Heritability of pulmonary function estimated from pedigree and whole-genome markers.

Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion...
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Autor*in:	Yann C. Klimentidis [verfasserIn] Ana I. Vazquez [verfasserIn] Gustavo ede los Campos [verfasserIn] David B Allison [verfasserIn] Mark T Dransfield [verfasserIn] Victor J Thannickal [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2013

Schlagwörter:	genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC

Übergeordnetes Werk:	In: Frontiers in Genetics - Frontiers Media S.A., 2011, 4(2013)
Übergeordnetes Werk:	volume:4 ; year:2013

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fgene.2013.00174

Katalog-ID:	DOAJ024285587

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520			\|a Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC.
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spelling	10.3389/fgene.2013.00174 doi (DE-627)DOAJ024285587 (DE-599)DOAJa608e8a444164c0096a209403f727b03 DE-627 ger DE-627 rakwb eng QH426-470 Yann C. Klimentidis verfasserin aut Heritability of pulmonary function estimated from pedigree and whole-genome markers. 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC. genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC Genetics Ana I. Vazquez verfasserin aut Gustavo ede los Campos verfasserin aut David B Allison verfasserin aut Mark T Dransfield verfasserin aut Victor J Thannickal verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 4(2013) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:4 year:2013 https://doi.org/10.3389/fgene.2013.00174 kostenfrei https://doaj.org/article/a608e8a444164c0096a209403f727b03 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00174/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2013
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allfieldsGer	10.3389/fgene.2013.00174 doi (DE-627)DOAJ024285587 (DE-599)DOAJa608e8a444164c0096a209403f727b03 DE-627 ger DE-627 rakwb eng QH426-470 Yann C. Klimentidis verfasserin aut Heritability of pulmonary function estimated from pedigree and whole-genome markers. 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC. genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC Genetics Ana I. Vazquez verfasserin aut Gustavo ede los Campos verfasserin aut David B Allison verfasserin aut Mark T Dransfield verfasserin aut Victor J Thannickal verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 4(2013) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:4 year:2013 https://doi.org/10.3389/fgene.2013.00174 kostenfrei https://doaj.org/article/a608e8a444164c0096a209403f727b03 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00174/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2013
allfieldsSound	10.3389/fgene.2013.00174 doi (DE-627)DOAJ024285587 (DE-599)DOAJa608e8a444164c0096a209403f727b03 DE-627 ger DE-627 rakwb eng QH426-470 Yann C. Klimentidis verfasserin aut Heritability of pulmonary function estimated from pedigree and whole-genome markers. 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC. genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC Genetics Ana I. Vazquez verfasserin aut Gustavo ede los Campos verfasserin aut David B Allison verfasserin aut Mark T Dransfield verfasserin aut Victor J Thannickal verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 4(2013) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:4 year:2013 https://doi.org/10.3389/fgene.2013.00174 kostenfrei https://doaj.org/article/a608e8a444164c0096a209403f727b03 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00174/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2013
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topic_facet	genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC Genetics
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container_title	Frontiers in Genetics
authorswithroles_txt_mv	Yann C. Klimentidis @@aut@@ Ana I. Vazquez @@aut@@ Gustavo ede los Campos @@aut@@ David B Allison @@aut@@ Mark T Dransfield @@aut@@ Victor J Thannickal @@aut@@
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callnumber-first	Q - Science
author	Yann C. Klimentidis
spellingShingle	Yann C. Klimentidis misc QH426-470 misc genetic misc heritability misc Pulmonary Function misc FEV1 misc FVC misc FEV1/FVC misc Genetics Heritability of pulmonary function estimated from pedigree and whole-genome markers.
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topic_title	QH426-470 Heritability of pulmonary function estimated from pedigree and whole-genome markers genetic heritability Pulmonary Function FEV1 FVC FEV1/FVC
topic	misc QH426-470 misc genetic misc heritability misc Pulmonary Function misc FEV1 misc FVC misc FEV1/FVC misc Genetics
topic_unstemmed	misc QH426-470 misc genetic misc heritability misc Pulmonary Function misc FEV1 misc FVC misc FEV1/FVC misc Genetics
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title	Heritability of pulmonary function estimated from pedigree and whole-genome markers.
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title_full	Heritability of pulmonary function estimated from pedigree and whole-genome markers
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author_browse	Yann C. Klimentidis Ana I. Vazquez Gustavo ede los Campos David B Allison Mark T Dransfield Victor J Thannickal
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title_sort	heritability of pulmonary function estimated from pedigree and whole-genome markers
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title_auth	Heritability of pulmonary function estimated from pedigree and whole-genome markers.
abstract	Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC.
abstractGer	Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC.
abstract_unstemmed	Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships and those based on genome-wide SNPs. We find that, with family data, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC.
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title_short	Heritability of pulmonary function estimated from pedigree and whole-genome markers.
url	https://doi.org/10.3389/fgene.2013.00174 https://doaj.org/article/a608e8a444164c0096a209403f727b03 http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00174/full https://doaj.org/toc/1664-8021
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author2	Ana I. Vazquez Gustavo ede los Campos David B Allison Mark T Dransfield Victor J Thannickal
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Heritability of pulmonary function estimated from pedigree and whole-genome markers.

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