First genome-wide association study of 99 body measures derived from 3-dimensional body scans

Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits wi...
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Autor*in:	Andreas Kühnapfel [verfasserIn] Peter Ahnert [verfasserIn] Katrin Horn [verfasserIn] Holger Kirsten [verfasserIn] Markus Loeffler [verfasserIn] Markus Scholz [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	3D-anthropometry Genetic correlation GWAS Heritability PheWAS

Übergeordnetes Werk:	In: Genes and Diseases - KeAi Communications Co., Ltd., 2016, 9(2022), 3, Seite 777-788
Übergeordnetes Werk:	volume:9 ; year:2022 ; number:3 ; pages:777-788

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.gendis.2021.02.003

Katalog-ID:	DOAJ063726572

Internformat


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allfieldsGer	10.1016/j.gendis.2021.02.003 doi (DE-627)DOAJ063726572 (DE-599)DOAJd074ec9a3bf94db7818f31103a36eda4 DE-627 ger DE-627 rakwb eng R5-920 QH426-470 Andreas Kühnapfel verfasserin aut First genome-wide association study of 99 body measures derived from 3-dimensional body scans 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h2 = 44% for neck height) and 61 traits achieved values larger than 20%. By genome-wide analyses, we identified 16 loci associated with at least one of the 99 traits. Ten of these loci were not described for association with classical anthropometric traits so far. The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). We conclude that genetics of 3D laser-based anthropometry is promising to identify novel loci and to improve the functional understanding of established ones. 3D-anthropometry Genetic correlation GWAS Heritability PheWAS Medicine (General) Genetics Peter Ahnert verfasserin aut Katrin Horn verfasserin aut Holger Kirsten verfasserin aut Markus Loeffler verfasserin aut Markus Scholz verfasserin aut In Genes and Diseases KeAi Communications Co., Ltd., 2016 9(2022), 3, Seite 777-788 (DE-627)826104428 (DE-600)2821806-1 23523042 nnns volume:9 year:2022 number:3 pages:777-788 https://doi.org/10.1016/j.gendis.2021.02.003 kostenfrei https://doaj.org/article/d074ec9a3bf94db7818f31103a36eda4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352304221000234 kostenfrei https://doaj.org/toc/2352-3042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 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_206 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 9 2022 3 777-788
allfieldsSound	10.1016/j.gendis.2021.02.003 doi (DE-627)DOAJ063726572 (DE-599)DOAJd074ec9a3bf94db7818f31103a36eda4 DE-627 ger DE-627 rakwb eng R5-920 QH426-470 Andreas Kühnapfel verfasserin aut First genome-wide association study of 99 body measures derived from 3-dimensional body scans 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h2 = 44% for neck height) and 61 traits achieved values larger than 20%. By genome-wide analyses, we identified 16 loci associated with at least one of the 99 traits. Ten of these loci were not described for association with classical anthropometric traits so far. The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). We conclude that genetics of 3D laser-based anthropometry is promising to identify novel loci and to improve the functional understanding of established ones. 3D-anthropometry Genetic correlation GWAS Heritability PheWAS Medicine (General) Genetics Peter Ahnert verfasserin aut Katrin Horn verfasserin aut Holger Kirsten verfasserin aut Markus Loeffler verfasserin aut Markus Scholz verfasserin aut In Genes and Diseases KeAi Communications Co., Ltd., 2016 9(2022), 3, Seite 777-788 (DE-627)826104428 (DE-600)2821806-1 23523042 nnns volume:9 year:2022 number:3 pages:777-788 https://doi.org/10.1016/j.gendis.2021.02.003 kostenfrei https://doaj.org/article/d074ec9a3bf94db7818f31103a36eda4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352304221000234 kostenfrei https://doaj.org/toc/2352-3042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 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_206 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 9 2022 3 777-788
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callnumber-first	R - Medicine
author	Andreas Kühnapfel
spellingShingle	Andreas Kühnapfel misc R5-920 misc QH426-470 misc 3D-anthropometry misc Genetic correlation misc GWAS misc Heritability misc PheWAS misc Medicine (General) misc Genetics First genome-wide association study of 99 body measures derived from 3-dimensional body scans
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topic_title	R5-920 QH426-470 First genome-wide association study of 99 body measures derived from 3-dimensional body scans 3D-anthropometry Genetic correlation GWAS Heritability PheWAS
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title	First genome-wide association study of 99 body measures derived from 3-dimensional body scans
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title_full	First genome-wide association study of 99 body measures derived from 3-dimensional body scans
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title_sort	first genome-wide association study of 99 body measures derived from 3-dimensional body scans
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title_auth	First genome-wide association study of 99 body measures derived from 3-dimensional body scans
abstract	Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h2 = 44% for neck height) and 61 traits achieved values larger than 20%. By genome-wide analyses, we identified 16 loci associated with at least one of the 99 traits. Ten of these loci were not described for association with classical anthropometric traits so far. The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). We conclude that genetics of 3D laser-based anthropometry is promising to identify novel loci and to improve the functional understanding of established ones.
abstractGer	Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h2 = 44% for neck height) and 61 traits achieved values larger than 20%. By genome-wide analyses, we identified 16 loci associated with at least one of the 99 traits. Ten of these loci were not described for association with classical anthropometric traits so far. The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). We conclude that genetics of 3D laser-based anthropometry is promising to identify novel loci and to improve the functional understanding of established ones.
abstract_unstemmed	Body height, body mass index, hip and waist circumference are important risk factors or outcome variables in clinical and epidemiological research with complex underlying genetics. However, these classical anthropometric traits represent only a very limited view on the human body and other traits with potentially higher functional specificity are not yet studied to a larger extent. Participants of LIFE-Adult were assessed by three-dimensional body scanner VITUS XXL determining 99 high-quality anthropometric traits in parallel. Genotyping was performed by Axiom Genome-Wide CEU 1 Array Plate microarray technology and imputation was done using 1000 Genomes phase 3 reference panel. Combined phenotype and genetic information are available for a total of 7,562 participants. Largest heritabilities were estimated for height traits (maximum heritability with h2 = 44% for neck height) and 61 traits achieved values larger than 20%. By genome-wide analyses, we identified 16 loci associated with at least one of the 99 traits. Ten of these loci were not described for association with classical anthropometric traits so far. The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). We conclude that genetics of 3D laser-based anthropometry is promising to identify novel loci and to improve the functional understanding of established ones.
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title_short	First genome-wide association study of 99 body measures derived from 3-dimensional body scans
url	https://doi.org/10.1016/j.gendis.2021.02.003 https://doaj.org/article/d074ec9a3bf94db7818f31103a36eda4 http://www.sciencedirect.com/science/article/pii/S2352304221000234 https://doaj.org/toc/2352-3042
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The strongest novel association was observed for 7p14.3 (rs11979006, P = 2.12 × 10−9) for the trait Back Width with ZNRF2 as the most plausible candidate gene. Loci established for association with classical anthropometric traits were subjected to anthropometric phenome-wide association analysis. From the reported 709 loci, 211 are co-associated with body scanner traits (enrichment: OR = 1.96, P = 1.08 × 10−61). 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First genome-wide association study of 99 body measures derived from 3-dimensional body scans

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