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. 2020 Aug 11;35(1):130–142. doi: 10.1111/ppe.12691

TABLE 1.

Included studies

First author Year Proposed instrument(s) Exposure Outcome
Allard 62 2015 2 step a : glucose genetic risk score (GRS), methylation GRS 2 step: maternal fasting glucose, methylation 2 step: methylation, cord blood leptin
Alwan 63 2012 C282Y Iron Blood pressure, waist circumference, body mass index (BMI)
Bech 64 2006 NAT2, CYP1A2, GSTA1 Caffeine Stillbirth
Bedard 65 2018 maternal 12 SNP weighted GRS Haemoglobin Wheezing, asthma, atopy, low lung function
Bernard 66 2018 8 FADS variants Omega 3 and omega 6 polyunsaturated fatty acids Gestational duration, birthweight, birth length
Binder 67 2013 MTHFR rs1801133, rs1801131 Folate Genome‐wide methylation
Bonilla 68 2012 GRS Fasting glucose, type 2 diabetes Intelligence quotient (IQ) at age 8
Bonilla 69 2012 rs492602, rs1801198, rs9606756 Vitamin B12 IQ at age 8
Caramaschi 70 2017 2 step: rs492602, rs1047781 for vitamin b12; rs5750236, rs1890131 for methylation 2 step: vitamin B12, methylation 2 step: methylation, IQ
Caramaschi 71 2018 rs1051730 Smoking heaviness Autism spectrum disorder
Evans 72 2018 403 SNP GRS Maternal type 2 diabetes Birthweight
Geng 73 2018 35, 25, and 41 SNP GRS Waist‐to‐hip ratio adjusted for BMI, hip circumference adjusted for BMI, waist circumference adjusted for BMI Birthweight, birth length, head circumference
Granell 74 2008 MTHFR C677T Folate Atopy, asthma
Howe 75 2019 rs1229984 Alcohol Facial morphology
Humphriss 76 2013 ADH1B rs1229984 Alcohol 3 composite balance scores (dynamic balance, static balance eyes open, static balance eyes closed)
Hwang 77 2019 96, 82, and 60 SNP GRS High‐density lipoprotein (HDL) cholesterol, low‐density lipoprotein (LDL) cholesterol, triglycerides Birthweight
Korevaar 78 2014 GRS Thyroid‐stimulating hormone (TSH), free thyroxine (FT4) Soluble fms‐like tyrosine kinase‐1 (sFlt1), placental growth factor (PlGF)
Lawlor 79 2008 FTO BMI Fat mass at age 9‐11
Lawlor 21 2017 GRS BMI BMI, fat mass index
Lee 80 2013 MTHFR C677T Homocysteine Birthweight
Lewis 81 2009 MTHFR C677T Folate intake Total weight, total body fat mass, total lean mass
Lewis 82 2012 10 SNPs in ADH4, ADH1A, AHD1B, ADH7 (rs4699714, rs3763894, rs4148884, rs2866151, rs975833, rs1229966, rs2066701, rs4147536, rs1229984, rs284779) Alcohol IQ at age 8
Lewis 83 2014 GRS based on rs1799945, rs1800562, rs4820268 Iron IQ at age 8
Mamasoula 84 2013 MTHFR rs1801133 Folate Congenital heart disease
Morales 85 2011 rs1205 C‐reactive protein (CRP) Wheezing, lower respiratory tract infection
Morales 86 2016 rs1983204, rs344008, rs6795327, rs7637701, rs11929637 Methylation at top‐ranked cpg site for placental methylation in smokers Birthweight
Murray 87 2016 GRS including ADH1A rs2866151, rs975833, AHD1B rs4147536, ADH7 rs284779 Alcohol Conduct problem trajectories (6 measures of Strengths and Difficulties Questionnaire)
Richmond 88 2016 GRS BMI HIF3A methylation
Richmond 89 2017 GRS BMI BMI, fat mass index
von Hinke Kessler Scholder 90 2014 ADH1B rs1229984 Alcohol Academic achievement (KS1,KS2,KS3, GCSE)
Shaheen 91 2014 ADH1B rs1229984 Alcohol Childhood atopic disease
Steenweg‐de Graaff 92 2012 MTHFR C677T Folate Emotional and behavioural score (Child Behaviour Checklist)
Steer 93 2011 MTHFR C677T Folate Bone mineral content, bone mineral density, bone area
Taylor 94 2014 rs1051730 Smoking Latent class of offspring smoking initiation
Thompson 95 2019 Separate 7 SNP GRS Vitamin D, calcium Birthweight
Tyrrell 96 2016 GRS BMI, fasting glucose, diabetes, triglycerides, HDL, blood pressure, vitamin D, adiponectin Birthweight
Wehby 97 2011 14 SNPs Smoking Birthweight
Wehby 98 2011 4 SNPS (rs1435252, rs1930139, rs1547272, rs2743467) Smoking Orofacial cleft
Wehby 99 2013 smoking: rs12914385, rs1051730, alcohol: ADH1B rs1229984, BMI: rs8050136 Smoking, alcohol use, obesity Birthweight
Yajnik 100 2014 MTHFR rs1801133 Homocysteine Birthweight
Zerbo 101 2016 rs3116656, rs2794520 CRP Autism spectrum disorder
Zhang 102 2015 GRS Maternal height Birth length, birthweight
Zuccolo 103 2013 rs1229984 Alcohol (1st trimester) IQ at age 8, educational attainment
a

2 step Mendelian randomisation designs are a specific subtype of Mendelian randomisation designs proposed to investigate mediation of the relationship between maternal exposures and offspring outcomes by offspring DNA methylation, under additional strong assumptions. 104 In this approach, maternal genetic variants are proposed as instruments for the effect of maternal exposures on offspring methylation across all measured sites. For any methylation sites where a non‐null effect was detected for any individual in the population, offspring genetic variants associated with methylation at that site are then proposed as instruments for the effect of methylation at that site on offspring outcomes.