Application of linear mixed models to study genetic stability of height and body mass index across countries and time.

Trzaskowski, Maciej; Lichtenstein, Paul; Magnusson, Patrik K; Pedersen, Nancy L; Plomin, Robert

Trzaskowski, Maciej; Lichtenstein, Paul; Magnusson, Patrik K; Pedersen, Nancy L; Plomin, Robert.

Afiliação

Trzaskowski M; King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK and maciej.trzaskowski@kcl.ac.uk.
Lichtenstein P; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
Magnusson PK; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
Pedersen NL; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
Plomin R; King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK and.

Int J Epidemiol ; 45(2): 417-423, 2016 04.

Article em En | MEDLINE | ID: mdl-26819444

Palavras-chave

BMI; GCTA; GREML; LD score regression; Unrelated samples; genetic stability; height; polygenic prediction; weight

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Epidemiol Ano de publicação: 2016 Tipo de documento: Article País de publicação: Reino Unido

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