Correlation-based tests for the formal comparison of polygenic scores in multiple populations. by Sophia Gunn, Kathryn L Lunetta

“…Polygenic scores (PGS) are measures of genetic risk, derived from the results of genome wide association studies (GWAS). …”
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Risk factors affecting polygenic score performance across diverse cohorts by Daniel Hui, Scott Dudek, Krzysztof Kiryluk, Theresa L Walunas, Iftikhar J Kullo, Wei-Qi Wei, Hemant Tiwari, Josh F Peterson, Wendy K Chung, Brittney H Davis, Atlas Khan, Leah C Kottyan, Nita A Limdi, Qiping Feng, Megan J Puckelwartz, Chunhua Weng, Johanna L Smith, Elizabeth W Karlson, Regeneron Genetics Center, Penn Medicine BioBank, Gail P Jarvik, Marylyn D Ritchie

Subjects: “…polygenic scores…”
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Enhancing the utility of polygenic scores in Alzheimer’s disease through systematic curation and annotation by Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, Zhongming Zhao, Zhongming Zhao

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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

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Ultra-processed food intake, genetic polymorphisms, and the risk of dyslipidemia in the adult Korean population by Minsu Cho, Heejin Lee, Jung Eun Lee

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The Genetics of Partnership Dissolution by Ruth Eva Jørgensen, Rosa Cheesman, Ole A. Andreassen, Torkild Hovde Lyngstad

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Dissociable genetic influences on eye movements during abstract versus naturalistic social scene viewing in infancy by Ana Maria Portugal, Mark J. Taylor, Kristiina Tammimies, Angelica Ronald, Terje Falck-Ytter

“…Heritability for face looking was moderate (h 2 = 0.19, 95% CI 0.03 to 0.34), and no familial influences were found for motion looking. Exploratory polygenic score analyses revealed no significant associations with fixation measures. …”
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Genetic markers and predictive model for individual differences in countermovement jump enhancement after resistance training by Tao Mei, Xiaoxia Li, Yanchun Li, Xiaolin Yang, Liang Li, Zihong He

“…CMJ height change was used to assess changes in power and subjected to Genome-Wide Association Analysis (GWAS) against genotypes. Employing Polygenic Score (PGS) calculations and stepwise linear regression, a predictive model for training effects was constructed. …”
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The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults by Hehua Zhang, Yong Feng, Honghao Yang, Yuqian Li, Zheng Ma, Liuxin Li, Liangkai Chen, Yuhong Zhao, Lishen Shan, Yang Xia

“…This study aims to explore significant interact on the risk of incident asthma in adult exist between GMA and PM2.5 exposure based on a prospective cohort of UK Biobank. Polygenic score of GMA was calculated using 19 distinct single nucleotide polymorphisms. …”
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Severe COVID-19 disease is associated with genetic factors affecting plasma ACE2 receptor and CRP concentrations by Verena Vogi, David Haschka, Lukas Forer, Simon Schwendinger, Verena Petzer, Stefan Coassin, Ivan Tancevski, Thomas Sonnweber, Judith Löffler-Ragg, Elisabeth Puchhammer-Stöckl, Marianne Graninger, Dominik Wolf, Florian Kronenberg, Johannes Zschocke, Emina Jukic, Günter Weiss

“…The innovative approach of polygenic scores to investigate genetic factors in COVID-19 severity should provide a comprehensive approach beyond single-gene studies. …”
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Leveraging haplotype information in heritability estimation and polygenic prediction by Jonas Meisner, Michael Eriksen Benros, Simon Rasmussen

“…Reference-free estimators of polygenic scores are instead based on genomic best linear unbiased predictions and model the population of interest directly. …”
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Autism common variants associated with white matter alterations at birth: cross-sectional fixel-based analyses of 221 European term-born neonates from the developing human connecto... by Hai Le, Alexandra F. Bonthrone, Alena Uus, Daphna Fenchel, Alexandra Lautarescu, Konstantina Dimitrakopoulou, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell, Lucilio Cordero-Grande, Daan Christiaens, Dafnis Batalle, Maximilian Pietsch, Anthony N. Price, Hamel Patel, Charles Curtis, Harriet Cullen, Maria Deprez, Jacques-Donald Tournier

“…By employing advanced regional and whole-brain fixel-based analysis, the current study investigated the association between autism polygenic scores (PS) and WM microscopic fibre density and macrostructural morphology in 221 term-born infants of European ancestry from the developing Human Connectome Project. …”
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Systematic assessment of COVID-19 host genetics using whole genome sequencing data. by Axel Schmidt, Nicolas Casadei, Fabian Brand, German Demidov, Elaheh Vojgani, Ayda Abolhassani, Rana Aldisi, Guillaume Butler-Laporte, DeCOI host genetics group, T Madhusankha Alawathurage, Max Augustin, Robert Bals, Carla Bellinghausen, Marc Moritz Berger, Michael Bitzer, Christian Bode, Jannik Boos, Thorsten Brenner, Oliver A Cornely, Thomas Eggermann, Johanna Erber, Torsten Feldt, Christian Fuchsberger, Julien Gagneur, Siri Göpel, Tobias Haack, Helene Häberle, Frank Hanses, Julia Heggemann, Ute Hehr, Johannes C Hellmuth, Christian Herr, Anke Hinney, Per Hoffmann, Thomas Illig, Björn-Erik Ole Jensen, Verena Keitel, Sarah Kim-Hellmuth, Philipp Koehler, Ingo Kurth, Anna-Lisa Lanz, Eicke Latz, Clara Lehmann, Tom Luedde, Carlo Maj, Michael Mian, Abigail Miller, Maximilian Muenchhoff, Isabell Pink, Ulrike Protzer, Hana Rohn, Jan Rybniker, Federica Scaggiante, Anna Schaffeldt, Clemens Scherer, Maximilian Schieck, Susanne V Schmidt, Philipp Schommers, Christoph D Spinner, Maria J G T Vehreschild, Thirumalaisamy P Velavan, Sonja Volland, Sibylle Wilfling, Christof Winter, J Brent Richards, DeCOI, André Heimbach, Kerstin Becker, Stephan Ossowski, Joachim L Schultze, Peter Nürnberg, Markus M Nöthen, Susanne Motameny, Michael Nothnagel, Olaf Riess, Eva C Schulte, Kerstin U Ludwig

“…Case-control analyses of more common variants confirmed associations with previously reported risk loci, with the key locus at 3p21 reaching genome-wide significance. Polygenic scores accurately captured risk in an age-dependent manner. …”
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Integrated Transcriptome Analysis Reveals Novel Molecular Signatures for Schizophrenia Characterization by Tong Ni, Yu Sun, Zefeng Li, Tao Tan, Wei Han, Miao Li, Li Zhu, Jing Xiao, Huiying Wang, Wenpei Zhang, Yitian Ma, Biao Wang, Di Wen, Teng Chen, Justin Tubbs, Xiaofeng Zeng, Jiangwei Yan, Hongsheng Gui, Pak Sham, Fanglin Guan

“…The biological relevance of these DREGs is examined through protein–protein interaction network, pathway enrichment, polygenic scoring, and brain tissue expression. Key DREGs are validated in SCZ animal models. …”
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Genetic predisposition to altered blood cell homeostasis is associated with glioma risk and survival by Linda Kachuri, Geno A. Guerra, Taishi Nakase, George A. Wendt, Helen M. Hansen, Annette M. Molinaro, Paige Bracci, Lucie McCoy, Terri Rice, John K. Wiencke, Jeanette E. Eckel-Passow, Robert B. Jenkins, Margaret Wrensch, Stephen S. Francis

“…Considering survival, we observe higher mortality risk in patients with IDHmut 1p/19q with genetically predicted increased counts of lymphocytes (hazard ratio (HR) = 1.65, 95% CI: 1.24–2.20), neutrophils (HR = 1.49, 1.13–1.97), and eosinophils (HR = 1.59, 1.18–2.14). Polygenic scores for blood cell traits are also differentially associated with 17 tumor immune microenvironment features in a subtype-specific manner, including signatures related to interferon signaling, PD-1 expression, and T-cell/Cytotoxic responses. …”
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