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Wakde, Kasulkar, and Warjurkar: Relationship of fingerprint with gender in medical college of Central India


Introduction

Fingerprint or Dermatoglyphics is the study of dermal ridges and bridges pattern on volar surface of digits, palm and sole. Development of fingerprint is determined partly by hereditary and partly by environmental and accidental factors which produces tension during the process of development. The ridge pattern of fingers appears between 12 to 16 weeks of intrauterine life and is completed by 24 weeks. The fingerprints are capable of endless variation. It has been hypothesized that there is one chance in sixty-four billion of the two people having identical fingerprint. The two identical twins also have different fingerprints. During the process of ridge pattern formation any disturbances in intrauterine growth which affect the extremity leads to abnormal fingerprint pattern. The disturbances may be due to hereditary or environmental factors.1, 2, 3, 4, 5

Fingerprint holds as the surest data for identification even in this techno savvy world having various methods of identification. Fingerprints are now days used to validate presence of individual in many institutes and offices. Dermatoglyphics never change its pattern, unless the finger is mutilated.3, 4, 5, 6, 7, 8, 9, 10

Aim and Objective

To examine the patterns of fingerprints found in different sexes and to find out the variations in them.

Materials and Methods

Study sample

The study was conducted among 100 participants (50 males and 50 females) of the age group 18-22 years at NKP Salve Institute of Medical Sciences & Research Centre and Lata Mangeshkar Hospital, Nagpur for a period of 2 months. The study was approved by Institutional Ethics Committee.

Methodology

The participants were informed about the purpose of research. Written informed consent for voluntary participation in the research work was obtained from all the participants.

Procedure

After preparing files for males and females 50 each with name, age, gender, the subjects were asked to clean their hands with tap water and soap and dry them to remove dirt. They were asked to roll their finger bulbs by keeping their arm relax, on forensic fingerprint ink pad in such a way that the ink is applied to tip of finger evenly by rolling the thumb towards the body of subjects and while keeping other fingers out. In the way rolled fingerprints were taken by rolling the fingers on paper from outward to inward in order to obtain an impression of whole finger tip (Ink method by Cummins and Midlo). The procedure was repeated in cases of undesirable prints of fingers. The fingerprint pattern obtained was classified into the loops, whorls, arches and composite form with the help of magnification lens. The ratios were calculated to determine the prevalence of the fingerprint pattern among the gender.

χ2 test is applied for statistical analysis and differences in the finding in both the sexes was studied with unpaired t-test. SPSS software (version 15.0) was used to analyze the data.

Results

We analyzed 1000 prints of 100 participants including all the fingers of both the hands after classifying them according to Kucken classification (Table 1). Some patterns are depicted in Figure 1.

Table 1

Pattern of fingerprints observed

S.No.

Pattern of fingerprints

Number (%)

1

Loops

575 (57.5)

2

Whorls

370 (37)

3

Arches

40 (4)

4

Composite

15 (1.5)

5

Total

1000 (100)

Figure 1

Pattern of fingerprints observed

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/be7a6cb9-1943-482f-8efd-e758957ac83bimage1.jpeg

It is quite clear from the above Table 2 that the combined results of both sexes, loop pattern was the commonest (57.5%) followed by Whorls (37%), Arches (4%), and Composite pattern (1.5%).

Table 2

Gender differences in distribution of fingerprints

S.No.

Type of Fingerprint

Males (%)

Females (%)

1

Loop

225 (45)

350 (70)

2

Whorls

253 (50.6)

120 (24)

3

Arches

15 (3)

25 (5)

4

Composites

7 (1.4)

5 (1)

5

Total

500(100)

500 (100)

Similarly, from Table 2, it was also seen that the results of variable distribution of fingerprints in different sexes differ from that of the observed combined results of both the sexes. Loop pattern was found higher in females (70%) than that of males (45%), whereas whorls dominated in males (50.6%) in contrast to females (24%). Arches were observed more in females (5%) when compared to males (3%), while composite pattern was very feeble and almost same occurrence in both the sexes.

Discussion

Importance of Forensic Medicine lies in personal identification of unknown bodies and in all unnatural deaths including mass disasters. Again identifying the gender is next challenge. 11 One of the best methods of identification is Dactylography as the prints do not change throughout the life irrespective of superficial injury.12 Our result showed that Loop pattern dominated in females whereas the previous study showed the equal distribtion in both sexes.11 We found whorls pattern preponderance in male in contrast to Loop pattern preponderance in female. Similar result was observed in a study by Rastogi P et al13 and Sam NM et al.14 Most common pattern seen in present study was loop followed by whorls, arches and least prevalent was composite.

Focusing the discussion on gender difference in finger prints, our study was comparable to study done by Rastogi P et al13 done on medical students of Mangalore, showing dominance of loops in females and whorls in males and by Karki RK et al15 done on students of Kathmandu, while it differs from the study done by Sam NM et al 14 done on South Indians, which shows loops predominance in both the sexes. Female showed arch pattern more than male which was comparable to a study done by Deopa D et al16 on medical students of Uttarakhand.

Conclusion

The most effective tool of identification in medical sciences is Fingerprint System. It’s effective in not only identification of individual but also in gender identification. Results of this study are helpful for fingerprint analyzers to help reaching out a specific gender.

Source of Funding

None.

Conflict of Interest

None.

Acknowledgement

We are thankful to all the participants for their cooperation for the study.

References

1 

F Khan U Bachh Relationship of fingerprint with gender among medical students in MangloreIJFMT20191343740

2 

NK Das RP Tamuli B Saikia S Sarmah Fingerprint patterns of MBBS students: A study from AssamInt J Med Health Res2018441821

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K Vij Textbook of Forensic Medicine and Toxicology. 3rdn.3ElsevierNew Delhi20058991

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D Eboh Fingerprint patterns in relation to gender and blood group among students of Delta State University, Abraka, NigeriaJ Exp Clin Anat201312282

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R Afza N Khurshid A study of fingerprints in relation to gender: A study done on medical students of Skims Medical College SrinagarInt J Adv Res2019773169

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LN Bandameedi KCR Yerukala AK Mohammed Study of fingerprint patterns in relation to gender and blood groupJ Evolution Med Dent Sci20165146303

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RP Krishnan R Thangavelu R Rathnavelu M Narasimhan Gender determination: Role of lip prints, finger prints and mandibular canine indexExp Ther Med2016116232932

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10 

G Gyula A short history and some results of the dermatoglyphic studies in HungaryActa Biol Szeged2000441-41358

11 

A Nagasupriya R Dhanapal K Reena TR Saraswathi CR Ramachandran Patterns - “A crime solverJ Forensic Dent Sci20113137

12 

R Kaur S G Mazumdar D Bhonsle A study on various methods of gender identification based on fingerprintsInt J Emerg Technol Adv Eng201225327

13 

P Rastogi KR Pillai A study of fingerprints in relation to gender and blood groupJ Indian Acad Forensic Med201032114

14 

NM Sam P Rema NB Venugopalan Study of fingerprint patterns in South Indian populationJ Indian Acad Forensic Med201537436973

15 

R K Karki P K Singh Gender determination from fingerprintsJ Univ Coll Med Sci201421125

16 

D Deopa C Prakash I Tayal A study of fingerprint in relation to gender and blood group among medical students in Uttarakhand regionJ Indian Acad Forensic Med2014361237



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