- Research article
- Open Access
- Open Peer Review
Reassessing the role of mitochondrial DNA mutations in autism spectrum disorder
- Vanesa Álvarez-Iglesias†1,
- Ana Mosquera-Miguel1,
- Ivón Cuscó2, 3,
- Ángel Carracedo1, 3, 4,
- Luis Alberto Pérez-Jurado2, 3, 5, 6 and
- Antonio Salas†1Email author
© Álvarez-Iglesias et al; licensee BioMed Central Ltd. 2011
- Received: 13 November 2010
- Accepted: 6 April 2011
- Published: 6 April 2011
There is increasing evidence that impairment of mitochondrial energy metabolism plays an important role in the pathophysiology of autism spectrum disorders (ASD; OMIM number: 209850). A significant proportion of ASD cases display biochemical alterations suggestive of mitochondrial dysfunction and several studies have reported that mutations in the mitochondrial DNA (mtDNA) molecule could be involved in the disease phenotype.
We analysed a cohort of 148 patients with idiopathic ASD for a number of mutations proposed in the literature as pathogenic in ASD. We also carried out a case control association study for the most common European haplogroups (hgs) and their diagnostic single nucleotide polymorphisms (SNPs) by comparing cases with 753 healthy and ethnically matched controls.
We did not find statistical support for an association between mtDNA mutations or polymorphisms and ASD.
Our results are compatible with the idea that mtDNA mutations are not a relevant cause of ASD and the frequent observation of concomitant mitochondrial dysfunction and ASD could be due to nuclear factors influencing mitochondrion functions or to a more complex interplay between the nucleus and the mitochondrion/mtDNA.
- Autism Spectrum Disorder
- Mitochondrial Energy Metabolism
- European Haplogroups
- Mitochondrial Respiratory Chain Disorder
- Raven Progressive Matrix
Autism/autistic spectrum disorders (ASD) are complex neurodevelopmental conditions affecting approximately one in 150 children. They are characterized by a disturbance in communication skills and reciprocal social interaction, along with restrictive and repetitive behaviours. There is increasing evidence that ASD have an important genetic component with aetiological heterogeneity, including association with several metabolic disorders [1, 2]. Rare mutations in a few genes, copy number variants (CNVs) disrupting functional pathways and linkage or association to a number of different loci can account for the genetic aetiology or liability to ASD in up to 20% of cases [1, 3–6].
Recent studies have also suggested that impairment of mitochondrial energy metabolism plays a role in the aetiology of ASD [7–9]. The study by Oliveira et al.  found that 7% of children in a population-based survey of school-age children with ASD met the criteria for mitochondrial respiratory chain disorders, and that they were also clinically indistinguishable from other children with ASD. This already recognized feature of ASD has lead several researchers to analyse mutations of the mtDNA as potential risk factors in ASD. Thus, Graf et al.  reported a family with a heterogeneous group of neurological disorders associated with the mtDNA 8363G > A transfer ribonucleic acid (RNA)Lys mutation; the phenotype of one child in the family (heteroplasmic for this mutation) was consistent with ASD; however, there was not a solid reason to consider this mutation as responsible for ASD in that patient. Pons et al.  explored the association of mtDNA mutations with autistic spectrum disorders, with special emphasis on mutation A3243G and mtDNA depletion. These authors reported two ASD patients bearing the 3243A > G mutation located in the mtDNA tRNALeu(UUR) gene. This mutation typically causes mitochondrial encephalopathy with lactic acidosis and stroke-like episodes (MELAS) and has also been associated with developmental delay and seizures and maternally inherited progressive external ophthalmoplegia . According to Pons et al. , ASD with or without additional neurological features can be an early presentation of the A3243G mutation and can be a prominent clinical manifestation of mtDNA depletion.
There are evidences suggesting that inherited mtDNA sequence variants also have a subtle influence on respiratory chain activity during a critical stage of neurodevelopment which is highly energy dependent; therefore, these variants could contribute to the complex aetiology of neurodevelopmental disorders such as ASD. Thus, with this hypothesis in mind, Weissman et al.  analyzed selected mtDNA mutations in 25 ASD patients with mitochondrial disorders. The authors detected the following mutations: 3397A > G and 4295A > G (both regarded as variants of probable pathogenicity), and 3394T > C, 10394C > T, 11809T > C and 11984T > C (regarded as variants of unclear pathogenicity) (see Table four in Weissman et al. ). According to the authors "Each DNA sequence variant was evaluated for pathogenicity by a search of the MITOMAP, and mtDB-Human Mitochondrial Genome databases, PubMed, and compendia of mtDNA mutations including guidelines for determination of pathogenicity". It is not clear, however, whether these mutations can be regarded as pathogenic. For instance, the scoring system proposed by Mitchell et al.  gives the 3397A > G mutation a low score (5 out of 40), while its 'pathogenic' status in MITOMAP is regarded as provisional. Phylogenetic considerations do not favour its disease status [14–16]: this variant appears independently in at least 11unrelated phylogenetic branches in apparently healthy individuals (see for instance http://www.genpat.uu.se/mtDB/).
Kent et al.  investigated the most common mtDNA variants defining the main European haplogroups hgs (clades of maternal lineages phylogenetically closely related) in ASD probands versus two healthy control groups. Their results showed no evidence of an association between mtDNA hg and ASD.
Therefore there is a certain amount of evidence that seems to suggest a role of mtDNA variants in ASD; however, this evidence is weak and/or has not been replicated yet in different independent cohorts of patients. The main aim of the present work is to explore the potential association of mtDNA mutations and well-known polymorphisms with both control and coding regions, and/or the hg background in patients ascertained for ASD.
Medical history and demographic data of ASD patients
Sex (M/F ratio)
Age (Mean ± SD; years)
42.8 ± 8
10.2 ± 4.2
Mild mitochondrial dysfunction 23
Two different control group samples were used in the present study. A control group of DNA samples from 137 (population control) individuals matched for population ancestry (Spanish anonymous blood donors) were collected and analysed for the presumed pathogenic mutations. The second control group, referred as CG2, as used in Salas et al. , consisted of 616 healthy Spanish individuals. The two control groups were combined (n = 753) for the case-control association study involving the polymorphisms which define the main European hgs.
Genomic DNA was extracted from blood samples using a salting-out method and employing the Puregene DNA Purification Kit (Gentra Systems; Minneapolis; USA).
All subjects participated after written informed consent was obtained from their families or other legal caregivers. The DNA extracts were submitted to the laboratory in Santiago de Compostela for genotyping. In addition, this study was approved by the Ethical committee of the University of Santiago de Compostela and conformed to the Spanish Law for Biomedical Research (Law 14/2007- 3rd July).
The mtDNA hypervariable region I (HVS-I) segment was sequenced in forward and reverse directions and were previously reported in Álvarez-Iglesias et al. .
Genotyping of mtDNA variants
The following 25 well-known pathogenic mutations in mitochondrial disorders were genotyped in all of the patients: 3243A > G, 3460G > A, 3697G > A, 3946G > A, 3949T > C, 7445A > G, 7445A > C, 8993T > G, 8993T > C, 9176T > C, 9176T > G, 10158T > C, 10191T > C, 10663T > C, 11777C > A, 11778G > A, 11832G > A, 12706T > C, 13513G > A, 13514A > G, 14459G > A, 14482C > A, 14482C > G, 14484T > C, and 14487T > C. Genotyping was carried out using the minisequencing assay reported in Álvarez-Iglesias et al. .
In addition, the six mtDNA mutations reported by Weissman et al.  as being probable (3397A > G, 4295A > G) or unclear (3394T > C, 10394C > T, 11809T > C and 11984T > C) pathogenic mutations were also genotyped (see their Table four). A new minisequencing assay was designed ad hoc, following the methodology reported before [21, 22].
The hg status of several mtDNA profiles cannot be inferred solely from control region data. We therefore genotyped the mtSNPs defining the main branches of the European mtDNA phylogeny, as done in the study by Quintáns et al. . These polymorphisms were used for a case-control association study.
Pearson's chi-square test for cases versus controls of SNPs and most frequent hgs
OR (95% CI)e
3010G > A
3915G > A
3992C > T
4216T > C
4336T > C
4529A > T
4580G > A
4769A > G
4793A > C
6776T > C
7028C > T
10398A > G
10400C > T
10463T > C
10873T > C
12308A > G
12705C > T
13966A > G
14766C > T
Analysis of mtDNA mutations in ASD patients
Additional file 1: Table S1 shows the mtDNA control region sequences and the minisequencing results of patients and a control group which consist of 137 healthy individuals (see Materials and methods). All of these individuals and a second Spanish control group consisting of 616 people were genotyped for a set of mtSNPs diagnostic of the main mtDNA European hgs. All of this information put together indicated that the patients were very representative of the frequency pattern of a typical Spanish population [20, 25]. Haplogroup H was the most common in the cases (40%) and controls (44%), and H1 was its most prevalent sub-lineage (16% in the cases and 19% in the controls). Other well-known hgs were present, such as U (where K is nested phylogenetically), J, T, V and W. However, a few non-European lineages were observed in our patients. Although there were not coding region SNPs to assist hg classification, some of these non-European mtDNAs can be clearly allocated to typical East Asian lineages. However, given the fact that immigration from South America to Spanish cosmopolitan cities (such as Barcelona) significantly increased during the last decade, it is highly probably that these Asian lineages belonged to Native American branches of the Asian phylogeny, i.e. hg A2, B2, C1 and D1 [26–28]. In addition, a few individuals undoubtedly carried typical sub-Saharan lineages belonging to different L-hgs (Additional file 1: Table S1)[29, 30].
In addition, a total of 25 well-known pathogenic mtDNA mutations were minisequenced in all patients and 137 controls. All patients were carriers of non-pathogenic wild-type variants. We also genotyped the six mutations reported in Weissman et al.  as being of probable pathogenicity or of uncertain pathogenic significance; only 3397A > G was observed in one patient (AU010), while 3394T > C was identified in two healthy controls. It is important to note that AU010 did not suffer any mitochondrial disorder. Given the fact that the pathogenic status of these variants is debatable, it was not surprising to detect similar frequencies in cases and controls.
Case-control association study
A case-control association study was carried out for 148 patients and 753 controls. The mtSNPs genotyped represent well-known branches of the West European mtDNA phylogeny. Pearson's chi-square or Fisher's exact tests were used to assess mtSNP associations. The best P-value (Pearson's χ2 test, nominal P-value = 0.028) was found for mtSNP 12705C > T, which lead from macro-hg N to R; this mtSNP apparently increases the risk of suffering from ASD as indicated by the OR value (OR = 1.82; 95% CI = 1.06-3.13); however, this significance was not maintained after correcting for multiple hypotheses using a permutation test procedure (adjusted P-value = 0.315) (Table 2), as done in previous studies[19, 31].
The association test was only carried out on the most frequent hgs in order to increase the probability of detecting any association. The frequency of mtSNPs and hgs in Iberia is already known from empirical population studies . The a priori power to detect odds ratios as low as two for mtSNPs and hgs with frequencies higher than 20% was about 96%; whereas a statistical power of 80% and OR = 1.5 can only be obtained for the most frequent mtSNPs or hgs.
The brain is strongly dependent on the ATP production of the cell energy-producing organelle, the mitochondrion. Therefore, adequate mitochondrial metabolism is essential for normal brain functions. There is a large body of evidence involving mitochondrial dysfunctions in ASD [6, 32, 33]. While some evidence points to candidate nuclear DNA (nDNA) loci influencing mitochondrial functions [2, 34, 35], other evidence seems to imply that mtDNA mutations are potential causes of ASD . Although the implication of nDNA factors has found relatively strong support, the presumable role of the mtDNA genome is still weak. The present study aimed to provide more evidence to support the role of mtDNA mutations or polymorphisms in ASD by screening one of the largest cohort of patients analysed to date. We tried to screen the mtDNA of these patients for a wide spectrum of mutations and polymorphisms in order to explore the presumable roles of high penetrance mtDNA mutations or low penetrance common polymorphisms in ASD.
We targeted 25 well-known high penetrance pathogenic mutations in the mtDNA genome. All of these mutations are commonly responsible for a wide spectrum of mitochondrion diseases. We did not observe any of these mutations, either in homoplasmic or heteroplasmic conditions, in the patients or controls analysed in the present study. It is therefore unlikely that well-known pathogenic mutations are responsible for a significant proportion of ASD.
In addition, a set of six other mutations regarded as unclear or probable pathogenic by Weissman et al.  were also targeted in our patients. We did not observe any of these mutations in our patients or in a sample of healthy controls, with only anecdotic exceptions. As inferred from the complete genome sequences available in GenBank and the literature, several of these mutations are likely to be rare variants that normally characterize mtDNA genomes in populations or even in some minor hgs (e.g. 10394C > T is the unique diagnostic site for H16, [20, 36]). The fact that these variants are non-synonymous or highly conserved in comparisons among species does not guarantee their disease status . Many of these variations are normally located at the tips of the phylogenies in the mtDNA tree (see e.g. http://www.phylotree.org), although their rarity is often interpreted as indicative of their pathogenic condition by many authors without any solid evidence [14, 15, 37]. The mere appearance of a mutation in MITOMAP reporting it as pathogenic has been over-interpreted . The results of the present article indicate that it is unlikely that these mutations play an important role in ASD.
We also carried out a case-control association study in ASD patients and we could not find any evidence relating common polymorphisms to ASD. Although we did not detect a statistical association between cases and controls, it is important to be aware of the presence of non-European mtDNA lineages in cohorts of patients and controls because these haplotypes could provide the basis for a false positive finding of association (due to population stratification). Therefore, the mtDNA hg background as analysed in the present study does not seem to be a risk or protection factor in ASD. A type II error due to a lack of statistical power cannot be fully rule out, though this possibility is more unlikely for the most frequent mtSNPs and hgs. Analysis of entire mtDNA genomes could also provide new insights about the potential role (if any) of other rare variants; however, very large sample sizes would be necessary to achieve an suitable statistical power. Next-Generation Sequencing (NGS) could perhaps bring the opportunity for large cohort of samples to be analyzed for entire mtDNA genomes; unfortunately, the few recent attempts of NGS mtDNA genomes do not seem to hold the necessary quality standards (Bandelt and Salas: Current Next Generation Sequencing technology may not meet forensic standards, submitted) when evaluated under a phylogenetic perspective [38, 39]. The role of mtDNA gene dosage in ASD as very recently assessed by Giulivi et al.  would also be a good target for future replication. Therefore, although previous findings are in agreement with our results , we consider that further studies are needed in order to definitely rule out any role of mtDNA hgs in ASD.
As reviewed by Palmieri and Persico , regarding ASD, oxidative phosphorylation (OXPHOS) in the mitochondrion requires at least 80 proteins, of which only 13 are encoded by the mtDNA, while mitochondrial functioning has been estimated to need the participation of approximately 1500 nuclear genes . Any of these nuclear genes or copy number variations (CNVs) could explain the mitochondrial defects observed in a small minority of ASD patients .
Although it is widely accepted that some forms of ASD appear concomitantly with the impairment of mitochondrial energy metabolism, there are reasons to believe that the cause of these mitochondrial disorders does not systematically rest on mutations or variants in the mtDNA molecule. Pathogenic mtDNA mutations have been reported in ASD patients, but this seems to be the exception rather than the rule. It is more likely that the real causes of mitochondrial deficiencies in some ASD cases are due to the intervention of several nuclear factors acting alone (additively or epistatically) or through a complex interplay with mtDNA variants. For the time being, while the cause for mitochondrion dysfunction in ASD remains unclear, there is no reason to indicate systematic screening for mtDNA mutations in ASD patients unless a mitochondrion disorder is suggested by a clear phenotype.
We thank the patients and families for their participation in the present project. This project was supported by grants from Fundación de Investigación Médica Mutua Madrileña (2008/CL444) and Ministerio de Ciencia e Innovación (SAF2008-02971), given to AS, and Fondo de Investigación Sanitaria (PI076832) to LAPJ. There are no conflicts of interest in this study.
- Abrahams BS, Geschwind DH: Advances in autism genetics: on the threshold of a new neurobiology. Nat Rev Genet. 2008, 9 (5): 341-355. 10.1038/nrg2346.View ArticlePubMedPubMed CentralGoogle Scholar
- Oliveira G, Diogo L, Grazina M, Garcia P, Ataide A, Marques C, Miguel T, Borges L, Vicente AM, Oliveira CR: Mitochondrial dysfunction in autism spectrum disorders: a population-based study. Dev Med Child Neurol. 2005, 47 (3): 185-189. 10.1017/S0012162205000332.View ArticlePubMedGoogle Scholar
- Veenstra-VanderWeele J, Cook EH: Molecular genetics of autism spectrum disorder. Mol Psychiatry. 2004, 9 (9): 819-832. 10.1038/sj.mp.4001505.View ArticlePubMedGoogle Scholar
- Geschwind DH: Advances in autism. Annu Rev Med. 2009, 60: 367-380. 10.1146/annurev.med.60.053107.121225.View ArticlePubMedPubMed CentralGoogle Scholar
- Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, et al: Functional impact of global rare copy number variation in autism spectrum disorders. Nature. 2010Google Scholar
- Smith M, Spence MA, Flodman P: Nuclear and mitochondrial genome defects in autisms. Ann N Y Acad Sci. 2009, 1151: 102-132. 10.1111/j.1749-6632.2008.03571.x.View ArticlePubMedGoogle Scholar
- Minshew NJ, Goldstein G, Dombrowski SM, Panchalingam K, Pettegrew JW: A preliminary 31P MRS study of autism: evidence for undersynthesis and increased degradation of brain membranes. Biol Psychiatry. 1993, 33 (11-12): 762-773. 10.1016/0006-3223(93)90017-8.View ArticlePubMedGoogle Scholar
- Laszlo A, Horvath E, Eck E, Fekete M: Serum serotonin, lactate and pyruvate levels in infantile autistic children. Clin Chim Acta. 1994, 229 (1-2): 205-207. 10.1016/0009-8981(94)90243-7.View ArticlePubMedGoogle Scholar
- Chugani DC, Sundram BS, Behen M, Lee ML, Moore GJ: Evidence of altered energy metabolism in autistic children. Prog Neuropsychopharmacol Biol Psychiatry. 1999, 23 (4): 635-641. 10.1016/S0278-5846(99)00022-6.View ArticlePubMedGoogle Scholar
- Graf WD, Marin-Garcia J, Gao HG, Pizzo S, Naviaux RK, Markusic D, Barshop BA, Courchesne E, Haas RH: Autism associated with the mitochondrial DNA G8363A transfer RNA(Lys) mutation. J Child Neurol. 2000, 15 (6): 357-361. 10.1177/088307380001500601.View ArticlePubMedGoogle Scholar
- Pons R, Andreu AL, Checcarelli N, Vila MR, Engelstad K, Sue CM, Shungu D, Haggerty R, de Vivo DC, DiMauro S: Mitochondrial DNA abnormalities and autistic spectrum disorders. J Pediatr. 2004, 144 (1): 81-85. 10.1016/j.jpeds.2003.10.023.View ArticlePubMedGoogle Scholar
- Weissman JR, Kelley RI, Bauman ML, Cohen BH, Murray KF, Mitchell RL, Kern RL, Natowicz MR: Mitochondrial disease in autism spectrum disorder patients: a cohort analysis. PLoS One. 2008, 3 (11): e3815-10.1371/journal.pone.0003815.View ArticlePubMedPubMed CentralGoogle Scholar
- Mitchell AL, Elson JL, Howell N, Taylor RW, Turnbull DM: Sequence variation in mitochondrial complex I genes: mutation or polymorphism?. J Med Genet. 2006, 43 (2): 175-179. 10.1136/jmg.2005.032474.View ArticlePubMedPubMed CentralGoogle Scholar
- Bandelt HJ, Salas A, Bravi CM: What is a 'novel' mtDNA mutation--and does 'novelty' really matter?. J Hum Genet. 2006, 51 (12): 1073-1082. 10.1007/s10038-006-0066-5.View ArticlePubMedGoogle Scholar
- Bandelt HJ, Salas A, Taylor RW, Yao YG: The exaggerated status of "novel" and "pathogenic" mtDNA sequence variants due to inadequate database searches. Hum Mutat. 2009, 30 (2): 191-196. 10.1002/humu.20846.View ArticlePubMedGoogle Scholar
- Bandelt HJ, Yao YG, Salas A: The search of 'novel' mtDNA mutations in hypertrophic cardiomyopathy: MITOMAPping as a risk factor. Int J Cardiol. 2008, 126 (3): 439-442. 10.1016/j.ijcard.2007.02.049.View ArticlePubMedGoogle Scholar
- Kent L, Gallagher L, Elliott HR, Mowbray C, Chinnery PF: An investigation of mitochondrial haplogroups in autism. Am J Med Genet B Neuropsychiatr Genet. 2008, 147B (6): 987-989. 10.1002/ajmg.b.30687.View ArticlePubMedGoogle Scholar
- Cuscó I, Medrano A, Gener B, Vilardell M, Gallastegui F, Villa O, González E, Rodriguez-Santiago B, Vilella E, Del Campo M, et al: Autism-specific copy number variants further implicate the phosphatidylinositol signaling pathway and the glutamatergic synapse in the etiology of the disorder. Hum Mol Genet. 2009, 18 (10): 1795-1804.View ArticlePubMedPubMed CentralGoogle Scholar
- Salas A, Fachal L, Marcos-Alonso S, Vega A, Martinón-Torres F, ESIGEM G: Investigating the role of mitochondrial haplogroups in genetic predisposition to meningococcal disease. PLoS One. 2009, 4 (12): e8347-10.1371/journal.pone.0008347.View ArticlePubMedPubMed CentralGoogle Scholar
- Álvarez-Iglesias V, Mosquera-Miguel A, Cerezo M, Quintáns B, Zarrabeitia MT, Cuscó I, Lareu MV, García O, Pérez-Jurado L, Carracedo Á, et al: New population and phylogenetic features of the internal variation within mitochondrial DNA macro-haplogroup R0. PLoS ONE. 2009, 4 (4): e5112-View ArticlePubMedPubMed CentralGoogle Scholar
- Álvarez-Iglesias V, Barros F, Carracedo Á, Salas A: Minisequencing mitochondrial DNA pathogenic mutations. BMC Med Genet. 2008, 9: 26-View ArticlePubMedPubMed CentralGoogle Scholar
- Mosquera-Miguel A, Álvarez-Iglesias V, Lareu MV, Carracedo Á, Salas A: Testing the performance of mtSNP minisequencing in forensic samples. Forensic Sci Int Genet. 2009, 3 (4): 261-264. 10.1016/j.fsigen.2009.04.006.View ArticlePubMedGoogle Scholar
- Quintáns B, Álvarez-Iglesias V, Salas A, Phillips C, Lareu MV, Carracedo Á: Typing of mitochondrial DNA coding region SNPs of forensic and anthropological interest using SNaPshot minisequencing. Forensic Sci Int. 2004, 140 (2-3): 251-257.View ArticlePubMedGoogle Scholar
- Gauderman WJ: Sample size requirements for matched case-control studies of gene-environment interaction. Stat Med. 2002, 21 (1): 35-50. 10.1002/sim.973.View ArticlePubMedGoogle Scholar
- Salas A, Comas D, Lareu MV, Bertranpetit J, Carracedo Á: mtDNA analysis of the Galician population: a genetic edge of European variation. Eur J Hum Genet. 1998, 6 (4): 365-375. 10.1038/sj.ejhg.5200202.View ArticlePubMedGoogle Scholar
- Perego UA, Achilli A, Angerhofer N, Accetturo M, Pala M, Olivieri A, Kashani BH, Ritchie KH, Scozzari R, Kong Q-P, et al: Distinctive Paleo-Indian migration routes from Beringia marked by two rare mtDNA haplogroups. Curr Biol. 2009, 19 (1): 1-8. 10.1016/j.cub.2008.11.058.View ArticlePubMedGoogle Scholar
- Achilli A, Perego UA, Bravi CM, Coble MD, Kong QP, Woodward SR, Salas A, Torroni A, Bandelt HJ: The phylogeny of the four pan-American MtDNA haplogroups: implications for evolutionary and disease studies. PLoS ONE. 2008, 3 (3): e1764-10.1371/journal.pone.0001764.View ArticlePubMedPubMed CentralGoogle Scholar
- Tamm E, Kivisild T, Reidla M, Metspalu M, Smith DG, Mulligan CJ, Bravi CM, Rickards O, Martinez-Labarga C, Khusnutdinova EK, et al: Beringian standstill and spread of Native American founders. PLoS ONE. 2007, 2 (9): e829-10.1371/journal.pone.0000829.View ArticlePubMedPubMed CentralGoogle Scholar
- Salas A, Carracedo Á, Richards M, Macaulay V: Charting the Ancestry of African Americans. Am J Hum Genet. 2005, 77 (4): 676-680. 10.1086/491675.View ArticlePubMedPubMed CentralGoogle Scholar
- Salas A, Richards M, De la Fé T, Lareu MV, Sobrino B, Sánchez-Diz P, Macaulay V, Carracedo Á: The making of the African mtDNA landscape. Am J Hum Genet. 2002, 71 (5): 1082-1111. 10.1086/344348.View ArticlePubMedPubMed CentralGoogle Scholar
- Mosquera-Miguel A, Álvarez-Iglesias V, Vega A, Milne R, Cabrera de León A, Benitez J, Carracedo Á, Salas A: Is mitochondrial DNA variation associated with sporadic breast cancer risk?. Cancer Res. 2008, 68 (2): 623-625. 10.1158/0008-5472.CAN-07-2385.View ArticlePubMedGoogle Scholar
- Palmieri L, Persico AM: Mitochondrial dysfunction in autism spectrum disorders: Cause or effect?. Biochim Biophys Acta. 2010, 1797: 1130-1137. 10.1016/j.bbabio.2010.04.018.View ArticlePubMedGoogle Scholar
- Giulivi C, Zhang YF, Omanska-Klusek A, Ross-Inta C, Wong S, Hertz-Picciotto I, Tassone F, Pessah IN: Mitochondrial dysfunction in autism. JAMA. 2010, 304 (21): 2389-2396. 10.1001/jama.2010.1706.View ArticlePubMedPubMed CentralGoogle Scholar
- Ramoz N, Reichert JG, Smith CJ, Silverman JM, Bespalova IN, Davis KL, Buxbaum JD: Linkage and association of the mitochondrial aspartate/glutamate carrier SLC25A12 gene with autism. Am J Psychiatry. 2004, 161 (4): 662-669. 10.1176/appi.ajp.161.4.662.View ArticlePubMedGoogle Scholar
- Filipek PA, Juranek J, Smith M, Mays LZ, Ramos ER, Bocian M, Masser-Frye D, Laulhere TM, Modahl C, Spence MA, et al: Mitochondrial dysfunction in autistic patients with 15q inverted duplication. Ann Neurol. 2003, 53 (6): 801-804. 10.1002/ana.10596.View ArticlePubMedGoogle Scholar
- Roostalu U, Kutuev I, Loogväli EL, Metspalu E, Tambets K, Reidla M, Khusnutdinova EK, Usanga E, Kivisild T, Villems R: Origin and expansion of haplogroup H, the dominant human mitochondrial DNA lineage in West Eurasia: the Near Eastern and Caucasian perspective. Mol Biol Evol. 2007, 24 (2): 436-448. 10.1093/molbev/msl173.View ArticlePubMedGoogle Scholar
- Kong QP, Bandelt HJ, Sun C, Yao YG, Salas A, Achilli A, Wang CY, Zhong L, Zhu CL, Wu SF, et al: Updating the East Asian mtDNA phylogeny: a prerequisite for the identification of pathogenic mutations. Hum Mol Genet. 2006, 15 (13): 2076-2086. 10.1093/hmg/ddl130.View ArticlePubMedGoogle Scholar
- Yao YG, Salas A, Logan I, Bandelt HJ: mtDNA data mining in GenBank needs surveying. Am J Hum Genet. 2009, 85 (6): 929-933. 10.1016/j.ajhg.2009.10.023. author reply 933View ArticlePubMedPubMed CentralGoogle Scholar
- Salas A, Carracedo Á, Macaulay V, Richards M, Bandelt HJ: A practical guide to mitochondrial DNA error prevention in clinical, forensic, and population genetics. Biochem Biophys Res Commun. 2005, 335 (3): 891-899. 10.1016/j.bbrc.2005.07.161.View ArticlePubMedGoogle Scholar
- Shadel GS: Expression and maintenance of mitochondrial DNA: new insights into human disease pathology. Am J Pathol. 2008, 172 (6): 1445-1456. 10.2353/ajpath.2008.071163.View ArticlePubMedPubMed CentralGoogle Scholar
- Andrews RM, Kubacka I, Chinnery PF, Lightowlers RN, Turnbull DM, Howell N: Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA. Nat Genet. 1999, 23: 147-10.1038/13779.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/12/50/prepub
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