4.0 Article

The Genetic Overlap Between Hair and Eye Color

期刊

TWIN RESEARCH AND HUMAN GENETICS
卷 19, 期 6, 页码 595-599

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/thg.2016.85

关键词

physical characteristics; population stratification; genetic correlation; hair color; eye color

资金

  1. China Scholarship Council [201206180099]
  2. Netherlands Organization for Scientific Research [NWO: 016-115-035, 463-06-001, 451-04-034]
  3. ZonMW [31160008, 911-09-032]
  4. Institute for Health and Care Research (EMGO+)
  5. Neuroscience Campus Amsterdam (NCA)
  6. Biomolecular Resources Research Infrastructure (BBMRI-NL) [184.021.007]
  7. European Research Council [ERC-230374]
  8. Biobanking and Biomolecular Resources Research Infrastructure [BBMRI-NL: 184.021.007]
  9. Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health
  10. Rutgers University Cell and DNA Repository [NIMH U24 MH068457-06]
  11. Avera Institute, Sioux Falls (USA)
  12. National Institutes of Health [NIH R01 HD042157-01A1, MH081802, 1RC2 MH089951, 1RC2 MH089995]
  13. [NWO/SPI 56-464-14192]

向作者/读者索取更多资源

We identified the genetic variants for eye color by Genome-Wide Association Study (GWAS) in a Dutch Caucasian family-based population sample and examined the genetic correlation between hair and eye color using data from unrelated participants from the Netherlands Twin Register. With the Genome-wide Complex Trait Analysis software package, we found strong genetic correlations between various combinations of hair and eye colors. The strongest positive correlations were found for blue eyes with blond hair (0.87) and brown eyes with dark hair (0.71), whereas blue eyes with dark hair and brown eyes with blond hair showed the strongest negative correlations (-0.64 and -0.94, respectively). Red hair with green/hazel eyes showed the weakest correlation (-0.14). All analyses were corrected for age and sex, and we explored the effects of correcting for principal components (PCs) that represent ancestry and describe the genetic stratification of the Netherlands. When including the first three PCs as covariates, the genetic correlations between the phenotypes disappeared. This is not unexpected since hair and eye colors strongly indicate the ancestry of an individual. This makes it difficult to separate the effects of population stratification and the true genetic effects of variants on these particular phenotypes.

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