Bioinformatics and gestational diseases Lab Report

Bioinformatics and gestational diseases - Lab floor ExampleFurther research is indicated. Introduction Preeclampsia is a gestational disease of fairly greenness occurrence. It has effects of varying severity, and may in its worst forms cause a put on the line to the survival of twain mother and fetus 1. It is primarily joined to high blood pressure during pregnancy, and the attempt of suffering from the actor is greatly increased with chronic hypertension in the mother 2. However, it may also be linked to genetic factors in the fetus and the mother that affect the growth of the placenta, especially the vascular layout of the placenta 3. Despite the likely severity of the condition and the amount of research conducted, the ultimate cause of pre-eclampsia is still unknown 4. communicable analysis methods make up been used in an attempt to determine what genes and proteins associated with those genes are linked to preeclampsia. Coding these genes could take into account a st atistical determination of risk as well as a codification of the risk factors 5. Therefore, this paper will look at the current accepted statistical determinants surrounding preeclampsia and what is presently known regarding the genetic risk factors. Materials and Methods A search was done on Google Scholar for the keywords preeclampsia and the substitute(a) spelling pre-eclampsia and the phrase preeclampsia risk, also with the alternative spelling. Precedence was given to those results that were regain in journals with the words bioinformatics, statistics, or molecular in the titles, though this was not completely exclusive. This was done in order to obtain studies in the field of bioinformatics that were related to the gestational disease preeclampsia. An additional search hindrance was added to that the holds had to be published after 2005, to ensure that single recent results that are currently considered to be correct are used. An additional search was done on ScienceDir ect and PubMed for relevant articles. However, the parameters above returned no results within the ScienceDirect database and precise few on PubMed, so the search was re-done with slightly different terms. The search was designed to restrict only to journals generally in the subject areas of molecular genetics or bioinformatics, but may not have had those keywords in the journal name. The same set of keywords was used, with the additional keywords of molecular genetics and bioinformatics in separate searches added to the phrases. relevance was determined if the article had certain key factors in the abstract when first viewed. These included the words risk factors, gene, allele, or other keywords relating to genetic sequencing and its use in determining risk for preeclampsia. Therefore, the article was determined to be relevant if it appeared to be related to statistically quantifying or codifying the genetic risk factors for preeclampsia Results One suggested genetic risk factor for preeclampsia was the rho-associated coiled-coil protein kinase 2, or the ROCK2 gene. The ROCK2 gene is located on chromosome 2p25, which anterior research has suggested has a link to preeclampsia. However, the gene itself appears to be unrelated to preeclampsia, as when a group of patients were sequenced, in that respect was no correlation between those who had preeclampsia, those who did not suffer from the condition, and the presence or absence of the gene