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  1. A network-based conditional genetic association analysis of the human metabolome

    Tsepilov, Y. A., Sharapov, S. Z., Zaytseva, O. O., Krumsek, J., Prehn, C., Adamski, J., Kastenmüller, G., Wang-Sattler, R., Strauch, K., Gieger, C. & Aulchenko, Y. S., 29 Nov 2018, In: GigaScience. 7, 12, 11 p., 137.

    Research output: Contribution to journal › Article › peer-review

  2. Analysis of genetically independent phenotypes identifies shared genetic factors associated with chronic musculoskeletal pain conditions

    Tsepilov, Y. A., Freidin, M. B., Shadrina, A. S., Sharapov, S. Z., Elgaeva, E. E., Zundert, J. V., Karssen, L., Suri, P., Williams, F. M. K. & Aulchenko, Y. S., 25 Jun 2020, In: Communications Biology. 3, 1, 13 p., 329.

    Research output: Contribution to journal › Article › peer-review

  3. A multi-trait approach identified 7 novel genes for back pain

    Belonogova, N. M., Elgaeva, E. E., Zorkoltseva, I. V., Kirichenko, A. V., Svishcheva, G. R., Freidin, M. B., Williams, F. M. K., Suri, P., Axenovich, T. I. & Tsepilov, Y. A., Feb 2025, In: Pain Reports. 10, 1, p. e1218 e1218.

    Research output: Contribution to journal › Article › peer-review

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