Evidence map›Paper›PMID 16680432›Full record

ArticleHuman genetics2006

Efficient selection of tagging single-nucleotide polymorphisms in multiple populations.

Bryan N Howie, Christopher S Carlson, Mark J Rieder, Deborah A Nickerson

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 68 citations in OpenAlex.

  1. Trial
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  12. Prevalence and prognostic effect of sarcopenia in breast cancer survivors: the HEAL Study.Journal of cancer survivorship : research and practice · 2012
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  18. Tight junction defects in patients with atopic dermatitis.The Journal of allergy and clinical immunology · 2011
    Article
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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

4 authors at 1 institution in 1 country.

Bryan N HowieDepartment of Genome Sciences, University of Washington, Box 357730, Seattle, WA 98195, USA.
Christopher S Carlson
Mark J Rieder
Deborah A Nickerson
University of Washington · US

Funding

UW-FHCRC VARIATION DISCOVERY RESOURCEU01HL066682 · NHLBI · UNIVERSITY OF WASHINGTON · PI NICKERSON, DEBORAH A · 2000 to 2007
$19.1M
NHLBI NIH HHS HL66682NIEHS NIH HHS ES15478
6 · The paper itself

Abstract

Common genetic polymorphism may explain a portion of the heritable risk for common diseases, so considerable effort has been devoted to finding and typing common single-nucleotide polymorphisms (SNPs) in the human genome. Many SNPs show correlated genotypes, or linkage disequilibrium (LD), suggesting that only a subset of all SNPs (known as tagging SNPs, or tagSNPs) need to be genotyped for disease association studies. Based on the genetic differences that exist among human populations, most tagSNP sets are defined in a single population and applied only in populations that are closely related. To improve the efficiency of multi-population analyses, we have developed an algorithm called MultiPop-TagSelect that finds a near-minimal union of population-specific tagSNP sets across an arbitrary number of populations. We present this approach as an extension of LD-select, a tagSNP selection method that uses a greedy algorithm to group SNPs into bins based on their pairwise association patterns, although the MultiPop-TagSelect algorithm could be used with any SNP tagging approach that allows choices between nearly equivalent SNPs. We evaluate the algorithm by considering tagSNP selection in candidate-gene resequencing data and lower density whole-chromosome data. Our analysis reveals that an exhaustive search is often intractable, while the developed algorithm can quickly and reliably find near-optimal solutions even for difficult tagSNP selection problems. Using populations of African, Asian, and European ancestry, we also show that an optimal multi-population set of tagSNPs can be substantially smaller (up to 44%) than a typical set obtained through independent or sequential selection.

Indexed as

AlgorithmsGenetics, PopulationAsian PeopleBlack PeopleGenotypeHumansLinkage DisequilibriumPolymorphism, Single NucleotideWhite People

Identifiers

PMID16680432
OpenAlexW2085773085

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.