Allscripts’ CEO lays out genomics strategy
Allscripts CEO, Paul Black has announced the company&rsquo;s strategy at its user conference including news of a major $300m deal with genomics IT vendor, NantHealth LLC. The deal will combine NantHealth&rsquo;s &lsquo;intelligent operating system&rsquo; for precision medicine clinical decision making with Allscripts&rsquo; Sunrise EHR. Allscripts also hopes to merge the EHR system with NantHealth&rsquo;s genomic cancer system, to give clinical decision making in real time.
Genomics is the study of human genes and chromosomes. The human genome typically consists of 23 pairs of chromosomes and 24,000 genes. In medicine, genome and DNA sequencing -- determining the exact structure of a DNA molecule -- are done to learn more about a patient's molecular biology.

Genomic studies uncover the genetic makeup of patients, including their genetic differences and mutations. All of that information can be used to form a care plan specific to patients' individual genetic composition, rather than treating them with a one-size-fits-all approach.

What genomics is used for There are many applications for human genetics in medicine, biotechnology, anthropology and other social sciences. In medicine, next-generation genomic technology can collect increased amounts of genomic data. When this data is combined with informatics, it enables the integration of all this information. Doing so better enables researchers to understand drug response and disease based on genetics and also helps in the efforts to achieve personalized medicine. Mapping a human genome is time-consuming and produces a terabyte (TB) of unorganized data. As technology advances and that data becomes easier to store and comprehend, more healthcare providers will use it to diagnose and treat patients and create clinical decision support. Strides have been made in genome sequencing efficiency. It took Nationwide Children's Hospital in Columbus, Ohio, one week to analyze the same data set that was studied over 18 months during the 1,000 Genomes Project. That project was the first to sequence the genomes of a large group, an endeavor that could benefit population health management. Some pilot projects have targeted integrating genomics capabilities into providers' electronic health record (EHR) systems as their goal. Genomics is considered part of personalized or precision medicine, a model of healthcare in which providers customize treatment to fit each individual patient's needs and genetic configuration.

Genomics relies on DNA sequencing Whole genome sequencing entails determining the complete DNA sequence of an organism's genome. In order to do this, an organism's chromosomal DNA (and the DNA contained in the mitochondria and the chloroplast for plant studies) must all be sequenced. To sequence a genome, it must first be broken into lots of small pieces, and then the sequence of each small piece of DNA must be determined in order to figure out which pieces fit together. Original DNA sequencing centered on analytical chemistry and molecule separation techniques to determine the order of the sequence. People analyzed the sequences, which took up a lot of time. Evolutions in these techniques sped the process up, along with advances in machines that allowed far more DNA strands to be read at the same, partially thanks to automation and imaging technology. Today, sequencing instruments are also smaller and cheaper to use. With that sequencing comes massive amounts of genomic data -- perhaps 1 TB of data for a human genome. As a result, storage technology also plays a part in genomics from a practical standpoint. "Over the years, innovations in sequencing protocols, molecular biology and automation increased the technological capabilities of sequencing while decreasing the cost, allowing the reading of DNA hundreds of basepairs in length, massively parallelized to produce gigabases of data in one run," according to an article in the journal Genomics in 2016.

Types of genomics People are studying and experimenting with genomics for many different purposes. Here are examples of the different types of genomics: Structural genomics: Aims to determine the structure of every protein encoded by the genome.

Aims to determine the structure of every protein encoded by the genome. Functional genomics: Aims to collect and use data from sequencing for describing gene and protein functions.

Aims to collect and use data from sequencing for describing gene and protein functions. Comparative genomics: Aims to compare genomic features between different species.

Aims to compare genomic features between different species. Mutation genomics: Studies the genome in terms of mutations that occur in a person's DNA or genome.

Genomics and family assessments Family health history can often reveal important risk factors for common and chronic diseases. Creating a family history is an important part of preventive medicine as well as public health. Experts believe that family history assessments have several advantages, including lowering the cost of providing care, and a reflection of shared genetic and environmental risk factors. Performing genomic studies on family members can provide further clues on what diseases a family's gene pool may be more susceptible to.

Genomics, genetics and proteomics It is common for people ask about genomics vs. genetics and how they differ. The main difference is that genetics looks at how genes and their traits are inherited, while genomics looks at all genes -- in other words, the genome -- as well as their inter-relationships to identify their combined influence on the growth and development of the organism.

Learn more about the differences

between genomics and genetics. Proteomics is the study of the entire protein set -- the proteome -- coded by the genome of an organism or a cell type. While the genome in an organism is constant, the proteome varies. And while every cell in an organism has the same set of genes, the set of proteins produced differ and are dependent on gene expression.