Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

By Eleftheria Zeggini, L. Scott, R. Saxena, Benjamin F. Voight, Jonathan Marchini, T. Hu, P. D. Bakker, Gonçalo R. Abecasis, P. Almgren, G. Andersen and 88 more. Nature Genetics, 2008

1,910 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/32e0267ce83bb139592e93f84f9e414f8980e6ff

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In Cancer Research

1. John P. A. Ioannidis
2. Eric E. Schadt
3. George Davey Smith
4. Eric Boerwinkle
5. P. Ridker
6. I. Graham

In Genetics

1. Gonçalo R. Abecasis
2. Matthew Stephens
3. Jonathan Marchini
4. Mark J. Daly
5. Peter M. Visscher
6. Alkes L Price
7. George Davey Smith
8. John P. A. Ioannidis

In Molecular Biology

1. Dale R. Nyholt
2. Gonçalo R. Abecasis
3. Mark J. Daly
4. David Altshuler
5. Cristen J. Willer
6. Yun Li
7. Yurii S. Aulchenko
8. Serena Sanna

Citations in the corpus

• Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip (2009, methodology): “Genotype imputation methods [21,14] are now being widely used in the analysis of genome-wide association studies [5] and meta-analysis of such studies [22,20].”
• Genetics of type 2 diabetes. (2011, neutral): “drome in Men) study samples (effective sample size, 53 975) (53).”
• Signals of recent positive selection in a worldwide sample of human populations. (2009, background): “…(Crohn’s disease, type I and II diabetes, height, and lipid levels) from published genome-wide association studies (Scott et al. 2007; Todd et al. 2007; Gudbjartsson et al. 2008; Lettre et al. 2008; Unoki et al. 2008; Weedon et al. 2008; Willer et al. 2008; Yasuda et al. 2008; Zeggini et al. 2008).”
• Uncovering the roles of rare variants in common disease through whole-genome sequencing (2010, background): “The table shows type 2 diabetes-associated variants reported by Zeggini et al.22; the maximum odds ratio reported was 1.37. snP Odds ratio snP location rs7903146 1.37 Intron of TCF7L2 rs13071168 1.35 Between SYN2 and PPARG rs7020996 1.26 Near CDKN2A and CDKN2B rs6931514 1.25 Intron of CDKAL1 rs18012”
• Variance component model to account for sample structure in genome-wide association studies (2010, neutral): “Such studies typically combine the test statistics after correcting for potential inflation using genomic contro”
• Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis (2010, methodology): “7 ) are known targets of FURIN cleavage 57 - 59 .”
• Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution (2010, positive): “The signal near ADAMTS9 overlaps a previously-reported T2D locus 39 , and the lead SNP for WHR in our study is identical to the SNP displaying the strongest T2D association in a previous expanded T2D meta-analysis 40 .”
• GWAMA: software for genome-wide association meta-analysis (2010, background): “Such analyses have led to the identification of multiple, now established associations that would not otherwise have been identified in any individual study [2-4].”
• Genotype imputation for genome-wide association studies (2010, background): “If the imputation quality is low at a SNP, it may be wise to filter out such SNPs before association testing is performe”