Mitochondrial DNA and Alzheimer's Disease: A First Case-control Study of the Tunisian Population

Background: Alzheimer’s disease (AD) is the most common neurodegenerative disorder in humans and presents a major health problem throughout the world. The etiology of AD is complex, and many factors are implicated, including mitochondria. Mitochondrial alteration has been proposed as a possible cause of AD Therefore, several studies have focused on finding an association between inherited mitochondrial DNA variants and AD onset.Methods: In this study, we looked, for the first time, for a potential association between mitochondrial haplogroups or polymorphisms and AD in the Tunisian population. We also evaluated the distribution of the major genetic risk factor for AD, the apolipoprotein E epsilon 4 (APOE ε4), in this population. In total, 159 single-nucleotide polymorphisms (SNPs) of mitochondrial DNA haplogroups were genotyped in 254 individuals (58 patients and 196 controls). An additional genotyping of APOE ε4 was performed.Results: No significant association between mitochondrial haplogroups and AD was found. However, two individual SNPs, A5656G (p = 0.03821, OR = 10.46) and A13759G (p = 0.03719, OR = 10.78), showed a significant association with AD. APOE 4 was confirmed as a risk factor for AD (p = 0.000014). Conclusion: Our findings may confirm the absence of a relation between mitochondrial haplogroups and AD and support the possible involvement of some inherited variants in the pathogenicity of AD.

The performance of common SNP arrays in assigning African mitochondrial haplogroups

Background Mitochondrial haplogroup assignment is an important tool for forensics and evolutionary genetics. African populations are known to display a high diversity of mitochondrial haplogroups. In this research we explored mitochondrial haplogroup assignment in African populations using commonly used genome-wide SNP arrays. Results We show that, from eight commonly used SNP arrays, two SNP arrays outperform the other arrays when it comes to the correct assignment of African mitochondrial haplogroups. One array enables the recognition of 81% of the African mitochondrial haplogroups from our compiled dataset of full mitochondrial sequences. Other SNP arrays were able to assign 4–62% of the African mitochondrial haplogroups present in our dataset. We also assessed the performance of available software for assigning mitochondrial haplogroups from SNP array data. Conclusions These results provide the first cross-checked quantification of mitochondrial haplogroup assignment performance from SNP array data. Mitochondrial haplogroup frequencies inferred from most common SNP arrays used for human population analysis should be considered with caution.

Mitochondrial Haplogroup Association with Fasting Glucose Response in African Americans Treated with a Thiazide Diuretic

Hypertensive African Americans have ~50% response rate to thiazide diuretic treatment. This contributes to a high prevalence of uncontrolled high blood pressure. Here, we examine the role the mitochondrial genome has on thiazide diuretic treatment response in hypertensive African Americans enrolled in a clinical trial. Participants from the Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial (ALLHAT, n= 4279) were genotyped using the Illumina Infinium Multi-Ethnic Beadchip. Haplotype groups were called using HaploGrep. We used linear regression analysis to examine the association between mitochondrial haplogroups (L, M, and N) and change in blood pressure and change in fasting glucose over 6 months and two years, respectively. The analysis revealed a null association between mitochondrial haplogroups M and N vs. L for each of the outcomes. In subgroup analysis, the L subclades L1, L2, and L3/L4 (vs. L0) were each inversely associated with fasting glucose response (p < 0.05). This discovery analysis suggests the mitochondrial genome has a small effect on fasting glucose but not blood pressure response to thiazide diuretic treatment in African Americans.

Variability of the lower incisors in the cave bears (Carnivora, Ursidae) from the Caucasus and Urals

Morphometric and morphotypic variability of the cave bear lower incisors from two different geographic regions (Caucasus and Urals), different stratigraphic periods (Middle and Late Pleistocene), and bearing different mitochondrial haplogroups (kudarensis (Baryshnikov, 1985) and ingressus Rabeder, Hofreiter & Withalm, 2004) was studied. Urals Ursus kanivetz Vereshchagin, 1973 is clearly distinguished from Caucasian U. kudarensis by morphology of the upper and lower incisors. The Urals cave bear exhibits more derived features compared to the Caucasian cave bears. Ursus kanivetz exhibits the largest average size of the lower incisors. The lower incisors of U. kanivetz are clearly distinct from those in U. kudarensis. Also, U. kudarensis specimens display a clear separation from all other groups of cave bears. Morphology of the incisors of the cave bears is clearly different from that of Early Pleistocene U. etruscus G. Cuvier, 1823, as well as from that of recent U. arctos L., 1758 (Rabeder, 1999) and U. maritimus Phipps, 1774. Our results suggest that the incisors of the cave bears are similar to each other and demonstrate a hypocarnivorous adaptation as a major evolution trend in the lineage of Spelearctos group. These adaptation features were perhaps developed in parallel in different lineages of the cave bears (U. spelaeus Rosenmüller, 1794 and U. kanivetz on the one hand and U. kudarensis on the other hand) in the Late Pleistocene.

Association of Mitochondrial DNA Genomic Variation With Risk of Pick Disease

ObjectiveTo determine whether stable polymorphisms that define mitochondrial haplogroups in mitochondrial DNA (mtDNA) are associated with Pick disease risk, we genotyped 52 pathologically confirmed cases of Pick disease and 910 neurologically healthy controls and performed case-control association analysis.MethodsFifty-two pathologically confirmed cases of Pick disease from Mayo Clinic Florida (n = 38) and the University of Pennsylvania (n = 14) and 910 neurologically healthy controls collected from Mayo Clinic Florida were genotyped for unique mtDNA haplogroup-defining variants. Mitochondrial haplogroups were determined, and in a case-control analysis, associations of mtDNA haplogroups with risk of Pick disease were evaluated with logistic regression models that were adjusted for age and sex.ResultsNo individual mtDNA haplogroups or superhaplogroups were significantly associated with risk of Pick disease after adjustment for multiple testing (p < 0.0021, considered significant). However, nominally significant (p < 0.05) associations toward an increased risk of Pick disease were observed for mtDNA haplogroup W (5.8% cases vs 1.6% controls, odds ratio [OR] 4.78, p = 0.020) and subhaplogroup H4 (5.8% cases vs 1.2% controls, OR 4.82, p = 0.021).ConclusionOur findings indicate that mtDNA variation is not a disease driver but may influence disease susceptibility. Ongoing genetic assessments in larger cohorts of Pick disease are currently underway.

Mitochondrial haplogroup J associated with higher risk of obesity in the Qatari population

Obesity, a major risk factor for metabolic disorders, is highly prevalent in Qatari population. Maternal transmission of obesity traits can be significant; for example, X haplogroup is known to be associated with lower BMI and body fat mass in Northern Europeans and T haplogroup which is a sister haplogroup of J is known to be associated with obesity in Caucasian subjects from Austria and Southern Italy. We aimed to delineate the mitochondrial haplogroups and variants associated with obesity in Qatari population. Mitochondrial genomes of 864 Qatari individuals were extracted from whole exome sequencing data with an average coverage of 77X. We distributed the participants into 2 sub-cohorts: obese (BMI ≥ 30) and non-obese (BMI < 30); the mean value of BMI from these two groups were 36.5 ± 5.7 and 26.5 ± 2.6, respectively. Mitochondrial haplogroup profiling followed by uni- and multivariant association tests adjusted for covariates were performed. Qatari individuals with mitochondrial haplogroup J had an increased (twofold) risk of obesity (odds ratio [OR] 1.925; 95% CI 1.234–3.002; P = 0.0038; the Bonferroni adjusted P value threshold is 0.0041), whereas the individuals with haplogroup X were at low risk of obesity (OR 0.387; 95% CI 0.175–0.857; P = 0.019). Further, a set of 38 mitochondrial variants were found to be associated (at P ≤ 0.05) with obesity in models adjusted for age, sex and haplogroup.

The Application of Mitochondrial COI Gene-Based Molecular Identification of Forensically Important Scuttle Flies (Diptera: Phoridae) in Korea

Phoridae are a family of necrophagous flies commonly found in indoor death scene. They account for approximately 19.7% of the entomofauna in human cadavers in Korea. Additionally, this taxon is an indicator of indoor hygiene, and these flies appear in environments where access by other necrophagous insects is difficult, such as enclosed rooms. Thus, they are likely to be used as forensic evidence. Despite their importance in forensic investigations and environmental hygiene, detailed studies on the taxonomy and molecular barcoding for this family are scarce, including in Korea. Because accurate taxonomic information regarding necrophagous insects collected from a death-related scene is essential during medicolegal investigations, molecular barcoding data could be useful as well as reliable. In this paper, full-length nucleotide sequences of genes coding for the cytochrome c oxidase subunit I (COI) in 79 Phoridae larvae collected from 20 medicolegal autopsy cases in Korea were phylogenetically analyzed by comparing their sequences to the foreign barcoding data of Phoridae. Six mitochondrial haplogroups were identified, which two of them matched to foreign Phoridae fly species haplotypes, Megaselia scalaris (Loew, 1866) and M. spiracularis Schmitz 1938. Taxonomies of five other haplogroups, with nucleotide distances ranging from 1.68% to 2.26% from the M. scalaris group, could not be confirmed solely based on the molecular barcoding data. Further research should be performed to determine whether these five haplogroups are diverged conspecifics of M. scalaris or a closely related sister cryptic species of M. scalaris.