chan, A., Cohen, O., Coletti, S., Davidson, N., Dor, Y., Drew D., Elemento, O., Evans, G., Ewels, P., Gale, J., Gavrieli, A., Geiger, G., Hajirasouliha, I., Jerala, R., Kahles, A., Kallioniemi, O, Keshet, A., Kocarev, L., Landua, G., Meir, T., Muller, A., Nguyen, A., Oresic, M., Ovchinnikova, S., Peterson, D. , Prodanova, J., Rajagopal, J., Rtsch, G., Rossman, H., Rung, J., Sboner, A., Sigaras, A., Spector, T., Steinherz, R., Stevens, I., Vilo, J., Wilmes, P. (2020) Building an International Consortium for Tracking Coronavirus Health Status Nature Medicine 26(8), 1161-1165
•   Sun, R. and Lin, X. (2020). Genetic Variant Set-Based Tests Using the Generalized Berk-Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer Journal of the American Statistical Association 115 (531), 1079-1091
• Sun, R., Xu, M., Li, X., Gaynor, S., Zhou, H., Li, Z., Bossé, Y., Lam, S., Tsao, M.S., Tardon, A. and Chen, C., 2021. Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer. Genetic epidemiology, 45(1), pp.99-114.
• Hao, X., Cheng, S., Wu, D., Wu, T.*, Lin, X.* and Wang, C.* (2020)   Reconstruction of the full transmission dynamics of COVID-19 in Wuhan, Nature, 584(7821), pp.420-424. (* co-corresponding authors)
• He, X., and Lin, X. (2020). Challenges and Opportunities in Statistics and Data Science: Ten Research Areas (with Discussions). Harvard Data Science Review. 2(3), https://doi.org/10.1162/99608f92.95388fcb
• Taliun, D., Harris, D.N., Kessler, M.D., Carlson, J., Szpiech, Z.A., Torres, R., Taliun, S.A.G., Corvelo, A., Gogarten, S.M., Kang, H.M. and Pitsillides, A.N., , Lin, X., , …, Abecasis, G. (2020). Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature, 590(7845), pp.290-299.