Evidence map›Paper›PMID 19172084›Full record

ReviewHuman heredity2009

Haplotyping methods for pedigrees.

Guimin Gao, David B Allison, Ina Hoeschele

Abstract readReview
In one paragraph

Review in Human heredity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. The Contribution ofInternational journal of molecular sciences · 2022
    Review
  4. flopp: Extremely Fast Long-Read Polyploid Haplotype Phasing by Uniform Tree Partitioning.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Curiosities of X chromosomal markers and haplotypes.International journal of legal medicine · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

3 authors.

Guimin GaoDepartment of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Ala., USA.
David B Allison
Ina Hoeschele

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Center for Nutrient-Gene Interaction in Cancer PreventionU54CA100949 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARNES, STEPHEN · 2003 to 2008
$9.7M
Positional Gene Identification of Complex TraitsR01ES009912 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 1999 to 2006
$3.3M
Haplotyping and QTL Mapping in Pedigrees with Missing DataR01GM073766 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI GAO, GUIMIN · 2007 to 2011
$1.3M
NCI NIH HHS CA100949NCI NIH HHS U54 CA100949NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30DK056336NIEHS NIH HHS ES09912NIEHS NIH HHS R01 ES009912NIGMS NIH HHS GM073766NIGMS NIH HHS R01 GM073766
6 · The paper itself

Abstract

Haplotypes provide valuable information in the study of diseases, complex traits, population histories, and evolutionary genetics. With the dramatic increase in the number of available single nucleotide polymorphism (SNP) markers, haplotype inference (haplotyping) using observed genotype data has become an important component of genetic studies in general and of statistical gene mapping in particular. Existing haplotyping methods include (1) population-based methods, (2) methods for pooled DNA samples, and (3) methods for family and pedigree data. The methods and computer programs for population data and pooled DNA samples were reviewed recently in the literature. As several authors noted, family and pedigree datasets are abundant and have unique advantages. In the past twenty years, many haplotyping methods for family and pedigree data have been developed. Therefore, in this contribution we review haplotyping methods and the corresponding computer programs suitable for family and pedigree data and discuss their applications and limitations. We explore the connections among these methods, and describe the challenges that remain to be addressed.

Indexed as

HaplotypesPedigreeAlgorithmsAnimalsBayes TheoremChromosome MappingComputer SimulationHumansLikelihood FunctionsPolymorphism, Single Nucleotide

Identifiers

PMID19172084
PMCPMC2692835

What OpenQuestion holds

Textmetadata
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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.