Quantitative genetic analysis of the body composition and blood pressure association in two ethnically diverse populations

Ghosh, Sudipta; Dosaev, Tasbulat; Prakash, Jai; Livshits, Gregory

doi:10.1002/ajpa.23161

Cited by 9 publications

(14 citation statements)

References 35 publications

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“…Body physique is an individual phenomenon, which is influenced by multiple factors, such as age, sex, dietary pattern, ethnicity, and genetic and evolutionary factors (Bhasin & Jain, 2007; Chakrabarty et al, 2008; Ghosh et al, 2017; Kalichman & Kobliansky, 2006). It is also affected by the degree of environmental adaptation of a population (Chandel & Malik, 2012).…”

Section: Introductionmentioning

confidence: 99%

Somatotype Characteristics of Sunni Muslim Population: A Cross-sectional Study

Shimrah

Kaur

et al. 2020

The Oriental Anthropologist: A Bi-annual International Journal

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The aim of this study was to understand the distribution of various somatotype components and determine the age- and sex-related variations of the somatotype among Sunni Muslim population of Uttar Pradesh, India. The study population consisted of 214 individuals (100 males and 114 females), belonging to the age group of 18–73 years. All somatometric measurements were taken according to the protocol of the International Society for the Advancement of Kinanthropometry (ISAK). Anthropometric somatotyping was done using Heath and Carter method. Somatotype dispersion distances (SDD), mean somatotype dispersion (SDM), and standard deviation of somatotype dispersion distance (DSD) were calculated. Somatochart was also plotted for the body physique of the studied population. The results showed that mean somatotype of males is balanced endomorph (4.2–3.2–3.1), while that of females is mesomorphic endomorph (6.6–3.7–1.2). Endomorphy and mesomorphy increased with age up to 55 years and then decreased thereafter; however, ectomorphy showed the opposite trend in both the sexes. The findings of the study indicate that males and females of Sunni Muslim population are predominantly endomorphic.

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Section: Introductionmentioning

confidence: 99%

Somatotype Characteristics of Sunni Muslim Population: A Cross-sectional Study

Shimrah

Kaur

et al. 2020

The Oriental Anthropologist: A Bi-annual International Journal

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“…The nature of familial resemblances and the role of heritability in craniofacial and body morphology play an important role in the research of scientists in biological anthropology, anatomy and genetics for decades. Recent research has focuses on human variation and the inheritance of craniofacial (CF) features (Ermakov et al, 2005;Kohn, 1991) as well as body composition (BC) and morphology (Elder et al, 2014;Ghosh et al, 2017;Rebato et al, 2007;Saranga et al, 2008) for a variety of purposes including medicinal aspects as well as developmental and evolutionary reasons. Thus, studies of human morphological evolution have consistently shown the importance of anatomical modifications in skull structure.…”

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confidence: 99%

Is craniofacial morphology and body composition related by common genes: Comparative analysis of two ethnically diverse populations

Ghosh

Kasher

Malkina

et al. 2021

American J Phys Anthropol

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Objectives: The overarching hypothesis of the present paper is that ethnically and/or genetically diverse human populations may exhibit similarity in correlations between various aspects of human phenotypes due to the morphological integration process during the ontogenetic stages. To test this we investigated whether an association between craniofacial (CF) features and body composition (BC) variations is present in humans and the extent to which such possible associations are comparable in different populations. Furthermore, the paper examines the contribution of common genetic (additive) and shared familial environmental factors in assessing the correlation between CF and BC characteristics in humans.Materials and Methods: Two pedigree-based samples were collected from two distinct populations, including India (Santhal) and Europe (Chuvash). Canonical correlation analysis was used to compare the association between CF and BC characteristics in the two studied samples. The contribution of genetic and familial environmental factors on the correlation between CF and BC features was analyzed through variance decomposition analysis by implementing the Mendelian Analysis package (MAN).Results: Our study suggests that CF morphology is significantly (p < 0.001) associated with BC variation in both samples. CF characteristics and BC phenotypes revealed a consistent trend in both samples where condensed and broad CF morphology was significantly associated with increased fat accumulation, with slight variations between the Santhal and Chuvash samples. Despite the variations observed between the samples, the heritability estimates were impressively equivalent for traits like total facial height (55.6% Santhal vs.56.1% Chuvash ) and nasal index (42.8% Santhal vs. 43.3% Chuvash ).Discussion: The genetic contribution of CF morphology appeared to be extensive and the contribution of common genetic and shared family environmental correlations between CF and BC measures were suggestively substantial. Accordingly, these correlations were consistently observed across ethnically diverse populations, despite drastic morphological differences between the samples under comparison.

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“…Furthermore some authors failed to provide information about measurements performed in their studies,[4, 13, 24]. It seems that such errors are generated in papers published in journals with high impact factors,[4–5, 8, 10–11, 13, 20, 22–23, 26–28, 32–33, 39, 51] as well as “less prestigious” ones,[16, 24–25, 34, 36, 38, 44–46, 50].…”

Section: Discussionmentioning

confidence: 99%

“…Comparison of somatotypes revealed different body types in athletes compared to non-athletes,[22–26], especially in terms of the contribution of endomorphy and mesomorphy. Studies in the social sciences have additional highlighted a number of somatotypes in populations with some dependency on social status,[27] and ethnic, cultural and geographical factors,[28–30]. This method to estimate individual somatotype of patients has also been used to identify predictors of illness,[31–36].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the same name (suprailiac skinfold) was used in early publications of the Heath-Carter method,[41–43], but in subsequent papers the supraspinale skinfold approach was applied,[1–2, 37]. This change in nomenclature led some researchers,[44, 5, 36, 45, 46, 28] to use the same skinfold measurement for evaluating of both somatotype and body tissue composition using the Durnin and Womersley method,[40]. This confusion may lead to false conclusions being drawn by those studies employing the incorrect skinfold measurement and limits effective comparisons between studies in this area.…”

Section: Introductionmentioning

confidence: 99%

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The impact of skinfolds measurement on somatotype determination in Heath-Carter method

2019

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Objectives The study aim was to determine if a difference exists in skinfold thickness measured by two interchangeable approaches; (1) supraspinale skinfold recommended in the Heath-Carter method and (2) iliac crest skinfold measurement. The question arises as to whether each approach has a similar or different effect on endomorphy determination, and whether there is a possibility to estimate the supraspinale skinfold based on other skinfold measurements. Methods A group of 186 male and 161 female students participated in this study. Anthropometric examination included all somatic measurements, as recommended in the Heath-Carter protocol, and the iliac crest skinfold measurement. Estimation of the supraspinale skinfold was performed based on the multiple linear regression procedure. Results Skinfold thickness measured in the supraspinale and iliac crest differed (p<0.001) in both men (5.41±1.65 mm and 9.55±4.05 mm, respectively) and women (8.87±4.08 mm and 15.20±6.85 mm), respectively. Endomorphy was significantly higher (0.46 in men, 0.63 in women) when the iliac crest skinfold was used. Subscapular skinfold and iliac crest skinfolds were included in the linear regression model for supraspinale skinfold estimation (R 2 = 0.724, SE = 0.9 mm and R 2 = 0.947, SE = 2.3 mm for men and women, respectively). Conclusion Two common skinfold approaches produced different measurements between the supraspinale and iliac crest skinfolds, which subsequently affected estimated endomorphy. Regression equations for supraspinale skinfold enabled correction of endomorphy in the case of improperly applied measurement (i.e. iliac crest) and thus, could allow for uniform somatotype estimation according to Carter and Heath approach.

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Quantitative genetic analysis of the body composition and blood pressure association in two ethnically diverse populations

Cited by 9 publications

References 35 publications

Somatotype Characteristics of Sunni Muslim Population: A Cross-sectional Study

Somatotype Characteristics of Sunni Muslim Population: A Cross-sectional Study

Is craniofacial morphology and body composition related by common genes: Comparative analysis of two ethnically diverse populations

The impact of skinfolds measurement on somatotype determination in Heath-Carter method

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