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Related Concept Videos

Genomics02:02

Genomics

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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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Concrete's susceptibility to water absorption is due to the capillary action within the pores of its hydrated cement paste. This action draws water in, creating the need for waterproofing admixtures to prevent such penetration. The efficacy of these admixtures is contingent upon the water pressure, with variations arising from different conditions such as rain, capillary rise, or hydrostatic pressure in structures intended to hold water.
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Detection of Black Holes01:10

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Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
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Relative Risk01:12

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The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
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Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
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Updated: Feb 10, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Genomic Disaggregation Reveals Distinct Admixture Patterns and Cardiometabolic Risk Loci in Black Hawaiians.

Kasra Vand1, Nelson Badía1, Bohdan B Khomtchouk1

  • 1Department of Biomedical Engineering & Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University, Indianapolis, IN, USA.

Biorxiv : the Preprint Server for Biology
|February 9, 2026
PubMed
Summary

Genomic analysis of Black Hawaiians reveals distinct ancestry and cardiometabolic risks masked by broad racial categories. Disaggregating data is crucial for equitable precision medicine, uncovering population-specific genetic drivers of disease.

Keywords:
Black Hawaiianadmixturecardiometabolic diseasedisaggregationequitable medicinehealth disparitieslocal ancestrypopulation genomicssub-population

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Area of Science:

  • Genomics
  • Population Genetics
  • Precision Medicine

Background:

  • Broad racial categories obscure genomic diversity, hindering precision medicine.
  • Black Hawaiians (BH) face exclusion due to their unique tri-continental ancestry and health disparities.
  • Population-specific genetic risk factors for cardiometabolic diseases in BH remain unidentified.

Purpose of the Study:

  • To conduct the first comprehensive genomic analysis of the Black Hawaiian population.
  • To characterize the admixture, population structure, and demographic history of BH.
  • To identify population-specific genetic variants associated with cardiometabolic burden in BH.

Main Methods:

  • Whole-genome sequencing (WGS) of 287 Black Hawaiian participants.
  • Haplotype phasing, admixture analysis (ADMIXTURE, PCA), and local ancestry inference (RFMix).
  • Demographic history reconstruction (SMC++), genome-wide allele frequency differentiation (AFD), and EHR data integration.

Main Results:

  • BH exhibit complex tri-continental admixture (African, European, Native Hawaiian/Pacific Islander) with high heterogeneity.
  • Significant cardiometabolic disease burden observed, including hypertension and obesity.
  • Genome-wide AFD analysis identified population-specific genetic variants in genes like MYO9A and PEAR1, suggesting novel disease etiologies and pharmacogenomic implications.

Conclusions:

  • Genomic data disaggregation is essential for understanding population-specific health risks.
  • The Black Hawaiian genomic architecture and admixture patterns drive unique cardiometabolic risks.
  • Granular genomic resolution is necessary to achieve equitable precision medicine for diverse populations.