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Genetics and Stroke: New Insights from Research

A study uncovers genetic links to strokes and heart issues.

― 5 min read


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Stroke is a major health issue around the world. It can lead to serious disabilities and can be fatal. Because of this, it is important to keep researching the causes of stroke, find out what risk factors we can change, and create better treatments.

What is Arterial Ischemic Stroke?

Arterial ischemic stroke (AIS) makes up about 85% of all strokes. This type occurs when blood vessels in the brain are blocked, which prevents the brain from getting enough blood. This lack of blood can lead to a series of negative effects in the brain. Researchers have found that certain factors related to lifestyle and health can increase the risk of stroke. These include high blood pressure, diabetes, high cholesterol, irregular heartbeats, being overweight, and some habits like smoking.

The Importance of Genetic Studies

Researchers often use Genome-wide Association Studies (GWAS) to look at genetic data from many people to find links between genetics and diseases. These studies typically focus on the first event of a stroke. However, by looking at data from people who have had strokes multiple times, researchers can gain new insights into how strokes progress.

In previous studies, researchers have identified several genetic spots that are linked to stroke. These spots may help in finding new drugs for stroke treatment. However, tracking stroke progression through genetics has its challenges. If researchers only study individuals after their first stroke, they might overlook important links between genetics and stroke that are shared with those who have experienced multiple strokes.

The Role of Mendelian Randomization

Mendelian randomization (MR) is a method that uses genetic information to see if certain factors cause specific health outcomes. One advantage of this method is that it is less likely to be affected by common research biases. For instance, it can help determine if a certain protein level in the blood affects the chances of having a stroke or experiencing major heart issues after a stroke.

To see if proteins in the blood may have links to stroke risks, this study used data from the Million Veteran Program and the UK Biobank, which have a lot of information about genetics and health. Researchers analyzed this data to see how these proteins relate to the chances of having further strokes or major heart problems after an initial stroke.

Study Approach

The designation of stroke was made using medical records to identify people who had a first stroke or a temporary stroke-like event. Those who experienced their first stroke over a year before the study began were not included. To identify additional strokes or heart events, only those occurring at least 90 days after the first stroke were considered, as this timeframe avoids confusion with the initial event.

The UK Biobank includes over 500,000 individuals aged 40-69, collected between 2006 and 2010. On the other hand, the Million Veteran Program includes over 850,000 veterans, making it a large cohort for studying stroke.

Addressing Potential Bias

One of the issues researchers face is Collider Bias, which can happen when analyzing data from individuals with similar health conditions. To tackle this, the study used a method called Slope-Hunter, which assesses bias and tries to give a more accurate estimate of how risk factors relate to stroke progression.

Comparing Results

To see how findings from the initial stroke compared with those from follow-up strokes, researchers conducted two meta-analyses: one focusing on European ancestry and another including multiple ancestries. This way, they could determine if genetic factors related to the first stroke also apply to subsequent strokes or heart events.

Findings from the Genetic Studies

The researchers did not find strong evidence linking genetic factors to subsequent strokes or heart issues across the combined ancestry groups. However, two specific genetic variants were linked to later heart events in people of African descent.

No Strong Associations Found

In the larger analysis across all groups, no significant links were found for later strokes or heart problems. However, the specific ancestry analyses revealed variants that might play a role in later health events. Comparing results before and after addressing potential bias allowed the researchers to assess the impact of this correction on the findings.

Protein Studies

The study also looked at proteins in the blood that might be linked to strokes. They found six proteins that seemed to cause first strokes but did not impact later strokes. Two proteins were linked to increased risk for heart problems after a stroke; one of these appeared to have a protective effect, while the other increased risk.

Implications of Inflammation

In this research, inflammation emerged as a significant factor. The proteins linked to later heart issues were involved in inflammatory responses in the body. Understanding how inflammation relates to stroke progression may help in developing new treatments.

Limitations of the Study

Despite the large size of the data sets and rigorous methods, the study had several limitations. The combined measure of major heart events included strokes, heart attacks, and cardiovascular deaths, which might skew the data. The sample sizes for individuals of Hispanic and African descent were smaller, which might affect the reliability of the findings for these groups. Additionally, the common treatment after a stroke could mask some of the genetic factors that influence health outcomes.

Conclusion

The study identified new genetic variants related to later strokes and heart problems after an initial stroke. Additionally, it found proteins associated with these risks, suggesting that inflammation may play a key role in the progression of stroke-related health problems. More research is necessary to confirm these findings and explore how they can be applied in clinical settings. Understanding the long-term impacts of stroke could lead to better prevention and treatment strategies in the future.

Original Source

Title: Protein identification for stroke progression via Mendelian Randomization in Million Veteran Program and UK Biobank

Abstract: BackgroundIndividuals who have experienced a stroke, or transient ischemic attack, face a heightened risk of future cardiovascular events. Identification of genetic and molecular risk factors for subsequent cardiovascular outcomes may identify effective therapeutic targets to improve prognosis after an incident stroke. MethodsWe performed genome-wide association studies (GWAS) for subsequent major adverse cardiovascular events (MACE) (Ncases=51,929, Ncntrl=39,980) and subsequent arterial ischemic stroke (AIS) Ncases=45,120, Ncntrl=46,789) after first incident stroke within the Million Veteran Program and UK Biobank. We then used genetic variants associated with proteins (pQTLs) to determine the effect of 1,463 plasma protein abundances on subsequent MACE using Mendelian randomization (MR). ResultsTwo variants were significantly associated with subsequent cardiovascular events: rs76472767 (OR=0.75, 95% CI = 0.64-0.85, p= 3.69x10-08) with subsequent AIS and rs13294166 (OR=1.52, 95% CI = 1.37-1.67, p=3.77x10-08) with subsequent MACE. Using MR, we identified 2 proteins with an effect on subsequent MACE after a stroke: CCL27 (effect OR= 0.77, 95% CI = 0.66-0.88, adj. p=0.05), and TNFRSF14 (effect OR=1.42, 95% CI = 1.24-1.60, adj. p=0.006). These proteins are not associated with incident AIS and are implicated to have a role in inflammation. ConclusionsWe found evidence that two proteins with little effect on incident stroke appear to influence subsequent MACE after incident AIS. These associations suggest that inflammation is a contributing factor to subsequent MACE outcomes after incident AIS and highlights potential novel targets.

Authors: Gina M Peloso, A. R. Elmore, N. Adhikari, A. E. Hartley, H. J. Aparicio, D. Posner, G. Hemani, K. Tilling, T. R. Gaunt, P. W. F. Wilson, J. Casas, J. M. Gaziano, G. Davey Smith, L. Paternoster, K. Cho

Last Update: 2024-02-01 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.01.31.24302111

Source PDF: https://www.medrxiv.org/content/10.1101/2024.01.31.24302111.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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