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Mendelian imputation of parental genotypes improves estimates of direct genetic effects.
Young, Alexander I; Nehzati, Seyed Moeen; Benonisdottir, Stefania; Okbay, Aysu; Jayashankar, Hariharan; Lee, Chanwook; Cesarini, David; Benjamin, Daniel J; Turley, Patrick; Kong, Augustine.
Afiliación
  • Young AI; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. alextisyoung@gmail.com.
  • Nehzati SM; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA. alextisyoung@gmail.com.
  • Benonisdottir S; UCLA Anderson School of Management, Los Angeles, CA, USA. alextisyoung@gmail.com.
  • Okbay A; Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA. alextisyoung@gmail.com.
  • Jayashankar H; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
  • Lee C; UCLA Anderson School of Management, Los Angeles, CA, USA.
  • Cesarini D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Benjamin DJ; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Turley P; National Bureau of Economic Research, Cambridge, MA, USA.
  • Kong A; Department of Economics, Harvard University, Cambridge, MA, USA.
Nat Genet ; 54(6): 897-905, 2022 06.
Article en En | MEDLINE | ID: mdl-35681053
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Estudio de Asociación del Genoma Completo Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Estudio de Asociación del Genoma Completo Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido