Evidence map›Paper›PMID 7498756›Full record

ArticleGenetics1995

Analysis of DNA diversity by spatial autocorrelation.

G Bertorelle, G Barbujani

Abstract read
In one paragraph

Article in Genetics, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  14. Article
  15. Geographic patterns of mtDNA diversity in Europe.American journal of human genetics · 2000
    Article
  16. Article
  17. Clines of nuclear DNA markers suggest a largely neolithic ancestry of the European gene pool.Proceedings of the National Academy of Sciences of the United States of America · 1998
    Article
  18. DNA variation and language affinities.American journal of human genetics · 1997
    Article
  19. Geographical structuring in the mtDNA of Italians.Proceedings of the National Academy of Sciences of the United States of America · 1995
    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.

G BertorelleDipartimento di Biologia, Università di Padova, Italy.
G Barbujani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two statistics are proposed for summarizing spatial patterns of DNA diversity. These autocorrelation indices for DNA analysis, or AIDAs, can be applied to RFLP and sequence data; the resulting set of autocorrelation coefficients, or correlogram, measures whether, and to what extent, individual DNA sequences or haplotypes resemble the haplotypes sampled at arbitrarily chosen spatial distances. Analyses of computer-generated sets of data, and of RFLP data from two natural populations, show that AIDAs allow one to objectively and simply identify basic patterns in the spatial distribution of haplotypes. These statistics, therefore, seem to be a useful tool both to explore the genetic structure of a population and to suggest hypotheses on the evolutionary processes that shaped the observed patterns.

Indexed as

Genetic VariationModels, GeneticDNAPolymorphism, Restriction Fragment LengthDNA

Identifiers

PMID7498756
PMCPMC1206654

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.