Evidence map›Paper›PMID 11254451›Full record

ArticleAmerican journal of human genetics2001

Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.

K Y Liang, F C Hsu, T H Beaty, K C Barnes

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 21 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

4 authors at 2 institutions in 1 country.

K Y LiangDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA. kyliang@jhsph.edu
F C Hsu
T H Beaty
K C Barnes
Johns Hopkins University · USUniversity of Baltimore · US

Funding

STATISTICAL METHODS FOR GENETICS EPIDEMIOLOGYR01GM049909 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LIANG, KUNG-YEE · 1993 to 2004
$1.5M
NIGMS NIH HHS GM49909NIGMS NIH HHS R01 GM049909
6 · The paper itself

Abstract

In the present study we propose a multipoint approach, for the mapping of genes, that is based on the case-parent trio design. We first derive an expression for the expected preferential-allele-transmission statistics for transmission, from either parent to an affected child, for an arbitrary location within a chromosomal region demarcated by several genetic markers. No assumption about genetic mechanism is needed in this derivation, beyond the assumption that no more than one disease gene lies in the region framed by the markers. When one builds on this representation, the way in which one may maximize the genetic information from multiple markers becomes obvious. This proposed method differs from the popular transmission/disequilibrium test (TDT) approach for fine mapping, in the following ways: First, in contrast with the TDT approach, all markers contribute information, regardless of whether the parents are heterozygous at any one marker, and incomplete trio data can be utilized in our approach. Second, rather than performing the TDT at each marker separately, we propose a single test statistic that follows a chi(2) distribution with 1 df, under the null hypothesis of no linkage or linkage disequilibrium to the region. Third, in the presence of linkage evidence, we offer a means to estimate the location of the disease locus along with its sampling uncertainty. We illustrate the proposed method with data from a family study of asthma, conducted in Barbados.

Indexed as

Nuclear FamilyAllelesAsthmaBarbadosChi-Square DistributionChromosome MappingChromosomes, Human, Pair 12FemaleGenetic MarkersGenetic Predisposition to DiseaseHeterozygoteHumansLinkage DisequilibriumMaleModels, GeneticGenetic Markers

Identifiers

PMID11254451
PMCPMC1275648
OpenAlexW2027545089

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.