2021
Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example
Hatoum AS, Wendt FR, Galimberti M, Polimanti R, Neale B, Kranzler HR, Gelernter J, Edenberg HJ, Agrawal A. Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug And Alcohol Dependence 2021, 229: 109115. PMID: 34710714, PMCID: PMC9358969, DOI: 10.1016/j.drugalcdep.2021.109115.Peer-Reviewed Original ResearchConceptsGenome-wide significant variantsCandidate gene predictionGenetic predictionRandom SNPsPolygenic traitRandom phenotypeCandidate SNPsSimulated phenotypesPsychiatric geneticsGenetic machineSignificant variantsBinary phenotypesCandidate variantsSNPsAncestryPhenotypeAllele frequenciesVariantsMachine learning modelsGenetic testsLearning modelCross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank
De Lillo A, D'Antona S, Pathak GA, Wendt FR, De Angelis F, Fuciarelli M, Polimanti R. Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. Human Molecular Genetics 2021, 30: 1457-1467. PMID: 33890984, PMCID: PMC8283210, DOI: 10.1093/hmg/ddab114.Peer-Reviewed Original ResearchConceptsGWS associationsHeterogeneous lociGenome-wide association studiesEuropean populationsAncestry-specific effectsAllele frequenciesWide significant associationsPhenome-wide analysisAncestry groupsComplex traitsLD variationPhenotypic classesAssociation studiesUK BiobankMapping variantsLociConcordant effectsCentral/South AsianAncestryWorldwide populationTraitsAsian ancestryDiscordant effectsSouth Asian ancestryEuropean descent
2011
Human GST Loci as Markers of Evolutionary Forces: GSTO1*E155del and GSTO1*E208K Polymorphisms May Be Under Natural Selection Induced by Environmental Arsenic
Polimanti R, Piacentini S, De Angelis F, De Stefano G, Fuciarelli M. Human GST Loci as Markers of Evolutionary Forces: GSTO1*E155del and GSTO1*E208K Polymorphisms May Be Under Natural Selection Induced by Environmental Arsenic. Disease Markers 2011, 31: 231-239. DOI: 10.1155/2011/124169.Peer-Reviewed Original ResearchGST genesPopulation demographic historyGlutatione S-transferasesAllele frequenciesEvolutionary forcesDemographic historyNatural selectionSelective pressureNull phenotypeNeutral polymorphismsPopulation relationshipsHapMap dataS-transferaseGST SNPsGST lociEnvironmental arsenicGenesWorldwide populationPCR-RFLP methodAfrican populationsPolymorphism
2000
Human GST Loci as Markers of Evolutionary Forces: GSTO1*E155del and GSTO1*E208K Polymorphisms May Be Under Natural Selection Induced by Environmental Arsenic
Polimanti R, Piacentini S, De Angelis F, De Stefano GF, Fuciarelli M. Human GST Loci as Markers of Evolutionary Forces: GSTO1*E155del and GSTO1*E208K Polymorphisms May Be Under Natural Selection Induced by Environmental Arsenic. Disease Markers 2000, 31: 231-239. PMID: 22045430, PMCID: PMC3826775, DOI: 10.3233/dma-2011-0821.Peer-Reviewed Original ResearchMeSH KeywordsArsenicBiotransformationBlack PeopleEcuadorEnvironmental ExposureEnvironmental PollutantsEvolution, MolecularGene FrequencyGene-Environment InteractionGenetic MarkersGenotypeGlutathione TransferaseHumansIndians, South AmericanLinkage DisequilibriumMalePolymorphism, Single NucleotideSelection, GeneticConceptsGST genesPopulation demographic historyGlutatione S-transferasesAllele frequenciesEvolutionary forcesDemographic historyNatural selectionSelective pressureNull phenotypeNeutral polymorphismsPopulation relationshipsHapMap dataS-transferaseGST SNPsGST lociEnvironmental arsenicGenesWorldwide populationPCR-RFLP methodAfrican populationsPolymorphism