Multiethnic polygenic risk scores improve risk prediction in diverse populations

Genetic Epidemiology

Volumn 41, Issue 8, 2017, Pages 811-823

  Márquez Luna, Carla ^a,c   Loh, Po Ru ^a,b   Price, Alkes L ^a,b   Kooner, Jaspal S ^c   Saleheen, Danish ^c   Sim, Xueling ^c   Sehmi, Joban ^c   Zhang, Weihua ^c   Frossard, Philippe ^c   Been, Latonya F ^c   Chia, Kee Seng ^c   Dimas, Antigone S ^c   Hassanali, Neelam ^c   Jafar, Tazeen ^c   Jowett, Jeremy B M ^c   Li, Xinzhing ^c   Radha, Venkatesan ^c   Rees, Simon D ^c   Takeuchi, Fumihiko ^c   Young, Robin ^c   Aung, Tin ^c   Basit, Abdul ^c   Chidambaram, Manickam ^c   Das, Debashish ^c   Grunberg, Elin ^c   Hedman, Asa K ^c   Hydrie, Zafar I ^c   Islam, Muhammed ^c   Khor, Chiea Chuen ^c   Kowlessur, Sudhir ^c   Kristensen, Malene M ^c   Liju, Samuel ^c   Lim, Wei Yen ^c   Matthews, David R ^c   Liu, Jianjun ^c   Morris, Andrew P ^c   Nica, Alexandra C ^c   Pinidiyapathirage, Janani M ^c   Prokopenko, Inga ^c   Rasheed, Asif ^c   Samuel, Maria ^c   Shah, Nabi ^c   Shera, A Samad ^c   Small, Kerrin S ^c   Suo, Chen ^c   Wickremasinghe, Ananda R ^c   Wong, Tien Yin ^c   Yang, Mingyu ^c   Zhang, Fan ^c   Abecasis, Goncalo R ^c   Barnett, Anthony H ^c   Caulfield, Mark ^c   Deloukas, Panos ^c   Frayling, Tim ^c   Froguel, Philippe ^c   Kato, Norihiro ^c   Katulanda, Prasad ^c   Kelly, M Ann ^c   Liang, Junbin ^c   Sanghera, Dharambir K ^c   Scott, James ^c   Seielstad, Mark ^c   Zimmet, Paul Z ^c   Elliott, Paul ^c   Teo, Yik Ying ^c   McCarthy, Mark I ^c   Danesh, John ^c   Tai, E Shyong ^c   Chambers, John C ^c   Williams, Amy L ^c   Jacobs, Suzanne B R ^c   MorenoMacías, Hortensia ^c   Huerta Chagoya, Alicia ^c   Churchouse, Claire ^c   García Ortíz, Humberto ^c   GómezVázquez, María José ^c   Ripke, Stephan ^c   Manning, Alisa K ^c   Neale, Benjamin ^c   Reich, David ^c   Stram, Daniel O ^c   Fernández López, Juan Carlos ^c   Patterson, Nick ^c   Churchhouse, Claire ^c   Gopal, Shuba ^c   Grammatikos, James A ^c   Smith, Ian C ^c   Bullock, Kevin H ^c   Deik, Amy A ^c   Souza, Amanda L ^c   Pierce, Kerry A ^c   Clish, Clary B ^c   Martínez Hernández, Angélica ^c   Barajas Olmos, Francisco ^c   Centeno Cruz, Federico ^c   MendozaCaamal, Elvia ^c   Contreras Cubas, Cecilia ^c   Revilla Monsalve, Cristina ^c   Islas Andrade, Sergio ^c   Córdova, Emilio ^c   Soberón, Xavier ^c   González Villalpando, María Elena ^c   Henderson, Brian E ^c   Monroe, Kristine ^c   Wilkens, Lynne ^c   Kolonel, Laurence N ^c   Le Marchand, Loic ^c   Riba, Laura ^c   OrdóñezSánchez, María Luisa ^c   Rodríguez Guillén, Rosario ^c   Cruz Bautista, Ivette ^c   Rodríguez Torres, Maribel ^c   Muñoz Hernández, Linda Liliana ^c   Gómez, Donají ^c   Alvirde, Ulises ^c   Arellano, Olimpia ^c   Onofrio, Robert C ^c   Brodeur, Wendy M ^c   Gage, Diane ^c   Murphy, Jacquelyn ^c   Franklin, Jennifer ^c   Mahan, Scott ^c   Ardlie, Kristin ^c   Crenshaw, Andrew T ^c   Winckler, Wendy ^c   Cortes, Maria L ^c   Burtt, Noël P ^c   Aguilar Salinas, Carlos A ^c   González Villalpando, Clicerio ^c   Florez, Jose C ^c   Orozco, Lorena ^c   Haiman, Christopher A ^c   Tusié Luna, Teresa ^c   Altshuler, David ^c   more..

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^c NONE

Author keywords

genome wide association study; height; polygenic prediction; type 2 diabetes

Indexed keywords

ACCURACY; ALLELE; AMERICAN INDIAN; ARTICLE; BODY HEIGHT; CONTROLLED STUDY; ETHNIC DIFFERENCE; ETHNICITY; EUROPEAN; GENETIC RISK; GENOME-WIDE ASSOCIATION STUDY; HISPANIC; HUMAN; INTERMETHOD COMPARISON; MULTIETHNIC POLYGENIC RISK SCORE; MULTIFACTORIAL INHERITANCE; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; SAMPLE SIZE; SCORING SYSTEM; SIMULATION; SOUTH ASIAN; BIOLOGICAL MODEL; COHORT ANALYSIS; ETHNIC GROUP; GENETICS; GENOTYPE; PATHOLOGY; PHENOTYPE; RISK FACTOR; SINGLE NUCLEOTIDE POLYMORPHISM;

ALLELES; COHORT STUDIES; DIABETES MELLITUS, TYPE 2; ETHNIC GROUPS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HISPANIC AMERICANS; HUMANS; MODELS, GENETIC; MULTIFACTORIAL INHERITANCE; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK FACTORS;

EID: 85034867548     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.22083     Document Type: Article

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