Finger and Palmar Ridge Pattern in NIDDM Patients and Controls

Similar documents
Role of Dermatoglyphic Fingertip Patterns in the prediction of Maturity Onset Diabetes Mellitus (Type II)

Plantar and digital dermatoglyphic patterns in Malawian patients with diabetes, hypertension and diabetes with hypertension

The Study of Dermatoglyphic in Simian Crease Group (The Human Masukake- Gata) at Minangkabau Ethnic, West Sumatra, Indonesia

STUDY OF PALMAR DERMATOGLYPHICS IN CARCINOMA

Dermatoglyphic Study in Oral Cancer and Precancerous Patients

DERMATOGLYPHICS STUDY IN CHILDREN WITH MENTAL RETARDATION

LESS COMMON DERMATOGLYPHIC PATTERNS ON THE PALM IN MORAVIAN POPULATION

Role Of Dermatoglyphics As A Potential Diagnostic Marker For Periodontitis: A Clinical Study

Original Article Dermatoglyphics: a study of finger tip patterns in bronchial asthma and its genetic disposition.

A Study of Dermatoglyphics in Insulin Dependent Diabetes Mellitus Dr.K.Sumangala Devi*, Dr.Mohammed Meraj Ahmed*

Pattern Intensity index, Dankmeijer Index, Main line formula, Main line index.

Palmar Dermatoglyphics in Essential Hypertension Amongst Rivers Indigenes

Qualitative analysis fingertip patterns in ABO blood group

Dermatoglyphic s in Congenital Cardiac Disease

Study of Fingertip Pattern in Diabetic Patients

A STUDY OF DERMATOGLYPHIC PATTERN IN CORONARY ARTERY DISEASE PATIENTS

ISPUB.COM. S Banik, D Mukherjee INTRODUCTION

Gender variation in finger prints of Esan ethnic group of Edo state, Nigeria

Use of palmar dermatoglyphics in rheumatoid arthritis - A case-control study

STUDY OF ATD ANGLE, FINGER RIDGE COUNT IN PULMONARY TUBERCULOSIS PATIENTS

Dermatoglyphic pattern in patients with bronchial asthma : A qualitative and quantitative study

Study of Palamar Dermatoglyphic Pattern in the Intersex of Selected Bengaluru Population

Comparison of Dermatoglyphic Pattern among Cleft and Noncleft Children: A Cross-sectional Study

Dermatoglyphic patterns in subjects with potentially malignant disorders and oral carcinoma

Validation studies on gender determination from fingerprints with special emphasis on ridge characteristics

Finger and Palm Prints in Chromatin-positive Males*

An Investigation of the Linkage Relationships of the Blood Groups and Types with Hand Patterns and Handedness

N. M. Scott. S. M. Weinberg. K. Neiswanger. College of Nursing Publications

Finger Dermatoglyphic Variations in Rengma Nagas of Nagaland India

I handedness are in general agreement in finding slight but nevertheless 'real

Dermatoglyphic Pattern in Relation to ABO, Rh Blood Group and Gender among the Population of Chhattisgarh

International Journal of Applied Ayurved Research ISSN: BASIC CONCEPTS OF PRAKRUTI IN AYURVEDA IN RELATION TO THE DERMATOGLYPHICS

Dermatoglyphics and Health

DERMATOGLYPHIC PATTERNS IN TYPE 2 DIABETES MELLITUS

Sickle-cell anaemia in Nigeria: dermatoglyphic analysis of 90 cases

Skin Carvings: Predictive Diagnosis in Modern Era

Intergenerational Trend of Some Dermatoglyphic Traits in Vaidyas of West Bengal, India

Dermatoglyphics, and its role in

Educational Items Section

Comparison of Dermatoglyphic Patterns Between Healthy and Hypertensive People

Association between Finger Patterns of Digit II and Intelligence Quotient Level in Adolescents

DERMATOGLYPHIC ANALYSIS OF NON-SYNDROMIC ORAL CLEFTS CASES, UNAFFECTED FAMILY MEMBERS AND CONTROLS. Shwetha Shri Rajagopalan

Identification and Correlation of the Multiple Intelligences and Finger Print Patterns

International Journal of Biological & Medical Research

Dermatoglyphics and Cheiloscopic Patterns in Cancer Patients; A Study in Ahmadu Bello University Teaching Hospital (ABUTH), Zaria, Nigeria

The distribution of fingerprint patterns with gender in Delhi, India Population A Comparative Study. Kaneeka Joshi 1

Fingerprint patterns in relation to gender and blood groups - A study in Navi Mumbai

Dermatoglyphic patterns, very low birth weight, and blood pressure in adolescence

Dermatoglyphics and Cheiloscopy in the Inheritance of Cleft Lip and Palate: Unraveling the Mystery

Aneuploidy: Dermatoglyphs, Parental Ages,

Diagnostic value of fingerprint patterns: An explorative study on beta-thalassemia diagnosis

Morphological and Dermatoglyphic Perculiarities in a Family with Autosomal Dominant Inherited Syndactyly

Prevalence of simian and Sydney creases in the Ijaws of South- South Nigeria

The Prevalence and Pattern Types of Palmar Digital Dermatoglyphics and Ridge Counts among Students of University of Gondar, Northwest Ethiopia

Evaluating the Relation Between Palmar Detmatoglyphics with Submucous Fibrosis and Squamous Cell Carcinoma of the Oral Cavity

Alzheimer type: a case-control study

FINGERPRINT PATTERN SIMILARITY: A ZYGOSITY TEST CLASSIFIER IN A THAI TWIN STUDY

Dermatoglyphics and Malocclusion-A Forensic Link

Hereditary index finger polydactyly: phenotypic, radiological, dermatoglyphic, and genetic findings

Using Pattern Area Ridge Flow in the Three Areas of the Palm to Determine Classification Trends

Prevalence of Under-nutrition among the Juangs

Title: Effects of Prenatal Alcohol Exposure on Ridge Counts and Patterns of the Fingertips.

Study on distribution of fingerprint patterns - A novel experiment for school students G. Nagaraj*, V. Tangpu *, K. Shantha Lakshmi** and R.

SWGFAST Glossary - Anatomy

Original article: How can Hands Fingerprints be inherited, and can we use them to early detection of bronchial asthma and Blood pressure

Contributions to the pathology of dermatoglyphics in some major brain affections

Gender Determination using Fingertip Features

Study of Anthropometric, Dermatoglyphic Traits and Symmetry of Feet in Folk Fars Girls of Birjand Aged from Birth to 10

A Statistical Examination of Friction Ridge Skin Patterns in the Interdigital, Hypothenar, and Thenar Areas of the Palms

Palmistry in Dentistry

Key Knowledge Generation Publication details, including instructions for author and Subscription information:

GENERAL FINGERPRINT FACTS

Original Research Paper. Study of Fingerprint Patterns in South Indian Population

A study on nutritional status of lactating mothers attending the immunization clinic of a Medical College Hospital of Kolkata, West Bengal

Dermatoglyphs of Digito-Palmar Complex in Autistic Disorder: Family Analysis

Sadana Adala 1, Prabhu GR 2*, Sridhar MS 3

Medical Significance of Finger-prints and Related Phenomena*

ISSN X (Print) Original Research Article. DOI: /sjams Narayana Institute of Medical Sciences, Puducherry, India

Role of Fingerprints in Analyzing Human Organ Genetic Disorders (Secrets Behind Finger Prints)

The Rubinstein-Taybi Syndrome

Percentiles Distribution of CVD Risk Factors in Elderly of Asian Indian Origin: The Santiniketan Longitudinal Study on Aging

Prevalence of cardiovascular disease risk factors in people of Asian Indian origin: Age and sex variation

Original Research QUALITATIVE ANALYSIS OF PRIMARY FINGER PRINT PATTERN IN DIFFERENT BLOOD GROUP AND GENDER IN NEPALESE.

MULTIFACTORIAL DISEASES. MG L-10 July 7 th 2014

The Inheritance of Fingerprint Patterns

The Study of Dermatoglyphic Patterns and Distribution of the Minutiae in Inherited Essential Hypertension Disease

A fara~illy study of derr~rtateghyphie traits ~ ;[~ad~a~

Relationship of thumb prints and lip prints among Nigerians

Turner Syndrome Dermatoglyphics: A Principal Components Analysis

ANATOMICAL DISPOSITION OF CARPAL BONES OF GOLDEN RETRIEVER DOG BY X-RAY EXPOSURE

Vermont Forensic Laboratory Physical Comparison Unit. William Appel Jennifer Hannaford Al Hogue Rachel Lemery

A Correlation Analysis for Estimation of Height from Head Breadth and Vertex Height

XYY Syndrome, and XYY/XXYY Mosaicism

Document #4 Guideline for the Articulation of the Decision-Making Process for the Individualization in Friction Ridge Examination (Latent/Tenprint)

REVISED DRAFT FOR COMMENT

Factors Influencing Smoking Behavior Among Adolescents

Tilburg University. Published in: Schizophrenia Research. Publication date: Link to publication

Normal fetal face and neck

A clinical study on branchial arch anomalies

2 Anonychia/Micronychia

Transcription:

Human Biology Review (ISSN 2277 4424) 5 (1) 2016 Human Biology Review Brief Report (Ghosh et al. pp.86-91) www.humanbiologyjournal.com Revised and Accepted on November 3, 2015 Finger and Palmar Ridge Pattern in NIDDM Patients and Controls J.R. Ghosh 1, P. Ghosh Dastidar 2, B. Dey 3, and A.R. Bandyopadhyay 4 Citation: Ghosh JR, Ghosh Dastidar P, Dey B, and Bandyopadhyay AR. 2016. Finger and Palmar Ridge Pattern in NIDDM Patients and Controls. Human Biology Review, 5(1),86-91. 1 Jyoti Ratan Ghosh, Ph.D., Department of Anthropology, Visva Bharati University, Santiniketan, West Bengal, India. E mail: jrghosh@rediffmail.com; jrghosh@visva-bharati.ac.in 2 Piya Ghosh Dastidar, M.Sc Student, Department of Anthropology, University of Calcutta, Kolkata, India. Email: piyaanthropologyvcw2014@gmail.com 3 Biswarup Dey, M.Sc, Department of Anthropology, University of Calcutta, Kolkata, India. Email: biswa.anth@gmail.com 4 Arup Ratan Bandyopadhyay, M.Phil., Ph.D., Department of Anthropology, University of Calcutta, Kolkata, India. Email: arup_cu@rediffmail.com Corresponding author: Jyoti Ratan Ghosh, Department of Anthropology, Visva Bharati University, Santiniketan - 731235, West Bengal, India. E mail: jrghosh@rediffmail.com; jrghosh@visva-bharati.ac.in ABSTRACT Dermatoglyphics is a heritable, durable, and age-independent trait in man and widely used as a model trait for population genetics and medical research. Present study is an attempt to understand the association of finger and hypothenar pattern types with non-insulin dependent diabetes mellitus (NIDDM). To achieve the purpose bilateral palm prints of 30 clinically diagnosed adult female NIDDM patients and 60 healthy adult females without having the history of diabetes as non-diabetic were incorporated from the Bengalee Hindu caste population of West Bengal, India. The result demonstrated higher frequency of ulnar loop, radial loop, composite and plain arch in NIDDM patients than nondiabetic individuals. The result also revealed higher occurrence of hypothenar pattern in NIDDM patients than that of non-diabetic individuals. There were significant (p<0.05) differences in finger ridge and hypothenar patterns between NIDDM and non-diabetic individuals. Therefore, the present study indicated that higher frequency unlar loop and hypothenar pattern as well as lower frequency of whorl may be used as a screening tool to identify the person at risk of developing NIDDM. Keyword: Dermatoglyphics, finger pattern type, hypothenar pattern, non-insulin dependent diabetes mellitus 86

Finger and Palmar Ridge Pattern in NIDDM Patient: Ghosh et al. (2016) pp. 86-91 INTRODUCTION Dermatoglyphics is the study of complex patterns of parallel ridges on the digits, palm and sole of humans (Cummings and Midlo, 1926). Dermal patterns are genetically determined and fully formed between 7 th to 24 th weeks of gestation (Bablar, 1991), and remain unaltered throughout the life of an individual (Cummins and Midlo, 1943). Dermatoglyphics as a diagnostic tool is well established for a number of diseases with strong hereditary basis and is also used as a screening aid for abnormal anomalies (Schumann and Alter, 1976; Bhat et al., 2014), including chromosomal aberrations (Suzumari, 1980). In addition to that, dermatoglyphics has also been subject matter of many studies of complex and non-communicable diseases like congenital heart disease (Alter and Schulenberg,1970), schizophrenia (Van et al., 2001), breast cancer (Chintamani et al., 2007), autism (Dey et al., 2014), and E-β thalassemia (Das et al., 2015). Apart from these, several studies also demonstrated significant association of dermatoglyphic traits with diabetes mellitus (Sant et al., 1983; Sengupta and Boruah, 1996; Sharma and Sharma, 2012; Srivastava and Rajasekar, 2014). However, very few studies (Ravindranath et al., 2005; Vadagaonkar et al., 2006; Rakete et al., 2013) have been done on NIDDM patients, especially in Eastern India. In view of the above, the objectives of the present study ware to understand the associations of finger and hypothenar pattern types with NIDDM. MATERIALS AND METHODS The present cross-sectional study was carried out on ninety adult Bengalee Hindu females of Kolkata, West Bengal, India. Among them 30 individuals were clinically diagnosed NIDDM patients and 60 were apparently healthy individuals, without having the history of diabetes. The mean age of NIDDM patients and controls was 55.8 (±12.96) years and 52.84 (±8.96) years, respectively. Data on age, sex, ethnicity, medical and family history of diabetes were obtained by using structured questionnaire. For dermatoglyphic print, subjects were asked to wash their hands with soap and water to remove any dirt or oil. Bilateral finger and palm prints of each individuals were then collected according to the widely used standard ink and roller method proposed by Cummins and Midlo, 1943. The finger and palmer prints were analyzed qualitatively and quantitatively following Schumann and Alter s (1976) classification. Parameters studied were finger print patterns and hypothenar ridge patterns. Individuals were informed in detail about the study and their informed consent was obtained before the commencement of the study. Chi-square test was used to compare the finger print and 87

Human Biology Review (ISSN 2277 4424) 5(1) Ghosh et al. (2016) pp 86-91 hypothenar ridge pattern between NIDDM patients and normal individuals. All the data were analyzed by using SPSS (version 16.0) and the cut off value was set as, p <0.05. RESULTS AND DISCUSSION Distribution of finger ridge patterns among NIDDM and non-diabetic individuals are presented in Table 1. It revealed that the prevalence of whorl, ulnar loop, radial loop, plain arch, tented arch and composite among NIDDM patients were 18.33%, 60%, 2%, 9%, 0.33% and 10.67%, respectively. However, these were 32.5%, 52.67%, 1.33%, 5.17%, 1.5% and 6.83%, respectively for whorl, ulnar loop, radial loop, plain arch, tented arch and composite among non-diabetic individuals. Thus, ulnar loop was commonly observed in NIDDM patients as compared to nondiabetic and the frequency of whorl was reduced in NIDDM patients as compared to nondiabetic individuals. The frequency of plain arch and composite were also higher among NIDDM patients than non-diabetic individuals and there were significant (p<0.05) differences in the finger ridge patterns between NIDDM and non-diabetic individuals. In accordance with other studies (Ravindranath et al., 2005; Gabriel and Babajide, 2004), the present study also observed higher ulnar loop and lower whorl frequency among patients. Lower frequency of whorl and higher frequency of ulnar loop and arch among NIDDM females than non-diabetics were also observed by Burute et al., 2013. However, in contrast to the present study, a recent study by Rakate et al. (2013) demonstrated increased frequency of whorl and lower frequency of ulnar loop among NIDDM patients. The distribution of hypothenar ridge patterns among NIDDM and non-diabetic individuals (Table 2) revealed that the pattern was present in 66.67% and 73.33% on left and right hand of NIDDM patients, respectively. On the other hand, the pattern was present in only 31.67% and 28.33% on left and right hand of non-diabetic individuals, respectively. When both hands were considered, the hypothenar pattern was present in 76.67% NIDDM patients and 40% nondiabetic individuals. The present study revealed significantly (p<0.05) higher frequency of hypothenar (palmar) patterns on both hands of NIDDM patients than that of non-diabetic individuals. A recent study by Sharma and Sharma (2012) was also observed higher frequency of hypothenar patterns among patients compared to controls. The association of palmar ridge patterns with medical disorders were observed in other studies also (Cummins and Midlo, 1943; Penrose, 1963; Schumann and Alter, 1976). 88

Finger and Palmar Ridge Pattern in NIDDM Patient: Ghosh et al. (2016) pp. 86-91 CONCLUSION In conclusion, the result of the present study revealed increased number of unlar loop and decreased number of whorl in NIDDM patients along with higher prevalence of hypothenar pattern as compared to non-diabetic individuals. Thus, the dermatoglyphic features of the present study may be used as a screening tool to identify the persons at risk of developing NIDDM. However, one of the limitations of the present study is the small sample size. Further studies are needed among a larger sample for effective prevention strategies. Table 1: Distribution of finger ridge patterns among NIDDM and non-diabetic individuals Left hand Groups NIDDM patients Nondiabetic NIDDM patients Nondiabetic NIDDM patients Nondiabetic *p<0.05 Right hand Both hand Finger Pattern Types (%) Whorl Ulnar Radial Plain Tented Composite Loop Loop Arch Arch No (%) No (%) No (%) No (%) No (%) No (%) 23(15.33) 90(59.99) 4(2.67) 15(9.99) 1(0.67) 17(11.33) 100(33.00) 157(52.33) 3(1.4) 17(5.67) 6(2.4) 17(6.8) 32(21.33) 90(59.99) 2(1.33) 12(7.99) 0(0) 14(9.33) 96(31.99) 158(52.99) 4(1.4) 15(4.86) 3(1.2) 24(9.6) 55(18.33) 180(60) 6(2) 27(9) 1(0.33) 32(10.67) 195(32.5) 316(52.67) 8(1.33) 31(5.17) 9(1.5) 41(6.83) χ 2 value 22.744* 8.186 27.574* Table 2: Distribution of hypothenar ridge patterns among the NIDDM and non-diabetic individuals Groups Hypothenar patterns present (%) Hypothenar patterns absent (%) NIDDM patients 66.67 33.33 Left hand Non-diabetic 31.67 68.33 NIDDM patients 73.33 26.67 Right hand Non-diabetic 28.33 71.67 NIDDM patients 76.67 23.33 Both hand Non-diabetic 40 60 *p<0.05 χ 2 value 9.977* 16.493* 10.777* 89

Human Biology Review (ISSN 2277 4424) 5(1) Ghosh et al. (2016) pp 86-91 Acknowledgement: Authors are grateful to all the participants for their cooperation. REFERENCES Alter M, Schulenberg R. 1970. Dermatoglyphics in congenital heart disease. Circulation 41:49 54. Alter M. 1966. Dermatoglyphic analysis as a diagnostic tool. Medicine. 46: 35-55. Babler WJ. 1991. Embryologic development of epidermal ridges and their configurations. In: Plato CC, Garruto RM, Schaumann BA, editors. Dermatoglyphics: science in transition. Birth defects. Wiley- Liss. New York. Bhat GM, Mukhdoomi MA, Shah BA, Ittoo MS. 2014. Molecular dermatoglyphics: in health and disease - a review. Int J Res Med Sci 2:31-37. Burute P, Kazi SN, Vatsalaswamy, Arole V. 2013. Role of dermatoglyphic fingertip patterns in the prediction of maturity onset diabetes mellitus (type II). IOSR-JDMS 8:1-5. Chintamani KR, Mittal A, Saijanani S, Tuteja A, Bansal A, Bhatnagar D, Saxena S. 2007. Qualitativeand quantitative dermatoglyphic traits in patients with breast cancer: a perspective clinical study. BMC Cancer 7:44. Cummins H, Midlo C. 1926 Palmar and plantar epidermal ridge configurations (dermatoglyphics) in European-Americans. Am J Phys Anthrop 2: 471-502. Cummins H, Midlo C. 1943. Finger prints, palms and soles: an introduction to dermatoglyphics. Dover Publication, INC. New York. Das P, Ghosh JR, Bandyopadhyay AR. 2015. Association of finger ridge pattern and E-betathalassemia: a study on Bengalee population of West Bengal, India. Adv Antropol 5: 19-21. Dey B, Ghosh JR, Bandyopadhyay AR. 2014. A study on axial triradius among the Autistic patients of Bengalee Hindu caste populations of West Bengal. IJBR 5: 715-716. Gabriel SO, Babajide MO. 2004. Dermatoglyphic patterns in diabetes mellitus in a south eastern Nigerian population. Afr J of Appl Zool & Environ Biol 6: 6-8. Penrose LS. 1963. Finger-prints, palms and chromosomes. Nature 197: 933-938. Rakate NS, Zambare BR. 2013. Comparative study of the dermatoglyphic patterns in type II diabetes mellitus patients with non-diabetics. Int J Med Res Health Sci 2: 955-959. Ravindranath R, Joseph AM. 2005. Fluctuating asymmetry in dermatoglyphics of non-insulin dependent diabetes mellitus in Bangalore-based population. Ind J Human Genetics 11: 149-153. 90

Finger and Palmar Ridge Pattern in NIDDM Patient: Ghosh et al. (2016) pp. 86-91 Sant SM, Vare AM, Fakruddin S. 1983. Dermatoglyphics in diabetes mellitus. J Anatomical Society India 35: 29-32. Schauman B, Alter M. 1976. Dermatoglyphics in medical disorders. Springer Verlag. New York-Heidelberg Berlin. Sengupta S, Boruah J. 1996. Finger dermatoglyphic patterns in diabetes mellitus. J Hum Ecol 7:203-206. Sharma MK, Sharma H. 2012. Dermatoglyphics: a diagnostic tool to predict diabetes. JCDR 6: 1-6. Srivastava S, Rajasekar SS. 2014. Comparison of digital and palmar dermatoglyphic patterns in diabetic and non-diabetic individuals. IOSR-JDMS 13: 93-95. Suzumori K. 1980. Dermatoglyphics analysis of fetues with chromosomal aberration. Am J Hum Genet 32: 859-868. Vadgaonkar R, Pai M, Prabhu L, Saralava V. 2006. Digito-palmar complex in non-insulin dependent diabetes mellitus. Turk J Med Sci 36: 353-355. Van OCJ, Baare WF, Hulshoff PHE, Haag J, Balazs J, Dingemans A, Kahn RS, Sitskoorn MM. 2001. Differentiating between low and high susceptibility to schizophrenia in twins: the significance of dermatoglyphic indices in relation to other determinants of brain development. Schizophr Res 52:181-93. 91