Association Between Hand Digit Ratio (2D:4D) and Nonsyndromic Orofacial Clefts

Autor: Camila Reis Barbosa, Lívia Máris Ribeiro Paranaíba, Daniela Reis Barbosa Martelli, Myriam Thatyana Miranda Esteves da Silva, Patrícia Helena Costa Mendes, Mário Sérgio Oliveira Swerts, Marise Fagundes Silveira, Letízia Monteiro de Barros, Hercílio Martelli Júnior
Rok vydání: 2016
Předmět:
Zdroj: The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association. 54(5)
ISSN: 1545-1569
Popis: Objectives Digit ratio (2D:4D) has been considered to be a marker in studies evaluating an individual's susceptibility to diseases, especially those diseases that show sex differences in their occurrence. We aimed to assess whether 2D:4D ratios are associated with nonsyndromic cleft lip and/or palate (NSCL/P) and verify the existence of a specific pattern of 2D:4D ratio in individuals affected by orofacial clefts. Design This was a case-control study. Methods Digital measurements of index and ring finger lengths of both hands of patients with NSCL/P (n =54) and age- and gender-matched controls (n = 54) were obtained using a digital vernier caliper. Mean ratios between the second and fourth digits were compared. Data were analyzed by Student's t test and Mann-Whitney test with a significance level of 5%. Results No significant difference was found between the mean digit ratios of the right and left hands between the groups for any analysis ( P > .05), neither for the whole sample nor for the distributions by type of cleft and by gender. Conclusions Although the development of the fingers and the occurrence of NSCL/P can be regulated by the actions of similar genes, our results are not consistent with an association between 2D:4D ratio and this craniofacial deformity. This suggests that intrauterine exposure to fetal androgens, assessed using this marker, is similar between patients with NSCL/P and healthy individuals. We highlight the need for further studies in populations with different ancestries.
Databáze: OpenAIRE