Evidence map›Paper›PMID 32635941›Full record

ArticleHereditas2020

Common variants in LAMC1 confer risk for pelvic organ prolapse in Chinese population.

Juan Chen, Lei Li, Jinghe Lang, Lan Zhu

Abstract read
In one paragraph

Article in Hereditas, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  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

4 authors.

Juan ChenDepartment of General Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China. chenjuan.pumc@gmail.com.
Lei LiDepartment of General Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Jinghe LangDepartment of General Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Lan ZhuDepartment of General Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.

Funding

National Natural Science Foundation of China 81070474State Key Laboratory of Drug Research (CN) XDA16010103
6 · The paper itself

Abstract

backgroundPelvic organ prolapse (POP) affects around 15% of postmenopausal women in China. Although it has been widely accepted that genetic variants could confer risk for POP, the genetic susceptibility variants remain largely unknown. Previous studies indicated that LAMC1, which encodes the laminin gamma 1 chain and is critical for extracellular matrix, might be a susceptibility gene for POP. The study is to test the correlation of common variants across the LAMC1 gene with POP susceptibility in Chinese population.

methodsA total of 396 individuals, including 161 unrelated patients of POP and 235 healthy controls, were recruited. Ten SNPs, including rs20558, rs20563, rs10911193, rs6424889, rs10911241, rs3768617, rs12073936, rs729819, rs10911214 and rs869133, of LAMC1, were genotyped using standard Sanger sequencing. The UNPHASED program (version 3.1.5) was used to analyze the genotyping data for allelic and genotypic associations.

resultsSNP rs10911241 was significantly associated with POP risk (χ

conclusionAssociation of LAMC1 with POP risk in Chinese population strongly supported the involvement of LAMC1 in POP development.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAgedAllelesChinaFemaleGenotypeHumansLamininMiddle AgedPelvic Organ ProlapsePolymorphism, Single NucleotidePopulation SurveillanceSeverity of Illness IndexLamininlaminin gamma 1LAMC1Pelvic organ prolapsePolymorphismsSNP

Identifiers

PMID32635941
PMCPMC7341577

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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.