2021
Genetics of substance use disorders in the era of big data
Gelernter J, Polimanti R. Genetics of substance use disorders in the era of big data. Nature Reviews Genetics 2021, 22: 712-729. PMID: 34211176, PMCID: PMC9210391, DOI: 10.1038/s41576-021-00377-1.Peer-Reviewed Original ResearchEpigenomic Profiles of African-American Transthyretin Val122Ile Carriers Reveals Putatively Dysregulated Amyloid Mechanisms
Pathak GA, Wendt FR, De Lillo A, Nunez YZ, Goswami A, De Angelis F, Fuciarelli M, Kranzler HR, Gelernter J, Polimanti R. Epigenomic Profiles of African-American Transthyretin Val122Ile Carriers Reveals Putatively Dysregulated Amyloid Mechanisms. Circulation Genomic And Precision Medicine 2021, 14: e003011. PMID: 33428857, PMCID: PMC7887108, DOI: 10.1161/circgen.120.003011.Peer-Reviewed Original ResearchAmyloidosisATP Binding Cassette Transporter 1Black or African AmericanDNA MethylationEpigenomicsGene Regulatory NetworksGenome-Wide Association StudyHeart DiseasesHumansKv1.6 Potassium ChannelPhosphoproteinsPolymorphism, Single NucleotidePrealbuminQuantitative Trait LociUbiquitin-Conjugating Enzymes
2020
Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis
De Lillo A, Pathak GA, De Angelis F, Di Girolamo M, Luigetti M, Sabatelli M, Perfetto F, Frusconi S, Manfellotto D, Fuciarelli M, Polimanti R. Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis. Clinical Epigenetics 2020, 12: 176. PMID: 33203445, PMCID: PMC7672937, DOI: 10.1186/s13148-020-00967-6.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesMethylation sitesEpigenetic differencesSignificant epigenetic differencesProtein interaction networksSignificant methylation changesAmyloidogenic mutationsDisease-causing mutationsProtein interactorsEpigenetic regulationHigh phenotypic variabilityEpigenetic profilingMethylation changesInteraction networksGene regionBiological processesMolecular mechanismsAssociation studiesMolecular pathwaysCoding mutationsPhenotypic variabilityNovel insightsGenesFiber formationMutations