Intro to Forensic Statistics - Promega

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The Hardy-Weinberg principle states: that single-locus genotype frequencies after one generation of random mating can be represented by a binomial (with two alleles) or multinomial (with multiple alleles) function of the alleles frequencies. This mathematical model serves as our Null Hypothesis when comparing populations, demes etc.
Hardy - Weinberg Equilibrium A 1 A 1 A 1 A 2 A 2 A 2 p 1 2 2p 1p 2 p 2 2 freq(A 1 ) = p 1 freq(A 2 ) = p 2 A 1 A 2 A 1 A 1 A 1 A 1 A 2 A 2 p 1 2 p 1p 2 p 1p 2 A 1 A 2 p 2 2 A 2 A 2 (p 1 + p 2 ) 2 = p 1 2 + 2p1p 2 + p 2 2
Page 1 and 2: Popstats Unplugged 14 th Internatio
Page 3 and 4: Why so much attention to statistics
Page 5 and 6: Statistical Analysis Focus on the q
Page 7 and 8: So, what are we really after? Quant
Page 9 and 10: Terminology Genetic marker variant
Page 11 and 12: POPULATION DATA and Statistics DNA
Page 13 and 14: Because data are not available for
Page 15: Population database Look up how oft
Page 19: You can get other population databa
Page 24 and 25: Anchor principle Analysis of geneti
Page 28 and 29: A Hardy-Weinberg Population LARGE P
Page 30 and 31: Product Rule The frequency of a mul
Page 32: D3S1358 = 16, 16 (homozygote) Frequ
Page 35 and 36: ProfIler Plus Item D3S1358 vWA FGA
Page 38 and 39: VWA = 15, 17 (heterozygote) Frequen
Page 40 and 41: Steps - Single Sample Target Profil
Page 42 and 43: Minimum allele frequency The first
Page 44 and 45: Minimum allele frequency This metho
Page 46: This estimate is strictly driven by
Page 51 and 52: Population Subdivision We've always
Page 53 and 54: Problems created by population subd
Page 55 and 56: National Research Council Report II
Page 58 and 59: Modifying the product rule Use corr
Page 60 and 61: HWE: NRC II, 4.4a: NRC II, 4.10a: [
Page 62 and 63: Theta Values Commonly Employed 0.01
Page 64: This is the default using 0.01 θ
Page 68 and 69: θ = 0.01 θ = 0.03
Page 73 and 74: Ok…so lets look at our other main
Page 75: Here it is using the default of 0.0
Page 79 and 80:
θ = 0.01 θ = 0.03
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Well, We report them of course! But
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So, how do you want to express this
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Even Bigger Number Names: 1 x 10 36
Page 87 and 88:
To address uniqueness we are back t
Page 89 and 90:
Define the Question Estimates of th
Page 91 and 92:
Uniqueness / Source Attribution Web
Page 93 and 94:
Uniqueness A profile that exists in
Page 95 and 96:
Source Attribution • Specify (1-
Page 97 and 98:
The standard basis that is used her
Page 99 and 100:
So with our PopStats results obtain
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“To a reasonable degree of scient
Page 103 and 104:
Source Attribution • Method is si
Page 105:
Random match probability is NOT Cha
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Intro to Forensic Statistics - Promega

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