Post by Jian Yang on Oct 29, 2015 4:09:29 GMT
Please see the link below for the paper.
hmg.oxfordjournals.org/content/early/2015/10/21/hmg.ddv443.abstract
1) Between-sex genetic correlation is not significantly different from 1 for height and body mass index (BMI), meaning that there is no genetic difference between men and women for these two traits.
2) Between-sex genetic correlation is significantly lower than 1 for BMI-adjusted waist-hip-ratio (WHRadjBMI), meaning that there is genetic heterogeneity between men and women for WHRadjBMI.
3) SNP-heritability estimated from LDSC regression using LD score data from 1000G CEU tends to be smaller than that from GCTA-GREML.
4) Genetic correlation estimated from bivariate LDSC regression (using LD score data from 1000G CEU) is similar as that from bivariate GCTA-GREML. However, the SE from LDSC regression is (~1.9 times) larger than that from GREML.
Note that all the findings are based on autosomal SNPs on HapMap3.
hmg.oxfordjournals.org/content/early/2015/10/21/hmg.ddv443.abstract
1) Between-sex genetic correlation is not significantly different from 1 for height and body mass index (BMI), meaning that there is no genetic difference between men and women for these two traits.
2) Between-sex genetic correlation is significantly lower than 1 for BMI-adjusted waist-hip-ratio (WHRadjBMI), meaning that there is genetic heterogeneity between men and women for WHRadjBMI.
3) SNP-heritability estimated from LDSC regression using LD score data from 1000G CEU tends to be smaller than that from GCTA-GREML.
4) Genetic correlation estimated from bivariate LDSC regression (using LD score data from 1000G CEU) is similar as that from bivariate GCTA-GREML. However, the SE from LDSC regression is (~1.9 times) larger than that from GREML.
Note that all the findings are based on autosomal SNPs on HapMap3.