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Showing 1 - 20 of 57 Publications

2025

Psychiatric genetics in the diverse landscape of Latin American populations
Bruxel E, Rovaris D, Belangero S, Chavarría-Soley G, Cuellar-Barboza A, Martínez-Magaña J, Nagamatsu S, Nievergelt C, Núñez-Ríos D, Ota V, Peterson R, Sloofman L, Adams A, Albino E, Alvarado A, Andrade-Brito D, Arguello-Pascualli P, Bandeira C, Bau C, Bulik C, Buxbaum J, Cappi C, Corral-Frias N, Corrales A, Corsi-Zuelli F, Crowley J, Cupertino R, da Silva B, De Almeida S, De la Hoz J, Forero D, Fries G, Gelernter J, González-Giraldo Y, Grevet E, Grice D, Hernández-Garayua A, Hettema J, Ibáñez A, Ionita-Laza I, Lattig M, Lima Y, Lin Y, López-León S, Loureiro C, Martínez-Cerdeño V, Martínez-Levy G, Melin K, Moreno-De-Luca D, Muniz Carvalho C, Olivares A, Oliveira V, Ormond R, Palmer A, Panzenhagen A, Passos-Bueno M, Peng Q, Pérez-Palma E, Prieto M, Roussos P, Sanchez-Roige S, Santamaría-García H, Shansis F, Sharp R, Storch E, Tavares M, Tietz G, Torres-Hernández B, Tovo-Rodrigues L, Trelles P, Trujillo-ChiVacuan E, Velásquez M, Vera-Urbina F, Voloudakis G, Wegman-Ostrosky T, Zhen-Duan J, Zhou H, Santoro M, Nicolini H, Atkinson E, Giusti-Rodríguez P, Montalvo-Ortiz J. Psychiatric genetics in the diverse landscape of Latin American populations. Nature Genetics 2025, 57: 1074-1088. PMID: 40175716, PMCID: PMC12133068, DOI: 10.1038/s41588-025-02127-z.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Risk factors affecting polygenic score performance across diverse cohorts
Hui D, Dudek S, Kiryluk K, Walunas T, Kullo I, Wei W, Tiwari H, Peterson J, Chung W, Davis B, Khan A, Kottyan L, Limdi N, Feng Q, Puckelwartz M, Weng C, Smith J, Karlson E, Center R, BioBank P, Jarvik G, Ritchie M. Risk factors affecting polygenic score performance across diverse cohorts. ELife 2025, 12: rp88149. PMID: 39851248, PMCID: PMC11771958, DOI: 10.7554/elife.88149.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Risk factors affecting polygenic score performance across diverse cohorts
Hui D, Dudek S, Kiryluk K, Walunas T, Kullo I, Wei W, Tiwari H, Peterson J, Chung W, Davis B, Khan A, Kottyan L, Limdi N, Feng Q, Puckelwartz M, Weng C, Smith J, Karlson E, Jarvik G, Ritchie M. Risk factors affecting polygenic score performance across diverse cohorts. ELife 2025, 12 DOI: 10.7554/elife.88149.3.
Peer-Reviewed Original Research
Concepts
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
Consortium M, Adams M, Streit F, Meng X, Awasthi S, Adey B, Choi K, Chundru V, Coleman J, Ferwerda B, Foo J, Gerring Z, Giannakopoulou O, Gupta P, Hall A, Harder A, Howard D, Hübel C, Kwong A, Levey D, Mitchell B, Ni G, Ota V, Pain O, Pathak G, Schulte E, Shen X, Thorp J, Walker A, Yao S, Zeng J, Zvrskovec J, Aarsland D, Actkins K, Adli M, Agerbo E, Aichholzer M, Aiello A, Air T, Als T, Andersson E, Andlauer T, Arolt V, Ask H, Bäckman J, Badola S, Ballard C, Banasik K, Bass N, Beekman A, Belangero S, Bigdeli T, Binder E, Bjerkeset O, Bjornsdottir G, Børte S, Bränn E, Braun A, Brodersen T, Brückl T, Brunak S, Bruun M, Burmeister M, Buspavanich P, Bybjerg-Grauholm J, Byrne E, Cai J, Campbell A, Campbell M, Campos A, Castelao E, Cervilla J, Chaumette B, Chen C, Chen H, Chen Z, Cichon S, Colodro-Conde L, Corbett A, Corfield E, Couvy-Duchesne B, Craddock N, Dannlowski U, Davies G, de Geus E, Deary I, Degenhardt F, Dehghan A, DePaulo J, Deuschle M, Didriksen M, Dinh K, Direk N, Djurovic S, Docherty A, Domschke K, Dowsett J, Drange O, Dunn E, Eaton W, Einarsson G, Eley T, Elsheikh S, Engelmann J, Benros M, Erikstrup C, Escott-Price V, Fabbri C, Fang Y, Finer S, Frank J, Free R, Gallo L, Gao H, Gill M, Gilles M, Goes F, Gordon S, Grove J, Gudbjartsson D, Gutierrez B, Hahn T, Hall L, Hansen T, Haraldsson M, Hartman C, Havdahl A, Hayward C, Heilmann-Heimbach S, Herms S, Hickie I, Hjalgrim H, Hjerling-Leffler J, Hoffmann P, Homuth G, Horn C, Hottenga J, Hougaard D, Hovatta I, Huang Q, Hucks D, Huider F, Hunt K, Ialongo N, Ising M, Isometsä E, Jansen R, Jiang Y, Jones I, Jones L, Jonsson L, Kanai M, Karlsson R, Kasper S, Kendler K, Kessler R, Kloiber S, Knowles J, Koen N, Kraft J, Kranzler H, Krebs K, Kallak T, Kutalik Z, Lahtela E, Lake M, Larsen M, Lenze E, Lewins M, Lewis G, Li L, Lin B, Lin K, Lind P, Liu Y, MacIntyre D, MacKinnon D, Maher B, Maier W, Marshe V, Martinez-Levy G, Matsuda K, Mbarek H, McGuffin P, Medland S, Meinert S, Mikkelsen C, Mikkelsen S, Milaneschi Y, Millwood I, Molina E, Mondimore F, Mortensen P, Mulsant B, Naamanka J, Najman J, Nauck M, Nenadić I, Nielsen K, Nolt I, Nordentoft M, Nöthen M, Nyegaard M, O'Donovan M, Oddsson A, Oliveira A, Olsen C, Oskarsson H, Ostrowski S, Owen M, Packer R, Palviainen T, Pan P, Pato C, Pato M, Pedersen N, Pedersen O, Peyrot W, Potash J, Preisig M, Preuss M, Quiroz J, Renteria M, Reynolds C, Rice J, Sakaue S, Santoro M, Schoevers R, Schork A, Schulze T, Send T, Shi J, Sigurdsson E, Singh K, Sinnamon G, Sirignano L, Smeland O, Smith D, Sofer T, Sørensen E, Srinivasan S, Stefansson H, Stefansson K, Straub P, Su M, Tadic A, Teismann H, Teumer A, Thapar A, Thomson P, Thørner L, Topaloudi A, Tsai S, Tzoulaki I, Uhl G, Uitterlinden A, Ullum H, Umbricht D, Ursano R, Van der Auwera S, van Hemert A, Veluchamy A, Viktorin A, Völzke H, Walters G, Wang X, Wani A, Weissman M, Wellmann J, Whiteman D, Wildman D, Willemsen G, Williams A, Winsvold B, Witt S, Xiong Y, Zillich L, Zwart J, Team T, Group C, Team E, Team G, Psychiatry H, Project T, Program V, Andreassen O, Baune B, Berger K, Boomsma D, Børglum A, Breen G, Cai N, Coon H, Copeland W, Creese B, Cruz-Fuentes C, Czamara D, Davis L, Derks E, Domenici E, Elliott P, Forstner A, Gawlik M, Gelernter J, Grabe H, Hamilton S, Hveem K, John C, Kaprio J, Kircher T, Krebs M, Kuo P, Landén M, Lehto K, Levinson D, Li Q, Lieb K, Loos R, Lu Y, Lucae S, Luykx J, Maes H, Magnusson P, Martin H, Martin N, McQuillin A, Middeldorp C, Milani L, Mors O, Müller D, Müller-Myhsok B, Okada Y, Oldehinkel A, Paciga S, Palmer C, Paschou P, Penninx B, Perlis R, Peterson R, Pistis G, Polimanti R, Porteous D, Posthuma D, Rabinowitz J, Reichborn-Kjennerud T, Reif A, Rice F, Ricken R, Rietschel M, Rivera M, Rück C, Salum G, Schaefer C, Sen S, Serretti A, Skalkidou A, Smoller J, Stein D, Stein F, Stein M, Sullivan P, Tesli M, Thorgeirsson T, Tiemeier H, Timpson N, Uddin M, Uher R, van Heel D, Verweij K, Walters R, Wassertheil-Smoller S, Wendland J, Werge T, Zwinderman A, Kuchenbaecker K, Wray N, Ripke S, Lewis C, McIntosh A. Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies. Cell 2025, 188: 640-652.e9. PMID: 39814019, PMCID: PMC11829167, DOI: 10.1016/j.cell.2024.12.002.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Genetics of Depression
Levey D, Gelernter J. Genetics of Depression. 2025, 363-374. DOI: 10.1093/med/9780197640654.003.0028.
Peer-Reviewed Original Research
Concepts

2024

Evaluation of imputation performance of multiple reference panels in a Pakistani population
Xu J, Liu D, Hassan A, Genovese G, Cote A, Fennessy B, Cheng E, Charney A, Knowles J, Ayub M, Peterson R, Bigdeli T, Huckins L. Evaluation of imputation performance of multiple reference panels in a Pakistani population. Human Genetics And Genomics Advances 2024, 6: 100395. PMID: 39696820, PMCID: PMC11759560, DOI: 10.1016/j.xhgg.2024.100395.
Peer-Reviewed Original Research
Concepts
Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction
Braun A, Shekhar S, Levey D, Straub P, Kraft J, Panagiotaropoulou G, Heilbron K, Awasthi S, Meleka Hanna R, Hoffmann S, Stein M, Lehnerer S, Mergenthaler P, Elnahas A, Topaloudi A, Koromina M, Palviainen T, Asbjornsdottir B, Stefansson H, Skuladóttir A, Jónsdóttir I, Stefansson K, Reis K, Esko T, Palotie A, Leypoldt F, Stein M, Fontanillas P, Kaprio J, Gelernter J, Davis L, Paschou P, Tannemaat M, Verschuuren J, Kuhlenbäumer G, Gregersen P, Huijbers M, Stascheit F, Meisel A, Ripke S. Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction. Nature Communications 2024, 15: 9839. PMID: 39537604, PMCID: PMC11560923, DOI: 10.1038/s41467-024-53595-6.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
F95. LOCAL ANCESTRY-AWARE META-ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIES FOR ALCOHOL CONSUMPTION IN LATIN AMERICAN POPULATIONS
Martinez-Magana J, Atkinson E, Giusti-Rodriguez P, Santoro M, Wassertheil-Smoller S, Daviglus M, Perreira K, Nicolini H, Pereira A, Belangero S, Moyses-Oliveira M, Tucker K, Ordovas J, Villatoro-Velazquez J, Montalvo-Ortiz J. F95. LOCAL ANCESTRY-AWARE META-ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIES FOR ALCOHOL CONSUMPTION IN LATIN AMERICAN POPULATIONS. European Neuropsychopharmacology 2024, 87: 256. DOI: 10.1016/j.euroneuro.2024.08.506.
Peer-Reviewed Original Research
Concepts
Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies
Shyr D, Dey R, Li X, Zhou H, Boerwinkle E, Buyske S, Daly M, Gibbs R, Hall I, Matise T, Reeves C, Stitziel N, Zody M, Neale B, Lin X. Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies. American Journal Of Human Genetics 2024, 111: 2129-2138. PMID: 39270648, PMCID: PMC11480788, DOI: 10.1016/j.ajhg.2024.08.018.
Peer-Reviewed Original Research
Concepts
Copy-number variants differ in frequency across genetic ancestry groups
Schultz L, Knighton A, Huguet G, Saci Z, Jean-Louis M, Mollon J, Knowles E, Glahn D, Jacquemont S, Almasy L. Copy-number variants differ in frequency across genetic ancestry groups. Human Genetics And Genomics Advances 2024, 5: 100340. PMID: 39138864, PMCID: PMC11401192, DOI: 10.1016/j.xhgg.2024.100340.
Peer-Reviewed Original Research
Concepts
Folate metabolism and risk of childhood acute lymphoblastic leukemia: a genetic pathway analysis from the Childhood Cancer and Leukemia International Consortium
Metayer C, Spector L, Scheurer M, Jeon S, Scott R, Takagi M, Clavel J, Manabe A, Ma X, Hailu E, Lupo P, Urayama K, Bonaventure A, Kato M, Meirhaeghe A, Chiang C, Morimoto L, Wiemels J. Folate metabolism and risk of childhood acute lymphoblastic leukemia: a genetic pathway analysis from the Childhood Cancer and Leukemia International Consortium. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1248-1252. PMID: 38904462, PMCID: PMC11369612, DOI: 10.1158/1055-9965.epi-24-0189.
Peer-Reviewed Original Research
Concepts
Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry
Jiang L, Gangireddy S, Dickson A, Xin Y, Yan C, Kawai V, Cox N, Linton M, Wei W, Stein C, Feng Q. Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry. Journal Of Lipid Research 2024, 65: 100569. PMID: 38795861, PMCID: PMC11231545, DOI: 10.1016/j.jlr.2024.100569.
Peer-Reviewed Original Research
Concepts
Exploring the relationship between admixture and genetic susceptibility to attention deficit hyperactivity disorder in two Latin American cohorts
Garzón Rodríguez N, Briceño-Balcázar I, Nicolini H, Martínez-Magaña J, Genis-Mendoza A, Flores-Lázaro J, Villatoro Velázquez J, Bustos Gamiño M, Medina-Mora M, Quiroz-Padilla M. Exploring the relationship between admixture and genetic susceptibility to attention deficit hyperactivity disorder in two Latin American cohorts. Journal Of Human Genetics 2024, 69: 373-380. PMID: 38714835, PMCID: PMC11269173, DOI: 10.1038/s10038-024-01246-5.
Peer-Reviewed Original Research
Concepts
Circulating Proteins and IgA Nephropathy
Tang C, Chen P, Xu L, Lv J, Shi S, Zhou X, Liu L, Zhang H. Circulating Proteins and IgA Nephropathy. Journal Of The American Society Of Nephrology 2024, 35: 1045-1057. PMID: 38687828, PMCID: PMC11377805, DOI: 10.1681/asn.0000000000000379.
Peer-Reviewed Original Research
Concepts
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki K, Hatzikotoulas K, Southam L, Taylor H, Yin X, Lorenz K, Mandla R, Huerta-Chagoya A, Melloni G, Kanoni S, Rayner N, Bocher O, Arruda A, Sonehara K, Namba S, Lee S, Preuss M, Petty L, Schroeder P, Vanderwerff B, Kals M, Bragg F, Lin K, Guo X, Zhang W, Yao J, Kim Y, Graff M, Takeuchi F, Nano J, Lamri A, Nakatochi M, Moon S, Scott R, Cook J, Lee J, Pan I, Taliun D, Parra E, Chai J, Bielak L, Tabara Y, Hai Y, Thorleifsson G, Grarup N, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Kwak S, Long J, Sun M, Tong L, Chen W, Nongmaithem S, Noordam R, Lim V, Tam C, Joo Y, Chen C, Raffield L, Prins B, Nicolas A, Yanek L, Chen G, Brody J, Kabagambe E, An P, Xiang A, Choi H, Cade B, Tan J, Broadaway K, Williamson A, Kamali Z, Cui J, Thangam M, Adair L, Adeyemo A, Aguilar-Salinas C, Ahluwalia T, Anand S, Bertoni A, Bork-Jensen J, Brandslund I, Buchanan T, Burant C, Butterworth A, Canouil M, Chan J, Chang L, Chee M, Chen J, Chen S, Chen Y, Chen Z, Chuang L, Cushman M, Danesh J, Das S, de Silva H, Dedoussis G, Dimitrov L, Doumatey A, Du S, Duan Q, Eckardt K, Emery L, Evans D, Evans M, Fischer K, Floyd J, Ford I, Franco O, Frayling T, Freedman B, Genter P, Gerstein H, Giedraitis V, González-Villalpando C, González-Villalpando M, Gordon-Larsen P, Gross M, Guare L, Hackinger S, Hakaste L, Han S, Hattersley A, Herder C, Horikoshi M, Howard A, Hsueh W, Huang M, Huang W, Hung Y, Hwang M, Hwu C, Ichihara S, Ikram M, Ingelsson M, Islam M, Isono M, Jang H, Jasmine F, Jiang G, Jonas J, Jørgensen T, Kamanu F, Kandeel F, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton J, Kho A, Khor C, Kibriya M, Kim D, Kronenberg F, Kuusisto J, Läll K, Lange L, Lee K, Lee M, Lee N, Leong A, Li L, Li Y, Li-Gao R, Ligthart S, Lindgren C, Linneberg A, Liu C, Liu J, Locke A, Louie T, Luan J, Luk A, Luo X, Lv J, Lynch J, Lyssenko V, Maeda S, Mamakou V, Mansuri S, Matsuda K, Meitinger T, Melander O, Metspalu A, Mo H, Morris A, Moura F, Nadler J, Nalls M, Nayak U, Ntalla I, Okada Y, Orozco L, Patel S, Patil S, Pei P, Pereira M, Peters A, Pirie F, Polikowsky H, Porneala B, Prasad G, Rasmussen-Torvik L, Reiner A, Roden M, Rohde R, Roll K, Sabanayagam C, Sandow K, Sankareswaran A, Sattar N, Schönherr S, Shahriar M, Shen B, Shi J, Shin D, Shojima N, Smith J, So W, Stančáková A, Steinthorsdottir V, Stilp A, Strauch K, Taylor K, Thorand B, Thorsteinsdottir U, Tomlinson B, Tran T, Tsai F, Tuomilehto J, Tusie-Luna T, Udler M, Valladares-Salgado A, van Dam R, van Klinken J, Varma R, Wacher-Rodarte N, Wheeler E, Wickremasinghe A, van Dijk K, Witte D, Yajnik C, Yamamoto K, Yamamoto K, Yoon K, Yu C, Yuan J, Yusuf S, Zawistowski M, Zhang L, Zheng W, Raffel L, Igase M, Ipp E, Redline S, Cho Y, Lind L, Province M, Fornage M, Hanis C, Ingelsson E, Zonderman A, Psaty B, Wang Y, Rotimi C, Becker D, Matsuda F, Liu Y, Yokota M, Kardia S, Peyser P, Pankow J, Engert J, Bonnefond A, Froguel P, Wilson J, Sheu W, Wu J, Hayes M, Ma R, Wong T, Mook-Kanamori D, Tuomi T, Chandak G, Collins F, Bharadwaj D, Paré G, Sale M, Ahsan H, Motala A, Shu X, Park K, Jukema J, Cruz M, Chen Y, Rich S, McKean-Cowdin R, Grallert H, Cheng C, Ghanbari M, Tai E, Dupuis J, Kato N, Laakso M, Köttgen A, Koh W, Bowden D, Palmer C, Kooner J, Kooperberg C, Liu S, North K, Saleheen D, Hansen T, Pedersen O, Wareham N, Lee J, Kim B, Millwood I, Walters R, Stefansson K, Ahlqvist E, Goodarzi M, Mohlke K, Langenberg C, Haiman C, Loos R, Florez J, Rader D, Ritchie M, Zöllner S, Mägi R, Marston N, Ruff C, van Heel D, Finer S, Denny J, Yamauchi T, Kadowaki T, Chambers J, Ng M, Sim X, Below J, Tsao P, Chang K, McCarthy M, Meigs J, Mahajan A, Spracklen C, Mercader J, Boehnke M, Rotter J, Vujkovic M, Voight B, Morris A, Zeggini E. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature 2024, 627: 347-357. PMID: 38374256, PMCID: PMC10937372, DOI: 10.1038/s41586-024-07019-6.
Peer-Reviewed Original Research
MeSH Keywords and Concepts

2023

Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications
Levey D, Galimberti M, Deak J, Wendt F, Bhattacharya A, Koller D, Harrington K, Quaden R, Johnson E, Gupta P, Biradar M, Lam M, Cooke M, Rajagopal V, Empke S, Zhou H, Nunez Y, Kranzler H, Edenberg H, Agrawal A, Smoller J, Lencz T, Hougaard D, Børglum A, Demontis D, Gaziano J, Gandal M, Polimanti R, Stein M, Gelernter J. Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications. Nature Genetics 2023, 55: 2094-2103. PMID: 37985822, PMCID: PMC10703690, DOI: 10.1038/s41588-023-01563-z.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration
Austin-Zimmerman I, Levey D, Giannakopoulou O, Deak J, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse D, Gaziano J, Gottlieb D, Polimanti R, Stein M, Bramon E, Gelernter J. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nature Communications 2023, 14: 6059. PMID: 37770476, PMCID: PMC10539313, DOI: 10.1038/s41467-023-41249-y.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Genetic Variation and Sensory Perception of a Pediatric Formulation of Ibuprofen: Can a Medicine Taste Too Good for Some?
Mennella J, Kan M, Lowenthal E, Saraiva L, Mainland J, Himes B, Pepino M. Genetic Variation and Sensory Perception of a Pediatric Formulation of Ibuprofen: Can a Medicine Taste Too Good for Some? International Journal Of Molecular Sciences 2023, 24: 13050. PMID: 37685855, PMCID: PMC10487938, DOI: 10.3390/ijms241713050.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
LATE-NC risk alleles (in TMEM106B, GRN, and ABCC9 genes) among persons with African ancestry.
Katsumata Y, Fardo D, Shade L, Bowen J, Crane P, Jarvik G, Keene C, Larson E, McCormick W, McCurry S, Mukherjee S, Kowall N, McKee A, Honig R, Lawrence S, Vonsattel J, Williamson J, Small S, Burke J, Hulette C, Welsh-Bohmer K, Gearing M, Lah J, Levey A, Wingo T, Apostolova L, Farlow M, Ghetti B, Saykin A, Spina S, Albert M, Lyketsos C, Troncoso J, Frosch M, Green R, Growdon J, Hyman B, Tanzi R, Potter H, Dickson D, Ertekin-Taner N, Graff-Radford N, Parisi J, Petersen R, Duara R, Buxbaum J, Goate A, Sano M, Masurkar A, Wisniewski T, Bigio E, Mesulam M, Weintraub S, Vassar R, Kaye J, Quinn J, Woltjer R, Barnes L, Bennett D, Schneider J, Yu L, Henderson V, Fallon K, Harrell L, Marson D, Roberson E, DeCarli C, Jin L, Olichney J, Kim R, LaFerla F, Monuki E, Head E, Sultzer D, Geschwind D, Vinters H, Chesselet M, Galasko D, Brewer J, Boxer A, Karydas A, Kramer J, Miller B, Rosen H, Seeley W, Burns J, Swerdlow R, Abner E, Fardo D, Van Eldik L, Albin R, Lieberman A, Paulson H, Arnold S, Trojanowski J, Van Deerlin V, Hamilton R, Kamboh M, Lopez O, Becker J, Cao C, Raj A, Smith A, Chui H, Miller C, Ringman J, Schneider L, Bird T, Sonnen J, Yu C, Grabowski T, Peskind E, Raskind M, Li G, Tsuang D, Asthana S, Atwood C, Carlsson C, Sager M, Chin N, Craft S, Cairns N, Morris J, Cruchaga C, Strittmatter S, Reiman E, Beach T, Huentelman M, Hardy J, Myers A, Kauwe J, Hakonarson H, Blacker D, Montine T, Baldwin C, Farrer L, Jun G, Lunetta K, Bush W, Haines J, Lerner A, Zhou X, Barral S, Reitz C, Vardarajan B, Mayeux R, Beecham G, Carney R, Cuccaro M, Gilbert J, Hamilton-Nelson K, Kunkle B, Martin E, Pericak-Vance M, Vance J, Cantwell L, Kuzma A, Malamon J, Naj A, Qu L, Schellenberg G, Valladares O, Wang L, Zhao Y, Leverenz J, De Jager P, Evans D, Katz M, Lipton R, Boeve B, Allen M, Carrasquillo M, Younkin S, Kukull W, Faber K, Foroud T, Pavlik V, Massman P, Darby E, Rodriguear M, Khaleeq A, Royall D, Stevens A, Ory M, DeToledo J, Wilms H, Johnson K, Perez V, Hernandez M, Wilhelmsen K, Tilson J, Chasse S, Barber R, Fairchild T, O’Bryant S, Knebl J, Hall J, Johnson L, Mains D, Alvarez L, Gamboa A, Paydarfar D, Bertelson J, Woon M, Ayres G, Aguirre A, Palmer R, Polk M, Adams P, Huebinger R, Reisch J, Rosenberg R, Cullum M, Williams B, Quiceno M, Hynan L, Smith J, Davis B, Nguyen T, Rogaeva E, George-Hyslop P, Nelson P. LATE-NC risk alleles (in TMEM106B, GRN, and ABCC9 genes) among persons with African ancestry. Journal Of Neuropathology & Experimental Neurology 2023, 82: 760-768. PMID: 37528055, PMCID: PMC10440720, DOI: 10.1093/jnen/nlad059.
Peer-Reviewed Original Research
MeSH Keywords and Concepts
Efficient reconstruction of cell lineage trees for cell ancestry and cancer
Jang Y, Fasching L, Bae T, Tomasini L, Schreiner J, Szekely A, Fernandez T, Leckman J, Vaccarino F, Abyzov A. Efficient reconstruction of cell lineage trees for cell ancestry and cancer. Nucleic Acids Research 2023, 51: e57-e57. PMID: 37026484, PMCID: PMC10250207, DOI: 10.1093/nar/gkad254.
Peer-Reviewed Original Research
MeSH Keywords and Concepts

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