Evidence map›Paper›PMID 22497479›Full record

ArticleAnnals of human genetics2012

Effect of population stratification on false positive rates of population-based association analyses of quantitative traits.

Tanushree Haldar, Saurabh Ghosh

Abstract read
In one paragraph

Article in Annals of human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Trade-offs of Linear Mixed Models in Genome-Wide Association Studies.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Genetics of Smoking Behaviors in American Indians.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Tanushree HaldarHuman Genetics Unit, Indian Statistical Institute, Kolkata, India.
Saurabh Ghosh

Funding

STATISTICAL METHODS FOR MAPPING MULTIVARIATE PHENOTYPESR01TW006604 · FIC · INDIAN STATISTICAL INSTITUTE · PI GHOSH, SAURABH · 2003 to 2007
$266k
FIC NIH HHS R01 TW006604
6 · The paper itself

Abstract

It is now well established that population stratification can result in spurious association findings in genetic case-control studies. However, very few studies have addressed similar issues for mapping quantitative traits. Because quantitative phenotypes are often precursors of clinical endpoint traits and carry more information on within-genotype trait variability, it has been argued that studying these quantitative traits may be a more powerful strategy to map genes than the binary clinical endpoints. Thus, it is of interest to evaluate the adverse effects of population stratification on the analyses of quantitative traits. The popular statistical tests of association for quantitative traits using population level data are ANOVA, linear regression with an additive allelic effect and Kruskal-Wallis. We have theoretically studied the marginal effects of genetic heterogeneity and phenotypic heterogeneity as well as their joint effects on the false positive rates of these three tests. We have carried out extensive simulations under different genetic models and probability distributions of quantitative traits to assess the rate of false positives in the presence of population stratification. We find that the rate of false positives increases very quickly with simultaneous increase in differences in the standardized phenotypic means and marker allele frequencies in the subpopulations.

Indexed as

DemographyGenetic Association StudiesQuantitative Trait, HeritableAllelesFalse Positive ReactionsGenetic HeterogeneityHumansModels, StatisticalPhenotype

Identifiers

PMID22497479
PMCPMC3334349

What OpenQuestion holds

Textmetadata
LicenceTDM
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.