Evidence map›Paper›PMID 11517425›Full record

ArticleAmerican journal of human genetics2001

The Ising model in physics and statistical genetics.

J Majewski, H Li, J Ott

Abstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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

3 authors.

J MajewskiLaboratory of Statistical Genetics, The Rockefeller University, New York, NY, 10021, USA. majewski@complex.rockefeller.edu
H Li
J Ott

Funding

QUANTITATIVE METHODS TO MAP GENES FOR COMPLEX TRAITSR01MH059492 · NIMH · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 2000 to 2002
$415k
NIMH NIH HHS MH59492
6 · The paper itself

Abstract

Interdisciplinary communication is becoming a crucial component of the present scientific environment. Theoretical models developed in diverse disciplines often may be successfully employed in solving seemingly unrelated problems that can be reduced to similar mathematical formulation. The Ising model has been proposed in statistical physics as a simplified model for analysis of magnetic interactions and structures of ferromagnetic substances. Here, we present an application of the one-dimensional, linear Ising model to affected-sib-pair (ASP) analysis in genetics. By analyzing simulated genetics data, we show that the simplified Ising model with only nearest-neighbor interactions between genetic markers has statistical properties comparable to much more complex algorithms from genetics analysis, such as those implemented in the Allegro and Mapmaker-Sibs programs. We also adapt the model to include epistatic interactions and to demonstrate its usefulness in detecting modifier loci with weak individual genetic contributions. A reanalysis of data on type 1 diabetes detects several susceptibility loci not previously found by other methods of analysis.

Indexed as

Models, GeneticModels, StatisticalAlgorithmsAllelesChromosome MappingComputer SimulationDiabetes Mellitus, Type 1Epistasis, GeneticGenetic MarkersGenetic Predisposition to DiseaseHumansLod ScoreMagneticsMatched-Pair AnalysisNuclear FamilyResearch DesignGenetic Markers

Identifiers

PMID11517425
PMCPMC1226070

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.