Skip to main content

Associations between 44 nonmetric permanent dental traits or anomalies with skeletal sagittal malocclusions and sex, besides correlations across the variations or abnormalities

Abstract

Introduction

Nonmetric dental traits and the shape, size, or number of dental anomalies are essential to various dental fields such as orthodontics, dental anatomy, anthropology, pathology, and forensic dentistry. Nonetheless, many are not well assessed worldwide. Moreover, most studies are limited to a few nonmetric traits. Therefore, we aimed to examine several nonmetric dental traits/anomalies.

Methods

In this cross-sectional epidemiological study, ~ 9000 permanent teeth of 331 non-syndromic orthodontic patients (radiographs and dental casts) with fully erupted permanent dentitions (except the third molars and some cases of a few teeth missing or excluded) were evaluated by two observers, each twice, in search for 62 nonmetric traits/shape-number-size anomalies. The traits/anomalies of interest were supernumerary, microdontia, peg-shaped lateral, shovelings, talon cusps, Carabelli cusps, fifth/sixth/seventh cusps on the molars, hypocone/hypoconulid absence, protostylid, deflecting wrinkle‏s, canine mesial ridge, distal trigonid crest, canine distal accessory ridge, accessory cusps in the mesial/distal marginal ridges, mesial/distal accessory ridges, and accessory cusps in the lingual of the mandibular premolars and second molars). Data, at both patient/quarter levels, were analyzed regarding the associated factors (skeletal Angle classes, crowding, sex, and sides) as well as the correlations among traits, using the chi-square test and Spearman correlation coefficient (α = 0.05).

Results

Prevalence rates of 44 traits/anomalies were reported (18 out of the 62 searched traits/anomalies were not found [prevalence = 0%]). Microdontia and accessory cusps on the marginal ridge of the second mandibular molars were significantly more common in women (P < 0.05). Canine talon cusp and distal trigonid crest of the second mandibular molars were more prevalent in men (P < 0.05). Shoveling, canine talon cusp, canine distal accessory ridge, and accessory cusp in the first premolar might be more prevalent in skeletal Angle class II; whereas, accessory cusp in the mesial marginal ridge of the second premolar might be rather more prevalent in skeletal Angle class I (P < 0.05). Few dental traits were positively and moderately or strongly correlated with each other (Spearman Rho ≥ 0.4, P < 0.0005).

Conclusions

Sex dimorphism was uncommon in nonmetric dental traits/anomalies. Skeletal malocclusions may be associated with a few dental abnormalities or variations.

Peer Review reports

Introduction

Nonmetric dental traits are significant to clinical dentistry (e.g., orthodontics, and prosthodontics), dental anatomy/morphology, anthropology, oral pathology, and forensic dentistry [1]. Differences in the shape and size of the teeth are an important factor related to the etiology of malocclusion [2, 3].

The teeth are resistant to decomposition, destructive agents, fire, and time; they can convey information about ethnicity and gender; they also allow assessment of origins, the migratory chain, and habits/diets of populations [4,5,6,7]. Among the biological variations existing in populations, nonmetric dental traits are key factors for scientists who search for the link between populations’ biological history and their phenotypes. Dental anthropology has great significance in the study of populations’ variations because of the existence of numerous independent traits, excellent preservation, evolutionary conservatism free of selective pressure, genetic determination, interpopulational variation, and the simple assessment of live individuals such as in fossils [6, 8,9,10,11].

Nonmetric characteristics of dental crowns are phenotypic forms of dental enamel that result from the indirect process of secretion of mineral mediators by dental morphogenesis proteins and are expressed by the human genome of each individual. They can be positive (cusp) or negative structures (pit and groove) that can appear in a specific location and to varying degrees [12]. These features are described using different designations. They have a high classification value and can be used for biological prediction between different populations and comparative analysis of the history, culture, and biological progress of early humans and modern humans [12].

Since there was no study or just a few ones on a large set of so many dental anomalies, this study was conducted.

Materials and methods

This cross-sectional study was performed on 662 maxillary and mandibular dental casts of 331 patients (over 9000 teeth). The patients were selected randomly from Iranian patients attending the Orthodontic Department and two private orthodontic clinics in Ahvaz, Iran. For collecting the data, all the available patients’ records, as well as their archival casts and radiographs, were consecutively evaluated until reaching the desired sample size. A total of 809 patient records (along with their casts and radiographs) were evaluated. The inclusion criteria were being of Iranian descent, 12–35 years old, and having a complete permanent dentition (except the third molars) with no more than 2 extractions. The exclusion criteria were patients with any systemic diseases affecting the teeth or syndromes, cleft lips or palates, any earlier histories of orthodontic, prosthodontic, or surgical treatments. Also excluded were patients who did not have all the permanent teeth completely (except cases of hypodontia, cases of sporadic excluded teeth, cases of one or two extracted teeth, and also except the third molars), or patients with more than two extracted teeth, and a lack of complete eruption of more than two of the existing permanent teeth (including the second molars). The other exclusion criteria were single teeth with visible restorations, caries, crown fractures, or veneers (or a history of them), and teeth that had not been fully erupted. Cases with poor cast quality or a lack of panoramic radiographs or lateral cephalograms in the patient file would be excluded. Information regarding the patients’ age, sex, and type of skeletal malocclusion (Angle classes I, II, and III) was recorded from their files, radiographs, and casts. The data collection was performed from 2018 to 2020. No patient was exposed to X-rays for this research, and all the used radiographs were archival and taken merely for treatment purposes. Protocol ethics were approved by the Research Committee of the University (ethical code: U-98142) under the Helsinki Declaration [13,14,15].

The sample size was pre-determined as 267 patients using the following formula with conservative parameters: \(n=({\mathrm{Z}}^{2}* p*(1- p) )/({\mathrm{d}}^{2})\) where Z = 1.96, p (prevalence) = 0.5 (as the most conservative prevalence, i.e., the prevalence yielding the maximum sample size within this formula), and d (precision) = 0.06 (as a conservative precision). The sample size was augmented to 331 patients to ensure greater precision. After obtaining the data, the average prevalence of the traits/anomalies was 20.65%; the highest prevalence was 82.18%. For these average and maximum prevalence rates, sample sizes of 175 and 157 cases would suffice respectively, indicating that the current sample size of 331 cases was adequately large.

Examinations

All archival dental casts had been poured with white dental stone for orthodontic application. All 4 quarters of each patient were examined carefully by two observers (an experienced orthodontist and a trained dentist), twice each. They tried to identify the 60 traits/anomalies mentioned in Table 1 and Figs. 1 to 13 (25 dental traits that might appear in 60 teeth) [6, 16] as well as supernumerary teeth (hyperdontia), microdontia (totaling 62 traits/anomalies), and crowding. Microdontia was defined as noticeably small but normally shaped teeth [16].

Table 1 Nonmetric dental traits examined in this study
Fig. 1
figure 1

A shovel-shaped incisor. Figures 1 to 13 were created by taking screenshots of an educational Android program with direct permission from the developer and owner (3D Tooth Anatomy 1.0.3; Universal Hospital LP, Richmond, Virginia, USA; developed by Dr Rami Ammoun, assistant professor at Virginia Commonwealth University, Richmond, Virginia, USA) and editing some of the screenshots using 2D image editing software (Photoshop, Adobe, San Jose, California, USA)

Fig. 2
figure 2

An incisor with a talon cusp

Fig. 3
figure 3

The Carabelli cusp is visible on the palatal surface of the mesiopalatal cusp

Fig. 4
figure 4

The protostylid trait

Fig. 5
figure 5

The fifth cusp on the distal side of a maxillary first molar (arrow). The Carabelli cusp is as well visible on the mesiopalatal cusp

Fig. 6
figure 6

The hypoconulid absence: The upper tooth is a mandibular first molar with all common cusps; the lower one is a mandibular first molar without the hypoconulid cusp

Fig. 7
figure 7

The hypocone absence: The upper image shows a maxillary first molar with 4 cusps; the lower one shows a maxillary second molar without the hypocone cusp

Fig. 8
figure 8

The deflecting wrinkle (arrow) on the mesiolingual occlusal surface of a mandibular molar

Fig. 9
figure 9

The mesial ridge (yellow arrow) and distal accessory ridge (orange arrow) of the maxillary canine

Fig. 10
figure 10

The distal trigonid crest connecting the mesiobuccal and mesiolingual ridges (orange arrow), the sixth cusp on the distal side (blue arrow), and the tuberculum intermedium on the lingual side (purple arrow)

Fig. 11
figure 11

Accessory cusps on the mesial and distal marginal ridges

Fig. 12
figure 12

The mesial and distal accessory ridges

Fig. 13
figure 13

An accessory cusp on the lingual side of a 3-cusp premolar

Of these 62 traits and anomalies, 44 were found (Table 2); the prevalence of the rest of them was 0%. For hyperdontia diagnosis, also panoramic radiographs were evaluated for possible impacted supernumerary teeth. The data spreadsheets were evaluated by the two observers as well as a third evaluator to find any inconsistencies (which were rather rare). Any cases of inconsistency were re-evaluated on dental casts by both observers. The third evaluator did not check the dental casts.

Table 2 The prevalence rates (and Wilson 95% CIs for prevalence rates) of 44 nonmetric traits/anomalies (and crowding) in the sample, men, and women

The results were collected at two levels: (A) at the quarter level (hemi-mandible/hemi-maxilla), which showed each nonmetric trait/anomaly in each quarter; (B) at the patient level, which showed each trait/abnormality plus crowding and Angle classes in individual patients.

Statistical analyses

Thirty casts were reevaluated by one of the observers about one year after the original assessment, and the interrater and intrarater agreements were calculated to be high or excellent for all the found traits and anomalies (Kappa > 0.6, P < 0.05). Descriptive statistics and Wilson 95% confidence intervals (CIs) were calculated for prevalence rates. The ages of men and women were compared using an unpaired t-test. Data were also summarized for quarters. Associations between the presence of nonmetric traits besides hyperdontia/microdontia with genders, left/right sides, and skeletal malocclusions (Angle classes I, II, and III) were assessed using a chi-square test. Correlations across dental traits were assessed using a Spearman correlation coefficient. The level of significance was set at 0.05.

Results

There were 74 men and 257 women in the study. The mean (SD) age of patients was 19.21 ± 4.87 years (range 12–35). Mean ages in men and women were 18.29 ± 20.49 and 18.55 ± 19.76 years, respectively. The sexes were balanced in terms of age (t-test, P = 0.716). Of the patients, 182 (55.7%), 127 (38.8%), and 18 (5.5%) were skeletal Classes I, II, and III, respectively (the Angle classes of four patients were missing). Crowding was observed in 89 out of 331 cases (26.9%).

Prevalence rates of nonmetric traits/anomalies and their 95% CIs are presented in Table 2. Sexual dimorphism was observed in a few traits: microdontia and accessory cusps on the marginal ridge of the second mandibular molars were significantly more common in women (Table 2). Canine talon cusp and distal trigonid crest of the second mandibular molars were more prevalent in men (Table 2). The prevalence of crowding was 26.9% (CI 22.4–31.9%). It was observed in 22 men and 67 women, without any sex dimorphism (chi-square, P = 0.532).

Associations with skeletal malocclusions

There were significant associations between the skeletal Angle classes with these traits: shoveling of the central and lateral and canine (all the 3 shovelings were rather more frequent in class II), talon cusp on the canine (rather more frequent in class II), canine distal accessory ridge (rather more frequent in class II), accessory cusp in the mesial marginal ridge of the second premolar (mandibular and maxillary combined) (rather more frequent in class I and less frequent in class II), accessory cusp in the first premolar (maxillary and mandibular combined, rather more frequent in class II), and mesial accessory ridge in the first premolar (both maxillary and mandibular, less frequent in class I, Table 3). Crowding was observed in 45, 41, and 2 cases of Classes I, II, and III, respectively with no significant difference across the classes (chi-square, P = 0.101).

Table 3 Contingency tables show the net frequencies (and %) of 44 nonmetric traits/anomalies and crowding in different skeletal Angle classes, as well as associations between the presence of dental traits and dental occlusion classes

Quarter level analyses

The summary of all cases at the quarter level, in different hemimandibles and hemimaxillae, is presented in Table 4. All dental traits/anomalies were evenly distributed on the right and left sides (all chi-square P values > 0.1, Table 4).

Table 4 The net (and %) prevalence rates of 44 nonmetric traits/anomalies in different sexes, jaws, and sides

Correlations among the dental traits/anomalies

There were numerous significant correlations among the traits/anomalies (Additional file 1). The significant correlations that also had moderate or strong positive effect sizes (Rho ≥ 0.4) comprised: correlations among shoveling of different anterior teeth (Rho ≥ 0.4, P < 0.0005) as well as correlations between the canine’s distal accessory ridge and shoveling of the anterior teeth (Rho ≥ 0.4, P < 0.0005), between talon cusp on the central incisor and talon cusp on the lateral incisor (Rho ≥ 0.4, P < 0.0005), correlation between the tuberculum sextum on the lower first molar and fifth cusp on the upper first molar (Rho ≥ 0.4, P < 0.0005), correlations among accessory cusp in first premolars with shoveling of canine and to a lower degree shoveling of the other anterior teeth (Rho ≥ 0.4, P < 0.0005), correlation between mesial accessory ridge on the second premolar with distal accessory ridge on the first and second premolars (Rho ≥ 0.4, P < 0.0005), and the correlation between distal accessory ridge of the first premolar and distal accessory ridge of the second premolar (Rho ≥ 0.4, P < 0.0005, Additional file 1).

Discussion

Studies on associations between the Angle classes with nonmetric dental traits and anomalies are scarce and limited to very few anomalies. A recent study [17] assessed the association between skeletal classes and five dental anomalies; they exhibited that microdontia was associated with class III malocclusion. We could not find such an association, however, even though in both studies skeletal malocclusions had been examined. Perhaps, factors such as the ethnic background as well as other methodological factors including sample characteristics may be responsible for the differing results. Still, both studies failed to find a link between hyperdontia and Angle classes. More studies are needed in this regard before explaining potential reasons for the disputes or agreements.

Researchers from various branches of anthropology have documented human variations in different populations and have concluded that phenotypic and genotypic characteristics of populations are related to the geographical distance between them [4, 18,19,20,21]. Regionalized anthropological research can replace the classical division of humankind (as Caucasians, Negroids, and Mongoloids) as an important path for historical, evolutionary, and forensic studies [22,23,24,25]. Skeletal assessments comprise metric and nonmetric methods that can allow for designing a biological profile and identification [6, 26].

The characteristics of nonmetric traits are primarily used to predict human identity, gender, and origin [14], although as confirmed in this study, few nonmetric traits might have sex dimorphism [27]. It seems that the nonmetric properties of tooth crowns rarely have gender differences. The statistical relationship between these features is small. A significant geographical variation is seen in the frequency of these features [12]. These characteristics also play a critical role in racial and legal identification. So far, over 135 dental features have been identified in the human dental system, but few have been studied in global research [14] on dental casts, direct clinical evaluation, radiography, and digital photography [14, 28]. The characteristics of nonmetric traits are easily observed and recorded, so they provide us with information about genetic and ethnical variations that occur, to organize populations according to the group-specific evolution process [12]. It should be noted, however, that certain dental traits can disappear due to tooth wear and caries [7, 14].

In the present study, three cases of sexual dimorphism had higher frequencies in women compared to men. Regarding the Carabelli’s cusp, it had a male incidence (27.1%) significantly higher than the female (12.3%) in Brazilians [6], but in the present study and another research [29], no significant sex dimorphism was observed for this trait. The absence of hypocone was higher in women in Brazilians [6] and samples from Southeast Asia, North America, India, and North Africa [29]; however, it was not present in our study. Traits like shoveling, fifth cusp, and absence of hypoconulid showed no significant sexual dimorphism in Brazilians [6], and in the study of Hanihara [29] and Aguirre et al. [12].

It should be noted that all the subjects in this study were orthodontic patients with malocclusion and not normal people. Therefore, their results might not be generalized to the normal population. Since there was no similar study on so many dental traits in normal populations (or even orthodontic patients) sampled from any countries, we could not compare our results extensively. Future studies are warranted to evaluate these traits in the normal populations of different countries. Another limitation was the inclusion of cases with one or two extracted teeth or some excluded teeth, since such teeth might have had some traits or abnormalities and their exclusion confound the findings. Due to the difficulty in collecting the cases, we were limited to tradeoff between a few extracted or excluded teeth in some patients versus discarding the whole patient and all the available precious information altogether. Hence, we preferred to keep all the other information obtainable from a patient at the cost of introducing some rather subtle noise to the data by the extracted or excluded teeth. Finally, the sample was not equally distributed in terms of sex or the Angle classes. Hence, it may influence the finding in regards of association between dental abnormalities with sexual dimorphism or skeletal malocclusion.

Conclusions

  1. 1.

    The prevalence rates (and 95% CIs) of 44 nonmetric shape/number/size dental traits/anomalies in the Iranian orthodontic patients were documented: they might range between 0.3% and 73.1%, with similar prevalence rates on the right and left sides.

  2. 2.

    Sex dimorphism was uncommon in nonmetric traits/anomalies. (A) It was shown that microdontia, hypocone absence, and accessory cusps on the marginal ridge of the mandibular second molars might be more prevalent in women. (B) Canine talon cusp and distal trigonid crest of the second mandibular molars might be more prevalent in men.

  3. 3.

    The skeletal malocclusions were associated with certain dental traits/abnormalities: (A) Shoveling of all the anterior teeth, talon cusp on the canine, canine distal accessory ridge, and accessory cusp in the first premolar might be more prevalent in skeletal Angle class II; whereas (B) accessory cusp in the mesial marginal ridge of the second premolar might be rather more prevalent in skeletal class I, and (C) mesial accessory ridge of the first premolar might be less frequent in skeletal class I.

  4. 4.

    The occurrences of a few dental traits/anomalies were positively correlated with each other to a moderate or strong extent.

Availability of data and material

The datasets generated and/or analyzed during the current study are not publicly available due to authors’ decision, but are available from the corresponding author on reasonable request.

References

  1. Felemban NH, Manjunatha BS. Prevalence of the number of cusps and occlusal groove patterns of the mandibular molars in a Saudi Arabian population. J Forensic Leg Med. 2017;49:54–8.

    Article  PubMed  Google Scholar 

  2. Biggerstaff RH. Morphological variations for the permanent mandibular first molars in human monozygotic and dizygotic twins. Arch Oral Biol. 1970;15(8):721-IN3.

    Article  Google Scholar 

  3. Yonezu T, Warren JJ, Bishara SE, Steinbock KL. Comparison of tooth size and dental arch widths in contemporary Japanese and American Preschool Children. World J Orthod. 2001;2(4):356–60.

    Google Scholar 

  4. Herrera B, Hanihara T, Godde K. Comparability of multiple data types from the Bering Strait region: cranial and dental metrics and nonmetrics, mtDNA, and Y-chromosome DNA. Am J Phys Anthropol. 2014;154(3):334–48.

    Article  PubMed  Google Scholar 

  5. Hillson S. Dental anthropology. Cambridge: Cambridge University Press; 1996.

    Book  Google Scholar 

  6. Tinoco RL, Lima LN, Delwing F, Francesquini L Jr, Daruge E Jr. Dental anthropology of a Brazilian sample: frequency of nonmetric traits. Forensic Sci Int. 2016;258(102):e1–5. https://doi.org/10.1016/j.forsciint.2015.10.019.

    Article  Google Scholar 

  7. Abrantes C, Santos R, Pestana D, Pereira CP. Application of dental morphological characteristics for medical-legal identification: sexual diagnosis in a Portuguese population. HSOA J Forensic Leg Investig Sci. 2015;1:001.

    Article  Google Scholar 

  8. Portin P, Alvesalo L. The inheritance of shovel shape in maxillary central incisors. Am J Phys Anthropol. 1974;41(1):59–62.

    Article  PubMed  Google Scholar 

  9. Irish JD. Characteristic high-and low-frequency dental traits in Sub-Saharan African populations. Am J Phys Anthropol. 1997;102(4):455–67.

    Article  PubMed  Google Scholar 

  10. Greenberg JH, Turner CG, Zegura SL, Campbell L, Fox JA, Laughlin W, et al. The settlement of the Americas: a comparison of the linguistic, dental, and genetic evidence [and comments and reply]. Curr Anthropol. 1986;27:477–97.

    Article  Google Scholar 

  11. Coppa A, Cucina A, Mancinelli D, Vargiu R, Calcagno JM. Dental anthropology of Central-Southern, Iron Age Italy: the evidence of metric versus nonmetric traits. Am J Phys Anthropol. 1998;107(4):371–86.

    Article  PubMed  Google Scholar 

  12. Aguirre L, Castillo D, Solarte D, Moreno F. Frequency and variability of five non-metric dental crown traits in the primary and permanent dentitions of a racially mixed population from Cali, Colombia. Dent Anthropol. 2006;19(2):39–47.

    Article  Google Scholar 

  13. Ghorbanijavadpour F, Rakhshan V, Ashoori N. Evaluation of prevalence of hypodontia based on sex, dental and skeletal relationship in patients admitted to Ahvaz Dental School. J Isfahan Dent Sch. 2021;17(1):56–63.

    Google Scholar 

  14. Baby TK, Sunil S, Babu SS. Nonmetric traits of permanent posterior teeth in Kerala population: a forensic overview. J Oral Maxillofac Pathol: JOMFP. 2017;21(2):301.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Rakhshan V, Ghorbanyjavadpour F, Ashoori N. Buccolingual and mesiodistal dimensions of the permanent teeth, their diagnostic value for sex identification, and bolton indices. Biomed Res Int. 2022;2022:8381436. https://doi.org/10.1155/2022/8381436.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Scheid RC, Weiss G. Woelfel’s dental anatomy. Burlington: Jones & Bartlett Publishers; 2020.

    Google Scholar 

  17. Fernandez CCA, Pereira CVCA, Luiz RR, Vieira AR, De Castro CM. Dental anomalies in different growth and skeletal malocclusion patterns. Angle Orthod. 2018;88(2):195–201.

    Article  PubMed  Google Scholar 

  18. Relethford JH. Boas and beyond: migration and craniometric variation. Am J Hum Biol. 2004;16(4):379–86.

    Article  PubMed  Google Scholar 

  19. González-José R, Bortolini MC, Santos FR, Bonatto SL. The peopling of America: craniofacial shape variation on a continental scale and its interpretation from an interdisciplinary view. Am J Phys Anthropol. 2008;137(2):175–87.

    Article  PubMed  Google Scholar 

  20. Hunley KL, Healy ME, Long JC. The global pattern of gene identity variation reveals a history of long-range migrations, bottlenecks, and local mate exchange: implications for biological race. Am J Phys Anthropol. 2009;139(1):35–46.

    Article  PubMed  Google Scholar 

  21. Relethford JH. Race and global patterns of phenotypic variation. Am J Phys Anthropol. 2009;139(1):16–22.

    Article  PubMed  Google Scholar 

  22. Gill GW. Craniofacial criteria in the skeletal attribution of race. In: Reichs KJ (ed) Forensic osteology: advances in the identification of human remains, 2nd edition. 1998; p. 293–317.

  23. White TD, Black MT, Folkens PA. Human osteology. Cambridge: Academic Press; 2011.

    Google Scholar 

  24. Byers S. Forensic anthropology: a text book. Boston: Allyng & Bacon; 2002.

    Google Scholar 

  25. Ousley S, Jantz R, Freid D. Understanding race and human variation: why forensic anthropologists are good at identifying race. Am J Phys Anthropol. 2009;139(1):68–76.

    Article  PubMed  Google Scholar 

  26. Berg GE, Ta’ala SC. Biological affinity in forensic identification of human skeletal remains: beyond black and white. Boca Raton: CRC Press; 2014.

    Book  Google Scholar 

  27. Flórez CDR. Antropología dental en Colombia. Comienzos, estado actual y perspectivas de investigación. Antropo. 2003;4:17–27.

    Google Scholar 

  28. Irish JD, Nelson GC. Technique and application in dental anthropology. Cambridge: Cambridge University Press; 2008.

    Book  Google Scholar 

  29. Hanihara T. Morphological variation of major human populations based on nonmetric dental traits. Am J Phys Anthropol. 2008;136(2):169–82.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors express their sincere gratitude to Dr Rami Ammoun for allowing them to use screenshots of his program (3D Tooth Anatomy 1.0.3, Universal Hospital LP, Richmond, Virginia, USA) as a basis for Figs. 1 to 13. They extend their appreciations to Mohammad Masoumi for editing the screenshots.

Funding

The study was self-funded by the authors.

Author information

Authors and Affiliations

Authors

Contributions

NA searched the literature, collected the data, interpreted the findings, wrote the thesis from which this article was derived, drew the tooth images, and contributed to some tables. FG searched the literature, contributed to the study design and selection of dental traits/anomalies to be examined, collected the data, mentored the thesis, interpreted the findings, and wrote Table 1. VR searched the literature, conceived the study and all the hypotheses, designed the study, validated the data and analyzed them, mentored the thesis, interpreted the findings, contributed to figures, and drafted the manuscript and Tables. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Vahid Rakhshan.

Ethics declarations

Ethics approval and consent to participate

Protocol ethics were approved by the Research Committee of the University (ethical code: U-98142) in accordance with the Helsinki Declaration. The study was retrospective and did not include any subjects, but only their records/casts/radiographs.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest and no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

Spearman correlation coefficients among the evaluated nonmetric dental traits/anomalies as well as sex and crowding.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ashoori, N., Ghorbanyjavadpour, F. & Rakhshan, V. Associations between 44 nonmetric permanent dental traits or anomalies with skeletal sagittal malocclusions and sex, besides correlations across the variations or abnormalities. BMC Oral Health 22, 544 (2022). https://doi.org/10.1186/s12903-022-02481-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12903-022-02481-y

Keywords