Comparison of Twin and Extended Pedigree Designs for Obtaining Heritability Estimates
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  • 作者:Anna R. Docherty ; William S. Kremen ; Matthew S. Panizzon…
  • 关键词:Twin design ; Pedigree design ; Power ; Heritability ; Simulation
  • 刊名:Behavior Genetics
  • 出版年:2015
  • 出版时间:July 2015
  • 年:2015
  • 卷:45
  • 期:4
  • 页码:461-466
  • 全文大小:359 KB
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  • 作者单位:Anna R. Docherty (1)
    William S. Kremen (2) (3)
    Matthew S. Panizzon (2)
    Elizabeth C. Prom-Wormley (1)
    Carol E. Franz (2)
    Michael J. Lyons (4)
    Lindon J. Eaves (1)
    Michael C. Neale (1)

    1. Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23219, USA
    2. Department of Psychiatry, Center for Behavioral Genomics, University of California, San Diego, La Jolla, CA, 92093, USA
    3. Center of Excellence for Stress and Mental Health, Veterans Affairs Health Care System, San Diego, CA, 92093, USA
    4. Department of Psychology, Boston University, Boston, MA, 02215, USA
  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Biomedicine
    Human Genetics
    Neurosciences
    Evolutionary Biology
  • 出版者:Springer Netherlands
  • ISSN:1573-3297
文摘
This study explores power assumptions relating to extended pedigree designs (EPD) and classical twin designs (CTD). We conducted statistical analyses to compare the power of the two designs for examining neuroimaging phenotypes, varying heritability and varying whether shared environmental variance is fixed or free. Results indicated that CTDs have more power to estimate heritability, with the exception of one condition: in EPDs, the power increases relative to CTDs when shared environmental variance contributes to sibling similarity only. We additionally show that assuming a priori that shared environmental effects play no role in a phenotype—as is commonly done in pedigree designs—can lead to substantially biased heritability estimates. General results indicate that both CTDs and EPDs obtain quite precise heritability estimates. Finally, we discuss methodological considerations relating to assumptions about age effects and shared environment.

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