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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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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

Avram J Holmes¹, Marisa O Hollinshead², Timothy M O'Keefe³

¹Center for Brain Science, Harvard University , Cambridge, MA 02138, USA ; Department of Psychology, Harvard University , Cambridge, MA 02138, USA ; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA ; Athinoula A. Martinos Center for Biomedical Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, MA 02129, USA.

Scientific Data

|July 16, 2015

Summary

This summary is machine-generated.

The Brain Genomics Superstruct Project provides a valuable dataset linking brain imaging, behavior, and genetics. This resource enables researchers to explore associations between brain structure, function, and cognitive traits in healthy young adults.

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Area of Science:

Neuroscience
Genetics
Psychology

Background:

The Brain Genomics Superstruct Project (GSP) aims to facilitate large-scale research into the connections between brain function, behavior, and genetic variations.
A comprehensive repository of neuroimaging and genetic data has been established to support this objective.

Purpose of the Study:

To release an initial dataset from the GSP, comprising structural and functional MRI scans, genetic information, and behavioral data from healthy individuals.
To provide the scientific community with high-quality, screened data for exploring brain-behavior-genetics relationships.

Main Methods:

Acquisition of T1-weighted structural MRI and resting-state functional MRI scans from 1,570 healthy participants (ages 18-35).
Collection of demographic, health, personality, and cognitive measures from participants.
Inclusion of test-retest reliability data from 69 participants.

Main Results:

The dataset includes cross-sectional MRI scans (structural and functional) and associated questionnaire data for 1,570 individuals.
Behavioral and cognitive measures are available for subsets of the participants (n=926 and n=892, respectively).
Data quality, structure, function, personality, and cognition analyses are presented to validate the dataset's utility.

Conclusions:

The GSP dataset represents a significant resource for investigating the interplay of genetic factors, brain characteristics, and behavior.
The presented data and analyses support the dataset's suitability for diverse research applications in neuroscience and related fields.