Variations of finger dermatoglyphics among the Esan ethnic group of Edo State, Nigeria

Anyanwu, Luke Chukwumah

doi:10.4314/ijma.v2i14.3

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…An earlier study suggested that the use of dermal ridges formation or total ridge count as markers in population studies and phylogenetic analysis to be greatly influenced by certain parameters such as the geographical location, the ethnic background and the language (Sharma, Gautam, & Tiwari, 2007). In contrast to most of the earlier studies (Sandhu et al ., 2017; Patil et al ., 2019; Chaudhary et al ., 2017; Kc et al ., 2018), in the present study gender influence on the distribution of fingerprint pattern was observed, and it was in accordance with an earlier study (Anyanwu, 2020). This influence manifested by having the whorl pattern (50.0%) being the most dominant among male participants, whereas among the female participants it was the loop pattern (54.6%).…”

Section: Discussionsupporting

confidence: 93%

The association between fingerprint patterns and blood groups in the Omani population

Habsi

Khabori

Qasmi

et al. 2023

AGJSR

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PurposeFingerprints and blood samples are important for the identification of individuals and criminals. The present study aims to identify the predominant fingerprint patterns and the association between the fingerprint patterns and ABO–Rh blood groups in Omani population.Design/methodology/approachA cross-sectional study was conducted on 200 Omani individuals aged 18 years (104 males and 96 females). The imprints of all right and left-hand fingers were taken, and the types of the fingerprints were determined using a standard protocol. The blood group of all the subjects was recorded. Chi-square test was performed to identify the association between the fingerprint patterns and the ABO and Rh blood groups.FindingsThe loop fingerprint pattern was the most common in Omani subjects (49.4%), followed by whorl (44.9%) and arch (5.7%) pattern. A significant association (p < 0.001) was found between gender and fingerprint pattern. The loop was the highest occurring pattern in the females (54.6%), while the whorl was more in males (50.0%). The whorl pattern was the most common in the AB+ and O− groups. The loop was a predominant pattern in the A+, A−, B+, B− and O+ groups. The Chi-square test also revealed a significant correlation between different fingerprint patterns and blood groups of the subjects (p < 0.001).Originality/valueThe present study is an outcome of undergraduate student's research project thesis for the Doctor of Medicine (MD) program. The results of the present study may help in creating a data bank for biometrics, which can be useful for diagnosing associated diseases and also help in identification of individuals.

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Section: Discussionsupporting

confidence: 93%

The association between fingerprint patterns and blood groups in the Omani population

Habsi

Khabori

Qasmi

et al. 2023

AGJSR

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“…A study conducted in Bulgaria demonstrated that loop pattern was significantly higher across the right hand fingers (), while another study in China demonstrated that the loop fingerprint pattern was the most dominant pattern across the left hand fingers (Heng et al, 2018). In Northern Taiwan, men have a higher frequency of whorls and women typically exhibiting more loops and arches (Shehu et al, 2018) which is similar to a study in Nigeria which demonstrated that the frequency of whorl and arches was higher in male and females respectively (Anyanwu, 2020). However, higher frequency of radial loops and ulnar loops was reported in males and females, respectively, in Nepal (Shrestha & Malla, 2019).…”

Section: Introductionsupporting

confidence: 77%

Distribution of Fingerprint Patterns in A Population in Western Kenya

Mikeb,

Webale,

Munyekenye

et al. 2023

Int. J. Res. Publ. Rev.

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Fingerprint is one of the oldest and most reliable biometric tools taken as legitimate proof of identification of an individual. Gender, ethnicity, and relationshipstatus are used as tools of individual identity and their associations with finger-print patterns have been demonstrated in previous studies but were inconsistent. The objective of this study was to describe the distribution of fingerprint patterns in a population in Western Kenya. The specific objectives were to determine the associations between finger print patterns and sub-patterns with fingers, gender, ethnic group, and sibling status in a population. In a cross-sectional observation study, a total of 240 study participants were recruited via clustered sampling technique. Demographic information was collected using a questionnaire. Fingerprints were collected using fingerprint ink pad and classified according to Henry's classification system. The association of fingerprint patterns with fingers, gender, ethnic groups and relationship-status was determined using the chi-square test. Statistical significance was set at P≤0.05. The frequency of arch, composite, loop, and whorl patterns were comparable across the five fingers as well as between gender and ethnic group for both the right and left arms (P>0.05). However, there was significant variation in the frequency of arch, composite, loop, and whorl fingerprint patterns for all the fingers between siblings and non-siblings (P<0.05).The ulnar loop was found to be the most occurring fingerprint sub-pattern across the five fingers, between the gender and ethnic group as well as between sibling and non-siblings. Plain whorl, radial loop, plain arch, tented arch, central pocket whorl, double whorl, loop arch composite and whorl arch composite followed respectively. There is similarity in fingerprint patterns across the fingers as well as between gender and ethnic groups but not siblings and non-siblings in Western Kenya. Therefore, fingerprint patterns may not be used to discriminate fingers, gender, and ethnic groups but can be used as a tool to distinguish between siblings and non-siblings in the population.

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“…These findings are similar to those reported by Fayrouz NE et al in 2012 [10], Shrestha I et al in 2019 [11], and Anyanwu LC et al in 2020. [12] The present study reports whorls (21, 43.8%) as the most common fingerprint pattern in males, followed by loops (19, 39.6%) and arches (8, 16.7%), while in females, the most common pattern was loops (68, 44.7%), followed by whorls (60, 39.5%), and the least common pattern was arches (24, 15.5%). These results are in accordance with the studies by Nithin MD et al [13] and Patil A et al [14].…”

Section: Discussionmentioning

confidence: 44%

Gender Identification by Fingerprint Pattern and Salivary Blood Group Antigen Expression: A Forensic Approach

Deshpande,

Choudhari,

Kavle

et al. 2024

Cureus

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Introduction Fingerprints found at the crime scene are important and valuable evidence, as they are unique to every individual. Determining the blood group from the blood samples obtained at the site of the crime helps in identifying a person. However, where blood stains are not available, saliva obtained at the crime site can be used to identify the victim. Since fingerprint patterns and blood groups are unique to every individual and remain unchanged throughout life, the correlation between dermatoglyphics and blood groups can be of use in victim identification. Objectives The present study is conducted with the objective of finding out if there is any association between the distribution of fingerprint patterns and blood groups and if this association is of use in gender identification. Materials and method Fingerprint patterns were determined in 200 (females: n = 152, males: n = 48) dental undergraduate students in the age range of 18 to 24 years. ABO blood grouping was done on saliva by using the absorption-elution method. To determine the accuracy of ABO blood group determination using saliva, it was correlated with the ABO blood grouping in blood. Observations and result The most common fingerprint pattern was found to be loops (87, 43.50%), followed by whorls (81, 40.50%) and arches (32, 16.00%). The most common blood group was B (68, 34%), followed by O (46, 23%) and A (42, 21%), and the least common was AB (12, 6%). A higher percentage of secretors in saliva was observed in females (130, 86%) than males (38, 79%). The correlation of gender with blood group and fingerprint pattern showed that in males, the most common blood group was B (20, 42%), and the most common fingerprint pattern was whorls (21, 44%). In females, the most common blood group was B (48, 32%), while the most common fingerprint pattern was loop (68, 45%). Conclusion Present study reports an association between blood group and dermatoglyphics, which may help in gender identification. Saliva can be used as a helpful tool in victim identification in cases where blood stains are not available.

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Variations of finger dermatoglyphics among the Esan ethnic group of Edo State, Nigeria

Cited by 6 publications

References 16 publications

The association between fingerprint patterns and blood groups in the Omani population

The association between fingerprint patterns and blood groups in the Omani population

Distribution of Fingerprint Patterns in A Population in Western Kenya

Gender Identification by Fingerprint Pattern and Salivary Blood Group Antigen Expression: A Forensic Approach

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