Adult height is a polygenetic trait, which means that it is controlled by more than one gene. It is easily measured and highly heritable (h2 ~0.75- 0.9) (Kim, et al., 2010). Final adult height is the result of growth and development processes and has limited contribution from environmental factors (Weedon, et al., 2008). As a result, loci influencing height are compared and contrasted from different races.
Genome-wide association (GWA) is a method used to quickly scan markers across genomes (complete set of DNA). GWA data was used from 4,921 individuals of Caucasian descent (Weedon, et al., 2008). A common variant, also known as single-nucleotide polymorphism (SNP), was identified. It was the only one to attain a level of significance suggestive of correlation(P=4 ×〖10〗^(-8)). The correlation was …show more content…
The first stage measured height using standard anthropometric techniques. Anthropometric measurements are systematic measurements of the size, shape, and composition of the human body. Height data was also gathered from self-reported questionnaires. The lack of heterogeneity for the 20 confirmed loci means that the self-reported data did not skew the results. The additive genetic effect (estimate of the quantitative change in a trait that is substituting one allele with another in an interbreeding population) model statistics of 402,951 SNPs was compared and showed an increase deviation of the observed statistics from the null distribution (Weedon, et al., 2008). It was observed that 27 independent signals had(P<0.01) in both cohorts. The loci that were found in the Caucasian population were (LTBP1, EFEMP1, ZBTB38, HMGA1, PLAG1, FBP2, and TBX4) and the other 8 were newly found for the first time in Koreans. One of which was the EXT1 gene. This gene was found be involved in the chain elongation step, which is important for translation of mRNA to
Genome-wide association (GWA) is a method used to quickly scan markers across genomes (complete set of DNA). GWA data was used from 4,921 individuals of Caucasian descent (Weedon, et al., 2008). A common variant, also known as single-nucleotide polymorphism (SNP), was identified. It was the only one to attain a level of significance suggestive of correlation(P=4 ×〖10〗^(-8)). The correlation was …show more content…
The first stage measured height using standard anthropometric techniques. Anthropometric measurements are systematic measurements of the size, shape, and composition of the human body. Height data was also gathered from self-reported questionnaires. The lack of heterogeneity for the 20 confirmed loci means that the self-reported data did not skew the results. The additive genetic effect (estimate of the quantitative change in a trait that is substituting one allele with another in an interbreeding population) model statistics of 402,951 SNPs was compared and showed an increase deviation of the observed statistics from the null distribution (Weedon, et al., 2008). It was observed that 27 independent signals had(P<0.01) in both cohorts. The loci that were found in the Caucasian population were (LTBP1, EFEMP1, ZBTB38, HMGA1, PLAG1, FBP2, and TBX4) and the other 8 were newly found for the first time in Koreans. One of which was the EXT1 gene. This gene was found be involved in the chain elongation step, which is important for translation of mRNA to