2021
DOI: 10.1101/2021.09.20.21263645
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Genome-wide association study of multiethnic non-syndromic orofacial cleft families identifies novel loci specific to family and phenotypic subtypes

Abstract: Orofacial clefts (OFCs) are among the most common craniofacial birth defects and constitute a high public health burden around the world. OFCs are phenotypically heterogeneous, affecting only the lip, only the palate, or involving both the lip and palate. Cleft palate alone is demonstrably a genetically distinct abnormality from OFCs that involve the lip, therefore, it is common to study cleft lip (CL) in combination with cleft lip plus cleft palate (CLP) as a phenotypic group (i.e. cleft lip with or without c… Show more

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Cited by 2 publications
(3 citation statements)
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“…As a binary trait, most case‐control GWAS in OFCs use logistic regression models, including covariates to account for ancestry and sex. Recent OFC GWASs have employed generalized linear mixed models, which account for population structure and relatedness, allowing for larger sample sizes (Curtis, Chang, Lee, et al, 2021; N. Mukhopadhyay et al, 2021a,2021b). An alternative approach is used to conduct family‐based GWAS using a case‐parent trio design.…”
Section: Genome‐wide Studies Of Ofcsmentioning
confidence: 99%
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“…As a binary trait, most case‐control GWAS in OFCs use logistic regression models, including covariates to account for ancestry and sex. Recent OFC GWASs have employed generalized linear mixed models, which account for population structure and relatedness, allowing for larger sample sizes (Curtis, Chang, Lee, et al, 2021; N. Mukhopadhyay et al, 2021a,2021b). An alternative approach is used to conduct family‐based GWAS using a case‐parent trio design.…”
Section: Genome‐wide Studies Of Ofcsmentioning
confidence: 99%
“…GWAS only accounts for a portion of heritable risk for OFCs. It is difficult to quantify the exact fraction attributed to common variants as most GWAS studies are not population‐based and there is significant heterogeneity of associated loci between populations (N. Mukhopadhyay et al, 2021a,2021b; T. Murray et al, 2012); but GWAS loci likely account for no more than 10%–30% of the heritable risk of CL/P in any one population (Ludwig et al, 2017; Yu et al, 2017), although some estimates are as high as 30%–40% for European populations (Dardani et al, 2020). These figures indicate that other types or frequencies of genetic variation (i.e., rare variants of large effect) contribute to risk, which was predicted from segregation and linkage analyses.…”
Section: Applications Of Sequencing Technologiesmentioning
confidence: 99%
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