Hundreds of common genetic variants across the human genome influence adult height, according to a study of over 180 000 individuals published today in the journal ‘Nature'. The study itself identifies over a hundred new variants and shows that they are not randomly distributed, but are clustered around genes which have been previously linked to growth.
Scientists have now identified a total of 180 genetic variants which influence height. Today's study, which includes funding from the Wellcome Trust and the Medical Research Council, still only accounts for around 10 per cent of our inherited variation in height, highlighting the challenging nature of unravelling genetics.
Height is a classic 'complex trait' - in other words, a trait that is influenced by a number of different genes and the environment. Over 80 per cent of the variation within a given population is estimated to be attributable to genetic factors; the remainder is influenced by a person's environment, such as their diet.
For this new study, almost three hundred researchers from over a hundred institutions across the globe - part of the appropriately named the Genome-wide Investigation of ANthropometric Traits Consortium or GIANT Consortium - analysed data from the DNA samples of over 180 000 individuals, looking for genetic variants known as single nucleotide polymorphisms - SNPs (pronounced 'snips').
The human genome is made up of more than three billion sub units of DNA, called nucleotides. A substantial part of the variation in DNA sequence between individuals is due to differences in individual nucleotides. These differences are the SNPs. Genome-wide association studies scan the genome looking for SNPs that are common in particular populations - for example, in patients with a particular disease.
Researchers from the GIANT Consortium, including teams from the UK, the USA, Iceland and the Netherlands, identified SNPs associated with influencing height in adults in 180 regions of the genome (known as 'loci'); over a hundred of these regions were identified for the first time.
"Height clearly has a lot to do with genetics - shorter parents tend to have shorter children, and taller parents tend to have taller children," says Dr Joel Hirschhorn of Children's Hospital Boston, the Broad Institute and Harvard Medical School. "This paper is the biggest step forward to date in understanding which of the genetic variants that differ between people account for our differences in height."
The researchers found that the loci were not distributed randomly across the genome, but that they clustered within genomic loci and in biological pathways. Twenty-one were found near certain genes known to influence abnormal skeletal growth in rare cases. This suggests that the SNPs were linked to these genes, possibly being involved in their regulation.
Of particular interest was that some of the loci contained sets of genes known to be involved in growth-related processes, and a number of the loci overlapped with those previously linked to other traits and diseases, including bone mineral density, rheumatoid arthritis, type 1 diabetes, psoriasis and obesity.
"We are now starting to find actual evidence supporting the involvement of height genes in the occurrence of human disease, which provides some insight to those epidemiological studies, linking some of these diseases and height," says Dr Fernando Rivadeneira, from Erasmus Medical Center, The Netherlands. "In-depth analysis of the way in which common variants in genes have modest effects on people's height will provide important insight into understanding the causes of human diseases."
"We have found clues to how genes related to growth are being regulated by nearby genetic variants as well as identifying new candidates that may play a role in growth," adds Dr Mike Weedon from the Peninsula Medical School, University of Exeter. "Given the number of loci we have found that contain genes known to be involved in growth, we can assume that those loci not found near known height-related genes could provide potential clues to important and novel biological processes."
Despite the number of DNA samples analysed in this study, the researchers believe that they have only found around a quarter of those genetic variants which could feasibly be identified using genome-wide association studies. To find the remainder will require larger studies and, very likely, a more detailed analysis of different types of variation in the genome, including variants that are rare or complex, such as repetitive or missing sections.
"Genome-wide association studies are very powerful tools, but even so, we are still some way short of understanding the full details of how differences in our genomes influence common human traits such as height," says Professor Tim Frayling, also from the Peninsula Medical School. "Complex traits such as height are proving even more complex than we had first thought. We will need even more powerful tools and different approaches if we are to understand fully the differences between individuals."