Nuclear Multi‐Microsatellite Marker Profiling Provides Clues to Molecular Genetic Diversity in Culture‐Based Caspian Beluga Sturgeon (Huso huso) Brood Stocks: Ecological Mirror for... by Mehdi Moghim, Arash Javanmard, Faramarz Lolaei, Mohammad‐Javad Taghavi, Shima Bakhshalizadeh

“…It was revealed that LS19 (na = 16) and Afu54 (na = 3) exhibited the highest and lowest levels of polymorphisms, respectively, within the studied families. …”
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Alleles of Ppd-1 genes that control sensitivity to photoperiod in a number of bread winter wheat genotypes by А. О. Бакума, Г. О. Чеботар, А. В. Ткачук, С. В. Чеботар, Т. З. Москалець, В. В. Москалeць

“…The following methods were used in the work: DNA extraction, allele-specific PCR, agarose and polyacrylamide gel electrophoresis, analysis of variance. Results. It was revealed that ‘Yuvivata 60’ variety has a recessive Ppd-1 genotype and belongs to the III haplotype by a combination of mutations in the structure of Ppd-D1 gene. …”
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Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index. by Clive J Hoggart, Giulia Venturini, Massimo Mangino, Felicia Gomez, Giulia Ascari, Jing Hua Zhao, Alexander Teumer, Thomas W Winkler, Natalia Tšernikova, Jian'an Luan, Evelin Mihailov, Georg B Ehret, Weihua Zhang, David Lamparter, Tõnu Esko, Aurelien Macé, Sina Rüeger, Pierre-Yves Bochud, Matteo Barcella, Yves Dauvilliers, Beben Benyamin, David M Evans, Caroline Hayward, Mary F Lopez, Lude Franke, Alessia Russo, Iris M Heid, Erika Salvi, Sailaja Vendantam, Dan E Arking, Eric Boerwinkle, John C Chambers, Giovanni Fiorito, Harald Grallert, Simonetta Guarrera, Georg Homuth, Jennifer E Huffman, David Porteous, Generation Scotland Consortium, LifeLines Cohort study, GIANT Consortium, Darius Moradpour, Alex Iranzo, Johannes Hebebrand, John P Kemp, Gert J Lammers, Vincent Aubert, Markus H Heim, Nicholas G Martin, Grant W Montgomery, Rosa Peraita-Adrados, Joan Santamaria, Francesco Negro, Carsten O Schmidt, Robert A Scott, Tim D Spector, Konstantin Strauch, Henry Völzke, Nicholas J Wareham, Wei Yuan, Jordana T Bell, Aravinda Chakravarti, Jaspal S Kooner, Annette Peters, Giuseppe Matullo, Henri Wallaschofski, John B Whitfield, Fred Paccaud, Peter Vollenweider, Sven Bergmann, Jacques S Beckmann, Mehdi Tafti, Nicholas D Hastie, Daniele Cusi, Murielle Bochud, Timothy M Frayling, Andres Metspalu, Marjo-Riitta Jarvelin, André Scherag, George Davey Smith, Ingrid B Borecki, Valentin Rousson, Joel N Hirschhorn, Carlo Rivolta, Ruth J F Loos, Zoltán Kutalik

“…The phenotypic effect of some single nucleotide polymorphisms (SNPs) depends on their parental origin. …”
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Maternal smoking around birth is associated with an increased risk of offspring constipation: Evidence from a Mendelian randomization study by Yong Shen⁺, Siqi Xie⁺, Yu Lin⁺, Yifan Fang, Bing Zhang, Jinna Zhang

“…The analytical methods employed included the inverse-variance weighted (IVW) method, weighted median estimator, and MR-Egger regression. …”
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Causal effect of lipoprotein(a) level on chronic kidney disease of European ancestry: a two-sample Mendelian randomization study by Yunhui Zhu, Songzan Chen, Zhebin Chen, Yao Wang, Guosheng Fu, Wenbin Zhang

“…The estimates were computed using inverse-variance weighted (IVW), simple median, weighted median, and maximum likelihood. …”
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QTL mapping for yield contributing traits in mungbean (Vigna radiata L.) using a RIL population by Shashidhar B. Reddappa, Muralidhar S. Aski, Gyan P. Mishra, Soma Gupta, Kumbarahally M. Shivaprasad, Subodh K. Sinha, Ranjeet R. Kumar, Anirban Roy, Dwijesh C. Mishra, Shouvik Das, Prashant Anupama Mohan Pawar, Ramakrishnan Madhavan Nair, Harsh K. Dikshit

“…The Logarithm of Odds (LOD) scores for these QTLs ranged from ~ 3–9, while phenotypic variance explained (PVE) ranged from ~ 9–24%. Several candidate genes with mRNA expression and protein-altering mutations were identified as having a direct role in key processes like growth (LOC106756212, LOC106776425, LOC106777991), flowering (LOC106777903, LOC106768860), metabolism (LOC106757749, LOC106758189), etc. …”
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Host metabolites explain microbiome variation between different rice genotypes by Pin Su, Houxiang Kang, Qianze Peng, Weiye Peng, Shu’e Sun, Xiaohua Du, Chi Zhang, Ziling Lei, Lianyang Bai, Qianjun Tang, Yong Liu, Tomislav Cernava, Deyong Zhang

“…Redundancy analyses (RDA) showed that these metabolites can explain 35.6% of the variance in their microbiomes. Further verification experiments resulted in the identification of two M genes. …”
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Identification of microsatellites and their effect on economic traits of Texel × Kazakh sheep by Yang Cunming, Yang Cunming, Bin Li, Bin Li, Zhu Mengting, Yiming Sulaiman, Sangang He, Mingjun Liu

“…The population exhibited moderate observed heterozygosity (Ho = 0.610), high expected heterozygosity (He = 0.785), and substantial polymorphism (polymorphism information content, PIC = 0.759), indicating robust genetic diversity. …”
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Associations between dairy and alcohol consumption and major depressive disorder in a mendelian randomization study by Dan Qiu, Renjie Song, Xuejing Cao, Yucheng Tian, Xue Cheng, Dongqing Sun, Shaomin Cai, Zhaowei Wang, Weijia Zhang

“…Accordingly, this study employed the inverse variance weighting (IVW) method to evaluate the genetically predicted associations of different food phenotypes with MDD risk. …”
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Assessing causal associations between TNF-related apoptosis-inducing ligand, vascular endothelial growth factor and colon cancer: a Mendelian-randomization study by Chaoyang Zhang, Fangfang Zhang, Xiaofei Zheng, Chunhui Cao, Bei Qian, Chu Zhang, Jingyu Wu, Xiaoyu Shi, Jian Chen

“…Methods Genome-wide association studies (GWAS) of 21,758 individuals of European ancestry were conducted to identify single nucleotide polymorphisms (SNPs) associated with TRAIL/VEGF. MR-Egger regression, heterogeneity test, pleiotropy test and leave-one-out sensitivity tests were used for sensitivity analysis, in addition to inverse variance weighting (IVW) as the main Mendelian-randomization (MR) analysis method. …”
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Causal Inference of Different Smoke Exposure Statuses and Influenza Risk: Insights From a Mendelian Randomization Study by Yanqi Guo, Haixia Chen, Shijie Wu, Jiesen Zhou, Zhihua Chen

“…To ensure robust results, we employed multiplicative random‐effects inverse variance weighting, MR‐Egger, and weighted median (WM) methods to analyze single‐nucleotide polymorphisms (SNPs). …”
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Genome-wide association study of retinopathy in individuals without diabetes. by Richard A Jensen, Xueling Sim, Xiaohui Li, Mary Frances Cotch, M Kamran Ikram, Elizabeth G Holliday, Gudny Eiriksdottir, Tamara B Harris, Fridbert Jonasson, Barbara E K Klein, Lenore J Launer, Albert Vernon Smith, Eric Boerwinkle, Ning Cheung, Alex W Hewitt, Gerald Liew, Paul Mitchell, Jie Jin Wang, John Attia, Rodney Scott, Nicole L Glazer, Thomas Lumley, Barbara McKnight, Bruce M Psaty, Kent Taylor, Albert Hofman, Paulus T V M de Jong, Fernando Rivadeneira, Andre G Uitterlinden, Wan-Ting Tay, Yik Ying Teo, Mark Seielstad, Jianjun Liu, Ching-Yu Cheng, Seang-Mei Saw, Tin Aung, Santhi K Ganesh, Christopher J O'Donnell, Mike A Nalls, Kerri L Wiggins, Jane Z Kuo, Blue Mountains Eye Study GWAS Team, CKDGen Consortium, Cornelia M van Duijn, Vilmundur Gudnason, Ronald Klein, David S Siscovick, Jerome I Rotter, E Shong Tai, Johannes Vingerling, Tien Y Wong

“…We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy.…”
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Mendelian randomization study of lipid metabolites reveals causal associations with age-related macular degeneration by Miao Shui, Guoke Yang, Jiang Jiang, Sibo Wang, Rongfeng Liao

“…Data for AMD and lipid metabolites were sourced from the IEU GWAS database, covering over 209,000 cases and >16 million single nucleotide polymorphisms (SNPs). The MR analysis employed inverse-variance weighted (IVW), MR-Egger regression, and weighted median methods to estimate causal relationships and address potential pleiotropy and heterogeneity. …”
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Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis. by Elizabeth G Holliday, Albert V Smith, Belinda K Cornes, Gabriëlle H S Buitendijk, Richard A Jensen, Xueling Sim, Thor Aspelund, Tin Aung, Paul N Baird, Eric Boerwinkle, Ching Yu Cheng, Cornelia M van Duijn, Gudny Eiriksdottir, Vilmundur Gudnason, Tamara Harris, Alex W Hewitt, Michael Inouye, Fridbert Jonasson, Barbara E K Klein, Lenore Launer, Xiaohui Li, Gerald Liew, Thomas Lumley, Patrick McElduff, Barbara McKnight, Paul Mitchell, Bruce M Psaty, Elena Rochtchina, Jerome I Rotter, Rodney J Scott, Wanting Tay, Kent Taylor, Yik Ying Teo, André G Uitterlinden, Ananth Viswanathan, Sophia Xie, Wellcome Trust Case Control Consortium 2, Johannes R Vingerling, Caroline C W Klaver, E Shyong Tai, David Siscovick, Ronald Klein, Mary Frances Cotch, Tien Y Wong, John Attia, Jie Jin Wang

“…Genetic factors explain a majority of risk variance for age-related macular degeneration (AMD). …”
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Genome‐wide association studies on resistance to powdery mildew in cultivated emmer wheat by Dhondup Lhamo, Genqiao Li, George Song, Xuehui Li, Taner Z. Sen, Yong‐Qiang Gu, Xiangyang Xu, Steven S. Xu

“…To determine the genetic basis of Bgt resistance in the panel, genome‐wide association studies were performed using 46,383 single nucleotide polymorphisms (SNPs) from genotype‐by‐sequencing and 4331 SNPs from the 9K SNP Infinium array. …”
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Associations between the gut microbiota, immune cells, and different subtypes of epilepsy: A Mendelian randomization study by Xu Zhang, Zhenlin Yang, Jingjing Guo, Yuanxin Wei, Jinzi Li

“…Significantly associated single‐nucleotide polymorphism (SNP) loci were extracted as instrumental variables according to preset thresholds, with an inverse variance weighted (IVW) model being the main model. …”
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Genomic Analysis of Reproductive Trait Divergence in Duroc and Yorkshire Pigs: A Comparison of Mixed Models and Selective Sweep Detection by Changyi Chen, Yu He, Juan Ke, Xiaoran Zhang, Junwen Fei, Boxing Sun, Hao Sun, Chunyan Bai

“…The first principal component (PC1) was used as a simulated phenotype to capture population-level variance. Additive and dominant genetic effects were partitioned and evaluated by using the combination of the linear mixed models (LMM) and ADDO’s algorithm (LMM + ADDO). …”
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Genetically Predicted Serum 25‐Hydroxyvitamin D Concentrations in Related to Type 2 Diabetes Mellitus: A Mendelian Randomization Study by Jin Yang

“…Methods Single‐nucleotide polymorphisms (SNPs) linked to vitamin B6, vitamin B9, vitamin B12, vitamin C and 25(OH)D levels were used as instrumental variables (IVs) in this study. …”
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Causal Relationship Between the Abuse of Cholesterol‐Lowering Medication, Blood Pressure Medication, Insulin, and Exogenous Hormones and Cerebral Infarction by Jing Liu, Dongsheng Lv, Shiduo Li, Zhansen An, Zefeng He, Yingzi Liu

“…Methods for univariate MR analysis include inverse variance weighting (IVW), the weighted median method, and the MR‐Egger method, with IVW being the predominant approach. …”
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The Causal Role of Esophageal Cancer and Gut Microbiota: A Bidirectional Mendelian Randomization Study by Wei Su MD, Han Chen MD, Die Hu MD, Bixing Ye MD, PhD, Weifeng Zhang MD, Guoxin Zhang MD, PhD, Xinmin Si MD, PhD, Xiaoying Zhou MD, PhD

“…Reliable single nucleotide polymorphisms (SNPs) were obtained after rigorous screening. …”
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