Beben Benyamin
Biographic Data
| ID | 4362016 |
|---|---|
| NAME | Beben Benyamin |
| GIVEN NAMES | Beben |
| FAMILY NAME | Benyamin |
| SIGNATURE | BENYAMIN B |
| AFFILIATIONS | Australian Centre for Precision Health University of South Australia Adelaide South Australia Australia |
| ORCID | 0000-0001-5608-2293 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Meta‐Analysis of the Heritability of Childhood Height From 560 000 Pairs of Relatives Born Between 1929 and 2004
Genetic and Environmental Contributions to Child Height in Low‐ and Middle‐Income Countries
Background Child height is influenced by genetic and environmental factors. However, it is unclear how these factors vary by geographical region and by study design, particularly in low‐ and middle‐income countries (LMIC), where data is scarce. Understanding these variations will aid the identification of factors that may be hindering growth in specific populations. Methods We analyzed height data of children under 5 years of age from 17 066 twin…
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Meta-analysis of the heritability of human traits based on fifty years of twin studies
Common SNPs explain a large proportion of the heritability for human height
No prominent works on this page.
Common SNPs explain a large proportion of the heritability for human height
Meta-analysis of the heritability of human traits based on fifty years of twin studies
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Meta‐Analysis of the Heritability of Childhood Height From 560 000 Pairs of Relatives Born Between 1929 and 2004
Genetic and Environmental Contributions to Child Height in Low‐ and Middle‐Income Countries
Background Child height is influenced by genetic and environmental factors. However, it is unclear how these factors vary by geographical region and by study design, particularly in low‐ and middle‐income countries (LMIC), where data is scarce. Understanding these variations will aid the identification of factors that may be hindering growth in specific populations. Methods We analyzed height data of children under 5 years of age from 17 066 twin…
Biology (4 works) · Heritability (3 works) · Birth, Development, and Health (2 works) · Child Nutrition and Water Access (2 works) · Demography (2 works) · Gene (2 works) · Genetic Associations and Epidemiology (2 works) · Genetics (2 works) · Genetics (2 works) · Medicine (2 works)