{"id":35074,"date":"2025-04-13T06:37:02","date_gmt":"2025-04-13T01:07:02","guid":{"rendered":"https:\/\/vajiramandravi.com\/current-affairs\/?p=35074"},"modified":"2025-04-20T21:22:53","modified_gmt":"2025-04-20T15:52:53","slug":"genome-sequencing-and-the-genome-india-project","status":"publish","type":"post","link":"https:\/\/vajiramandravi.com\/current-affairs\/genome-sequencing-and-the-genome-india-project\/","title":{"rendered":"Genome India Project: Mapping India&#8217;s Genetic Diversity for Better Healthcare"},"content":{"rendered":"<h2><strong>\u00a0<\/strong>What\u2019s in Today\u2019s article?<\/h2>\n<ul>\n<li>Genome India project Latest News<\/li>\n<li>Launch of Genome India project<\/li>\n<li>Sampling Strategy<\/li>\n<li>Key Genetic Findings<\/li>\n<li>Genome India Project FAQ\u2019s<\/li>\n<\/ul>\n<h2>Genome India project Latest News<\/h2>\n<ul>\n<li>The preliminary findings of the Genome India project, which aimed to sequence the whole genomes of 10,000 healthy and unrelated Indians from 83 population groups, were published in Nature Genetics.\u00a0<\/li>\n<li>After excluding two population groups, the study analyzed data from 9,772 individuals, including 4,696 men and 5,076 women.<\/li>\n<\/ul>\n<h2>Launch of Genome India project<\/h2>\n<ul>\n<li>The <strong>Genome India project<\/strong> was launched in <strong>January 2020<\/strong>, with funding from the <strong>Department of Biotechnology<\/strong>.<\/li>\n<li><strong>Scope and Sample Collection<\/strong>\n<ul>\n<li>The study aimed to collect <strong>blood samples and phenotype data<\/strong> (e.g., weight, height, hip &amp; waist circumference, blood pressure).<\/li>\n<li>Participants represented 83 population groups: 30 tribal; 53 non-tribal.<\/li>\n<li>These groups were spread across India.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Genome Sequencing<\/strong>\n<ul>\n<li>Whole genome sequencing was performed on DNA samples from 10,074 individuals.<\/li>\n<li>After excluding two populations, data from 9,772 individuals was analyzed.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Collaborating Institutions<\/strong>\n<ul>\n<li>The project is a collaborative effort involving 20 institutions. Genome sequencing was carried out by:\n<ul>\n<li>Centre for Brain Research, IISc Bengaluru<\/li>\n<li>Centre for Cellular and Molecular Biology, Hyderabad<\/li>\n<li>Institute of Genomics &amp; Integrative Biology, Delhi<\/li>\n<li>National Institute of Biomedical Genomics, Kolkata<\/li>\n<li>Gujarat Biotechnology Research Centre, Gandhinagar<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Sampling Strategy<\/h2>\n<ul>\n<li>Samples were collected from <strong>83 population groups<\/strong> across <strong>100+ distinct geographical locations<\/strong>.<\/li>\n<li><strong>Median samples collected<\/strong>:159 individuals per non-tribal group; 75 individuals per tribal group.<\/li>\n<li>Participants were unrelated to ensure accurate estimation of mutation frequencies.<\/li>\n<li><strong>Parent-Child Pairs<\/strong>\n<ul>\n<li>3 to 6 parent-child pairs were included in each group.<\/li>\n<li>Purpose: To detect <strong>de novo mutations<\/strong> (mutations present in a child but absent in parents).<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribal and Non-Tribal Genome Coverage<\/strong>\n<ul>\n<li><strong>Tribal groups sequenced<\/strong>:\n<ul>\n<li>Tibeto-Burman tribe<\/li>\n<li>Indo-European tribe<\/li>\n<li>Dravidian tribe<\/li>\n<li>Austro-Asiatic tribe<\/li>\n<li>Continentally admixed outgroup<\/li>\n<\/ul>\n<\/li>\n<li><strong>Non-tribal groups sequenced<\/strong>:\n<ul>\n<li>Tibeto-Burman non-tribe<\/li>\n<li>Indo-European non-tribe<\/li>\n<li>Dravidian non-tribe<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Linguistic Representation<\/strong>\n<ul>\n<li>Sampling aligned with India\u2019s major language families, which correlate with genetic diversity:\n<ul>\n<li>Indo-European<\/li>\n<li>Dravidian<\/li>\n<li>Austro-Asiatic<\/li>\n<li>Tibeto-Burman<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Excluded Populations<\/strong>\n<ul>\n<li>Four ancient Andamanese populations (dating back ~65,000 years)<\/li>\n<li>Two relatively modern populations (from ~5,500 years ago)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Key Genetic Findings<\/h2>\n<ul>\n<li>180 million mutations identified in total:\n<ul>\n<li>130 million in autosomes (non-sex chromosomes)<\/li>\n<li>50 million in sex chromosomes (X and Y)<\/li>\n<\/ul>\n<\/li>\n<li>The large number is expected, given the 3 billion DNA base pairs and sequencing of 9,772 individuals from 83 distinct endogamous groups.<\/li>\n<li>98% of the human genome consists of non-coding regions, and most variants are likely found here.\n<ul>\n<li>Non-coding region mutations, especially evolutionarily conserved polymorphisms, help in tracing human evolutionary history.<\/li>\n<li>This is especially important in India, where many contemporary populations stem from a few founding groups and have remained genetically distinct due to endogamy.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Impact of Endogamy<\/strong>\n<ul>\n<li>All 83 groups studied practice endogamy, though to varying degrees.<\/li>\n<li>Long-term endogamy has led to population-specific unique mutations, including disease-causing genetic variants with amplified frequencies.<\/li>\n<li>India\u2019s genetic diversity has been underrepresented in global (largely Eurocentric) genome studies.<\/li>\n<li>This project addresses that gap by capturing the genetic landscape of one of the most diverse populations globally.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Medical Implications<\/strong>\n<ul>\n<li>The findings will encourage studies on genetic links to diseases specific to Indian populations.<\/li>\n<li>It promotes precision medicine, allowing for personalized treatment strategies tailored to Indian genetic make-up.<\/li>\n<li>Enables development of affordable diagnostic tools for early disease detection, prevention, and management in India.<\/li>\n<li>Findings can support targeted public health policies to address population-specific genetic disorders.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Genome India Project FAQs<\/h2>\n<p><strong>Q1.<\/strong> What is the Genome India project?<\/p>\n<p><strong>Ans.<\/strong> It is a nationwide genome sequencing initiative to map genetic diversity in 10,000 unrelated Indians across 83 population groups.<\/p>\n<p><strong>Q2.<\/strong> When was the Genome India project launched?<\/p>\n<p><strong>Ans.<\/strong> It was launched in January 2020, funded by the Department of Biotechnology, to understand India&#8217;s genetic diversity and diseases.<\/p>\n<p><strong>Q3.<\/strong> What were the key findings of Genome India?<\/p>\n<p><strong>Ans.<\/strong> The study found 180 million mutations, mostly in non-coding DNA, highlighting India&#8217;s distinct genetic profile due to endogamy.<\/p>\n<p><strong>Q4.<\/strong> Why is endogamy significant in Genome India?<\/p>\n<p><strong>Ans.<\/strong> Endogamy led to unique, population-specific mutations that help trace evolution and identify group-specific disease risks for precision healthcare.<\/p>\n<p><strong>Q5.<\/strong> What are the health benefits of Genome India?<\/p>\n<p><strong>Ans.<\/strong> It enables development of tailored diagnostics, early disease detection, and precision medicine based on Indian genetic profiles.<\/p>\n<p><strong>Source:\u00a0<\/strong><a href=\"https:\/\/www.thehindu.com\/sci-tech\/science\/how-will-genetic-mapping-of-indians-help-explained\/article69443842.ece#:~:text=The%20study%20is%20therefore%20important,with%20targeted%20public%20health%20policies.\" target=\"_blank\" rel=\"nofollow noopener\">TH<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GenomeIndia&#8217;s findings from 9,772 genomes reveal India&#8217;s unique mutations and open doors for precision medicine and targeted healthcare.<\/p>\n","protected":false},"author":5,"featured_media":35075,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[18],"tags":[],"class_list":{"0":"post-35074","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-upsc-mains-current-affairs","8":"no-featured-image-padding"},"acf":[],"_links":{"self":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/35074","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/comments?post=35074"}],"version-history":[{"count":0,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/35074\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media\/35075"}],"wp:attachment":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media?parent=35074"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/categories?post=35074"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/tags?post=35074"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}