Evidence map›Paper›PMID 19697356›Full record

ArticleGenetic epidemiology2010

Extent and distribution of linkage disequilibrium in the Old Order Amish.

Cristopher V Van Hout, Albert M Levin, Evadnie Rampersaud, Haiqing Shen, Jeffrey R O'Connell, Braxton D Mitchell, Alan R Shuldiner, Julie A Douglas

Open access · bronzeAbstract read
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Article in Genetic epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 12 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

8 authors at 2 institutions in 1 country.

Cristopher V Van HoutDepartment of Human Genetics, University of Michigan School of Medicine, Ann Arbor, 48109-5618, USA.
Albert M Levin
Evadnie Rampersaud
Haiqing Shen
Jeffrey R O'Connell
Braxton D Mitchell
Alan R Shuldiner
Julie A Douglas
University of Maryland, Baltimore · USUniversity of Michigan · US

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Genome-wide Search for CVD Gene-Environment InteractionsU01HL072515 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2002 to 2008
$11.2M
Mapping Genes for Mammographic Breast DensityR01CA122844 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOUGLAS, JULIE A. · 2007 to 2011
$3.0M
NCI NIH HHS R01 CA122844NHGRI NIH HHS T32 HG000040NHLBI NIH HHS U01 HL072515NHLBI NIH HHS U01 HL72515
6 · The paper itself

Abstract

Knowledge of the extent and distribution of linkage disequilibrium (LD) is critical to the design and interpretation of gene mapping studies. Because the demographic history of each population varies and is often not accurately known, it is necessary to empirically evaluate LD on a population-specific basis. Here we present the first genome-wide survey of LD in the Old Order Amish (OOA) of Lancaster County Pennsylvania, a closed population derived from a modest number of founders. Specifically, we present a comparison of LD between OOA individuals and US Utah participants in the International HapMap project (abbreviated CEU) using a high-density single nucleotide polymorphism (SNP) map. Overall, the allele (and haplotype) frequency distributions and LD profiles were remarkably similar between these two populations. For example, the median absolute allele frequency difference for autosomal SNPs was 0.05, with an inter-quartile range of 0.02-0.09, and for autosomal SNPs 10-20 kb apart with common alleles (minor allele frequency > or =0.05), the LD measure r(2) was at least 0.8 for 15 and 14% of SNP pairs in the OOA and CEU, respectively. Moreover, tag SNPs selected from the HapMap CEU sample captured a substantial portion of the common variation in the OOA ( approximately 88%) at r(2) > or =0.8. These results suggest that the OOA and CEU may share similar LD profiles for other common but untyped SNPs. Thus, in the context of the common variant-common disease hypothesis, genetic variants discovered in gene mapping studies in the OOA may generalize to other populations.

Indexed as

Genetics, PopulationGenome-Wide Association StudyLinkage DisequilibriumPolymorphism, Single NucleotideCardiovascular DiseasesChromosome MappingEthnicityFemaleGenotypeHumansMaleUtahWhite People

Identifiers

PMID19697356
PMCPMC2811753
OpenAlexW2169688840

What OpenQuestion holds

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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.