The recent evidence provided by GWAS and other studies examines the validity related to the binary categorical diagnostic classification for both schizophrenia and bipolar disorder. The GWAS further looks at the implications for the disorders when approaching from a scientific and clinical point of view. Other recent findings from GWAS in schizophrenia suggest common risk alleles despite being substantial is insufficient in terms of accounting for all genetic risks associated with schizophrenia. In addition, the recent GWAS in schizophrenia also suggest the rare role that alleles are likely to play (Doherty, O’ Donovan & Owen, 2012).
On another note, a combined analysis of samples from GWAS schizophrenia can only reveal a minimal number of common risk loci in relation to genome-wide levels of significance. As a result, this only explains a small part of risk; conversely, evidence from other common traits indicates that the identity of genes implicated suggests the possibility of a disease mechanism. In essence, the recent advancement with regard to genomic technology and in this sense, the use of GWAS platform has contributed to new findings related to schizophrenia disorder.
On the same note, positive results have been realized with regard to the study of common and rare variants. This has indicated a range of risk alleles; however, each allele has also been identified to contribute only a small fraction associated with the population variance. In general, GWAS that is associated with schizophrenia has continued to lag behind compared to studies related to other diseases. This result from the difficulty of obtaining sufficient samples related to phenotyped cases (Doherty, O’ Donovan & Owen, 2012). Studies have often focused on limited cases; thus, controls only identify a small fraction of the loci that can be identified appropriately by using larger samples.
In addition, when comparing the studies of other complex diseases with schizophrenia suggests that schizophrenia as a disease is not atypical as evident in the number of loci identified per sample size.
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