Evidence map›Paper›PMID 21537949›Full record

ReviewHuman genetics2011

Delineating the Hemostaseome as an aid to individualize the analysis of the hereditary basis of thrombotic and bleeding disorders.

Kim Fechtel, Marika L Osterbur, Hildegard Kehrer-Sawatzki, Peter D Stenson, David N Cooper

Open access · greenAbstract readReview
In one paragraph

Review in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 3 institutions in 3 countries.

Kim Fechtel3rd Millennium Inc., Waltham, MA 02451, USA. kfechtel@3rdmill.com
Marika L Osterbur
Hildegard Kehrer-Sawatzki
Peter D Stenson
David N Cooper
Cardiff University · GBMillennium Engineering and Integration (United States) · USUniversität Ulm · DE

Funding

iGenomeTM Software Platform Prototype for Individual Genetic Health AssessmentR43HG004678 · NHGRI · 3RD MILLENNIUM, INC · PI FECHTEL, KIM · 2008 to 2009
$354k
NHGRI NIH HHS 1R43HG004678-01NHGRI NIH HHS 5R43HG004678-02NHGRI NIH HHS R43 HG004678
6 · The paper itself

Abstract

Next-generation sequencing and genome-wide association studies represent powerful tools to identify genetic variants that confer disease risk within populations. On their own, however, they cannot provide insight into how these variants contribute to individual risk for diseases that exhibit complex inheritance, or alternatively confer health in a given individual. Even in the case of well-characterized variants that confer a significant disease risk, more healthy individuals carry the variant, with no apparent ill effect, than those who manifest disease. Access to low-cost genome sequence data promises to provide an unprecedentedly detailed view of the nature of the hereditary component of complex diseases, but requires the large-scale comparison of sequence data from individuals with and without disease to deliver a clinical calibration. The provision of informatics support remains problematic as there are currently no means to interpret the data generated. Here, we initiate this process, a prerequisite for such a study, by narrowing the focus from an entire genome to that of a single biological system. To this end, we examine the 'Hemostaseome,' and more specifically focus on DNA sequence changes pertaining to those human genes known to impact upon hemostasis and thrombosis that can be analyzed coordinately, and on an individual basis, to interrogate how specific combinations of variants act to confer disease predisposition. As a first step, we delineate known members of the Hemostaseome and explore the nature of the genetic variants that may cause disease in individuals whose hemostatic balance has become shifted toward either a prothrombotic or anticoagulant phenotype.

Indexed as

Genome, HumanBlood Coagulation Disorders, InheritedDNA Copy Number VariationsGenetic Predisposition to DiseaseGenetic VariationHemostasisHumansMutationSequence Analysis, DNASoftware

Identifiers

PMID21537949
PMCPMC3136392
OpenAlexW2085874580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.