Genetics and Genomics

Inheritance, variation, and genome-scale biology — from Mendelian traits to population-scale sequencing.


foundation tier

Genetics and Genomics sits within biology and addresses inheritance, variation, and genome-scale biology — from mendelian traits to population-scale sequencing. The page below sketches the conceptual scope of the area, the methodological tools it relies on, and the recent literature anchoring its current frontier.

The area organises around a small number of recurring axes: scope (what biological scales the work spans), method (the dominant experimental or computational tools), data regime (what kinds of measurements are now routine vs. still frontier), and open questions (what the field cannot yet do reliably). The sources below cover different combinations of these axes.

Foundational references

Strachan, Human Molecular Genetics is a standard reference for the foundations covered here, used across the field to anchor terminology, canonical models, and the relationships between sub-areas of genetics and genomics. Treat it as the entry point to which the more specialised work below adds frontier detail.

Hartwell, Genetics: From Genes to Genomes is a standard reference for the foundations covered here, used across the field to anchor terminology, canonical models, and the relationships between sub-areas of genetics and genomics. Treat it as the entry point to which the more specialised work below adds frontier detail.

Griffiths, Introduction to Genetic Analysis is a standard reference for the foundations covered here, used across the field to anchor terminology, canonical models, and the relationships between sub-areas of genetics and genomics. Treat it as the entry point to which the more specialised work below adds frontier detail.

Open questions

Open questions in genetics and genomics cluster around scaling current methods to larger systems, integrating measurements across modalities, and producing predictive rather than descriptive models. The references above mark the work that the next iteration of this page should engage with in more specific detail.

Prerequisites

Sources

  • textbook · primary · 2018
    Human Molecular Genetics
    strachan-2018, read-andrew-2018
  • textbook · primary · 2020
    Genetics: From Genes to Genomes
    hartwell-2020, goldberg-michael-2020
  • textbook · primary · 2020
    Introduction to Genetic Analysis
    griffiths-anthony-2020, wessler-2020

In context

Where this topic sits in the prerequisite graph. Click any node to jump.

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Explore

  1. 01

    Genome-Wide Association Studies

    Statistical methods that scan the genome for variants associated with traits and diseases, and the deep-learning, time-to-event, and reference-panel work that is widening their reach.

  2. 02

    Mendelian Genetics

    Classical inheritance — alleles, dominance, segregation, linkage.

  3. 03

    Molecular Genetics

    Gene structure, mutation classes, and genotype–phenotype mapping at the molecular level.

  4. 04

    Human Genetics

    Inheritance and variation in human populations — pedigrees, monogenic disease, mosaicism.

  5. 05

    Population Genetics

    Allele frequencies, drift, selection, migration, and the Wright–Fisher framework.

  6. 06

    Quantitative Genetics

    Heritability, breeding values, and the genetic architecture of complex traits.

  7. 07

    Functional Genomics

    Linking sequence to function — perturbation, expression, and chromatin assays at genome scale.

  8. 08

    Comparative Genomics

    Cross-species alignment, conservation, and inference of gene function from evolution.

  9. 09

    Structural Variation

    CNVs, inversions, translocations, repeat expansions, and their clinical impact.

  10. 10

    Pangenomics and Reference Graphs

    Beyond a single linear reference — graph genomes capturing population-scale variation.

  11. 11

    Transcriptomics

    Bulk RNA-seq, differential expression, and global regulatory inference.

  12. 12

    Epigenomics

    Genome-wide profiling of chromatin states — ATAC-seq, ChIP-seq, CUT&RUN, methylation.

  13. 13

    Metagenomics

    Sequencing-based study of mixed microbial communities and environmental DNA.

  14. 14

    Genome Assembly

    De novo reconstruction of genomes from sequencing reads — overlap-layout-consensus and de Bruijn graphs.

  15. 15

    Variant Calling

    Detection of SNVs, indels, and structural variants from sequencing data.

  16. 16

    Transgenerational Epigenetic Inheritance

    Heritable epigenetic states across generations and their molecular basis.

  17. 17

    Mosaicism and Somatic Variation

    Post-zygotic mutations and their phenotypic and clinical consequences.

  18. 18

    Biobank-Scale Analysis

    Computational methods for UK Biobank, All of Us, and similar large-scale cohorts.


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