1
|
Further insight into the global variability of the OCA2-HERC2 locus for human pigmentation from multiallelic markers. Sci Rep 2021; 11:22530. [PMID: 34795370 PMCID: PMC8602267 DOI: 10.1038/s41598-021-01940-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 11/02/2021] [Indexed: 11/20/2022] Open
Abstract
The OCA2-HERC2 locus is responsible for the greatest proportion of eye color variation in humans. Numerous studies extensively described both functional SNPs and associated patterns of variation over this region. The goal of our study is to examine how these haplotype structures and allelic associations vary when highly variable markers such as microsatellites are used. Eleven microsatellites spanning 357 Kb of OCA2-HERC2 genes are analyzed in 3029 individuals from worldwide populations. We found that several markers display large differences in allele frequency (10% to 35% difference) among Europeans, East Asians and Africans. In Europe, the alleles showing increased frequency can also discriminate individuals with (IrisPlex) predicted blue and brown eyes. Distinct haplotypes are identified around the variants C and T of the functional SNP rs12913832 (associated to blue eyes), with linkage disequilibrium r2 values significant up to 237 Kb. The haplotype carrying the allele rs12913832 C has high frequency (76%) in blue eye predicted individuals (30% in brown eye predicted individuals), while the haplotype associated to the allele rs12913832 T is restricted to brown eye predicted individuals. Finally, homozygosity values reach levels of 91% near rs12913832. Odds ratios show values of 4.2, 7.4 and 10.4 for four markers around rs12913832 and 7.1 for their core haplotype. Hence, this study provides an example on the informativeness of multiallelic markers that, despite their current limited potential contribution to forensic eye color prediction, supports the use of microsatellites for identifying causing variants showing similar genetic features and history.
Collapse
|
2
|
Simcoe M, Valdes A, Liu F, Furlotte NA, Evans DM, Hemani G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Vuckovic D, Girotto G, Sala C, Catamo E, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt A, Wu W, Kraft P, Hammond CJ, Shi Y, Chen Y, Zeng C, Klaver CCW, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Han J, Mackey DA, Martin NG, Cheng CY, Hinds DA, Spector TD, Kayser M, Hysi PG. Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color. SCIENCE ADVANCES 2021; 7:7/11/eabd1239. [PMID: 33692100 PMCID: PMC7946369 DOI: 10.1126/sciadv.abd1239] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 01/25/2021] [Indexed: 05/03/2023]
Abstract
Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms. Overall, our study outcomes demonstrate that the genetic complexity of human eye color considerably exceeds previous knowledge and expectations, highlighting eye color as a genetically highly complex human trait.
Collapse
Affiliation(s)
- Mark Simcoe
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Department of Ophthalmology, King's College London, London, UK
| | - Ana Valdes
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Division of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | - David M Evans
- University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - David L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Dragana Vuckovic
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
- Epidemiology and Biostatistics Department, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Giorgia Girotto
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Cinzia Sala
- Division of Genetics of Common Disorders, S. Raffaele Scientific Institute, Milan, Italy
| | - Eulalia Catamo
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Marco Brumat
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Daniela Toniolo
- Division of Genetics of Common Disorders, S. Raffaele Scientific Institute, Milan, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
| | - Alex Hewitt
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
- Centre for Eye Research Australia, University of Melbourne, Department of Ophthalmology, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Wenting Wu
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Christopher J Hammond
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Department of Ophthalmology, King's College London, London, UK
| | - Yuan Shi
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
| | - Yan Chen
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Changqing Zeng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jiali Han
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
- Duke-NUS Medical School, Singapore
| | | | - Timothy D Spector
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.
| | - Pirro G Hysi
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK.
- Department of Ophthalmology, King's College London, London, UK
| |
Collapse
|
3
|
Winegard B, Winegard B, Anomaly J. Dodging Darwin: Race, evolution, and the hereditarian hypothesis. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.109915] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
4
|
Fink B, Matts PJ, Brauckmann C, Gundlach S. The effect of skin surface topography and skin colouration cues on perception of male facial age, health and attractiveness. Int J Cosmet Sci 2018; 40:193-198. [PMID: 29469966 DOI: 10.1111/ics.12451] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/18/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Previous studies investigating the effects of skin surface topography and colouration cues on the perception of female faces reported a differential weighting for the perception of skin topography and colour evenness, where topography was a stronger visual cue for the perception of age, whereas skin colour evenness was a stronger visual cue for the perception of health. We extend these findings in a study of the effect of skin surface topography and colour evenness cues on the perceptions of facial age, health and attractiveness in males. METHODS Facial images of six men (aged 40 to 70 years), selected for co-expression of lines/wrinkles and discolouration, were manipulated digitally to create eight stimuli, namely, separate removal of these two features (a) on the forehead, (b) in the periorbital area, (c) on the cheeks and (d) across the entire face. Omnibus (within-face) pairwise combinations, including the original (unmodified) face, were presented to a total of 240 male and female judges, who selected the face they considered younger, healthier and more attractive. RESULTS Significant effects were detected for facial image choice, in response to skin feature manipulation. The combined removal of skin surface topography resulted in younger age perception compared with that seen with the removal of skin colouration cues, whereas the opposite pattern was found for health preference. No difference was detected for the perception of attractiveness. These perceptual effects were seen particularly on the forehead and cheeks. Removing skin topography cues (but not discolouration) in the periorbital area resulted in higher preferences for all three attributes. CONCLUSION Skin surface topography and colouration cues affect the perception of age, health and attractiveness in men's faces. The combined removal of these features on the forehead, cheeks and in the periorbital area results in the most positive assessments.
Collapse
Affiliation(s)
- B Fink
- Institute of Psychology, University of Goettingen, Kellnerweg 6, 37077, Goettingen, Germany.,Emmy Noether Research Group, Faculty of Biology and Psychology, University of Goettingen, Kellnerweg 6, 37077, Goettingen, Germany
| | - P J Matts
- The Procter & Gamble Company, Greater London Innovation Centre, Rusham Park, Whitehall Lane, Egham, KT15 2HT, UK
| | - C Brauckmann
- Emmy Noether Research Group, Faculty of Biology and Psychology, University of Goettingen, Kellnerweg 6, 37077, Goettingen, Germany
| | - S Gundlach
- Emmy Noether Research Group, Faculty of Biology and Psychology, University of Goettingen, Kellnerweg 6, 37077, Goettingen, Germany
| |
Collapse
|
5
|
Frost P, Kleisner K, Flegr J. Health status by gender, hair color, and eye color: Red-haired women are the most divergent. PLoS One 2017; 12:e0190238. [PMID: 29284020 PMCID: PMC5746253 DOI: 10.1371/journal.pone.0190238] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Accepted: 12/11/2017] [Indexed: 12/02/2022] Open
Abstract
Red hair is associated in women with pain sensitivity. This medical condition, and perhaps others, seems facilitated by the combination of being red-haired and female. We tested this hypothesis by questioning a large sample of Czech and Slovak respondents about the natural redness and darkness of their hair, their natural eye color, their physical and mental health (24 categories), and other personal attributes (height, weight, number of children, lifelong number of sexual partners, frequency of smoking). Red-haired women did worse than other women in ten health categories and better in only three, being particularly prone to colorectal, cervical, uterine, and ovarian cancer. Red-haired men showed a balanced pattern, doing better than other men in three health categories and worse in three. Number of children was the only category where both male and female redheads did better than other respondents. We also confirmed earlier findings that red hair is naturally more frequent in women than in men. Of the ‘new’ hair and eye colors, red hair diverges the most from the ancestral state of black hair and brown eyes, being the most sexually dimorphic variant not only in population frequency but also in health status. This divergent health status may have one or more causes: direct effects of red hair pigments (pheomelanins) or their by-products; effects of other genes that show linkage with genes involved in pheomelanin production; excessive prenatal exposure to estrogen (which facilitates expression of red hair during fetal development and which, at high levels, may cause health problems later in life); evolutionary recentness of red hair and corresponding lack of time to correct negative side effects; or genetic incompatibilities associated with the allele Val92Met, which seems to be of Neanderthal origin and is one of the alleles that can cause red hair.
Collapse
Affiliation(s)
- Peter Frost
- Department of Anthropology, Université Laval, Quebec City, Canada
| | - Karel Kleisner
- Division of Biology, Faculty of Science, Charles University, Prague, Viničná 7, Czech Republic
| | - Jaroslav Flegr
- Division of Biology, Faculty of Science, Charles University, Prague, Viničná 7, Czech Republic
- Division of Applied Neurosciences and Brain Imagination, National Institute of Mental Health, Klecany, Czech Republic
- * E-mail:
| |
Collapse
|
6
|
Winegard B, Winegard B, Boutwell B. Human Biological and Psychological Diversity. EVOLUTIONARY PSYCHOLOGICAL SCIENCE 2017. [DOI: 10.1007/s40806-016-0081-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
|
7
|
Elias PM, Williams ML. Basis for the gain and subsequent dilution of epidermal pigmentation during human evolution: The barrier and metabolic conservation hypotheses revisited. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2016; 161:189-207. [PMID: 27324932 DOI: 10.1002/ajpa.23030] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 05/27/2016] [Accepted: 05/29/2016] [Indexed: 12/25/2022]
Abstract
The evolution of human skin pigmentation must address both the initial evolution of intense epidermal pigmentation in hominins, and its subsequent dilution in modern humans. While many authorities believe that epidermal pigmentation evolved to protect against either ultraviolet B (UV-B) irradiation-induced mutagenesis or folic acid photolysis, we hypothesize that pigmentation augmented the epidermal barriers by shifting the UV-B dose-response curve from toxic to beneficial. Whereas erythemogenic UV-B doses produce apoptosis and cell death, suberythemogenic doses benefit permeability and antimicrobial function. Heavily melanized melanocytes acidify the outer epidermis and emit paracrine signals that augment barrier competence. Modern humans, residing in the cooler, wetter climes of south-central Europe and Asia, initially retained substantial pigmentation. While their outdoor lifestyles still permitted sufficient cutaneous vitamin D3 (VD3) synthesis, their marginal nutritional status, coupled with cold-induced caloric needs, selected for moderate pigment reductions that diverted limited nutritional resources towards more urgent priorities (=metabolic conservation). The further pigment-dilution that evolved as humans reached north-central Europe (i.e., northern France, Germany), likely facilitated cutaneous VD3 synthesis, while also supporting ongoing, nutritional requirements. But at still higher European latitudes where little UV-B breaches the atmosphere (i.e., present-day UK, Scandinavia, Baltic States), pigment dilution alone could not suffice. There, other nonpigment-related mutations evolved to facilitate VD3 production; for example, in the epidermal protein, filaggrin, resulting in reduced levels of its distal metabolite, trans-urocanic acid, a potent UV-B chromophore. Thus, changes in human pigmentation reflect a complex interplay between latitude, climate, diet, lifestyle, and shifting metabolic priorities.
Collapse
Affiliation(s)
- Peter M Elias
- Department of Veterans Affairs Medical Center, Dermatology Service, University of California San Francisco, California. .,Department of Dermatology, Dermatology Service, University of California San Francisco, California.
| | - Mary L Williams
- Department of Dermatology, University of California, San Francisco, California.,Department of Pediatrics, University of California, San Francisco, California
| |
Collapse
|
8
|
Garza R, Heredia RR, Cieslicka AB. Male and Female Perception of Physical Attractiveness. EVOLUTIONARY PSYCHOLOGY 2016; 14:1474704916631614. [PMCID: PMC10426851 DOI: 10.1177/1474704916631614] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 11/13/2015] [Indexed: 09/09/2023] Open
Abstract
Waist-to-hip ratio (WHR) and breast size are morphological traits that are associated with female attractiveness. Previous studies using line drawings of women have shown that men across cultures rate low WHRs (0.6 and 0.7) as most attractive. In this study, we used additional viewing measurements (i.e., first fixation duration and visual regressions) to measure visual attention and record how long participants first focused on the female body and whether they regressed back to an area of interest. Additionally, we manipulated skin tone to determine whether they preferred light- or dark-skinned women. In two eye tracking experiments, participants rated the attractiveness of female nude images varying in WHR (0.5–0.9), breast size, and skin tone. We measured first fixation duration, gaze duration, and total time. The overall results of both studies revealed that visual attention fell mostly on the face, the breasts, and the midriff of the female body, supporting the evolutionary view that reproductively relevant regions of the female body are important to female attractiveness. Because the stimuli varied in skin tone and the participants were mainly Hispanic of Mexican American descent, the findings from these studies also support a preference for low WHRs and reproductively relevant regions of the female body.
Collapse
Affiliation(s)
- Ray Garza
- Department of Psychology and Communication, Texas A&M International University, Laredo, TX, USA
| | - Roberto R. Heredia
- Department of Psychology and Communication, Texas A&M International University, Laredo, TX, USA
| | - Anna B. Cieslicka
- Department of Psychology and Communication, Texas A&M International University, Laredo, TX, USA
| |
Collapse
|
9
|
Bonilla C, Ness AR, Wills AK, Lawlor DA, Lewis SJ, Davey Smith G. Skin pigmentation, sun exposure and vitamin D levels in children of the Avon Longitudinal Study of Parents and Children. BMC Public Health 2014; 14:597. [PMID: 24924479 PMCID: PMC4067096 DOI: 10.1186/1471-2458-14-597] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Accepted: 05/27/2014] [Indexed: 11/10/2022] Open
Abstract
Background It has been hypothesised that light skin pigmentation has arisen to ensure adequate levels of vitamin D as human populations moved out of Africa and into higher latitudes. Vitamin D, which is primarily obtained through exposure to sunlight (specifically ultraviolet radiation B (UVR-B)), has been inversely associated with several complex diseases. Greater sun exposure, on the other hand, is a well-known cause of skin cancer. The potential of UVR to be beneficial for some health outcomes but detrimental for others has prompted a public health debate on how to balance the positive and negative consequences of sun exposure. In this study we aimed to determine the validity of the evolutionary hypothesis linking lighter skin with higher vitamin D concentrations in a European population. Additionally, we aimed to examine the influence of pigmentation on personal behaviour towards sunlight exposure and the effects of this behaviour on vitamin D. Methods We combined genetic variants strongly associated with skin colour, tanning or freckling to create genetic scores for each of these phenotypes. We examined the association of the scores with pigmentary traits, sun exposure and serum 25-hydroxyvitamin D (25(OH)D) levels among children of the Avon Longitudinal Study of Parents and Children (ALSPAC, N = 661 to 5649). Results We found that fairer-skinned children, i.e. those with higher pigmentation score values, had higher levels of 25(OH)D (0.6 nmol/l; 95% CI 0.2, 1.0; per unit increase in skin colour score; N = 5649). These children also used more protection against the damaging effects of UVR. Conclusions In this population taking protective measures against sunburn and skin cancer does not seem to remove the positive effect that having a less pigmented skin has on vitamin D production. Our findings require further replication as skin pigmentation showed only a small effect on circulating 25(OH)D.
Collapse
Affiliation(s)
- Carolina Bonilla
- School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
| | | | | | | | | | | |
Collapse
|
10
|
Sitek A, Żądzińska E, Rosset I, Antoszewski B. Is increased constitutive skin and hair pigmentation an early sign of puberty? HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2013; 64:205-14. [DOI: 10.1016/j.jchb.2013.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Accepted: 03/13/2013] [Indexed: 01/10/2023]
|
11
|
Martinez-Cadenas C, Peña-Chilet M, Ibarrola-Villava M, Ribas G. Gender is a major factor explaining discrepancies in eye colour prediction based on HERC2/OCA2 genotype and the IrisPlex model. Forensic Sci Int Genet 2013; 7:453-60. [PMID: 23601698 DOI: 10.1016/j.fsigen.2013.03.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Revised: 03/13/2013] [Accepted: 03/17/2013] [Indexed: 01/09/2023]
Abstract
In recent years, several studies have greatly increased our understanding of the genetic basis underlying human eye colour variation. A large percentage of the eye colour diversity present in humans can already be genetically explained, so much so that different DNA-based eye colour prediction models, such as IrisPlex, have been recently developed for forensic purposes. Though these models are already highly accurate, they are by no means perfect, with many genotype-phenotype discrepancies still remaining unresolved. In this work we have genotyped six SNPs associated with eye colour (IrisPlex) in 535 individuals from Spain, a Mediterranean population. Aside from different SNP frequencies in Spain compared to Northern Europe, the results for eye colour prediction are quite similar to other studies. However, we have found an association between gender and eye colour prediction. When comparing similar eye colour genetic profiles, females tend, as a whole, to have darker eyes than males (and, conversely, males lighter than females). These results are also corroborated by the revision and meta-analysis of data from previously published eye colour genetic studies in several Caucasian populations, which significantly support the fact that males are more likely to have blue eyes than females, while females tend to show higher frequencies of green and brown eyes than males. This significant gender difference would suggest that there is an as yet unidentified gender-related factor contributing to human eye colour variation.
Collapse
|
12
|
Beall CM, Jablonski NG, Steegmann AT. Human Adaptation to Climate: Temperature, Ultraviolet Radiation, and Altitude. Hum Biol 2012. [DOI: 10.1002/9781118108062.ch6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
13
|
Osborne DL, Weaver CM, McAbe LD, McCabe GM, Novotny R, Boushey C, Savaiano DA. Tanning predicts bone mass but not structure in adolescent females living in Hawaii. Am J Hum Biol 2011; 23:470-8. [PMID: 21495109 DOI: 10.1002/ajhb.21158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2010] [Revised: 12/30/2010] [Accepted: 01/02/2011] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To evaluate the relationship between facultative skin pigmentation, which predicts circulating levels of plasma 25-hydroxymitamin D, and several measures of bone mass and structure in a cross sectional sample of adolescent females living in Hawaii. METHODS Our sample was composed of adolescent females (n = 94) living in Hawaii where seasonal sun exposure is minimal, and who self-identified as either white (n = 16) or Asian (n = 78). Bone mineral content (BMC) of the total body, the lumbar spine and the hip, and cross sectional area (CSA) and section modulus (Z) at the proximal femur were quantified using DXA. Facultative skin pigmentation was measured at the forehead and non-facultative skin pigmentation was measured at the inner arm using a Chroma Meter CR-200b colorimeter. RESULTS There were no significant differences between ethnic groups in terms of skin pigmentation. The difference between a* taken at the forehead and inner upper arm significantly predicted BMC at the lumbar spine, total hip, and total body. Other measures of skin pigmentation were not significant predictors of any other measure of skeletal integrity. CONCLUSIONS The difference between facultative and non-facultative skin pigmentation for a* is a significant predictor BMC, but not bone structure. Our findings are limited by an inability to control for long term UVA and UVB exposure and lack of a measure of serum 25(OH)D status. Further research is needed to examine these questions, particularly in populations who live at high latitudes where a winter season limits vitamin D(3) synthesis.
Collapse
Affiliation(s)
- Daniel L Osborne
- Department of Anthropology, University of Nebraska-Lincoln, 68588, USA.
| | | | | | | | | | | | | |
Collapse
|
14
|
Lewis MB. Who is the fairest of them all? Race, attractiveness and skin color sexual dimorphism. PERSONALITY AND INDIVIDUAL DIFFERENCES 2011. [DOI: 10.1016/j.paid.2010.09.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
15
|
Khan R, Khan BR. Diet, disease and pigment variation in humans. Med Hypotheses 2010; 75:363-7. [DOI: 10.1016/j.mehy.2010.03.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2010] [Accepted: 03/20/2010] [Indexed: 10/19/2022]
|
16
|
Liu F, Wollstein A, Hysi PG, Ankra-Badu GA, Spector TD, Park D, Zhu G, Larsson M, Duffy DL, Montgomery GW, Mackey DA, Walsh S, Lao O, Hofman A, Rivadeneira F, Vingerling JR, Uitterlinden AG, Martin NG, Hammond CJ, Kayser M. Digital quantification of human eye color highlights genetic association of three new loci. PLoS Genet 2010; 6:e1000934. [PMID: 20463881 PMCID: PMC2865509 DOI: 10.1371/journal.pgen.1000934] [Citation(s) in RCA: 145] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2009] [Accepted: 04/01/2010] [Indexed: 01/23/2023] Open
Abstract
Previous studies have successfully identified genetic variants in several genes associated with human iris (eye) color; however, they all used simplified categorical trait information. Here, we quantified continuous eye color variation into hue and saturation values using high-resolution digital full-eye photographs and conducted a genome-wide association study on 5,951 Dutch Europeans from the Rotterdam Study. Three new regions, 1q42.3, 17q25.3, and 21q22.13, were highlighted meeting the criterion for genome-wide statistically significant association. The latter two loci were replicated in 2,261 individuals from the UK and in 1,282 from Australia. The LYST gene at 1q42.3 and the DSCR9 gene at 21q22.13 serve as promising functional candidates. A model for predicting quantitative eye colors explained over 50% of trait variance in the Rotterdam Study. Over all our data exemplify that fine phenotyping is a useful strategy for finding genes involved in human complex traits. We measured human eye color to hue and saturation values from high-resolution, digital, full-eye photographs of several thousand Dutch Europeans. This quantitative approach, which is extremely cost-effective, portable, and time efficient, revealed that human eye color varies along more dimensions than the one represented by the blue-green-brown categories studied previously. Our work represents the first genome-wide study of quantitative human eye color. We clearly identified 3 new loci, LYST, 17q25.3, TTC3/DSCR9, in contributing to the natural and subtle eye color variation along multiple dimensions, providing new leads towards a more detailed understanding of the genetic basis of human eye color. Our quantitative prediction model explained over 50% of eye color variance, representing the highest accuracy achieved so far in genomic prediction of human complex and quantitative traits, with relevance for future forensic applications.
Collapse
Affiliation(s)
- Fan Liu
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andreas Wollstein
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Georgina A. Ankra-Badu
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Daniel Park
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Gu Zhu
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Mats Larsson
- Queensland Institute of Medical Research, Brisbane, Australia
| | - David L. Duffy
- Queensland Institute of Medical Research, Brisbane, Australia
| | | | - David A. Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Susan Walsh
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Oscar Lao
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Johannes R. Vingerling
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Manfred Kayser
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
- * E-mail:
| |
Collapse
|
17
|
Chaplin G, Jablonski NG. Vitamin D and the evolution of human depigmentation. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2009; 139:451-61. [PMID: 19425101 DOI: 10.1002/ajpa.21079] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- George Chaplin
- Department of Anthropology, The Pennsylvania State University, University Park, PA 16802, USA.
| | | |
Collapse
|
18
|
Juzeniene A, Setlow R, Porojnicu A, Steindal AH, Moan J. Development of different human skin colors: A review highlighting photobiological and photobiophysical aspects. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY 2009; 96:93-100. [DOI: 10.1016/j.jphotobiol.2009.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2008] [Revised: 02/10/2009] [Accepted: 04/24/2009] [Indexed: 12/14/2022]
|
19
|
Vaughn M, van Oorschot R, Baindur-Hudson S. Hair color measurement and variation. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2008; 137:91-6. [PMID: 18446854 DOI: 10.1002/ajpa.20849] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Pigmentation of hair in humans has been investigated by medical scientists, anthropologists and, more recently, by forensic scientists. In every investigation, hair color must first be defined by the researchers. Subjective color assessment inhibits the reproducibility of experiments and the direct comparison of results. The aim of this study was to objectively measure human hair color and examine the variation found in a population with European ancestry, using the CIE L*a*b* color space. Observer-perceived hair colors were compared with self-reported hair colors and the color as measured by reflective spectrophotometry of 132 subjects of European ancestry. The presented data show that self-reported hair colors and observer-reported colors are similar; however, these categories are not necessarily the best way to categorize hair color for quantitative research. Using a two-step cluster analysis, hair color can be divided into categories or clusters based on spectrophotometric measurements in the CIE L*a*b* color space and these clusters can be well discriminated from each other. This separation is primarily based on the b* (yellow) color component and the clusters show agreement to observer-reported colors. This study illustrates the possibilities for and necessity of objectively defining the hair color phenotype for various downstream applications.
Collapse
Affiliation(s)
- Michelle Vaughn
- School of Molecular Sciences, Victoria University, Melbourne, VIC, Australia.
| | | | | |
Collapse
|