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Quantitative measures of iris color using high resolution photographs

Bibliographic Data

ID8312809
AuthorsMelissa Edwards (0000-0002-3627-7314, University of Toronto), Agnes Gozdzik (University of Toronto), Kendra Ross (University of Toronto), Jon Miles (0000-0003-3209-0410), J W Miles (Miles College), Esteban J Parra (0000-0002-2057-8577, University of Toronto, corresponding author)
Year2012
Volume147
Issue1
Pages141-149
Publication date2012-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.21637
PMID22101828
OpenAlexW2092822077
LanguageEN
Citations received4
References cited17

Our understanding of the genetic architecture of iris color is still limited. This is partly related to difficulties associated with obtaining quantitative measurements of eye color. Here we introduce a new automated method for measuring iris color using high resolution photographs. This method extracts color measurements in the CIE 1976 L * a * b * (CIELAB) color space from a 256 by 256 pixel square sampled from the 9:00 meridian of the iris. Color is defined across three dimensions: L * (the lightness coordinate), a * (the red‐green coordinate), and b * (the blue‐yellow coordinate). We applied this method to a sample of individuals of diverse ancestry (East Asian, European and South Asian) that was genotyped for the HERC2 rs12913832 polymorphism, which is strongly associated with blue eye color. We identified substantial variation in the CIELAB color space, not only in the European sample, but also in the East Asian and South Asian samples. As expected, rs12913832 was significantly associated with quantitative iris color measurements in subjects of European ancestry. However, this SNP was also strongly associated with iris color in the South Asian sample, although there were no participants with blue irides in this sample. The usefulness of this method is not restricted only to the study of iris pigmentation. High‐resolution pictures of the iris will also make it possible to study the genetic variation involved in iris textural patterns, which show substantial heritability in human populations. Am J Phys Anthropol, 2012. © 2011 Wiley Periodicals, Inc

Biology · Biometrics · Color space · Computer vision · Eye color · Hue · IRIS (biosensor) · Physics · Sample (material) · Artificial Intelligence · Computer Science · Genetic diversity and population structure · Genetics · Identification and Quantification in Food · melanin and skin pigmentation

  • Association study confirms the role of two OCA2 polymorphisms in normal skin pigmentation variation in E ast A sian populations

    Open Access•Katherine Eaton, Melissa Edwards et al.•American Journal of Human Biology•2015

  • The color of normal

    Open Access•Heather L Norton•American Journal of Human Biology•2021

  • Quantitative assessment of skin, hair, and iris variation in a diverse sample of individuals and associated genetic variation

    Open Access•Heather L Norton, Melissa Edwards et al.•American Journal of Physical…•2016

  • The convergent evolution of blue iris pigmentation in primates took distinct molecular paths

    Open Access•Wynn K Meyer, Sidi Zhang et al.•American Journal of Physical…•2013

Unique citing works4
Citations per year0,31
Citation span2013 - 2021 (9)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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