Evidence map›Paper›PMID 21909109›Full record

SynthesisNature genetics2011

Large-scale genome-wide association studies in East Asians identify new genetic loci influencing metabolic traits.

Young Jin Kim, Min Jin Go, Cheng Hu, Chang Bum Hong, Yun Kyoung Kim, Ji Young Lee, Joo-Yeon Hwang, Ji Hee Oh, Dong-Joon Kim, Nam Hee Kim and 24 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 28 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
195citing papers in PubMed, 28 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

195 citing papers in PubMed, 28 syntheses or guidelines pooled it.

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  17. Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014
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135 more citing papers are in PubMed but not listed here.

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

34 authors.

Young Jin KimCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea.
Min Jin Go
Cheng Hu
Chang Bum Hong
Yun Kyoung Kim
Ji Young Lee
Joo-Yeon Hwang
Ji Hee Oh
Dong-Joon Kim
Nam Hee Kim
Soeui Kim
Eun Jung Hong
Ji-Hyun Kim
Haesook Min
Yeonjung Kim
Rong Zhang
Weiping Jia
Yukinori Okada
Atsushi Takahashi
Michiaki Kubo
Toshihiro Tanaka
Naoyuki Kamatani
Koichi Matsuda
MAGIC consortium
Taesung Park
Bermseok Oh
Kuchan Kimm
Daehee Kang
Chol Shin
Nam H Cho
Hyung-Lae Kim
Bok-Ghee Han
Jong-Young Lee
Yoon Shin Cho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAdultAgedAsian PeopleBlood GlucoseCase-Control StudiesChinaCholesterol, HDLCholesterol, LDLCohort StudiesFastingGene Expression RegulationGenetic Predisposition to DiseaseGenome, HumanGenotyping TechniquesBlood GlucoseCholesterol, HDLCholesterol, LDL

Identifiers

PMID21909109

What OpenQuestion holds

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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.