Introduction: India records almost all known genetic disease, however surveillance activities and services are limited. Geographical information system (GIS) can act as a useful tool for surveillance. Aims: The aim of the study was to assess the geospatial distribution of genetic diseases in Southern Karnataka, India and to describe their clinico-epidemiological profile. Methodology: A cross-sectional study was conducted among 101 genetic disease patients attending the Genetic clinic of a tertiary care hospital. Data regarding the socio-demographic and clinico-epidemiological profile of the patients were collected using a semi-structured questionnaire. The geographical co-ordinates of the patients__ampersandsignrsquo; addresses were recorded. Statistical analysis was performed using SPSS Version 22 and QGIS software Version 3.16.3 __ampersandsignldquo;Hannover__ampersandsignrdquo; was used to create the maps. Qualitative variables were represented using proportions. Association between qualitative variables were inferred using Chi-square test. Results: Geospatial mapping showed that functional genetic diseases were more compared to structural genetic diseases. Among the 101 patients, 66(65.34%) were males, 34(33.66%) were females and 1(0.99%) belonged to the other gender. 17.82% were born of a 2nd degree and 25.74% from a 3rd degree consanguineous marriage. 3(2.97%) of mothers were above the age of 35 years. 75(74.25%) had gene defects, 13(12.87%) had chromosomal diseases, 7(6.93%) had mitochondrial diseases and 6(5.94%) had multifactorial diseases. Conclusion: It is evident from the geospatial mapping that both structural and functional genetic diseases have a widespread distribution in the population and is no longer a __ampersandsignldquo;rare disease__ampersandsignrdquo;. It is the need of the hour to expand surveillance activities.