Evidence map›Paper›PMID 24040389›Full record

ArticlePloS one2013

IBC CARe microarray allelic population prevalences in an American Indian population.

Lyle G Best, Cindy M Anderson, Richa Saxena, Berta Almoguera, Hareesh Chandrupatla, Candelaria Martin, Gilbert Falcon, Kylie Keplin, Nichole Pearson, Brendan J Keating

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 4 institutions in 1 country.

Lyle G BestScience Department, Turtle Mountain Community College, Belcourt, North Dakota, United States of America ; School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, United States of America.
Cindy M Anderson
Richa Saxena
Berta Almoguera
Hareesh Chandrupatla
Candelaria Martin
Gilbert Falcon
Kylie Keplin
Nichole Pearson
Brendan J Keating
Turtle Mountain Community College · USChildren's Hospital of Philadelphia · USUniversity of North Dakota · USMassachusetts General Hospital · US

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Chris Jurgens · 2012 to 2026
$53.0M
WORKSHOPS AND EVALUATIONP20RR016471 · NCRR · UNIVERSITY OF NORTH DAKOTA · PI KELLER, CHRISTOPHER P · 2001 to 2011
$31.7M
NORTHERN PLAINS CENTER FOR BEHAVIORAL RESEARCH: LATINO, NATIVE AMERICANC06RR022088 · NCRR · UNIVERSITY OF NORTH DAKOTA · PI LINDSETH, GLENDA N · 2005 to 2005
$3.9M
NCRR NIH HHS C06 RR022088NCRR NIH HHS C06RR022088NCRR NIH HHS P20 RR016471NIGMS NIH HHS P20 GM103442NIGMS NIH HHS P20GM12345
6 · The paper itself

Abstract

backgroundThe prevalence of variant alleles among single nucleotide polymorphisms (SNPs) is not well known for many minority populations. These population allele frequencies (PAFs) are necessary to guide genetic epidemiology studies and to understand the population specific contribution of these variants to disease risk. Large differences in PAF among certain functional groups of genes could also indicate possible selection pressure or founder effects of interest. The 50K SNP, custom genotyping microarray (CARe) was developed, focusing on about 2,000 candidate genes and pathways with demonstrated pathophysiologic influence on cardiovascular disease (CVD).

methodsThe CARe microarray was used to genotype 216 unaffected controls in a study of pre-eclampsia among a Northern Plains, American Indian tribe. The allelic prevalences of 34,240 SNPs suitable for analysis, were determined and compared with corresponding HapMap prevalences for the Caucasian population. Further analysis was conducted to compare the frequency of statistically different prevalences among functionally related SNPs, as determined by the DAVID Bioinformatics Resource.

resultsOf the SNPs with PAFs in both datasets, 9.8%,37.2% and 47.1% showed allele frequencies among the American Indian population greater than, less than and either greater or less than (respectively) the HapMap Caucasian population. The 2,547 genes were divided into 53 functional groups using the highest stringency criteria. While none of these groups reached the Bonferroni corrected p value of 0.00094, there were 7 of these 53 groups with significantly more or less differing PAFs, each with a probability of less than 0.05 and an overall probability of 0.0046.

conclusionIn comparison to the HapMap Caucasian population, there are substantial differences in the prevalence among an American Indian community of SNPs related to CVD. Certain functional groups of genes and related SNPs show possible evidence of selection pressure or founder effects.

Indexed as

AllelesOligonucleotide Array Sequence AnalysisAdultCardiovascular DiseasesChromosome MappingFemaleFounder EffectGene FrequencyGenotypeHumansIndians, North AmericanPolymorphism, Single NucleotidePrevalenceUnited StatesWhite PeopleYoung Adult

Identifiers

PMID24040389
PMCPMC3765406
OpenAlexW2149828176

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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.