Linkage Analysis of a Model Quantitative Trait in Humans: Finger
					Ridge Count Shows Significant Multivariate Linkage to 5q14.1

Medland, Sarah E.; Loesch, Danuta Z.; Mdzewski, B; Zhu, Gu; Montgomery, Grant W.; Martin, Nicholas G.

doi:10.1371/journal.pgen.0030165

Cited by 45 publications

(35 citation statements)

References 26 publications

(32 reference statements)

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“…Previous studies that employed much larger samples have reported much higher heritabilities for RCL4 and RCL5 (Martin et al, 1982a), and significant correlations (0.76 to 0.82) between homologous digits from different hands (Medland et al, 2007). The preliminary results found for the ring and little fingers from the left hand in the present study were quite low, in disagreement with Martin et al (1982a), and appear to be highly influenced by a low ach pattern frequency.…”

Section: Discussioncontrasting

confidence: 86%

“…The preliminary results found for the ring and little fingers from the left hand in the present study were quite low, in disagreement with Martin et al (1982a), and appear to be highly influenced by a low ach pattern frequency. Although the correlations between ridge counts from homologous digits have been also significant for the female twins studied (0.61 to 0.87; p < 0.01), these correlations were more variable than those reported by Medland et al (2007). These differences may be reflecting a higher data heterogeneity in the smaller sample studied.…”

Section: Discussionmentioning

confidence: 65%

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Digital Dermatoglyphic Heritability Differences as Evidenced by a Female Twin Study

et al. 2010

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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.

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Section: Discussioncontrasting

confidence: 86%

Section: Discussionmentioning

confidence: 65%

Digital Dermatoglyphic Heritability Differences as Evidenced by a Female Twin Study

et al. 2010

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“…Dermatoglyphic can be defined as the structural arrangement of the ridge patterns on the finger tips and palms which are genetically controlled and are dependent on prenatal environment. 13 The dermatoglyphic patterns start to develop between 5 th and 6 th week of development and are completed by 21 st week of intrauterine life. 14 Both heart and the fingerprint develop in the first trimester of intra uterine life of the embryo.…”

Section: Introductionmentioning

confidence: 99%

Association between Myocardial Infarction and Dermatoglyphics: A Cross-Sectional Study

Asif¹,

Bhat²,

Nizamuddin³

et al. 2018

JCDR

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Background: Myocardial infarction (MI) is a multifactorial and polygenic cardiovascular disease with high mortality rate. Early diagnosis could help in precautionary measures and change in life style. Many studies used dermatoglyphics as noninvasive technique to predict the incidence of genetic diseases. Here, we tried to assess the association of dermatoglyphic pattern between MI and controls. Methods: We investigated dermatoglyphic patterns among 800 participants (n=400 MI cases and n=400 control groups) representing South Indian population. Patients with MI were compared with control groups who did not have any history of MI. Results: Showed higher frequency whorls in MI patients and loops in control group (p<0.001). The study showed significant difference in distribution of whorl (OR = 0.298, 95%CI=0.223-0.399, p=0.0001), loop (OR = 3.537, 95%CI=2.639-4.741, p=0.0001), arch (OR = 0.545, 95%CI=0.405-0.733, p=0.0001). Further, mean values of A-B ridge count (OR = 1.421, 95%CI=1.167-1.731, P=0.0001) of MI and control groups were significant (p<0.05). Conclusion: The present study showed that there is an association between dermatoglyphic patterns and MI cases. Further, findings suggest that dermatoglyphic patterns may contribute to etiology of early prediction of MI.

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“…Mathematical models suggested for dermatoglyphic development include heterogeneous genetic factors influencing development versus between-digit differences, with a pattern of covariation between digits suggestive of a morphogenetic field effect . Multivariate linkage analyses revealed a pattern of factor loadings for ridge count which supported this argument, and also found linkage to 5q14.1 driven by index, middle and ring fingers (Medland et al, 2007a). A very high heritability (h 2 = .65-.96) has been reported for up to 12 dermatoglyphic characteristics , suggesting a genetic basis for pattern type.…”

Section: Conflict Of Interestsupporting

confidence: 57%

Forensically Relevant Applications of Genome-Wide Association Studies

Ho¹

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The past century has seen great improvements in the science underpinning forensic investigations. The field has advanced from Lombardo's classification of the "criminal" physique, to the automated fingerprint matching systems. At the biological level, the field has moved from identification based on blood groups to automated genotyping, which is used to compare DNA extracted from saliva or blood left at a crime scene to reference DNA collected from individuals.In a legal context, however, such improvements are of limited use if relevant parties cannot fully and accurately understand the evidence. This includes both sides of legal representation and, where a jury is involved, eligible jury members. Previous studies have examined the understanding of statistical evidence amongst jury-eligible individuals, finding that they commonly result in logical fallacies. These types of studies have typically focussed on the understanding of DNA matching methods. However, genomic analyses currently focus on the use of genome-wide association analyses (GWAS) which aim to identify single-base variants associated with the trait being studied. Many forensically relevant traits have been studied using GWAS approaches and there is substantial interest in the use of these findings to predict phenotypes of interest, and the implications of using these findings as supporting evidence during trials.While there have been a number of GWAS studies of eye and hair colour and hair morphology, there are some notable gaps in current literature on genetic variants influencing forensically relevant complex traits. Although fingerprint patterns are commonly used for identification, there have been no studies seeking to identify genetic variants influencing these patterns. Similarly, although there are a number of papers focussing on gross hair morphology, there have been no studies on the micro-level morphology. In order to address these limitations, the current thesis aims to identify genetic variants that contribute to differences in fingerprint patterns, quantify the genetic contribution to and identify genetic variants influencing micro-level hair diameter and curvature.In addition to the identification of genetic variants influencing forensically relevant traits, human factors are also of interest. In order to introduce GWAS evidence in a comprehensible manner to a legal and general audience, it is apparent that clear communication of scientific ii and statistical evidence is essential. By studying attitudes and perception of GWAS evidence by a jury-eligible population, this thesis provides the first step towards an evidence-based approach to transmit knowledge reliably in a forensic context.

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Linkage Analysis of a Model Quantitative Trait in Humans: Finger Ridge Count Shows Significant Multivariate Linkage to 5q14.1

Cited by 45 publications

References 26 publications

Digital Dermatoglyphic Heritability Differences as Evidenced by a Female Twin Study

Digital Dermatoglyphic Heritability Differences as Evidenced by a Female Twin Study

Association between Myocardial Infarction and Dermatoglyphics: A Cross-Sectional Study

Forensically Relevant Applications of Genome-Wide Association Studies

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