dr. P.J. van der Most

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p.j.van.der.most umcg.nl


Research interests

Peter van der Most is a post-doc researcher at the unit of Genetic Epidemiology & Bioinformatics. He graduated in 2008 at the University of Groningen (bachelor in Life Science & Technology; master in Behavioural & Cognitive Neuroscience), and is interested in the intersection of biology, medicine and technology. Following graduation, he worked for two years at the department of Behavioural Biology with Prof. Simon Verhulst. There he used meta-analysis to study trade-offs between growth and immunity, and between quality and quantity of offspring in birds. Subsequently Peter van der Most wrote his PhD thesis on novel statistical methods and the development of quality-control tools for (epi-)genome-wide analysis at the unit of Genetic Epidemiology with Prof. Harold Snieder.

  1. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

    Early Growth Genetics Consortium, Vogelezang, S., Bradfield, J. P., Ahluwalia, T. S., Curtin, J. A., Lakka, T. A., Grarup, N., Scholz, M., van der Most, P. J., Monnereau, C., Stergiakouli, E., Heiskala, A., Horikoshi, M., Fedko, I. O., Vilor-Tejedor, N., Cousminer, D. L., Standl, M., Wang, C. A., Viikari, J., Geller, F., Íñiguez, C., Pitkänen, N., Chesi, A., Bacelis, J., Yengo, L., Torrent, M., Ntalla, I., Helgeland, Ø., Selzam, S., Vonk, J. M., Zafarmand, M. H., Heude, B., Farooqi, I. S., Alyass, A., Beaumont, R. N., Have, C. T., Rzehak, P., Bilbao, J. R., Schnurr, T. M., Barroso, I., Bønnelykke, K., Beilin, L. J., Carstensen, L., Charles, M-A., Chawes, B., Clément, K., Closa-Monasterolo, R., Custovic, A., Reijneveld, S. A., Koppelman, G. H. & Snieder, H., 12-Oct-2020, In : PLoS genetics. 16, 10, 26 p., e1008718.

    Research output: Contribution to journalArticleAcademicpeer-review

  2. Identification, Heritability, and Relation With Gene Expression of Novel DNA Methylation Loci for Blood Pressure

    Huang, Y., Ollikainen, M., Muniandy, M., Zhang, T., van Dongen, J., Hao, G., van der Most, P. J., Pan, Y., Pervjakova, N., Sun, Y. V., Hui, Q., Lahti, J., Fraszczyk, E., Lu, X., Sun, D., Richard, M. A., Willemsen, G., Heikkila, K., Mateo Leach, I., Mononen, N., Kähönen, M., Hurme, M. A., Raitakari, O. T., Drake, A. J., Perola, M., Nuotio, M-L., Huang, Y., Khulan, B., Räikkönen, K., Wolffenbuttel, B. H. R., Zhernakova, A., Fu, J., Zhu, H., Dong, Y., van Vliet-Ostaptchouk, J. V., Franke, L., Eriksson, J. G., Fornage, M., Milani, L., Lehtimäki, T., Vaccarino, V., Boomsma, D. I., van der Harst, P., de Geus, E. J. C., Salomaa, V., Li, S., Chen, W., Su, S., Wilson, J., Snieder, H., Kaprio, J. & Wang, X., Jul-2020, In : Hypertension (Dallas, Tex. : 1979). 76, 1, p. 195-205 11 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  3. Genetic Risk Scores for Complex Disease Traits in Youth

    Xie, T., Wang, B., Nolte, I. M., van der Most, P. J., Oldehinkel, A. J., Hartman, C. A. & Snieder, H., Aug-2020, In : Circulation. Genomic and precision medicine. 13, 4, p. 212-221 25 p., e002775.

    Research output: Contribution to journalArticleAcademicpeer-review

  4. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

    23andMe Research Team, Meddens, S. F. W., de Vlaming, R., Bowers, P., Burik, C. A. P., Linnér, R. K., Lee, C., Okbay, A., Turley, P., Rietveld, C. A., Fontana, M. A., Ghanbari, M., Imamura, F., McMahon, G., van der Most, P. J., Voortman, T., Wade, K. H., Anderson, E. L., Braun, K. V. E., Emmett, P. M., Esko, T., Gonzalez, J. R., Kiefte-de Jong, J. C., Langenberg, C., Luan, J., Muka, T., Ring, S., Rivadeneira, F., Snieder, H., van Rooij, F. J. A., Wolffenbuttel, B. H. R., Smith, G. D., Franco, O. H., Forouhi, N. G., Ikram, M. A., Uitterlinden, A. G., van Vliet-Ostaptchouk, J. V., Wareham, N. J., Cesarini, D., Harden, K. P., Lee, J. J., Benjamin, D. J., Chow, C. C. & Koellinger, P. D., 11-May-2020, In : Molecular Psychiatry. 14 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  5. Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci

    Int Cannabis Consortium, 1-Jan-2020, In : Drug and Alcohol Dependence. 206, 9 p., 107703.

    Research output: Contribution to journalArticleAcademicpeer-review

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