Guidelines for genotyping in genomewide linkage studies: single-nucleotide-polymorphism maps versus microsatellite maps
- PMID: 15311375
- PMCID: PMC1182056
- DOI: 10.1086/424696
Guidelines for genotyping in genomewide linkage studies: single-nucleotide-polymorphism maps versus microsatellite maps
Abstract
Genomewide linkage scans have traditionally employed panels of microsatellite markers spaced at intervals of approximately 10 cM across the genome. However, there is a growing realization that a map of closely spaced single-nucleotide polymorphisms (SNPs) may offer equal or superior power to detect linkage, compared with low-density microsatellite maps. We performed a series of simulations to calculate the information content associated with microsatellite and SNP maps across a range of different marker densities and heterozygosities for sib pairs (with and without parental genotypes), sib trios, and sib quads. In the case of microsatellite markers, we varied density across 11 levels (1 marker every 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10 cM) and marker heterozygosity across 6 levels (2, 3, 4, 5, 10, or 20 equally frequent alleles), whereas, in the case of SNPs, we varied marker density across 4 levels (1 marker every 0.1, 0.2, 0.5, or 1 cM) and minor-allele frequency across 7 levels (0.5, 0.4, 0.3, 0.2, 0.1, 0.05, and 0.01). When parental genotypes were available, a map consisting of microsatellites spaced every 2 cM or a relatively sparse map of SNPs (i.e., at least 1 SNP/cM) was sufficient to extract most of the inheritance information from the map (>95% in most cases). However, when parental genotypes were unavailable, it was important to use as dense a map of markers as possible to extract the greatest amount of inheritance information. It is important to note that the information content associated with a traditional map of microsatellite markers (i.e., 1 marker every ~10 cM) was significantly lower than the information content associated with a dense map of SNPs or microsatellites. These results strongly suggest that previous linkage studies that employed sparse microsatellite maps could benefit substantially from reanalysis by use of a denser map of markers.
Figures


Similar articles
-
Comparison of microsatellites, single-nucleotide polymorphisms (SNPs) and composite markers derived from SNPs in linkage analysis.BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S29. doi: 10.1186/1471-2156-6-S1-S29. BMC Genet. 2005. PMID: 16451638 Free PMC article.
-
The use of a genetic map of biallelic markers in linkage studies.Nat Genet. 1997 Sep;17(1):21-4. doi: 10.1038/ng0997-21. Nat Genet. 1997. PMID: 9288093
-
Linkage analysis of the GAW14 simulated dataset with microsatellite and single-nucleotide polymorphism markers in large pedigrees.BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S14. doi: 10.1186/1471-2156-6-S1-S14. BMC Genet. 2005. PMID: 16451599 Free PMC article.
-
Microsatellites as Molecular Markers with Applications in Exploitation and Conservation of Aquatic Animal Populations.Genes (Basel). 2023 Mar 27;14(4):808. doi: 10.3390/genes14040808. Genes (Basel). 2023. PMID: 37107566 Free PMC article. Review.
-
Cis- and Trans-Modifiers of Repeat Expansions: Blending Model Systems with Human Genetics.Trends Genet. 2018 Jun;34(6):448-465. doi: 10.1016/j.tig.2018.02.005. Epub 2018 Mar 19. Trends Genet. 2018. PMID: 29567336 Free PMC article. Review.
Cited by
-
Comparing single-nucleotide polymorphism marker-based and microsatellite marker-based linkage analyses.BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S13. doi: 10.1186/1471-2156-6-S1-S13. BMC Genet. 2005. PMID: 16451588 Free PMC article.
-
Risk of nasopharyngeal carcinoma associated with polymorphic lactotransferrin haplotypes.Med Oncol. 2012 Sep;29(3):1456-62. doi: 10.1007/s12032-011-0079-6. Epub 2011 Oct 20. Med Oncol. 2012. PMID: 22011934
-
SNP HiTLink: a high-throughput linkage analysis system employing dense SNP data.BMC Bioinformatics. 2009 Apr 24;10:121. doi: 10.1186/1471-2105-10-121. BMC Bioinformatics. 2009. PMID: 19393044 Free PMC article.
-
Comparison of microsatellites versus single-nucleotide polymorphisms in a genome linkage screen for prostate cancer-susceptibility Loci.Am J Hum Genet. 2004 Dec;75(6):948-65. doi: 10.1086/425870. Epub 2004 Oct 8. Am J Hum Genet. 2004. PMID: 15514889 Free PMC article.
-
Genomewide linkage scan for opioid dependence and related traits.Am J Hum Genet. 2006 May;78(5):759-769. doi: 10.1086/503631. Epub 2006 Mar 16. Am J Hum Genet. 2006. PMID: 16642432 Free PMC article.
References
-
- Abecasis GR, Cherny SS, Cardon LR (2001) The impact of genotyping error on family-based analysis of quantitative traits. Eur J Hum Genet 9:130–134 - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources