A high-resolution recombination map of the human genome
By A. Kong, Daniel Fannar Gudbjartsson, J. Sainz, G. Jónsdóttir, S. A. Gudjonsson, Bjorgvin Richardsson, Sigrun Sigurdardóttir, J. Barnard, B. Hallbeck, G. Másson and 6 more. Nature Genetics, 2002
1,832 citations recorded by the source corpus.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/b6c384f2f6087eacfdebd87fc4a27db454940940
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In Molecular Biology
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In Plant Science
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Citations in the corpus
- The evolution of molecular markers — just a matter of fashion? (2004, background): “In human genetics, the development of microsatellite technology was a key step towards the subsequent positional cloning of numerous monogenic human disease genes (see, for example, Ref”
- A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness (2014, background): “18 Morgans for males and females respectively [37].”
- Detection of sharing by descent, long-range phasing and haplotype imputation (2008, background): “Genetically, the target region is approximately 6 cM (ref”
- Genome-Wide Inference of Ancestral Recombination Graphs (2013, background): “Most current estimates of average rates would place the true value of m=r for human populations between 1 and 2 [55–57], but the concentration of recombination events in hot spots implies that the ratio should be considerably more favorable for our methods across most of the genome.”
- Widespread Genomic Signatures of Natural Selection in Hominid Evolution (2009, methodology): “Classifying conserved segments as coding or noncoding rather than exonic or non-exonic, or using the deCODE [26] instead of a finescale recombination map [25], gave somewhat lower likelihoods in our preliminary analyses (data not shown).”
- Family-based association tests for genomewide association scans. (2007, methodology): “from physical maps, by use of the approximation .(23,24) 1 cM ≈ 1 Mb”
- A Map of Recent Positive Selection in the Human Genome (2006, background): “Over large scales it is also highly correlated with the deCODE genetic map [55].”