ArticleHuman heredity2011
Coordinated conditional simulation with SLINK and SUP of many markers linked or associated to a trait in large pedigrees.
Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Linkage analysis of a large African family segregating stuttering suggests polygenic inheritance.Human genetics · 2013Trial
- The effect of HLA genotype on disease onset and severity in CTLA-4 insufficiency.Frontiers in immunology · 2024Article
- Whole Exome/Genome Sequencing Joint Analysis of a Family with Oligogenic Familial Hypercholesterolemia.Metabolites · 2022Article
- Linkage analysis identifies an isolated strabismus locus at 14q12 overlapping with FOXG1 syndrome region.Journal of medical genetics · 2022Article
- COG5 variants lead to complex early onset retinal degeneration, upregulation of PERK and DNA damage.Scientific reports · 2020Article
- OPENMENDEL: a cooperative programming project for statistical genetics.Human genetics · 2020Review
- Family-specific aggregation of lipid GWAS variants confers the susceptibility to familial hypercholesterolemia in a large Austrian family.Atherosclerosis · 2017Article
- Estimation of Trait-Model Parameters in a MOD Score Linkage Analysis.Human heredity · 2016Article
- Linkage analyses in Caribbean Hispanic families identify novel loci associated with familial late-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015Article
- A genome-wide association study for colorectal cancer identifies a risk locus in 14q23.1.Human genetics · 2015Article
- Genetic linkage analysis in the age of whole-genome sequencing.Nature reviews. Genetics · 2015Review
- PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD.BMC bioinformatics · 2014Article
- Mega2: validated data-reformatting for linkage and association analyses.Source code for biology and medicine · 2014Article
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Authors and funding
5 authors.
Funding
Abstract
Simulation of genotypes in pedigrees is an important tool to evaluate the power of a linkage or an association study and to assess the empirical significance of results. SLINK is a widely-used package for pedigree simulations, but its implementation has not previously been described in a published paper. SLINK was initially derived from the LINKAGE programs. Over the 20 years since its release, SLINK has been modified to incorporate faster algorithms, notably from the linkage analysis package FASTLINK, also derived from LINKAGE. While SLINK can simulate genotypes on pedigrees of high complexity, one limitation of SLINK, as with most methods based on peeling algorithms to evaluate pedigree likelihoods, is the small number of linked markers that can be generated. The software package SUP includes an elegant wrapper for SLINK that circumvents the limitation on number of markers by using descent markers generated by SLINK to simulate a much larger number of markers on the same chromosome, linked and possibly associated with a trait locus. We have released new coordinated versions of SLINK (3.0; available from http://watson.hgen.pitt.edu) and SUP (v090804; available from http://mlemire.freeshell.org/software or http://watson.hgen.pitt.edu) that integrate the two software packages. Thereby, we have removed some of the previous limitations on the joint functionality of the programs, such as the number of founders in a pedigree. We review the history of SLINK and describe how SLINK and SUP are now coordinated to permit the simulation of large numbers of markers linked and possibly associated with a trait in large pedigrees.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.