Gender Prediction from the Primary Fingerprint Pattern: A Study among Medical Students in Ambrose Alli University, from the Primary Pattern: A Study among

anthropometry, dactyloscopy, fingerprinting, sex determination, estimation of age, measurement of height, post‑mortem reports, differentiation by blood groups as well as race, handwriting, skin texture and garments. The most important of these parameters is the fingerprints which often provide the positive identification of an individual or suspect because it is unique, durable and permanent [4]. Fingerprints are impressions of the unique characteristic mark or pattern curved lines of skin at the end of a finger that is left on a surface or made by pressing an inked finger onto paper. Some of the earliest works on the use of fingerprints for personal identification carried out in India so many Human fingerprint is characterized by various types of ridge classified as or with each having unique with respect to a point a and constitute all The affecting development and AbsTRACT


Introduction
Identification of humans is a necessity for personal, social and legal reasons [1] and involves functional or psychic, normal or pathological characteristics that may define the individual [2]. The methods of identification according to Vahanwala [3] and Bansal et al. [4] include anthropometry, dactyloscopy, fingerprinting, sex determination, estimation of age, measurement of height, post-mortem reports, differentiation by blood groups as well as race, handwriting, skin texture and garments. The most important of these parameters is the fingerprints which often provide the positive identification of an individual or suspect because it is unique, durable and permanent [4]. Fingerprints are impressions of the unique characteristic mark or pattern curved lines of skin at the end of a finger that is left on a surface or made by pressing an inked finger onto paper. Some of the earliest works on the use of fingerprints for personal identification were carried out in India so many years ago [5,6].
Human fingerprint is characterized by various types of ridge patterns classified as "Loop", "Whorl" or "Arche", with each having unique characteristics with respect to a reference point called a Triradius [7] and constitute 60-65, 30-35 and 5 % of all fingerprints, respectively [8]. The factors affecting the development of fingerprints towards a regular shape (such as size, degree of stoutness, growth rate of bone and thickness of subcutaneous fat) eventually result in the diversity of fingerprints [9]. Fingerprint

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Many studies on dermatoglyphics patterns have proven useful for identification and disease prognosis but there are only few studies among Africans and the Nigerian population in particular. Toward this purpose, this study is aimed to investigate the prevalent fingerprint patterns of healthy population among Medical Students in Ambrose Alli University, Ekpoma-Nigeria and the association between genders. The ink method was used to collect prints from the right and left fingers of 200 (100 each of females and males) medical students who gave consent and has no deformation of the digits. The data were analyzed for descriptive statistics after putting data into statistical package for social sciences (version 20). The most prevalent finger prints were the loop (n=886) and whorl (n=776). The different primary fingerprints were more prevalent in the left hand compared to the right hand but the different was not significant (p=0.698). There was a non-significant higher (p=0.391) whorl fingerprint pattern in the male (51.5%) but the loop (52.0%) and arches (51.0%) patterns in the female. The loop (54.7%) and arches (52.4%) patterns were more in the female with respect to their right hand while male represented more in the whorl (53%) and loop (51%) in the left hand. This study showed that the loop and whorl types of fingerprints are the most prevalent among medical students and there is no variation in the fingerprints patterns of male and female medical students. By implication, the primary fingerprints pattern may not be a useful prediction tool of gender classification of medical students.
is genotypically determined and it is affected by intrauterine environment in the first trimester of pregnancy though they are characterized by alternating strips of raised frictional ridge and depressed grooves on the fingertips [8]. The characteristic patterns of epidermal ridges are differentiated in their definitive forms during the third and fourth months of fetal life [10] and they remain unchanged from birth till death [11]. Dermatoglyphics; the scientific study of epidermal ridge patterns of the skin of the fingers, palms, toes, and soles [12] have been widely employed in areas as anthropology, genetics and evolutionary studies in characterizing populations, analyzing the nature and origin of human variability, population structure assessment, and the microdifferentiation among populations [12][13][14][15]. Although many studies on dermatoglyphics patterns have been conducted in different parts of the world, there are only limited studies carried out so far in Africa [16][17][18][19]. Study of finger prints among medical students in Nigeria is limited and hence the focus of this study.

Sample Size Determination
Using a prevalence rate of 14%, sample size was determined using the formula by Araoye [20] and this gave a 185 respondent but was approximated to 200 for a higher precision. This was divided into both sex and comprises of 100 each of male and female.

Ethical Consideration
Ethical permission for this study was sought and obtained from Ambrose Alli University Research and Ethics Committee and informed consent of participating students were obtained. Data collection was in compliance with the Declaration of the Right of the subject as documented in the Helsinki declaration [21].

Inclusion Criteria
Medical students in their 100 to 500 levels of the College of Medicine who gave consent and had no loss/deformation of the limbs or digits were included in this study.

Sampling Techniques
The sampling techniques that will be used in this study for selection of subjects will be the purposive sampling technique where participants will be chosen based on characteristics of a population and the purpose of the study. Two hundred Students of College of Medicine Ambrose Alli University, were recruited for this study.

Instrument for Data Collection
Using self-structured research questionnaires, social demographic profile were collected. The Indian ink method by Cummins [22] was used to collect digital prints on fingers. Briefly, the subjects were asked to clean their hands with soap and water and allowed to dry but with some moisture. Requisite amount of ink was rubbed on the stamp pad and was uniformly spread. The left hand of the subject was placed on the stamp pad which is placed on a hard surface. The fingers printed the tip of the fingers was rolled from the radial to ulnar side to include all the patterns. The same procedure was repeated for the right hand. The ink removed from the subject hands with the aid of about 1% HCL which will neutralize the ink. The prints were analyzed and classified with the help of a hand lens.

Data Analysis
Data obtained were coded and entered into Statistical Package for Social Scientists (SPSS) version 20.0 software spread sheet and then analyzed. Test of significance was done using the chi-square. All tests were at 95% confidence level. Table 1 shows the socio-demographic characteristics of the studied participants. Majority of the participants were within the ages of 18 to 20 years (46.5%) and 42% of them were from the Esan ethnic group. They were mainly Christian (88.5%). Figure 1 shows the distribution of the different fingerprints among the studied participants. There were more loop (n=886) followed by whorl (n=776) while the arche (n=306) was least represented among the three primary fingerprints. Table 2 shows the relationship fingerprint patterns distribution between left and right hand.

Results
The whorl, loop and arches pattern of fingerprints were more represented in the left hand (50.5%, 52.5% and 51.5% respectively) compared to the right hand (49.5%, 47% and 48.5% respectively).
The different in distribution between the left and right hands was not significant (p=0.698).   Figure 1: Distribution of the different types of fingerprints. Table 3 shows the relationship between gender and finger print patterns. The whorl finger print pattern was common in the male (51.5%) while the loop and arches patterns were more common in the female (52.0% and 51.0% respectively). However, the difference in distributions of these fingerprints between gender were not significant (p=0.391). Table 4 shows the relationship between gender and fingerprint patterns distribution in right and left hands.
In the right hand, the whorl pattern was 50% in both genders while females represented more in the loop (54.7%) and arches (52.4%) patterns. However, in the left hand, male represented more in the whorl (53%) and loop (51%) while female presented more in the arches pattern (55%). Statistically, there were no significant difference in the pattern of fingerprint distribution in the right (p=0.402) and left hand (p=0.192) between gender.

Discussion
The dermatoglyphic science is based on facts that the ridges are slightly different for different fingers, individuals (even monozygotic twins) and are permanent throughout life after the 21st week intrauterine life [23] and these qualified the ridges as identification tool. This study demonstrated the loop and whorl patterns to be the most prevalent fingerprints among medical students either on the right or left hand. This is consistent with other studies done in Nigeria that observed loop as the highest frequency, followed by whorl and then arch pattern [24,25]. Studies in other parts of Africa have reported similar dermatoglyphic patterns but with variations in percentages [26,27]. In fact, it is documented that 60-65%, 30-35% and 5 % constitute of the loop, whorl and arches fingerprints respectively by Wijerathne et al. [8] This finding correlates with other population studies among students of Delta state University,

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Abraka, Nigeria [2] suggesting that the current results could be a reflection of the prevalence fingerprints in the population of Nigeria.
In the current study, males have higher percentage of whorl reported no significant association between gender and the five fingerprints of each hand and thumb print patterns respectively.
According to Adamu [30] in identity determination, adequate and reliable knowledge of sex with certainty reduces the process of identification by 60% using fingerprint ridge counts and density.
However, Iso-Iso et al. [31] documented that the thumbprint ridge count shows gender dimorphism in the Nigerian population.

Conclusion
In conclusion, this study showed the loop and whorl to be the most prevalence fingerprints no association of these fingerprints with gender among medical students of Ambrose Alli University in Ekpoma. Judging by these findings, it can be deduced that the prediction of medical students' gender may not be possible from the distribution of the primary fingerprint pattern.