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Journal of Biology, Agriculture and Healthcare www.iiste.org
ISSN 2224-3208 (Paper) ISSN 2225-093X (Online)
Vol.3, No.7, 2013
80
Dermatoglyphic Patterns of Autistic Children in Nigeria
Oladipo Gabriel S. (PhD-Corresponding author) Department of Human Anatomy, Faculty of Basic Medical
Sciences, College of Health Sciences, University of Port Harcourt, PMB 5323 PortHarcourt-Nigeria.
E-mail:oladipogabriel@yahoo.com Tel:+2348050428628
Okoh Peter D (FICS)
Department of Surgery, Faculty of Clinical Sciences, College of Health Sciences, University of Port Harcourt,
PMB 5323 Port Harcourt-Nigeria.
E-mail:peterokoh2002@yahoo.com. Tel: +2348036750996
Oghenemavwe Loveday E.(PhD)
Department of Human Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of
Port Harcourt, PMB 5323 PortHarcourt-Nigeria.
E-mail: loveday.oghenemavwe@uniport.edu.ng Tel: +2348033527090
Yorkum Leyira K.(MSc)
Department of Human Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of
Port Harcourt, PMB 5323 PortHarcourt-Nigeria.
E-mail:kennethleyira@yahoo.com Tel: +2348063599887
ABSTRACT
Dermatoglyphic patterns have positive correlation in a number of genetic diseases. This research was carried out
to determine any possible relationship between dermatoglyphics and autism in Nigeria using digital and palmar
patterns, total ridge count, a-b ridge count and crease pattern. The digital and palmar prints of 20 autistic subjects
from an autistic centre in Port Harcourt, Rivers state Nigeria were taken with parental guidance. The percentage
frequency distribution of the digital pattern of the autistic subject was 49.5% for the arch, 18.5% for the whorl,
28.5% for the ulnar loop and 3.5% for the radial loop against 44% for the ulnar loop, 25.5% for the arch, 22% for
the whorl and 8.5% for the radial loop for normal subjects. The mean values of the a –b ridge counts on the right
and left hands of autistic male were 34.66 and 33.33 against 36.40 and 31.33 in non-autistic children
respectively while in female they were 38.6 and 35.8 against 41.40 and 38.6 respectively.
Though no statistical significant difference was observed when the two groups were compared (P>0.05). It was,
however, observed that the number of the total ridge counts in the right and left hands of the autistic children
were lower than those of the normal subjects. Thus, there is need for further investigation using larger sample
size. The data from this study will serve as a good reference for future study on this subject in Nigeria.
Key Words: Dermatoglyphics and Autism
INTRODUCTION
Autism is a complex developmental disorder or disability that typically appears during the first three years of
life.The term autism was derived from a Greek word “Auto” meaning self, thus it is also defined as the tendency
to morbid self absorption at the expense of regulation by outward reality. Autism impairs the normal
development of the brain in the area of social interaction and communication skills. Children and adult with
autism typically have difficulties in verbal and non-verbal communication, social interactions, and leisure.
Autism is the most common of the pervasive Developmental Disorders, affecting an estimated 2 – 6 per 1,000 or
0.002 – 0.006% individuals, this means that as many as 300,000 to 900, 000 Nigerians today are believed to have
some form of autism. It is four times more prevalent in boys than girls. Autism is mutifactorial, that is it is
influenced by both genetic and environmental factors (Walker, 2005).
Studies have shown that a positive correlation exist between dermatoglyphics and some disease conditions,
especially those with genetic basis. Such conditions include those associated with organic mental
retardation(Boroffice,1978;Steveson et al.,1997;Than et al.,1998;Franceschini et al.,2002).It has been suggested
also that dermatoglyhic studies may aid in the diagnosis of such conditions(Rex and Preus,1982;Schmnidt et
al.,1981).Nervous system disorders of functional ethiopathogenesis have also been positively correlated with
dermatoglyphics. These include schizophrenia(Oladipo et al.,2005) and schizotypal personality(Van-Os et
al.,2000).Reports are also available on the correlation of Dermatoglyphics in Diabetes mellitus(Oladipo and
Ogunowo,2004), Idiopathic(primary) dilated cardiomyopathy(Oladipo et al.,2007) , breast cancer(Oladipo et
al.,2009), epileptic disorder (Bogdanov et al., 1999), rheumatism(Belov and Miakotkin, 1988) prostate cancer
(Oladipo et al.,2009;Howard et al., 1988 ).
This study was carried out to determine any possible correlation between dermatoglyphic patterns and autism in
Nigeria.
Journal of Biology, Agriculture and Healthcare www.iiste.org
ISSN 2224-3208 (Paper) ISSN 2225-093X (Online)
Vol.3, No.7, 2013
81
MATERIALS AND METHODS
In this study, 20 autistic (16 males and 4 females) and 20 non autistic (16 males and 4 females) children were
selected from the Autistic Centre and the Catholic Special Child Day School in Port Harcourt Rivers State,
Nigeria. All subjects were Nigerians by both parents and grandparents.
The parents/guidance of the children were administered a questionnaire containing their names, age, sex
background and behaviour to fill to make sure they fall into the category.
Fingerprints were then taken with white paper and purple ink pad (Penrose,1963). Hands were thoroughly
washed with water and soap and dried before taking prints. This was done to remove dirt from the hands.
Screening was done on the white duplicating paper containing the prints with the aid of a magnifying glass. No
distinction was made between the varieties of whorl (w) patterns, also tented arch was recorded as an arch
(A).Loop was recorded as either ulnar loop (UL) or radial loop (RL).All the patterns were as defined by Penrose
(1963).A straight line was drawn to join A and B triradii and the number of intersecting ridges counted. These
gave A-B ridge counts(Figure 1).
The various digits were designated as follow: Thumb- i; Index finger-ii; Middle finger-iii; Ring finger-iv; Little
finger-v. L and R stand for left and right respectively.
Data analysis: The student t-test and chi-square test were used for statistical analysis at significant level of 0.05.
Figure 1: Scheme to show digital patterns, a,b,c,d and triradii, and palmar crease .
RESULTS
The mean percentage frequency distribution of digital pattern among autistic and normal subjects (left hand) is
summarized in table 1.Arch and Radial loop had the highest number in autistic patient compare to normal
subjects. While the Whorl and Ulnar loop showed the highest percentage frequency in normal subject compare to
autistic patients.
The mean percentage frequency distribution of digital pattern among autistic and normal subjects (right hand) is
summarized in table 2. Arch and Ulnar loop had the highest frequency in autistic patient compare to normal
subjects. While the Whorl and Radial loop showed the highest percentage frequency in normal subject compare
to autistic patients.
The total ridge counts on each digit of autistic patients is summarized in table 3,the total ridge count is higher on
the left hand compared to the right hand, although within the highest count on the thumb of the right hand.
The total ridge counts on each digit of normal subjects is summarized in table 4,In normal subjects the total
Journal of Biology, Agriculture and Healthcare www.iiste.org
ISSN 2224-3208 (Paper) ISSN 2225-093X (Online)
Vol.3, No.7, 2013
82
ridge count is also higher on the left hand as compare to the right, but the overall total count is about twice
higher in normal subject compare to autistic patients
The mean, standard deviation and standard error of A-B ridge count of both normal and autistic male and female
subject is summarized in tables 5 and 6.A-B ridge counts is observed to by higher in both normal and autistic
females than male, but no significant difference was observed statistically.
DISCUSSION
Dermatoglyphic analysis of the digital patterns in Down’s syndrome and normal individuals showed a
statistically significant different of 96% loop pattern as against 63.6% in normal (Boroffice, 1978). No such
difference was observed in the present study.
On the right palm arch and ulnar loop had the highest frequency in autistic patient compare to normal subjects.
While the Whorl and Radial loop showed the highest percentage frequency in normal subject compare to autistic
patients, on the left palm arch and radial loop had the highest number in autistic patient compare to normal
subjects. While the Whorl and Ulnar loop showed the highest percentage frequency in normal subject compare to
autistic patients.
In this study it was observed that the total ridge count of both right and left hands of the normal subjects were
higher compare to those of autistic patients, our findings is in line with that of Walker, 2005,who compared the
dermatoglyphic patterns of autistic children to control subjects matched socioeconomically and by age and sex.
Analysis of the dermal ridge patterns and ridge count resulted in significant difference between the 78 autistic
and 78 normal children.
CONCLUSION
It is recommended that this study should be carried out in other centres in Nigeria to establish standard parameter
values which could be used when making diagnosis for these patients.
REFERENCES
Belov BS and Miakotkin VA (1998). Dermatoglyphics in Patients with Rheumatism: Ter Arkh. 60: 101-104.
Bogdanov NN and Zh Nevrol P (1999).The mechanism of the occurrence and development of epileptic range of
disorders. Im SS Korsakova.99:37-47.
Borrofice R.A. (1978): Down’s Syndrome in Nigeria: Dermatoglyphic Analysis of 50 cases: Nigeria Medical
Journal 8:571-576.
Franceschini P, Guala A, Besana D, Cara G, Franceshini D (2002). A mentally retarded female with distinctive
facial dimorphism, joint laxity, clinodactyl and abnormal dermatoglyphics. Genet. Couns. 13(1): 55-58.
Howard R B,Micheal RF,Morgan ES(1988).Digital Dernatoglyphics in mammary
cancer,J.Informahealthcare.6(1):15-27.
Oladipo G.S. and Ogunnowo B.M. (2004). Dermatoglphic patterns in Diabetes Mellitus in South Eastern
Nigeria Population. African Journal of Applied Zoology and Environmental Biology, 6:6-8.
Oladipo G.S., Gwunireama I.U. and Ichegbo J. (2005). Dermatoglyphic Pattern of Schizophrenics in South
Nigeria Population. J. Biomed Africa , 8 ( 2):27-31
Oladipo G.S. Olotu Joy, Fawehinmi H.B., Okoh P.O. and Iboroma A.D. (2007). Dermatoglyphic patterns in
Idiopathic (primary) dilated cardiomyopathy, in south southern Nigeria; scientific research and easy Vol. 2 (10)
Pp 416-420 2007 (http://www.academicjournals org/ske).
Oladipo GS, Sapira MK, Ekeke ON, Oyakhire M, Chinwo E, Apiafa B, and Osogba IG (2009). Dermatoglyphics
of Prostate Cancer Patients, Current Research Journal of Biological Sciences. 1(3): 131-134
Oladipo GS, Paul CW, Bob-Manuel IF, Fawehinmi HB, Edibamode EI (2009). Study of Digital Palmar
Dermatoglyphic Pattern of Nigerian Women with Malignant Mammary Neoplasm. Journal of Applied
Bioscience. 15: 829-834.
Penrose L.S (1963). Fingerprint, Palm and Chromosomes. Nature(Lond.), 197:933-938.
Rex A.P, Preus M (1982). A diagnostic Index for Down’s syndrome.J.Pediatr.100(6):903-906.
Schmidt S.K, Mukerjee D.P, Ahmed S.H(1981). Dermatoglyphic and Cytogenetic studies in parents of children
with down’s syndrome.Clin.Genet.20(3):203-210.
Steveson RE, Hane B, Arena J.F, May M, Lawrence L, Lubs H.A, Schwartz C.E(1997). Arch Finger prints,
hypotonia and flexia associated with x-linked mental retardation J.Med.Genet. 34(6):465-469.
Than M, Myat K.A, Khadijah S, Jamaludin N, Isa M.U (1998). Dermatoglyphics of down’s syndrome patients
in Malaysia, a comparative study. Anthropology Anz. 56(4):351-365.
Van-Os J, Woodruff P.W, Fananas L, Ahmad F, Shuriquie N, Howard R, Murray R.M (2002). Association
between cerebral structural abnormalities and dermatoglyphic ridge count in schizophrenia. Compr. Psychiatry.
41(5): 380-384.
Journal of Biology, Agriculture and Healthcare www.iiste.org
ISSN 2224-3208 (Paper) ISSN 2225-093X (Online)
Vol.3, No.7, 2013
83
Walker H.A (1977). A Dermatoglyphic study of Autistic patients. J. Autism Child Schizophr. 7(1): 11 – 21.
Table 1: The mean percentage frequency
distribution of digital pattern among autistic and normal subject (left hand).
PATTERN AUTISTIC SUBJECT (LEFT HAND) NORMAL SUBJECT (LEFT HAND)
Male Female Mean Male Female Mean
ARCH 49.37 59.26 54.32 28.38 24 26.19
WHORL 17.72 11.11 14.42 17.57 24 20.78
ULNARLOOP 30.38 22.22 26.30 51.35 48 49.68
RADIAL LOOP 2.58 7.4 4.99 2.70 4 3.35
Table 2: The mean percentage frequency distribution of digital pattern among autistic and
normal subject (right hand)
PATTERN AUTISTIC SUBJECT (RIGHT
HAND)
NORMAL SUBJECT (RIGHT HAND)
Male Female Mean Male Female Mean
ARCH 43.66 56.52 50.10 26.66 66.15 46.41
WHORL 21.13 8.69 14.91 24 10.77 17.39
ULNARLOOP 30.99 34.78 32.89 34.66 18.46 26.56
RADIAL LOOP 4.23 2.12 14.66 4.62 9.64
Table 3: The total ridge count on each digit of autistic subject
PATTERN LEFT HAND RIGH HAND
LI LII LIII LIV LV LT RI RII RIII RIV RV RT GT
WHORL 148 53 27 27 - 255 15 41 27 56 62 201 456
ARCH - - - - - - - - - - - - -
ULNARLOOP 9 29 137 93 68 336 71 43 28 31 54 227 563
RADIAL LOOP - - - - 23 23 - - 42 21 15 78 101
614 506 1,120
Table 4:The total ridge count on each digit of normal subject
PATTERN LEFT HAND RIGH HAND
LI LII LIII LIV LV LT RI RII RIII RIV RV RT GT
WHORL 58 77 96 70 49 350 123 80 83 86 - 372 722
ARCH - - - - - - - - - - - - -
ULNARLOOP 156 108 91 136 132 623 47 64 91 133 164 499 1122
RADIAL LOOP 11 22 24 - - 57 35 28 17 - 32 112 167
1030 983 2013
Table 5: Mean, standard deviation and standard error of a-b ridge count of both normal and autistic
subjects (male)
PARAMETER AUTISTIC MALE NORMAL MALE
LEFT RIGHT LEFT RIGHT
MEAN + S.E 34.66+ 1.89 33.33+2.25 36.40+ 1.03 31.33 + 1.72
S.D 7.34 9.09 3.96 6.67
VARIANCE 53.81 82.76 15.69 44.52
SAMPLE SIZE 15 15 15 15
P > 0.05
Table 6: Mean, standard deviation and standard error of a-b ridge count of both normal and autistic
subjects (female)
PARAMETER AUTISTIC MALE NORMAL MALE
LEFT RIGHT LEFT RIGHT
MEAN + S.E 38.6+ 2.59 35.8+1 41.40+ 1.29 38.60 + 2.11
S.D 5.18 2.24 2.88 4.22
VARIANCE 26.8 5 8.3 17.8
SAMPLE SIZE 5 5 5 5
P > 0.05
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Dermatoglyphic patterns of autistic children in nigeria

  • 1. Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.3, No.7, 2013 80 Dermatoglyphic Patterns of Autistic Children in Nigeria Oladipo Gabriel S. (PhD-Corresponding author) Department of Human Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, PMB 5323 PortHarcourt-Nigeria. E-mail:oladipogabriel@yahoo.com Tel:+2348050428628 Okoh Peter D (FICS) Department of Surgery, Faculty of Clinical Sciences, College of Health Sciences, University of Port Harcourt, PMB 5323 Port Harcourt-Nigeria. E-mail:peterokoh2002@yahoo.com. Tel: +2348036750996 Oghenemavwe Loveday E.(PhD) Department of Human Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, PMB 5323 PortHarcourt-Nigeria. E-mail: loveday.oghenemavwe@uniport.edu.ng Tel: +2348033527090 Yorkum Leyira K.(MSc) Department of Human Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, PMB 5323 PortHarcourt-Nigeria. E-mail:kennethleyira@yahoo.com Tel: +2348063599887 ABSTRACT Dermatoglyphic patterns have positive correlation in a number of genetic diseases. This research was carried out to determine any possible relationship between dermatoglyphics and autism in Nigeria using digital and palmar patterns, total ridge count, a-b ridge count and crease pattern. The digital and palmar prints of 20 autistic subjects from an autistic centre in Port Harcourt, Rivers state Nigeria were taken with parental guidance. The percentage frequency distribution of the digital pattern of the autistic subject was 49.5% for the arch, 18.5% for the whorl, 28.5% for the ulnar loop and 3.5% for the radial loop against 44% for the ulnar loop, 25.5% for the arch, 22% for the whorl and 8.5% for the radial loop for normal subjects. The mean values of the a –b ridge counts on the right and left hands of autistic male were 34.66 and 33.33 against 36.40 and 31.33 in non-autistic children respectively while in female they were 38.6 and 35.8 against 41.40 and 38.6 respectively. Though no statistical significant difference was observed when the two groups were compared (P>0.05). It was, however, observed that the number of the total ridge counts in the right and left hands of the autistic children were lower than those of the normal subjects. Thus, there is need for further investigation using larger sample size. The data from this study will serve as a good reference for future study on this subject in Nigeria. Key Words: Dermatoglyphics and Autism INTRODUCTION Autism is a complex developmental disorder or disability that typically appears during the first three years of life.The term autism was derived from a Greek word “Auto” meaning self, thus it is also defined as the tendency to morbid self absorption at the expense of regulation by outward reality. Autism impairs the normal development of the brain in the area of social interaction and communication skills. Children and adult with autism typically have difficulties in verbal and non-verbal communication, social interactions, and leisure. Autism is the most common of the pervasive Developmental Disorders, affecting an estimated 2 – 6 per 1,000 or 0.002 – 0.006% individuals, this means that as many as 300,000 to 900, 000 Nigerians today are believed to have some form of autism. It is four times more prevalent in boys than girls. Autism is mutifactorial, that is it is influenced by both genetic and environmental factors (Walker, 2005). Studies have shown that a positive correlation exist between dermatoglyphics and some disease conditions, especially those with genetic basis. Such conditions include those associated with organic mental retardation(Boroffice,1978;Steveson et al.,1997;Than et al.,1998;Franceschini et al.,2002).It has been suggested also that dermatoglyhic studies may aid in the diagnosis of such conditions(Rex and Preus,1982;Schmnidt et al.,1981).Nervous system disorders of functional ethiopathogenesis have also been positively correlated with dermatoglyphics. These include schizophrenia(Oladipo et al.,2005) and schizotypal personality(Van-Os et al.,2000).Reports are also available on the correlation of Dermatoglyphics in Diabetes mellitus(Oladipo and Ogunowo,2004), Idiopathic(primary) dilated cardiomyopathy(Oladipo et al.,2007) , breast cancer(Oladipo et al.,2009), epileptic disorder (Bogdanov et al., 1999), rheumatism(Belov and Miakotkin, 1988) prostate cancer (Oladipo et al.,2009;Howard et al., 1988 ). This study was carried out to determine any possible correlation between dermatoglyphic patterns and autism in Nigeria.
  • 2. Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.3, No.7, 2013 81 MATERIALS AND METHODS In this study, 20 autistic (16 males and 4 females) and 20 non autistic (16 males and 4 females) children were selected from the Autistic Centre and the Catholic Special Child Day School in Port Harcourt Rivers State, Nigeria. All subjects were Nigerians by both parents and grandparents. The parents/guidance of the children were administered a questionnaire containing their names, age, sex background and behaviour to fill to make sure they fall into the category. Fingerprints were then taken with white paper and purple ink pad (Penrose,1963). Hands were thoroughly washed with water and soap and dried before taking prints. This was done to remove dirt from the hands. Screening was done on the white duplicating paper containing the prints with the aid of a magnifying glass. No distinction was made between the varieties of whorl (w) patterns, also tented arch was recorded as an arch (A).Loop was recorded as either ulnar loop (UL) or radial loop (RL).All the patterns were as defined by Penrose (1963).A straight line was drawn to join A and B triradii and the number of intersecting ridges counted. These gave A-B ridge counts(Figure 1). The various digits were designated as follow: Thumb- i; Index finger-ii; Middle finger-iii; Ring finger-iv; Little finger-v. L and R stand for left and right respectively. Data analysis: The student t-test and chi-square test were used for statistical analysis at significant level of 0.05. Figure 1: Scheme to show digital patterns, a,b,c,d and triradii, and palmar crease . RESULTS The mean percentage frequency distribution of digital pattern among autistic and normal subjects (left hand) is summarized in table 1.Arch and Radial loop had the highest number in autistic patient compare to normal subjects. While the Whorl and Ulnar loop showed the highest percentage frequency in normal subject compare to autistic patients. The mean percentage frequency distribution of digital pattern among autistic and normal subjects (right hand) is summarized in table 2. Arch and Ulnar loop had the highest frequency in autistic patient compare to normal subjects. While the Whorl and Radial loop showed the highest percentage frequency in normal subject compare to autistic patients. The total ridge counts on each digit of autistic patients is summarized in table 3,the total ridge count is higher on the left hand compared to the right hand, although within the highest count on the thumb of the right hand. The total ridge counts on each digit of normal subjects is summarized in table 4,In normal subjects the total
  • 3. Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.3, No.7, 2013 82 ridge count is also higher on the left hand as compare to the right, but the overall total count is about twice higher in normal subject compare to autistic patients The mean, standard deviation and standard error of A-B ridge count of both normal and autistic male and female subject is summarized in tables 5 and 6.A-B ridge counts is observed to by higher in both normal and autistic females than male, but no significant difference was observed statistically. DISCUSSION Dermatoglyphic analysis of the digital patterns in Down’s syndrome and normal individuals showed a statistically significant different of 96% loop pattern as against 63.6% in normal (Boroffice, 1978). No such difference was observed in the present study. On the right palm arch and ulnar loop had the highest frequency in autistic patient compare to normal subjects. While the Whorl and Radial loop showed the highest percentage frequency in normal subject compare to autistic patients, on the left palm arch and radial loop had the highest number in autistic patient compare to normal subjects. While the Whorl and Ulnar loop showed the highest percentage frequency in normal subject compare to autistic patients. In this study it was observed that the total ridge count of both right and left hands of the normal subjects were higher compare to those of autistic patients, our findings is in line with that of Walker, 2005,who compared the dermatoglyphic patterns of autistic children to control subjects matched socioeconomically and by age and sex. Analysis of the dermal ridge patterns and ridge count resulted in significant difference between the 78 autistic and 78 normal children. CONCLUSION It is recommended that this study should be carried out in other centres in Nigeria to establish standard parameter values which could be used when making diagnosis for these patients. REFERENCES Belov BS and Miakotkin VA (1998). Dermatoglyphics in Patients with Rheumatism: Ter Arkh. 60: 101-104. Bogdanov NN and Zh Nevrol P (1999).The mechanism of the occurrence and development of epileptic range of disorders. Im SS Korsakova.99:37-47. Borrofice R.A. (1978): Down’s Syndrome in Nigeria: Dermatoglyphic Analysis of 50 cases: Nigeria Medical Journal 8:571-576. Franceschini P, Guala A, Besana D, Cara G, Franceshini D (2002). A mentally retarded female with distinctive facial dimorphism, joint laxity, clinodactyl and abnormal dermatoglyphics. Genet. Couns. 13(1): 55-58. Howard R B,Micheal RF,Morgan ES(1988).Digital Dernatoglyphics in mammary cancer,J.Informahealthcare.6(1):15-27. Oladipo G.S. and Ogunnowo B.M. (2004). Dermatoglphic patterns in Diabetes Mellitus in South Eastern Nigeria Population. African Journal of Applied Zoology and Environmental Biology, 6:6-8. Oladipo G.S., Gwunireama I.U. and Ichegbo J. (2005). Dermatoglyphic Pattern of Schizophrenics in South Nigeria Population. J. Biomed Africa , 8 ( 2):27-31 Oladipo G.S. Olotu Joy, Fawehinmi H.B., Okoh P.O. and Iboroma A.D. (2007). Dermatoglyphic patterns in Idiopathic (primary) dilated cardiomyopathy, in south southern Nigeria; scientific research and easy Vol. 2 (10) Pp 416-420 2007 (http://www.academicjournals org/ske). Oladipo GS, Sapira MK, Ekeke ON, Oyakhire M, Chinwo E, Apiafa B, and Osogba IG (2009). Dermatoglyphics of Prostate Cancer Patients, Current Research Journal of Biological Sciences. 1(3): 131-134 Oladipo GS, Paul CW, Bob-Manuel IF, Fawehinmi HB, Edibamode EI (2009). Study of Digital Palmar Dermatoglyphic Pattern of Nigerian Women with Malignant Mammary Neoplasm. Journal of Applied Bioscience. 15: 829-834. Penrose L.S (1963). Fingerprint, Palm and Chromosomes. Nature(Lond.), 197:933-938. Rex A.P, Preus M (1982). A diagnostic Index for Down’s syndrome.J.Pediatr.100(6):903-906. Schmidt S.K, Mukerjee D.P, Ahmed S.H(1981). Dermatoglyphic and Cytogenetic studies in parents of children with down’s syndrome.Clin.Genet.20(3):203-210. Steveson RE, Hane B, Arena J.F, May M, Lawrence L, Lubs H.A, Schwartz C.E(1997). Arch Finger prints, hypotonia and flexia associated with x-linked mental retardation J.Med.Genet. 34(6):465-469. Than M, Myat K.A, Khadijah S, Jamaludin N, Isa M.U (1998). Dermatoglyphics of down’s syndrome patients in Malaysia, a comparative study. Anthropology Anz. 56(4):351-365. Van-Os J, Woodruff P.W, Fananas L, Ahmad F, Shuriquie N, Howard R, Murray R.M (2002). Association between cerebral structural abnormalities and dermatoglyphic ridge count in schizophrenia. Compr. Psychiatry. 41(5): 380-384.
  • 4. Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.3, No.7, 2013 83 Walker H.A (1977). A Dermatoglyphic study of Autistic patients. J. Autism Child Schizophr. 7(1): 11 – 21. Table 1: The mean percentage frequency distribution of digital pattern among autistic and normal subject (left hand). PATTERN AUTISTIC SUBJECT (LEFT HAND) NORMAL SUBJECT (LEFT HAND) Male Female Mean Male Female Mean ARCH 49.37 59.26 54.32 28.38 24 26.19 WHORL 17.72 11.11 14.42 17.57 24 20.78 ULNARLOOP 30.38 22.22 26.30 51.35 48 49.68 RADIAL LOOP 2.58 7.4 4.99 2.70 4 3.35 Table 2: The mean percentage frequency distribution of digital pattern among autistic and normal subject (right hand) PATTERN AUTISTIC SUBJECT (RIGHT HAND) NORMAL SUBJECT (RIGHT HAND) Male Female Mean Male Female Mean ARCH 43.66 56.52 50.10 26.66 66.15 46.41 WHORL 21.13 8.69 14.91 24 10.77 17.39 ULNARLOOP 30.99 34.78 32.89 34.66 18.46 26.56 RADIAL LOOP 4.23 2.12 14.66 4.62 9.64 Table 3: The total ridge count on each digit of autistic subject PATTERN LEFT HAND RIGH HAND LI LII LIII LIV LV LT RI RII RIII RIV RV RT GT WHORL 148 53 27 27 - 255 15 41 27 56 62 201 456 ARCH - - - - - - - - - - - - - ULNARLOOP 9 29 137 93 68 336 71 43 28 31 54 227 563 RADIAL LOOP - - - - 23 23 - - 42 21 15 78 101 614 506 1,120 Table 4:The total ridge count on each digit of normal subject PATTERN LEFT HAND RIGH HAND LI LII LIII LIV LV LT RI RII RIII RIV RV RT GT WHORL 58 77 96 70 49 350 123 80 83 86 - 372 722 ARCH - - - - - - - - - - - - - ULNARLOOP 156 108 91 136 132 623 47 64 91 133 164 499 1122 RADIAL LOOP 11 22 24 - - 57 35 28 17 - 32 112 167 1030 983 2013 Table 5: Mean, standard deviation and standard error of a-b ridge count of both normal and autistic subjects (male) PARAMETER AUTISTIC MALE NORMAL MALE LEFT RIGHT LEFT RIGHT MEAN + S.E 34.66+ 1.89 33.33+2.25 36.40+ 1.03 31.33 + 1.72 S.D 7.34 9.09 3.96 6.67 VARIANCE 53.81 82.76 15.69 44.52 SAMPLE SIZE 15 15 15 15 P > 0.05 Table 6: Mean, standard deviation and standard error of a-b ridge count of both normal and autistic subjects (female) PARAMETER AUTISTIC MALE NORMAL MALE LEFT RIGHT LEFT RIGHT MEAN + S.E 38.6+ 2.59 35.8+1 41.40+ 1.29 38.60 + 2.11 S.D 5.18 2.24 2.88 4.22 VARIANCE 26.8 5 8.3 17.8 SAMPLE SIZE 5 5 5 5 P > 0.05
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