ESTIMATION OF THE COANCESTRY COEFFICIENT: BASIS FOR A SHORT-TERM GENETIC DISTANCE

Clicks: 1
ID: 291303
1983
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #210 of 320 articles by views in current genetics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 320 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
ABSTRACT A distance measure for populations diverging by drift only is based on the coancestry coefficient θ, and three estimators of the distance D = -ln(1 - θ) are constructed for multiallelic, multilocus data. Simulations of a monoecious population mating at random showed that a weighted ratio of single-locus estimators performed better than an unweighted average or a least squares estimator. Jackknifing over loci provided satisfactory variance estimates of distance values. In the drift situation, in which mutation is excluded, the weighted estimator of D appears to be a better measure of distance than others that have appeared in the literature.
Reference Key
openalex_W2152613935 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors John Reynolds, B. S. Weir, C. Clark Cockerham
Journal current genetics
Year 1983
DOI
10.1093/genetics/105.3.767
URL
https://academic.oup.com/genetics/article-pdf/105/3/767/34446231/genetics0767.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.