Evidence map›Paper›PMID 21734403›Full record

ArticleHuman heredity2011

Coordinated conditional simulation with SLINK and SUP of many markers linked or associated to a trait in large pedigrees.

Alejandro A Schäffer, Mathieu Lemire, Jürg Ott, G Mark Lathrop, Daniel E Weeks

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alejandro A SchäfferNational Center for Biotechnology Information, National Institutes of Health, DHHS, Bethesda 20894, MD, USA. schaffer @ helix.nih.gov
Mathieu Lemire
Jürg Ott
G Mark Lathrop
Daniel E Weeks

Funding

Case Studies In GeneticsZIALM000097 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SCHAFFER, ALEJANDRO A · 2009 to 2019
$4.6M
6 · The paper itself

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.

Indexed as

SoftwareAlgorithmsComputational BiologyComputer SimulationFemaleFounder EffectGenetic LinkageGenetic Predisposition to DiseaseGenotypeHaplotypesHumansMalePedigreePolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID21734403
PMCPMC3136384

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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.