Evidence map›Paper›PMID 19191270›Full record

ArticleGenetic epidemiology2009

Replication of genetic associations as pseudoreplication due to shared genealogy.

Noah A Rosenberg, Jenna M Vanliere

Abstract read
In one paragraph

Article in Genetic epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Role ofCurrent medicinal chemistry · 2025
    Review
  2. Association Study of theOpen access Macedonian journal of medical sciences · 2018
    Article
  3. Article
  4. Article
  5. Review
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

2 authors.

Noah A RosenbergDepartment of Human Genetics, Center for Computational Medicine and Biology, and the Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109-2218, USA. rnoah@umich.edu
Jenna M Vanliere

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Population-Genetic Studies for Association MappingR01GM081441 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSENBERG, NOAH · 2007 to 2011
$1.7M
Computational Statistic Approaches to Gene-Environment InteractionR01HL090564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZOELLNER, SEBASTIAN · 2007 to 2009
$1.1M
NHGRI NIH HHS T32 HG000040NHGRI NIH HHS T32 HG00040NHLBI NIH HHS R01 HL090564NIGMS NIH HHS R01 GM081441
6 · The paper itself

Abstract

The genotypes of individuals in replicate genetic association studies have some level of correlation due to shared descent in the complete pedigree of all living humans. As a result of this genealogical sharing, replicate studies that search for genotype-phenotype associations using linkage disequilibrium between marker loci and disease-susceptibility loci can be considered as "pseudoreplicates" rather than true replicates. We examine the size of the pseudoreplication effect in association studies simulated from evolutionary models of the history of a population, evaluating the excess probability that both of a pair of studies detect a disease association compared to the probability expected under the assumption that the two studies are independent. Each of nine combinations of a demographic model and a penetrance model leads to a detectable pseudoreplication effect, suggesting that the degree of support that can be attributed to a replicated genetic association result is less than that which can be attributed to a replicated result in a context of true independence.

Indexed as

DNA ReplicationGenealogy and HeraldryDiploidyDNAEvolution, MolecularGenetic MarkersHumansModels, GeneticRecombination, GeneticDNAGenetic Markers

Identifiers

PMID19191270
PMCPMC2766236

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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.