Evidence map›Paper›PMID 11254454›Full record

ArticleAmerican journal of human genetics2001

A new statistical method for haplotype reconstruction from population data.

M Stephens, N J Smith, P Donnelly

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 2,645 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,645citing papers in PubMed, 4 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

2,645 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  19. PharmVar GeneFocus: NAT2-Genetic Variation and Updated Nomenclature.Clinical pharmacology and therapeutics · 2026
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2,585 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

M StephensDepartment of Statistics, University of Oxford. stephens@stat.washington.edu
N J Smith
P Donnelly

Funding

Wellcome Trust
6 · The paper itself

Abstract

Current routine genotyping methods typically do not provide haplotype information, which is essential for many analyses of fine-scale molecular-genetics data. Haplotypes can be obtained, at considerable cost, experimentally or (partially) through genotyping of additional family members. Alternatively, a statistical method can be used to infer phase and to reconstruct haplotypes. We present a new statistical method, applicable to genotype data at linked loci from a population sample, that improves substantially on current algorithms; often, error rates are reduced by > 50%, relative to its nearest competitor. Furthermore, our algorithm performs well in absolute terms, suggesting that reconstructing haplotypes experimentally or by genotyping additional family members may be an inefficient use of resources.

Indexed as

AlgorithmsCalibrationComputer SimulationGene FrequencyHaplotypesHumansResearch DesignSensitivity and SpecificityStatistics as Topic

Identifiers

PMID11254454
PMCPMC1275651

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.