| Literature DB >> 33523250 |
Qiaoxia Zhou1, Daoyin Gong2, Yu Zhang3, Feijun Huang4.
Abstract
INTRODUCTION: The etiology of sudden infant death syndrome (SIDS) remains an unsolved problem. The aim of this meta-analysis is to investigate the potential association between monoamine oxidase A (MAOA) promoter variable number tandem repeat (VNTR) polymorphism and SIDS risk.Entities:
Keywords: Gene polymorphism; MAOA; Meta-analysis; Serotonin; Sudden infant death syndrome
Mesh:
Substances:
Year: 2021 PMID: 33523250 PMCID: PMC8205865 DOI: 10.1007/s00414-020-02496-6
Source DB: PubMed Journal: Int J Legal Med ISSN: 0937-9827 Impact factor: 2.686
Fig. 1Flowchart of the literature search process
Characteristics of all studies included in the meta-analysis.
| Author [Ref] | Year | Country | Ethnicity | Study design | Genotyping method | *Characteristics of SIDS subjects | Characteristics of control subjects | No. (Case/Control) | ||
|---|---|---|---|---|---|---|---|---|---|---|
| No. of total individuals | No. of female individuals | No. of X chromosomes analyzed | ||||||||
| Courts et al. [ | 2013 | Germany | Caucasian | †RCC | ‡PCR | Formalin fixed paraffin embedded samples, diagnosed according to “San Diego” definition, (age: 46–154 postnatal days) | Sex matched controls, biopsy material taken from the psoas major muscle* (153 males, 100 females), voluntarily donated saliva and blood samples (21 males, 9 females) | 142/280 | 52/109 | 194/389 |
| Gross et al. [ | 2014 | Germany | Caucasian | §MCC | PCR | Diagnosed according to the San Diego definition (age: 2–51 weeks, mean: 20 week) | uSIDS and healthy individuals aged between 20–50 years old | 261/45 | 107/19 | 368/64 |
| Klintschar et al. [ | 2012 | Germany | Caucasian | RCC | PCR | Aliquots of blood or tissue samples, 2–51 weeks, 19 weeks | Healthy young white subjects who had survived the critical time span of the first year without SIDS (age: 18–30 years; mean: 25) | 156/260 | 57/99 | 213/359 |
| Klintschar et al. [ | 2013 | Germany | Caucasian | RCC | PCR | Aliquots of blood or tissue samples, 2–51 weeks, 19 weeks | Healthy young white subjects who had survived the critical time span of the first year without SIDS (age: 18–30 years; mean: 25) | 128/138 | 50/58 | 178/196 |
| Opdal et al. [ | 2013 | Norway | Caucasian | RCC | PCR | Diagnosed according to the Nordic SIDS study criteria and the San Diego definition (age: 0.3–167 week, mean: 16 weeks, including 6 infants <2 weeks and 13 infants >1 year), long QT syndrome were excluded | Adult deceased controls (age: 11–91 years, median: 50 years, including 4 controls <18 years), randomly selected from autopsy, died from violent death, intoxication or disease (mainly ischaemic heart disease) | 171/335 | 68/92 | 239/427 |
| Paterson et al. [ | 2013 | the USA | Caucasians and Caucasian Coriell | RCC | the San Diego SIDS Dataset | ∫NA | NA | 139/92 | 55/39 | 194/131 |
†RCC, retrospective case-control study
§MCC, multi-center case-control study
‡PCR, polymerase chain reaction
∫NA, not available
*Cases with potentially confounding alterations of autonomic and central nervous system were excluded
Fig. 2Risk of bias graph. A: Review authors’ judgments about each risk of bias item for each included study; B: review authors’ judgments about each risk of bias item presented as percentages across all included studies
Fig. 3Publication bias analysis by funnel plots. A: male populations; B: female populations. SE, standard error; OR, odds ratio
Original data of genotypes distribution extracted from the studies
| Alleles variant in male population | ||||||||||||||
| Courts et al. | 90 | 171 | 3 | 0 | 31 | 58 | 1 | 1 | 55 | 112 | 0 | 0 | 34 | 58 |
| Gross et al. | 154 | 26 | 0 | 0 | 52 | 7 | 3 | 0 | 95 | 18 | 4 | 1 | 52 | 7 |
| Klintschar et al. (2012) | 99 | 161 | 1 | 0 | 43 | 41 | 0 | 2 | 53 | 115 | 2 | 3 | 44 | 41 |
| Klintschar et al. (2013) | 78 | 80 | 0 | 0 | 29 | 33 | 2 | 1 | 46 | 45 | 1 | 1 | 29 | 33 |
| Opdal et al. | 103 | 243 | 0 | 0 | 39 | 85 | 0 | 7 | 64 | 149 | 0 | 2 | 39 | 85 |
| Paterson et al. | 84 | 53 | 2 | 1 | 23 | 12 | - | - | 57 | 40 | 2 | 0 | 25 | 13 |
| Alleles variants in female population | ||||||||||||||
| Courts et al. | 104 | 218 | 4 | 0 | 28 | 94 | 1 | 4 | 71 | 119 | 0 | 1 | 32 | 94 |
| Gross et al. | 214 | 38 | 0 | 0 | 90 | 14 | 3 | 0 | 121 | 23 | 0 | 1 | 90 | 14 |
| Klintschar et al. (2012) | 114 | 198 | 0 | 1 | 36 | 74 | 0 | 1 | 77 | 122 | 1 | 0 | 36 | 75 |
| Klintschar et al. (2013) | 100 | 116 | 0 | 0 | 34 | 40 | 1 | 3 | 64 | 72 | 0 | 1 | 34 | 40 |
| Opdal et al. | 136 | 184 | 0 | 0 | 47 | 69 | 2 | 0 | 87 | 115 | 0 | 0 | 47 | 69 |
| Paterson et al. | 110 | 78 | 0 | 0 | 30 | 18 | - | - | 77 | 58 | 3 | 2 | 30 | 18 |
| Genotype polymorphism in female population | ||||||||||||||
| Courts et al. | 52 | 109 | 2 | 0 | 9 | 26 | 10 | 41 | 1 | 4 | 30 | 37 | 0 | 1 |
| Gross et al. | 107 | 19 | 0 | 0 | 27 | 3 | 36 | 8 | 3 | 0 | 41 | 7 | 0 | 1 |
| Klintschar et al. (2012) | 57 | 99 | 0 | 1 | 7 | 16 | 22 | 41 | 0 | 1 | 27 | 40 | 1 | 0 |
| Opdal et al. | 68 | 92 | 0 | 0 | 7 | 17 | 33 | 35 | 2 | 0 | 26 | 40 | 0 | 0 |
Fig. 4Forest plots of comparisons regarding allele variants in male infants. A: low-MAOA-expression alleles vs. high-MAOA-expression alleles in male infants; B: 4R allele vs. other alleles in male infants
Meta-analysis of the association between MAOA promoter polymorphism and sudden infant death syndrome risk
| Comparing model | Overall analysis | Subgroup analysis, Caucasian population | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. of studies | Association results | Heterogeneity | No. of studies | Association results | Heterogeneity | |||||||
| †OR (95% §CI) | I2 (%) | Model | †OR (95% §CI) | Model | ||||||||
| Alleles variant in male population | ||||||||||||
| 2R vs. others | 6 | 4.16 (0.89, 19.36) | 0.07 | 0.46 | 0 | ‡F | 6 | 0.85 | 0 | F | ||
| 3R vs. others | 6 | 1.26 (0.99, 1.61) | 0.06 | 0.23 | 27 | F | 6 | 0.16 | 37 | F | ||
| 3.5R vs. others | 5 | 0.63 (0.22, 1.85) | 0.41 | 0.58 | 0 | F | 5 | 0.63 (0.22, 1.85) | 0.41 | 0.58 | 0 | F |
| 4R vs. others | 6 | 0.79 (0.62, 1.00) | 0.05 | 0.24 | 25 | F | 6 | 0.1 | 46 | F | ||
| 5R vs. others | 6 | 1.03 (0.36, 2.92) | 0.96 | 0.92 | 0 | F | 6 | 0.96 (0.33, 2.78) | 0.93 | 0.95 | 0 | F |
| Low expression vs. high expression* | 6 | 0.21 | 30 | F | 6 | 0.1 | 46 | F | ||||
| Alleles variants in female population | ||||||||||||
| 2R vs. others | 6 | 4.77 (0.95, 23.95) | 0.06 | 0.11 | 61 | F | 6 | 4.77 (0.95, 23.95) | 0.06 | 0.11 | 61 | F |
| 3R vs. others | 6 | 0.83 (0.67, 1.04) | 0.1 | 0.19 | 32 | F | 6 | 0.83 (0.66, 1.04) | 0.1 | 0.16 | 37 | F |
| 3.5R vs. others | 5 | 0.91 (0.32, 2.54) | 0.85 | 0.62 | 0 | F | 5 | 0.91 (0.32, 2.54) | 0.85 | 0.62 | 0 | F |
| 4R vs. others | 6 | 1.17 (0.94, 1.46) | 0.15 | 0.38 | 6 | F | 6 | 1.18 (0.95, 1.48) | 0.14 | 0.36 | 8 | F |
| 5R vs. others | 6 | 0.75 (0.26, 2.23) | 0.61 | 0.39 | 4 | F | 6 | 0.62 (0.19, 2.08) | 0.44 | 0.42 | 0 | F |
| Low expression vs. high expression* | 6 | 0.86 (0.69, 1.07) | 0.17 | 0.41 | 0 | F | 6 | 0.85 (0.68, 1.07) | 0.16 | 0.36 | 8 | F |
| Genotype polymorphism in female population | ||||||||||||
| 2R/2R vs. others | 4 | 2.84 (0.48, 16.72) | 0.25 | 0.19 | 41 | F | ||||||
| 3R/3R vs. others | 4 | 0.74 (0.46, 1.18) | 0.2 | 0.48 | 0 | F | ||||||
| 3R/4R vs. others | 4 | 0.85 (0.59, 1.22) | 0.38 | 0.07 | 58 | ∫R | ||||||
| 3.5R/4R vs. others | 4 | 1.21 (0.36, 3.99) | 0.76 | 0.56 | 0 | F | ||||||
| 4R/4R vs. others | 4 | 1.34 (0.94, 1.90) | 0.11 | 0.09 | 54 | R | ||||||
| 4R/5R vs. others | 4 | 0.70 (0.15, 3.31) | 0.65 | 0.15 | 48 | F | ||||||
†OR, odds ratio
§CI, confidence intervals
‡F, fixed-effective model
∫R, random-effective model
*The pooled alleles of 2R+3R (low-expression) vs. 3.5R+4R (high-expression), the rare 5R allele was excluded; results of statistic significant association are presented in italic
Fig. 5Forest plots of comparisons regarding allele variants in male Cacasian infants. A: low-MAOA-expression alleles vs. high-MAOA-expression alleles in male Caucasian populations; B: 4R allele vs. other alleles in male Caucasian populations