Evidence map›Paper›PMID 30955190›Full record

ArticleClinical and experimental nephrology2019

Genetic risk score raises the risk of incidence of chronic kidney disease in Korean general population-based cohort.

Sohyun Yun, Miyeun Han, Hyo Jin Kim, Hyunsuk Kim, Eunjeong Kang, Sangsoo Kim, Curie Ahn, Kook-Hwan Oh

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Guideline
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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

8 authors at 5 institutions in 3 countries.

Sohyun YunInstitute of Biomedical Research, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
Miyeun HanDepartment of Internal Medicine, Pusan National University College of Medicine, 179, Gudeok-ro, Seo-gu, Busan, Republic of Korea.
Hyo Jin KimDepartment of Internal Medicine, Dongguk University College of Medicine, 87, Dongdae-ro, Gyeongju-Si, Gyeongsangbuk-do, Republic of Korea.
Hyunsuk KimDepartment of Internal Medicine, Hallym University Medical Center, Chuncheon Sacred Heart Hospital, 77, Sakju-ro, Chuncheon-Si, Gangwon-do, Republic of Korea.
Eunjeong KangDepartment of Internal Medicine, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
Sangsoo KimDepartment of Bioinformatics and Life Science, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul, Republic of Korea.
Curie AhnDepartment of Internal Medicine, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, Republic of Korea. khoh@snu.ac.kr.ORCID http://orcid.org/0000-0001-9525-2179
Seoul National University · KRHallym University · KRPusan National University · KRSeoul National University Hospital · KRSoongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a common disease, affecting about 10% of the general population. The genetic component about CKD incidence in Asian population is not well known. The aim of the study is to find the genetic loci associated with incident CKD and to figure out the effect of genetic variation on the development of CKD.

methodsWe conducted a genome-wide association (GWA) study regarding the development of CKD based on two population-based cohorts of Korean Genome Epidemiology Study. 3617 Koreans from two different cohorts, aged 40-49 years without CKD at initial visit, were included in our analysis. We used 2510 individuals in Ansan as the discovery set and another 1107 individuals from Ansung as the replication set. At baseline, members of both cohorts provided information on creatinine, and DNA samples were collected for genotyping. Single nucleotide polymorphisms that surpassed a significance threshold of P < 5 × 10

resultsA total of 281 among 3617 developed CKD during the follow-up period. Incident CKD group was older (P < 0.001), included more female (P < 0.001), and had more hypertension and diabetes (P < 0.001). We identified 12 SNPs that are associated with incident CKD in the GWA study and made genetic risk score using these SNPs. In multiple Cox regression analysis, genetic risk score was still a significant associated factor (HR 1.311, CI 1.201, 1.431, P < 0.001).

conclusionsWe identified several loci highly associated with incident CKD. The findings suggest the need for further investigations on the genetic propensity for incident CKD.

Indexed as

Genetic LociPolymorphism, Single NucleotideTranscriptomeAdultAsian PeopleFemaleGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIncidenceLongitudinal StudiesMaleMiddle AgedPhenotypeRenal Insufficiency, ChronicChronic kidney diseaseGenetic risk scoreGenome-wide association study

Identifiers

PMID30955190
OpenAlexW2927605918

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.