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Quiz 4 Flashcards

(44 cards)

1
Q

why is diversity good

A

improves patient care, improves research participation and engagement, improves knowledge about biological, environmental, and social systems and their impact on health, is a right

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2
Q

lack of diversity among research participants

A

2009: 96% european ancestry
2016: 81% european ancestry

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3
Q

lack of diversity in the workforce because of

A

failure to meet requirements of admission, lack of awareness of career options, lack of role models, poor advising, cost, racism in training programs,

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4
Q

diversity impact on healthcare

A

greater potential someone is able to understand the culture, speak the language, and trusted by underserved communities. administration of culturally relevant information prior to research, culturally appropriate counseling, increased access to care and improved quality of care

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5
Q

diversity in the workforce suggested interventions

A

raising awareness, establishing holistic admissions, creating internship and shadowing opportunities, fostering safe spaces, providing mentorship, reimagining educational pathways, improving pay, influencing policy, engaging industry

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6
Q

silent genome project

A

reducing health care disparities and improving diagnostic success for children with genetic diseases from indigenous populations.

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7
Q

H3africa

A

aims to facilitate contemporary research approach to the study of genomics and environmental determinants of disease with goal of improving health in african populations

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8
Q

genomics aotearoa

A

collaborative research platform for genomics and bioinformatics

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9
Q

latin cells

A

human cell map of latin american diversity

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10
Q

ALIGN

A

Australian alliance for indigenous genomics

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11
Q

SING

A

summer internship for indigenous peoples in genomics

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12
Q

minority genetics professional network

A

address the limited racial and ethnic diversity among medical genetics professionals

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13
Q

personalized or precision medicine

A

emerging practice of medicine that uses an individuals genetic profile to guide decisions made in regard to the prevention, diagnosis, and treatment of the disease

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14
Q

need for personalized medicine

A

different diseases can have similar symptoms, 50% population will not respond as intended for any given drug, this approach encourages patient engagement, lower healthcare cost

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15
Q

personalized medicine goals

A

get the diagnosis right the first time, identify drivers of the disease, more precise and safer drug responses, reduce cost of treatments

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16
Q

P4 medicine

A

medicine should not be reactive and curative but should also be proactive intervening well before the onset of disease

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17
Q

mendelian traits

A

determined by single major gene, mutations in this gene sufficient for phenotype, predictable inheritable pattern, over 7000 mendelian diseases, individually rare but 400 million people have one

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18
Q

complex traits

A

results from variation within multiple genes and their interactions with behavioral and environmental factors, not specific inheritance patterns

19
Q

heritability h2

A

the proportion of variation in a particular trait that is attributed to genetic factors, it measures the fractions of variation between individuals in a population that is due to their genotypes, percentage 0-1

20
Q

twin studies

A

reveal the absolute and relative importance of environmental and genetic influences on individuals in a sample, compares the concordance rate of monozygotic twins to dizygotic twins

21
Q

GWAS heritability

A

measure of the proportion of phenotypic variance that is explained by all SNPs, calculated using a variety of stats methods and softwares, results can be used to predict disease risk in an independent population, only explain a small proportion of the heritability for complex human diseases

22
Q

polygenic risk score

A

will combine the effects of thousands of variants into a single score that represents an individual genetic risk for a particular disease, individuals with a high score may benefit from preventative measures

23
Q

missing heritability

A

only SNPs used, impact of other types of genetic variation, rare or not so common SNPs, epigenetic effects, limitations in study design, how was the disease defined

24
Q

cardiovascular disease

A

general term for range of disorders that affect the heart and blood vessels, leading cause of death globally 32% of all deaths in 2019, most costly disease

25
coronary artery disease
coronary arteries that supply blood to the heart muscles become narrowed of blocked, most common CVD, from gradual buildup of plaques on the artetry walls, can harden and reduce blood flow, symptoms may include angina shortness or breath and fatigue
26
CAD risk factors
non modifiable: age, ethnicity, gender, family history modifiable: overweight, unhealthy diet, inactive, tobacco, alcohol, high blood pressure, high cholesterol
27
CAD diagnosis
blood, EKG, stress test, chest X ray,
28
CAD treatment
lifestyle changes, medications, medical procedures,
29
stroke
leading cause of death and long term disability, higher burden of disease and mortality from stroke in african americans, IS- 85% of strokes HS 15% of strokes
30
stroke risk
increases as you get older african americans have highest risk between 40-60 years
31
integrating personalized medicine into public health challenges
collaborative effort from many stakeholders, access to care, informed consent, genetic discrimination, overlooking environmental factors, health disparities
32
precision public health
the application and combination of new and existing technologies which more precisely describe and analyze individuals and their environment over their life coarse to tailor preventative innervations.
33
two major themes of precision public health
big data - omics - imaging - wearables - web mining - EMRs - Geodata targeted subpopulations - by state, city, neighborhood - by community (race, ethnicity, gender) - condition. subcondition
34
big data
big data consists of extensive datasets - primarily in the characteristics of volume, velocity, variety, and variability- that require a scalable architecture for efficient storage, manipulation and analysis
35
big data and technology
the data itself and the technology that enables its generation use, and interpretation are often conflated AI and machine learning are terms often used used synonymously with the data used by them, bioinformatics too
36
three Vs of big data
velocity: speed of which data are available variety: increasing range of types of source of data volume: the amount of usable data
37
big data public health interventions
understanding disease, identifying at risk populations, targeted interventions
38
homogenous
making sure data is targeted but also inclusive
39
defining subpopulations
identification of subpopulations, increased equity, increased healthcare maximization, but can lead to biased data, decreased equity, or decreased healthcare maximization
40
genetic exceptionalism
the genetics are inherently special
41
genetic reductionism
genetics solves all problems
42
genetic determinism
genetics determines everything
43
genetic essentialism
genes can provide definitions
44