Evidence map›Paper›PMID 18695991›Full record

ArticleGenetica2009

Patterns of quantitative genetic variation in multiple dimensions.

Mark Kirkpatrick

Abstract read
PubMed Publisher
In one paragraph

Article in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed.

  1. Article
  2. Persistent selection on size explains micro- and macroevolutionary alignments in fly wings.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Genetic Evaluation Weight, Carcass and Stayability in Nellore Females.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Article
  5. On the resolution of sexual conflict over shared traits.Proceedings. Biological sciences · 2024
    Review
  6. Drift on holey landscapes as a dominant evolutionary process.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mapping pleiotropic loci using a fast-sequential testing algorithm.European journal of human genetics : EJHG · 2021
    Article
  13. Article
  14. The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population ofProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Article
  16. Article
  17. Why does allometry evolve so slowly?Integrative and comparative biology · 2019
    Article
  18. Article
  19. Causes of maladaptation.Evolutionary applications · 2019
    Review
  20. Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Mark KirkpatrickSection of Integrative Biology, University of Texas, 1 University Station C-0930, Austin, TX 78712, USA. kirkp@mail.utexas.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fundamental question for both evolutionary biologists and breeders is the extent to which genetic correlations limit the ability of populations to respond to selection. Here I view this topic from three perspectives. First, I propose several nondimensional statistics to quantify the genetic variation present in a suite of traits and to describe the extent to which correlations limit their selection response. A review of five data sets suggests that the total variation differs substantially between populations. In all cases analyzed, however, the "effective number of dimensions" is less than two: more than half of the total genetic variation is explained by a single combination of traits. Second, I consider how patterns of variation affect the average evolutionary response to selection in a random direction. When genetic variation lies in a small number of dimensions but there are a large number of traits under selection, then the average selection response will be reduced substantially from its potential maximum. Third, I discuss how a low genetic correlation between male fitness and female fitness limits the ability of populations to adapt. Data from two recent studies of natural populations suggest this correlation can diminish or even erase any genetic benefit to mate choice. Together these results suggest that adaptation (in natural populations) and genetic improvement (in domesticated populations) may often be as much constrained by patterns of genetic correlation as by the overall amount of genetic variation.

Indexed as

Genetic VariationAdaptation, BiologicalAnimalsEvolution, MolecularHumansModels, GeneticMultivariate AnalysisSelection, Genetic

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.