Prediction of Blood Lipid Phenotypes Using Obesity-Related Genetic Polymorphisms and Lifestyle Data in Subjects with Excessive Body Weight by Omar Ramos-Lopez, Jose I. Riezu-Boj, Fermin I. Milagro, Marta Cuervo, Leticia Goni, J. A. Martinez

“…Overall, 45 obesity-related genetic variants were associated with some of the studied blood lipids. …”
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Disorders of the central nervous system cognitive and mnestic functions in genetic arterial hypertension and with the use of beta-blockers of different generations by A. O. Svitlytskyi, A. A. Yehorov, O. V. Melnikova, T. A. Hrekova

“…To comparatively analyze the effect of β-blockers from different generations on cognitive and memory functional parameters of the central nervous system in rats with genetically determined hypertension. Materials and methods. …”
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Introduction and studying of the species polymorphism in the almond genetic diversity preserved at Krymsk Experiment Breeding Station of VIR in the prebreeding stage by I. S. Chepinoga

Subjects: “…genetic collection…”
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Genetic Variation of the DGAT1 gene in Dual-Purpose Dairy Cows and its Influence on Economically Important Breeding Traits by Mark E Armitage, Emma Swan, Denise O'Meara

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Shared genetic risk and causal associations between Post-traumatic stress disorder and migraine with antithrombotic agents and other medications by Charlotte K. Bainomugisa, Dagmar Bruenig, Heidi G. Sutherland, Lyn R. Griffiths, Dale R. Nyholt, Divya Mehta

“…There are proposed biological, genetic and environmental factors associated with both PTSD and migraine suggesting shared etiology. …”
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Identification and validation of depression-associated genetic variants in the UK Biobank cohort with transcriptome and DNA methylation analyses in independent cohorts by Muataz S. Lafta, Aleksandr V. Sokolov, Gull Rukh, Helgi B. Schiöth

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Additional Evidence for DDB2 T338M as a Genetic Risk Factor for Ocular Squamous Cell Carcinoma in Horses by Moriel H. Singer-Berk, Kelly E. Knickelbein, Zachary T. Lounsberry, Margo Crausaz, Savanna Vig, Nikhil Joshi, Monica Britton, Matthew L. Settles, Christopher M. Reilly, Ellison Bentley, Catherine Nunnery, Ann Dwyer, Mary E. Lassaline, Rebecca R. Bellone

“…Sixty polymorphisms were prioritized for evaluation, and no other variant from this locus explained the genetic risk better than the DDB2 allele (P=3.39×10−17, n=118). …”
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Comparison of phenotypic and genetic traits of ESBL-producing UPEC strains causing recurrent or single episode UTI in postmenopausal women by Michelle Kalu, Peter Jorth, Annie Wong-Beringer

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The Genetic Structure of Wild Orobanche cumana Wallr. (Orobanchaceae) Populations in Eastern Bulgaria Reflects Introgressions from Weedy Populations by Rocío Pineda-Martos, Antonio J. Pujadas-Salvà, José M. Fernández-Martínez, Kiril Stoyanov, Leonardo Velasco, Begoña Pérez-Vich

“…The objective of this research was to investigate genetic diversity, population structure, and virulence on sunflower of O. cumana populations parasitizing wild plants in eastern Bulgaria. …”
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Genetic Polymorphisms in the RAD51 Gene with a Risk of Head and Neck Cancer and Esophageal Cancer: A Meta-Analysis by Lin Li, Xue Zhang, Zhong-Ti Zhang

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Genetic diversity assessed in Ethiopian highland bamboo [Oldeania alpina (K. Schum) Stapleton] populations revealed by microsatellite markers by Muhamed Adem, Oumer Abdie, Tileye Feyissa, Dereje Beyene

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Inside the impulsive brain: a narrative review on the role of neurobiological, hormonal and genetic factors influencing impulsivity in psychiatric disorders by Hannah Raji, Susha Dinesh, Sameer Sharma

“…The nexus between impulsivity and substance use disorders emphasizes the intricate involvement of neurobiological, neurotransmitter, and genetic components, guiding targeted interventions. …”
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Genetic classification and geochemical evaluation of Upper Cretaceous carbonate reservoir oils in Dezful Embayment and Abadan Plain, SW Iran by Hossein Saadati, Ali Kadkhodaie, Mehrab Rashidi, Hossein Bahrami, Hashem Sarafdokht, Dmitriy A. Martyushev, Amir Abbass Jahangard

“…Abstract The Upper Cretaceous carbonate reservoir oils from the Abadan Plain and Dezful Embayment in southwest Iran underwent analysis utilizing GC, GC-MS, and stable carbon isotope methods to elucidate the regional genetic oil family distribution. The study encompassed oil-source rock correlation through biomarker and stable carbon isotope ratios of Sargelu, Garau, Kazhdumi, and Pabdeh rock extracts to assist in establishing the best relevant source rock. …”
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Early-life tobacco smoke elevating later-life osteoporosis risk: Mediated by telomere length and interplayed with genetic predisposition by Dongsheng Di, Haolong Zhou, Zhangbo Cui, Jianli Zhang, Qian Liu, Tingting Yuan, Tingting Zhou, Xiao Luo, Danyang Ling, Qi Wang

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The relationship between the genetic status of the Vrn-1 locus and the size of the root system in bread wheat (Triticum aestivum L.) by O. G. Smirnova, T. A. Pshenichnikova

“…Recently, with the use of introgression and isogenic lines of bread wheat, it was shown that this locus is involved in the genetic control of root length and weight both under irrigation and drought conditions. …”
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Enhancement of Electrical Parameter Extraction from Solar Cells Using a Hybrid Genetic Algorithm with the Levenberg-Marquardt Method by Herbazi Rachid, Amechnoue Khalid, Chahboun Adil

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Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population by Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi

Subjects: “…genetic polymorphism…”
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Analysis of genetic diversity in sesame (Sesamum indicum L.) germplasm lines based on agro-morphological traits and SSR markers by Md. Ashfaq1*, K. Jhansi Rani2, D. Padmaja3, Praduman Yadav4 and Usha Kiran Betha5

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Genetic investigation of patients with autosomal recessive ataxia and identification of two novel variants in the SQSTM1 and SYNE1 genes by Diana Mokhtari, Mohammad Jahanpanah, Nasim Jabbari, Hamed Azari, Sana Davarnia, Haleh Mokaber, Sara Arish, Rasol Molatefi, Vahid Abbasi, Behzad Davarnia

“…Therefore, comprehensive genetic testing is useful for identifying the genes responsible for ARCAs. …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Furthermore, by analyzing the features selected across multiple iterations of our models, we identified stable brain region features [lh 6r (FD) and rh 46 (GI)] and key genetic markers (rs356181 and rs2736990 SNPs within the SNCA gene region; rs213202 SNP within the VPS52 gene region), highlighting their potential as reliable early diagnostic indicators for the disease.ConclusionThe AE_Stacking model, trained on MRI and genetic data, demonstrates potential in distinguishing individuals with PD. …”
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