• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/101

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

101 Cards in this Set

  • Front
  • Back
PCA (principle componants analysis)objectives
two- or three-dimensional plots representing genetic distance adding a third demension
Advantages of PCA in genetic analysis
the ability to add a "z" dimention and evaluate more than two variables
% variance explained by factor (component) loadings
tells the percentage of genetic variation caused by a specific factor- which genes are causing what variation
factor loadings
reflect the strength of the correlation of each variable on its respective principal componant
Graphing PC factor scores
creates a third deminsion "Z" points in 3D space maps out the relationship in distance
Limitations to PCA
only so many variables can be explained before the information becomes confused
Global climate data and PCA patterns
95% of varience explained by climate with the biggest percentage at climate, but most variation appears to be neutral
Global genetic data and PCA patterns
oldest populations will accumulate the most genetic variation-- Africa consistant with the out of Africa theory
Objective of Clustering analysis
makes groupings of populations based on their overal similarity to each other depends ongenetic similarity to other groups as well
advantages of tree structure
multivariate patterning
based on heirarchical patterns similarities and differences
based on average pair-wise differences in traits
Topology
the branching difines different relationships with similar beginings
Branch lengths
shorter or longer tells the relationship between groups similarities or differences
Global gene Tree Patterns (nDNA)
The time of divergence from evolutionary line and genetic variation
Global gene Tree patterns (mtDNA)
broad scale regional differences are robust but with in group variation is considerable
Bergmann's Rule
with in endothermic species average body mass increases with lat and colder climates
Allen's Rule
with in endothermic species average with latitudinal and colder climate
environmental Stress
can cause different forms of plastic responses or evolutionary adaptive change
Homeostasis
maintains internal equilibrium through physiological processes
Body Weight
the moist crucial driving mechanism between it and stature
Body weight and skin surface area
smaller skin surface to volume ratio which means less loss of heat in cold environments
Body weight, stature & partial r
stature is a component of body weight and body weight is more highly correlated with temperature than temperature is
Cylindrical Model
Ruff--changes in height have no effect on surface area/mass, while changes in breadth always affect surface area/mass
Cold, basal metabolic rate & food intake
cold temperatures allow for higher storage capability of energy meaning fat so there is a slower metabalization of food
bi-iliac breadth
the higher the latitude the wider the breadth-- connected with Ruff's model
Correlation (r)
Correlation coefficient = strength of data association-- the tightness of the data points around the best fit line
R squared
coefficient of determination the amount of variation in y explained by x good to be higher than .5--the prediction of the y variable according to x
ECV measurments
max cranial length
max cranial breadth
max cranial height
cephalic index
measurements of relative head width breadth/lengthx100
ECV: Breadth, height, length contributions
breadth contributes the most cc-- variation in size has to do with breadth-- rounder heads in cold environments minimizes heat loss
ECV & Latitude
gets large the higher the latitude is.
Ecv and Climate
brainsize is a secondary effect of climate and body size rounder heads in cold environments minimizes heat loss
ECV and Bergmann's Rule
Rounder heads in cold environments minimizes heat loss
New world v old world
new world has a steeper cline than old world
recent human sex dimorphism
females smaller than males
ECV and body size correction
brain size is a secondary effect of climate and body size it is a secular trend that has predictable changes in body size but the temp. doesn't really change
ECV ranges v. Standard Deviations
while females start with smaller numbers the SD of males and females is about the same
Altiplano and Himalayan highlands
Highland areas with highly adapted populations
Barometric pressure and altitude
barometric pressure decreases as altitude increases causing a decrease in percentage of arterial oxygen saturation
Arterial oxygen saturation and altitude
significantly drops after 30,000 feet above sea level non linear
other environmental stressors connected with high altitude
wind, cold, dry air
Hypoxia
drop in the ability to provide red blood cells to where it needs to go
fertility and altitude
drop off in fertility at high altitudes high correlation Peruvian provences
Infant mortality and altitude
high in children under 5 upper respiratory infection
acclimation
short term physiological changes that occur quickly after exposer to a stressor (Sweating)
Acclimatization
physiological changes that occur over a long period of time (increase in red blood cells when going to high altitude)
developmental acclimatization
physiological changes that occur during the childhood development phase
Developmental plasticity
the possible variation that can occur without genetic mutation changed by the environment capacity to respond physically or developmentally
Adaption through natural selection
change in traits across generations,genetic transmission of traits,high fitness traits, high selective coefficients of traits
Stature, chest circumference and altitude
circumference is greater in high altitude populations, AP enlargement, elongates sternum dramatically, consistent with the cylindrical model
Limb length and altitude
Stature is significantly shorter in high altitude population in all ages
Nasal Index
NI= nose breadth/nose height x 100 broad v. narrow nose
absolute Humidity
the actual amount of moisture in the air
relative humidity
the amount of moisture the air can hold
nasal mucosa and respiratory function
breath in moisten and heat the air and the tissue recaptures the heat and moisture on the way out
nasal index and nasal projection
the change is in the upper nose not the bottom
nose form and overall face shape
nasal breadth is not as variable as nasal height
sexual dimorphism in nasofacial size and shape
no sexual diamorphism in cranial facial shape
nose form and convergent evolution
the upper internal nose relects the outer nose
nose shape and size
size free log shape variables LOG 1V - geometric mean = LOG shape VI -size doesn't add in
Within-group variation & centroid distance
there is more in group variation than there is compared out side group
Africa & effective population size
is much more diverse and any other population
Howell's cranial data set
57 clear measurements with 28 regional samples in situ occupation wide geographical representation
cranial trees
Africa and Australia are grouped separately Asia new world Europe-original core geographic groups
gene trees
cranio tree result is clustered differently than the gene tree possible environmental issues- after it is adjust the effective pop size for africa they are identical
removing climatic effects on cranial form
describes how traits behave under neutral evolution
positive and negative assortative mating
mate with people like themselves or with people not like themselves
Heterogeneity:humans vs. mammals
compared to large bodied mammals there is less variability
Heterogeneity: Human vs. Chimpanzees
humans are less genetically variable as compared with chimps in within group variability larger human populations that chimps
heterogeneity: implications for gene history
A sever bottle neck or humans have a much younger history than chimps
language classifications
language families follow genetic families
geographic distance
population and language difference due to the geographical difference--expansion out of Africa
Demic expansion
eventually a popuill out strip the environment and will have to move or die fewer people more resources repetes over and over again and gene flow begins with the moving populations
Neutral Traits
non plastic not changed by environment
History of North American Slave trade
western Africa most went to south america brought to carolinas
Neolithic Revolution
Farming
European expansion and colonization
moved in to africa spreading genes in a unidirection flow white males to african females
Epidemiological transition
better health care less infection
arithmetic v. exponential population growth
exponential population growth stared with the industrial revolution
future demographic trends
continued population growth
Life expectancy evolution
Women live longer than men, and the age is getting higher and higher without plateau
secular changes in height
growth changes in a few generation and reflects changing environmental conditions especially nutrition: increase in protein milk products and diminishing cyclical starvation
Secular changes in growth: menarche
related to diet, substantial age decrease, increases reproductive potential--plateau's at a certain age however
shifts in leading causes of death
with the epidemiology revolution deaths shift from infectious disease to heart disease, cancer
U.S. obesity trends 1985-2006
not uniform ally distributed but a growing number nationwide led by specific states (Alabama)
new World Syndrom
an adaptive strategy for those crossing the Bering Strait to store food. Now causing wide spread obesity and diabetes in very young individuals
Geographical origins of U.S. African Americans
West Africa
N. American Slave Trade beginnings
Started most heavily in the carolina's
Peak period of slave trade
1800's
peak of Euroamerican admixture
The 1800's
Census counts of admixture
Not until 1850
allele estimates of admixture
average admixture at 15%
African Americans as morphological African proxies
The groups are significantly different from one another
Perturbed populations and natural selection
African americans are an example of a climatically porturved population...moved from tropic to temperate do the insides reflect that
Nasal surface area (SA) to volume (V) ratio
the tool used to compare african american populations to african populations
Franciscus & Foster admixture study
relative % of closeness of allele frequencies to West Coast Africa reflect ancestry with africa with average admixture of 15% must fix for admixture
Discriminant function (DF) analysis
tries to find a threshold that takes out people that do not belong in the sample, minimized the number of people misclassified,maximized the differences
DF results for African-American sample
highly validated classificatory result, proved a level of admixture...must used africans to study africans
Log vs. Log shape results
Derivation of size free log shape variables

must get rid of size to accurately figure out stuff
Nasal indices and latitude
Higher the latitude the more narrow the nose
Nasal indices and climate
wide = humid
narrow= dry
intrinsic variation in nasal breadth and height
CV=SD x 100-cv coefficient of variation