Level A· Stronger Clinical EvidenceMeta-analysisEurope PMCOpen access

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

Justice AE., Karaderi T., Highland HM., Young KL., Graff M., Lu Y.

Meta-analysis on Hip, published in Nat Genet (2019) — summary generated from the PubMed abstract.

Open my reading list
Level A· Stronger Clinical EvidenceEvidence level of this study

Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
Read the A–D evidence level guide

This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Meta-analysis
Journal
Nat Genet (2019)
Reported sample size
—
Source database
Europe PMC
PMID
30778226
PMCID
PMC6560635
DOI
10.1038/s41588-018-0334-2
Citations
94

Abstract (original English)

Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted coding and splice site variants available on exome arrays in up to 344,369 individuals from five major ancestries (discovery) and 132,177 European-ancestry individuals (validation). We identified 15 common (minor allele frequency, MAF ≥5%) and nine low-frequency or rare (MAF <5%) coding novel variants. Pathway/gene set enrichment analyses identified lipid particle, adiponectin, abnormal white adipose tissue physiology and bone development and morphology as important contributors to fat distribution, while cross-trait associations highlight cardiometabolic traits. In functional follow-up analyses, specifically in Drosophila RNAi-knockdowns, we observed a significant increase in the total body triglyceride levels for two genes (DNAH10 and PLXND1). We implicate novel genes in fat distribution, stressing the importance of interrogating low-frequency and protein-coding variants.

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.

Evidence level

Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.

How we grade evidence
AnimalsHumansDrosophilaGenetic Predisposition to DiseaseLipidsProteinsBody Mass IndexWaist-Hip RatioRisk FactorsCase-Control Studies

Browse all related research

Filter the research library by this study's title keywords, author, or publication year.

Related research