Genes can predict longevity with 77% accuracy: Study

NewsGuard 100/100 Score

In an analysis of genes of more than 1,000 centenarians, American researchers have come to the conclusion that genes play a large role in completing a century in life. The research team studied 1,055 Caucasians born between 1890 and 1910 and compared them with 1,267 people born later. They claim that there are signatures in the genetic makeup of these people that have a possible link with their longevity.

Paola Sebastiani and Thomas Perls from Boston University, who led the research said that these signatures can predict with 77 per cent accuracy whether someone would live to be a centenarian. Dr Perls said, “These genetic signatures are a new advance towards personalised genomics and predictive medicine.” The findings were published in the online issue of the journal Science today. They successfully identified 19 genetic signatures of exceptional longevity that characterised 90 per cent of the centenarians. The signatures wrote the researchers were also predictive of good health, age of onset of dementia, eye problems, heart disease and even cancer. Centenarians with these signatures do not develop common age related diseases till they reach their 90’s said the study authors. 40 percent of "super-centenarians" aged 110 and over had three specific genetic variants in common.

The researchers however did not negate the benefits of a healthy, diet, lifestyle and regular exercises as reasons for longevity.

Dr. Kenneth S. Kendler of the Department of Human and Molecular Genetics at Virginia Commonwealth University also said, “Inheritability of longevity has been looked at, so genes do play a role…” But he cautioned that others factors also determine mortality “such as driving motorcycles fast and smoking.”

The study was funded by grants from the National Institute of Aging and the National Heart Lung and Blood Institute of the National Institutes of Health.

According to gerontologist – doctor who deals with the elderly and their ailments, John McCormack of La Trobe University, “Familial clustering is very important.” The 2006 Australian census identified 3157 people older than 100. Dr McCormack said less than 3 per cent were older than 105.

Researchers believe that although the “genetic puzzle” that determines longevity is complex, it may not be long before someone produces a “DNA chip” test for the long-life genetic variants.

Dr. Ananya Mandal

Written by

Dr. Ananya Mandal

Dr. Ananya Mandal is a doctor by profession, lecturer by vocation and a medical writer by passion. She specialized in Clinical Pharmacology after her bachelor's (MBBS). For her, health communication is not just writing complicated reviews for professionals but making medical knowledge understandable and available to the general public as well.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Mandal, Ananya. (2018, August 23). Genes can predict longevity with 77% accuracy: Study. News-Medical. Retrieved on May 01, 2024 from https://www.news-medical.net/news/20100702/Genes-can-predict-longevity-with-7725-accuracy-Study.aspx.

  • MLA

    Mandal, Ananya. "Genes can predict longevity with 77% accuracy: Study". News-Medical. 01 May 2024. <https://www.news-medical.net/news/20100702/Genes-can-predict-longevity-with-7725-accuracy-Study.aspx>.

  • Chicago

    Mandal, Ananya. "Genes can predict longevity with 77% accuracy: Study". News-Medical. https://www.news-medical.net/news/20100702/Genes-can-predict-longevity-with-7725-accuracy-Study.aspx. (accessed May 01, 2024).

  • Harvard

    Mandal, Ananya. 2018. Genes can predict longevity with 77% accuracy: Study. News-Medical, viewed 01 May 2024, https://www.news-medical.net/news/20100702/Genes-can-predict-longevity-with-7725-accuracy-Study.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study unveils novel bladder cancer diagnostic model based on key mitochondrial genes