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Vodičková, Ľudmila

https://orcid.org/0000-0002-8277-539X

Mayo Clinic

Charles University

Citations 2

ULK4 and CDKN2A polymorphisms influence the risk of developing monoclona
Macauda, A., Cabrera-Serrano, Antonio José , Thomsen, Hauke, Güler, Murat, Guelpen, Bethany Van , Landi, S., Chattopadhyay, Subhayan , Unal, P., Ruiz‐Durán, Lucía, Casabonne, Delphine , Goldschmidt, Hartmut, Carretero‐Fernández, María, Cabezudo, Elena Duque, Norman, A., García‐Sánz, Ramón , Pettersson‐Kymmer, Ulrika, Jiménez‐Romera, Francisco, Rajkumar, S. Vincent, Weinhold, Niels , Vodickova, Ludmila, Langer, C., Stein, Angelika, Karismaz, Abdulkadir, Jöckel, K‐H, Martínez‐López, Joaquín, Kumar, Shaji K., Gutiérrez‐Bautista, Juan Francisco , Basso, Daniela, Späth, Florentin , Benavente, Yolanda , Hildebrandt, Michelle A. T., Schmidt, Börge, Reis, Rui Manuel , Li, Yang, Netea, M. G. , Campa, Daniele, Clay‐Gilmour, Alyssa, Hemminki, Kari, Vachon, Celine M, Martínez‐López, Joaquín , Landi, Stefano , Thomsen, Hauke , Van Guelpen, Bethany , Landi, Stefano , Casabonne, Delphine , Moreno, Victor , Tavano, Francesca , Hildebrandt, Michelle A T , Schmidt, Börge , Reis, Rui Manuel , Campa, Daniele , Försti, Asta , Canzian, Federico , Sainz, Juan , Garcia-Sanz, Ramon , Martinez-Lopez, Joaquin , Thomsen, Hauke , Carretero-Fernández, María , Sánchez‐Maldonado, José Manuel , Macauda, Angelica , Horst, Rob ter , Vodička, Pavel , Ruiz-Durán, Lucía , Goldschmidt, Hartmut , Serin, İstemi , Reyes‐Zurita, Fernando J. , Norman, Aaron D. , Capurso, Gabriele , Hoffmann, Per , Petterson-Kymmer, Ulrika, Jiménez-Romera, Francisco, Rajkumar, S. Vincent , Vodičková, Ľudmila , Karışmaz, Abdülkadir , Moreno, Vı́ctor , Nöthen, Markus M. , Tavano, Francesca , Kumar, Shaji , Basso, Daniela , Hildebrandt, Michelle A.T. , Ševčíková, Tereza , López‐Nevot, Miguel Ángel , Clay‐Gilmour, Alyssa , Slager, Susan L. , Hemminki, Kari, Försti, Asta , Canzian, Federico , Sáinz, Juan

International Journal of Cancer | March 12, 2026 | Volume: 159 | Issue: 2 | Pages: 410-422

10.1002/ijc.70427 Get It

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy‐related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy‐related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood‐derived immune cell subsets and 103 circulating immunological proteins. Meta‐analysis revealed a genome‐wide significant association between the ULK4 rs6599175C allele and increased MGUS risk ( p = 3.35 × 10 −8 ). Carriers of this allele showed reduced counts of memory B cell subsets (IgM+CD38+CD27+ and IgD+IgM+CD27+; p = .0038 and p = .0056, respectively) and natural effector B cells (CD24+CD38+IgD+IgM+ cells; p = .0060). Although these associations were not statistically significant after multiple testing correction, they suggest a role of ULK4 in early B‐cell differentiation. Additionally, the CDKN2A rs2811710 variant showed a suggestive association with MGUS risk ( p = 2.17 × 10 −4 ), affecting transcription factor binding involved in B‐cell proliferation and differentiation, although it lacked association with immune markers. In conclusion, we confirm a genome‐wide significant association of the ULK4 locus and MGUS risk, supporting its role in early B‐cell differentiation, and identify CDKN2A as a candidate susceptibility locus warranting further investigation.
Adiposity distribution and risks of 12 obesity-related cancers: a Mendelian randomization analysis
Hazelwood, Emma , Goudswaard, Lucy J. , Lee, Matthew A. , Vabistsevits, Marina , Pournaras, Dimitri J. , Buchanan, Daniel D. , Gruber, Stephen B. , Gsur, Andrea , Li, Li , Vodičková, Ľudmila , Grant, Robert C. , Samadder, N. Jewel , Timpson, Nicholas J. , Vincent, Emma E. , Brenner, Hermann , Buchanan, Daniel D , Gruber, Stephen B , Gsur, Andrea , Li, Li , Vodickova, Ludmila , Samadder, N Jewel , Gunter, Marc J , Yarmolinsky, James , Richardson, Tom G , Freisling, Heinz , Vincent, Emma E , Hazelwood, Emma , Brenner, Hermann , Gunter, Marc J. , Schuster‐Böckler, Benjamin , Murphy, Neil

JNCI: Journal of the National Cancer Institute | September 12, 2025 | Volume: 117 | Issue: 12 | Pages: 2621-2642

10.1093/jnci/djaf201 Get It

Abstract Introduction There is convincing evidence that overall adiposity increases the risks of several cancers. Whether the distribution of adiposity plays a similar role is unclear. Methods We used 2-sample Mendelian randomization (MR) to examine causal relationships of 5 adiposity distribution traits (abdominal subcutaneous adipose tissue (ASAT); visceral adipose tissue (VAT); gluteofemoral adipose tissue (GFAT); liver fat; and pancreas fat) with the risks of 12 obesity-related cancers (endometrial, ovarian, breast, colorectal, pancreas, multiple myeloma, liver, kidney (renal cell), thyroid, gallbladder, esophageal adenocarcinoma, and meningioma). Results Sample size across all genome-wide association studies (GWAS) ranged from 8407 to 728 896 (median: 57 249). We found evidence that higher genetically predicted ASAT increased the risks of endometrial cancer, liver cancer, and esophageal adenocarcinoma (odds ratios (OR) and 95% confidence intervals (CI) per standard deviation (SD) higher ASAT = 1.79 (1.18 to 2.71), 3.83 (1.39 to 10.53), and 2.34 (1.15 to 4.78), respectively). Conversely, we found evidence that higher genetically predicted GFAT decreased the risks of breast cancer and meningioma (ORs and 95% CIs per SD higher genetically predicted GFAT = 0.77 (0.62 to 0.97) and 0.53 (0.32 to 0.90), respectively). We also found evidence for an effect of higher genetically predicted VAT and liver fat on increased liver cancer risk (ORs and 95% CIs per SD higher genetically predicted adiposity trait = 4.29 (1.41 to 13.07) and 4.09 (2.29 to 7.28), respectively). Discussion Our analyses provide novel insights into the relationship between adiposity distribution and cancer risk. These insights highlight the potential importance of adipose tissue distribution alongside maintaining a healthy weight for cancer prevention.