Cited by 396

The DOI matches its Crossref record.

Human face recognition ability is specific and highly heritable

Wilmer, Jeremy B., Germine, Laura, Chabris, Christopher F., Chatterjee, Garga, Williams, Mark, Loken, Eric, Nakayama, Ken, Duchaine, Bradley·2010·Proceedings of the National Academy of Sciences

Abstract

Compared with notable successes in the genetics of basic sensory transduction, progress on the genetics of higher level perception and cognition has been limited. We propose that investigating specific cognitive abilities with well-defined neural substrates, such as face recognition, may yield additional insights. In a twin study of face recognition, we found that the correlation of scores between monozygotic twins (0.70) was more than double the dizygotic twin correlation (0.29), evidence for a high genetic contribution to face recognition ability. Low correlations between face recognition scores and visual and verbal recognition scores indicate that both face recognition ability itself and its genetic basis are largely attributable to face-specific mechanisms. The present results therefore identify an unusual phenomenon: a highly specific cognitive ability that is highly heritable. Our results establish a clear genetic basis for face recognition, opening this intensively studied and socially advantageous cognitive trait to genetic investigation.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0913053107

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Previous studies show that some people perform very well in face matching tasks while others perform very poorly, and that these individual differences are stable across tests.

    “This would be consistent with previous studies showing that some people perform very well in face matching tasks while others perform very poorly [15, 33, 34] and that these individual differences are stable across tests [33–35].”

    From Error Rates in Users of Automatic Face Recognition Software (2015) · cites this paper as [35]

    The Results report substantial variation in Cambridge Face Memory Test scores and test–retest and alternate-forms reliability; Materials and Methods also report correlations with other face tests. These findings support individual differences that persist across testing, but the paper primarily measures face recognition after studying faces, not performance on face-matching tasks specifically. Page numbers are unavailable in our copy. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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

No references could be resolved yet.

Research works printed but not linked: 33

  1. R Plomin, JC DeFries, GE McClearn, P McGuffin Behavioral Genetics (Worth, 5th Ed, New York, 2008).
  2. 10.1016/j.neuroimage.2005.07.036 · DOI
  3. 10.1016/j.intell.2008.07.002 · DOI · Paper page
  4. 10.1016/j.intell.2004.11.005 · DOI
  5. 10.1111/j.1601-183X.2007.00368.x · DOI
  6. 10.1007/s00439-009-0655-4 · DOI
  7. 10.1016/j.tig.2009.03.002 · DOI
  8. AM Galaburda, J LoTurco, F Ramus, RH Fitch, GD Rosen, From genes to behavior in developmental dyslexia. Trends Genet 9, 1213–1217 (2006).
  9. 10.1353/lan.2001.0247 · DOI
  10. 10.1523/JNEUROSCI.4001-07.2007 · DOI
  11. 10.1016/j.tics.2006.11.002 · DOI
  12. 10.1073/pnas.0809662105 · DOI
  13. 10.1126/science.1119983 · DOI
  14. 10.1080/02643290500441296 · DOI
  15. 10.1162/jocn.1997.9.5.555 · DOI
  16. 10.1016/j.cub.2009.01.007 · DOI
  17. 10.1080/02643290701380491 · DOI
  18. 10.1348/174866407X256554 · DOI
  19. Y Lee, B Duchaine, H Wilson, K Nakayama, Three cases of developmental prosopagnosia from one family: Detailed neuropsychological and psychophysical investigation of face processing. Cortex, Epub ahead of print. (2009).
  20. 10.1016/j.neuropsychologia.2005.07.001 · DOI
  21. 10.1007/s11336-008-9103-y · DOI
  22. 10.1177/1046496408317792 · DOI
  23. D Wechsler Wechsler Memory Scale (The Psychological Corporation, 3rd Ed, San Antonio, TX, 1997).
  24. 10.1038/nature02420 · DOI
  25. 10.1016/j.jecp.2009.01.006 · DOI
  26. 10.1073/pnas.0406627102 · DOI
  27. 10.1037/0096-3445.129.4.559 · DOI
  28. 10.3758/BF03193876 · DOI
  29. 10.1038/35073749 · DOI
  30. 10.1080/02643290903343149 · DOI
  31. 10.3758/PBR.16.2.252 · DOI · Paper page
  32. 10.1375/136905203762687861 · DOI
  33. 10.3758/BRM.40.3.840 · DOI

Cited by

Sorted by citations

Metadata

Authors
Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Williams, M., Loken, E., Nakayama, K., & Duchaine, B.
Affiliations
  • Department of Psychology, Wellesley College, Wellesley, MA 02481;
  • Department of Psychology, Harvard University, Cambridge, MA 02138;
  • Department of Psychology, Union College, Schenectady, NY 12308;
  • Macquarie Centre for Cognitive Science, Macquarie University, Sydney, New South Wales 2109, Australia;
  • Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA 16802; and
  • Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, United Kingdom
Venue
Proceedings of the National Academy of Sciences
Published
2010-02-22
Volume
107
Issue
11
Pages
5238-5241
ISSN
  • 0027-8424
  • 1091-6490
Cited by
396
References
0
Language
en

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