The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
The Language of Gene Interaction
Abstract
The study of variation and heredity, in our ignorance of the causation of those phenomena, must be built of statistical data, as Mendel knew long ago; but, as he also perceived, the ground must be prepared by specific experiment. The phenomena of heredity and variation are specific questions. That is where our exact science will begin. Otherwise we may one day see those huge foundations of “biometry” in ruins. W. Bateson (1902) VERY soon after the rediscovery of Mendel it was realized that the multilocus nature of inheritance could not be understood solely by examining the action of individual genes and then predicting how these genes would behave in concert simply by combining the separate observations. Frequently genes interact with one another, distorting simple Mendelian ratios and sometimes leading to novel phenotypes. Ninety years ago, William Bateson coined the term “epistasis” to describe this sort of interaction (he appears to have first used the term in 1908, although it is most clearly spelled out in Bateson 1909). Epistasis translates directly to “standing upon,” and was meant to describe the situation in which the action of one locus masks the allelic effects at another locus, much in the same way that complete dominance (the way in which most genes appeared to work at the time) involves the masking of one allele by another. The locus being masked is said to be “hypostatic” to the other locus. At the same time that he was investigating all manner of Mendelian segregation ratios, Bateson was involved in a heated battle with the Biometrical school of genetics, exemplified by the views of Karl Pearson and W. F. R. Weldon (Provine 1971). The Biometricians focused on the continuous range of variation among relatives in contrast to the discrete differences studied by the Mendelians. Eighty years ago, in one of the seminal papers in genetics, R. A. Fisher (1918) conclusively ended the debate by showing analytically that Mendelian segregation was compatible with the Biometrician's laws of heredity (something that had been argued qualitatively by a number of others before Fisher). In this same work, he also established several branches of statistics and laid the groundwork for the entire field now known as quantitative genetics. It was quite a paper. The essential problem with which Fisher had to deal was how to map the discrete segregation of alleles onto the continuous range of measured traits. Fisher noted that in conducting this mapping, it was entirely possible (although, as it was later clear, not likely to his mind), that one would not be able to predict the quantitative phenotype of a particular two-locus genotype by simply adding the effects of two loci together. With undoubted allusion to Bateson's unusual segregation ratios, Fisher called these nonadditive interactions “epistacy.” This term rapidly became simply “epistasis,” and two related, but distinct meanings of the same word entered the geneticist's vocabulary (Wade 1992a). It is perhaps telling that this duality in meaning rarely causes much confusion for those using the term. Mendelian and molecular geneticists tend to use epistasis in the strict sense of Bateson, while evolutionary and quantitative geneticists use epistasis to mean just about any form of gene interaction. After briefly tracing the history of the use of “epistasis,” I suggest that there is good reason to start thinking about eliminating this potential source of confusion. Some of the difficulty in choosing the right word to describe gene interactions results from the lingering conflict between the Biometrical and Mendelian views of characterizing gene action. The resolution to this difficulty points the way to the possible final synthesis of these two approaches. epistasis 1. Genetics. An interaction between nonallelic genes, especially an interaction in which one gene suppresses the expression of another. American Heritage Dictionary of the English Language (1992) Although officially given a name some ninety years ago, the phenomenon of gene interaction was discovered a few years earlier. In their study of the genetics of chicken combs, Bateson and Punnett (in Bateson et al. 1905) noted that one type of comb, the single, was rarely produced in their crosses and that its presence was difficult to reconcile with a simple Mendelian genetic system. Making good use of Punnett's recently derived method of creating a matrix, a “Punnett square,” to describe all possible combinations of gametes, they concluded that comb inheritance could be described by Mendelian segregation of two factors, with the single phenotype appearing only in the rare double-recessive homozygotes. Punnett later found similar results in his parallel work on sweet peas (reviewed in Punnett 1920). Weinberg (1910) also noted the possibility of such interactions, calling them komplizierter polyhybridismus (complicated polyhybridisms). It is perhaps not surprising that Weinberg's term did not catch on, and h
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
EVOLUTION IN MENDELIAN POPULATIONS
Wright, S. (1931) · Genetics · doi:10.1093/genetics/16.2.97 · Cited by 8,916
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
An introduction to population genetics theory
Crow, J. F., & Kimura, M. (1970) · Medical Entomology and Zoology · Cited by 4,223
THE GENETIC BASIS OF EVOLUTIONARY CHANGE
Felsenstein, J. (1975) · Evolution · doi:10.1111/j.1558-5646.1975.tb00851.x · Cited by 3,912
An Introduction to Population Genetics Theory
J., A., Crow, J. F., & Kimura, M. (1971) · Population (French Edition) · doi:10.2307/1529706 · Cited by 3,474
AVERAGE EXCESS AND AVERAGE EFFECT OF A GENE SUBSTITUTION
FISHER, R. A. (1941) · Annals of Eugenics · doi:10.1111/j.1469-1809.1941.tb02272.x · Cited by 957
teosinte branched1 and the origin of maize: evidence for epistasis and the evolution of dominance.
Doebley, J., Stec, A., & Gustus, C. (1995) · Genetics · doi:10.1093/genetics/141.1.333 · Cited by 758
The Origins of Theoretical Population Genetics: With a New Afterword
Provine, W. B. (2001) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226788920.001.0001 · Cited by 725
Keywords in evolutionary biology
(1993) · Choice Reviews Online · doi:10.5860/choice.30-4384 · Cited by 711
The Origins of Theoretical Population Genetics.
Provine, W. B., & Hull, D. L. (1972) · Systematic Zoology · doi:10.2307/2412271 · Cited by 692
Cited by
Detecting gene–gene interactions that underlie human diseases
Cordell, H. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2579 · Cited by 1,350
The Genetic Architecture of Quantitative Traits
Mackay, T. F. C. (2001) · Annual Review of Genetics · doi:10.1146/annurev.genet.35.102401.090633 · Cited by 1,106
Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans
Cordell, H. J. (2002) · Human Molecular Genetics · doi:10.1093/hmg/11.20.2463 · Cited by 1,084
Exploring genetic interactions and networks with yeast
Boone, C., Bussey, H., & Andrews, B. J. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2085 · Cited by 661
PERSPECTIVE:SIGN EPISTASIS AND GENETIC CONSTRAINT ON EVOLUTIONARY TRAJECTORIES
Weinreich, D. M., Watson, R. A., & Chao, L. (2005) · Evolution · doi:10.1554/04-272 · Cited by 632
Metadata
- Authors
- Phillips, P. C.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-07-01
- Volume
- 149
- Issue
- 3
- Pages
- 1167-1171
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W1898792859
- Cited by
- 273
- References
- 40
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Language of Gene Interaction. https://app.cochat.ai/papers/10.1093/genetics/149.3.1167
- The paper
- Phillips, P. C. (1998). The Language of Gene Interaction. Genetics. https://doi.org/10.1093/genetics/149.3.1167
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.