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
“…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%
“…Models exist for predicting individual traits such as skin color (5,10,12,13), eye color (10), and facial structure (14). We built models to predict 3D facial structure, voice, biological age, height, weight, body mass index (BMI), eye color, and skin color.…”
Section: Identification Of Individuals By Trait Prediction Using Wholmentioning
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for a large fraction of the traits, their predictive accuracy beyond ancestry and demographic information is limited. However, we have developed a maximum entropy algorithm that integrates multiple predictions to determine which genomic samples and phenotype measurements originate from the same person. Using this algorithm, we have reidentified an average of >8 of 10 held-out individuals in an ethnically mixed cohort and an average of 5 of either 10 African Americans or 10 Europeans. This work challenges current conceptions of personal privacy and may have far-reaching ethical and legal implications.
“…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%
“…Models exist for predicting individual traits such as skin color (5,10,12,13), eye color (10), and facial structure (14). We built models to predict 3D facial structure, voice, biological age, height, weight, body mass index (BMI), eye color, and skin color.…”
Section: Identification Of Individuals By Trait Prediction Using Wholmentioning
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for a large fraction of the traits, their predictive accuracy beyond ancestry and demographic information is limited. However, we have developed a maximum entropy algorithm that integrates multiple predictions to determine which genomic samples and phenotype measurements originate from the same person. Using this algorithm, we have reidentified an average of >8 of 10 held-out individuals in an ethnically mixed cohort and an average of 5 of either 10 African Americans or 10 Europeans. This work challenges current conceptions of personal privacy and may have far-reaching ethical and legal implications.
“…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.…”
Discerning monozygotic twins, precisely predicting the age of human beings and most importantly interpreting human behavior remains a big challenge in forensic science. Modern advances in the field of epigenetics especially analysis of DNA methylation pattern can certainly help to identify and discriminate various single-source DNA samples such as bodily fluids collected from the crime scene. In this review, cytosine methylation analysis of DNA has been methodologically discussed with a broad range of applications in forensic science such as identifying single or mixed body fluid, discriminating monozygotic twins, age prediction, addiction/behavioral prediction as well as race/ethnicity identification. With the advances of next-generation sequencing techniques, blooming of DNA methylation datasets and together with standard epigenetic protocols, the prospect of investigating and solving these critical issues in forensic science is highly promising in the court of law.
“…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
The 'omics' era and its concomitant technological advances have brought great insight into genetics. One of the most promising fields within human genetics is the prediction of physical traits from analysis of genetic material. Besides the predictive potential of DNA, the traceability of pathogenic agents in the human body through molecular analysis is also a field to be further exploited. In this review, we aim to discuss specific aspects of phenotypic prediction by analysing DNA, with special emphasis on normal variation, and the application of a technology known as 'Forensic DNA Phenotyping' (FDP). We also suggest the term 'Phenotype Informative Markers' (PIMs) to designate any molecular markers responsible for normal or pathological human phenotypic variation. In addition, we raise some recommendations related to forensic genetics, the molecular diagnosis of human diseases, and the traceability of pathogens in the human body, giving special emphasis to the need for validation of these tests with strict protocols. Some relevant concerns about privacy, ethics, and legality of such predictions have also been discussed. Finally, we look at perspectives on the use of epigenetic tools, and quote some examples of what has been done in this specific field.
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