Maritha Kotze

Prof. Maritha Kotze

orcid

Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
22 May 2009 in Science
Verified
Journal Article
Closed access
PDF file
STSarah A. Tishkoff
Sarah A. Tishkoff
FRFloyd A. Reed
Floyd A. Reed
FFFrançoise R. Friedlaender
Françoise R. Friedlaender
CEChristopher Ehret
Christopher Ehret
ARAlessia Ranciaro
Alessia Ranciaro
SWScott Williams
Scott Williams
African Origins: The modern human originated in Africa and subsequently spread across the globe. However, the genetic relationships among the diverse populations on the African continent have been unclear. Tishkoff et al. (p. 1035; see the cover, published online 30 April) provide a detailed genetic analysis of most major groups of African populations. The findings suggest that Africans represent 14 ancestral populations. Populations tend to be of mixed ancestry which documents historical migrations. The data mainly support but sometimes challenge proposed relationships between groups of self-identified ethnicity previously hypothesized on the basis of linguistic studies. The authors also examined populations of African Americans and individuals of mixed ancestry from Cape Town, documenting the variation and origins of admixture within these groups.

1 April 2014 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
ARAlessia Ranciaro
Alessia Ranciaro
MCMichael C. Campbell
Michael C. Campbell
JHJibril B. Hirbo
Jibril B. Hirbo
WKWen-Ya Ko
Wen-Ya Ko
AFAlain Froment
Alain Froment
STSarah A. Tishkoff
Sarah A. Tishkoff

1 May 1999 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
MVMathilde Varret
Mathilde Varret
JRJean-Pierre H. Rabès
Jean-Pierre H. Rabès
BSBruno Saint-Jore
Bruno Saint-Jore
ACAna Cenarro
Ana Cenarro
JMJean-Christophe Marinoni
Jean-Christophe Marinoni
CBCatherine Boileau
Catherine Boileau

6 August 2014 in Nutrients
Verified
Journal Article
Open access
PDF file
JHJanetta Harbron
Janetta Harbron
LMLize Van Der Merwe
Lize Van Der Merwe
MZMonique G. Zaahl
Monique G. Zaahl
MKMaritha Kotze
Maritha Kotze
MSMarjanne Senekal
Marjanne Senekal
The fat mass and obesity-associated (FTO) gene is currently recognized as the most robust predictor of polygenic obesity. We investigated associations between the FTO rs1421085 and rs17817449 polymorphisms and the FTO rs1421085–rs17817449 haplotype and dietary intake, eating behavior, physical activity, and psychological health, as well as the effect of these associations on BMI. N = 133 treatment seeking overweight/obese Caucasian adults participated in this study. Genotyping was performed from whole blood samples. Weight and height was measured and a non-quantified food frequency questionnaire was completed to assess food group intake. Validated questionnaires were completed to assess physical activity (Baecke questionnaire), psychological health (General Health questionnaire, Rosenburg self-esteem scale and Beck Depression Inventory), and eating behavior (Three Factor Eating questionnaire). The risk alleles of the FTO polymorphisms were associated with poorer eating behaviors (higher hunger, internal locus for hunger, and emotional disinhibition scores), a higher intake of high fat foods and refined starches and more depressive symptoms. The modeled results indicate that interactions between the FTO polymorphisms or haplotypes and eating behavior, psychological health, and physical activity levels may be associated with BMI. The clinical significance of these results for implementation as part of weight management interventions needs further investigation.

16 July 2002 in Human Mutation
Verified
Journal Article
Closed access
PDF file
LVLudovic Villéger
Ludovic Villéger
MAMarianne Abifadel
Marianne Abifadel
DADelphine Allard
Delphine Allard
JRJean-Pierre H. Rabès
Jean-Pierre H. Rabès
RTRochelle Thiart
Rochelle Thiart
MVMathilde Varret
Mathilde Varret
Mutations in the LDL receptor gene (LDLR) cause familial hypercholesterolemia (FH), one of the most frequent hereditary dominant disorders. The protein defect was identified in 1973, the gene was localized by in situ hybridization in 1985, and since, a growing number of mutations have been reported. The UMD‐LDLR database is customized software that has been developed to list all mutations, and also to provide means to analyze them at the nucleotide and protein levels. The database has been recently modified to fulfill the recommendations of the Nomenclature Working Group for human gene mutations. However, in the current version, both the nomenclature and usual LDLR gene mutation names are reported since the latter are more commonly used. The software has also been modified to accommodate the splicing mutations and alleles that carry two nucleotide variations. The current version of UMD‐LDLR contains 840 entries, of which 490 are new entries. Point mutations account for 90% of all mutations in the LDLR gene; the remaining are mostly major rearrangements, due to the presence of Alu sequences. Three new routines have been implemented in the software, thus giving users access to 13 sorting tools. In addition to the database, a Web site containing information about polymorphisms, major rearrangements, and promoter mutations is available. Both are accessible to the scientific community (www.umd.necker.fr) and should help groups working on LDLR to check their mutations and identify new ones, and greatly facilitate the understanding of functional classes/genotype relationships and of genotype/phenotype correlations.

1 October 1993 in Arteriosclerosis and Thrombosis: A Journal of Vascular Biology
Verified
Journal Article
Closed access
PDF file
MKMaritha Kotze
Maritha Kotze
WVW J De Villiers
W J De Villiers
KSK Steyn
K Steyn
JKJ A Kriek
J A Kriek
AMA D Marais
A D Marais
GCG A Coetzee
G A Coetzee
Two common founder-related gene mutations that affect the low-density lipoprotein receptor (LDLR) are responsible for approximately 80% of familial hypercholesterolemia (FH) in South African Afrikaners. The FH Afrikaner-1 (FH1) mutation (Asp206-->Glu) in exon 4 results in defective receptors with approximately 20% of normal activity, whereas the FH Afrikaner-2 (FH2) mutation (Val408-->Met) in exon 9 completely abolishes LDLR activity (< 2% normal activity). We analyzed the contribution of these mutations and other factors on the variation of hypercholesterolemia and clinical features in Afrikaner FH heterozygotes. The type of FH mutation, plasma triglyceride levels, and age of patients each contributed significantly to the variation in hypercholesterolemia, whereas smoking status, high-density lipoprotein cholesterol levels, and gender had no influence. Although all FH heterozygotes had frank hypercholesterolemia, patients with the FH1 mutation had significantly lower cholesterol levels than those with the FH2 mutation. FH1 heterozygotes also tended to have milder clinical features. The differences between the two FH groups could not be explained by a difference in the common apolipoprotein E variants. This study demonstrates that mutational heterogeneity in the LDLR gene influences the phenotypic expression of heterozygous FH.