[{"data":1,"prerenderedAt":256},["ShallowReactive",2],{"blog-post-case-studies-genome-studies":3},{"post":4,"yoastData":32,"postHeadings":245},{"id":5,"date":6,"date_gmt":6,"guid":7,"modified":9,"modified_gmt":9,"slug":10,"status":11,"type":12,"link":13,"title":14,"content":16,"excerpt":19,"featured_media":21,"template":20,"portfolio_category":22,"class_list":24,"yoast_head":31,"yoast_head_json":32,"_links":95,"_embedded":122,"category":206,"thumbnail":48},7718,"2025-06-25T12:50:34",{"rendered":8},"https://modak.com/?post_type=portfolio&#038;p=6775","2025-10-24T15:05:37","genome-studies","publish","portfolio","https://blog2.modak.com/portfolio/genome-studies/",{"rendered":15},"Genome studies",{"rendered":17,"protected":18},"\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\u003Csection id=\"bt_bb_section6a26bf7023f33\" class=\"bt_bb_section bt_bb_layout_boxed_1200 bt_bb_vertical_align_top\">\u003Cdiv class=\"bt_bb_port\">\u003Cdiv class=\"bt_bb_cell\">\u003Cdiv class=\"bt_bb_cell_inner\">\u003Cdiv class=\"bt_bb_row \">\u003Cdiv class=\"bt_bb_row_holder\">\u003Cdiv class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_top bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\">\u003Cdiv class=\"bt_bb_column_content\">\u003Cdiv class=\"bt_bb_column_content_inner\">\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_none bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003Cdiv class=\"bt_bb_row \">\u003Cdiv class=\"bt_bb_row_holder\">\u003Cdiv class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_top bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\">\u003Cdiv class=\"bt_bb_column_content\">\u003Cdiv class=\"bt_bb_column_content_inner\">\u003Cdiv class=\"bt_bb_text\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">A genome-wide association study (GWAS) is a genetics research method for linking specific genetic variants to specific diseases. The procedure entails scanning the genomes of a large number of people in order to find genetic markers that can be used to predict the existence of disease.\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\n\u003C/p>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/section>\u003Csection id=\"bt_bb_section6a26bf70245f4\" class=\"bt_bb_section bt_bb_layout_boxed_1200 bt_bb_vertical_align_top\">\u003Cdiv class=\"bt_bb_port\">\u003Cdiv class=\"bt_bb_cell\">\u003Cdiv class=\"bt_bb_cell_inner\">\u003Cdiv class=\"bt_bb_row \">\u003Cdiv class=\"bt_bb_row_holder\">\u003Cdiv class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_middle bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\">\u003Cdiv class=\"bt_bb_column_content\">\u003Cdiv class=\"bt_bb_column_content_inner\">\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_none bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003Cheader class=\"bt_bb_headline bt_bb_dash_none bt_bb_superheadline bt_bb_size_inherit bt_bb_align_inherit\">\u003Ch1 class=\"bt_bb_headline_tag\">\u003Cspan class=\"bt_bb_headline_superheadline\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Ch4 id=\"high-performance-genome-analysis-at-scale-gwas-genome-wide-association-study\"  class=\"gradient-heading\" style=\"scroll-margin-top: 8rem;\">High-Performance Genome Analysis at Scale GWAS (Genome-Wide Association Study)\u003C/h4>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\u003C/span>\u003C/h1>\u003C/header>\u003Cdiv class=\"bt_bb_text\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">This study helps to develop customized medicines depending on various factors that affect the subject, thereby reducing the risk of side effects and increasing the effectiveness.\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\n\u003C/p>\u003C/div>\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_none bt_bb_bottom_spacing_small bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/section>\u003Csection id=\"bt_bb_section6a26bf7024be1\" class=\"bt_bb_section bt_bb_layout_boxed_1200 bt_bb_vertical_align_top bt_bb_top_spacing_small\">\u003Cdiv class=\"bt_bb_port\">\u003Cdiv class=\"bt_bb_cell\">\u003Cdiv class=\"bt_bb_cell_inner\">\u003Cdiv class=\"bt_bb_row \">\u003Cdiv class=\"bt_bb_row_holder\">\u003Cdiv class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_middle bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\">\u003Cdiv class=\"bt_bb_column_content\">\u003Cdiv class=\"bt_bb_column_content_inner\">\u003Cheader class=\"bt_bb_headline bt_bb_dash_none bt_bb_superheadline bt_bb_size_inherit bt_bb_align_inherit\">\u003Ch1 class=\"bt_bb_headline_tag\">\u003Cspan class=\"bt_bb_headline_superheadline\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Ch4 id=\"how-is-the-study-done\"  class=\"gradient-heading\" style=\"scroll-margin-top: 8rem;\">How is the study done?\u003C/h4>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\u003C/span>\u003C/h1>\u003C/header>\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_none bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003Cdiv class=\"bt_bb_text\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">The blood samples from two similar bodies are taken, of which one is affected by disease and the other is not. Then, the DNA of the subjects is collected from the blood samples and further study of the structures is done by trying to find the SNPs. Then those gaps are studied thoroughly, and a solution is found.\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">This process requires fewer human resources. Hence, it is cost-effective. Here, precision is the key to success. Even a small calculation error can cost lives.\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\n\u003C/p>\u003C/div>\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_none bt_bb_bottom_spacing_small bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/section>\u003Csection id=\"bt_bb_section6a26bf7025025\" class=\"bt_bb_section bt_bb_layout_boxed_1200\">\u003Cdiv class=\"bt_bb_port\">\u003Cdiv class=\"bt_bb_cell\">\u003Cdiv class=\"bt_bb_cell_inner\">\u003Cdiv class=\"bt_bb_row \">\u003Cdiv class=\"bt_bb_row_holder\">\u003Cdiv class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_middle bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\">\u003Cdiv class=\"bt_bb_column_content\">\u003Cdiv class=\"bt_bb_column_content_inner\">\u003Cheader class=\"bt_bb_headline bt_bb_dash_none bt_bb_superheadline bt_bb_superheadline_outside bt_bb_size_inherit bt_bb_align_inherit\">\u003Cdiv class=\"bt_bb_headline_superheadline_outside\">\u003Cspan class=\"bt_bb_headline_superheadline\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Ch4 id=\"our-solution\"  class=\"gradient-heading\" style=\"scroll-margin-top: 8rem;\">Our Solution\u003C/h4>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\u003C/span>\u003C/div>\u003C/header>\u003Cdiv class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_none bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\">\u003Cdiv class=\"bt_bb_separator_v2_inner\">\u003Cspan class=\"bt_bb_separator_v2_inner_before\">\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_content\">\u003Cspan class=\"bt_bb_icon_holder\">\u003C/span>\u003C/span>\u003Cspan class=\"bt_bb_separator_v2_inner_after\">\u003C/span>\u003C/div>\u003C/div>\u003Cdiv class=\"bt_bb_text\">\u003Cp class=\"text-justify leading-loose text-black mb-4\">\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">We use CUDA libraries to leverage GPU acceleration and harness the enormous computing power of Nvidia’s graphics processing units. Our tools are built to run on a GPU cluster and try to exploit the massively parallel architecture of GPUs.\u003C/p>\n\u003Cp class=\"text-justify leading-loose text-black mb-4\">OpenMPI and Nvidia’s NCCL and NVBLAS libraries have been used to achieve this feat. 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