Evidence map›Paper›PMID 18324755›Full record

ArticleJournal of bioinformatics and computational biology2008

A survey on haplotyping algorithms for tightly linked markers.

Jing Li, Tao Jiang

Open access · greenAbstract read
In one paragraph

Article in Journal of bioinformatics and computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Efficient haplotype inference from pedigrees with missing data using linear systems with disjoint-set data structures.Computational systems bioinformatics. Computational Systems Bioinformatics Conference · 2008
    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

2 authors at 2 institutions in 1 country.

Jing LiElectrical Engineering and Computer Science Department, Case Western Reserve University, Cleveland, OH 44106, USA. jingli@case.edu.
Tao Jiang
Case Western Reserve University · USUniversity of California, Riverside · US

Funding

Multi-point and multi-locus analysis of genomic association dataR01LM008991 · NLM · CASE WESTERN RESERVE UNIVERSITY · PI LI, JING · 2006 to 2010
$3.1M
NLM NIH HHS R01 LM008991
6 · The paper itself

Abstract

Two grand challenges in the postgenomic era are to develop a detailed understanding of heritable variation in the human genome, and to develop robust strategies for identifying the genetic contribution to diseases and drug responses. Haplotypes of single nucleotide polymorphisms (SNPs) have been suggested as an effective representation of human variation, and various haplotype-based association mapping methods for complex traits have been proposed in the literature. However, humans are diploid and, in practice, genotype data instead of haplotype data are collected directly. Therefore, efficient and accurate computational methods for haplotype reconstruction are needed and have recently been investigated intensively, especially for tightly linked markers such as SNPs. This paper reviews statistical and combinatorial haplotyping algorithms using pedigree data, unrelated individuals, or pooled samples.

Indexed as

AlgorithmsBase SequenceChromosome MappingDNA Mutational AnalysisGenetic MarkersHaplotypesHumansLinkage DisequilibriumMolecular Sequence DataPolymorphism, Single NucleotideSequence Analysis, DNAGenetic Markers

Identifiers

PMID18324755
PMCPMC3326666
OpenAlexW2128357262

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.