Evidence map›Paper›PMID 16080207›Full record

ArticleGenetic epidemiology2005

Detection of genotyping errors and pseudo-SNPs via deviations from Hardy-Weinberg equilibrium.

Suzanne M Leal

Abstract read
In one paragraph

Article in Genetic epidemiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Bioscience reports · 2018
    Pooled it
  2. Pooled it
  3. Trial
  4. International journal of molecular sciences · 2026
    Observational
  5. Article
  6. Genetic Variants ofGenes · 2025
    Article
  7. Review
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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

1 author.

Suzanne M LealDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA. sleal@bcm.tmc.edu

Funding

A Human Haplotype Map by a Highly Multiplexed MethodU54HG002755 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2002 to 2004
$9.2M
Identification of Nonsyndromic Hearing Impairment GenesR01DC003594 · NIDCD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE M LEAL · 2004 to 2026
$7.7M
NHGRI NIH HHS HG02755NHGRI NIH HHS U54 HG002755NIDCD NIH HHS R01 DC003594NIDCD NIH HHS R01-DC03594
6 · The paper itself

Abstract

Genotype error can greatly reduce the power of a genetic study. For family data, genotype error can be assessed by examining marker data for non-Mendelian inconsistencies, closely linked markers for double recombination events, and consistency of duplicate genotypes. For case-control data, duplicate samples are genotyped, and controls are tested for deviations from Hardy-Weinberg equilibrium (HWE). Duplicate samples can provide accurate estimates of genotyping error rates, unless systematic genotyping errors have occurred. Although genotyping errors can cause deviations from HWE, these deviations are usually small, and the power to detect them is low except for high rates of genotyping error and/or large sample sizes. An additional problem is that even when deviations from HWE are detected for marker loci, without additional experimentation it is not possible to unequivocally implicate genotyping error as the cause. The power and sample sizes necessary to detect deviations from HWE for single-nucleotide polymorphism (SNP) data are examined for a variety of genotyping error and pseudo-SNP models. For the majority of genotyping models examined, the power is poor to detect deviations from HWE. For example, for 1,000 controls, if an allele with a frequency of 0.1 fails to amplify for 28% of the heterozygous genotypes producing a sample error rate of 0.05, the power is 0.51 to detect a deviation from HWE at an alpha level of 0.05. On the other hand, the detection of deviations from HWE for pseudo-SNPs (paralogous and ectopic sequence variants) for the majority of models examined produces a power of >0.8 for sample sizes as small as 50 individuals.

Indexed as

GenotypeGene FrequencyHumansLinkage DisequilibriumModels, GeneticModels, StatisticalPolymorphism, Single NucleotideSample Size

Identifiers

PMID16080207
PMCPMC6192426

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.