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Association of common genetic variants with lipid traits in the Indian population
Genome-wide association studies (GWAS) have been instrumental in identifying novel genetic variants associated with altered plasma lipid levels. However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabo...
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Published in: | PloS one 2014-07, Vol.9 (7), p.e101688-e101688 |
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creator | Walia, Gagandeep Kaur Gupta, Vipin Aggarwal, Aastha Asghar, Mohammad Dudbridge, Frank Timpson, Nicholas Singh, Nongmaithem Suraj Kumar, M Ravi Kinra, Sanjay Prabhakaran, Dorairaj Reddy, K Srinath Chandak, Giriraj Ratan Smith, George Davey Ebrahim, Shah |
description | Genome-wide association studies (GWAS) have been instrumental in identifying novel genetic variants associated with altered plasma lipid levels. However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabolic disorders. We present the association of six single nucleotide polymorphisms in 1671 sib pairs (3342 subjects) with four lipid traits: total cholesterol, triglycerides, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). We also investigated the interaction effects of gender, location, fat intake and physical activity. Each copy of the risk allele of rs964184 at APOA1 was associated with 1.06 mmol/l increase in triglycerides (SE = 0.049; p = 0.006), rs3764261 at CETP with 1.02 mmol/l increase in both total cholesterol (SE = 0.042; p = 0.017) and HDL-C (SE = 0.041; p = 0.008), rs646776 at CELSR2-PSRC1-SORT1 with 0.96 mmol/l decrease in cholesterol (SE = 0.043; p = 0.0003) and 0.15 mmol/l decrease in LDL-C levels (SE = 0.043; p = 0.0003) and rs2954029 at TRIB1 with 1.02 mmol/l increase in HDL-C (SE = 0.039; p = 0.047). A combined risk score of APOA1 and CETP loci predicted an increase of 1.25 mmol/l in HDL-C level (SE = 0.312; p = 0.0007). Urban location and sex had strong interaction effects on the genetic association of most of the studied loci with lipid traits. To conclude, we validated four genetic variants (identified by GWAS in western populations) associated with lipid traits in the Indian population. The interaction effects found here may explain the sex-specific differences in lipid levels and their heritability. Urbanization appears to influence the nature of the association with GWAS lipid loci in this population. However, these findings will require replication in other Indian populations. |
doi_str_mv | 10.1371/journal.pone.0101688 |
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However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabolic disorders. We present the association of six single nucleotide polymorphisms in 1671 sib pairs (3342 subjects) with four lipid traits: total cholesterol, triglycerides, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). We also investigated the interaction effects of gender, location, fat intake and physical activity. Each copy of the risk allele of rs964184 at APOA1 was associated with 1.06 mmol/l increase in triglycerides (SE = 0.049; p = 0.006), rs3764261 at CETP with 1.02 mmol/l increase in both total cholesterol (SE = 0.042; p = 0.017) and HDL-C (SE = 0.041; p = 0.008), rs646776 at CELSR2-PSRC1-SORT1 with 0.96 mmol/l decrease in cholesterol (SE = 0.043; p = 0.0003) and 0.15 mmol/l decrease in LDL-C levels (SE = 0.043; p = 0.0003) and rs2954029 at TRIB1 with 1.02 mmol/l increase in HDL-C (SE = 0.039; p = 0.047). A combined risk score of APOA1 and CETP loci predicted an increase of 1.25 mmol/l in HDL-C level (SE = 0.312; p = 0.0007). Urban location and sex had strong interaction effects on the genetic association of most of the studied loci with lipid traits. To conclude, we validated four genetic variants (identified by GWAS in western populations) associated with lipid traits in the Indian population. The interaction effects found here may explain the sex-specific differences in lipid levels and their heritability. Urbanization appears to influence the nature of the association with GWAS lipid loci in this population. However, these findings will require replication in other Indian populations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0101688</identifier><identifier>PMID: 24991929</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Biology and Life Sciences ; Cardiovascular disease ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Chromosomes ; Chronic illnesses ; Exercise ; Female ; Gender ; Genetic diversity ; Genetic variance ; Genome-Wide Association Study - methods ; Genomes ; Genomics ; Heritability ; High density lipoprotein ; Humans ; India - ethnology ; Lipid Metabolism ; Lipids ; Loci ; Low density lipoprotein ; Low density lipoproteins ; Male ; Middle Aged ; Physical activity ; Polymorphism, Single Nucleotide ; Population studies ; Populations ; Quantitative genetics ; Quantitative Trait Loci ; Sex ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Strong interactions (field theory) ; Triglycerides ; Triglycerides - blood ; Urban areas ; Urban Population ; Urbanization ; Whites - genetics ; Young Adult</subject><ispartof>PloS one, 2014-07, Vol.9 (7), p.e101688-e101688</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Walia et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Walia et al 2014 Walia et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-18d017970a2d884443dbd4ea1291f40b964064f22376a860bcc49f87d6a357e83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1542869634/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1542869634?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24991929$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Prokunina-Olsson, Ludmila</contributor><creatorcontrib>Walia, Gagandeep Kaur</creatorcontrib><creatorcontrib>Gupta, Vipin</creatorcontrib><creatorcontrib>Aggarwal, Aastha</creatorcontrib><creatorcontrib>Asghar, Mohammad</creatorcontrib><creatorcontrib>Dudbridge, Frank</creatorcontrib><creatorcontrib>Timpson, Nicholas</creatorcontrib><creatorcontrib>Singh, Nongmaithem Suraj</creatorcontrib><creatorcontrib>Kumar, M Ravi</creatorcontrib><creatorcontrib>Kinra, Sanjay</creatorcontrib><creatorcontrib>Prabhakaran, Dorairaj</creatorcontrib><creatorcontrib>Reddy, K Srinath</creatorcontrib><creatorcontrib>Chandak, Giriraj Ratan</creatorcontrib><creatorcontrib>Smith, George Davey</creatorcontrib><creatorcontrib>Ebrahim, Shah</creatorcontrib><title>Association of common genetic variants with lipid traits in the Indian population</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Genome-wide association studies (GWAS) have been instrumental in identifying novel genetic variants associated with altered plasma lipid levels. However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabolic disorders. We present the association of six single nucleotide polymorphisms in 1671 sib pairs (3342 subjects) with four lipid traits: total cholesterol, triglycerides, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). We also investigated the interaction effects of gender, location, fat intake and physical activity. Each copy of the risk allele of rs964184 at APOA1 was associated with 1.06 mmol/l increase in triglycerides (SE = 0.049; p = 0.006), rs3764261 at CETP with 1.02 mmol/l increase in both total cholesterol (SE = 0.042; p = 0.017) and HDL-C (SE = 0.041; p = 0.008), rs646776 at CELSR2-PSRC1-SORT1 with 0.96 mmol/l decrease in cholesterol (SE = 0.043; p = 0.0003) and 0.15 mmol/l decrease in LDL-C levels (SE = 0.043; p = 0.0003) and rs2954029 at TRIB1 with 1.02 mmol/l increase in HDL-C (SE = 0.039; p = 0.047). A combined risk score of APOA1 and CETP loci predicted an increase of 1.25 mmol/l in HDL-C level (SE = 0.312; p = 0.0007). Urban location and sex had strong interaction effects on the genetic association of most of the studied loci with lipid traits. To conclude, we validated four genetic variants (identified by GWAS in western populations) associated with lipid traits in the Indian population. The interaction effects found here may explain the sex-specific differences in lipid levels and their heritability. Urbanization appears to influence the nature of the association with GWAS lipid loci in this population. However, these findings will require replication in other Indian populations.</description><subject>Adult</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Chromosomes</subject><subject>Chronic illnesses</subject><subject>Exercise</subject><subject>Female</subject><subject>Gender</subject><subject>Genetic diversity</subject><subject>Genetic variance</subject><subject>Genome-Wide Association Study - methods</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Heritability</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>India - ethnology</subject><subject>Lipid Metabolism</subject><subject>Lipids</subject><subject>Loci</subject><subject>Low density lipoprotein</subject><subject>Low density lipoproteins</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Physical activity</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population studies</subject><subject>Populations</subject><subject>Quantitative genetics</subject><subject>Quantitative Trait Loci</subject><subject>Sex</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Strong interactions (field theory)</subject><subject>Triglycerides</subject><subject>Triglycerides - blood</subject><subject>Urban areas</subject><subject>Urban Population</subject><subject>Urbanization</subject><subject>Whites - genetics</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkluLGyEUx4fS0r2036C0A4XSPiT1FkdfCmHpJbCw9PoqRp3E4Ojs6Gy3375OMrtkyj4UH5Tj7_yP5_gvihcQzCGu4Ptd6Dsv3bwN3swBBJAy9qg4hRyjGUUAPz46nxRnMe4AWGBG6dPiBBHOIUf8tPi6jDEoK5MNvgx1qULT5NPGeJOsKm9kZ6VPsfxt07Z0trW6TJ20OWJ9mbamXHmdibINbe_2Ks-KJ7V00Twf9_Pi56ePPy6-zC6vPq8ulpczRTlKM8g0gBWvgESaMUII1mtNjISIw5qANacEUFIjhCsqGQVrpQivWaWpxIvKMHxevDroti5EMU4jCrggiFFOMcnE6kDoIHei7Wwjuz8iSCv2gdBthOxyl84IRQ2mawKxphXReFCQteGAIyYBhyZrfRir9evGaGV8HoObiE5vvN2KTbgRBDBICc8Cb0eBLlz3JibR2KiMc9Kb0O_fjSmDgC0y-vof9OHuRmojcwPW1yHXVYOoWBKYGVYxkKn5A1Re2jRWZevUNscnCe8mCZlJ5jZtZB-jWH3_9v_s1a8p--aI3Rrp0jYG1w-WiVOQHEDVhRg7U98PGQIxOP9uGmJwvhidn9NeHn_QfdKd1fFf3PH8pw</recordid><startdate>20140703</startdate><enddate>20140703</enddate><creator>Walia, Gagandeep Kaur</creator><creator>Gupta, Vipin</creator><creator>Aggarwal, Aastha</creator><creator>Asghar, Mohammad</creator><creator>Dudbridge, Frank</creator><creator>Timpson, Nicholas</creator><creator>Singh, Nongmaithem Suraj</creator><creator>Kumar, M Ravi</creator><creator>Kinra, Sanjay</creator><creator>Prabhakaran, Dorairaj</creator><creator>Reddy, K Srinath</creator><creator>Chandak, Giriraj Ratan</creator><creator>Smith, George Davey</creator><creator>Ebrahim, Shah</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140703</creationdate><title>Association of common genetic variants with lipid traits in the Indian population</title><author>Walia, Gagandeep Kaur ; Gupta, Vipin ; Aggarwal, Aastha ; Asghar, Mohammad ; Dudbridge, Frank ; Timpson, Nicholas ; Singh, Nongmaithem Suraj ; Kumar, M Ravi ; Kinra, Sanjay ; Prabhakaran, Dorairaj ; Reddy, K Srinath ; Chandak, Giriraj Ratan ; Smith, George Davey ; Ebrahim, Shah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-18d017970a2d884443dbd4ea1291f40b964064f22376a860bcc49f87d6a357e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Biology and Life Sciences</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Walia, Gagandeep Kaur</au><au>Gupta, Vipin</au><au>Aggarwal, Aastha</au><au>Asghar, Mohammad</au><au>Dudbridge, Frank</au><au>Timpson, Nicholas</au><au>Singh, Nongmaithem Suraj</au><au>Kumar, M Ravi</au><au>Kinra, Sanjay</au><au>Prabhakaran, Dorairaj</au><au>Reddy, K Srinath</au><au>Chandak, Giriraj Ratan</au><au>Smith, George Davey</au><au>Ebrahim, Shah</au><au>Prokunina-Olsson, Ludmila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of common genetic variants with lipid traits in the Indian population</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-07-03</date><risdate>2014</risdate><volume>9</volume><issue>7</issue><spage>e101688</spage><epage>e101688</epage><pages>e101688-e101688</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Genome-wide association studies (GWAS) have been instrumental in identifying novel genetic variants associated with altered plasma lipid levels. However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabolic disorders. We present the association of six single nucleotide polymorphisms in 1671 sib pairs (3342 subjects) with four lipid traits: total cholesterol, triglycerides, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). We also investigated the interaction effects of gender, location, fat intake and physical activity. Each copy of the risk allele of rs964184 at APOA1 was associated with 1.06 mmol/l increase in triglycerides (SE = 0.049; p = 0.006), rs3764261 at CETP with 1.02 mmol/l increase in both total cholesterol (SE = 0.042; p = 0.017) and HDL-C (SE = 0.041; p = 0.008), rs646776 at CELSR2-PSRC1-SORT1 with 0.96 mmol/l decrease in cholesterol (SE = 0.043; p = 0.0003) and 0.15 mmol/l decrease in LDL-C levels (SE = 0.043; p = 0.0003) and rs2954029 at TRIB1 with 1.02 mmol/l increase in HDL-C (SE = 0.039; p = 0.047). A combined risk score of APOA1 and CETP loci predicted an increase of 1.25 mmol/l in HDL-C level (SE = 0.312; p = 0.0007). Urban location and sex had strong interaction effects on the genetic association of most of the studied loci with lipid traits. To conclude, we validated four genetic variants (identified by GWAS in western populations) associated with lipid traits in the Indian population. The interaction effects found here may explain the sex-specific differences in lipid levels and their heritability. Urbanization appears to influence the nature of the association with GWAS lipid loci in this population. However, these findings will require replication in other Indian populations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24991929</pmid><doi>10.1371/journal.pone.0101688</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-07, Vol.9 (7), p.e101688-e101688 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1542869634 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central(OpenAccess) |
subjects | Adult Biology and Life Sciences Cardiovascular disease Cholesterol Cholesterol, HDL - blood Cholesterol, LDL - blood Chromosomes Chronic illnesses Exercise Female Gender Genetic diversity Genetic variance Genome-Wide Association Study - methods Genomes Genomics Heritability High density lipoprotein Humans India - ethnology Lipid Metabolism Lipids Loci Low density lipoprotein Low density lipoproteins Male Middle Aged Physical activity Polymorphism, Single Nucleotide Population studies Populations Quantitative genetics Quantitative Trait Loci Sex Single nucleotide polymorphisms Single-nucleotide polymorphism Strong interactions (field theory) Triglycerides Triglycerides - blood Urban areas Urban Population Urbanization Whites - genetics Young Adult |
title | Association of common genetic variants with lipid traits in the Indian population |
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