Evidence map›Paper›PMID 30773276›Full record

ArticleAmerican journal of human genetics2019

Genome-wide Significance Thresholds for Admixture Mapping Studies.

Kelsey E Grinde, Lisa A Brown, Alexander P Reiner, Timothy A Thornton, Sharon R Browning

Abstract read
In one paragraph

Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Pooled it
  2. Article
  3. The Landscape of Genomic and Socioeconomic Variables in Patients with Colorectal Cancer Based on Genetic Ancestry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  5. HiFiMAP: High-resolution fast identity-by-descent mapping test.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Admixture mapping identifies complex trait associations with local ancestry in themedRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
    Article
  14. Identity-by-descent segments in large samples.Theoretical population biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. African ancestry-enriched variants in themedRxiv : the preprint server for health sciences · 2025
    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

5 authors.

Kelsey E GrindeDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA. Electronic address: grindek@uw.edu.
Lisa A BrownDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA; Seattle Genetics, Bothell, WA 98021, USA.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Timothy A ThorntonDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.

Funding

SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS N02 HL064278NIA NIH HHS HHSN271201100004CWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

Admixture mapping studies have become more common in recent years, due in part to technological advances and growing international efforts to increase the diversity of genetic studies. However, many open questions remain about appropriate implementation of admixture mapping studies, including how best to control for multiple testing, particularly in the presence of population structure. In this study, we develop a theoretical framework to characterize the correlation of local ancestry and admixture mapping test statistics in admixed populations with contributions from any number of ancestral populations and arbitrary population structure. Based on this framework, we develop an analytical approach for obtaining genome-wide significance thresholds for admixture mapping studies. We validate our approach via analysis of simulated traits with real genotype data for 8,064 unrelated African American and 3,425 Hispanic/Latina women from the Women's Health Initiative SNP Health Association Resource (WHI SHARe). In an application to these WHI SHARe data, our approach yields genome-wide significant p value thresholds of 2.1 × 10

Indexed as

Genetics, PopulationGenome, HumanGenome-Wide Association StudyAgedBlack or African AmericanChromosome MappingComputational BiologyFemaleGenotypeHispanic or LatinoHumansMiddle AgedPhenotypePostmenopauseWhite Peoplefamily-wise error rategenetic admixturegenome-wide associationmultiple testingpopulation structure

Identifiers

PMID30773276
PMCPMC6407497

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.