PLINK: a tool set for whole-genome association and population-based linkage analyses.
By Shaun Purcell, Benjamin M. Neale, K. Todd-Brown, L. Thomas, M. Ferreira, David P Bender, J. Maller, P. Sklar, P. D. de Bakker, Mark J. Daly and 1 more. 2007
32,716 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Matthew Stephens
- Alkes L Price
- Jonathan Marchini
- Gonçalo R. Abecasis
- Sharon R. Browning
- Brian L. Browning
- Peter M. Visscher
- M. Thomson
In Molecular Biology
- Gonçalo R. Abecasis
- Brian L. Browning
- Sharon R. Browning
- Qiang Yang
- Eric Boerwinkle
- Jonathan Marchini
- Alkes L Price
- Paul Scheet
In Computational Biology & Bioinformatics
- Frank Dudbridge
- Matthew Stephens
- Peter M. Visscher
- Qiang Yang
- John Novembre
- Michael E. Goddard
- Edward S. Buckler
- Laurent Excoffier
Citations in the corpus
- Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits (2011, methodology): “Genome wide significant or replicating SNPs were tested in this case-control sample using logistic regression controlling for gender in PLINK [50].”
- Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics (2015, positive): “The 23 tpeds were then merged using plink (Purcell et al., 2007).”
- Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain (2010, methodology): “This regression analysis was performed with Plink [17] to correlate allele dosage with the quantitative trait.”