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Introduction to GWAS analysis Analysis of linkage patterns among chromosome-specific genetic markers to infer genotype / phenotype correlations Based on.

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Presentation on theme: "Introduction to GWAS analysis Analysis of linkage patterns among chromosome-specific genetic markers to infer genotype / phenotype correlations Based on."— Presentation transcript:

1 Introduction to GWAS analysis Analysis of linkage patterns among chromosome-specific genetic markers to infer genotype / phenotype correlations Based on DH Hamer et al. (1993) Science 261: 321 Disclaimer: The study and data are presented as a conceptual framework for understanding linkage and LOD analysis. No opinion is expressed as to any inferences from the results of that study. Steven M. Carr Dept of Biology Memorial University of Newfoundland St John’s NL A1B 3X9

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3 Conceptual considerations of Study Design QTL (Quantitative Trait Loci) Linkage phenotype influenced by multiple gene loci in linked region Linkage: genetic markers in region ought to be linked with phenotype Hypothesis of X-linked inheritance => simplifies search to X chromosome Pedigree analysis of pairs of brothers Given a heterozygous mother Identity by Descent [D] inferred from same X alleles Discordance [n] inferred from different X alleles Otherwise, Similarity by State [S] may be same X allele Logarithm of Odds (LOD) calculation Z 1 = likelihood(D), given observed data (allele frequencies) LOD = ln[ Z 1 / prob(null)], where p(null) = random expectation Likelihood: Conditional probability, given a priori evidence Roughly: is I by D significantly higher than expected by chance Cf. Poker Hands

4 Study Design of Hamer et al. (1993) QTL (Quantitative Trait Loci) study: Possible genetic influence on (behavioral) phenotype Linkage between phenotype & genotype markers E.g.: Same-Sex orientation of gay male s [one subtype] Behavior shared with gay uncle but not father => mother-side X chromosome inheritance Pedigree analysis provides data for and against hypothesis Genetic concordance of X inherited from mother Identity by Descent [D]: copies of same X Discordance [n]: copies of different X Similarity by State [S]: a similar X may be same X allele Uninformative [-]: not enough information Logarithm of Odds (LOD) calculation Z 1 = likelihood(D), given observed data (allele frequencies) LOD = log 10 [Z 1 / prob(null)], where p(null) = random expectation

5 X chromosome: Xq27~28 region

6 Pedigree of an X-linked male trait (e.g., Male Homosexuality: Hamer et al. (1993)) X-linkage indicated if uncles & nephews share trait: Mother (sister of uncle) implicated as carrier

7 Identity by Descent vs State vs discordant (-) & un-informative (n) sites

8 Identity by Descent vs State vs discordant ( - ) Identical by Descent Identical by State Discordant (-)

9 LOD score analysis of Five-Card Draw Poker (Logarithm of Odds) Given 52 cards, there are (52 choose 5) = 2,598,960 = 2.6 x 10 6 possible five-card hands The probability of any random hand = 3.85 x 10 -7 P(flush) = (13 choose 5) = 1,287 for each of 4 suits = 5,148 / 2,598,960 = 1.98 x 10 -3 P(4-of-a-Kind): 13 4s-of-a-kind, and 48 other cards to fill = (13*48) / 2,598,960 = 2.40 x 10 -4 log 10 (1.98 x 10 -3 ) = -2.70 log 10 (2.40 x 10 -4 ) = -3.62 log 10 [(2.40 x 10 -4 ) / (1.98 x 10 -3 )] = -0.92 A flush or 4-of-a-kind, though unlikely, are far more likely (~ 10 3~4 ) than a random hand 4-of-a-kind is less likely (and therefore beats) a flush Note: evaluate (n choose k) = n! / k! (n-k)!

10 LOD score analysis (hypothetical, simplified) Consider 21 possible concordance ratios: What odds? Consider 21 successive markers with observed ratios: Is there Linkage?

11 Linkage Analysis (hypothetical result) over 22 X-chromosome molecular markers (1-21) LOD > 3 (markers 12~15) exceeds the threshold for inference of association between genes in this region and the correlated phenotype

12 Hamer et al. (1993) Trait mapping to RSTUV region of Xq28 Proband Marker Locus ABCDEFGHIJKLMNOPQRSTUV 1 nDDDDDnDnDDnnDnDnnnDDD 2 DnnnnDnDnnnnnDnnDD 3 nnDDDnDnDnDDDDnDDnnD 4 DDnDDnDDDnnnnnDnnnD 5 DDDnDDDDDDnDDDD 6 nDnnDDDnDnDDDDn 7 DnDnDDnDnDDnDnnDD 8 nnDDDnDDnnnDnDDn 9 DDnnnDnnnDDnnn 10 DDDSSDSDSDSSSSSDS 11 SSSSSSSSSSSSSSSSSSSSSS 12 SSSSSSSSSSSSSSSSSSS 13 SSSSSSSSSSSSSSSSS 14 SSSSSSSSSSSSSSS 15 SS S SSSSSSSSSSSSSSSSS 16 SSSSSSSSSSSSSSSSS 17 SSS SSSSSSSSSSSSSSSSS 18 SS S SSSSSSSSSSSSSSSS 19 SSSS SSSSSSSSSSSSSSSS 20 SSS SS S SSSSSSSSSSS 21 SSS S S SSSSSSSSSSS 22 S SSSSSSSSSSS 23 SS S SSSSSSSSSSS 24 SSS SS SSSSSSSSSS 25 SS SS SS S SSSSSSS 26 SS S S S S SSSSSS 27 S SSSSSSS SSSSSS 28 SSS SSSSSS SSSSSS 29 S SSSSSSSSSSS SSSSS 30 n nnnn nnDDD n n nnnn 31 nDD n nn n n 32 DDnDD DD nnn n 33 SDDnnDDnnnn S S nSn 34 SSSSSSSSS SSSS SS SSS 35 SSSSSSSSSSSS SS 36 SSSSSSSSSSSSSSSS S

13 LOD scores (long calculation) = The ratio of the unlikely observed event to the unlikely random event, (where brothers share any allele with p = z 1 = ½ ) Simple formula [red box] is modified by marker allele frequencies, corrections for loci Identical by State, etc.

14 Hamer et al. (1993): Linkage Analysis over 22 X-chromosome molecular markers (A-V)

15 LOD score assignments over X: high scores (=> linkage) in RSTUV region of Xq28 LOD = log 10 of odds LOD > 3 < 1/1000


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