Incorporating non-baseline characters into genetic mixture analyses
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Incorporating non-baseline characters into genetic mixture analyses

Filetype[PDF-379.07 KB]



Details:

  • Journal Title:
    Fisheries Research
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    In a mixture of individuals from different populations, population proportions and individual identities are estimated by comparing the characteristics of individuals in the mixture to a (usually) genetic baseline of population-specific characteristics. Using simulated data sets, we examined the performance of a genetic mixture analysis that incorporated data on non-baseline character state frequencies. Population-specific state frequencies of non-baseline characters were well-estimated in many scenarios. We found benefits of incorporating non-baseline characters in mixture analysis; both individual assignments and estimates of population proportions were improved. However, both the sample size and the quality of the baseline data were more important. We did not see any improvement in estimating baseline character state frequencies even when highly informative non-baseline data was used. Our results suggest that non-baseline data might improve mixture analyses, and we note that population-specific estimates of non-baseline character state frequencies are often useful in and of themselves.
  • Keywords:
  • Source:
    Fisheries Research, 193, 217-222
  • DOI:
  • ISSN:
    0165-7836
  • Format:
  • Publisher:
  • Document Type:
  • Rights Information:
    Accepted Manuscript
  • Compliance:
    Library
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at repository.library.noaa.gov

Version 3.27.1