Year of publication 2018 (A-M)

Abbas H, Hicks Y, Marshall D, Zhurov AI, Richmond S. A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features. Computational Visual Media [Internet]. 2018 Jan 22;4(1):17–32. Available from: http://dx.doi.org/10.1007/s41095-017-0097-1

Abdulkadir M, Mathews CA, Scharf JM, Yu D, Tischfield JA, Heiman GA, et al. Polygenic Risk Scores Derived From a Tourette Syndrome Genome-wide Association Study Predict Presence of Tics in the Avon Longitudinal Study of Parents and Children Cohort. Biol Psychiatry 2018. doi:10.1016/j.biopsych.2018.09.011.

Ambatipudi S, Sharp GC, Clarke SLN, Plant D, Tobias JH, Evans DM, et al. Assessing the Role of DNA Methylation-Derived Neutrophil-to-Lymphocyte Ratio in Rheumatoid Arthritis. Journal of Immunology Research [Internet]. 2018 Aug 14;2018:1–10. Available from: http://dx.doi.org/10.1155/2018/2624981
Anderson E, Cochrane A, Golding J, Nowicki S. Locus of control as a modifiable risk factor for cognitive function in midlife. Aging [Internet]. 2018 Jul 12; Available from: http://dx.doi.org/10.18632/aging.101490
Anderson EL, Fraser A, Caleyachetty R, Hardy R, Lawlor DA, Howe LD. Associations of adversity in childhood and risk factors for cardiovascular disease in mid-adulthood. Child Abuse & Neglect [Internet]. 2018 Feb;76:138–48. Available from: http://dx.doi.org/10.1016/j.chiabu.2017.10.015

Arathimos R, Sharp GC, Granell R, Tilling K, Relton CL. Associations of sex hormone-binding globulin and testosterone with genome-wide DNA methylation. BMC Genet 2018;19:113. doi:10.1186/s12863-018-0703-y.

Artigas MS, Wain LV, Shrine N, McKeever TM, Sayers I, Hall IP, et al. Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls. PLoS One 2017;12. doi:10.1371/journal.pone.0170222.

Auyong ZEG, Smith S, Ferguson CJ. Girls in Gangs: Exploring Risk in a British Youth Context. Crime & Delinquency [Internet]. 2018 Mar 21;1112871876313. Available from: http://dx.doi.org/10.1177/0011128718763130

Avraam D, Boyd A, Goldstein H, Burton P. A software package for the application of probabilistic anonymisation to sensitive individual-level data: a proof of principle with an example from the ALSPAC birth cohort study. Longitudinal and Life Course Studies 2018;9:433–46. doi:10.14301/llcs.v9i4.478.

Azad MB, Wade KH, Timpson NJ. FUT2 secretor genotype and susceptibility to infections and chronic conditions in the ALSPAC cohort. Wellcome Open Research [Internet]. 2018 May 30;3:65. Available from: http://dx.doi.org/10.12688/wellcomeopenres.14636.1

Baird DA, Evans DS, Kamanu FK, Gregory JS, Saunders FR, Giuraniuc CV, et al. Identification of Novel Loci Associated With Hip Shape: A Meta-Analysis of Genomewide Association Studies. Journal of Bone and Mineral Research n.d.;0. doi:10.1002/jbmr.3605.

Baird DA, Paternoster L, Gregory JS, Faber BG, Saunders FR, Giuraniuc CV, et al. Investigation of the relationship between susceptibility loci for hip osteoarthritis and DXA-derived hip shape in a population based cohort of peri-menopausal women. Arthritis & Rheumatology [Internet]. 2018 Jun 8; Available from: http://dx.doi.org/10.1002/art.40584
Beckmeyer-Borowko A, Imboden M, Rezwan FI, Wielscher M, Amaral AFS, Jeong A, et al. SERPINA1 methylation and lung function in tobacco-smoke exposed European children and adults: a meta-analysis of ALEC population-based cohorts. Respiratory Research [Internet]. 2018 Aug 22;19(1). Available from: http://dx.doi.org/10.1186/s12931-018-0850-8
Bédard A, Lewis SJ, Burgess S, Henderson AJ, Shaheen SO. Maternal iron status during pregnancy and respiratory and atopic outcomes in the offspring: a Mendelian randomisation study. BMJ Open Respiratory Research [Internet]. 2018 Mar;5(1):e000275. Available from: http://dx.doi.org/10.1136/bmjresp-2018-000275
Belgrave DCM, Granell R, Turner SW, Curtin JA, Buchan IE, Le Souëf PN, et al. Lung function trajectories from pre-school age to adulthood and their associations with early life factors: a retrospective analysis of three population-based birth cohort studies. The Lancet Respiratory Medicine [Internet]. 2018 Jul;6(7):526–34. Available from: http://dx.doi.org/10.1016/S2213-2600(18)30099-7
Bell AF, Rubin LH, Davis JM, Golding J, Adejumo OA, Carter CS. The birth experience and subsequent maternal caregiving attitudes and behavior: a birth cohort study. Arch Womens Ment Health 2018. doi:10.1007/s00737-018-0921-3.
Bell JA, Carslake D, O’Keeffe LM, Frysz M, Howe LD, Hamer M, et al. Associations of Body Mass and Fat Indexes With Cardiometabolic Traits. J Am Coll Cardiol 2018a;72:3142–54. doi:10.1016/j.jacc.2018.09.066.
Bell JA, Carslake D, Wade KH, Richmond RC, Langdon RJ, Vincent EE, et al. Influence of puberty timing on adiposity and cardiometabolic traits: A Mendelian randomisation study. Rader DJ, editor. PLOS Medicine [Internet]. 2018 Aug 28;15(8):e1002641. Available from: http://dx.doi.org/10.1371/journal.pmed.1002641
Bell JA, Hamer M, Richmond RC, Timpson NJ, Carslake D, Davey Smith G. Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study. Basu S, editor. PLOS Medicine [Internet]. 2018 Sep 11;15(9):e1002649. Available from: http://dx.doi.org/10.1371/journal.pmed.1002649

Biffi C, de Marvao A, Attard MI, Dawes TJW, Whiffin N, Bai W, et al. Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinformatics 2018;34:97–103. doi:10.1093/bioinformatics/btx552

Birmingham, K. Pioneering ethics in a longitudinal study: The early development of the ALSPAC Ethics and Law Committee. Policy Press, Shorts Research. ISBN 978-1-4473-4038-6

Bolea-Alamañac B, Davies SJ, Evans J, Joinson C, Pearson R, Skapinakis P, et al. Do mothers who are anxious during pregnancy have inattentive children? Journal of Affective Disorders [Internet]. 2018 Aug;236:120–6. Available from: http://dx.doi.org/10.1016/j.jad.2018.04.118
Bonàs-Guarch S, Guindo-Martínez M, Miguel-Escalada I, Grarup N, Sebastian D, Rodriguez-Fos E, et al. Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes. Nature Communications [Internet]. 2018 Jan 22;9(1). Available from: http://dx.doi.org/10.1038/s41467-017-02380-9
Bornstein MH, Hahn C-S, Putnick DL, Pearson R. Stability of child temperament: Multiple moderation by child and mother characteristics. British Journal of Developmental Psychology [Internet]. 2018 Jul 23; Available from: http://dx.doi.org/10.1111/bjdp.12253

Bornstein MH, Hahn C-S, Putnick DL, Pearson RM. Stability of core language skill from infancy to adolescence in typical and atypical development. Sci Adv 2018;4:eaat7422. doi:10.1126/sciadv.aat7422.

Bould H, De Stavola B, Lewis G, Micali N. Do disordered eating behaviours in girls vary by school characteristics? A UK cohort study. European Child & Adolescent Psychiatry [Internet]. 2018 Mar 15;27(11):1473–81. Available from: http://dx.doi.org/10.1007/s00787-018-1133-0

Bourne M, Bukodi E, Betthäuser B, Goldthorpe JH. ‘Persistence of the social’: The role of cognitive ability in mediating the effects of social origins on educational attainment in Britain. Research in Social Stratification and Mobility 2018;58:11–21. doi:10.1016/j.rssm.2018.09.001.

Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. Genome-wide genetic data on ~500,000 UK Biobank participants. BioRxiv 2017:166298. doi:10.1101/166298.

Calzo JP, Austin SB, Micali N. Sexual orientation disparities in eating disorder symptoms among adolescent boys and girls in the UK. European Child & Adolescent Psychiatry [Internet]. 2018 Mar 17;27(11):1483–90. Available from: http://dx.doi.org/10.1007/s00787-018-1145-9
Caramaschi D, Taylor AE, Richmond RC, Havdahl KA, Golding J, Relton CL, et al. Maternal smoking during pregnancy and autism: using causal inference methods in a birth cohort study. Transl Psychiatry 2018;8:262. doi:10.1038/s41398-018-0313-5.

Chheda H, Palta P, Pirinen M, McCarthy S, Walter K, Koskinen S, et al. Whole-genome view of the consequences of a population bottleneck using 2926 genome sequences from Finland and United Kingdom. European Journal of Human Genetics 2017;25:477–84. doi:10.1038/ejhg.2016.205

Chu AL, Stochl J, Lewis G, Zammit S, Jones PB, Khandaker GM. Longitudinal association between inflammatory markers and specific symptoms of depression in a prospective birth cohort. Brain, Behavior, and Immunity 2018. doi:10.1016/j.bbi.2018.11.007.
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, et al. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology [Internet]. 2018 May 12;20(11):1485–93. Available from: http://dx.doi.org/10.1093/neuonc/noy077
Coathup V, Northstone K, Izadi H, Wheeler S, Smith L. Do Maternal Dietary Antioxidants Modify the Relationship Between Binge Drinking and Small for Gestational Age? Findings from a Longitudinal Cohort Study. Alcoholism: Clinical and Experimental Research [Internet]. 2018 Sep 7; Available from: http://dx.doi.org/10.1111/acer.13864
Collin SM, Norris T, Deere KC, Jago R, Ness AR, Crawley E. Physical activity at age 11 years and chronic disabling fatigue at ages 13 and 16 years in a UK birth cohort. Archives of Disease in Childhood [Internet]. 2018 Jan 30;103(6):586–91. Available from: http://dx.doi.org/10.1136/archdischild-2017-314138
Collin SM, Norris T, Gringras P, Blair PS, Tilling K, Crawley E. Childhood sleep and adolescent chronic fatigue syndrome (CFS/ME): evidence of associations in a UK birth cohort. Sleep Medicine [Internet]. 2018 Jun;46:26–36. Available from: http://dx.doi.org/10.1016/j.sleep.2018.01.005
Cooper M, Hammerton G, Collishaw S, Langley K, Thapar A, Dalsgaard S, et al. Investigating late-onset ADHD: a population cohort investigation. Journal of Child Psychology and Psychiatry [Internet]. 2018 Apr 23;59(10):1105–13. Available from: http://dx.doi.org/10.1111/jcpp.12911

Cornish R, Staff AC, Boyd A, Lawlor DA, Tretli S, Bradwin G, et al. Maternal reproductive hormones and angiogenic factors in pregnancy and subsequent breast cancer risk. Cancer Causes Control 2018. doi:10.1007/s10552-018-1100-6.

Cotter D, English J, Foecking M, Cannon M, Rutten B, Zammit S, et al. 32.4 Altered complement pathway protein expression is associated with psychotic experiences at age 11 which persist at age 18. Schizophrenia Bulletin [Internet]. 2018 Apr 1;44(suppl_1):S53–S53. Available from: http://dx.doi.org/10.1093/schbul/sby014.135

Croft J, Heron J, Teufel C, Cannon M, Wolke D, Thompson A, et al. Association of Trauma Type, Age of Exposure, and Frequency in Childhood and Adolescence With Psychotic Experiences in Early Adulthood. JAMA Psychiatry 2018a. doi:10.1001/jamapsychiatry.2018.3155.

Croft J, Zammit S, Heron J, Teufel C. S133. The relationship between exposure to trauma during childhood and adolescence and psychotic experiences at 18 years old in a non-clinical population. Schizophrenia Bulletin [Internet]. 2018 Apr 1;44(suppl_1):S377–S377. Available from: http://dx.doi.org/10.1093/schbul/sby018.920
Cuellar Partida G, Laurin C, Ring SM, Gaunt TR, McRae AF, Visscher PM, et al. Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans. Human Molecular Genetics [Internet]. 2018 Jun 1;27(16):2927–39. Available from: http://dx.doi.org/10.1093/hmg/ddy206
Culpin I, Mars B, Pearson RM, Golding J, Heron J, Bubak I, et al. Autistic Traits and Suicidal Thoughts, Plans, and Self-Harm in Late Adolescence: Population-Based Cohort Study. Journal of the American Academy of Child & Adolescent Psychiatry [Internet]. 2018 May;57(5):313–320.e6. Available from: http://dx.doi.org/10.1016/j.jaac.2018.01.023
Dantchev S, Zammit S, Wolke D. Sibling bullying in middle childhood and psychotic disorder at 18 years: a prospective cohort study. Psychological Medicine [Internet]. 2018 Feb 12;48(14):2321–8. Available from: http://dx.doi.org/10.1017/S0033291717003841
Davies J, Sullivan S, Zammit S. Adverse life outcomes associated with adolescent psychotic experiences and depressive symptoms. Soc Psychiatry Psychiatr Epidemiol 2018;53:497–507. doi:10.1007/s00127-018-1496-z.
Derakhshan A, Korevaar TIM, Taylor PN, Levie D, Guxens M, Jaddoe VWV, et al. The Association of Maternal Thyroid Autoimmunity During Pregnancy With Child IQ. J Clin Endocrinol Metab 2018;103:3729–36. doi:10.1210/jc.2018-00743.

Donati G, Meaburn EL, Dumontheil I. The specificity of associations between cognition and attainment in English, maths and science during adolescence. Learning and Individual Differences 2019;69:84–93. doi:10.1016/j.lindif.2018.11.012.

Dudding T, Haworth S, Sandy J, Timpson NJ. Age 23 years + oral health questionnaire in Avon Longitudinal Study of Parents and Children. Wellcome Open Research [Internet]. 2018 Apr 30;3:34. Available from: http://dx.doi.org/10.12688/wellcomeopenres.14159.2

Dunn EC, Crawford KM, Soare TW, Button KS, Raffeld MR, Smith ADAC, et al. Exposure to childhood adversity and deficits in emotion recognition: results from a large, population-based sample. Journal of Child Psychology and Psychiatry [Internet]. 2018 Mar 7;59(8):845–54. Available from: http://dx.doi.org/10.1111/jcpp.12881
Dunn EC, Soare TW, Raffeld MR, Busso DS, Crawford KM, Davis KA, et al. What life course theoretical models best explain the relationship between exposure to childhood adversity and psychopathology symptoms: recency, accumulation, or sensitive periods? Psychological Medicine [Internet]. 2018 Feb 26;48(15):2562–72. Available from: http://dx.doi.org/10.1017/S0033291718000181
Dunn EC, Soare TW, Simpkin AJ, Suderman MJ, Zhu Y, Klengel T, et al. Sensitive periods for the effect of childhood adversity on DNA methylation: Results from a prospective, longitudinal study [Internet]. Cold Spring Harbor Laboratory; 2018. Available from: http://dx.doi.org/10.1101/271122

Edwards AC, Deak JD, Gizer IR, Lai D, Chatzinakos C, Wilhelmsen KP, et al. Meta-Analysis of Genetic Influences on Initial Alcohol Sensitivity. Alcoholism: Clinical and Experimental Research 2018;42:2349–59. doi:10.1111/acer.13896.

Emmett P, Hays N, Taylor C. Factors Associated with Maternal Worry about Her Young Child Exhibiting Choosy Feeding Behaviour. International Journal of Environmental Research and Public Health [Internet]. 2018 Jun 12;15(6):1236. Available from: http://dx.doi.org/10.3390/ijerph15061236

Emmett PM, Hays NP, Taylor CM. Antecedents of picky eating behaviour in young children. Appetite [Internet]. 2018 Nov;130:163–73. Available from: http://dx.doi.org/10.1016/j.appet.2018.07.032
Erzurumluoglu A, Baird D, Richardson T, Timpson N, Rodriguez S. Using Y-Chromosomal Haplogroups in Genetic Association Studies and Suggested Implications. Genes [Internet]. 2018 Jan 22;9(1):45. Available from: http://dx.doi.org/10.3390/genes9010045
Feng H, Xun P, Pike K, Wills AK, Chawes BL, Bisgaard H, et al. In utero exposure to 25-hydroxyvitamin D and risk of childhood asthma, wheeze, and respiratory tract infections: A meta-analysis of birth cohort studies. Journal of Allergy and Clinical Immunology 2017;139:1508–17. doi:10.1016/j.jaci.2016.06.065
Ferreira MA, Vonk JM, Baurecht H, Marenholz I, Tian C, Hoffman JD, et al. Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nature Genetics 2017;49:1752–7. doi:10.1038/ng.3985.
Ferreira MAR, Vonk JM, Baurecht H, Marenholz I, Tian C, Hoffman JD, et al. Eleven loci with new reproducible genetic associations with allergic disease risk. Journal of Allergy and Clinical Immunology [Internet]. 2018 Apr; Available from: http://dx.doi.org/10.1016/j.jaci.2018.03.012
Fetene DM, Betts KS, Alati R. Maternal Prenatal Thyroid Function and Offspring ADHD. The Journal of Nervous and Mental Disease [Internet]. 2018 Sep;1. Available from: http://dx.doi.org/10.1097/NMD.0000000000000891
Foley SF, Bracher-Smith M, Tansey KE, Harrison JR, Parker GD, Caseras X. Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, unaffected siblings and healthy controls. The British Journal of Psychiatry [Internet]. 2018 Jun 21;213(3):548–54. Available from: http://dx.doi.org/10.1192/bjp.2018.101

Frot B, Jostins L, McVean G. Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables. Journal of the American Statistical Association [Internet]. 2018 Feb 13;1–12. Available from: http://dx.doi.org/10.1080/01621459.2018.1434531
Ghorbani Mojarrad N, Williams C, Guggenheim JA. A genetic risk score and number of myopic parents independently predict myopia. Ophthalmic and Physiological Optics [Internet]. 2018 Sep 4; Available from: http://dx.doi.org/10.1111/opo.12579
Golding J, Iles-Caven Y, Ellis G, Gregory S, Nowicki S. Are the early childhood antecedents of men’s external locus of control similar to those of their female partners? Wellcome Open Research [Internet]. 2018 Mar 15;3:28. Available from: http://dx.doi.org/10.12688/wellcomeopenres.14098.1
Golding J, Iles-Caven Y, Ellis G, Gregory S, Nowicki S. The relationship between parental locus of control and adolescent obesity: a longitudinal pre-birth cohort. International Journal of Obesity [Internet]. 2018 Jul 9; Available from: http://dx.doi.org/10.1038/s41366-018-0141-y

Golding J, Rai D, Gregory S, Ellis G, Emond A, Iles-Caven Y, et al. Prenatal mercury exposure and features of autism: a prospective population study. Molecular Autism [Internet]. 2018 Apr 23;9(1). Available from: http://dx.doi.org/10.1186/s13229-018-0215-7

Gow RV, Heron J, Hibbeln JR, Davis JM, SanGiovanni JP. Maternal fish consumption during pregnancy and smoking behavioural patterns. British Journal of Nutrition [Internet]. 2018 Mar 28;119(11):1303–11. Available from: http://dx.doi.org/10.1017/S0007114517003592
Gulliver J, Elliott P, Henderson J, Hansell AL, Vienneau D, Cai Y, et al. Local- and regional-scale air pollution modelling (PM 10 ) and exposure assessment for pregnancy trimesters, infancy, and childhood to age 15 years: Avon Longitudinal Study of Parents And Children (ALSPAC). Environment International [Internet]. 2018 Apr;113:10–9. Available from: http://dx.doi.org/10.1016/j.envint.2018.01.017
Guyatt AL, Stergiakouli E, Martin J, Walters J, O’Donovan M, Owen M, et al. Association of copy number variation across the genome with neuropsychiatric traits in the general population. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics [Internet]. 2018 Apr 24;177(5):489–502. Available from: http://dx.doi.org/10.1002/ajmg.b.32637

Hamilton AJ, Caskey FJ, Casula A, Ben-Shlomo Y, Inward CD. Psychosocial Health and Lifestyle Behaviors in Young Adults Receiving Renal Replacement Therapy Compared to the General Population: Findings From the SPEAK Study. American Journal of Kidney Diseases [Internet]. 2018 Oct; Available from: http://dx.doi.org/10.1053/j.ajkd.2018.08.006
Hammerton G, Heron J, Mahedy L, Maughan B, Hickman M, Murray J. Low resting heart rate, sensation seeking and the course of antisocial behaviour across adolescence and young adulthood. Psychological Medicine [Internet]. 2018 Jan 9;48(13):2194–201. Available from: http://dx.doi.org/10.1017/S0033291717003683

Hansen Bjørge Herman, Anderssen Sigmund Alfred, Andersen Lars Bo, Hildebrand M, Kolle E, Steene-Johannessen J, et al. Cross-Sectional Associations of Reallocating Time Between Sedentary and Active Behaviours on Cardiometabolic Risk Factors in Young People: An International Children’s Accelerometry Database (ICAD) Analysis. Sports Med 2018;48:2401–12. doi:10.1007/s40279-018-0909-1.

Harrowell I, Hollén L, Lingam R, Emond A. The impact of developmental coordination disorder on educational achievement in secondary school. Research in Developmental Disabilities [Internet]. 2018 Jan;72:13–22. Available from: http://dx.doi.org/10.1016/j.ridd.2017.10.014

Hartley A, Santos Ferreira DL, Anderson EL, Lawlor DA. Metabolic profiling of adolescent non-alcoholic fatty liver disease. Wellcome Open Research 2018;3:166. doi:10.12688/wellcomeopenres.14974.1

Hartwig FP, Davies NM, Davey Smith G. Bias in Mendelian randomization due to assortative mating. Genetic Epidemiology [Internet]. 2018 Jul 3;42(7):608–20. Available from: http://dx.doi.org/10.1002/gepi.22138
Haworth S, Mitchell R, Corbin L, Wade KH, Dudding T, Budu-Aggrey A, et al. Common genetic variants and health outcomes appear geographically structured in the UK Biobank sample: Old concerns returning and their implications. [Internet]. Cold Spring Harbor Laboratory; 2018. Available from: http://dx.doi.org/10.1101/294876
Haworth S, Shungin D, van der Tas JT, Vucic S, Medina-Gomez C, Yakimov V, et al. Consortium-based genome-wide meta-analysis for childhood dental caries traits. Human Molecular Genetics [Internet]. 2018 Jun 20;27(17):3113–27. Available from: http://dx.doi.org/10.1093/hmg/ddy237
Heron J, Grzeda M, Tappin D, von Gontard A, Joinson C. Early childhood risk factors for constipation and soiling at school age: an observational cohort study. BMJ Paediatrics Open [Internet]. 2018 Feb;2(1):e000230. Available from: http://dx.doi.org/10.1136/bmjpo-2017-000230
Hibbeln J, Gregory S, Iles-Caven Y, Taylor CM, Emond A, Golding J. Total mercury exposure in early pregnancy has no adverse association with scholastic ability of the offspring particularly if the mother eats fish. Environment International [Internet]. 2018 Jul;116:108–15. Available from: http://dx.doi.org/10.1016/j.envint.2018.03.024
Hibbeln JR, Northstone K, Evans J, Golding J. Vegetarian diets and depressive symptoms among men. Journal of Affective Disorders [Internet]. 2018 Jan;225:13–7. Available from: http://dx.doi.org/10.1016/j.jad.2017.07.051
Hoskens H, Li J, Indencleef K, Gors D, Larmuseau MHD, Richmond S, et al. Spatially Dense 3D Facial Heritability and Modules of Co-heritability in a Father-Offspring Design. Front Genet 2018;9. doi:10.3389/fgene.2018.00554.
Houtepen L. C., Hardy R, Maddock J, Kuh D, Anderson EL, Relton CL, et al. Childhood adversity and DNA methylation in two population-based cohorts. Transl Psychiatry 2018;8:266. doi:10.1038/s41398-018-0307-3.
Houtepen Lotte C, Heron J, Suderman MJ, Fraser A, Howe LD. Association of adverse childhood experiences with educational attainment and adolescent health, and the role of socioeconomic factors: analysis of a prospective cohort study. The Lancet 2018;392:S43. doi:10.1016/S0140-6736(18)32067-1.

Howe LJ, Lee MK, Sharp GC, Davey Smith G, St Pourcain B, Shaffer JR, et al. Investigating the shared genetics of non-syndromic cleft lip/palate and facial morphology [Internet]. Cold Spring Harbor Laboratory; 2018. Available from: http://dx.doi.org/10.1101/255901
Howe LJ, Sharp GC, Hemani G, Zuccolo L, Richmond S, Lewis SJ. Prenatal alcohol exposure and facial morphology in a UK cohort [Internet]. Cold Spring Harbor Laboratory; 2018. Available from: http://dx.doi.org/10.1101/302364

Humphries SE, Futema M, Cooper JA, Charakida M, Boustred C, Sattar N, et al. Sensitivity and specificity of biochemical screening for Familial Hypercholesterolaemia in childhood: Avon Longitudinal Study of Parents and Children (ALSPAC). Atherosclerosis Supplements 2017;28:e5–6. doi:10.1016/j.atherosclerosissup.2017.08.009.

Iles-Caven Y, Golding J, Ellis G, Gregory S, Nowicki S. Data relating to change in locus of control orientation of parents overtime (from pre-birth to 20 years later), participating in the Avon Longitudinal Study of Parents and Children (ALSPAC). Data in Brief [Internet]. 2018 Aug;19:2195–204. Available from: http://dx.doi.org/10.1016/j.dib.2018.07.014
Indencleef K, Roosenboom J, Hoskens H, White JD, Shriver MD, Richmond S, et al. Six NSCL/P Loci Show Associations With Normal-Range Craniofacial Variation. Front Genet 2018;9. doi:10.3389/fgene.2018.00502.
Irish M, Solmi F, Mars B, King M, Lewis Glyn, Pearson RM, et al. Depression and self-harm from adolescence to young adulthood in sexual minorities compared with heterosexuals in the UK: a population-based cohort study. Lancet Child Adolesc Health 2018. doi:10.1016/S2352-4642(18)30343-2.

Jeddy Z, Kordas K, Allen K, Taylor EV, Northstone K, Dana Flanders W, et al. Prenatal exposure to organochlorine pesticides and early childhood communication development in British girls. NeuroToxicology 2018a;69:121–9. doi:10.1016/j.neuro.2018.10.003.

Jeddy Z, Tobias JH, Taylor EV, Northstone K, Flanders WD, Hartman TJ. Prenatal concentrations of perfluoroalkyl substances and bone health in British girls at age 17. Archives of Osteoporosis [Internet]. 2018 Aug 3;13(1). Available from: http://dx.doi.org/10.1007/s11657-018-0498-5
Joinson C, Grzeda MT, von Gontard A, Heron J. Psychosocial risks for constipation and soiling in primary school children. European Child & Adolescent Psychiatry [Internet]. 2018 May 10; Available from: http://dx.doi.org/10.1007/s00787-018-1162-8

Joinson Carol, Grzeda MT, Gontard A von, Heron J. A prospective cohort study of biopsychosocial factors associated with childhood urinary incontinence. Eur Child Adolesc Psychiatry 2018:1–8. doi:10.1007/s00787-018-1193-1.

Jones H, Heron J, Hammerton G, Stochl J, Jones PB, Cannon M, et al. S139. Investigating the genetic architecture of general and specific psychopathology in adolescence using schizophrenia polygenic scores. Schizophrenia Bulletin [Internet]. 2018 Apr 1;44(suppl_1):S379–80. Available from: http://dx.doi.org/10.1093/schbul/sby018.926
Jones HJ, Gage SH, Heron J, Hickman M, Lewis G, Munafò MR, et al. Association of Combined Patterns of Tobacco and Cannabis Use in Adolescence With Psychotic Experiences. JAMA Psychiatry [Internet]. 2018 Mar 1;75(3):240. Available from: http://dx.doi.org/10.1001/jamapsychiatry.2017.4271
Kendler KS, Gardner CO, Edwards AC, Dick DM, Hickman M, MacLeod J, et al. Childhood Risk Factors for Heavy Episodic Alcohol Use and Alcohol Problems in Late Adolescence: A Marginal Structural Model Analysis. Journal of Studies on Alcohol and Drugs [Internet]. 2018 May;79(3):370–9. Available from: http://dx.doi.org/10.15288/jsad.2018.79.370
Khambati N, Mahedy L, Heron J, Emond A. Educational and emotional health outcomes in adolescence following maltreatment in early childhood: A population-based study of protective factors. Child Abuse & Neglect [Internet]. 2018 Jul;81:343–53. Available from: http://dx.doi.org/10.1016/j.chiabu.2018.05.008

Khouja J, Lewis SJ, Bonilla C. Influence of maternal and own genotype at tanning dependence-related SNPs on sun exposure in childhood. BMC Med Genet 2018;19:62. doi:10.1186/s12881-018-0575-z.

Khouja JN, Simpkin AJ, O’Keeffe LM, Wade KH, Houtepen LC, Relton CL, et al. Epigenetic gestational age acceleration: a prospective cohort study investigating associations with familial, sociodemographic and birth characteristics. Clinical Epigenetics [Internet]. 2018 Jun 27;10(1). Available from: http://dx.doi.org/10.1186/s13148-018-0520-1
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