My publications

1. Horowitz, J. E., Kosmicki, J. A., Damask, A., Sharma, D., Roberts, G. H. L., Justice, A. E., Banerjee, N., Coignet, M. V., Yadav, A. & Leader, J. B. et al. Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease. Nat Genet 54, 382–392 (2022).

2. Kessler, M. D., Damask, A., O’Keeffe, S., Van Meter, M., Banerjee, N., Semrau, S., Li, D., Watanabe, K., Horowitz, J. & Houvras, Y. et al. Exome sequencing of 628,388 individuals identifies common and rare variant associations with clonal hematopoiesis phenotypes. medRxiv (2022).

3. Verweij, N., Haas, M. E., Nielsen, J. B., Sosina, O. A., Kim, M., Akbari, P., De, T., Hindy, G., Bovijn, J. & Persaud, T. et al. Germline Mutations in CIDEB and Protection against Liver Disease. New England Journal of Medicine 387, 332–344 (2022).

4. Ziyatdinov, A., Torres, J., Alegre-Díaz, J., Backman, J., Mbatchou, J., Turner, M., Gaynor, S. M., Joseph, T., Zou, Y. & Liu, D. et al. Genotyping, sequencing and analysis of 140,000 adults from the Mexico City Prospective Study. bioRxiv (2022).

5. Akbari, P., Gilani, A., Sosina, O., Kosmicki, J. A., Khrimian, L., Fang, Y. Y., Persaud, T., Garcia, V., Sun, D. & Li, A. et al. Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity. Science 373, (2021).

6. Backman, J. D., Li, A. H., Marcketta, A., Sun, D., Mbatchou, J., Kessler, M. D., Benner, C., Liu, D., Locke, A. E. & Balasubramanian, S. et al. Exome sequencing and analysis of 454,787 UK Biobank participants. Nature 599, 628–634 (2021).

7. Kosmicki, J. A., Horowitz, J. E., Banerjee, N., Lanche, R., Marcketta, A., Maxwell, E., Bai, X., Sun, D., Backman, J. D. & Sharma, D. et al. A catalog of associations between rare coding variants and COVID-19 outcomes. medRxiv (2021).

8. Kosmicki, J. A., Horowitz, J. E., Banerjee, N., Lanche, R., Marcketta, A., Maxwell, E., Bai, X., Sun, D., Backman, J. D. & Sharma, D. et al. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals. Am J Hum Genet 108, 1350–1355 (2021).

9. Mbatchou, J., Barnard, L., Backman, J., Marcketta, A., Kosmicki, J. A., Ziyatdinov, A., Benner, C., O’Dushlaine, C., Barber, M. & Boutkov, B. et al. Computationally efficient whole-genome regression for quantitative and binary traits. Nat Genet 53, 1097–1103 (2021).

10. Mbatchou, J., Abney, M. & McPeek, M. S. Permutation methods for assessing significance in binary trait association mapping with structured samples. bioRxiv (2019).

11. Jiang, D., Mbatchou, J. & McPeek, M. S. Retrospective Association Analysis of Binary Traits: Overcoming Some Limitations of the Additive Polygenic Model. Hum Hered 80, 187–95 (2015).

12. Kharas, G. B., Hanawa, E., Hill, B. L., Flynn, K. T., Husain, H., Mbatchou, J., Paik, W., Peters, A. L., Miguel, Y. S. & Pacilli, M. Novel Copolymers of 4-Fluorostyrene. 8. Some Ring-Trisubstituted 2-Phenyl-1, 1-dicyanoethylenes. Journal of Macromolecular Science, Part A 48, 327–331 (2011).

13. Nelsen, M. P., Lücking, R., Mbatchou, J. S., Andrew, C. J., Spielmann, A. A. & Lumbsch, H. T. New insights into relationships of lichen-forming Dothideomycetes. Fungal Diversity 51, 155–162 (2011).

14. Nelsen, M. P., Lücking, R., Plata, E. R. & Mbatchou, J. S. Heiomasia, a new genus in the lichen-forming family Graphidaceae (Ascomycota: Lecanoromycetes: Ostropales) with disjunct distribution in Southeastern North America and Southeast Asia. The Bryologist 113, 742–751 (2010).

15. Nelsen, M. P., Lucking, R., Grube, M., Mbatchou, J. S., Muggia, L., Plata, E. R. & Lumbsch, H. T. Unravelling the phylogenetic relationships of lichenised fungi in Dothideomyceta. Stud Mycol 64, 135–144S4 (2009).

16. Schoch, C. L., Crous, P. W., Groenewald, J. Z., Boehm, E. W., Burgess, T. I., Gruyter, J. de, Hoog, G. S. de, Dixon, L. J., Grube, M. & Gueidan, C. et al. A class-wide phylogenetic assessment of Dothideomycetes. Stud Mycol 64, 1–15S10 (2009).

References

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