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New Study Identifies Genetic Links to Unhealthy Lipid Profiles

A large-scale genetic study has found associations between specific genes and lipid species that may help identify new targets for disease prevention.

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1 min read

In the vast and intricate human body, there are countless tiny building blocks that work together to keep us alive. One such group of molecules is known as complex lipids, which play a crucial role in our overall health. But despite their importance, many of these lipids' genetic secrets remained a mystery.

Recently, researchers conducted a massive study to unravel the mysteries of the human lipidome. They examined nearly 970 different types of complex lipids and discovered some surprising findings. Their research shed new light on how genetics influence our lipid metabolism, which is linked to various diseases.

This discovery matters because it could help us better understand the root causes of many diseases, allowing for more effective treatments and risk assessments. By uncovering the intricate genetic underpinnings of lipid metabolism, researchers may be able to identify new targets for therapeutic intervention.

The people behind the work

  • Landstra EN et al.

    Author

    Published in Nature communications

Source: Nature communications

Sources & Verification

Every statement in this story is drawn from the facts below. Each is linked to a primary or reputable source — follow any citation to check it for yourself.

  1. The human lipidome comprises numerous complex lipids, dysregulation of which can contribute to the pathogenesis of a wide range of diseases. Nature communications
  2. Despite the high heritability of parts of the lipidome, the genetic architecture of many circulating lipid species and their structure remains mostly unknown. Nature communications
  3. Thus, we perform genome-wide association studies on 970 lipid species and 267 fatty acid composite measures using samples from the population-based Rhineland Study (n = 6096). Nature communications
  4. We validate our findings using corresponding data from two other independent cohorts, including FinnGen (n = 7266) and EPIC-Potsdam (n = 1188). Nature communications
  5. Out of 217 lead genomic loci, we find 136 to be novel, such as FDFT1. Nature communications
  6. Using mendelian randomization and individual-level gene expression data, we identify 43 possible causal associations between candidate genes and corresponding lipid species, including FDFT1 - diacylglycerol (16:0/18:0). Nature communications
  7. Our findings provide new insights into the intricate genetic underpinnings of lipid metabolism, which may facilitate risk stratification and discovery of new therapeutic targets. Nature communications

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