2024
23. GENOME-WIDE ASSOCIATION STUDIES OF BINGE-EATING BEHAVIOUR AND ANOREXIA NERVOSA YIELD INSIGHTS INTO THE UNIQUE AND SHARED BIOLOGY OF EATING DISORDER PHENOTYPES
Huckins L, Termorshuizen J, Davies H, Lee S, Johnson J, Munn-Chernoff M, Thornton L, Källberg J, Bulik C, Breen G, Coleman J. 23. GENOME-WIDE ASSOCIATION STUDIES OF BINGE-EATING BEHAVIOUR AND ANOREXIA NERVOSA YIELD INSIGHTS INTO THE UNIQUE AND SHARED BIOLOGY OF EATING DISORDER PHENOTYPES. European Neuropsychopharmacology 2024, 87: 60. DOI: 10.1016/j.euroneuro.2024.08.137.Peer-Reviewed Original ResearchGenome-wide association studiesIdentification of novel lociGenome-wide association study meta-analysisGenetic correlationsEating Disorders Working GroupBinge-eating behaviorNovel lociGenome-wideGenomic lociAssociation studiesLociGenetic componentEating disorder phenotypesPhenotypeEarly onset obesityBE phenotypeSevere early onset obesityDisorder phenotypesTrans-diagnosticAN subtypesAN-BPAN-RAN-R.Eating disordersBinge-eating/purgingShared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis
Lu Z, Ploner A, Birgegård A, Adan R, Alfredsson L, Ando T, Andreassen O, Baker J, Bergen A, Berrettini W, Birgegård A, Boden J, Boehm I, Perica V, Brandt H, Breen G, Bryois J, Buehren K, Bulik C, Burghardt R, Cassina M, Cichon S, Coleman J, Cone R, Courtet P, Crawford S, Crow S, Crowley J, Danner U, Davis O, de Zwaan M, Dedoussis G, DeSocio J, Dick D, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan L, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández-Aranda F, Fischer K, Föcker M, Foretova L, Forstner A, Forzan M, Franklin C, Gallinger S, Giegling I, Giusti-Rodríguez P, Gonidakis F, Gordon S, Gorwood P, Mayora M, Grove J, Guillaume S, Guo Y, Hakonarson H, Halmi K, Hanscombe K, Hatzikotoulas K, Hauser J, Hebebrand J, Helder S, Herms S, Herpertz-Dahlmann B, Herzog W, Hinney A, Horwood L, Hübel C, Huckins L, Hudson J, Imgart H, Inoko H, Janout V, Jiménez-Murcia S, Johnson C, Jordan J, Julià A, Kalsi G, Kaminská D, Kaplan A, Kaprio J, Karhunen L, Karwautz A, Kas M, Kaye W, Kennedy J, Kennedy M, Keski-Rahkonen A, Kiezebrink K, Kim Y, Klareskog L, Klump K, Landén M, Larsen J, Le Hellard S, Leppä V, Li D, Lichtenstein P, Lilenfeld L, Lin B, Lissowska J, Luykx J, Maj M, Marsal S, Martin N, Mattheisen M, Mattingsdal M, Medland S, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Mitchell J, Monteleone A, Monteleone P, Mortensen P, Munn-Chernoff M, Nacmias B, Navratilova M, Ntalla I, Olsen C, Ophoff R, Padyukov L, Pantel J, Papezova H, Parker R, Pearson J, Pedersen N, Petersen L, Pinto D, Purves K, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ripke S, Ritschel F, Roberts M, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer S, Schmidt U, Schork N, Schosser A, Seitz J, Slachtova L, Slagboom P, Landt M, Slopien A, Sorbi S, Strober M, Sullivan P, Świątkowska B, Szatkiewicz J, Tenconi E, Thornton L, Tortorella A, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, van Elburg A, van Furth E, Wade T, Wagner G, Watson H, Werge T, Whiteman D, Widen E, Woodside D, Yao S, Yilmaz Z, Zeggini E, Zerwas S, Zipfel S, Breen G, Bulik C, Bulik C, Bergen S. Shared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis. Schizophrenia Bulletin 2024, 50: 1255-1265. PMID: 38848516, PMCID: PMC11349005, DOI: 10.1093/schbul/sbae087.Peer-Reviewed Original ResearchPolygenic overlapConditional/conjunctional false discovery rateGenome-wide association studiesGenome-wide analysisConcordant effect directionsProportion of variantsNovel lociFalse discovery rateFunctional annotationGenetic architectureGenetic enrichmentAssociation studiesMultiple genesSynapse organizationMendelian randomization analysisGenetic associationCo-aggregationLociGenetic componentGenetic etiologyAnorexia nervosaFamilial co-aggregationDiscovery rateGenetic factorsRandomization analysis
2019
Genetic analyses of diverse populations improves discovery for complex traits
Wojcik G, Graff M, Nishimura K, Tao R, Haessler J, Gignoux C, Highland H, Patel Y, Sorokin E, Avery C, Belbin G, Bien S, Cheng I, Cullina S, Hodonsky C, Hu Y, Huckins L, Jeff J, Justice A, Kocarnik J, Lim U, Lin B, Lu Y, Nelson S, Park S, Poisner H, Preuss M, Richard M, Schurmann C, Setiawan V, Sockell A, Vahi K, Verbanck M, Vishnu A, Walker R, Young K, Zubair N, Acuña-Alonso V, Ambite J, Barnes K, Boerwinkle E, Bottinger E, Bustamante C, Caberto C, Canizales-Quinteros S, Conomos M, Deelman E, Do R, Doheny K, Fernández-Rhodes L, Fornage M, Hailu B, Heiss G, Henn B, Hindorff L, Jackson R, Laurie C, Laurie C, Li Y, Lin D, Moreno-Estrada A, Nadkarni G, Norman P, Pooler L, Reiner A, Romm J, Sabatti C, Sandoval K, Sheng X, Stahl E, Stram D, Thornton T, Wassel C, Wilkens L, Winkler C, Yoneyama S, Buyske S, Haiman C, Kooperberg C, Le Marchand L, Loos R, Matise T, North K, Peters U, Kenny E, Carlson C. Genetic analyses of diverse populations improves discovery for complex traits. Nature 2019, 570: 514-518. PMID: 31217584, PMCID: PMC6785182, DOI: 10.1038/s41586-019-1310-4.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesComplex traitsBiology of complex traitsDiverse populationsEvidence of effect-size heterogeneityGenome-wide effortsLarge-scale genomic studiesReduce health disparitiesNon-European individualsHighest burden of diseaseMulti-ethnic participantsEffect-size heterogeneityBurden of diseaseRepresentation of diverse populationsGWAS associationsNovel lociRisk prediction scoreAdmixed populationsFine-mappingGenetic architectureAssociation studiesGenomic studiesHealth disparitiesHealthcare disparitiesPopulation ArchitectureGenetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes
Drange O, Smeland O, Shadrin A, Finseth P, Witoelar A, Frei O, Group P, Wang Y, Hassani S, Djurovic S, Dale A, Andreassen O, Stahl E, Breen G, Forstner A, McQuillin A, Ripke S, Trubetskoy V, Mattheisen M, Wang Y, Coleman J, Gaspar H, de Leeuw C, Steinberg S, Pavlides J, Trzaskowski M, Pers T, Holmans P, Abbott L, Agerbo E, Akil H, Albani D, Alliey-Rodriguez N, Als T, Anjorin A, Antilla V, Awasthi S, Badner J, Bækvad-Hansen M, Barchas J, Bass N, Bauer M, Belliveau R, Bergen S, Pedersen C, Bøen E, Boks M, Boocock J, Budde M, Bunney W, Burmeister M, Bybjerg-Grauholm J, Byerley W, Casas M, Cerrato F, Cervantes P, Chambert K, Charney A, Chen D, Churchhouse C, Clarke T, Coryell W, Craig D, Cruceanu C, Curtis D, Czerski P, Dale A, de Jong S, Degenhardt F, Del-Favero J, DePaulo J, Djurovic S, Dobbyn A, Dumont A, Elvsåshagen T, Escott-Price V, Fan C, Fischer S, Flickinger M, Foroud T, Forty L, Frank J, Fraser C, Freimer N, Friseìn L, Gade K, Gage D, Garnham J, Giambartolomei C, Pedersen M, Goldstein J, Gordon S, Gordon-Smith K, Green E, Green M, Greenwood T, Grove J, Guan W, Parra J, Hamshere M, Hautzinger M, Heilbronner U, Herms S, Hipolito M, Hoffmann P, Holland D, Huckins L, Jamain S, Johnson J, Jureìus A, Kandaswamy R, Karlsson R, Kennedy J, Kittel-Schneider S, Knott S, Knowles J, Kogevinas M, Koller A, Kupka R, Lavebratt C, Lawrence J, Lawson W, Leber M, Lee P, Levy S, Li J, Liu C, Lucae S, Maaser A, MacIntyre D, Mahon P, Maier W, Martinsson L, McCarroll S, McGuffin P, McInnis M, McKay J, Medeiros H, Medland S, Meng F, Milani L, Montgomery G, Morris D, Mühleisen T, Mullins N, Nguyen H, Nievergelt C, Adolfsson A, Nwulia E, O’Donovan C, Loohuis L, Ori A, Oruc L, Ösby U, Perlis R, Perry A, Pfennig A, Potash J, Purcell S, Regeer E, Reif A, Reinbold C, Rice J, Rivas F, Rivera M, Roussos P, Ruderfer D, Ryu E, Saìnchez-Mora C, Schatzberg A, Scheftner W, Schork N, Weickert C, Shehktman T, Shilling P, Sigurdsson E, Slaney C, Smeland O, Sobell J, Hansen C, Spijker A, St Clair D, Steffens M, Strauss J, Streit F, Strohmaier J, Szelinger S, Thompson R, Thorgeirsson T, Treutlein J, Vedder H, Wang W, Watson S, Weickert T, Witt S, Xi S, Xu W, Young A, Zandi P, Zhang P, Zollner S, Adolfsson R, Agartz I, Alda M, Backlund L, Baune B, Bellivier F, Berrettini W, Biernacka J, Blackwood D, Boehnke M, Børglum A, Corvin A, Craddock N, Daly M, Dannlowski U, Esko T, Etain B, Frye M, Fullerton J, Gershon E, Gill M, Goes F, Grigoroiu-Serbanescu M, Hauser J, Hougaard D, Hultman C, Jones I, Jones L, Kahn R, Kirov G, Landeìn M, Leboyer M, Lewis C, Li Q, Lissowska J, Martin N, Mayoral F, McElroy S, McIntosh A, McMahon F, Melle I, Metspalu A, Mitchell P, Morken G, Mors O, Mortensen P, Müller-Myhsok B, Myers R, Neale B, Nimgaonkar V, Nordentoft M, Nöthen M, O’Donovan M, Oedegaard K, Owen M, Paciga S, Pato C, Pato M, Posthuma D, Ramos-Quiroga J, Ribaseìs M, Rietschel M, Rouleau G, Schalling M, Schofield P, Schulze T, Serretti A, Smoller J, Stefansson H, Stefansson K, Stordal E, Sullivan P, Turecki G, Vaaler A, Vieta E, Vincent J, Werge T, Nurnberger J, Wray N, Di Florio A, Edenberg H, Cichon S, Ophoff R, Scott L, Andreassen O, Kelsoe J, Sklar P. Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers In Neuroscience 2019, 13: 220. PMID: 30930738, PMCID: PMC6425305, DOI: 10.3389/fnins.2019.00220.Peer-Reviewed Original ResearchCommon genetic variantsNovel lociGenetic variantsGenetic overlapPolygenic overlapGenome-wide associationNovel genomic lociNumerous common genetic variantsGenomic lociComplex traitsWide associationGenesLociInternational GenomicsGenetic originTraitsAlzheimer's diseaseImplicatingVariantsGenomicsOverlapBipolar disorderDistinct featuresFurther studies