Genetic variability antioxidant activity of blood plasma in urban population (Seversk) of Tomsk region by A. V. Marusin, V. P. Puzyryov, V. B. Salyukov, E. Yu. Bragina

“…AOA was defined on the ability of a blood plasma to reduce an output of products, reacting with thiobarbituric acid in the model system «lecithine-Fe2 +-ions». Polymorphism of gastrointestinal glutathione peroxidase (GPX2) gene (two-allelic dinucleotide (TC)n repeat polymorphism) was investigated in 208 individuals. …”
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Global stock structure of the Silky shark (Carcharhinus falciformis, Carcharhinidae) assessed with high-throughput DNA sequencing by Derek W. Kraft, Emily E. Conklin, Evan B. Freel, Melanie Hutchinson, Julia L.Y. Spaet, Robert J. Toonen, Zac H. Forsman, Michael I. Grant, John David Filmalter, John R. Hyde, Simon J.B. Gulak, Brian W. Bowen

“…Using an analysis of molecular variance (AMOVA) framework, 22.24% of the observed population variance is explained by RFMOs, 32.1% is explained among ocean basins, and 34.81% is explained by the DAPC-identified groups. …”
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Genome-wide association mapping of net form net blotch resistance in barley at seedling and adult plant stages by Sajid Rehman, Sajid Rehman, Muamar Al-Jaboobi, Ramesh Pal Singh Verma, Ramesh Pal Singh Verma, Miguel Sanchez Garcia, Andrea Visioni

“…Seedling stage QTLs together explained 40% of the genetic variance for seedling resistance to Ptt isolate Ptt40-3, and 69% for isolate Ptt45-3, whereas the genetic variance of the QTLs for adult plant stage resistance ranged from 35% to 85%. …”
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Study on the characteristics of genetic diversity and population structure of a rare and endangered species of Rhododendron nymphaeoides (Ericaceae) based on microsatellite markers by Jun Luo, Xiaoyong Dai, Jin Chen, He Shuang, Congjun Yuan, Dali Luo

“…Analysis of molecular variance (AMOVA) indicated that the main source of molecular variance exists within populations (73%), rather than between populations (27%). …”
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Contribution of genetics to hematopoietic stem cell mobilization: a genome-wide association study of 564 healthy donors mobilized with granulocyte colony-stimulating factor by Miriam Stenzinger, Susanne Beck, Iordanis Ourailidis, Anna-Lena Volckmar, Nagarajan Paramasivam, Aysel Ahadova, Aitzkoa Lopez de Lapuente Portilla, Phuong La Yen, Bjorn Nilsson, Justo Lorenzo Bermejo, Halvard Bonig, Jan Budczies

“…Focused analysis of 11 variants previously shown to be associated with basal CD34+ cell levels confirmed an association of CXCR4-rs11688530 (A>G) and ARHGAP45-rs36084354 (A>G) with higher CD34+ frequency in G-CSF mobilized healthy donors showing an explained variance of 1.07% (p=0.004) and 0.86% (p=0.01), respectively. …”
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First evidence on the causal association between green tea and gastrointestinal health: a two sample mendelian randomization study by Zhixiong Jiang, Renlan Li, Yi Li

“…Leveraging data from the UK Biobank and FinnGen database, instrumental variants were selected from single-nucleotide-polymorphisms associated with green tea intake. The inverse-variance-weighted method served as the primary analytical approach. …”
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Identifying the genetic determinants of transcription factor activity by Eunjee Lee, Harmen J Bussemaker

“…Currently, only a tiny fraction of this genetic variance can be mechanistically accounted for. The influence of trans‐acting polymorphisms on gene expression traits is often mediated by transcription factors (TFs). …”
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Immunoinformatic-driven design and evaluation of multi-epitope mRNA vaccine targeting HIV-1 gp120 by Muhammad Zeeshan Ahmed, Muhammad Zeeshan Ahmed, Tazeen Rao, Zeeshan Mutahir, Sarfraz Ahmed, Najeeb Ullah, Suvash Chandra Ojha

“…The endeavor to devise an HIV vaccine capable of eliciting robust and broadly cross-reactive humoral and cellular immune responses is a formidable undertaking, primarily due to the pronounced genetic heterogeneity of HIV-1, the variances observed in virus subtypes (clades) across distinct geographic regions, and the polymorphic nature of human leukocyte antigens (HLA). …”
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The relationship between bipolar disorder and breast cancer: a two-sample Mendelian randomization study by MA Tingting, ZHAO Xiaoli, GUO Xiaolong, FAN Chunling, ZHANG Yinfang, CAO Juan, SONG Peng, FAN Jingchun

“…The inverse-variance weighting (IVW) method served as the primary research approach, while MR Egger, weighted median estimator, and weighted mode were employed as supplementary methods. …”
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Different Intensities of Physical Activity and Risk of Male Genital Cancers: Exploring Potential Causal Relationships by Kexin Zhen, Lei Huo, Tao Zhu, Ya Li

“…The main analysis method used was the inverse variance weighted (IVW) method for two-sample MR analysis. …”
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Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. by Maggie C Y Ng, Daniel Shriner, Brian H Chen, Jiang Li, Wei-Min Chen, Xiuqing Guo, Jiankang Liu, Suzette J Bielinski, Lisa R Yanek, Michael A Nalls, Mary E Comeau, Laura J Rasmussen-Torvik, Richard A Jensen, Daniel S Evans, Yan V Sun, Ping An, Sanjay R Patel, Yingchang Lu, Jirong Long, Loren L Armstrong, Lynne Wagenknecht, Lingyao Yang, Beverly M Snively, Nicholette D Palmer, Poorva Mudgal, Carl D Langefeld, Keith L Keene, Barry I Freedman, Josyf C Mychaleckyj, Uma Nayak, Leslie J Raffel, Mark O Goodarzi, Y-D Ida Chen, Herman A Taylor, Adolfo Correa, Mario Sims, David Couper, James S Pankow, Eric Boerwinkle, Adebowale Adeyemo, Ayo Doumatey, Guanjie Chen, Rasika A Mathias, Dhananjay Vaidya, Andrew B Singleton, Alan B Zonderman, Robert P Igo, John R Sedor, FIND Consortium, Edmond K Kabagambe, David S Siscovick, Barbara McKnight, Kenneth Rice, Yongmei Liu, Wen-Chi Hsueh, Wei Zhao, Lawrence F Bielak, Aldi Kraja, Michael A Province, Erwin P Bottinger, Omri Gottesman, Qiuyin Cai, Wei Zheng, William J Blot, William L Lowe, Jennifer A Pacheco, Dana C Crawford, eMERGE Consortium, DIAGRAM Consortium, Elin Grundberg, MuTHER Consortium, Stephen S Rich, M Geoffrey Hayes, Xiao-Ou Shu, Ruth J F Loos, Ingrid B Borecki, Patricia A Peyser, Steven R Cummings, Bruce M Psaty, Myriam Fornage, Sudha K Iyengar, Michele K Evans, Diane M Becker, W H Linda Kao, James G Wilson, Jerome I Rotter, Michèle M Sale, Simin Liu, Charles N Rotimi, Donald W Bowden, MEta-analysis of type 2 DIabetes in African Americans Consortium

“…Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. …”
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TREM-1 SNP rs2234246 regulates TREM-1 protein and mRNA levels and is associated with plasma levels of L-selectin. by Alex-Ander Aldasoro Arguinano, Sébastien Dadé, Maria Stathopoulou, Marc Derive, Ndeye Coumba Ndiaye, Ting Xie, Christine Masson, Sébastien Gibot, Sophie Visvikis-Siest

“…Furthermore, we aimed to point out associations between polymorphisms on TREM-1 and blood levels of selectins. …”
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Dissecting causal relationships between immune cells, blood metabolites, and aortic dissection: A mediation Mendelian randomization study by Ao Li, ZiAn Feng, ShiHao Fu, ZhenXiao Ma, HaiYang Zhang, ZhiWei Zhao

“…Conclusions: These findings offer a nuanced understanding of the pathophysiological mechanisms underlying AD, thereby advancing the precision medicine paradigm in the clinical management of AD.Abbreviations: AD: aortic dissection; AA: aortic aneurysm; GWAS: genome-wide association study; MR: Mendelian randomization; TSMR: two-step Mendelian randomization; Treg: secreting T regulatory cell; VSMC: vascular smooth muscle cell; MMP: matrix metalloproteinase; ROS: reactive oxygen species; IV: instrumental variable; SNP: single-nucleotide polymorphism; IVW: inverse variance weighted; LDSC: linkage disequilibrium score regression; OR: odds ratio; CI: confidence interval; LD: linkage disequilibrium; AC: absolute cell; MFI: median fluorescence intensity; MP: morphological parameter; RC: relative cell; CLSA: Canadian Longitudinal Study of Aging; Lp(a): Lipoprotein a; OxPL: oxidised phospholipid; NMDAR: N-methyl-d-aspartate glutamate receptor; STROBE-MR: Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomization.…”
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From Lawn to Health: Understanding the Prostate Cancer Risk in Light DIY Activities by Rui Yang, Xiguang Zhang, Chen Chen, Ya Li, Jun Yin

“…The primary analysis was conducted using the inverse-variance weighted (IVW) method for two-sample MR analysis. …”
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Assessing the Causal Association Between COVID-19 and Graves Disease: Mendelian Randomization Study by Hui Nian, Yu Bai, Hua Yu

“…We used stringent single nucleotide polymorphism selection criteria and various MR methodologies, including inverse-variance weighting, MR-Egger, and weighted median analyses, to assess causal relationships. …”
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Heavy DIY Activities as a Potential Preventative for Stress Urinary Incontinence by Kai Liu, Xiaogang Lian, Ting Wang, Zhu Tao

“…We selected single nucleotide polymorphisms associated with physical activity from published genome-wide association studies (GWAS). …”
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Causal relationship between sleep duration and attention deficit hyperactivity disorder：a two⁃sample Mendelian randomization study by DU Yuhan*，LIANG Jiahao，SONG Mingze，WANG Hai

“…<b>Methods</b> Genome-wide association study（GWAS）datasets for sleep duration（ukb-b-4424）and ADHD（ieu-a-1183）were downloaded，and 48 single nucleotide polymorphisms（SNPs）were selected as instrumental variables（IVs）. …”
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Exploration of the Causal Roles of Immune Cells and Inflammatory Proteins in Aortic Dissection via Mendelian Randomization by Yueye Chen, Ye Chen, Jingyu Zhu, Jamol Uzokov, Yuemeng Li, Jingming Feng, Ayumi Aurea Miyakawa, Kun Liu, Yanshuo Han

“…Single-nucleotide polymorphisms were used as instrumental variables, and analyses were conducted with inverse variance weighting and sensitivity tests to ensure robustness. …”
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The CFTR Met 470 allele is associated with lower birth rates in fertile men from a population isolate. by Gülüm Kosova, Joseph K Pickrell, Joanna L Kelley, Patrick F McArdle, Alan R Shuldiner, Mark Abney, Carole Ober

“…Here, we studied the fertility effects of three CBAVD-associated CFTR polymorphisms, the (TG)m and polyT repeat polymorphisms in intron 8 and Met470Val in exon 10, in healthy men of European descent. …”
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Accuracy of predicting the genetic risk of disease using a genome-wide approach. by Hans D Daetwyler, Beatriz Villanueva, John A Woolliams

“…While predicting risk has been successful in diseases which follow simple Mendelian inheritance, it has proven challenging in complex diseases for which a large number of loci contribute to the genetic variance. The large numbers of single nucleotide polymorphisms now available provide new opportunities for predicting genetic risk of complex diseases with high accuracy.…”
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