{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T17:51:00Z","timestamp":1792000260750,"version":"4.4.0"},"reference-count":88,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"British Nutrition Foundation and the Ministry of Higher Education of Saudi Arabia","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Asian Indians face an increased burden of cardiometabolic diseases, yet the interplay between genetic predisposition and diet quality in this population remains underexplored. This study aimed to examine their interaction on cardiometabolic traits in this population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We conducted a cross-sectional analysis of 1,020 adults (452 men, 568 women; aged 25\u201380 years) from the Chennai Urban Rural Epidemiology Study (CURES). A genetic risk score (GRS) of three variants:\n                      <jats:italic>TCF7L2<\/jats:italic>\n                      rs7903146,\n                      <jats:italic>FTO<\/jats:italic>\n                      rs8050136, and\n                      <jats:italic>FTO<\/jats:italic>\n                      rs1588413 was constructed. Diet quality was evaluated using the Indian Diet Quality Score, based on the intake of eight food groups. Associations between the GRS and cardiometabolic traits, as well as the interactions between the GRS and diet quality score, were assessed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A high GRS was significantly associated with higher fasting plasma glucose (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005) and glycated haemoglobin (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.006). Significant interactions between the GRS and the diet quality score were observed on total cholesterol (P\n                      <jats:sub>interaction<\/jats:sub>\n                      \u2009=\u20090.003) and low-density lipoprotein cholesterol (P\n                      <jats:sub>interaction<\/jats:sub>\n                      \u2009=\u20090.005) concentrations, after correction for multiple testing. At the low diet quality score level, individuals with a high GRS had significantly higher total cholesterol and low-density lipoprotein cholesterol concentrations than those with a low GRS (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001, for all comparisons).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study provides novel evidence for the effect of gene\u2013diet quality interactions on lipid outcomes in Asian Indians. Individuals with higher genetic risk may be more vulnerable to lipid abnormalities when adhering to a low-quality diet, emphasising the value of integrating genetic and dietary data into personalised nutrition strategies for lipid-related cardiometabolic risk prevention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0357182","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T17:23:05Z","timestamp":1791998585000},"page":"e0357182","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Low diet quality increases the genetic risk of high blood cholesterol levels in Asian Indian adults [CURES \u2013 165]"],"prefix":"10.1371","volume":"21","author":[{"given":"Manahil M.","family":"Bineid","sequence":"first","affiliation":[{"name":"Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading","place":["Reading, United Kingdom"],"department":["Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences"]},{"name":"College of Agriculture and Food Sciences, King Faisal University","place":["Al-Ahsa, Saudi Arabia"],"department":["Department of Food and Nutritional Sciences"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhanasekaran","family":"Bodhini","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation","place":["Chennai, India"],"department":["Department of Molecular Genetics"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kandaswamy","family":"Ramya","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation","place":["Chennai, India"],"department":["Department of Molecular Genetics"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Coimbatore Subramanian Shanthi","family":"Rani","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation","place":["Chennai, India"],"department":["Department of Clinical Epidemiology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajendra","family":"Pradeepa","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation","place":["Chennai, India"],"department":["Department of Research Operations and Diabetes Complications"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ranjit Mohan","family":"Anjana","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation (ICMR- Collaborating Centre of Excellence) & Dr Mohan\u2019s Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care)","place":["Chennai, India"],"department":["Department of Diabetology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Venkatesan","family":"Radha","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation","place":["Chennai, India"],"department":["Department of Molecular Genetics"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5038-6210","authenticated-orcid":true,"given":"Viswanathan","family":"Mohan","sequence":"additional","affiliation":[{"name":"Madras Diabetes Research Foundation (ICMR- Collaborating Centre of Excellence) & Dr Mohan\u2019s Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care)","place":["Chennai, India"],"department":["Department of Diabetology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8485-8930","authenticated-orcid":true,"given":"Karani Santhanakrishnan","family":"Vimaleswaran","sequence":"additional","affiliation":[{"name":"Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading","place":["Reading, United Kingdom"],"department":["Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences"]},{"name":"The Institute for Food, Nutrition and Health (IFNH), University of Reading","place":["Reading, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,14]]},"reference":[{"key":"pone.0357182.ref001","doi-asserted-by":"crossref","unstructured":"Tan SCW, Zheng BB, Tang ML, Chu H, Zhao YT, Weng C. 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