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How do we categorise P in psychological research
Biological
Age, developmental, reproductive stage
Health, disability, addiction, physiological state
Sex/gender, orientation
Race/ethnicity
Not Biological
Occupation, work status, leadership
Socio-economic status
Education, family
Political views, religion
Sex/gender binary
historically aligned with sex chromosomes
XX or XY
Defined sex at birth
egg/sperm parent
male/female
Challenges to traditional deterministic view of sexual differentiation in humans
Sex chromosome anomalies have various symptoms
Intersex individuals
Wide individual variation in traits is not dimorphic
Gender/sex
Wide individual variation in traits is not dimorphic
different experiences during development & social/physical/pre-birth physiological environmental factors
gender identity/sexual preferences & behaviours may not align with reproductive binary
Sex chromosome anomalies have various symptoms
Klinefelter syndrome & Triple X syndrome (XXY & XXX)
Turner syndrome individuals (X chromosome missing)
Intersex individuals
mild-severe anomalies in the development of sexual organs in newborns with intact two sex chromosomes
Gender/sex binary & intelligence
IQ tests devised 120 years ago & repeatedly revised
High statistical reliability → limited validity
Subjects can increase IQ scores with training
Alternative theories
dynamic assessment testing proximal development of children
multiple intelligence theory
IQ studies select a range of tasks
correlate scores to calculate “g” factor that is then correlated with binary gender/sex IV making inferences about biological processes in the brain or genes
why does understanding genetics accurately matters
“Careless use of genetical concepts can go astray “
Weiss & Lambert (2011)
Why nature-nurture is a wrong
Nature-nurture debate is considered a fallacy
a conceptually deficient & biologically implausible dichotomy
oversimplifies the dynamics of behaviour and development
Honeycutt (2023)
done more harm than good
Goldhaber (2012)
Researcher bias & Ethics
Categories of participants
IV in planned comparisons
DV in multivariate analysis, structural equation modelling, path analysis
Demographic information to check for biases in selection of subjects, contextualization of findings or post-hoc comparisons
What is a genome
Genes (2%)
protein-coding DNA sequence
Mutations in the genome
Non-coding DNA (98%)
Functionally important
Contributes to complex genetic architectures in which genes are embedded
Physical and social environment, nutrients
Genome is all of the DNA present in each cell of the body
Somatic cells
Germline cells
Somatic cells
Gene-environment interactions
determine all body and cell functions in every moment of an individual’s life
Germline cells
Reproduction & inheritance of traits
Gene-environment interactions influence the development of an individual’s offspring
inheritance of traits
Genetic variation in individuals of the same species
variation of an individual’s genome
Measurements of DNA sequences to identify genome variations at different levels
measuring genetic variation
Causes of variation of an individual’s genome
Multiple variants occur in different frequencies within/between populations
DNA is recombined during egg & sperm production (genetic reshuffling)
Over time parental DNA mutates
Different environmental/diseases/genetic factors between populations change the distribution in population over time
Measurements of DNA sequences to identify genome variations at different levels:
between individuals (individual variation)
from all individuals in an area (within-population variation)
from populations in different areas (between-population variation)
Measuring genetic variation
Biometry & quantitative genetics
measure observable traits (height, enzymes)
Genetics
differences between chromosomes & DNA sequences of selected genes
Genomics
Search for markers of genetic loci in DNA sequences
include both genes & non-coding DNA:
short sequences
repeated sequences
single base pairs (SNPs) that are sites of single-nucleotide polymorphisms
history of human genetic research
19th century → Theory of evolution, Mendel’s breeding experiments, biometry
20th century → Mendelian laws of inheritance and quantitative genetics, biometry, the emergence of molecular genetics
1980-21st century → PCR test, age of genomics, HGP
Human Genome Project (HGP 1984-2004)
International research → aimed to map all the human genes completely
Full sequence in 2001-2004, cost $2.7 billion
Established Bermuda Principles:
making all human genome sequences available in public databases within 24 hours
Natural human sequences cannot be patented
Ethical concerns of the human genome project
indigenous populations are societally most disadvantaged
stand the least to benefit from resulting novel scientific discoveries & healthcare improvements
Silent Genomes Project (Canada) since 2018
Aotearoa Variome Project (New Zealand) since 2018
initiatives focusing on genome diversity
Human Genome Diversity Project also launched in the 1990s
HapMap Project since 2003
Genographic Project (National Geographic) since 2005
1000 Genomes Project since 2008
The Cancer Genome Atlas (TCGA)
example of quantitative genetics & presumed simple morphological trait
Human height
heritable & polygenic trait
Studied using biometry/quantitative genetics → genomic research = high complexity of genetic interactions & role of biologically relevant genes/non-coding DNA
shrinking body heights during the Industrial Revolution
Discovery of cyclic changes in height during Industrial Revolution
growing economies but sizes shrinking
Shortage of workers as labour intensified → economic incentives for research on the biological causes of height variations
The natural sciences during the industrial revolution in europe
1785: Hutton
1798: Malthus
1809: Lamarck
1831: Darwin’s voyage on the Beagle
1833: Lyell
1854: Humboldt
1859: Darwin’s On the Origin of Species
1866: Mendel (rediscovered in 1900)
Quantitative genetics - Measuring correlation between traits
Measuring body/differences
Anthropometry - measuring variations in body, head, face
Correlation with racial categories, behavioural/psychological traits
Galton (1888) correlated head size vs degree results → claimed strong relationship & proposed later the concept of generalized mental ability
Quantitative genetics - Using pedigrees to trace heritability of traits
Broad population surveys & case studies
Trace differences in mental, personality/behavioural traits through IQ tests, genealogy or surveys of mental illnesses
Galton → eugenics→ concluded the pedigrees of rich families with superior intelligence/abilities are heritable
Supported beliefs of racial segregation & Study of “defective”
Pedigree chart → misuse in professional sphere to general popular culture
Misuse of Darwin’s theory of evolution
Darwin’s theory of evolution - diversity of species on Earth & how species with different adaptations appear and disappear
Misplaced morality and Social Darwinism - evolution is not the ”survival of the fittest”
Misconception of selective (human-driven, artificial) breeding as evolution
Natural selection is not
Goal-oriented
optimise traits & results in progress
remove variation/prevent individuals from reproducing
Scientific racism in theory and action formally denounced only after WW2
Scientific racism→ deep impact on society
Nazi Germany - concentration camps, forced sterilisations, ethnic cleansing & holocaust
First compulsory sterilization laws (1907-1927) in USA
Crimes against humanity & genocide deploy simplified wrong claims about natural selection/biological “superiority”
Pseudoscience → seemingly objective justification for colonisation, slavery & social policies that control/limit opportunities & rights of those considered “inferior”
Long-lasting impact of half a century of eugenics and race science
Opposition to eugenics & race science amongst scientists/society disputing the theoretical claims + generated disproving evidence
Numbers & visibility of opponents amongst scientists started to increase after 1925
Supremacy ideas persist → claim to show modern evidence or confirmation of data from eugenic studies
Race categories have no biological basis
Inheritance is not simply blending the characteristics of egg & sperm
Variation in skin pigmentation is highest on the african continent → paucity of studies in Africa
Race is real but a social construct
Inheritance is not simply blending the characteristics of egg and sperm
Genomics → Most trait variations are polygenic
Skin is the largest organ → colour highly variable & complex trait
Complex relationship between genes determining polygenic inheritance
variation due to
genes regulating amount of melanin in the melanocytes of the skin → limited to only some variations
biological sex, changes in different environments, during disease or pregnancy
Variation in skin pigmentation is highest on the african continent
Correlation between UV-levels and adaptive selection for lighter skin
Studies on genetics of skin pigmentation in European populations
Research on skin color variation in Africans identifying novel pigmentation genes
Spectrophotometry for accurate melanin level determination
San people of South Africa with lightly pigmented skin and oldest genetic lineages
lack of studies in Africa
Earliest humans in Africa 200 000 years ago → time to accumulate largest genetic diversity
Overdue to study much more human genetic diversity of populations on the African continent
Race is real but it a social construct
Race = social & cultural construct
not a biological category
scientifically evidenced that ‘biologically distinct’ races are obsolete
Genetic variability primarily due to differences among individuals within populations
Differences between populations account for a small part of genetic variability
Genomics research use of term ‘race’ in relationship to genetic variation is:
unnecessary & dangerous = racism
used to establish social hierarchies & slavery
Ancestral genetic variation, migration and selection pressures in human population
mTDNA tests
ancestry
homosapeins
mTDNA tests
Whole-genome sequencing is expensive
Mitochondrial DNA (mtDNA) sequencing is cost-effective
Share very similar mtDNA with close relatives → Inherited from egg (maternal inheritance)
is an important genetic marker in human research
Nuclear genome
3.3 billion DNA base pairs (93% non-coding DNA)
Mitochondrial genome
16,569 DNA base pairs (3% non-coding).
benefits of mtDNA sequencing:
No recombination
High mutation rate
High number of copies in a cell
Ancestry - long story of migration of modern humans & genetic admixtures
Genetic variation provides information on population’s ancestors, whether modern humans interbred with other human species
DNA analysed:
Mitochondrial DNA
Y-chromosome
SNP mapping
homo sapiens
a migratory species compromising of several interlinked populations in Africa (connectivity changing over time)
Early human species dispersed/migrated overcoming geographical isolation
no physiological reproductive barriers that prevent admixture
Mixed diet, cognitive functions & cultural innovations enabled humans to survive in many different environments/change them
Immunological changes in the genomes of human population
Migration exposes groups of humans to new environments & diseases
60% mortality amongst Dutch colonists → typhoid
Infectious diseases killed individuals in 59 indigenous communities of Amazonia in the past 200 years
mortality rate decayed over time due to genetic adaptation
HIV transmission from apes to humans in 1920s
Spread out of Africa from 1960s
Mutation found in 14% of European populations
Mutation not found elsewhere