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Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci

Overview of attention for article published in Nature Genetics, August 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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4 news outlets
blogs
1 blog
twitter
4 X users

Citations

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469 Dimensions

Readers on

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356 Mendeley
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7 CiteULike
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Title
Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci
Published in
Nature Genetics, August 2011
DOI 10.1038/ng.921
Pubmed ID
Authors

Jaspal S Kooner, Danish Saleheen, Xueling Sim, Joban Sehmi, Weihua Zhang, Philippe Frossard, Latonya F Been, Kee-Seng Chia, Antigone S Dimas, Neelam Hassanali, Tazeen Jafar, Jeremy B M Jowett, Xinzhong Li, Venkatesan Radha, Simon D Rees, Fumihiko Takeuchi, Robin Young, Tin Aung, Abdul Basit, Manickam Chidambaram, Debashish Das, Elin Grundberg, Åsa K Hedman, Zafar I Hydrie, Muhammed Islam, Chiea-Chuen Khor, Sudhir Kowlessur, Malene M Kristensen, Samuel Liju, Wei-Yen Lim, David R Matthews, Jianjun Liu, Andrew P Morris, Alexandra C Nica, Janani M Pinidiyapathirage, Inga Prokopenko, Asif Rasheed, Maria Samuel, Nabi Shah, A Samad Shera, Kerrin S Small, Chen Suo, Ananda R Wickremasinghe, Tien Yin Wong, Mingyu Yang, Fan Zhang, Goncalo R Abecasis, Anthony H Barnett, Mark Caulfield, Panos Deloukas, Timothy M Frayling, Philippe Froguel, Norihiro Kato, Prasad Katulanda, M Ann Kelly, Junbin Liang, Viswanathan Mohan, Dharambir K Sanghera, James Scott, Mark Seielstad, Paul Z Zimmet, Paul Elliott, Yik Ying Teo, Mark I McCarthy, John Danesh, E Shyong Tai, John C Chambers

Abstract

We carried out a genome-wide association study of type-2 diabetes (T2D) in individuals of South Asian ancestry. Our discovery set included 5,561 individuals with T2D (cases) and 14,458 controls drawn from studies in London, Pakistan and Singapore. We identified 20 independent SNPs associated with T2D at P < 10(-4) for testing in a replication sample of 13,170 cases and 25,398 controls, also all of South Asian ancestry. In the combined analysis, we identified common genetic variants at six loci (GRB14, ST6GAL1, VPS26A, HMG20A, AP3S2 and HNF4A) newly associated with T2D (P = 4.1 × 10(-8) to P = 1.9 × 10(-11)). SNPs at GRB14 were also associated with insulin sensitivity (P = 5.0 × 10(-4)), and SNPs at ST6GAL1 and HNF4A were also associated with pancreatic beta-cell function (P = 0.02 and P = 0.001, respectively). Our findings provide additional insight into mechanisms underlying T2D and show the potential for new discovery from genetic association studies in South Asians, a population with increased susceptibility to T2D.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 6 2%
Hong Kong 2 <1%
India 2 <1%
Italy 1 <1%
Brazil 1 <1%
Sweden 1 <1%
France 1 <1%
Switzerland 1 <1%
Other 7 2%
Unknown 328 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 23%
Researcher 71 20%
Student > Bachelor 25 7%
Student > Master 22 6%
Professor > Associate Professor 18 5%
Other 79 22%
Unknown 58 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 26%
Medicine and Dentistry 75 21%
Biochemistry, Genetics and Molecular Biology 66 19%
Social Sciences 7 2%
Engineering 7 2%
Other 40 11%
Unknown 69 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2022.
All research outputs
#837,149
of 24,041,016 outputs
Outputs from Nature Genetics
#1,516
of 7,359 outputs
Outputs of similar age
#3,298
of 126,718 outputs
Outputs of similar age from Nature Genetics
#6
of 76 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.1. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 126,718 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.