The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2013
DOI: 10.3325/cmj.2013.54.248
|View full text |Cite
|
Sign up to set email alerts
|

Improved eye- and skin-color prediction based on 8 SNPs

Abstract: AimTo improve the 7-plex system to predict eye and skin color by increasing precision and detailed phenotypic descriptions.MethodsAnalysis of an eighth single nucleotide polymorphism (SNP), rs12896399 (SLC24A4), showed a statistically significant association with human eye color (P = 0.007) but a rather poor strength of agreement (κ = 0.063). This SNP was added to the 7-plex system (rs12913832 at HERC2, rs1545397 at OCA2, rs16891982 at SLC45A2, rs1426654 at SLC24A5, rs885479 at MC1R, rs6119471 at ASIP, and rs1… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
63
0
9

Year Published

2015
2015
2021
2021

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 76 publications
(77 citation statements)
references
References 34 publications
2
63
0
9
Order By: Relevance
“…Similarly, skin color has an estimated heritability of 81% (40), with 11 genes predominantly contributing to pigmentation (41). For both eye and skin color, previous models predicted color categories rather than continuous values (10,13,42), often by using ad hoc decision rules. To our knowledge, none have used genome-wide variation to predict color.…”
Section: Significancementioning
confidence: 99%
See 2 more Smart Citations
“…Similarly, skin color has an estimated heritability of 81% (40), with 11 genes predominantly contributing to pigmentation (41). For both eye and skin color, previous models predicted color categories rather than continuous values (10,13,42), often by using ad hoc decision rules. To our knowledge, none have used genome-wide variation to predict color.…”
Section: Significancementioning
confidence: 99%
“…The clinical and research community uses a fragmented system to enforce privacy that includes institutional review boards, ad hoc data access committees, and a range of privacy and security practices such as the Health Insurance Portability and Accountability Act (HIPAA) (9) and the Common Rule. These approaches are important, but may prove insufficient for genetic data (10). Even distribution of genomic data in summarized form, such as allele frequencies, carries some privacy risk (11).…”
Section: Identification Of Individuals By Trait Prediction Using Wholmentioning
confidence: 99%
See 1 more Smart Citation
“…The current research in DNA phenotyping (physical appearance because of the unique DNA) shows that 24 DNA markers (SNP) can be successfully used to predict the color of the hair as well as the eye of an individual from the DNA obtained from his/her body tissues (Walsh et al, 2013). Other genes responsible for skin color, hair structure, and baldness have been determined (Hart et al, 2013;Liu et al, 2015;Marcinska et al, 2015;Pospiech et al, 2015). In future, this technique can be combined with predicting method of age, biogeographic/ethnicity as well as behaviour of an individual from the DNA methylation data (Next Generation DNA Phenotyping), which can be used to accurately construct the inclusive facial picture who leaves behind the DNA mark but has no match for his/her DNA fingerprint.…”
Section: Discussionmentioning
confidence: 99%
“…There are at least ten published studies presenting methods to explore the predictive values of combinations of SNP alleles of pigmentation phenotypes (skin, eye and hair colour) and presence/absence of freckles [33][34][35][36][37][38][39][40][41][42], two of which [34,40] have already been validated [43][44][45]. Additional research is under development regarding these and other phenotypes, such as estimation of age [46][47][48][49], height [50,51], hair shape [52][53][54], facial features [55,56], baldness [54, 57,58], and adult stuttering [59,60].…”
Section: Pims For Prediction Of Normal Human Traitsmentioning
confidence: 99%