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SIGMAT2D
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a unique resource for biomedical researchers worldwide made available to all through a user-friendly web portal
a unique resource for biomedical researchers worldwide made available to all through a user-friendly web portal

 


SIGMA researchers have built a worldwide resource that contains genetic and health data from SIGMA projects alongside data from many other genetic studies of type 2 diabetes. Scientists can use these data to test hypotheses and investigate potential drug targets.

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GWAS SIGMA

As published in:

Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico.
SIGMA Type 2 Diabetes Consortium, et al.
Nature. 2014 Feb 6;506(7486):97-101. doi: 10.1038/nature12828

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SIGMA exome chip analysis

As published in:

A Loss-Of-Function Splice Acceptor Variant in IGF2 is Protective for Type 2 Diabetes.
Mercader JM, et al.
Diabetes. 2017 Aug 24. pii: db170187. doi: 10.2337/db17-0187

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19K exome sequence analysis: Latinos, SIGMA cohorts

As published in:

Association of a low-frequency variant in HNF1A with type 2 diabetes in a Latino population.
SIGMA Type 2 Diabetes Consortium, et al.
JAMA. 2014 Jun 11;311(22):2305-14. doi: 10.1001/jama.2014.6511

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SIGMA Cohorts

SIGMA's data includes whole exomes from 1,794 type 2 diabetes cases and 1,962 non-diabetic controls (3,756 total), all of Mexican or Latin American descent. Genotyping data from a genome-wide association study is also available for all 3,756 participants in the exome sequencing cohort, as well as 4,458 other research participants, also of Mexican or Latin American descent. The GWAS dataset includes 3,848 type 2 diabetes cases and 4,366 non-diabetic controls (8,214 total). To query these data for information on specific genes, variants, chromosomal regions, or phenotypic associations, click here.


Whole exomes dataset: cohort breakdown
SIGMA exomes summary table
GWAS dataset: cohort breakdown
SIGMA gwas summary table