Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses

<p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shaffer John R [verfasserIn] Feingold Eleanor [verfasserIn] Wang Xiaojing [verfasserIn] TCuenco Karen [verfasserIn] Weeks Daniel E [verfasserIn] DeSensi Rebecca S [verfasserIn] Polk Deborah E [verfasserIn] Wendell Steve [verfasserIn] Weyant Robert J [verfasserIn] Crout Richard [verfasserIn] McNeil Daniel W [verfasserIn] Marazita Mary L [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries

Übergeordnetes Werk:	In: BMC Oral Health - BMC, 2003, 12(2012), 1, p 7
Übergeordnetes Werk:	volume:12 ; year:2012 ; number:1, p 7

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1472-6831-12-7

Katalog-ID:	DOAJ033636125

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520			\|a <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p<
650		4	\|a Dental caries genetics
650		4	\|a Heritability
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allfields	10.1186/1472-6831-12-7 doi (DE-627)DOAJ033636125 (DE-599)DOAJb738813eaf9b4531953d0be3b6f14275 DE-627 ger DE-627 rakwb eng RK1-715 Shaffer John R verfasserin aut Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry Feingold Eleanor verfasserin aut Wang Xiaojing verfasserin aut TCuenco Karen verfasserin aut Weeks Daniel E verfasserin aut DeSensi Rebecca S verfasserin aut Polk Deborah E verfasserin aut Wendell Steve verfasserin aut Weyant Robert J verfasserin aut Crout Richard verfasserin aut McNeil Daniel W verfasserin aut Marazita Mary L verfasserin aut In BMC Oral Health BMC, 2003 12(2012), 1, p 7 (DE-627)355500108 (DE-600)2091511-1 14726831 nnns volume:12 year:2012 number:1, p 7 https://doi.org/10.1186/1472-6831-12-7 kostenfrei https://doaj.org/article/b738813eaf9b4531953d0be3b6f14275 kostenfrei http://www.biomedcentral.com/1472-6831/12/7 kostenfrei https://doaj.org/toc/1472-6831 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_2003 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 12 2012 1, p 7
spelling	10.1186/1472-6831-12-7 doi (DE-627)DOAJ033636125 (DE-599)DOAJb738813eaf9b4531953d0be3b6f14275 DE-627 ger DE-627 rakwb eng RK1-715 Shaffer John R verfasserin aut Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry Feingold Eleanor verfasserin aut Wang Xiaojing verfasserin aut TCuenco Karen verfasserin aut Weeks Daniel E verfasserin aut DeSensi Rebecca S verfasserin aut Polk Deborah E verfasserin aut Wendell Steve verfasserin aut Weyant Robert J verfasserin aut Crout Richard verfasserin aut McNeil Daniel W verfasserin aut Marazita Mary L verfasserin aut In BMC Oral Health BMC, 2003 12(2012), 1, p 7 (DE-627)355500108 (DE-600)2091511-1 14726831 nnns volume:12 year:2012 number:1, p 7 https://doi.org/10.1186/1472-6831-12-7 kostenfrei https://doaj.org/article/b738813eaf9b4531953d0be3b6f14275 kostenfrei http://www.biomedcentral.com/1472-6831/12/7 kostenfrei https://doaj.org/toc/1472-6831 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_2003 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 12 2012 1, p 7
allfields_unstemmed	10.1186/1472-6831-12-7 doi (DE-627)DOAJ033636125 (DE-599)DOAJb738813eaf9b4531953d0be3b6f14275 DE-627 ger DE-627 rakwb eng RK1-715 Shaffer John R verfasserin aut Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry Feingold Eleanor verfasserin aut Wang Xiaojing verfasserin aut TCuenco Karen verfasserin aut Weeks Daniel E verfasserin aut DeSensi Rebecca S verfasserin aut Polk Deborah E verfasserin aut Wendell Steve verfasserin aut Weyant Robert J verfasserin aut Crout Richard verfasserin aut McNeil Daniel W verfasserin aut Marazita Mary L verfasserin aut In BMC Oral Health BMC, 2003 12(2012), 1, p 7 (DE-627)355500108 (DE-600)2091511-1 14726831 nnns volume:12 year:2012 number:1, p 7 https://doi.org/10.1186/1472-6831-12-7 kostenfrei https://doaj.org/article/b738813eaf9b4531953d0be3b6f14275 kostenfrei http://www.biomedcentral.com/1472-6831/12/7 kostenfrei https://doaj.org/toc/1472-6831 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_2003 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 12 2012 1, p 7
allfieldsGer	10.1186/1472-6831-12-7 doi (DE-627)DOAJ033636125 (DE-599)DOAJb738813eaf9b4531953d0be3b6f14275 DE-627 ger DE-627 rakwb eng RK1-715 Shaffer John R verfasserin aut Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry Feingold Eleanor verfasserin aut Wang Xiaojing verfasserin aut TCuenco Karen verfasserin aut Weeks Daniel E verfasserin aut DeSensi Rebecca S verfasserin aut Polk Deborah E verfasserin aut Wendell Steve verfasserin aut Weyant Robert J verfasserin aut Crout Richard verfasserin aut McNeil Daniel W verfasserin aut Marazita Mary L verfasserin aut In BMC Oral Health BMC, 2003 12(2012), 1, p 7 (DE-627)355500108 (DE-600)2091511-1 14726831 nnns volume:12 year:2012 number:1, p 7 https://doi.org/10.1186/1472-6831-12-7 kostenfrei https://doaj.org/article/b738813eaf9b4531953d0be3b6f14275 kostenfrei http://www.biomedcentral.com/1472-6831/12/7 kostenfrei https://doaj.org/toc/1472-6831 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_2003 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 12 2012 1, p 7
allfieldsSound	10.1186/1472-6831-12-7 doi (DE-627)DOAJ033636125 (DE-599)DOAJb738813eaf9b4531953d0be3b6f14275 DE-627 ger DE-627 rakwb eng RK1-715 Shaffer John R verfasserin aut Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p< Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry Feingold Eleanor verfasserin aut Wang Xiaojing verfasserin aut TCuenco Karen verfasserin aut Weeks Daniel E verfasserin aut DeSensi Rebecca S verfasserin aut Polk Deborah E verfasserin aut Wendell Steve verfasserin aut Weyant Robert J verfasserin aut Crout Richard verfasserin aut McNeil Daniel W verfasserin aut Marazita Mary L verfasserin aut In BMC Oral Health BMC, 2003 12(2012), 1, p 7 (DE-627)355500108 (DE-600)2091511-1 14726831 nnns volume:12 year:2012 number:1, p 7 https://doi.org/10.1186/1472-6831-12-7 kostenfrei https://doaj.org/article/b738813eaf9b4531953d0be3b6f14275 kostenfrei http://www.biomedcentral.com/1472-6831/12/7 kostenfrei https://doaj.org/toc/1472-6831 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_2003 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 12 2012 1, p 7
language	English
source	In BMC Oral Health 12(2012), 1, p 7 volume:12 year:2012 number:1, p 7
sourceStr	In BMC Oral Health 12(2012), 1, p 7 volume:12 year:2012 number:1, p 7
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries Dentistry
isfreeaccess_bool	true
container_title	BMC Oral Health
authorswithroles_txt_mv	Shaffer John R @@aut@@ Feingold Eleanor @@aut@@ Wang Xiaojing @@aut@@ TCuenco Karen @@aut@@ Weeks Daniel E @@aut@@ DeSensi Rebecca S @@aut@@ Polk Deborah E @@aut@@ Wendell Steve @@aut@@ Weyant Robert J @@aut@@ Crout Richard @@aut@@ McNeil Daniel W @@aut@@ Marazita Mary L @@aut@@
publishDateDaySort_date	2012-01-01T00:00:00Z
hierarchy_top_id	355500108
id	DOAJ033636125
language_de	englisch
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callnumber-first	R - Medicine
author	Shaffer John R
spellingShingle	Shaffer John R misc RK1-715 misc Dental caries genetics misc Heritability misc Permanent dentition misc Pit and fissure surfaces misc Smooth surfaces misc Tooth surfaces misc Principal components analysis misc Factor analysis misc Patterns of tooth decay misc Patterns of dental caries misc Dentistry Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
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topic_title	RK1-715 Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses Dental caries genetics Heritability Permanent dentition Pit and fissure surfaces Smooth surfaces Tooth surfaces Principal components analysis Factor analysis Patterns of tooth decay Patterns of dental caries
topic	misc RK1-715 misc Dental caries genetics misc Heritability misc Permanent dentition misc Pit and fissure surfaces misc Smooth surfaces misc Tooth surfaces misc Principal components analysis misc Factor analysis misc Patterns of tooth decay misc Patterns of dental caries misc Dentistry
topic_unstemmed	misc RK1-715 misc Dental caries genetics misc Heritability misc Permanent dentition misc Pit and fissure surfaces misc Smooth surfaces misc Tooth surfaces misc Principal components analysis misc Factor analysis misc Patterns of tooth decay misc Patterns of dental caries misc Dentistry
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title	Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
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title_full	Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
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author_browse	Shaffer John R Feingold Eleanor Wang Xiaojing TCuenco Karen Weeks Daniel E DeSensi Rebecca S Polk Deborah E Wendell Steve Weyant Robert J Crout Richard McNeil Daniel W Marazita Mary L
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title_sort	heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
callnumber	RK1-715
title_auth	Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
abstract	<p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.</p< <p<Methods</p< <p<The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without <it<a priori </it<surface classifications, were applied to our data.</p< <p<Results</p< <p<The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that <it<a priori </it<caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h<sup<2 </sup<= 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.</p< <p<Conclusions</p< <p<This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries.</p<
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Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses

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