Table 2. Studies using Mendelian randomization in nutritional psychiatry.
Table summarizes current MR studies in nutritional psychiatry. Discrepancies exist between disorders, and the applicability of existing instruments to other outcomes, or to a combined ‘cross disorder’ cohort may be fruitful. Results are given as odds ratios per standard deviation change in the exposure unless otherwise specified. Abbreviations: IGAP (International Genomics of Alzheimer’s), Psychiatric Genomics Consortium (PGC). For further details of instrument rsids, genes and beta coefficients please refer to the original publication.
Exposure | Study | Measure | Sample | N | MR Method | SNPs | Results Reported OR / beta/ Hazard ratio/ Risk difference (95% confidence intervals) p-value | |
---|---|---|---|---|---|---|---|---|
VITAMINS | Vitamin D | Maddock 2017 29 | Global Cognitive tests | Cross cohort | 172,349 | Two-sample | 2 | β 0.00 points per 25(OH)D decreasing allele (0.01, 0.01) p>0.99 |
Memory tests | β 0.00 points per 25(OH)D decreasing allele (-0.01, 0.01) p=0.6 | |||||||
Jorde 2015 28 | Cognitive Tests | Tromso Study | 5,980 | One-sample | 4 | No overall association | ||
Mokry 2016 25 | Alzheimer’s Diagnosis | IGAP1 | 54,162 | Two-sample | 4 | OR 0.8 per SD (0.97, 0.66) p=0.021 | ||
Olsson 2017 27 | Dementia Diagnosis | Uppsala Longitudinal Study | 1,087 | One-sample | 2 | HR 1.04 points per effect allele (0.91, 1.19) | ||
Cognitive Impairment (MMSE) | 408 | One-sample | 2 | OR 1.03 per effect allele (0.80, 1.34) | ||||
Larsson 2018 26 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 7 | OR 0.86 per SD (0.78, 0.94) p = 0.002 | ||
Taylor 2016 48 | Schizophrenia Diagnosis | PGC2 | 79,845 | Two-sample | 4 | OR 0.99 per 10% increase (0.97, 1.0) | ||
Michaelsson 2018 52 | Major Depression Diagnosis | PGC | 173,005 | Two-sample | 6 | OR 1.02 per SD (0.97, 1.08) p = 0·44 | ||
Vitamin E | Liu 2018 41 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 3 | OR 0·96 per SD (0·47,1·94) p =0·936 | |
Vitamin B6 | Tomioka 2018 43 | Schizophrenia Diagnosis | Tokushima University Hospital | 10,689 | One-sample | 1 | OR 0·99 per SD log(B6) (0·65, 1·51) p= 0·96 | |
Folate | Larsson 2017 32 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 2 | OR 0·98 per SD (0·72, 1·33) p=0·89 | |
Mollehave 2017 50 | Depression (SLCR90_r3) | Health 2006 & Inter 99 | 4,126 | One-sample | 2 | OR 1·18 per effect allele (0·18, 7·66), P=0·86 | ||
Homocysteine | Hu 2016 33 | Alzheimer’s Diagnosis | 34 studies | 9,397 | Two-Sample | 1 | OR 3·37 per SD (1·90, 5·95) p = 2·9×10-5 | |
Larsson 2017 32 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 18 | OR 0·99 per SD (0·88, 1·11) 0·86 | ||
Roostaei 2018 67 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 13 | OR 1·01 per SD (0·89, 1·15), p=0·84 | ||
Numata 2015 44 | Schizophrenia Diagnosis | 36 Studies | 25,599 | Two-sample | 1 | OR 2·15 per SD (1·39, 3·32) p=5·3x10-4 | ||
Kinoshita 201545 | Schizophrenia Diagnosis | Meta-analysis | 10,378 | One-sample | 1 | OR 1.14 per SD (1.03-1.27), p=1.6x10-2 | ||
Wu 201735 | Vascular Dementia Diagnosis | Meta-analysis | 1,880 | Two-sample | 1 | OR 4·29 per SD log (hcy) (1·11,16·57) P = 0·03 | ||
B12 | Mollehave 2017 50 | Depression (SLCR90_r4) | Health 2006 & Inter 99 | 4,126 | One-sample | 12 | 0·96 (0·52,1·79), P=0·91 | |
Larsson 2018 32 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 7 | OR 1·11 per SD (0·95, 1·30) p=0·18 | ||
MINERALS | Calcium | Cheng 201942 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 6 | OR 0·74 per SD (0·45, 1·22) p=0·23 |
Major Depression Diagnosis | PGC | 10,640 | Two-sample | 6 | OR 0·92 per SD (0·67, 1·28) p=0·63 | |||
Bipolar Disorder Diagnosis | PGC | 41,653 | Two-sample | 7 | OR 1·85 per SD (0·74, 4·65) p=0·19 | |||
Schizophrenia Diagnosis | PGC | 65,967 | Two-sample | 7 | OR 1·85 per SD (0·74, 4·65) p=0·19 | |||
Copper | Cheng 201942 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 2 | OR 0·87 per SD (0·75, 1·00) p=0·05 | |
Bipolar Disorder Diagnosis | PGC | 41,653 | Two-sample | 2 | OR 0·87 per SD (0·79, 0·97) p=0·01 | |||
Schizophrenia Diagnosis | PGC | 65,967 | Two-sample | 2 | OR 0·96 per SD (0·85, 1·08) p=0·47 | |||
Magnesium | Cheng 201942 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 4 | OR 0·43 per SD (0·08-2·44) p=0·34 | |
Major Depression Diagnosis | PGC | 10,640 | Two-sample | 3 | OR 1·19 per SD (0·22, 6·61) p=0·84 | |||
Bipolar Disorder Diagnosis | PGC | 41,653 | Two-sample | 4 | OR 8·78 per SD (1·16, 66·26) p=0·04 | |||
Schizophrenia Diagnosis | PGC | 65,967 | Two-sample | 4 | OR 0·87 per SD (0·24, 3·19) p=0·83 | |||
Iron | Cheng 201942 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 11 | OR 1·02 per SD (0·94, 1·14) p=0·48 | |
Major Depression Diagnosis | PGC | 10,640 | Two-sample | 9 | OR 0·98 per SD (0·91, 1·05) p=0·60 | |||
Bipolar Disorder Diagnosis | PGC | 41,653 | Two-sample | 11 | OR 1·17 per SD (0·89, 1·29) p=0·45 | |||
Schizophrenia Diagnosis | PGC | 65,967 | Two-sample | 10 | OR 1·04 per SD (0·92, 1·18) p=0·55 | |||
Zinc | Cheng 201942 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 2 | OR 0·99 per SD (0·85, 1·14) p=0·85 | |
Major Depression Diagnosis | PGC | 10,640 | Two-sample | 2 | OR 0·99 per SD (0·95, 1·03) p=0·66 | |||
Bipolar Disorder Diagnosis | PGC | 41,653 | Two-sample | 2 | OR 1·02 per SD (0·91, 1·14) p=0·70 | |||
Schizophrenia Diagnosis | PGC | 65,967 | Two-sample | 2 | OR 0·94 per SD (0·86, 1·02) p=0·11 | |||
LIPID FAT AND GLUCOSE HOMEOSTASIS | Isoleucine | Larsson 2017 36 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 4 | OR 1·35 per SD (1·08,1·69) p=0·007 |
Leucine | 1 | OR 1·16 per SD (95% CI, 0·78–1·72) p=0·46 | ||||||
Valine | 1 | OR 1·13 per SD (95% CI, 0·82–1·57 p=0·46 | ||||||
Fasting Glucose | Weslowska 2017 53 | Depression (BDI) | Young Finns Study | 1,217 | One-Sample | 35 | -0·43 (-0·79, -0·07) p=0·02 | |
Li 2018 46 | Schizophrenia Diagnosis | PGC | 77,096 | Two-sample | 30 | OR 0·84 per SD, (0·71,0·99) p=0·038 | ||
BIO-X | 26,026 | 14 | OR 1·04 per SD (0·84,1·27) p=0·737 | |||||
Ostegaard 201540 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 36 | OR 1·12 per SD (0·97, 1·30) p=0·112 | ||
Fasting insulin and insulin sensitivity | Ostegaard 201540 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 10 | OR 1·32 per SD (0·88, 1·98) p=0.18 | |
Walter 2016 68 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 9 | OR 1·17 per unit (1·02,1·34) p=0.02 | ||
Li 2018 46 | Schizophrenia Diagnosis | PGC | 77,096 | Two-sample | 13 | OR 2·33 per SD (1·40, 3·90) p=0.001 | ||
DHA (Omega 3) | Sallis 2014 51 | Perinatal Depression (EPDS) | ALSPAC mothers | 2,378 | One-sample | 4 | RD 0·08 (-0·05, 0·22) p=0·21 | |
Plasma APOE | Rasmussen37 | Alzheimer’s Diagnosis | Copenhagen General Population Study and Copenhagen City Heart Study | 106,562 | One-sample | 5 | OR 1.41 per mg/dL (1.27, 1.57) | |
All Dementia | OR 1.33 per mg/dL (1.25, 1.43) | |||||||
Cholesterol & Triglycerides | Proitsi 2014 39 | Alzheimer’s Diagnosis | Cross Cohort | 10,578 | Two-Sample | 70 | OR 0·95 per unit (0·76,1·21) p=0·69 Total Cholesterol | |
40 | OR 1·10 per unit (0·89,1·37) p=0·36 Triglycerides | |||||||
69 | 1·01 per unit (0·82,1·24) p=0·96 HDL-c | |||||||
55 | 0·90 per unit (0·65,1·25) p=0·53 LDL-c | |||||||
Ostergaard 201540 | Alzheimer’s Diagnosis | IGAP | 54,162 | Two-sample | 73 | OR 1·94 per SD (1·79-2·10) p=3·1x10-56 Total Cholesterol | ||
39 | OR 0·96 per SD (0·87,1·07) p=0·48 Triglycerides | |||||||
71 | OR 0·75 per SD (0·69, 0·82) p=1x10-11 HDL-c | |||||||
57 | OR 2·31 per SD (2·12, 2·50) p=3x10-87 LDL-c | |||||||
Benn 201738 | Alzheimer’s Diagnosis | Copenhagen General Population Study and Copenhagen City Heart Study | 111,194 | One-sample | 380 | OR 0·57 per mmolL-1 (0·27, 1·17) LDL-c | ||
Vascular Dementia | OR 0·81 per mmolL-1 (0·34, 1·89) LDL-c | |||||||
All Dementia | OR 0·66 per mmolL-1 (0·34, 1·26) LDL-c | |||||||
Khandaker 201954 | Major Depression | UK Biobank | 367,703 | Two-sample | 76 | OR 1.02 per SD (0.91–1.14) LDL-c | ||
86 | OR 0.97 per SD (0.91–1.03) HDL-c | |||||||
51 | OR 1.18 per SD (1.09–1.27) Triglycerides |
IGAP International Genomics of Alzheimer’s Project
PGC Psychiatric Genomics Consortium
SLCR90_r diagnosis depression…
SLCR90_r diagnosis depression…