Evidence map›Paper›PMID 24991929›Full record

ArticlePloS one2014

Association of common genetic variants with lipid traits in the Indian population.

Gagandeep Kaur Walia, Vipin Gupta, Aastha Aggarwal, Mohammad Asghar, Frank Dudbridge, Nicholas Timpson, Nongmaithem Suraj Singh, M Ravi Kumar, Sanjay Kinra, Dorairaj Prabhakaran and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 36 citations in OpenAlex.

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  16. Review
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  18. Fine mapping theNPJ aging and mechanisms of disease · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 2 countries.

Gagandeep Kaur WaliaSouth Asia Network for Chronic Disease (SANCD), Public Health Foundation of India (PHFI), New Delhi, India.
Vipin GuptaDepartment of Anthropology, University of Delhi, Delhi, India.
Aastha AggarwalSouth Asia Network for Chronic Disease (SANCD), Public Health Foundation of India (PHFI), New Delhi, India.
Mohammad AsgharDepartment of Anthropology, Rajiv Gandhi University, Itanagar, Arunachal Pradesh, India.
Frank DudbridgeDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Nicholas TimpsonSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Nongmaithem Suraj SinghCentre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
M Ravi KumarCentre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Sanjay KinraDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, India; Public Health Foundation of India, New Delhi, India.
K Srinath ReddyPublic Health Foundation of India, New Delhi, India.
Giriraj Ratan ChandakCentre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
George Davey SmithSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Shah EbrahimSouth Asia Network for Chronic Disease (SANCD), Public Health Foundation of India (PHFI), New Delhi, India; Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Public Health Foundation of India · INCentre for Cellular and Molecular Biology · INLondon School of Hygiene & Tropical Medicine · GBUniversity of Bristol · GBRajiv Gandhi University · INUniversity of Delhi · IN

Funding

Medical Research Council G0600705Medical Research Council G1000718Wellcome Trust 083541/Z/07/ZWellcome Trust 084674Wellcome Trust 089645/Z/09/ZWellcome Trust GR070797MF
6 · The paper itself

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.

Indexed as

Lipid MetabolismPolymorphism, Single NucleotideQuantitative Trait LociAdultCholesterol, HDLCholesterol, LDLFemaleGenome-Wide Association StudyHumansIndiaMaleMiddle AgedTriglyceridesUrban PopulationWhite PeopleYoung AdultCholesterol, HDLCholesterol, LDLTriglycerides

Identifiers

PMID24991929
PMCPMC4081649
OpenAlexW2064744212

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.