{Reference Type}: Journal Article
{Title}: Understanding the variant landscape, and genetic epidemiology of Multiple Endocrine Neoplasia in India.
{Author}: Vatsyayan A;Imran M;Bhardwaj J;Vr A;Agrawal SJ;Saikia BJ;Senthivel V;Pandhare K;Bhoyar RC;Divakar MK;Mishra A;Jolly B;Trehan S;Sivasubbu S;Scaria V;
{Journal}: Endocrine
{Volume}: 0
{Issue}: 0
{Year}: 2024 Aug 7
{Factor}: 3.925
{DOI}: 10.1007/s12020-024-03982-2
{Abstract}: <B>OBJECTIVE: </B>Multiple Endocrine Neoplasia (MEN) is a group of familial cancer syndromes that encompasses several types of endocrine tumors differentiated by genetic mutations in RET, MEN1 and CDKN1B genes. Accurate diagnosis of MEN subtypes can thus be performed through genetic testing. However, MEN variants remain largely understudied in Indian populations. Additionally, few dedicated resources to understand these disorders currently exist.<BR><B>METHODS: </B>Using the gold-standard ACMG/AMP guidelines, we systematically classified variants reported across the three genes in the IndiGen dataset, and established the genetic epidemiology of MEN in the Indian population. We further classified ClinVar and Mastermind variants and compiled all into a database. Finally, we designed a multiplex primer panel for rapid variant identification.<BR><B>RESULTS: </B>We have established the genetic prevalence of MEN as the following: 1 in 1026 individuals is likely to be afflicted with MEN linked with pathogenic RET mutations. We have further created the MAPVar database containing 3280 ACMG-classified variants freely accessible at: https://clingen.igib.res.in/MAPVar/ . Finally, our NGS primer panel covers 33 exonic regions across two pools through 38 amplicons with a total amplified region of 65 kb.<BR><B>CONCLUSIONS: </B>Our work establishes that MEN is a prevalent disorder in India. The rare nature of Indian variants underscores the need of genomic and functional studies to establish a more comprehensive variant landscape. Additionally, our panel offers a means of cost-effective genetic testing, and the MAPVar database a ready reference to aid in a better understanding of variant pathogenicity in clinical as well as research settings.