Sentence examples for most polymorphic human from inspiring English sources

The gene that encodes 21-hydroxylase enzyme, CYP21A2, is considered to be one of the most polymorphic human genes.

The CYP21A2 analysis in our Spanish random population has confirmed that this gene is one of the most polymorphic human ones, as it has already been described by Cargill and co-workers [36].

It is polygenic as it contains several different MHC class I and MHC class II genes and it is the most polymorphic human gene known with hundreds of variants for some of these genes [50].

The CYP21A2 gene, localized in a genetic unit defined RCCX module, is considered one of the most polymorphic of human genes.

In comparison to a previous paper that selected MHC class II binders according to the binding affinity to multiple HLA-DR subtypes [ 13], we focused on DRB1 alleles which are most polymorphic among human MHC class II loci and thus directed our study to be more specific and increased possibility to induce T cell responses specifically for Chinese.

The human major histocompatibility complex (MHC) gene cluster on the short arm of chromosome 6, contains the most polymorphic loci in humans, the human leukocyte antigens (HLA) class I and class II genes.

The HLA genes are the most polymorphic of the human genome, and novel HLA alleles are continuously identified, often by clinical Sanger sequencing-based typing (SBT) assays.

The HLA locus is among the most polymorphic in the human genome.

The genes encoding HLA class I are among the most polymorphic in the human genome [12]: each individual expresses up to six different class I alleles (two at each of the A, B and C loci) out of a pool of over two thousand allelic variants defined to date.

Because HLA loci are the most polymorphic in the human genome, they most likely represent the worst case scenario for mapping bias and, consequently, allele frequency estimation error.

Because HLA loci are the most polymorphic in the human genome, they represent a worst case scenario for mapping bias and subsequent allele frequency estimation errors.