Evidence map›Paper›PMID 15683584›Full record

ReviewCurrent hypertension reports2005

Admixture mapping as a gene discovery approach for complex human traits and diseases.

Caroline M Nievergelt, Nicholas J Schork

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Caroline M NievergeltPolymorphism Research Laboratory, Department of Psychiatry, University of California at San Diego, 2050 Basic Science Building, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA. cnieverg@ucsd.edu
Nicholas J Schork
University of California, San Diego · US

Funding

Phenotyping--vasoactive post synaptic agonist pharmacogU01HL069758 · NHLBI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI O'CONNOR, DANIEL T · 2001 to 2004
$12.1M
SCOR-MOLECULAR GENTICS OF HYPERTENSIONP50HL054998 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI JACOB, HOWARD J · 1996 to 2005
$8.1M
FAMILY BLOOD PRESSURE PROGRAMU01HL064777 · NHLBI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI SCHORK, NICHOLAS JOSEPH · 2000 to 2004
$1.1M
NHLBI NIH HHS HL54998NHLBI NIH HHS HL64777-01NHLBI NIH HHS HL69758-01NIMH NIH HHS 1 R01 MH06557-01A1
6 · The paper itself

Abstract

Admixture mapping (AM) is a special form of conventional meiotic or recombination mapping for disease gene discovery in humans that exploits naturally occurring genetic and phenotypic differences existing in populations between which recent gene flow has occurred. Essentially, mates from two different "parental" populations with different allelic and disease-predisposing mutation profiles will produce "admixed" offspring whose genomes will be mixtures of the genomes associated with the parental populations. Strong linkage disequilibrium (LD) will exist for several generations between neighboring loci of admixed individuals and can be exploited for identifying the genomic location of trait-influencing loci. Although it may be a very clever strategy for identifying genes that influence human traits and diseases, AM can be problematic. We review the foundations, basic strategies, resources, and settings necessary for AM. We conclude that AM has potential in the identification of disease-predisposing loci, but this potential may only exist in a limited number of realistic settings.

Indexed as

Chromosome MappingGenetic Predisposition to DiseaseGenetic MarkersHumansGenetic Markers

Identifiers

PMID15683584
OpenAlexW2088681500

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.