Evidence map›Paper›PMID 19793051›Full record

ReviewClinical genetics2009

Recent advances of genetic ancestry testing in biomedical research and direct to consumer testing.

M Via, E Ziv, E G Burchard

Open access · greenAbstract readReview
In one paragraph

Review in Clinical genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Impacts of personal DNA ancestry testing.Journal of community genetics · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Paternity testing under the cloak of recreational genetics.European journal of human genetics : EJHG · 2017
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Direct-to-consumer personalized genomic testing.Human molecular genetics · 2011
    Review
  19. 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.

M ViaInstitute for Human Genetics, University of California, San Francisco, CA 94143-2911, USA. marc.viagarcia@ucsf.edu
E Ziv
E G Burchard
Institute of Human Genetics · PLU-M Rogel Cancer CenterUniversity of California, San Francisco · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle · 2008 to 2026
$41.1M
Gene-environments and Admixture in Latino Asthmatics (GALA 2)R01ES015794 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2008 to 2012
$5.4M
Whole Genome Analyses for Asthma in Latino PopulationsR01HL088133 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2008 to 2012
$3.8M
Admixture Mapping for Breast Cancer in LatinasR01CA120120 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2007 to 2011
$2.8M
Case-control Association Studies and Genetic ConfoundingR01HL078885 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2005 to 2009
$1.9M
NCI NIH HHS CA120120NCI NIH HHS R01 CA120120NHLBI NIH HHS HL078885NHLBI NIH HHS HL088133NHLBI NIH HHS R01 HL078885NHLBI NIH HHS R01 HL088133NIAID NIH HHS AI077439NIAID NIH HHS U19 AI077439NIA NIH HHS AG23122NIA NIH HHS U19 AG023122NIEHS NIH HHS R01 ES015794NIMHD NIH HHS L32 MD000659
6 · The paper itself

Abstract

In the post-Human Genome Project era, the debate on the concept of race/ethnicity and its implications for biomedical research are dependent on two critical issues: whether and how to classify individuals and whether biological factors play a role in health disparities. The advent of reliable estimates of genetic (or biogeographic) ancestry has provided this debate with a quantitative and more objective tool. The estimation of genetic ancestry allows investigators to control for population stratification in association studies and helps to detect biological causation behind population-specific differences in disease and drug response. New techniques such as admixture mapping can specifically detect population-specific risk alleles for a disease in admixed populations. However, researchers have to be mindful of the correlation between genetic ancestry and socioeconomic and environmental factors that could underlie these differences. More importantly, researchers must avoid the stigmatization of individuals based on perceived or real genetic risks. The latter point will become increasingly sensitive as several 'for profit companies' are offering ancestry and genetic testing directly to consumers and the consequences of the spread of the services of these companies are still unforeseeable.

Indexed as

Consumer Health InformationPedigreeDiseaseGenetic Predisposition to DiseaseGenetics, MedicalGenetics, PopulationGenetic TestingHumans

Identifiers

PMID19793051
PMCPMC2857388
OpenAlexW1995935928

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.