Evidence map›Paper›PMID 20941547›Full record

ArticleFamilial cancer2011

Genetic epidemiological analysis reveals a multi-gene additive model for gastric cancer.

Sanyou Gao, Xiaohui Zhang, Peng Wang, Liping Dai, Jianying Zhang, Kaijuan Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Familial cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 87% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Sanyou GaoHenan Center for Disease Control and Prevention, 450016, Zhengzhou, China.
Xiaohui Zhang
Peng Wang
Liping Dai
Jianying Zhang
Kaijuan Wang
Zhengzhou University · CNHenan Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A genetic epidemiologic analysis of gastric cancer in the Chinese Han population was conducted for 64 pedigrees (902 individuals) with gastric cancer and controls obtained from the population after a census was carried out in August 2007. The heritability of gastric cancer was performed using the Falconer method and the complex segregation analysis was performed using the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) SEGREG program. The heritability of gastric cancer in first- and second-degree relatives was 54.75% (95% CI, 48.01-61.49%) and 44.97% (95% CI, 33.12-56.82%), respectively. The estimated segregation ratio of gastric cancer was 0.039 (95% CI, 0.017-0.061). The complex segregation analysis showed that the Mendelian inheritance of additive model provided the best fit to the data (AIC = 170.58, P > 0.05). Therefore, polygenetic or multi-factorial additive inheritance is involved in the genetic predisposition for the development of gastric cancer.

Indexed as

Genetic Predisposition to DiseaseModels, GeneticMultigene FamilyAdenocarcinomaAdultAgedAged, 80 and overCase-Control StudiesChinaFemaleHumansMaleMiddle AgedPedigreePrognosisStomach Neoplasms

Identifiers

PMID20941547
OpenAlexW2037070748

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.