Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Dec 8.
Published in final edited form as: Dysmorphol Clin Genet. 1990;4(1):2–6.

INTRAFAMILIAL AND MIDPARENTAL-CHILD CORRELATIONS AND HERITABILITY ESTIMATES OF ANTHROPOMETRIC MEASUREMENTS IN PRADER-WILLI SYNDROME FAMILIES

Merlin G Butler 1, Judy L Haynes 1, F John Meaney 1
PMCID: PMC4259252  NIHMSID: NIHMS615891  PMID: 25505360

Abstract

To determine the effects of familial background on anthropometric dimensions in Prader-Willi syndrome (PWS), we measured weight; height; sitting height; longitude and breadth of the head, hands, and feet; head, arm, and calf circumferences; and triceps and subscapular skinfolds in 28 individuals with the syndrome and their natural parents. Midparental-child correlations were significant for height and foot length, with heritability estimates of 0.52 and 0.68, respectively. Significant mother-child correlations were found for weight, height, foot length, and minimal frontal diameter for the total group; in addition, hand length and breadth, and calf and arm circumferences were significant for the patients age 12.5 years or under. These data provide evidence for maternal effects on several physical characteristics in PWS, particularly in younger patients.

Keywords: anthropometry, familial influences, genetic imprinting, maternal effects


The Prader-Willi syndrome (PWS), generally sporadic in occurrence, is characterized by infantile hypotonia, early childhood obesity, mental deficiency, short stature, small hands and feet, and hypogonadism.1,2 A deletion of the proximal long arm of chromosome 15 is identified in about one-half of patients.25 The incidence of PWS has been estimated at 1 in 25,000 live births.1

To date, only one detailed anthropometric study of patients with this syndrome has included longitudinal data but no familial data.6 We report for the first time intrafamilial and midparental-child correlations and heritability estimates on several anthropometric measurements on 28 families in order to gain a better understanding of the effects of familial background on these variables in individuals affected with PWS.

MATERIALS AND METHODS

Patients with PWS in this study were diagnosed on the basis of infantile hypotonia, early childhood obesity, hypogonadism, delayed psychomotor development or mental deficiency, or both, small hands and feet, and short stature. A total of 28 individuals and their natural parents were included. The patients were 17 males (10 with 15q11–13 deletion and 7 with normal chromosomes) and 11 females (7 with 15g11–13 deletion and 4 with normal chromosomes) ranging in age from 0.7 to 26.9 years (8 ≤ 7 yrs; 8 > 7 yrs but ≤12.5 yrs; 5 > 12.5 yrs but < 18 yrs; and 7 ≥ 18 yrs) with a mean age of 12.5 ± 7.3 years at the time of examination. The average maternal age at the time of examination was 38.9 ± 9.4 years (range 24.0–63.0 yrs) and the average paternal age was 42.2 ± 10.6 years (range 25.0–66.0 yrs).

The anthropometric measurements were made according to standard techniques as presented by Weiner and Lourie7 and consisted of the following: weight, height (or length), sitting height, total hand length, middle finger length, hand breadth, foot length, foot breadth, head circumference, head length, head breadth, minimal frontal diameter, arm circumference, calf circumference, triceps skinfold, and sub-scapular skinfold. Up to age 2 years, length was measured using a horizontal calibrated board with the child in the supine position. Thereafter, height was measured with an anthropometer. Skinfold measurements were obtained to the nearest half millimeter with a Lange skinfold caliper. Circumferences were obtained to the nearest millimeter with a steel tape. Weight was measured using a balanced beam scale.

Z scores for patients with PWS and their parents were computed using normative standards to control for age and sex effects. Normative standards for Z score computation of the anthropometric variables were as follows: minimal frontal diameter in individuals over age 7 years8; weight, height, arm circumference, triceps and subscapular skinfolds in adults913; triceps and subscapular skinfolds in children under age 6 years14; and sitting height, hand length and breadth, middle finger length, foot length and breadth, calf and head circumferences, head length and breadth, weight, and height in children under age 18 years.15 Z scores were calculated from the formula:

Z=(X)/SD,

where SD is the standard deviation of the normal control, is the mean of the normal control, and X is the measurement of the individual. For each set of parents, midparental Z scores were calculated by averaging maternal and paternal Z scores for each anthropometric variable.

Pearson product-moment correlation and linear regression analyses were undertaken to study the relationship between anthropometric Z scores in the patients and their mothers and fathers. Midparental-child correlations, regressions, and heritability estimates (h2=r/1/2) were computed for each anthropometric variable.16,17

RESULTS

Table 1 shows the average Z scores for each anthropometric variable in the three parental categories and in the children with PWS. Significantly smaller foot length (< − 2 SD) and larger triceps and subscapular skinfold thicknesses (>2 SD) were observed for the patients with PWS compared with the parents. The average height, sitting height, finger length, hand breadth, foot breadth, and head breadth were also relatively lower (average Z score < − 1.75 for patients), while arm circumference was increased (average Z score 1.80 for patients) compared with parental Z scores. The average Z scores for the anthropometric variables for the mothers and fathers were close to the expected mean value of zero.

Table 1.

Parent, Midparent, and Child Z Score Data

Variable N Child
Mean ± SD
Father
Mean ± SD
Mother
Mean ± SD
Midparent
Mean ± SD
Weight 27 1.50 ± 2.76 0.65 ± 0.95 −0.05 ± 0.93 0.30 ± 0.69
Height 28 −1.77 ± 1.30 0.51 ± 0.98 −0.06 ± 0.65 0.22 ± 0.62
Sitting height 16 −1.78 ± 1.89 −0.25 ± 1.63 −0.32 ± 0.88 −0.29 ± 0.97
Hand length 27 −1.55 ± 1.05 0.51 ± 1.08 0.43 ± 0.91 0.47 ± 0.73
Finger length 27 −1.89 ± 1.31 −0.23 ± 0.96 0.28 ± 0.83 0.02 ± 0.65
Hand breadth 26 − 1.76 ± 1.64 0.62 ± 0.90 0.48 ± 1.06 0.55 ± 0.75
Foot length 27 −2.45 ± 1.30 0.04 ± 1.01 0.08 ± 0.86 0.06 ± 0.72
Foot breadth 22 − 1.77 ± 0.57 −0.44 ± 0.68 −0.26 ± 0.76 −0.33 ± 0.57
Head circumference 27 − 0.95 ± 1.18 0.16 ± 0.86 −0.06 ± 0.85 0.05 ± 0.70
Head length 27 − 0.62 ± 1.04 0.01 ± 0.92 −0.12 ± 0.92 −0.06 ± 0.78
Head breadth 27 − 1.98 ± 0.87 0.11 ± 0.50 −0.41 ± 0.80 −0.15 ± 0.49
Minimal frontal diameter 21 − 1.05 ± 1.06 0.08 ± 1.05 0.80 ± 2.14 0.44 ± 1.35
Arm circumference 27 1.80 ± 2.23 0.44 ± 0.90 0.06 ± 1.10 0.25 ± 0.67
Calf circumference 26 0.87 ± 1.86 0.32 ± 1.00 0.08 ± 0.99 0.20 ± 0.73
Triceps skinfold 27 2.25 ± 1.36 0.07 ± 0.77 −0.02 ± 0.70 0.02 ± 0.56
Subscapular skinfold 26 2.77 ± 2.50 0.01 ± 0.71 0.14 ± 1.02 0.08 ± 0.68

Table 2 shows marital, midparental, parent, and child correlation and heritability data for each anthropometric variable, as well as representative heritability estimates from the literature of normal children and their parents. No significant mother-father correlations were found in our sample with the exception of head length. No father-child correlations were found, but mother-child correlations were significant (p < 0.05) for height, weight, foot length, and minimal frontal diameter for the total group; in addition, hand length and breadth, and calf and arm circumferences were significant in patients age 12.5 years or under. Significant positive midparent-child correlations were observed for height and foot length. Midparent-child heritability estimates were greater than 0.50 for height, sitting height, foot length, and minimal frontal diameter. Foot length had the highest heritability estimate and triceps skinfold had the lowest.

Table 2.

Marital, Parent-Child, and Midparent-Child Correlation and Heritability Estimates and Comparisons with Published Data

Correlation Heritability


Variable N Mother-
Father
(r)
Mother-
Child
(r)
Father-
Child
(r)
Mid-
parent-
Child
(r)
Mid-
parent-
Child
(h2=r/1/2)
Parent-
Child26,a
(h2 =
VA/VP)
Twin
Data23,b(h2 =
rM − rD/
1 − rD)
Parent-
Child19
(h2=r/1/2)
Mid-
parent-Child27
(h2=r/1/2)

Mother-
Child
Father-
Child
Weight 27 0.08 0.39c 0.04 0.29 0.41 0.64 0.69 0.50 0.44 0.48
Height 28 0.11 0.38c 0.22 0.37c 0.52 0.82 0.88 0.52 0.53 0.68
Sitting height 16 0.10 0.44 0.23 0.39 0.55 0.72 0.51 0.55 0.59
Hand length 27 0.06 0.34 0.11 0.29 0.41 0.82 0.51 0.37
Finger length 27 0.05 0.18 0.20 0.27 0.38 0.80 0.88
Hand breadth 26 0.15 0.37 − 0.01 0.26 0.37 0.80 0.59 0.28
Foot length 27 0.19 0.62d 0.16 0.48c 0.68 0.81 0.44 0.48
Foot breadth 22 0.26 0.31 0.06 0.27 0.38 0.50 0.45
Head circumference 27 0.34 0.10 0.25 0.21 0.30 0.74 0.38 0.56
Head length 27 0.41c −0.03 0.26 0.14 0.20 0.55 0.54 0.27 0.56
Head breadth 27 0.07 0.08 0.22 0.18 0.25 0.61 0.72 0.43 0.36
Minimal frontal diameter 21 0.36 0.43c 0.14 0.39 0.55 0.67 0.61 0.49 0.17
Arm circumference 27 −0.12 0.13 0.03 0.13 0.18 0.50 0.62 0.49 0.48 0.32
Calf circumference 26 0.08 0.37 −0.13 0.16 0.23 0.46 0.75 0.50 0.60 0.44
Triceps skinfold 27 0.16 0.16 0.04 0.12 0.17 0.63 0.28 0.32 0.28
Subscapular skinfold 26 0.21 0.26 0.23 0.31 0.44 0.60 0.25
a

The VA and VP are additive genetic variance and phenotypic variance, respectively.

b

The rM and rD are intraclass correlations for monozygous and dizygous twins, respectively.

c

P < 0.05.

d

P < 0.001.

DISCUSSION

No evidence of assortative mating for anthropometric characteristics could be detected in these families in whom a child had PWS. The Z score data do not indicate short stature, small hands and feet, obesity, or dolichocephaly as characteristics in the parents of affected children. The study showed no evidence of father-child correlations, but several mother-child correlations (weight, height, foot length, minimal frontal diameter) were observed in the total group, while additional mother-child correlations were calculated in the younger patients. The data provide evidence for maternal effects on several body measurements, particularly in younger patients, for body habitus (weight and height), minimal frontal diameter, circumferences, and hand measurements. Previous studies of normal children showed similar evidence of maternal effects.18,19

The maternal effects on several body measurements is of interest in view of recent DNA findings of maternal disomy of chromosome 15 in several patients with PWS with normal chromosomes.20 Correlation studies were undertaken to identify if maternal effects were more prevalent in the nondeletion PWS group than in the deletion group, but no significant differences were found in our 11 patients with non-deletion and 17 with the deletion versus their parents. Therefore, the maternal disomy of chromosome 15, if present in the nondeletion PWS, apparently does not affect the overall correlations compared with deletion PWS.

The maternal effects on several anthropometric measurements could also be an example of genetic imprinting2022 or genetic information that behaves differently if donated by the mother instead of the father. Additional research is necessary to understand better the maternal influences of certain characteristics and the role of gene activity in this process.

Midparent-child correlations were significant (p < 0.05) for height and foot length, with heritability estimates of 0.52 and 0.68, respectively. Sitting height and minimal frontal diameter both had heritability estimates of 0.55, although the correlations on which these estimates are based did not reach statistical significance. These physical characteristics are apparently influenced by parental factors, even though PWS is a condition characterized by short stature, small hands and feet, obesity, and dolichocephaly.

Midparent-child correlations differed among the anthropometric measurements, indicating variable degrees of parental influence over these morphologic characteristics, with significant or borderline significant correlations for longitudinal body measurements such as height, sitting height, and foot length. Significant correlations between parents and children were not observed for the measurements involving soft tissue such as skinfolds. Therefore, linear measurements demonstrated the highest heritability while breadth measurements, circumferences, and skinfolds generally had lower heritabilities. These results agree with previously reported studies of populations of healthy children and their parents.2327 The heritability data indicate that a child with PWS who has taller than average parents may be expected to be taller than the average child with the syndrome. A previous report, however, suggested that most affected individuals do not exhibit growth in height consistent with their familial background.28

The heritability estimates in this study were generally lower than those reported in other studies of populations of healthy children and their parents.16,23,25,26 This may be an indication that familial influences on anthropometric dimensions in individuals with PWS are tempered by the effects of the basic genetic defect in this condition.

ACKNOWLEDGMENTS

We thank Pam Phillips for expert preparation of the manuscript. We also thank all the families who participated in this study.

References

  • 1.Zellweger H, Soper RT. The Prader-Willi syndrome. Med Hyg. 1979;37:3338–3345. [Google Scholar]
  • 2.Butler MG, Meaney FJ, Palmer CG. Clinical and cytogenetic survey of 39 individuals with Prader-Labhart-Willi syndrome. Am J Med Genet. 1986;23:793–809. doi: 10.1002/ajmg.1320230307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ledbetter DH, Mascarello JT, Riccardi VM, Harper VD, Airhart DD, Strobel RJ. Chromosome 15 abnormalities and the Prader-Labhart-Willi syndrome: a follow-up report of 40 cases. Am J Hum Genet. 1982;34:278–285. [PMC free article] [PubMed] [Google Scholar]
  • 4.Mattei MG, Souiah N, Mattei JF. Chromosome 15 anomalies and the Prader-Labhart-Willi syndrome: cytogenetic analysis. Hum Genet. 1984;66:313–334. doi: 10.1007/BF00287636. [DOI] [PubMed] [Google Scholar]
  • 5.Wenger SL, Hanchett JM, Steele MW, Maier BV, Golden WL. Clinical comparison of 59 Prader-Willi patients with and without the 15 (q12) deletion. Am J Med Genet. 1987;28:881–887. doi: 10.1002/ajmg.1320280413. [DOI] [PubMed] [Google Scholar]
  • 6.Butler MG, Meaney FJ. An anthropometric study of 38 individuals with Prader-Labhart-Willi syndrome. Am J Med Genet. 1987;26:445–455. doi: 10.1002/ajmg.1320260224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Weiner JS, Lourie JA. Human biology: A guide to field methods. International biological programme hand-book no. 9. Oxford: Blackwell; 1969. pp. 3–29. [Google Scholar]
  • 8.Krogman WM. Growth of head, face, trunk, and limbs in Philadelphia white and negro children of elementary and high school age. Serial no. 136. Monogr Soc Res Child Dev. 1970;35(3) [PubMed] [Google Scholar]
  • 9.Vital and Health Statistics. Series 11, no. 35. Washington, DC: U.S. Government Printing Office; 1970. National Center for Health Statistics: Skinfolds, body girths, biacromial diameter, and selected anthropometric indices of adults, United States, 1960–62. PHS publ. no. 1000. [PubMed] [Google Scholar]
  • 10.Vital and Health Statistics. Series 11, no. 120. Washington, DC: U.S. Government Printing Office; 1972. National Center for Health Statistics: Skinfold thickness of children 6–11 years, United States. DHEW publ. no. (HSM) 73–1602. [PubMed] [Google Scholar]
  • 11.Vital and Health Statistics. Series 11, no. 132. Washington, DC: U.S. Government Printing Office; 1974. National Center for Health Statistics: Skinfold thickness of youths 12–17 years, United States. DHEW publ. no. (HRA) 74–1614. [PubMed] [Google Scholar]
  • 12.Vital and Health Statistics. Series 11, no. 143. Washington, DC: U.S. Government Printing Office; 1974. National Center for Health Statistics: Body dimensions and proportions, white and negro children 6–11 years, United States. DHEW publ. no. (HRA) 75–1625. [PubMed] [Google Scholar]
  • 13.Vital and Health Statistics. Series 11, no. 165. Washington, DC: U.S. Government Printing Office; 1977. National Center for Health Statistics: NCHS growth curves for children, birth–18 years, United States. DHEW publ. no. (PHS) 78–1650. [PubMed] [Google Scholar]
  • 14.Tanner JM, Whitehouse RH. Revised standards for triceps and subscapular skinfolds in British children. Arch Dis Child. 1975;50:142–145. doi: 10.1136/adc.50.2.142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Snyder RG, Schneider LW, Owings CL, Reynolds HM, Gollomb DH, Schork MA. Anthropometry of infants, children and youths to age 18 for product safety design SP-450. Warrendale, PA: Society of Automobile Engineers; 1977. [Google Scholar]
  • 16.Mueller WH. Parent-child correlations for stature and weight among school aged children: a review of 24 studies. Hum Biol. 1976;48:379–397. [PubMed] [Google Scholar]
  • 17.Vogel F, Motulsky AG. Human genetics: Problems and approaches. 2nd ed. Berlin: Springer-Verlag; 1986. pp. 182–183. [Google Scholar]
  • 18.Falconer DS. Introduction to quantitative genetics. New York: Ronald Press; 1960. [Google Scholar]
  • 19.Sharma K, Byard PJ, Russell JM, Rao DC. A study of anthropometric traits in a Punjabi community. I. Introduction and familial correlations. Am J Phys Anthropol. 1984;63:389–395. doi: 10.1002/ajpa.1330630406. [DOI] [PubMed] [Google Scholar]
  • 20.Nicholls RD, Knoll JHM, Butler MG, Karam S, Lalande M. Genetic imprinting suggested by maternal heterodisomy in nondeletion Prader-Willi syndrome. Nature. 1989;342:281–285. doi: 10.1038/342281a0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Softer D. Differential imprinting and expression of maternal and paternal genomes. Annu Rev Genet. 1988;22:127–146. doi: 10.1146/annurev.ge.22.120188.001015. [DOI] [PubMed] [Google Scholar]
  • 22.Spense J, Periccante R, Greig G, et al. Uniparental disomy as a mechanism for human genetic disease. Am J Hum Genet. 1988;42:217–226. [PMC free article] [PubMed] [Google Scholar]
  • 23.Clark PJ. The heritability of certain anthropometric characters as ascertained from measurement of twins. Am J Hum Genet. 1956;8:49–54. [PMC free article] [PubMed] [Google Scholar]
  • 24.Vandenberg SG. How stable are heritability estimates? A comparison of heritability estimates from six anthropometric studies. Am J Phys Anthropol. 1962;20:331–338. doi: 10.1002/ajpa.1330200316. [DOI] [PubMed] [Google Scholar]
  • 25.Tanner JM, Israelsohn WJ. Parent-child correlations for body measurements of children between the ages of one month and seven years. Ann Hum Genet. 1963;26:245–258. doi: 10.1111/j.1469-1809.1963.tb01982.x. [DOI] [PubMed] [Google Scholar]
  • 26.Susanne C. Heritability of anthropological characters. Hum Biol. 1977;49:573–580. [PubMed] [Google Scholar]
  • 27.Kaur DP, Singh R. Parent-adult offspring correlations and heritability of body measurements in a rural Indian population. Ann Hum Biol. 1981;8:333–339. doi: 10.1080/03014468100005131. [DOI] [PubMed] [Google Scholar]
  • 28.Holm VA, Nugent JK. Growth in Prader-Willi syndrome. Birth Defects. 1982;18(3B):93–100. [PubMed] [Google Scholar]

RESOURCES