Browsing by Subject "Chromosome mapping"

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    Gene-by-Diet Interactions Affect Serum 1,25-Dihydroxyvitamin D Levels in Male BXD Recombinant Inbred Mice
    (Oxford University Press, 2016-02) Fleet, James C.; Replogle, Rebecca A.; Reyes-Fernandez, Perla; Wang, Libo; Zhang, Min; Clinkenbeard, Erica L.; White, Kenneth E.; Department of Medical & Molecular Genetics, IU School of Medicine
    1,25-Dihydroxyvitamin D (1,25[OH]2D) regulates calcium (Ca), phosphate, and bone metabolism. Serum 1,25(OH)2D levels are reduced by low vitamin D status and high fibroblast growth factor 23 (FGF23) levels and increased by low Ca intake and high PTH levels. Natural genetic variation controls serum 25-hydroxyvitamin D (25[OH]D) levels, but it is unclear how it controls serum 1,25(OH)2D or the response of serum 1,25(OH)2D levels to dietary Ca restriction (RCR). Male mice from 11 inbred lines and from 51 BXD recombinant inbred lines were fed diets with either 0.5% (basal) or 0.25% Ca from 4 to 12 weeks of age (n = 8 per line per diet). Significant variation among the lines was found in basal serum 1,25(OH)2D and in the RCR as well as basal serum 25(OH)D and FGF23 levels. 1,25(OH)2D was not correlated to 25(OH)D but was negatively correlated to FGF23 (r = -0.5). Narrow sense heritability of 1,25(OH)2D was 0.67 on the 0.5% Ca diet, 0.66 on the 0.25% Ca diet, and 0.59 for the RCR, indicating a strong genetic control of serum 1,25(OH)2D. Genetic mapping revealed many loci controlling 1,25(OH)2D (seven loci) and the RCR (three loci) as well as 25(OH)D (four loci) and FGF23 (two loci); a locus on chromosome 18 controlled both 1,25(OH)2D and FGF23. Candidate genes underlying loci include the following: Ets1 (1,25[OH]2D), Elac1 (FGF23 and 1,25[OH]2D), Tbc1d15 (RCR), Plekha8 and Lyplal1 (25[OH]D), and Trim35 (FGF23). This report is the first to reveal that serum 1,25(OH)2D levels are controlled by multiple genetic factors and that some of these genetic loci interact with the dietary environment.
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    Lessons learned from whole exome sequencing in multiplex families affected by a complex genetic disorder, intracranial aneurysm
    (PLoS, 2015-03-24) Farlow, Janice L.; Lin, Hai; Sauerbeck, Laura; Lai, Dongbing; Koller, Daniel L.; Pugh, Elizabeth; Hetrick, Kurt; Ling, Hua; Kleinloog, Rachel; van der Vlies, Peter; Deelen, Patrick; Swertz, Morris A.; Verweij, Bon H.; Regli, Luca; Rinkel, Gabriel J.E.; Ruigrok, Ynte M.; Doheny, Kimberly; Liu, Yunlong; Broderick, Joseph; Foroud, Tatiana; Department of Medical and Molecular Genetics, IU School of Medicine
    Genetic risk factors for intracranial aneurysm (IA) are not yet fully understood. Genomewide association studies have been successful at identifying common variants; however, the role of rare variation in IA susceptibility has not been fully explored. In this study, we report the use of whole exome sequencing (WES) in seven densely-affected families (45 individuals) recruited as part of the Familial Intracranial Aneurysm study. WES variants were prioritized by functional prediction, frequency, predicted pathogenicity, and segregation within families. Using these criteria, 68 variants in 68 genes were prioritized across the seven families. Of the genes that were expressed in IA tissue, one gene (TMEM132B) was differentially expressed in aneurysmal samples (n=44) as compared to control samples (n=16) (false discovery rate adjusted p-value=0.023). We demonstrate that sequencing of densely affected families permits exploration of the role of rare variants in a relatively common disease such as IA, although there are important study design considerations for applying sequencing to complex disorders. In this study, we explore methods of WES variant prioritization, including the incorporation of unaffected individuals, multipoint linkage analysis, biological pathway information, and transcriptome profiling. Further studies are needed to validate and characterize the set of variants and genes identified in this study.
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    Mapping genes for human face shape: Exploration of univariate phenotyping strategies
    (Public Library of Science, 2024-12-02) Yuan, Meng; Goovaerts, Seppe; Vanneste, Michiel; Matthews, Harold; Hoskens, Hanne; Richmond, Stephen; Klein, Ophir D.; Spritz, Richard A.; Hallgrimsson, Benedikt; Walsh, Susan; Shriver, Mark D.; Shaffer, John R.; Weinberg, Seth M.; Peeters, Hilde; Claes, Peter; Biology, School of Science
    Human facial shape, while strongly heritable, involves both genetic and structural complexity, necessitating precise phenotyping for accurate assessment. Common phenotyping strategies include simplifying 3D facial features into univariate traits such as anthropometric measurements (e.g., inter-landmark distances), unsupervised dimensionality reductions (e.g., principal component analysis (PCA) and auto-encoder (AE) approaches), and assessing resemblance to particular facial gestalts (e.g., syndromic facial archetypes). This study provides a comparative assessment of these strategies in genome-wide association studies (GWASs) of 3D facial shape. Specifically, we investigated inter-landmark distances, PCA and AE-derived latent dimensions, and facial resemblance to random, extreme, and syndromic gestalts within a GWAS of 8,426 individuals of recent European ancestry. Inter-landmark distances exhibit the highest SNP-based heritability as estimated via LD score regression, followed by AE dimensions. Conversely, resemblance scores to extreme and syndromic facial gestalts display the lowest heritability, in line with expectations. Notably, the aggregation of multiple GWASs on facial resemblance to random gestalts reveals the highest number of independent genetic loci. This novel, easy-to-implement phenotyping approach holds significant promise for capturing genetically relevant morphological traits derived from complex biomedical imaging datasets, and its applications extend beyond faces. Nevertheless, these different phenotyping strategies capture different genetic influences on craniofacial shape. Thus, it remains valuable to explore these strategies individually and in combination to gain a more comprehensive understanding of the genetic factors underlying craniofacial shape and related traits.