Submit Manuscript | http://medcraveonline.com Introduction The use of Genome Wide Association Studies for detecting many diseases of forensic interest and traits for sex distributions are due to sex associated variations in prevalence. 1 Genome Wide Genotypic Data from a person for the purpose of utilizing it for forensic sampling in Genome Wide Association Studies. This research further evaluates the actions taken by the authorities in USA to inhibit public access to Genome Wide Data dispersion but however, limitations have been observed to restrict sensitive information and also the use of genotype frequency data from each of the previous study which have been published using funding from public services agencies like National Institute of Health (NIH) and Welcome Trust. Reactions to this implication in the public sector has been not so encouraging when authorities consider it too late and too little that has been done in maintaining privacy for individuals. However, the response from responsible persons in genetic feld of experimentation models declared the breaching of public data as a high level beaurocratic response to a minimum risk which can unnecessarily inhibit the futuristic scientifc research. 2 Other scientifc concerns were also been highlighted concerning to situations when an individual’s identity is accurately determined by applying Genome Wide Association Studies datasets. Several other researchers have also signifed that misuse of an identifcation of an individual along with familial and medical history records and if genetics will not held these sensitive data information it will backfre to their own capabilities to carry further sequence of research network. Church notifed that appropriateness of measures in restricting access to information is likely to exclude the scientists who are specialist in handling sophisticated data. 3 The active researchers in the feld of genomic wide studies further argue that consent for complete disclosure for releasing genomic information should be taken from the respondents rather than making this procedure diffcult to access for promises for anonymity. In similar context, Martin and Bobrow compared and contrasted the related potential risks and advantages in execution, hence proposed four stepped representation: a. For current scenarios limited access to personal genetic information need to be implemented. b. Declaration of any activity that comes under the category of illegalarity need to be banned or be termed as malicious practice. c. Increase in the level of knowledge for the general public to identify the nature of their personal information that can be misused for purposes harmful for them in physical, social or fnancial frameworks. d. Encouragement for appropriate recognition need to be stimulated in order to understand the professional relationship between the genetic researchers and the study participants. The sex and ancestry related data and genetic information are important components for Quantity Check (QC) in GWAS and can be implemented in practice to remove misidentifcations of samples and stratifcations in population samples. The approach to identify the mis-identifcation in processes where strong associations are detected between genotype and phenotype characteristics can be inferred if the observed phenotype is expected to be caused by the observed genotype for every subject within the study. 4 The study of genomic and associated genetic markers requires the step wise following of techniques like frstly, a set of information about genotype and phenotype relationship need to be established and identifed. 2 Secondly, phenotypes need to be ascertained at additional cost before the initiation of study, possibly for reasons of extracting usual phenotype data during the collection method. Thirdly, the modeling for the mixture sample that is under consideration for estimating phenotype and genotype relationship J Investig Genomics. 2018;5(1):15‒17. 15 © 2018 Khatoon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially. Human genetic association studies: genomic association data and its discloser for public access, barrier to human privacy and protection Volume 5 Issue 1 - 2018 Fahmida Khatoon, 1 Farhan Essa Abdullah, 2 Zahid Balouch 3 1 Department of Biochemistry, Faculty of Medicine, United Medical College, Pakistan 2 Professor & CEO, Department of Microbiology, Dr. Essa laboratory and Diagnostic Centre, Pakistan 3 Assistant Professor, United Medical College, Pakistan Correspondence: Fahmida Khatoon MBBS, MPhil, Associate Professor, Department of Biochemistry, United Medical College, Pakistan, Tel 509720781, Email fahmida.khatoon@yahoo.com, drfahmida1@gmail.com Received: December 22, 2017 | Published: February 02, 2018 Abstract The achievements of Human Genome Project and subsequent advancements in Genotyping have led to an infux of exciting new developments in genetics. Technology has provided scientists with a comprehensive data on human genomes as human genome is now capable to incite in depth and precise data information that allows access to detailed DNA sequences in order to analyze clinical questions. The methods employed have been optimized to examine the application of Genome Wide Association Studies with population based forensic investigations. Genome Wide Association Studies associated approaches have also been incorporated in routine clinical practice. Keywords: human genome project, genome wide association studies, genome, gene, research design Journal of Investigative Genomics Mini Review Open Access