Research Article

Fingerprint pattern similarity: a family-based study using novel classification

Volume: 13 Number: 2 August 31, 2019
EN

Fingerprint pattern similarity: a family-based study using novel classification

Abstract

Objectives: Establishing that certain traits are inherited can be assessed from the extent of morphological similarity of the offspring and their parents. This study, evaluated the pattern similarity of the fingerprint of offspring to that of their parents using a novel classification.

Methods: Fifty families (comprising of father, mother and a child) without ethnic considerations were recruited and digital fingerprints were obtained. The fingerprints; arch (A), loop (L), and whorl (W) were identified and a novel classification (A, L, W, AL, AW, and LW) for heredity study as described by Aigbogun et al.(2018) was adopted. Chi-square analysis was used to test distribution differences, while a pedigree tree was designed for the offspring’s similarity to the parents.

Results: In this study, loop (L) was consistently predominant both as single (>60%) and combined distribution (>75%), followed by whorl (<25%) and then arch (<22%); although not entirely consistent for the whorl (W) and arch (A). The distribution except the ring finger (¯2=24.891; P=0.036) was not statistically significant (p>0.05). From the pedigree tree, the possibility that the offspring displayed patterns similar to that of the parental combinations was 84% for the thumb, 76% for the index finger, 84% for the middle finger, 88% for the ring finger, and 92% for the little finger.

Conclusion: Morphological evidence from this study suggests that fingerprints are more genetically determined than environmentally influenced; however, the pattern in which they are inherited seemed closer to co-recessivity with complex expressivity.



Keywords

References

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Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Authors

Chinagorom Ibeachu This is me
Nigeria

Publication Date

August 31, 2019

Submission Date

July 11, 2019

Acceptance Date

July 26, 2019

Published in Issue

Year 2019 Volume: 13 Number: 2

APA
Aigbogun, E., Ibeachu, C., & Lemuel, A. (2019). Fingerprint pattern similarity: a family-based study using novel classification. Anatomy, 13(2), 116-121. https://izlik.org/JA92SS77XL
AMA
1.Aigbogun E, Ibeachu C, Lemuel A. Fingerprint pattern similarity: a family-based study using novel classification. Anatomy. 2019;13(2):116-121. https://izlik.org/JA92SS77XL
Chicago
Aigbogun, Eric, Chinagorom Ibeachu, and Ann Lemuel. 2019. “Fingerprint Pattern Similarity: A Family-Based Study Using Novel Classification”. Anatomy 13 (2): 116-21. https://izlik.org/JA92SS77XL.
EndNote
Aigbogun E, Ibeachu C, Lemuel A (August 1, 2019) Fingerprint pattern similarity: a family-based study using novel classification. Anatomy 13 2 116–121.
IEEE
[1]E. Aigbogun, C. Ibeachu, and A. Lemuel, “Fingerprint pattern similarity: a family-based study using novel classification”, Anatomy, vol. 13, no. 2, pp. 116–121, Aug. 2019, [Online]. Available: https://izlik.org/JA92SS77XL
ISNAD
Aigbogun, Eric - Ibeachu, Chinagorom - Lemuel, Ann. “Fingerprint Pattern Similarity: A Family-Based Study Using Novel Classification”. Anatomy 13/2 (August 1, 2019): 116-121. https://izlik.org/JA92SS77XL.
JAMA
1.Aigbogun E, Ibeachu C, Lemuel A. Fingerprint pattern similarity: a family-based study using novel classification. Anatomy. 2019;13:116–121.
MLA
Aigbogun, Eric, et al. “Fingerprint Pattern Similarity: A Family-Based Study Using Novel Classification”. Anatomy, vol. 13, no. 2, Aug. 2019, pp. 116-21, https://izlik.org/JA92SS77XL.
Vancouver
1.Eric Aigbogun, Chinagorom Ibeachu, Ann Lemuel. Fingerprint pattern similarity: a family-based study using novel classification. Anatomy [Internet]. 2019 Aug. 1;13(2):116-21. Available from: https://izlik.org/JA92SS77XL

Anatomy is the official journal of Turkish Society of Anatomy and Clinical Anatomy (TSACA).