Evidence map›Paper›PMID 20395969›Full record

ReviewNature reviews. Genetics2010

Genome-wide association studies in diverse populations.

Noah A Rosenberg, Lucy Huang, Ethan M Jewett, Zachary A Szpiech, Ivana Jankovic, Michael Boehnke

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 334 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
334citing papers in PubMed, 13 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

334 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  14. Trial
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  17. Article
  18. Review
  19. Article
  20. The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article

274 more citing papers are in PubMed but not listed here.

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

6 authors.

Noah A RosenbergDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA. rnoah@umich.edu
Lucy Huang
Ethan M Jewett
Zachary A Szpiech
Ivana Jankovic
Michael Boehnke

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
DESIGN AND ANALYSIS OF HUMAN GENE MAPPING STUDIESR01HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 1993 to 2016
$5.5M
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
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
Design and Analysis of Human Gene Mapping StudiesR56HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2017 to 2017
$400k
DESIGN ISSUES IN GENETIC LINKAGE AND SEGREGATION STUDIESR29HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL · 1990 to 1992
–
NHGRI NIH HHS HG000376NHGRI NIH HHS R01 HG000376NHGRI NIH HHS R56 HG000376NHGRI NIH HHS T32 HG000040NHLBI NIH HHS HL090564NHLBI NIH HHS R01 HL090564NIDDK NIH HHS DK062370NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370NIGMS NIH HHS GM081441NIGMS NIH HHS R01 GM081441
6 · The paper itself

Abstract

Genome-wide association (GWA) studies have identified a large number of SNPs associated with disease phenotypes. As most GWA studies have been performed in populations of European descent, this Review examines the issues involved in extending the consideration of GWA studies to diverse worldwide populations. Although challenges exist with issues such as imputation, admixture and replication, investigation of a greater diversity of populations could make substantial contributions to the goal of mapping the genetic determinants of complex diseases for the human population as a whole.

Indexed as

Genome, HumanGenome-Wide Association StudyGenetics, PopulationHumans

Identifiers

PMID20395969
PMCPMC3079573

What Socratic 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 Socratic graph.