2023
Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
Hatoum A, Colbert S, Johnson E, Huggett S, Deak J, Pathak G, Jennings M, Paul S, Karcher N, Hansen I, Baranger D, Edwards A, Grotzinger A, Tucker-Drob E, Kranzler H, Davis L, Sanchez-Roige S, Polimanti R, Gelernter J, Edenberg H, Bogdan R, Agrawal A. Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nature Mental Health 2023, 1: 210-223. PMID: 37250466, PMCID: PMC10217792, DOI: 10.1038/s44220-023-00034-y.Peer-Reviewed Original ResearchGenome-wide associationGenetic risk lociIndependent single nucleotide polymorphismsProblematic tobacco useSingle nucleotide polymorphismsRisk lociHigh polygenicityLociReceptor geneAddiction risk factorsPolygenic risk scoresEuropean descentPolygenicityGenesSummary statisticsSubstance use disordersSomatic conditionsAncestryRegulationConfersUse disordersPolymorphismGenetic liabilityDopamine regulationPDE4B
2020
Characterizing the effect of background selection on the polygenicity of brain-related traits
Wendt FR, Pathak GA, Overstreet C, Tylee DS, Gelernter J, Atkinson EG, Polimanti R. Characterizing the effect of background selection on the polygenicity of brain-related traits. Genomics 2020, 113: 111-119. PMID: 33278486, PMCID: PMC7855394, DOI: 10.1016/j.ygeno.2020.11.032.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesBrain-related traitsGWAS of schizophreniaTrait-associated lociLocus effect sizesSubset of traitsGenotype networksGenetic architectureIntolerant regionsBrain-related phenotypesBackground selectionNatural selectionEvolutionary pressurePositive selectionSNP heritabilityLocal ancestryAssociation studiesTraitsFunctional significanceLociPolygenicityBinary annotationPhenotypeRisk allelesSize variance