6. Genetics Flashcards

(21 cards)

1
Q

What is the human genome?

A

The complete set of nucleic acid sequences encoded as DNA in humans
Organized into 23 chromosome pairs (46 total chromosomes)
Comprises approximately 3 billion base pairs

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2
Q

How similar is the human genome across individuals, and what portion explains our differences?

A

Humans share > 99% identical DNA sequence
The remaining < 1% variation underlies individual differences in physical and psychological traits

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3
Q

What are alleles, and how do they influence protein function?

A

Alleles: Alternative versions of the same gene
Different alleles can lead to:
Altered protein shape (affecting function)
Changed protein quantity (affecting expression level)

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4
Q

What are the three main scales of genetic variation in the human genome?

A

Large scale:
Whole-chromosome number changes (e.g., trisomy)
Partial rearrangements (e.g., translocations, inversions)

Medium scale:
Copy number variations (CNVs)
Insertions and deletions of DNA segments

Small scale:
Single nucleotide polymorphisms (SNPs): single-base substitutions

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5
Q

why do we think genes may influence individual differences in complex traits/behaviours

A

Twin studies, adoption studies, molecular genetic studies
-Twin studies don’t tell you about the actual genes involved, but the genetic influences which account for variance on a trait

  • Identical twins – share all of their varying DNA
    > Monozygotic (MZ) twins look more similar to each other -> higher intraclass correlations than dizygotic (DZ) twins. DZ twins are about half.

> Applies to measures of cognitive development / psychiatric traits.

  • Non-identical twins – share 50% of their DNA
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6
Q

Heritability

A
  • a measure of the extent to which differences in people’s genes account for differences in their traits
  • Heritability estimates derived from twin studies, are the sum total of all genetic variation
  • Including ‘de novo’ mutations – i.e. genetic effects that are not necessarily inherited from parents
  • Heritability estimates do not apply to a single individual:
    > If a trait is 45% heritable, it means that 45% of individual differences in that trait are accounted for by genetic differences between individuals
    > It DOESN’T MEAN that there is a 45% probability of a particular trait for a single individual
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7
Q

What did Langström et al. (2010) find about the heritability of same-sex sexual behavior?

A

Heritability estimate: ~20–40% in Western twin samples
Interpretation:
- 20–40% of variance in same-sex behaviour across individuals is due to genetic differences

Clarification: This is not the probability for any one person to be gay

Remaining variance: Attributable to individual-specific environmental factors (including biological ones like prenatal hormones)

Note: Simple heritability doesn’t capture gene–environment interplay

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8
Q

Why haven’t molecular studies matched twin-study heritability estimates for sexual orientation?

A

Missing heritability: Identified genetic variants explain less variance than twin estimates predict

Polygenic architecture: Many genes each exert very small effects

Implication: Enormous sample sizes needed to detect these small-effect variants

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9
Q

What were the key findings of Ganna et al. (2019) on same-sex sexual behavior?

A

Highly complex genetics: No single “gay gene”

Additive effects: Many genome-wide variants each contribute a tiny amount

Sex overlap: Some shared, some sex-specific variants

Examples in men: Variants linked to olfaction genes and androgen sensitivity

Prediction: Genetic predisposition cannot reliably predict an individual’s orientation

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10
Q

Do genetics support a single continuum (Kinsey scale) from opposite-sex to same-sex preference?

A

Genetic evidence: No single dimension underlies sexual orientation

Interpretation: Orientation likely reflects multiple, independent genetic and environmental influences rather than one linear scale

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11
Q

What do genetic studies tell us about gender identity?

A

Heritability: Twin and family studies suggest moderate to strong genetic influence

Molecular data: No robust gene-level findings yet

Environmental factors: Poorly understood—could include prenatal hormones as well as social experiences

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12
Q

Ethical considerations of genetic considerations into human sexual orientation and gender identity.

A
  • behavioural genetics: is the science robust
    • Depends on the trait that has been studied
      • Many findings more robustly replicated in the field of behavioural genetics than in other fields
    • Problem with lack of diversity in populations that have been studied
    • Lack of diversity among researchers…
  • fear of eugenics, discrimination and stigma, medicalisation, changing and selecting traits, impact on legal system etc.
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13
Q

Eugenics/ ‘well born’

A
  • Eugenics (“well born”) is the idea that humanity can be improved using selective breeding
  • Murky past of behavioural genetics
    • Eugenics movement linked to the establishment of behavioural genetics as a field
    • Founders racist
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14
Q

Effects of ‘active’ eugenics.

A

early 1900s: “Positive” eugenics – designed to increase fertility of those deemed to be fit; Negative eugenics – designed to decrease fertility of those deemed to be unfit

1920s+30s: compulsory sterilisation of the unfit in some countries; Nazi Germany selective breeding of racially pure, killing of children and adults in institutions

1960s: Continued sterilisation on eugenic grounds in some countries (e.g. Canada and Sweden)

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15
Q

Passive Eugenics

A
  • Policies not designed to actively discourage reproduction, but are in favour of maintaining a particular ‘status quo’
    • E.g. cis-women are the ones who carry a child and give birth
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16
Q

Fundamental problem with eugenics

A
  1. Fails to acknowledge the pluralism of values and is overly optimistic about our status as ‘designers’
    • Eugenics is often based on a limited number of people’s beliefs and attitudes about ‘better people’, as well as limited and biased data
    • Selecting for one trait may reduce fitness in other areas
    • Genetics of complex traits probabilistic, not deterministic
  2. Violations of reproductive freedoms
    • This has occurred in the past (e.g. Sweden)
17
Q

What historical and conceptual concerns prompt calls to stop behavioural‐genetics research?

A

Eugenics legacy: Misuse of genetic ideas to justify discrimination and forced sterilisations

Genetic determinism: Fears that traits will be seen as “fixed” and used to “blame biology”

Misapplication: Risk that findings could underpin coercive “biological solutions” (e.g., conversion therapies)

18
Q

What do we actually know about genetic influences on behaviour?

A

Probabilistic not absolute: Genes shift likelihoods; environment also shapes outcomes

Heritability confusion: Heritability estimates are about populations, not individual certainty

Gene–environment interplay: Simple models ignore how genes and environment interact over time

19
Q

What are the main ethical concerns around modifying genetically influenced traits?

A

Preemptive modification: Fear of using genetic info to “tweak” behaviour or personality

Gene therapy overreach: Gene editing for complex, multifactorial traits lacks scientific support and poses risks

Prenatal selection:
PND/PGD acceptable for serious monogenic diseases (high predictive certainty)
Unacceptable for normal‐range traits (low predictive value, ethical “slippery slope”)

20
Q

How should researchers guard against misuse when studying behavioural genetics?

A

Transparent aims: Publish clear rationales—aim to understand or treat, not “enhance” or “improve” traits

Inclusive teams & fair funding: Ensure diversity among investigators and equitable access to research leadership

Community engagement: Involve stakeholders, ethicists, and affected groups in setting priorities

21
Q

What best practices ensure ethical communication and oversight of behavioural‐genetics research?

A

Responsible reporting: Emphasise probabilistic nature of findings; avoid “gene for X” headlines

Robust review: Ethics boards evaluate potential harms, especially around selection technologies

Data governance: Protect against data misuse, reidentification, or discriminatory applications