PubMed · 11309998
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E De Gennaro. Proper positioning can avoid height error.. https://pubmed.ncbi.nlm.nih.gov/11309998/
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In recent years, many genomewide screens have been performed, to identify novel loci predisposing to various complex diseases. Often, only a portion of the collected clinical data from the study subjects is used in the actual analysis of the trait, and much of the phenotypic data is ignored. With proper consent, these data could subsequently be used in studies of common quantitative traits influencing human biology, and such a reanalysis method would be further justified by the nonbiased ascertainment of study individuals. To make our point, we report here a quantitative-trait-locus (QTL) analysis of body-mass index (BMI) and stature (i.e., height), with genotypic data from genome scans of five Finnish study groups. The combined study group was composed of 614 individuals from 247 families. Five study groups were originally ascertained in genetic studies on hypertension, obesity, osteoarthritis, migraine, and familial combined hyperlipidemia. Most of the families are from the Finnish Twin Cohort, which represents a population-wide sample. In each of the five genome scans, approximately 350 evenly spaced markers were genotyped on 22 autosomes. In analyzing the genotype data by a variance-component method, we found, on chromosome 7pter (maximum multipoint LOD score of 2.91), evidence for QTLs affecting stature, and a second locus, with suggestive evidence for linkage to stature, was detected on chromosome 9q (maximum multipoint LOD score of 2.61). Encouragingly, the locus on chromosome 7 is supported by the data reported by Hirschhorn et al. (in this issue), who used a similar method. We found no evidence for QTLs affecting BMI.
Genomewide linkage analysis has been extremely successful at identification of the genetic variation underlying single-gene disorders. However, linkage analysis has been less successful for common human diseases and other complex traits in which multiple genetic and environmental factors interact to influence disease risk. We hypothesized that a highly heritable complex trait, in which the contribution of environmental factors was relatively limited, might be more amenable to linkage analysis. We therefore chose to study stature (adult height), for which heritability is approximately 75%-90% (Phillips and Matheny 1990; Carmichael and McGue 1995; Preece 1996; Silventoinen et al. 2000). We reanalyzed genomewide scans from four populations for which genotype and height data were available, using a variance-components method implemented in GENEHUNTER 2.0 (Pratt et al. 2000). The populations consisted of 408 individuals in 58 families from the Botnia region of Finland, 753 individuals in 183 families from other parts of Finland, 746 individuals in 179 families from Southern Sweden, and 420 individuals in 63 families from the Saguenay-Lac-St.-Jean region of Quebec. Four regions showed evidence of linkage to stature: 6q24-25, multipoint LOD score 3.85 at marker D6S1007 in Botnia (genomewide P<.06), 7q31.3-36 (LOD 3.40 at marker D7S2195 in Sweden, P<.02), 12p11.2-q14 (LOD 3.35 at markers D12S10990-D12S398 in Finland, P<.05) and 13q32-33 (LOD 3.56 at markers D13S779-D13S797 in Finland, P<.05). In a companion article (Perola et al. 2001 [in this issue]), strong supporting evidence is obtained for linkage to the region on chromosome 7. These studies suggest that highly heritable complex traits such as stature may be genetically tractable and provide insight into the genetic architecture of complex traits.
BACKGROUND: Growth retardation is common in children with cerebral palsy. This may in part be due to the cerebral injury, but insufficient nutrition may also play a role. The aim of the present study was to estimate the prevalence of feeding problems, growth retardation, underweight and overweight in children with cerebral palsy. MATERIAL AND METHODS: Population-based study of children with cerebral palsy in two Norwegian counties. Information was obtained both from parents and from medical records. 154 children born between 1 January 1982 and 31 December 1996 were included in the study. RESULTS: 30% of the children had height below the 2.5th centile, 10% had weight for height below the 2.5th centile, and 7% were obese (weight above the 97.5th centile). 26% of the children had oral motor dysfunction and 33% were unable to self-feed. Although these problems were more prominent in children with severe forms of cerebral palsy, the results of the multivariate analyses suggested that lack of ability to self-feed was a significant independent risk factor for height growth retardation and underweight. Parents of 24 (15%) children reported that the family's quality of life was significantly impaired by the feeding problems of the child. INTERPRETATION: Our results are consistent with previous hospital-based studies and suggest that assessment of nutrition and growth should receive particular attention in the rehabilitation of children with cerebral palsy, in particular if the child is unable to self-feed.