- Research article
- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Systematic analysis of the clinical and biochemical characteristics of maternally inherited hypertension in Chinese Han families associated with mitochondrial
- Yuqi Liu†1,
- Qinglei Zhu†1,
- Chao Zhu†1,
- Xueping Wang1,
- Jie Yang1,
- Tong Yin1,
- Jinliao Gao1,
- Zongbin Li1,
- Qinghua Ma5,
- Minxin Guan2, 3, 4,
- Yang Li1, 6Email author and
- Yundai Chen1, 6Email author
© Liu et al.; licensee BioMed Central. 2014
Received: 23 May 2014
Accepted: 16 December 2014
Published: 24 December 2014
Mitochondrial DNA mutations may be associated with cardiovascular disease, including the common cardiac vascular disease, hypertension.
In this study we performed segregation analysis and systematically evaluated the entire mitochondrial genome in nine maternally inherited hypertension probands from Chinese Han families. We also performed clinical, genetic and molecular characterization of 74 maternally inherited members from these families and 216 healthy controls.
In the maternally inherited members, 12 had coronary heart disease (CHD), six had cerebrovascular disease, five had diabetes, nine had hyperlipidemia and three had renal disease. Laboratory tests showed that the sodium and potassium levels in blood of the maternally inherited members were higher than those of the control group (P < 0.01), while no differences were observed in fasting blood glucose (FBG), total cholesterol (TC), triglyceride, low density lipoprotein cholesterol (LDL-c) and creatinine levels (P > 0.05). The high density lipoprotein cholesterol (HDL-c) level of the maternally inherited members was lower than that of the control group (P = 0.04). The whole mitochondrial DNA sequence analysis revealed a total of 172 base changes, including 17 in ribosomal RNA (rRNA) genes, four in transfer RNA (tRNA) genes, and 22 amino acid substitutions. The remainder were synonymous changes or were located in non-coding regions. We identified seven amino acid changes in the nine maternally inherited hypertension families, including four mutations in ATPase6 and three in Cytb. More interestingly, tRNASer(UCN) 7492 T > C was absent in controls and was present in <1% of 2704 mtDNAs, indicating potential functional significance.
This study showed that mutations in mtDNA may contribute to the pathogenesis of hypertension in these Chinese Han families. In the near future, identification of additional mtDNA mutations may indicate further candidate genes for hypertension.
Hypertension is a major public health problem, affecting approximately 1 billion people worldwide . Hypertension is also a major risk factor for coronary heart disease, stroke, congestive heart failure and renal disease . Essential hypertension is commonly regarded as a multifactorial disease influenced by both genetic and environmental factors. Familial aggregation of high blood pressure, despite different environmental factors, suggests that genetic factors are involved in the etiology of hypertension ,. Estimates of genetic variance range from 20% to 50% -.
Early and more recent investigations , show significant maternal familial aggregation of high blood pressure, which suggests a contribution of the mitochondrial genome to hypertension . Our previous studies have reported excess maternal transmission of hypertension (HTN) in hypertensive families associated with tRNA point mutations -. Here we report mtDNA mutations, including previously unreported mutations, in 108 hypertension patients and 216 healthy controls.
As part of a genetic screening program for hypertension, 324 subjects, including 108 hypertension patients and 216 controls, were ascertained at the Institute of Geriatric Cardiology of the Chinese People’s Liberation Army (PLA) General Hospital. Control subjects underwent physical examination, provided family medical history, and provided samples for laboratory assessment at least twice in 1 year. Hypertension was defined according to the recommendations of the Joint National Committee on Detection, Evaluation and Treatment of High Blood Pressure (JNC VI)  as a systolic blood pressure of 140 mmHg or higher and/or a diastolic blood pressure of 90 mmHg or greater.
We performed segregation analysis on 108 hypertension patients to identify maternally inherited hypertension. We applied the following exclusion criteria: a. the proband’s father suffered from hypertension; b. if the proband was male, and one or more of his offspring suffered from hypertension; c. neither the proband’s mother nor her offspring presented with hypertension; d. the probands’ spouses presented with high blood pressure; e. inheritance was consistent with autosomal recessive, autosomal dominant, X-linked, and Y-linked patterns (see reference ). These criteria resulted in the exclusion of 99 probands. The other nine probands presented with a maternally inherited pattern. Their families (including a further 65 maternally inherited members) and 216 healthy controls were interviewed and evaluated to identify both personal or medical histories of hypertension and other clinical abnormalities. Medical history, including coronary heart disease (CHD), cerebrovascular disease, diabetes, hyperlipidemia and renal disease, was also evaluated. Patients reporting cigarette use within 1 year prior to examination were considered as smokers. Body mass index (BMI) (Kg/m2) is defined as an individual’s body mass divided by the square of their height. BMI of 18.5 to 25 indicates optimal weight. All patients had a standard 12-lead ECG recording at 25 mm/s and 1 mV/cm. Left ventricular hypertrophy (LVH) was assessed according to traditional Sokolow-Lyon voltage criteria (SV1 + RV5 or RV6 ≥ 3.5 mV) or to gender-specific Cornell voltage (RaVL + SV3 ≥ 2.8 mV in men or ≥2.0 mV in women) criteria. Total DNA samples of the 65 (non-proband) maternal members and 216 healthy controls were acquired for sequence analysis. Informed consent was obtained from all participating members.
All participating members are fully informed of the purpose of the study, the test items (including the physical examination, family medical history, and blood samples for laboratory assessment and sequencing analysis), the results of the laboratory assessment and sequencing analysis. All the patients were fully informed the study and signed the informed consent to join the study and consent to publish their individual data. All the protocols were approved by the ethics committee of the Chinese PLA General Hospital.
mtDNA sequencing and sequence analysis
Genomic DNA was isolated from whole blood cells of participants using Puregene DNA Isolation Kits (Gentra Systems, Minneapolis, MN, USA). The entire mitochondrial genome of HTN subjects and controls was PCR-amplified in 24 overlapping fragments using light-strand and heavy-strand sets of oligonucleotide primers . Each fragment was purified and subsequently analyzed by direct sequencing on an ABI 3700 automated DNA sequencer (Applied Biosystems, Inc., Foster City, CA, USA) using the Big Dye Terminator Cycle sequencing reaction kit. The resultant sequence data were compared with the revised consensus Cambridge sequence (GenBank accession No. NC-012920, http://www.mitomap.org/MITOMAP) . All mtDNA mutations were individually analyzed using the MitoAnalyzer (National Institutes of Standards and Technology, Gaithersburg, MD, USA, http://www.cstl.nist.gov/biotech/strbase/mitoanalyzer.html) and the MITOMAP database . The haplogroups were deduced by comparing the complete mtDNA sequence data with the previously reported haplogroup-specific variants . To analyze the phylogeny of tRNAs, we used vertebrate mitochondrial DNA sequences for interspecific analysis, including from Bos Taurus, Cebus albifrons, Gorilla gorilla, Homo sapiens, Hylobates lar, Lemur catta, Macaca mulatta, Macaca sylvanus, Mus musculus, Nycticebus coucang, Pan paniscus, Pan troglodytes, Papio hamadryas, Pongo abelii, Pongo pygmaeus, Tarsius bancanus, and Xenopus laevis (GenBank). The conservation index (CI) was calculated by comparing the human nucleotide variants with the other 16 vertebrates. The CI was then defined as the percentage of species from the list of 17 vertebrates that have the wild-type nucleotide at that position.
Statistical analyses were performed using the Statistical Package for Social Sciences software (SPSS version 13.0). Continuous variables with normal distributions were expressed as means ± SD and compared using a t test. Categorical variables were compared using the chi-squared test where appropriate.
Clinical evaluation and inheritance analysis in nine families
Summary of Clinical Data for 9 probands with HTN
Age of Test (yrs)
Age of Onset (yrs)
Penetrance % (Maternal numbers)
Systolic Pressure (mm Hg)
Diastolic Pressure (mm Hg)
IVST, mm (6–12 mm)
LVMI (g/m 2)
eGFR (ml/min/1.73 m 2)
Of the nine probands, three were male patients in the age range of 40 to 75 years old. They came to the Chinese PLA General Hospital Cardiology Clinic for clinical evaluations. Onset-age ranged from 30 to 72 years old. Their blood pressure ranged from 140/90 to 180/100 mm Hg. HTN-3 and HTN-8 presented with LVH upon ECG examination. Echocardiography showed mild thickening of the interventricular septum in HTN-3, HTN-5, HTN-6, HTN-7 and HTN-8; however, this thickening did not reach the echocardiography standard for LVH diagnosis (male patient larger than 125 g/m2, female patient larger than 115 g/m2). We also calculated the estimated glomerular filtration rate (eGFRs) according to the abbreviated Modification of Diet in Renal Disease formula , and found that HTN-2, HTN-7 and HTN-9 had mild renal dysfunction with eGFRs lower than 90 mL/min/1.73 m2 (see Table 1).
Cinical data for maternal members of the probands and the controls
Maternal members (n = 74)
Controls (n = 216)
Mean ± SD
Mean ± SD
Men, n (%)
60.9 ± 12.3
55.9 ± 10.8
45.6 ± 9.8
25.1 ± 4.8
24.1 ± 3.1
Systolic BP (mmHg)
132.8 ± 29.6
117.9 ± 9.8
Diastolic BP (mmHg)
79.3 ± 17.4
66.8 ± 9.1
5.7 ± 1.5
5.5 ± 1.8
4.3 ± 0.8
4.1 ± 1.0
141.2 ± 3.6
139.4 ± 3.2
4.3 ± 0.4
4.1 ± 0.5
1.7 ± 0.9
1.5 ± 0.8
1.1 ± 0.3
1.2 ± 0.4
2.6 ± 0.6
2.5 ± 0.8
61.4 ± 11.1
59.1 ± 15.8
Analysis of coding and control region mutations
All mtDNA variants in the nine probands with HTN
Num of Amino acid changes
rRNA/tRNA mutation analysis
DNA fragments spanning the 12S rRNA, 16S rRNA and 22 tRNA genes were PCR-amplified from mitochondrial DNA of the nine probands. We identified 21 nucleotide changes, including six variants in the 12S rRNA gene, 11 in the 16S rRNA gene and four variants in four tRNA genes (see Additional file 1 and Table 3). There were six novel mutations, including 2448G > A, 2534G > A, 2673G > A, 2695G > A, 2706A > G in 16S rRNA and 14686G > A in tRNAGlu. All the nucleotide changes were verified by sequence analysis of both strands and appeared to be homoplasmic. We also identified the 21 mutations in the other 65 maternally inherited members. We identified 12S rRNA 1005 T > C, 16S rRNA 1824 T > C and tRNASer(UCN) 7492C > T in all maternally inherited members of HTN1, 12S rRNA 1438A > G and 16S rRNA 2706A > G in HTN2, 12S rRNA 1438A > G and 16S rRNA 2706A > G in HTN5, tRNAThr 15927G > A in HTN7, and 16S rRNA 1736G > A in HTN8.
Maternal inheritance has several characteristics. Males and females inherit mitochondrial diseases equally, but always from their mother. A father cannot pass on mitochondrial disease to his children. In this study, we identified nine maternally inherited hypertension families from 108 hypertension individuals. Maternal influences on blood pressure can be explained by X-chromosomal inheritance, chromosomal imprinting , gestational mechanisms , and mitochondrial disorders . For autosomal inheritance, morbidity in offspring of affected mothers should be equal to that in offspring of affected fathers. However, none of the offspring of affected fathers in these families had hypertension, so autosomal inheritance could be rejected. For X-linked inheritance, only females are affected, but all these families had both male and female patients, so X-linked inheritance could also be rejected. Gestational mechanisms could be excluded because the ratio of affected offspring from a hypertensive mother should be less than 50%; however, this ratio in all families was equal to or larger than 50%. Mitochondrial DNA abnormality is by far the most likely explanation for the etiology of hypertension in these pedigrees.
Essential HTN is a polygenic disease; however, efforts to identify genetic determinants of HTN have been directed primarily towards the nuclear genome, whereas the role of the mitochondrial genome remains relatively unexplored. Recently, we reported that mitochondrial DNA mutations contribute to HTN, including ND1 3308, tRNAMet 4435, tRNAIle 4263, tRNAIle 4295 -. These studies focused on tRNA mutations. To identify further variants in the mitochondrial genome that contribute to HTN, we analyzed the entire mitochondrial genome (mtDNA) in hypertensive probands from families with typical maternally inherited hypertension. The entire human mitochondrial DNA sequence, of only 16 kb, has been mapped and encodes 13 proteins two rRNAs, and 22 tRNAs. In this study, we describe a total of 172 variants in the nine probands compared with the “Cambridge” reference sequence (CRS), including 77 variants in the D-loop, four in ND1, five in ND2, seven in COI, six in COII, two in ATPase8, 13 in ATPase6, three in COIII, four in ND3, one in ND4L, five in ND4, seven in ND5, four in ND6, and 13 in Cytb. In addition we found six variants in 12S rRNA, 11 in 16S rRNA and four in four tRNA genes (see Additional file 1 and Table 3). Of these 172 variants, 30 were not identified in the control subjects or in 2704 mtDNAs.
To investigate the contribution of these mutations to maternally inherited hypertension, we identified the 172 mutations in all maternally inherited members from the nine families. Remarkably, there were seven non-synonymous changes associated with amino acid substitutions, including four mutations in the ATP synthase F0 subunit 6, and three in cytochrome b. Among these mutations, ATPase6 8794C > T is associated with exercise endurance/coronary atherosclerosis risk, , and Cytb 15662G > A is associated with complex mitochondriopathy . The other five amino acid changes have not been previously reported. We also identified two mutations in 12S rRNA (1005 T > C and 1438A > G) and three in 16S rRNA (1736A > G, 1824 T > C and 2706A > G). tRNASer(UCN) 7492C > T and tRNAThr 15927G > A presented in all maternal members of the probands. 12S rRNA 1005 T > C has been associated with deaf,  while 12S rRNA 1438A > G may be involved with schizophrenia, bipolar disorder, and major depressive disorder  The CI was 56.2% for tRNAThr 15927G > A and 81.2% for tRNASer(UCN) 7492 T > C. tRNASer(UCN) 7492 T > C was absent in the controls and present at <1% in 2704 mtDNAs, while tRNAThr 15927G > A was present in this control population and at >1% in 2704 mtDNAs. Based on these criteria, tRNASer(UCN) 7492 T > C mutations may have functional significance.
In this study, complete sequencing of the mitochondrial genome from nine maternally hypertensive probands allowed us to detect novel and previously unreported mtDNA variants. Several of the more common mutations have been previously reported to be associated with cardiovascular disease, such as 10398A > G, which is associated with end-stage renal disease in African Americans with HTN . In summary, several mtDNA mutations may contribute to hypertension. In the future, additional mtDNA mutations may be discovered that could indicate candidate genes for hypertension. Thus, our findings provide new understanding of the pathophysiology of HTN and valuable information for the management and treatment of maternally inherited hypertension. For the members of these families with maternally inherited hypertension, we provided systematic follow-up and promoted secondary prevention, including risk factor control, use of medications, and self-management. Future research should further explore the emerging link between hypertension and mitochondrial dysfunction, and their cause/effect relationship.
This work was supported by the National Natural Science Foundation of China to Y.L. (No. 81030002), Y.Q. Liu (No. 81100186/H0214).
- Guidelines Subcommittee: 1999 World Health Organization-International Society of Hypertension Guidelines for the Management of Hypertension. Guidelines Subcommittee. J Hypertens. 1999, 17: 151-183.Google Scholar
- Chinnery PF, Elliott HR, Syed A, Rothwell PM, Oxford Vascular Study: Mitochondrial DNA haplogroups and risk of transient ischaemic attack and ischaemic stroke: a genetic association study. Lancet Neurol. 2010, 9 (5): 498-503. 10.1016/S1474-4422(10)70083-1.View ArticlePubMedPubMed CentralGoogle Scholar
- Zinner SH, Levy PS, Kass EH: Familial aggregation of blood pressure in childhood. N Engl J Med. 1971, 284: 401-404. 10.1056/NEJM197102252840801.View ArticlePubMedGoogle Scholar
- Havlik RJ, Feinleib M: Epidemiology and genetics of hypertension. Hypertension. 1982, 4 (5 Pt 2): III121-III127.PubMedGoogle Scholar
- Rice T, Vogler GP, Perusse L, Bouchard C, Rao DC: Cardiovascular risk factors in a French Canadian population: resolution of genetic and familial environmental effects on blood pressure using twins, adoptees, and extensive information on environmental correlates. Genet Epidemiol. 1989, 6 (5): 571-588. 10.1002/gepi.1370060503.View ArticlePubMedGoogle Scholar
- Longini IM, Higgins MW, Hinton PC, Moll PP, Keller JB: Environmental and genetic sources of familial aggregation of blood pressure in Tecumseh, Michigan. Am J Epidemiol. 1984, 120 (1): 131-144.PubMedGoogle Scholar
- Hunt SC, Hasstedt SJ, Kuida H, Stults BM, Hopkins PN, Williams RR: Genetic heritability and common environmental components of resting and stressed blood pressures, lipids, and body mass index in Utah pedigrees and twins. Am J Epidemiol. 1989, 129 (3): 625-638.PubMedGoogle Scholar
- Bengtsson B, Thulin T, Scherstén B: Familial resemblance in casual blood pressure--a maternal effect?. Clin Sci (Lond). 1979, 57 (Suppl 5): 279s-281s.View ArticleGoogle Scholar
- DeStefano AL, Gavras H, Heard-Costa N, Bursztyn M, Manolis A, Farrer LA, Baldwin CT, Gavras I, Schwartz F: Maternal component in the familial aggregation of hypertension. Clin Genet. 2001, 60: 13-21. 10.1034/j.1399-0004.2001.600103.x.View ArticlePubMedGoogle Scholar
- Yang Q, Kim SK, Sun F, Cui J, Larson MG, Vasan RS, Levy D, Schwartz F: Maternal influence on blood pressure suggests involvement of mitochondrial DNA in the pathogenesis of hypertension: the Framingham Heart Study. J Hypertens. 2007, 25 (10): 2067-2073. 10.1097/HJH.0b013e328285a36e.View ArticlePubMedGoogle Scholar
- Liu Y, Li Z, Yang L, Wang S, Guan MX: The mitochondrial ND13308C mutation in a Chinese family with the secondary hypertension. Biochem Biophys Res Commun. 2008, 368: 18-22. 10.1016/j.bbrc.2007.12.193.View ArticlePubMedGoogle Scholar
- Li Z, Liu Y, Yang L, Wang S, Guan MX: Maternally inherited hypertension is associated with the mitochondrial tRNAIle A4295G mutation in a Chinese family. Biochem Biophys Res Commun. 2007, 367: 906-911. 10.1016/j.bbrc.2007.12.150.View ArticleGoogle Scholar
- Liu Y, Li R, Li Z, Wang X, Yang L, Wang S, Guan MX: The mitochondrial tRNAMet 4435A>G mutation is associated with maternally hypertension in a Chinese pedigree. Hypertension. 2009, 53 (6): 1083-1090. 10.1161/HYPERTENSIONAHA.109.128702.View ArticlePubMedPubMed CentralGoogle Scholar
- Li R, Liu Y, Li Z, Yang L, Wang S, Guan MX: Failures in mitochondrial tRNAMet and tRNAGln metabolism caused by the A4401G mutation are involved in essential hypertension in a Han Chinese family. Hypertension. 2009, 54: 329-337. 10.1161/HYPERTENSIONAHA.109.129270.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang S, Li R, Fettermann A, Li Z, Qian Y, Liu Y, Wang X, Zhou A, Mo JQ, Yang L, Jiang P, Taschner A, Rossmanith W, Guan MX: Maternally inherited essential hypertension is associated with the novel 4263A>G Mutation in the Mitochondrial tRNAIle Gene in a Large Han Chinese Family. Circ Res. 2011, 108: 862-870. 10.1161/CIRCRESAHA.110.231811.View ArticlePubMedGoogle Scholar
- The sixth report of the Joint National Committee on Prevention, Detection, Evaluation and Treatment of High Blood Pressure. Arch Intern Med 1997;157: 2413–2446. http://archinte.jamanetwork.com/article.aspx?articleid=624075..
- Mi MP: Segregation analysis. Am J Hum Genet. 1967, 19 (3 Pt 1): 313-321.PubMedPubMed CentralGoogle Scholar
- Rieder MJ, Taylor SL, Tobe VO, Nickerson DA: Automating the identification of DNA variations using quality-based fluorescence re-sequencing: analysis of the human mitochondrial genome. Nucleic Acids Res. 1981, 26: 967-973. 10.1093/nar/26.4.967.View ArticleGoogle Scholar
- Anderson S, Bankier AT, Barrell BG, deBruijn MHL, Coulson AR, Drouin J, Eperon IC, Nierlich DP, Rose BA, Sanger F, Schreier PH, Smith AJH, Staden R, Young I: Sequence and organization of the human mitochondrial genome. Nature. 1981, 290: 457-465. 10.1038/290457a0.View ArticlePubMedGoogle Scholar
- Wallace DC, Lott MT: MITOMAP: A Human Mitochondrial Genome Database. Available at: http://www.mitomap.org. Accessed 2003.
- Herrnstadt C, Elson JL, Fahy E, Preston G, Turnbull DM, Anderson C, Ghosh SS, Olefsky JM, Beal MF, Davis RE, Howell N: Reducedmedian-network analysis of complete mitochondrial DNA codingregion sequences for the major African, Asian, and European haplogroups. Am J Hum Genet. 2002, 70: 1152-1171. 10.1086/339933.View ArticlePubMedPubMed CentralGoogle Scholar
- Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F, Chronic Kidney Disease Epidemiology Collaboration: Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006, 145 (4): 247-254. 10.7326/0003-4819-145-4-200608150-00004.View ArticlePubMedGoogle 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
- Ingman M, Gyllensten U: mtDB: Human mitochondrial genome database, a resource for population genetics and medical sciences. Nucleic Acids Res. 2006, 34: D749-D751. 10.1093/nar/gkj010.View ArticlePubMedGoogle Scholar
- Reik W, Walter J: Genomic imprinting: parental influence on the genome. Nat Rev Genet. 2001, 2: 21-32. 10.1038/35047554.View ArticlePubMedGoogle Scholar
- Miller JZ, Weinberger MH, Christian JC, Daugherty SA: Familial resemblance in the blood pressure response to sodium restriction. Am J Epidemiol. 1987, 126: 822-830.PubMedGoogle Scholar
- Alexander BT: Fetal programming of hypertension. Am J Physiol Regul Integr Comp Physiol. 2006, 290: R1-R10. 10.1152/ajpregu.00417.2005.View ArticlePubMedGoogle Scholar
- Giles RE, Blanc H, Cann HM, Wallace DC: Maternal inheritance of human mitochondrial DNA. Proc Natl Acad Sci U S A. 1980, 77: 6715-6719. 10.1073/pnas.77.11.6715.View ArticlePubMedPubMed CentralGoogle Scholar
- Tanaka M, Takeyasu T, Fuku N, Li-Jun G, Kurata M: Mitochondrial genome single nucleotide polymorphisms and their phenotypes in the Japanese. Ann N Y Acad Sci. 2004, 1011 (−): 7-20. 10.1196/annals.1293.002.View ArticlePubMedGoogle Scholar
- Sawabe M, Tanaka M, Chida K, Arai T, Nishigaki Y, Fuku N, Mieno MN, Kuchiba A, Tanaka N: Mitochondrial haplogroups A and M7a confer a genetic risk for coronary atherosclerosis in the Japanese elderly: an autopsy study of 1,536 patients. J Atheroscler Thromb. 2011, 18 (2): 166-175. 10.5551/jat.6742.View ArticlePubMedGoogle Scholar
- Finsterer J, Bittner R, Bodingbauer M, Eichberger H, Stollberger C, Blazek G: Complex mitochondriopathy associated with 4 mtDNA transitions. Eur Neurol. 2000, 44 (1): 37-41. 10.1159/000008190.View ArticlePubMedGoogle Scholar
- Li Z, Li R, Chen J, Liao Z, Zhu Y, Qian Y, Xiong S, Heman-Ackah S, Wu J, Choo DI, Guan MX: Mutational analysis of the mitochondrial 12S rRNA gene in Chinese pediatric subjects with aminoglycoside-induced and non-syndromic hearing loss. Hum Genet. 2005, 117 (1): 9-15. 10.1007/s00439-005-1276-1.View ArticlePubMedPubMed CentralGoogle Scholar
- Rollins B, Martin MV, Sequeira PA, Moon EA, Morgan LZ, Watson SJ, Schatzberg A, Akil H, Myers RM, Jones EG, Wallace DC, Bunney WE, Vawter MP: Mitochondrial variants in schizophrenia, bipolar disorder, and major depressive disorder. PLoS One. 2009, 4 (3): e4913-10.1371/journal.pone.0004913.View ArticlePubMedPubMed CentralGoogle Scholar
- Watson B, Khan MA, Desmond RA, Bergman S: Mitochondrial DNA mutations in black Americans with hypertension-associated end-stage renal disease. Am J Kidney Dis. 2001, 38 (3): 529-536. 10.1053/ajkd.2001.26848.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.