Evidence map›Paper›PMID 23162081›Full record

ArticleBioinformatics (Oxford, England)2013

A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees.

Mark Silberstein, Omer Weissbrod, Lars Otten, Anna Tzemach, Andrei Anisenia, Oren Shtark, Dvir Tuberg, Eddie Galfrin, Irena Gannon, Adel Shalata and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Germline variants in HEY2 functional domains lead to congenital heart defects and thoracic aortic aneurysms.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
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  11. Limb girdle muscular disease caused byProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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  15. How to Assess Founder Effect in Patients with Congenital Factor XIII Deficiency.International journal of hematology-oncology and stem cell research · 2020
    Review
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

14 authors.

Mark SilbersteinDepartment of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.
Omer Weissbrod
Lars Otten
Anna Tzemach
Andrei Anisenia
Oren Shtark
Dvir Tuberg
Eddie Galfrin
Irena Gannon
Adel Shalata
Zvi U Borochowitz
Rina Dechter
Elizabeth Thompson
Dan Geiger

Funding

Methods for the Genetic Epidemiology of Complex TraitsR37GM046255 · NIGMS · UNIVERSITY OF WASHINGTON · PI THOMPSON, ELIZABETH ALISON · 2008 to 2017
$4.2M
Efficient software and algorithms for analyzing markers data on general pedigreeR01HG004175 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI DECHTER, RINA · 2007 to 2010
$1.2M
NHGRI NIH HHS 5R01HG004175-03NHGRI NIH HHS R01 HG004175NIGMS NIH HHS R37 GM046255
6 · The paper itself

Abstract

motivationThe use of dense single nucleotide polymorphism (SNP) data in genetic linkage analysis of large pedigrees is impeded by significant technical, methodological and computational challenges. Here we describe Superlink-Online SNP, a new powerful online system that streamlines the linkage analysis of SNP data. It features a fully integrated flexible processing workflow comprising both well-known and novel data analysis tools, including SNP clustering, erroneous data filtering, exact and approximate LOD calculations and maximum-likelihood haplotyping. The system draws its power from thousands of CPUs, performing data analysis tasks orders of magnitude faster than a single computer. By providing an intuitive interface to sophisticated state-of-the-art analysis tools coupled with high computing capacity, Superlink-Online SNP helps geneticists unleash the potential of SNP data for detecting disease genes.

resultsComputations performed by Superlink-Online SNP are automatically parallelized using novel paradigms, and executed on unlimited number of private or public CPUs. One novel service is large-scale approximate Markov Chain-Monte Carlo (MCMC) analysis. The accuracy of the results is reliably estimated by running the same computation on multiple CPUs and evaluating the Gelman-Rubin Score to set aside unreliable results. Another service within the workflow is a novel parallelized exact algorithm for inferring maximum-likelihood haplotyping. The reported system enables genetic analyses that were previously infeasible. We demonstrate the system capabilities through a study of a large complex pedigree affected with metabolic syndrome. AVAILABILITY: Superlink-Online SNP is freely available for researchers at http://cbl-hap.cs.technion.ac.il/superlink-snp. The system source code can also be downloaded from the system website. CONTACT: omerw@cs.technion.ac.il SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Genetic LinkagePedigreePolymorphism, Single NucleotideSoftwareAlgorithmsCluster AnalysisHaplotypesHumansMarkov ChainsMonte Carlo Method

Identifiers

PMID23162081
PMCPMC3546794

What OpenQuestion holds

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Registered trials

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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.