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研究:遗传因素只影响身高的40% Height is only 40pc hereditary – the rest is nurture

中国日报网 2022-10-14 09:05






Parents worried that they may pass on their short stature to their children can rest easy as a new study reveals nurture is more important than nature when it comes to a person’s height.



A landmark piece of research has found that more than 12,000 genes are responsible for determining how tall a person becomes, but this hereditary aspect is just 40 percent of the picture.



The other 60 percent is caused by nurture-based traits like environment, upbringing and quality of life.



Analysis of more than 5.4 million people discovered the culpable chunks of DNA involved in height determination and found them to live in parts of the genome which are responsible for skeletal growth.



"Our study identified 12,111 genetic markers – or single nucleotide polymorphisms (SNPs) – associated with height in more than five million individuals from participating studies,” study author Dr Eirini Marouli, associate professor in computational biology at Queen Mary University of London, told The Telegraph.



"These explain 40 percent of height variation in individuals of European ancestries and between 10-20 percent in non-European populations.”



But she added that genetics and its “complex manifestation” are just one part of the explanation.



"Additional aspects could potentially include: advancement in healthcare, nutrition, lifestyle and environmental factors,” Dr Marouli said.



The study, published in Nature, also predicted how tall a person would become based on their genes alone and was found to be more accurate than the current method which estimates a child’s length by the height of their parents.



"Traditionally we use family history to predict a child’s height, but this isn’t a perfect method,” Dr Marouli explained.



"For example, it’s not very accurate in predicting height differences such as those amongst siblings.



"Using single nucleotide polymorphisms (SNPs), or markers of changes in our DNA, could have the potential to give a more accurate prediction.



"This more accurate height prediction could be useful in healthcare. For example, if a child does not reach their predicted height, it could indicate that there might be an underlying condition that might be affecting growth, for example, related to hormonal deficiencies.



"When we combined all the identified genetic variants together into our best polygenic score along with the parental height average that led to an accuracy of more than 54 percent."



"Thus, having a prediction based on genetic changes could potentially provide more accuracy.”





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