Evidence map›Paper›PMID 10968775›Full record

ArticleAmerican journal of human genetics2000

Transmission/disequilibrium tests using multiple tightly linked markers.

H Zhao, S Zhang, K R Merikangas, M Trixler, D B Wildenauer, F Sun, K K Kidd

Abstract read
In one paragraph

Article in American journal of human genetics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Modeling Informatively Missing Genotypes in Haplotype Analysis.Communications in statistics: theory and methods · 2009
    Article
  20. Differential parental transmission of markers in BCL3 among Korean cleft case-parent trios.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2009
    Article
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

7 authors.

H ZhaoDepartment of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, USA. hongyu.zhao@yale.edu
S Zhang
K R Merikangas
M Trixler
D B Wildenauer
F Sun
K K Kidd

Funding

STATISTICAL METHODS TO MAP GENES FOR COMPLEX TRAITSR01GM059507 · NIGMS · YALE UNIVERSITY · PI ZHAO, HONGYU · 1999 to 2013
$3.6M
CONTROLS FOR ASSOCIATION STUDIES OF ALCOHOLISMR01AA009379 · NIAAA · YALE UNIVERSITY · PI KIDD, KENNETH K. · 1992 to 2009
$2.7M
STATISTICAL METHODS FOR NONDISJUNCTION DATAR01HD036834 · NICHD · YALE UNIVERSITY · PI ZHAO, HONGYU · 1999 to 2001
$199k
NIAAA NIH HHS AA09379NIAAA NIH HHS R01 AA009379NICHD NIH HHS HD36834NIGMS NIH HHS GM59507NIGMS NIH HHS R01 GM059507
6 · The paper itself

Abstract

Transmission/disequilibrium tests have attracted much attention in genetic studies of complex traits because (a) their power to detect genes having small to moderate effects may be greater than that of other linkage methods and (b) they are robust against population stratification. Highly polymorphic markers have become available throughout the human genome, and many such markers can be studied within short physical distances. Studies using multiple tightly linked markers are more informative than those using single markers. However, such information has not been fully utilized by existing statistical methods, resulting in possibly substantial loss of information in the identification of genes underlying complex traits. In this article, we propose novel statistical methods to analyze multiple tightly linked markers. Simulation studies comparing our methods versus existing methods suggest that our methods are more powerful. Finally, we apply the proposed methods to study genetic linkage between the dopamine D2 receptor locus and alcoholism.

Indexed as

Linkage DisequilibriumAlcoholismChromosome MappingComputer SimulationGene FrequencyGenetic MarkersGermanyHaplotypesHumansHungaryReceptors, Dopamine D2Research DesignSample SizeGenetic MarkersReceptors, Dopamine D2

Identifiers

PMID10968775
PMCPMC1287895

What OpenQuestion holds

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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.