Quiz 4 Flashcards

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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
Q

coronary artery disease

A

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
Q

CAD risk factors

A

non modifiable: age, ethnicity, gender, family history
modifiable: overweight, unhealthy diet, inactive, tobacco, alcohol, high blood pressure, high cholesterol

27
Q

CAD diagnosis

A

blood, EKG, stress test, chest X ray,

28
Q

CAD treatment

A

lifestyle changes, medications, medical procedures,

29
Q

stroke

A

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
Q

stroke risk

A

increases as you get older african americans have highest risk between 40-60 years

31
Q

integrating personalized medicine into public health challenges

A

collaborative effort from many stakeholders, access to care, informed consent, genetic discrimination, overlooking environmental factors, health disparities

32
Q

precision public health

A

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
Q

two major themes of precision public health

A

big data
- omics
- imaging
- wearables
- web mining
- EMRs
- Geodata

targeted subpopulations
- by state, city, neighborhood
- by community (race, ethnicity, gender)
- condition. subcondition

34
Q

big data

A

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
Q

big data and technology

A

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
Q

three Vs of big data

A

velocity: speed of which data are available
variety: increasing range of types of source of data
volume: the amount of usable data

37
Q

big data public health interventions

A

understanding disease, identifying at risk populations, targeted interventions

38
Q

homogenous

A

making sure data is targeted but also inclusive

39
Q

defining subpopulations

A

identification of subpopulations, increased equity, increased healthcare maximization, but can lead to biased data, decreased equity, or decreased healthcare maximization

40
Q

genetic exceptionalism

A

the genetics are inherently special

41
Q

genetic reductionism

A

genetics solves all problems

42
Q

genetic determinism

A

genetics determines everything

43
Q

genetic essentialism

A

genes can provide definitions

44
Q
A