ESPE2016 Poster Presentations Gonads & DSD P1 (48 abstracts)
The International AGD Consortium: A Multi-center Study of 3939 Infants and Children with Anogenital Distance Measurements
Marie Lindhardt Johansen a, , Ajay Thankamony b, , Carlo Acerini c , Tina Kold Jensen a, , Katharina M. Main a, , Jørgen Holm Petersen a, , Shanna Swan b, & Anders Juul a,
aDepartment of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; bInternational Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; cDepartment of Paediatrics, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK; dDepartment of Environmental Medicine, Institute of Public Health, University of Southern Denmark, Odense, Denmark; eDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
Background: The anogenital distance (AGD) is considered a valid marker of altered androgen action in utero. Recently, reduced AGD has been shown in males with hypospadias, cryptorchidism, reduced semen quality and infertility. It has also been proposed as a new marker to be used by clinicians when managing patients with Disorders of Sex Development. However, little normative data exist and measurement methods vary.
Objective and hypotheses: We established the International AGD Consortium (IAC), hosted by EDMaRC (www.edmarc.net), with the primary aim of creating an international database for AGD. The aims are to: 1) Generate normative data for AGD in infancy and childhood. 2) Explore the variability in AGD related to age, sex, body size, ethnicity and measurement method. 3) Promote and facilitate AGD-related research by providing access to a large international data set of AGD measurements and relevant covariates.
Method: Anonymized data on measurements of AGD, relevant anthropometric data, age, genital phenotype and background data including birth weight, gestational age, ethnicity and measurement method will be included in the database. Normative data for the different types of AGD will be generated using the Lambda-Mu-Sigma (LMS) method.
Results: The IAC database has been developed, validated and registered (www.clinicaltrials.gov #NCT02497209). At the time of writing, it includes data from The Odense Mother-Child Cohort (DK), The Cambridge Baby Cohort (UK) and The Infant Development and the Environment Study (TIDES) (US). A total of 3939 children aged 0–67 months with 9084 examinations have been included. Two different methods of AGD measurement have been used.
Conclusion: The IAC database has been created and currently includes data from 3939 children. Principle investigators from all published studies on infant/child AGD will be invited to join IAC. Further analyses including the creation of normative AGD values according to gender, age, ethnicity and method will subsequently be carried out.
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