Evidence map›Paper›PMID 17274005›Full record

ArticleHuman mutation2007

Patterns of variation in DNA segments upstream of transcription start sites.

Damian Labuda, Catherine Labbé, Sylvie Langlois, Jean-Francois Lefebvre, Virginie Freytag, Claudia Moreau, Jakub Sawicki, Patrick Beaulieu, Tomi Pastinen, Thomas J Hudson and 1 more

Abstract read
In one paragraph

Article in Human mutation, 2007. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

11 authors.

Damian LabudaCentre de Recherche, Hôpital Sainte-Justine, Montréal, Quebec, Canada. damian.labuda@umontreal.ca
Catherine Labbé
Sylvie Langlois
Jean-Francois Lefebvre
Virginie Freytag
Claudia Moreau
Jakub Sawicki
Patrick Beaulieu
Tomi Pastinen
Thomas J Hudson
Daniel Sinnett

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is likely that evolutionary differences among species are driven by sequence changes in regulatory regions. Likewise, polymorphisms in the promoter regions may be responsible for interindividual differences at the level of populations. We present an unbiased survey of genetic variation in 2-kb segments upstream of the transcription start sites of 28 protein-coding genes, characterized in five population groups of different geographic origin. On average, we found 9.1 polymorphisms and 8.8 haplotypes per segment with corresponding nucleotide and haplotype diversities of 0.082% and 58%, respectively. We characterized these segments through different summary statistics, Hardy-Weinberg equilibria fixation index (Fst) estimates, and neutrality tests, as well as by analyzing the distributions of haplotype allelic classes, introduced here to assess the departure from neutrality and examined by coalescent simulations under a simple population model, assuming recombinations or different demography. Our results suggest that genetic diversity in some of these regions could have been shaped by purifying selection and driven by adaptive changes in the other, thus explaining the relatively large variance in the corresponding genetic diversity indices loci. However, some of these effects could be also due to linkage with surrounding sequences, and the neutralists' explanations cannot be ruled out given uncertainty in the underlying demographic histories and the possibility of random effects due to the small size of the studied segments.

Indexed as

Transcription, GeneticAllelesAnimalsDNAGenotypeHaplotypesHumansPolymorphism, GeneticPromoter Regions, GeneticDNA

Identifiers

PMID17274005
PMCPMC2683062

What OpenQuestion holds

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Registered trials

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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.