Finger Ridge Count and Fluctuating Asymmetry in Healthy and Mentally Diseased Bulgarians

2021 ◽  
Author(s):  
Nadezhda Petrova ◽  
Stefan Sivkov ◽  
Emilia Andreenko ◽  
Angel Dzhambov ◽  
Tihomir Vachev
Keyword(s):  
Fluctuating Asymmetry ◽  
Ridge Count

Dermatoglyphic fluctuating asymmetry and total a-b ridge count as biomarkers of Foetal Alcohol Syndrome: Analysis in children adopted from Eastern Europe

2020 ◽  
Vol 143 ◽  
pp. 104999
Author(s):  
Vicente Andreu-Fernández ◽  
Sabina Planas ◽  
Elisabet Navarro-Tapia ◽  
Araceli Rosa ◽  
Oscar García-Algar
Keyword(s):  
Eastern Europe ◽  
Fluctuating Asymmetry ◽  
Ridge Count ◽  
Foetal Alcohol Syndrome ◽  
Syndrome Analysis

The Link between Fingerprints, Genetics & Chronic Periodontitis: A Dermatoglyphic Study

2019 ◽  
Author(s):  
S.S.Sai Karthikeyan
Keyword(s):  
Frequency Distribution ◽  
Chronic Periodontitis ◽  
Statistical Significance ◽  
General Medicine ◽  
Forensic Odontology ◽  
Ridge Count ◽  
Periodontal Tissues ◽  
Inflammatory Conditions ◽  
Chronic Inflammatory Condition ◽  
Fingerprint Pattern

Background: Several methods have been employed for diagnosing inflammatory conditions including biomarkers, enzymes and various other clinical parameters. Dermatoglyphics is one such field which has gained entry in Forensic Medicine, Forensic Odontology and in General Medicine for diagnosing chronic inflammatory conditions. Periodontitis is a chronic inflammatory condition associated with destruction of periodontal tissues. This study aimed to assess the relationship between the fingerprint patterns and chronic periodontitis Methods: A total of 60 patients, belonging to both healthy and chronic periodontitis subjects were assessed by a commercially available fingerprint scanner. All the fingerprint images were assessed for the fingerprint pattern and the ridge count manually. The results were tabulated as percentage frequency distribution for the type of fingerprint pattern. The ridge count is shown as mean ± SD. Unpaired t test was applied to test for statistical significance. Results: The frequency distribution showed equal percentage of Radial Loop type of fingerprint pattern in subjects of both Health and Chronic Periodontitis. Statistical analysis showed Plain Whorl type of fingerprint pattern more significant in subjects having Chronic Periodontitis Conclusion: It was concluded that there might be a relationship between type of fingerprint pattern to the chances of a person having Chronic Periodontitis.

scholarly journals Fluctuating asymmetry of the normal facial skeleton

2018 ◽  
Vol 47 (4) ◽  
pp. 534-540 ◽  
Author(s):  
J. Gateño ◽  
T.L. Jones ◽  
S.G.F. Shen ◽  
K.-C. Chen ◽  
A. Jajoo ◽  
...  
Keyword(s):  
Fluctuating Asymmetry ◽  
Facial Skeleton

scholarly journals Fluctuating Asymmetry and Developmental Instability, a Guide to Best Practice

Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 9
Author(s):  
John H. Graham
Keyword(s):  
Measurement Error ◽  
Best Practices ◽  
Environmental Stress ◽  
Fluctuating Asymmetry ◽  
Best Practice ◽  
Developmental Instability ◽  
The Past ◽  
Size Scaling ◽  
Research Designs

Best practices in studies of developmental instability, as measured by fluctuating asymmetry, have developed over the past 60 years. Unfortunately, they are haphazardly applied in many of the papers submitted for review. Most often, research designs suffer from lack of randomization, inadequate replication, poor attention to size scaling, lack of attention to measurement error, and unrecognized mixtures of additive and multiplicative errors. Here, I summarize a set of best practices, especially in studies that examine the effects of environmental stress on fluctuating asymmetry.

scholarly journals Nature, Nurture, and Noise: Developmental Instability, Fluctuating Asymmetry, and the Causes of Phenotypic Variation

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1204
Author(s):  
John H. Graham
Keyword(s):  
Fluctuating Asymmetry ◽  
Phenotypic Variation ◽  
Deterministic Chaos ◽  
Monozygotic Twins ◽  
Developmental Instability ◽  
Nonlinear Feedback ◽  
Developmental Variation ◽  
Sewall Wright ◽  
Developmental Noise ◽  
And Behavior

Phenotypic variation arises from genetic and environmental variation, as well as random aspects of development. The genetic (nature) and environmental (nurture) components of this variation have been appreciated since at least 1900. The random developmental component (noise) has taken longer for quantitative geneticists to appreciate. Here, I sketch the historical development of the concepts of random developmental noise and developmental instability, and its quantification via fluctuating asymmetry. The unsung pioneers in this story are Hugo DeVries (fluctuating variation, 1909), C. H. Danforth (random variation between monozygotic twins, 1919), and Sewall Wright (random developmental variation in piebald guinea pigs, 1920). The first pioneering study of fluctuating asymmetry, by Sumner and Huestis in 1921, is seldom mentioned, possibly because it failed to connect the observed random asymmetry with random developmental variation. This early work was then synthesized by Boris Astaurov in 1930 and Wilhelm Ludwig in 1932, and then popularized by Drosophila geneticists beginning with Kenneth Mather in 1953. Population phenogeneticists are still trying to understand the origins and behavior of random developmental variation. Some of the developmental noise represents true stochastic behavior of molecules and cells, while some represents deterministic chaos, nonlinear feedback, and symmetry breaking.

scholarly journals Fluctuating Asymmetry and Sexual Dimorphism in Human Facial Morphology: A Multi-Variate Study

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 304
Author(s):  
Omid Ekrami ◽  
Peter Claes ◽  
Ellen Van Assche ◽  
Mark D. Shriver ◽  
Seth M. Weinberg ◽  
...  
Keyword(s):  
Fluctuating Asymmetry ◽  
Life History Traits ◽  
Principal Component ◽  
Underlying Mechanism ◽  
High Density ◽  
Direct Result ◽  
Facial Morphology ◽  
Strongly Correlated ◽  
Large Dataset ◽  
Genetic Quality

(1) Background: Fluctuating asymmetry is often used as an indicator of developmental instability, and is proposed as a signal of genetic quality. The display of prominent masculine phenotypic features, which are a direct result of high androgen levels, is also believed to be a sign of genetic quality, as these hormones may act as immunosuppressants. Fluctuating asymmetry and masculinity are therefore expected to covary. However, there is lack of strong evidence in the literature regarding this hypothesis. (2) Materials and methods: In this study, we examined a large dataset of high-density 3D facial scans of 1260 adults (630 males and 630 females). We mapped a high-density 3D facial mask onto the facial scans in order to obtain a high number of quasi-landmarks on the faces. Multi-dimensional measures of fluctuating asymmetry were extracted from the landmarks using Principal Component Analysis, and masculinity/femininity scores were obtained for each face using Partial Least Squares. The possible correlation between these two qualities was then examined using Pearson’s coefficient and Canonical Correlation Analysis. (3) Results: We found no correlation between fluctuating asymmetry and masculinity in men. However, a weak but significant correlation was found between average fluctuating asymmetry and masculinity in women, in which feminine faces had higher levels of fluctuating asymmetry on average. This correlation could possibly point to genetic quality as an underlying mechanism for both asymmetry and masculinity; however, it might also be driven by other fitness or life history traits, such as fertility. (4) Conclusions: Our results question the idea that fluctuating asymmetry and masculinity should be (more strongly) correlated in men, which is in line with the recent literature. Future studies should possibly focus more on the evolutionary relevance of the observed correlation in women.

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