The finger ridge count (a measure of pattern size) is one of the most heritable complex traits studied in humans and has been considered a model human polygenic trait in quantitative genetic analysis. Here, we report the results of the first genome-wide linkage scan for finger ridge count in a sample of 2,114 offspring from 922 nuclear families. Both univariate linkage to the absolute ridge count (a sum of all the ridge counts on all ten fingers), and multivariate linkage analyses of the counts on individual fingers, were conducted. The multivariate analyses yielded significant linkage to 5q14.1 (Logarithm of odds [LOD] = 3.34, pointwise-empirical p-value = 0.00025) that was predominantly driven by linkage to the ring, index, and middle fingers. The strongest univariate linkage was to 1q42.2 (LOD = 2.04, point-wise p-value = 0.002, genome-wide p-value = 0.29). In summary, the combination of univariate and multivariate results was more informative than simple univariate analyses alone. Patterns of quantitative trait loci factor loadings consistent with developmental fields were observed, and the simple pleiotropic model underlying the absolute ridge count was not sufficient to characterize the interrelationships between the ridge counts of individual fingers.

The genetic and environmental contributions to determine digital dermatoglyphic traits were investigated by using female dizygotic and monozygotic twin pairs to estimate heritability indexes (h2). The evaluated sample was composed by 20 monozygotic twin pairs and 13 dizygotic twin pairs. A significant heritability (h2= 0.65 to 0.96) was observed for 12 dermatoglyphic characteristics (delta indexes and ridge counts for right hand, left hand and both hands, and ridge counts for most individual fingers). A negative correlation between the ridge counts and heritability indexes from individual fingers was found for the left hand, which appears to be associated to a higher arch pattern frequency in most left-hand fingers, since this frequency was negatively correlated with ridge counts and positively correlated with heritability indexes. Heritability indexes of right-hand fingers were positively correlated with loop pattern frequency and negatively correlated with whorl pattern frequency. The low heritability of ridge counts from left thumb, ring and little fingers (h2= 0.11 to 0.32) indicates a higher chance that the chorion type had an influence in the intra-pair variance of monozygotic twins. Results confirmed the predominant genetic influence on the total ridge count. The heritability indexes varied in up to 8 times between different fingers and its association to ridge counts and pattern frequency was very variable between hands, evidencing that the use of dermatoglyphic traits from individual fingers as indicators of genetic influences to other human traits should consider this variability.

<h4>Background</h4>It is well established that dermatoglyphics are genetically determined. But, to date, few studies have given attention to the inheritance pattern of dermatoglyphics. Furthermore, despite the existence of different advanced statistical packages, none of these previous studies implemented a model-fitting technique to reveal the mode of inheritance. Thus, the genetic nature of dermatoglyphics is still not clear.<h4>Aim</h4>In the present communication, an attempt has been made to provide some information regarding the genetics of finger dermatoglyphics by estimating the magnitude and mode of inheritance of these traits.<h4>Subjects and methods</h4>The fingerprints of 824 individuals from 200 families including two generations were collected from Barasat in North 24-Parganas, West Bengal. The study includes familial correlations between first-degree relatives and corresponding heritabilities. In the final stage, segregation analyses by the Pedigree Analysis Package (PAP) were conducted on these data to understand the mode of inheritance.<h4>Results</h4>The major findings indicated the following: (a) Familial correlations in all possible relationships (except spouse correlation) were statistically significant and of comparable magnitude. (b) The corresponding heritabilities were in the range between 59% for Pattern Intensity Index (PII) and 77% for Total Finger Ridge Count (TFRC). These estimates were in agreement with previously published data on this subject. (c) By segregation analysis, the 'Sporadic', 'Environmental', 'No major gene effect' as well as 'No polygenic component' models were strongly rejected (p < 0.05) and the hypothesis of a major gene's (MG) influence on all studied traits was accepted, though the proportion of MG variance was low. (d) The Most Parsimonious Mendelian model clearly indicated the contribution of a major gene with dominant (for PII) and additive (for two ridge counts) effects.<h4>Conclusion</h4>The present report supports the evidence of the existence of a major gene on these dermatoglyphic traits and the transmission of this effect is consistent with Mendelian expectation.

<h4>Background</h4>Dental caries is a microbiological disease affecting teeth which has both genetic as well as environmental factors. Dermatoglyphics is the study of fingerprint patterns and is also genetically determined. This study is aimed to determine a correlation between dermatoglyphic patterns and caries susceptibility among children.<h4>Methods</h4>A total of 250 children (125 each of case and control groups) were selected. Dental caries status was evaluated using the DMFT index while dermatoglyphic study was performed by recording impressions using stamp pad-ink method.<h4>Results</h4>Higher frequency of all dermatoglyphic patterns was observed among female subjects with caries as compared to caries-free subjects as well as compared to male subjects.<h4>Conclusion</h4>Dermatoglyphics can be employed as a positive indicator of caries susceptibility among children and holds importance in the area as future caries predictor.

their unique patterns of development. Human fingerprints provide a well-known example; the fingerprints differ even between genetically identical human Developmental noise or stochastic noise is a concept within developmental biology in which the observable characteristics or traits (phenotype) varies between individuals even though both individuals share the same genetic code (genotypes) and the other environmental factors are completely the same. Factors that influence the effect include stochastic, or randomized, gene expression and other cell Deve…

fingerprint. However, the relative influences of genetic and environmental effects on fingerprint patterns are generally unclear. One study has suggested that A fingerprint is an impression left by the friction ridges of a human finger. The recovery of partial fingerprints from a crime scene is an important method of forensic science. Moisture and grease on a finger result in fingerprints on surfaces such as glass or metal. Deliberate impressions of entire fingerprints can be obtained by ink or other substances transferred from the peaks of friction rid Before computerization, manual filing systems were used in large fingerprint repositories. A fingerprint classification system groups fingerprints according to their characteristics and therefore helps in the matching of a fingerprint against a large database of fingerprints. A query fingerprint that needs to be matched can therefore be compared with a subset of fingerprints in an existing database. Early classification systems were based on the general ridge patterns, including the presence or absence of circular patterns, of several or all fingers. This allowed the filing and retrieval of paper records in large collections based on friction ridge patterns alone. The most popular systems used the pattern class of each finger to form a numeric key to assist lookup in a filing system. Fingerprint classification systems included the Roscher System, the Juan Vucetich System and the Henry Classification System. The Roscher System was developed in Germany and implemented in both Germany and Japan. The Vucetich System was developed in Argentina and implemented throughout South America. The Henry Classification System was developed in India and implemented in most English-speaking countries. In the Henry Classification System, there are three basic fingerprint patterns: loop, whorl, and arch, which constitute 60–65 percent, 30–35 percent, and 5 percent of all fingerprints respectively. There are also more complex classification systems that break down patterns even further, into plain arches or tented arches, and into loops that may be radial or ulnar, depending on the side of the hand toward which the tail points. Ulnar loops start on the pinky-side of the finger, the side closer to the ulna, the lower arm bone. Radial loops start on the thumb-side of the finger, the side closer to the radius. Whorls may also have sub-group classifications including plain whorls, accidental whorls, double loop whorls, peacock's eye, composite, and central pocket loop whorls. The "primary classification number" in the Henry Classification System is a fraction whose numerator and denominator are whole numbers between 1 and 32 inclusive, thus classifying each set of ten fingerprints…