Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

By R. Saxena, Benjamin F. Voight, V. Lyssenko, N. Burtt, P. D. de Bakker, Hong Chen, J. Roix, Sekar Kathiresan, Joel Hirschhorn, Mark J. Daly and 57 more. Science, 2007

2,928 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b380df428e73a4f5f38bf93aac769761bdfd9aa5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. John P. A. Ioannidis
2. Gonçalo R. Abecasis
3. Cristen J. Willer
4. Yun Li
5. Mark J. Daly
6. David Altshuler
7. Serena Sanna
8. Eric E. Schadt

In Molecular Biology

1. Eric E. Schadt
2. John P. A. Ioannidis
3. Cristen J. Willer
4. Yun Li
5. Serena Sanna
6. Gonçalo R. Abecasis
7. Aldons J. Lusis
8. Itsik Pe'er

Citations in the corpus

• Replication in genome-wide association studies (2009, methodology): “The advent of GWA scans was met by prepublication data sharing between three large-scale studies, the WTCCC, DGI and FUSION scans [56, 57, 59, 73], leading to the formation of the DIAGRAM Consortium (Diabetes Genetics Replication and Meta-analysis).”
• Mapping the Genetic Architecture of Gene Expression in Human Liver (2008, background): “Given the strong association between plasma LDL cholesterol levels and the expression of Psrc1 , Sort1 , and Celsr2 expression in the BXH/wt cross, we examined a recent GWAS available in the public domain in which LDL cholesterol levels were monitored [35].”