Evidence map›Paper›PMID 18852204›Full record

ReviewHuman molecular genetics2008

Genome-wide association studies: implications for multiethnic samples.

Richard S Cooper, Bamidele Tayo, Xiaofeng Zhu

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 7 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

47 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  4. Implication of European-derived adiposity loci in African Americans.International journal of obesity (2005) · 2012
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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.

Richard S CooperDepartment of Preventive Medicine and Epidemiology, Loyola University Chicago Stritch School of Medicine, 2160 S. First Ave., Maywood, IL 60153, USA. rcooper@lumc.edu
Bamidele Tayo
Xiaofeng Zhu

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
GENETICS OF HYPERTENSION IN BLACKSR01HL053353 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI COOPER, RICHARD STANLEY · 1995 to 2013
$8.3M
Fine Mapping of Hypertension Genes Detected by Admixture Mapping in the FBPPR01HL086718 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI ZHU, XIAOFENG · 2007 to 2011
$3.3M
NHLBI NIH HHS HL086718NHLBI NIH HHS HL53353NIDDK NIH HHS DK075787
6 · The paper itself

Abstract

The current gene mapping for complex diseases is heavily weighted by studies of population samples from northern Europe. To capture the full range of genetic diversity and exploit the potential of genetic epidemiology to identify important variants, multiple additional populations will need to be examined. The conduct of genome-wide association studies will therefore confront many of the challenges identified in the first generation of candidate gene and linkage studies, with a substantial increase in complexity. Initial efforts to map causal effects will have to take account of varying patterns of linkage disequilibrium through careful attention to local haplotype structure. Refined statistical techniques that permit joint analyses of samples from multiple populations will also be required, as well as improved methods to account for on-going gene flow between populations with geographically distinct ancestral origins. This variation can either be an impediment, slowing the process of replication, or an opportunity, allowing finer dissection of the relevant variants. Clinical translation of these data will present major challenges. Large cosmopolitan populations, such as those found in large urban centers, are likely to exhibit both known and cryptic sub-structure across groups, as well as admixture within individuals. Great care will need to be devoted to generalizability of association findings to avoid their premature adoption as predictive tests in the face of this widespread heterogeneity.

Indexed as

Genetics, PopulationGenome-Wide Association StudyChromosome MappingDatabases, GeneticGenetic Predisposition to DiseaseHumans

Identifiers

PMID18852204
PMCPMC2782359

What OpenQuestion holds

Textmetadata
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.