2024
Genomic insights into the comorbidity between type 2 diabetes and schizophrenia
Arruda A, Khandaker G, Morris A, Smith G, Huckins L, Zeggini E. Genomic insights into the comorbidity between type 2 diabetes and schizophrenia. Schizophrenia 2024, 10: 22. PMID: 38383672, PMCID: PMC10881980, DOI: 10.1038/s41537-024-00445-5.Peer-Reviewed Original ResearchBody mass indexType 2 diabetesType 2 diabetes riskEffect of body mass indexPutative effector genesN-methyl-D-aspartatePublic health challengeIncreased body mass indexLipid-related pathwaysRisk-increasing effectMulti-omics dataMendelian randomizationPotential causal relationshipGene expression studiesDirection of effectMental healthDrug repurposing opportunitiesAssociation signalsGenomic lociGenomic insightsHealth challengesEffector genesGenetic liabilityMass indexExpression studies
2022
Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study
Xu J, Johnson JS, Signer R, Consortium E, Birgegård A, Jordan J, Kennedy MA, Landén M, Maguire SL, Martin NG, Mortensen PB, Petersen LV, Thornton LM, Bulik CM, Huckins LM. Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study. The Lancet Digital Health 2022, 4: e604-e614. PMID: 35780037, PMCID: PMC9612590, DOI: 10.1016/s2589-7500(22)00099-1.Peer-Reviewed Original ResearchConceptsElectronic health recordsPolygenic risk scoresWeight trajectoriesDepression polygenic risk scoresObesity polygenic risk scoresHealth recordsWeight changeUK BiobankIndividual health statusLower disease riskGenetic associationPatient populationUS National InstitutesWeight managementStable weightRisk scoreHealthy populationHealth statusAnorexia nervosaBioMe BiobankDisease riskDisorder diagnosisMental healthWeight lossPhenome-wide association study