Topic 5 - Single Source Interpretation Flashcards

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1
Q

is a single sourced DNA profiles common or rare

A

rare

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2
Q

what is the chance of a coincidental match of a single source profile

A

very small

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3
Q

what 3 things can the value of the statistics of random match probabilities be reduced by

A

mixtures

incomplete profiles

relatives

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4
Q

would you expect to see a mixture in a reference sample

A

no

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5
Q

what is the overall question addressed when interpreting a complete single source profile

A

what is the chance that a randomly chosen, unrelated person would have the same DNA profile that we are seeing in the evidence sample

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5
Q

what must accompany a DNA profile in an expert witness report

A

a statistic - giving the profile a weight giving its value as evidence

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6
Q

where is it common to see mixtures in DNA profiles

A

in crime scene samples

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7
Q

what do the numbers represent for the alleles

A

the number of base pair repeats at the particular loci

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8
Q

what are the two things we do when comparing DNA profiles

A

see who can be a contributor and who can be excluded

using the reference samples

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9
Q

when can we exclude a reference sample from being a match to a DNA profile

A

when one or more alleles fail to match at any of the loci

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10
Q

when can we say a reference sample is a possible contributor to a DNA profile

A

when all alleles in the reference are also found in the scene sample all the loci

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10
Q

when do we not have to add a statistical attachment to a conclusion

A

when a sample is excluded as being a match

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11
Q

how is the weight of a DNA profile match assessed

A

using a statistical analysis

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12
Q

how can DNA evidence lead to wrongful convictions

A

DNA is transferred very easily and persists well so may be found where the individual the profile belongs to hasn’t been

DNA should be supported by other evidence types not solely relied on

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13
Q

when calculating loci frequencies what do we use

what does this calculation performed depend on

A

the product rule

if the loci is homozygous (alleles are the same) or heterozygous (alleles are different)

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14
Q

what is an underlying assumption made when we apply the product rule in calculating loci frequencies

A
  1. alleles inherited are done so independently within a locus and across loci - if this isn’t true we cant apply the product rule
15
Q

what principle forms the product rule used to calculate loci frequencies

A

the Hardy Weinberg principle

P^2 + 2PQ + Q^2 = 1

where P^2 is the freq of homozygous and 2PQ is freq of heterozygous

16
Q

what calculation is done to find the loci freq of a heterozygous locus

A

2PQ where P and Q are the allele frequencies in a given population found at the locus

17
Q

what calculation is done to find the loci freq of a homozygous locus

A

P^2 where p is the allele freq in a given population of the allele at the locus

18
Q

what is calculated after the loci frequency

how is this done

A

the profile frequency

done by multiplying all loci frequencies together

19
Q

what type of databases are used to get allele frequency data

A

allele frequency reference databases

divides into different populations e.g Caucasian

can use the national DNA database to create this database

20
Q

how do we get from profile frequency to random match probability

how is this written

A

1 divided by profile frequency

represented as 1 in the number

21
Q

when is random match probability calcualted

A

when we have single source, unmixed profiles

22
Q
A