Evidence map›Paper›PMID 16224189›Full record

ArticleHuman heredity2005

SimPed: a simulation program to generate haplotype and genotype data for pedigree structures.

Suzanne M Leal, Kai Yan, Bertram Müller-Myhsok

Open access · bronzeAbstract read
In one paragraph

Article in Human heredity, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

28 citing papers in PubMed, 69 citations in OpenAlex.

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  5. An Efficient Test for Gene-Environment Interaction in Generalized Linear Mixed Models with Family Data.International journal of environmental research and public health · 2017
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  20. GABRG1 and GABRA2 as independent predictors for alcoholism in two populations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2009
    Article
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

3 authors at 3 institutions in 2 countries.

Suzanne M LealDepartment of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, N1619.01, Houston, TX 77025, USA. sleal@bcm.tmc.edu
Kai Yan
Bertram Müller-Myhsok
Baylor College of Medicine · USBaylor Genetics · USMax Planck Institute of Psychiatry · DE

Funding

Identification of Nonsyndromic Hearing Impairment GenesR01DC003594 · NIDCD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE M LEAL · 2004 to 2026
$7.7M
PHENOTYPES AND GENETIC ANALYSIS OF COMPLEX TRAITSR13MH059864 · NIMH · ROCKEFELLER UNIVERSITY · PI LEAL, SUZANNE MARGARET · 1999 to 1999
–
NIDCD NIH HHS R01 DC003594NIDCD NIH HHS R01 DC 03594NIMH NIH HHS R13 MH059864
6 · The paper itself

Abstract

With the widespread availability of SNP genotype data, there is great interest in analyzing pedigree haplotype data. Intermarker linkage disequilibrium for microsatellite markers is usually low due to their physical distance; however, for dense maps of SNP markers, there can be strong linkage disequilibrium between marker loci. Linkage analysis (parametric and nonparametric) and family-based association studies are currently being carried out using dense maps of SNP marker loci. Monte Carlo methods are often used for both linkage and association studies; however, to date there are no programs available which can generate haplotype and/or genotype data consisting of a large number of loci for pedigree structures. SimPed is a program that quickly generates haplotype and/or genotype data for pedigrees of virtually any size and complexity. Marker data either in linkage disequilibrium or equilibrium can be generated for greater than 20,000 diallelic or multiallelic marker loci. Haplotypes and/or genotypes are generated for pedigree structures using specified genetic map distances and haplotype and/or allele frequencies. The simulated data generated by SimPed is useful for a variety of purposes, including evaluating methods that estimate haplotype frequencies for pedigree data, evaluating type I error due to intermarker linkage disequilibrium and estimating empirical p values for linkage and family-based association studies.

Indexed as

Computer SimulationGenotypePedigreeHaplotypesHumansSoftware

Identifiers

PMID16224189
PMCPMC2909095
OpenAlexW2005479477

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.