Kim, J., Williams, A., Noh, H., Jasper, E. A., Jones, S. H., Jaworski, J. A., Shuey, M. M., Ruiz-Narváez, E. A., Wise, L. A., Palmer, J. R., Connolly, J., Keaton, J. M., Denny, J. C., Khan, A., Abbass, M. A., Rasmussen-Torvik, L. J., Kottyan, L. C., Madhivanan, P., Krupp, K., … Hellwege, J. N. (2025). Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-57483-5

Simeone, C. A., McNulty, M. T., Gupta, Y., Genovese, G., Sampson, M. G., Sanna-Cherchi, S., Friedman, D. J., & Pollak, M. R. (2024). The APOL1 p.N264K variant is co-inherited with the G2 kidney disease risk variant through a proximity recombination event. G3: Genes, Genomes, Genetics. https://doi.org/10.1093/g3journal/jkae290

Grodstein, F., Lemos, B., Yang, J., de Paiva Lopes, K., Vialle, R. A., Seyfried, N., Wang, Y., Shireby, G., Hannon, E., Thomas, A., Brookes, K., Mill, J., De Jager, P. L., & Bennett, D. A. (2024). Genetic architecture of epigenetic cortical clock age in brain tissue from older individuals: alterations in CD46 and other loci. Epigenetics, 19(1). https://doi.org/10.1080/15592294.2024.2392050

Vandebergh, M., Ramos, E. M., Corriveau-Lecavalier, N., Ramanan, V. K., Kornak, J., Mester, C., Kolander, T., Brushaber, D. E., Staffaroni, A. M., Geschwind, D. H., Wolf, A. A., Kantarci, K., Gendron, T., Petrucelli, L., Van den Broeck, M., Wynants, S., Baker, M., Borrego-Écija, S., … Appleby, B. (2024). Gene-Specific Effects on Brain Volume and Cognition of TMEM106B in Frontotemporal Lobar Degeneration. Neurology, 103(8). https://doi.org/10.1212/wnl.0000000000209832

Chen, Q., Aguirre, L., Liang, G., Zhao, H., Dong, T., Borrego, F., de Rojas, I., Hu, Q., Reyes, C., Su, L.-Y., Zhang, B., Lechleiter, J. D., Göring, H. H. H., De Jager, P. L., Kleinman, J. E., Hyde, T. M., Li, P. P., Ruiz, A., Weinberger, D. R., … Ma, L. (2024). Identification of a specific APOE transcript and functional elements associated with Alzheimer’s disease. Molecular Neurodegeneration, 19(1). https://doi.org/10.1186/s13024-024-00751-7

Mosley, J. D., Shelley, J. P., Dickson, A. L., Zanussi, J., Daniel, L. L., Zheng, N. S., Bastarache, L., Wei, W.-Q., Shi, M., Jarvik, G. P., Rosenthal, E. A., Khan, A., Sherafati, A., Kullo, I. J., Walunas, T. L., Glessner, J., Hakonarson, H., Cox, N. J., Roden, D. M., … Kawai, V. K. (2024). Clinical associations with a polygenic predisposition to benign lower white blood cell counts. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-47804-5

Einson, J., Minaeva, M., Rafi, F., & Lappalainen, T. (2024). The impact of genetically controlled splicing on exon inclusion and protein structure. PLOS ONE, 19(3), e0291960. https://doi.org/10.1371/journal.pone.0291960

Kim, K., Jun, T.-H., Ha, B.-K., Wang, S., & Sun, H. (2023). New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits. BMC Bioinformatics, 24(1). https://doi.org/10.1186/s12859-023-05505-8

Auer, P. L., Wang, G., Li, G., DeWan, A. T., & Leal, S. M. (2023). Comparison of multiple imputation and other methods for the analysis of imputed genotypes. BMC Genomics, 24(1). https://doi.org/10.1186/s12864-023-09415-0

Liu, W., Lin, H., Liu, L., Ma, Y., Wei, Y., & Li, Y. (2023). Supervised structural learning of semiparametric regression on high‐dimensional correlated covariates with applications to eQTL studies. Statistics in Medicine, 42(18), 3145–3163. Portico. https://doi.org/10.1002/sim.9769

Morgante, F., Carbonetto, P., Wang, G., Zou, Y., Sarkar, A., & Stephens, M. (2023). A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLOS Genetics, 19(7), e1010539. https://doi.org/10.1371/journal.pgen.1010539

Yang, Z., Wang, C., Liu, L., Khan, A., Lee, A., Vardarajan, B., Mayeux, R., Kiryluk, K., & Ionita-Laza, I. (2023). CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses. Nature Genetics, 55(6), 1057–1065. https://doi.org/10.1038/s41588-023-01392-0

Jang, S.-K., Evans, L., Fialkowski, A., Arnett, D. K., Ashley-Koch, A. E., Barnes, K. C., Becker, D. M., Bis, J. C., Blangero, J., Bleecker, E. R., Boorgula, M. P., Bowden, D. W., Brody, J. A., Cade, B. E., Jenkins, B. W. C., Carson, A. P., Chavan, S., Cupples, L. A., Custer, B., … Vrieze, S. (2022). Rare genetic variants explain missing heritability in smoking. Nature Human Behaviour, 6(11), 1577–1586. https://doi.org/10.1038/s41562-022-01408-5

Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., Miao, J., Arias, J. D., Graham, S. E., Mukamel, R. E., Spracklen, C. N., Yin, X., Chen, S.-H., Ferreira, T., Highland, H. H., … Hirschhorn, J. N. (2022). A saturated map of common genetic variants associated with human height. Nature, 610(7933), 704–712. https://doi.org/10.1038/s41586-022-05275-y

Jones, A. V., Curtiss, D., Harris, C., Southerington, T., Hautalahti, M., Wihuri, P., Mäkelä, J., Kallionpää, R. E., Makkonen, E., Knopp, T., Mannermaa, A., Mäkinen, E., Moilanen, A.-M., Tezel, T. H., & Waheed, N. K. (2022). An assessment of prevalence of Type 1 CFI rare variants in European AMD, and why lack of broader genetic data hinders development of new treatments and healthcare access. PLOS ONE, 17(9), e0272260. https://doi.org/10.1371/journal.pone.0272260

Ramdas, S., Judd, J., Graham, S. E., Kanoni, S., Wang, Y., Surakka, I., Wenz, B., Clarke, S. L., Chesi, A., Wells, A., Bhatti, K. F., Vedantam, S., Winkler, T. W., Locke, A. E., Marouli, E., Zajac, G. J. M., Wu, K.-H. H., Ntalla, I., Hui, Q., … Brown, C. D. (2022). A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. The American Journal of Human Genetics, 109(8), 1366–1387. https://doi.org/10.1016/j.ajhg.2022.06.012

Škorić-Milosavljević, D., Tadros, R., Bosada, F. M., Tessadori, F., van Weerd, J. H., Woudstra, O. I., Tjong, F. V. Y., Lahrouchi, N., Bajolle, F., Cordell, H. J., Agopian, A. J., Blue, G. M., Barge-Schaapveld, D. Q. C. M., Gewillig, M., Preuss, C., Lodder, E. M., Barnett, P., Ilgun, A., Beekman, L., … Bezzina, C. R. (2022). Common Genetic Variants Contribute to Risk of Transposition of the Great Arteries. Circulation Research, 130(2), 166–180. https://doi.org/10.1161/circresaha.120.317107

Longchamps, R. J., Yang, S. Y., Castellani, C. A., Shi, W., Lane, J., Grove, M. L., Bartz, T. M., Sarnowski, C., Liu, C., Burrows, K., Guyatt, A. L., Gaunt, T. R., Kacprowski, T., Yang, J., De Jager, P. L., Yu, L., Bergman, A., Xia, R., Fornage, M., … Arking, D. E. (2021). Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation. Human Genetics, 141(1), 127–146. https://doi.org/10.1007/s00439-021-02394-w