Influence of Family Structure on Variance Decomposition

Stefan McKinnon Edwards; Pernille Merete Sarup; Peter Sørensen

Influence of Family Structure on Variance Decomposition

Stefan McKinnon Edwards, Pernille Merete Sarup, Peter Sørensen

Center for Quantitative Genetics and Genomics

Research output: Contribution to conference › Poster › Research

Abstract

Partitioning genetic variance by sets of randomly sampled genes for complex traits in D. melanogaster and B. taurus, has revealed that population structure can affect variance decomposition. In fruit flies, we found that a high likelihood ratio is correlated with a high proportion of explained genetic variance. However, in Holstein cattle, a group of genes that explained close to none of the genetic variance could also have a high likelihood ratio. This is still a good separation of signal and noise, but instead of capturing the genetic signal in the marker set being tested, we are instead capturing pure noise. Therefore it is necessary to use both criteria, high likelihood ratio in favor of a more complex genetic model and proportion of genetic variance explained, to identify biologically important gene groups

Original language	English
Publication date	18 Aug 2014
Number of pages	1
Publication status	Published - 18 Aug 2014
Event	10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 Conference number: 10th

Conference

Conference	10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number	10th
Location	The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
Country/Territory	Canada
City	Vancouver
Period	17/08/2014 → 22/08/2014

Keywords

Linear mixed models
Holstein dairy cattle
Fruit flies

Access to Document

https://event.crowdcompass.com/wcgalp2014#/activity/ajh1hqcoyE

GenSAP : GenSAP - Center for Genomic Selection in Animal and Plants
Lund, M. S. (Project manager), Sørensen, P. (Project manager), Janss, L. (Project manager), Sørensen, A. C. (Project manager), Dybdahl Pedersen, L. (Project coordinator), Jensen, J. (Participant), Christensen, O. F. (Participant), Guldbrandtsen, B. (Participant), Asp, T. (Participant), Bendixen, C. (Participant), Su, G. (Participant), Madsen, P. (Participant), Brøndum, R. F. (Participant), Rasmussen, S. K. (Participant), Nielsen, K. L. (Participant), Goddard, M. (Participant), Meuwissen, T. (Participant), Mackay, T. (Participant), Boichard, D. (Participant), Zhang, Q. (Participant) & Gianola, D. (Participant)
Det Strategiske Forskningsråd, Programkomiteen for Sunhed, fødevarer og velfærd
01/01/2013 → 31/12/2018
Project: Research

Cite this

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title = "Influence of Family Structure on Variance Decomposition",

abstract = "Partitioning genetic variance by sets of randomly sampled genes for complex traits in D. melanogaster and B. taurus, has revealed that population structure can affect variance decomposition. In fruit flies, we found that a high likelihood ratio is correlated with a high proportion of explained genetic variance. However, in Holstein cattle, a group of genes that explained close to none of the genetic variance could also have a high likelihood ratio. This is still a good separation of signal and noise, but instead of capturing the genetic signal in the marker set being tested, we are instead capturing pure noise. Therefore it is necessary to use both criteria, high likelihood ratio in favor of a more complex genetic model and proportion of genetic variance explained, to identify biologically important gene groups",

keywords = "Linear mixed models, Holstein dairy cattle, Fruit flies",

author = "Edwards, {Stefan McKinnon} and Sarup, {Pernille Merete} and Peter S{\o}rensen",

year = "2014",

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language = "English",

note = "10th World Congress on Genetics Applied to Livestock Production (WCGALP), WCGALP ; Conference date: 17-08-2014 Through 22-08-2014",

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TY - CONF

T1 - Influence of Family Structure on Variance Decomposition

AU - Edwards, Stefan McKinnon

AU - Sarup, Pernille Merete

AU - Sørensen, Peter

N1 - Conference code: 10th

PY - 2014/8/18

Y1 - 2014/8/18

N2 - Partitioning genetic variance by sets of randomly sampled genes for complex traits in D. melanogaster and B. taurus, has revealed that population structure can affect variance decomposition. In fruit flies, we found that a high likelihood ratio is correlated with a high proportion of explained genetic variance. However, in Holstein cattle, a group of genes that explained close to none of the genetic variance could also have a high likelihood ratio. This is still a good separation of signal and noise, but instead of capturing the genetic signal in the marker set being tested, we are instead capturing pure noise. Therefore it is necessary to use both criteria, high likelihood ratio in favor of a more complex genetic model and proportion of genetic variance explained, to identify biologically important gene groups

AB - Partitioning genetic variance by sets of randomly sampled genes for complex traits in D. melanogaster and B. taurus, has revealed that population structure can affect variance decomposition. In fruit flies, we found that a high likelihood ratio is correlated with a high proportion of explained genetic variance. However, in Holstein cattle, a group of genes that explained close to none of the genetic variance could also have a high likelihood ratio. This is still a good separation of signal and noise, but instead of capturing the genetic signal in the marker set being tested, we are instead capturing pure noise. Therefore it is necessary to use both criteria, high likelihood ratio in favor of a more complex genetic model and proportion of genetic variance explained, to identify biologically important gene groups

KW - Linear mixed models

KW - Holstein dairy cattle

KW - Fruit flies

M3 - Poster

T2 - 10th World Congress on Genetics Applied to Livestock Production (WCGALP)

Y2 - 17 August 2014 through 22 August 2014

ER -

Influence of Family Structure on Variance Decomposition

Abstract

Conference

Keywords

Access to Document

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Projects

GenSAP : GenSAP - Center for Genomic Selection in Animal and Plants

Cite this