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What factors are important when selecting human research participants?
Biological Factors:
Age, developmental stage
Health, ability, addiction
Sex/gender, sexual orientation
Race, ethnicity
Non-biological Factors:
Occupation, work status
Socio-economic status
Education, family
Political views, religion
What is the reproductive binary and its exceptions?
XX and XY chromosomes define sex at birth
Sex chromosome anomalies exist (XXY, XXX, Turner syndrome)
Intersex individuals may have anomalies in sexual organ development
Environmental factors shape gender identity
Gender/sex reflects interdependence of biological and social processes
What are the key points about IQ and gender differences?
Environment, parent education, school type explain most variance
IQ tests have high reliability but limited validity
Scores can increase with training
Gender similarity hypothesis: despite biological differences, psychological traits are very similar between men and women
Alternative theories exist (dynamic assessment, multiple intelligence)
What is the history of genetic research and its misuse?
19th century: Evolution theory, Mendel's experiments
20th century: Quantitative genetics, molecular genetics
Eugenics movement misused genetic concepts
Scientific racism has deep societal impact
Opposition to eugenics increased after 1925
Supremacy ideas persist today
What is genetic variation and how is it measured?
Measurement Methods:
Biometry: measures observable traits
Genomics: searches DNA for markers
Uses markers like short sequences, repeated sequences, SNPs
Requires computational analysis
Causes of Variation:
Spontaneous DNA changes
Environmental conditions
Genetic recombination
Multiple variants in populations
Genetic admixture between populations
What did the Human Genome Project reveal about race?
Race is a social construct, not biological category
Higher genetic variation within populations than between them
Term 'race' in genetics is:
Unnecessary (population/cluster more accurate)
Dangerous (can lead to racism)
Different countries categorize populations differently
How do genome-wide association studies (GWAS) work?
Benefits:
Uses SNPs as markers
Examines whole genome
Reveals polygenic traits
Useful for health applications
Limitations:
Requires many sequenced genomes
High false positive rate
Difficult to interpret non-coding DNA
Ethical challenges in representation and data use
What is the evidence for human migration patterns?
Major Migration Waves:
300,000 years ago: across Africa
150-80,000 years ago: Middle East & Eurasia
60-40,000 years ago: reached Australia
20,000 years ago: reached Americas
Evidence from:
Mitochondrial DNA
Mixed diet patterns
Cultural innovations
Genetic admixture