Evidence map›Paper›PMID 20461112›Full record

ArticleEuropean journal of human genetics : EJHG2010

A powerful score test to detect positive selection in genome-wide scans.

Ming Zhong, Kenneth Lange, Jeanette C Papp, Ruzong Fan

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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

7 citing papers in PubMed.

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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.

Ming ZhongDepartment of Statistics, The Texas A&M University, College Station, TX 77843-3143, USA.
Kenneth Lange
Jeanette C Papp
Ruzong Fan

Funding

STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
Statistical Methods for Gene Environment Interactions In Lung CancerR01CA133996 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2009
$790k
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCI NIH HHS R01 CA133996NCI NIH HHS R01CA133996NIGMS NIH HHS R01 GM053275NIGMS NIH HHS R01GM53275NIMH NIH HHS R01 MH059490NIMH NIH HHS R01MH59490
6 · The paper itself

Abstract

One of the surest signatures of recent positive selection is a local elevation of advantageous allele frequency and linkage disequilibrium (LD). We proposed to detect such hitchhiking effects by using extended stretches of homozygosity as a surrogate indicator of recent positive selection. An extended haplotype-based homozygosity score test (EHHST) was developed to detect excess homozygosity. The EHHST conditioned on existing LD and it tested the haplotype version of the Hardy-Weinberg equilibrium. Compared with existing popular tests, which usually lack clear distribution, the EHHST is asymptotically normal, which makes analysis and applications easier. In particular, the EHHST facilitates the computation of an asymptotic P-value instead of an empirical P-value, using simulations. We evaluated by simulation that the EHHST led to appropriate false-positive rates, and it had higher or similar power as the existing popular methods. The method was applied to HapMap Phase II data. We were able to replicate previous findings of strong positive selection in 17 autosome genomic regions out of 20 reported candidates. On the basis of high EHHST values and population differentiations, we identified 15 new candidate regions that could undergo recent selection.

Indexed as

Linkage DisequilibriumModels, GeneticSelection, GeneticAllelesChromosome MappingComputational BiologyComputer SimulationData MiningGene FrequencyGenetics, PopulationGenome, HumanGenome-Wide Association StudyGenomicsHaplotypesHomozygoteHumans

Identifiers

PMID20461112
PMCPMC2987455

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.