Evidence map›Paper›PMID 10407783›Full record

ArticleJournal of inherited metabolic disease1999

Genomics, mutations and the Internet: the naming and use of parts.

C R Scriver, P M Nowacki

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of inherited metabolic disease, 1999. 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
–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

3 citing papers in PubMed.

  1. After the genome--the phenome?Journal of inherited metabolic disease · 2004
    Review
  2. Diagnostic uses of DNA analysis: powerful but problematic.Journal of inherited metabolic disease · 1999
    Article
  3. Automated mutation analysis.Journal of inherited metabolic disease · 1999
    Review
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.

C R ScriverDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
P M Nowacki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations are the source of genetic variation and diversity; by their effect, some are neutral, others are pathogenic. In contemporary genetics, mutations appear at the interface between genomics (structural and functional) and genetics (heredity), where they serve gene discovery and mapping (genomics) and generate challenges to modify their phenotypic effects (medical genetics). Assuming the human genome harbours 80,000 transcribed genes each possessing at least 100 different (germline) alleles in a typical population, how then to record and recover data on at least 8 million human alleles? Bioinformatics is the essential resource to create the corresponding accessible digital libraries (genomic and locus-specific mutation databases) for this purpose, a goal to which The HUGO Mutation Database Initiative (Science 279: 10-11, 1998) aspires. Guidelines now exist for naming alleles (Hum Mutat 11: 1-3, 1998). The principles behind the practice are illustrated by PAHdb (http:/(/)www.mcgill.ca/ pahdb), a prototype locus-specific mutation database (NAR 26: 220-225, 1998), and by prototype genomic mutation databases (HGMD (NAR 26: 285-287, 1998), http:/(/)www.uwcm.ac.uk/uwcm/mg/hgmd0.h tml; the EBI mutation database, http:/(/)www2.ebi.ac.uk/mutations/; and OMIM, http:/(/)www.ncbi.nlm. nih.gov/Omim.html).

Indexed as

Databases, FactualInternetMutationHuman Genome ProjectHumans

Identifiers

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.