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Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies|August 4, 2012
Cerebral asymmetry: a quantitative, multifactorial, and plastic brain phenotypeMiguel E RenteríaMethods in Molecular Biology (Clifton, N.J.)|June 13, 2013
Using PLINK for Genome-Wide Association Studies (GWAS) and data analysisMiguel E Rentería, Adrian Cortes, Sarah E MedlandCurrent Opinion in Psychiatry|November 27, 2019
Genetic testing for Alzheimer's disease: trends, challenges and ethical considerationsMiguel E Rentería, Brittany L Mitchell, Amaranta Manrique de LaraEuropean Journal of Preventive Cardiology|January 7, 2023
Causal associations of sleep apnea, snoring with cardiovascular diseases, and the role of body mass index: a two-sample Mendelian randomization studyJiao Wang, Adrian I Campos, Miguel E Rentería, et al.Journal of Cellular Biochemistry|June 27, 2022
A supervised machine learning approach identifies gene-regulating factor-mediated competing endogenous RNA networks in hormone-dependent cancersDulari K Jayarathna, Miguel E Rentería, Jyotsna Batra, et al.Scientific Reports|February 10, 2023
Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancerDulari K Jayarathna, Miguel E Rentería, Jyotsna Batra, et al.Current Genetic Medicine Reports|November 30, 2023
Genetic, Social, and Lifestyle Drivers of Healthy Aging and LongevityPatricia Alejandra Castruita, Stefanie Danielle Piña-Escudero, Miguel E Rentería, et al.Sleep Advances : a Journal of the Sleep Research Society|March 13, 2026
Shared genetic architecture between Parkinson's disease and self-reported sleep-related traits implicates the <i>MAPT</i> locus on chromosome 17Aura Aguilar-Roldán, Natalia S Ogonowski, Miguel E Rentería, et al.Biology|October 23, 2021
Identifying Complex lncRNA/Pseudogene-miRNA-mRNA Crosstalk in Hormone-Dependent CancersDulari K Jayarathna, Miguel E Rentería, Emilie Sauret, et al.Plos One|November 8, 2008
A comparative structural bioinformatics analysis of the insulin receptor family ectodomain based on phylogenetic informationMiguel E Rentería, Neha S Gandhi, Pablo Vinuesa, et al.Pageof 12