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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.

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Related Experiment Video

Updated: Dec 14, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Responsible, practical genomic data sharing that accelerates research.

James Brian Byrd¹, Anna C Greene², Deepashree Venkatesh Prasad³

¹Department of Internal Medicine, Medical School, University of Michigan, Ann Arbor, MI, USA.

Nature Reviews. Genetics

|July 23, 2020

Summary

This summary is machine-generated.

This study clarifies the reasons, technical hurdles, and social challenges of data sharing in science. It emphasizes ethical considerations for participants and proposes aligning incentives to accelerate research.

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Area of Science:

Biomedical research
Data science
Scientific reproducibility

Background:

Establishing clear expectations and best practices for scientific data sharing remains a challenge for funders, researchers, and publishers.
Reproducible science relies heavily on effective data sharing, yet current guidelines are often vague.

Purpose of the Study:

To explore the rationales, technical difficulties, and socio-cultural barriers associated with scientific data sharing.
To examine the perspectives of various stakeholders, particularly participants in biomedical research, regarding data sharing.
To identify opportunities for promoting ethical data sharing practices that accelerate scientific progress.

Main Methods:

Stakeholder analysis within the scientific enterprise, with a focus on biomedical research participants.
Review of current best practices for sharing diverse types of genomic data.
Examination of ethical considerations, balancing research value with participant privacy.

Main Results:

Data sharing is crucial for reproducible science but faces challenges in implementation.
Ethical data sharing in biomedical research requires careful consideration of participant privacy and research value.
Aligning incentives among stakeholders can promote more effective and ethical data sharing.

Conclusions:

Addressing the technical, social, and cultural challenges is essential for robust data sharing frameworks.
Ethical data sharing, especially concerning participant privacy in biomedical research, needs clear guidelines.
Incentive alignment is a key strategy to foster data sharing that benefits the scientific community and participants.