Stat Tutorial for Genetic Epidemiology

Through the study of the genetic data and the use of the stat tutorial quantitative measurements can be made into the how and why of common human diseases.  A stat tutorial in the field of genetic epidemiology is a means of compiling and studying theoretical and practical work in a statistical method.  The design and analysis of large epidemiological cohorts are incorporated into the statistics and determinations are made. 

Below is a list of useful links that will provide information required in putting together a stat tutorial for genetic epidemiologists.  The sites are informative and helpful in assisting with the examination of large quantities of genetic data with complex traits.  Many of the sites contain information on the background and reasoning behind genetics epidemiology as well as statistical methods on breaking down data.

·        Genetic Epidemiology Research Gate

The general research gate for science is found at this site and provides information pertaining to each field of science and medicine.  The site is a hub for research and a place where fellow experts can share the wealth of information they have obtained through careful study and methodology. 

The site also provides a place to get answers when obstacles are faced.  Experts may share their work and assist others in finding solutions to problems faced in genetic epidemiology.  There are currently over 900,000 members associated with the research gate.  Publications, journals and papers are available on the site and shared with the community.

·        Genetics.org

Owned and operated by the Genetics Society of America and founded in 1931, Genetics.org is a membership based site that offers published journals that are circulated monthly to its members.  There are over 2,000 libraries associated with this site globally and scientists and research academicians have access to a wealth of information.  The site is designed to be a helpful resource for research scientists as well as facilitate the communication between professors, academicians and scientists worldwide.  Statistical information regarding the study of genetics and epidemiology may be obtained from the Genetics.org website.

Annual conferences and symposiums in areas of specialty are advertised on the site and annual genetic epidemiology meetings including some of the most highly renowned specialists in the world take part in these conferences. 

·        International Genetic Epidemiology Society

The International Genetic Epidemiology Society or IGES is a scientifically based society that follows the mantra of its founding president Mr. James Neel.  Mr. Neel’s primary concern was how the study of genetics and its components related to biological phenomena.  Through the genome project and the successful mapping of the human genome it is believed that the study of health and human disease can be integrated.  The IGES site is focused on methodology developments and statistical analysis that enables the study and application of environmental factors in relation to humans and other populations.

IGES was founded in 1992 and today is recognized as the only international genetics society that is exclusively dedicated to the ongoing research and development of genetic epidemiology and stat genetics. 

·        National Center for Research Resources

The National Center for Research Resources is a subsidiary of the National Institute of Health and the Department of Health and Human Services.  The site acts as a helpful resource for human genetic analysis and contains publications, journals, research papers and other useful information for genetic epidemiologists and research scientists.  Research findings and news updates are current and continually updated on the site to remain current with what is going on in the genetic epidemiological field. 

A list of scientific resources is available on the site and provides information on a variety of genetic analysis sites.  Human genetic diseases are broken down in terms of statistical methods and data can be obtained and incorporated into other fields of study.   

·        HUM-MOLGEN

As unique as its name sounds, Hum-Molgen is one of the largest internet based sources for providing information on the most current information in human molecular genetics.  Acting as a hub for communication, Hum-Molgen allows scientists and researchers from around the globe to interact with one another and share common problems, visions, and work with like-minded individuals. 

The site operates with over 8,800 subscribers and growing.  Bulletin boards remain current on the website and provide information on news alerts, literature and publications.  Members are able to contact professionals in areas of expertise such as genetic epidemiology.

·        The Laboratory of Statistical Genetics

The Laboratory of Statistical Genetics provides data and methodology from graduate students and professors, research scientists and medical professionals from the Rockefeller University Laboratories.  The university’s statistical laboratory publishing data and information of current and up to date studies that is helpful to research around the globe.  Lists of genetic software used to set up statistical tutorials and methodology is available on the site.

Scientists from around the world obtain data from their research in epidemiology and must then analyze the information.  Analysis of Complex Traits software, as well as hundreds of other software components is available through the Laboratory of Statistical Genetics website. 

·        ALLEGRO

Allegro is decoding software that is used in the statistical analysis of genetic epidemiology data.  The software is a complete linkage package that provides analysis of genetic mapping.  Parametric and non-parametric LOD calculations can be determined through this software and is helpful in setting up a statistics tutorial and analysis of data collected.  The software is typically free to download for geneticists and research scientists and provides an informative and easy to understand methodology for studying large populations or families.  The source code language for Allegro is C++.