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Your search keyword '"Elza K. Khusnutdinova"' showing total 3 results
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1. Anthropology of the Finno-Ugric Peoples: The Question of Pigmentation in the Aspect of Application

Author

Murat A. Dzhaubermezov, Natalia V. Ekomasova, Ongar S. Chagarov, Ekaterina A. Tokareva, Liliya R. Gabidullina, Zemfira R. Sufyanova, Irina M. Khidiyatova, and Elza K. Khusnutdinova

Subjects
pigmentation, melanin, udmurts, mordvins, iris, herc2, tyr, History (General), D1-2009, Oriental languages and literatures, PJ
Abstract

Introduction. The geographical feature of the Volga-Ural region is its location on the border of Europe and Asia, which, together with the proximity to the Caspian steppes, Ciscaucasia and Siberia, facilitated as the formation of many migration and trade routes connecting these regions in different historical periods, which in turn affected the ethnogenesis of the peoples of the region. Genetic features underlying the inheritance of human pigmentation features are the subject of active study by molecular and population geneticists. Goals. The work aims to study the distribution of alleles and genotypes of polymorphic variants rs12913832 of the HERC2 gene and rs1042602 of the TYR gene in the Mordvin and Udmurt populations. Materials and methods. The investigated material includes DNA isolated from the peripheral blood of Udmurts (N = 95) and Mordvins (N = 59). Blood sampling was performed after signing an informed consent to participate in the scientific study. A comparative analysis was conducted between the studied populations and populations of the world. Results. Our study revealы statistically significant differences (p≤0.05) in the distribution of allele frequencies and genotypes of polymorphic variants of rs12913832 of the HERC2 gene and rs1042602 of the TYR gene in the Mordvin and Udmurt populations. The results of the study are consistent with the data of anthropologists on the analyzed ethnic groups and are an important link in the study of the ethnogenesis of the Finno-Permian populations of Russia. Conclusions. These features of the distribution of allele frequencies of melanogenesis genes in the Mordvins and Udmurts should be taken into account in population genetic, ethnological, as well as in associative and pharmacogenetic studies.

Published
2024
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2. Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction

Author

Kristia Yiangou, Nasim Mavaddat, Joe Dennis, Maria Zanti, Qin Wang, Manjeet K. Bolla, Mustapha Abubakar, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Adinda Baten, Sabine Behrens, Marina Bermisheva, Amy Berrington de Gonzalez, Katarzyna Białkowska, Nicholas Boddicker, Clara Bodelon, Natalia V. Bogdanova, Stig E. Bojesen, Kristen D. Brantley, Hiltrud Brauch, Hermann Brenner, Nicola J. Camp, Federico Canzian, Jose E. Castelao, Melissa H. Cessna, Jenny Chang-Claude, Georgia Chenevix-Trench, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Alison M. Dunning, Diana M. Eccles, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Lin Fritschi, Manuela Gago-Dominguez, Aleksandra Gentry-Maharaj, Anna González-Neira, Pascal Guénel, Eric Hahnen, Christopher A. Haiman, Ute Hamann, Jaana M. Hartikainen, Vikki Ho, James Hodge, Antoinette Hollestelle, Ellen Honisch, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Sacha Howell, Anthony Howell, ABCTB Investigators, kConFab Investigators, Simona Jakovchevska, Anna Jakubowska, Helena Jernström, Nichola Johnson, Rudolf Kaaks, Elza K. Khusnutdinova, Cari M. Kitahara, Stella Koutros, Vessela N. Kristensen, James V. Lacey, Diether Lambrechts, Flavio Lejbkowicz, Annika Lindblom, Michael Lush, Arto Mannermaa, Dimitrios Mavroudis, Usha Menon, Rachel A. Murphy, Heli Nevanlinna, Nadia Obi, Kenneth Offit, Tjoung-Won Park-Simon, Alpa V. Patel, Cheng Peng, Paolo Peterlongo, Guillermo Pita, Dijana Plaseska-Karanfilska, Katri Pylkäs, Paolo Radice, Muhammad U. Rashid, Gad Rennert, Eleanor Roberts, Juan Rodriguez, Atocha Romero, Efraim H. Rosenberg, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Rita K. Schmutzler, Christopher G. Scott, Xiao-Ou Shu, Melissa C. Southey, Jennifer Stone, Jack A. Taylor, Lauren R. Teras, Irma van de Beek, Walter Willett, Robert Winqvist, Wei Zheng, Celine M. Vachon, Marjanka K. Schmidt, Per Hall, Robert J. MacInnis, Roger L. Milne, Paul D. P. Pharoah, Jacques Simard, Antonis C. Antoniou, Douglas F. Easton, and Kyriaki Michailidou

Subjects
Polygenic risk scores, Breast cancer, Risk prediction, Risk calibration, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background The 313-variant polygenic risk score (PRS313) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. Methods We explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank. The mean PRS was calculated by country in the BCAC dataset and by country of birth in the UK Biobank. We explored different approaches to reduce the observed heterogeneity in the mean PRS across the countries, and investigated the implications of the distribution variability in risk prediction. Results The mean PRS313 differed markedly across European countries, being highest in individuals from Greece and Italy and lowest in individuals from Ireland. Using the overall European PRS313 distribution to define risk categories, leads to overestimation and underestimation of risk in some individuals from these countries. Adjustment for principal components explained most of the observed heterogeneity in the mean PRS. The mean estimates derived when using an empirical Bayes approach were similar to the predicted means after principal component adjustment. Conclusions Our results demonstrate that PRS distribution differs even within European ancestry populations leading to underestimation or overestimation of risk in specific European countries, which could potentially influence clinical management of some individuals if is not appropriately accounted for. Population-specific PRS distributions may be used in breast cancer risk estimation to ensure predicted risks are correctly calibrated across risk categories.

Published
2024
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3. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author

Stefanie H. Mueller, Alvina G. Lai, Maria Valkovskaya, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang, Joe Dennis, Michael Lush, Zomoruda Abu-Ful, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Thais Baert, Laura E. Beane Freeman, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Hermann Brenner, Sara Y. Brucker, Saundra S. Buys, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Ji-Yeob Choi, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, CTS Consortium, Sten Cornelissen, Fergus J. Couch, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Laure Dossus, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Christoph Engel, D. Gareth Evans, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Manuela Gago-Dominguez, Yu-Tang Gao, Montserrat García-Closas, José A. García-Sáenz, Jeanine Genkinger, Aleksandra Gentry-Maharaj, Felix Grassmann, Pascal Guénel, Melanie Gündert, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Elaine F. Harkness, Patricia A. Harrington, Jaana M. Hartikainen, Mikael Hartman, Alexander Hein, Weang-Kee Ho, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Dezheng Huo, ABCTB Investigators, Hidemi Ito, Motoki Iwasaki, Anna Jakubowska, Wolfgang Janni, Esther M. John, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Daehee Kang, Elza K. Khusnutdinova, Sung-Won Kim, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, Katerina Kubelka-Sabit, Allison W. Kurian, Ava Kwong, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Martha Linet, Wing-Yee Lo, Jirong Long, Artitaya Lophatananon, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Usha Menon, Kenneth Muir, Rachel A. Murphy, Heli Nevanlinna, William G. Newman, Dieter Niederacher, Katie M. O’Brien, Nadia Obi, Kenneth Offit, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Sue K. Park, Alpa V. Patel, Achal Patel, Charles M. Perou, Julian Peto, Paul D. P. Pharoah, Dijana Plaseska-Karanfilska, Nadege Presneau, Brigitte Rack, Paolo Radice, Dhanya Ramachandran, Muhammad U. Rashid, Gad Rennert, Atocha Romero, Kathryn J. Ruddy, Matthias Ruebner, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Michael O. Schneider, Christopher Scott, Mitul Shah, Priyanka Sharma, Chen-Yang Shen, Xiao-Ou Shu, Jacques Simard, Harald Surowy, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Soo Hwang Teo, Lauren R. Teras, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Gabriela Torres-Mejía, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Joseph Vijai, Clarice R. Weinberg, Camilla Wendt, Robert Winqvist, Alicja Wolk, Anna H. Wu, Taiki Yamaji, Xiaohong R. Yang, Jyh-Cherng Yu, Wei Zheng, Argyrios Ziogas, Elad Ziv, Alison M. Dunning, Douglas F. Easton, Harry Hemingway, Ute Hamann, and Karoline B. Kuchenbaecker

Subjects
Breast cancer susceptibility, Diverse ancestry, Rare variants, Gene regulation, Genome-wide association study, Medicine, Genetics, QH426-470
Abstract

Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q

Published
2023
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