Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits

Important knowledge about the determinants of complex human phenotypes can be obtained from the estimation of heritability, the fraction of phenotypic variation in a population that is determined by genetic factors. Here, we make use of extensive phenotype data in Iceland, long-range phased genotype...

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Main Authors: Noah Zaitlen, Peter Kraft, Nick Patterson, Bogdan Pasaniuc, Gaurav Bhatia, Samuela Pollack, Alkes L Price
Format: Article in Journal/Newspaper
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Online Access:https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003520
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003520&type=printable
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spelling ftrepec:oai:RePEc:plo:pgen00:1003520 2024-04-14T08:13:54+00:00 Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits Noah Zaitlen Peter Kraft Nick Patterson Bogdan Pasaniuc Gaurav Bhatia Samuela Pollack Alkes L Price https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003520 https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003520&type=printable unknown https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003520 https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003520&type=printable article ftrepec 2024-03-19T10:26:32Z Important knowledge about the determinants of complex human phenotypes can be obtained from the estimation of heritability, the fraction of phenotypic variation in a population that is determined by genetic factors. Here, we make use of extensive phenotype data in Iceland, long-range phased genotypes, and a population-wide genealogical database to examine the heritability of 11 quantitative and 12 dichotomous phenotypes in a sample of 38,167 individuals. Most previous estimates of heritability are derived from family-based approaches such as twin studies, which may be biased upwards by epistatic interactions or shared environment. Our estimates of heritability, based on both closely and distantly related pairs of individuals, are significantly lower than those from previous studies. We examine phenotypic correlations across a range of relationships, from siblings to first cousins, and find that the excess phenotypic correlation in these related individuals is predominantly due to shared environment as opposed to dominance or epistasis. We also develop a new method to jointly estimate narrow-sense heritability and the heritability explained by genotyped SNPs. Unlike existing methods, this approach permits the use of information from both closely and distantly related pairs of individuals, thereby reducing the variance of estimates of heritability explained by genotyped SNPs while preventing upward bias. Our results show that common SNPs explain a larger proportion of the heritability than previously thought, with SNPs present on Illumina 300K genotyping arrays explaining more than half of the heritability for the 23 phenotypes examined in this study. Much of the remaining heritability is likely to be due to rare alleles that are not captured by standard genotyping arrays.Author Summary: Phenotype is a function of a genome and its environment. Heritability is the fraction of variation in a phenotype determined by genetic factors in a population. Current methods to estimate heritability rely on the phenotypic ... Article in Journal/Newspaper Iceland RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Important knowledge about the determinants of complex human phenotypes can be obtained from the estimation of heritability, the fraction of phenotypic variation in a population that is determined by genetic factors. Here, we make use of extensive phenotype data in Iceland, long-range phased genotypes, and a population-wide genealogical database to examine the heritability of 11 quantitative and 12 dichotomous phenotypes in a sample of 38,167 individuals. Most previous estimates of heritability are derived from family-based approaches such as twin studies, which may be biased upwards by epistatic interactions or shared environment. Our estimates of heritability, based on both closely and distantly related pairs of individuals, are significantly lower than those from previous studies. We examine phenotypic correlations across a range of relationships, from siblings to first cousins, and find that the excess phenotypic correlation in these related individuals is predominantly due to shared environment as opposed to dominance or epistasis. We also develop a new method to jointly estimate narrow-sense heritability and the heritability explained by genotyped SNPs. Unlike existing methods, this approach permits the use of information from both closely and distantly related pairs of individuals, thereby reducing the variance of estimates of heritability explained by genotyped SNPs while preventing upward bias. Our results show that common SNPs explain a larger proportion of the heritability than previously thought, with SNPs present on Illumina 300K genotyping arrays explaining more than half of the heritability for the 23 phenotypes examined in this study. Much of the remaining heritability is likely to be due to rare alleles that are not captured by standard genotyping arrays.Author Summary: Phenotype is a function of a genome and its environment. Heritability is the fraction of variation in a phenotype determined by genetic factors in a population. Current methods to estimate heritability rely on the phenotypic ...
format Article in Journal/Newspaper
author Noah Zaitlen
Peter Kraft
Nick Patterson
Bogdan Pasaniuc
Gaurav Bhatia
Samuela Pollack
Alkes L Price
spellingShingle Noah Zaitlen
Peter Kraft
Nick Patterson
Bogdan Pasaniuc
Gaurav Bhatia
Samuela Pollack
Alkes L Price
Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
author_facet Noah Zaitlen
Peter Kraft
Nick Patterson
Bogdan Pasaniuc
Gaurav Bhatia
Samuela Pollack
Alkes L Price
author_sort Noah Zaitlen
title Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
title_short Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
title_full Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
title_fullStr Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
title_full_unstemmed Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
title_sort using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits
url https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003520
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003520&type=printable
genre Iceland
genre_facet Iceland
op_relation https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003520
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003520&type=printable
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