Happy families: a twin study of humour

Similar documents
Nurture, Not Nature: Study Says Environment, Not Genetics, Defines Sense of Humor

Citation for the original published paper (version of record):

Effect of sense of Humour on Positive Capacities: An Empirical Inquiry into Psychological Aspects

Brief Report. Development of a Measure of Humour Appreciation. Maria P. Y. Chik 1 Department of Education Studies Hong Kong Baptist University

Monday 15 May 2017 Afternoon Time allowed: 1 hour 30 minutes

A Behavioral Genetic Study of Relationships Between Humor Styles And The Six HEXACO Personality Factors

Master of Arts in Psychology Program The Faculty of Social and Behavioral Sciences offers the Master of Arts degree in Psychology.

NAA ENHANCING THE QUALITY OF MARKING PROJECT: THE EFFECT OF SAMPLE SIZE ON INCREASED PRECISION IN DETECTING ERRANT MARKING

The interaction of cartoonist s gender and formal features of cartoons*

Construction of a harmonic phrase

This manuscript was published as: Köhler, G. & Ruch, W. (1996). Sources of variance in current sense of humor inventories: How much substance, how

EDUCATIONAL PSYCHOLOGY (ED PSY)

STAT 113: Statistics and Society Ellen Gundlach, Purdue University. (Chapters refer to Moore and Notz, Statistics: Concepts and Controversies, 8e)

Why t? TEACHER NOTES MATH NSPIRED. Math Objectives. Vocabulary. About the Lesson

Analysis of data from the pilot exercise to develop bibliometric indicators for the REF

DV: Liking Cartoon Comedy

BBC Trust Review of the BBC s Speech Radio Services

Linear mixed models and when implied assumptions not appropriate

Mixed Effects Models Yan Wang, Bristol-Myers Squibb, Wallingford, CT

An Examination of Personal Humor Style and Humor Appreciation in Others

N12/5/MATSD/SP2/ENG/TZ0/XX. mathematical STUDIES. Wednesday 7 November 2012 (morning) 1 hour 30 minutes. instructions to candidates

Chapter 27. Inferences for Regression. Remembering Regression. An Example: Body Fat and Waist Size. Remembering Regression (cont.)

Bootstrap Methods in Regression Questions Have you had a chance to try any of this? Any of the review questions?

Exercises. ASReml Tutorial: B4 Bivariate Analysis p. 55

DEMOGRAPHIC DIFFERENCES IN WORKPLACE GOSSIPING BEHAVIOUR IN ORGANIZATIONS - AN EMPIRICAL STUDY ON EMPLOYEES IN SMES

Running head: FACIAL SYMMETRY AND PHYSICAL ATTRACTIVENESS 1

Sex differences in preferences for humor produced by men or women: Is humor in the sex of the perceiver? [word count = <2500]

Mixed models in R using the lme4 package Part 2: Longitudinal data, modeling interactions

Thinking fast and slow in the experience of humor

Resampling Statistics. Conventional Statistics. Resampling Statistics

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level

A new tool for measuring musical sophistication: The Goldsmiths Musical Sophistication Index

Predicting the Importance of Current Papers

Humor Styles as Mediators Between Self-Evaluative Standards and Psychological Well-Being

System Identification

Relationship between styles of humor and divergent thinking

The relationship between shape symmetry and perceived skin condition in male facial attractiveness

Analysis of Seabright study on demand for Sky s pay TV services. Annex 7 to pay TV phase three document

YOUR NAME ALL CAPITAL LETTERS

I. Model. Q29a. I love the options at my fingertips today, watching videos on my phone, texting, and streaming films. Main Effect X1: Gender

ONLINE SUPPLEMENT: CREATIVE INTERESTS AND PERSONALITY 1. Online Supplement

Humour Styles and Negative Intimate Relationship Events

How to present your paper in correct APA style

A Mann s Guide to getting healthier on the inside. Rick Plant Healthy Prison Coordinator

Set-Top-Box Pilot and Market Assessment

The Encryption Theory of the Evolution of Humor: Honest Signaling for Homophilic Assortment

MANOVA/MANCOVA Paul and Kaila

LAUGHTER YOGA IS THE BEST MEDICINE

Becoming an expert in the musical domain: It takes more than just practice

Research Ideas for the Journal of Informatics and Data Mining: Opinion*

K ABC Mplus CFA Model. Syntax file (kabc-mplus.inp) Data file (kabc-mplus.dat)

ECONOMICS 351* -- INTRODUCTORY ECONOMETRICS. Queen's University Department of Economics. ECONOMICS 351* -- Winter Term 2005 INTRODUCTORY ECONOMETRICS

Musical learning and cognitive performance

For these items, -1=opposed to my values, 0= neutral and 7=of supreme importance.

Sociology 7704: Regression Models for Categorical Data Instructor: Natasha Sarkisian

Can scientific impact be judged prospectively? A bibliometric test of Simonton s model of creative productivity

The Musicality of Non-Musicians: Measuring Musical Expertise in Britain

Product G e n e r a l S p e c i f i c a t i o n

Measuring the Facets of Musicality: The Goldsmiths Musical Sophistication Index. Daniel Müllensiefen Goldsmiths, University of London

Chapter 21. Margin of Error. Intervals. Asymmetric Boxes Interpretation Examples. Chapter 21. Margin of Error

A Pilot Study: Humor and Creativity

Dial A440 for absolute pitch: Absolute pitch memory by non-absolute pitch possessors

1 Introduction. Measuring Richness

Precision testing methods of Event Timer A032-ET

Moving on from MSTAT. March The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID

Humour styles, personality and psychological well-being: What s humour got to do with it?

CURRENT RESEARCH IN SOCIAL PSYCHOLOGY

Personality Types and Sense of Humor and their Association with Teachers Performance Improvement

GRAPHING JANE AUSTEN

Discriminant Analysis. DFs

SECTION I. THE MODEL. Discriminant Analysis Presentation~ REVISION Marcy Saxton and Jenn Stoneking DF1 DF2 DF3

Modeling memory for melodies

INFLUENCE OF MUSICAL CONTEXT ON THE PERCEPTION OF EMOTIONAL EXPRESSION OF MUSIC

More About Regression

Biology, Self and Culture. From Different Perspectives

Subject-specific observed profiles of change from baseline vs week trt=10000u

Problem Points Score USE YOUR TIME WISELY USE CLOSEST DF AVAILABLE IN TABLE SHOW YOUR WORK TO RECEIVE PARTIAL CREDIT

To Link this Article: Vol. 7, No.1, January 2018, Pg. 1-11

BBC Television Services Review

Validity of TV, Video, Video Game Viewing/Usage Diary: Comparison with the Data Measured by a Viewing State Measurement Device

Mixed Models Lecture Notes By Dr. Hanford page 151 More Statistics& SAS Tutorial at Type 3 Tests of Fixed Effects

Psychological wellbeing in professional orchestral musicians in Australia

A Top-down Hierarchical Approach to the Display and Analysis of Seismic Data

Patrick Neff. October 2017

Margin of Error. p(1 p) n 0.2(0.8) 900. Since about 95% of the data will fall within almost two standard deviations, we will use the formula

The Great Beauty: Public Subsidies in the Italian Movie Industry

The Effect of Social Support on Quality of Life for Tinnitus Sufferers

Reliability. What We Will Cover. What Is It? An estimate of the consistency of a test score.

UNIVERSITY OF SOUTH ALABAMA PSYCHOLOGY

BIBLIOGRAPHIC DATA: A DIFFERENT ANALYSIS PERSPECTIVE. Francesca De Battisti *, Silvia Salini

Lecture 24. Social Hierarchy. Social Power Inhibition vs. disinhibition

Music training and the brain

This manuscript was published as: Ruch, W. (1995). Will the real relationship between facial expression and affective experience please stand up: The

Technical report on validation of error models for n.

Human Hair Studies: II Scale Counts

Open Access Determinants and the Effect on Article Performance

1. Model. Discriminant Analysis COM 631. Spring Devin Kelly. Dataset: Film and TV Usage National Survey 2015 (Jeffres & Neuendorf) Q23a. Q23b.

Overview of All Pixel Circuits for Active Matrix Organic Light Emitting Diode (AMOLED)

The influence of performers stage entrance behavior on the audience s performance elaboration

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level. Paper 1 October/November hours 30 minutes

Transcription:

(2000) 3, 17 22 2000 Macmillan Publishers Ltd All rights reserved 1369 0523/00 $15.00 y www.nature.com/tr Happy families: a twin study of humour Lynn Cherkas, Fran Hochberg, Alex J MacGregor, Harold Snieder and Tim D Spector and Genetic Epidemiology Unit, St Thomas Hospital, London, UK The objective of this study was to estimate how much of an individual s appreciation of humour is influenced by genetic factors, the shared environment or the individual s unique environment. A population-based classical twin study of 127pairs of female twins (71monozygous (MZ) and 56 dizygous (DZ) pairs) aged 20 75 from the St Thomas UK Adult Twin Registry elicited responses to five Far Side Larson cartoons on a scale of 0 10. Within both MZ and DZ twin pairs, the tetrachoric correlations of responses to all five cartoons were significantly greater than zero. Furthermore, the correlations for MZ and DZ twins were of similar magnitude and in some cases the DZ correlation was greater than that of the MZ twins. This pattern of correlations suggests that shared environment rather then genetic effects contributes to cartoon appreciation. Multivariate model -fitting confirmed that these data were best explained by a model that allowed for the contribution of the shared environment and random environmental factors, but not genetic effects. However, there did not appear to be a general humour factor underlying responses to al l fi ve cartoons and no effect of age was seen. The shared environment, rather than genetic factors, explains the familial aggregation of humour appreciation as assessed by the speci fi c off the w al l cognitive type of cartoons used in this study. (2000) 3, 17 22. Keywords: genetics, humour, twins, multivariate, model fitting Introduction What is your response to cartoons? Would other members of your famil y respond i n a si mil ar w ay, or acquaintances with similar educational or socioeconomic backgrounds? Do you think that your response i s unique? These questi ons refer to three factors that have been i dentifi ed as i nfluences on human behavioural and physi ol ogi cal devel opment: geneti cs, shared family environment and the individual s unique environment. All can be assessed directly i n a study of MZ and DZ twins. 1 Tw i ns, unless separated at bi rth or during thei r youth, grow up in a shared environment. Often twins continue to have similar lifestyles, even after they have left this shared environment. Because of their differential genetic si mil arities M Z (monozygous) twins share 100% of their genes and DZ (dizygous) twi ns share on average 50%, i e no more than do ordinary siblings twins provide a sound model by w hich to estimate the rel ative i mportance of genetic and envi ronmental i nfl uences i n a control l ed manner. The origins of humour have been the source of much speculation, 2 7 but have never been subject to examination in a twin study. There is no accepted or Correspondence: Dr Ti m Spector, Tw i n Research and Genetic Epidemiology Unit, St Thomas Hospital, Lambeth Palace Road, London SE1 7EH, UK. E-mail: tim.spector@kcl.ac.uk Received 14 January 1999; revised 25 March 1999; accepted 10 August 1999 standardised way of testing humour. In this report we present the results of a study of the responses of MZ and DZ twins to five Far Side Larson 8 cartoons which represent one facet of humour. We use this information to quantify the relative importance of genetic, shared environmental and unique environmental effects on appreciation of this specific type of humour. Methods Participants The subjects w ere 127 pai rs of femal e femal e tw i ns, selected at random from the St Thomas Adult UK Tw i n Regi stry, 9 w hich comprises a cohort of M Z and DZ female twins pairs. All are healthy volunteers who were originally recruited through a national media campai gn and from twi n regi sters. 10 The zygosi ty of the twi ns w as measured by questionnaire 11 and validated by multiplex DNA fingerprinti ng usi ng variabl e tandem repeats. Cartoon selection In choosing cartoons for this study, we have taken into account Eysenck s observations on the subject of humour. 2 Eysenck cl assi fi ed humour appreci ation into three main types; conative, affective and cognitive, as represented i n Fi gure2. The conative aspect relates to the satisfaction of the desire for superiority, the joyful consci ousness of superi or adaptati on (eg

y 18 Twin study of humour gloating over physical imperfections or accidents). A ffective jokes address the emotions and rel y on various cultural assumptions, such as sexual, raci al, or ethnic themes to derive their humour (eg dirty jokes or of the Englishman, the Irishman and the Scotsman type). With cognitive jokes, appreciation results from the sudden, insightful integration of contradictory or i ncongruous i deas, attitudes, or sentiments which are experienced objectively, that is, from getting the joke. Eysenck further argues that the conative and affective aspects of humour can be grouped together under the general name of orectic (from the Greek orektikos yearning after, to reach after), as they are rel ated much more cl osel y to each other than either is to the cognitive aspect. Because of their nature, orectic jokes may alienate various members of the audience and thus potentially bias the sample. To avoid this, we intentionally used only clever jokes involving predominantly the cognitive aspect of humour, as there i s no reason to expect bi ased responses w hen the sti mul us or theme i s of a l ess affective nature. 3 Five cartoons (of which two are reproduced in Fi gure1) w ere sel ected for a humour questionnai re from a group of 15cartoons given as a pilot study to 30 members of the Tw i n Research and Geneti c Epidemiology Unit. All 15cartoons were drawn by Gary Larson and had not been seen previousl y by members of the unit. They were taken from A Prehistory of the Far Side: A 10th Anniversary Exhibit. 8 The fi ve cartoons chosen w ere those that had el i ci ted the broadest range of responses i n the pilot study. All were images, al though one (Cartoon 2) had an accompanying caption. Cartoon 1: a dog tethered to the mast of a Viking ship w ags i ts tai l as i ts ow ner and other Vi kings return from a burning and presumabl y pil l aged castl e. Cartoon 2: a group of people stands in a doorway to a room i n w hich a composer si ts at hi s pi ano. The composer s head i s sl umped agai nst the keyboard and hi s arm, or the skel etal remai ns thereof, hangs to his si de. The caption below reads shhhh! the Maestro i s decomposing! Cartoon 3: a woman stands in her living room, peering i nto a fi shbow l ; her eye magnifi ed and Figure1 Examples of the cartoons (4 and 5) shown to the participants

Twin study of humour y 19 distorted by the water. Meanwhile, an enormous eye fills the window of the room, staring at her. Cartoons 4 and 5: see Fi gure1. Cartoon scoring Both members of a twin pair were given the selfcompletion humour questionnaire in a controlled setting, during the course of the general twin research vi si t. The questi onnai re, compri si ng the five cartoons, had written instructions asking them to rate the cartoons on a scal e of zero to ten, w here 0 meant that the cartoon was a waste of paper and 10 meant that it was one of the funniest cartoons they had ever seen. This w as si mil ar to a previousl y val i dated 7-poi nt scal e. 12 Both twins filled in the questionnai re at the same time i n adjoi ning rooms, so they were unable to comment on the exercise, nor were they able to look at their respective twin s reacti ons or responses to the cartoons. The tw i ns were given 5minutes for this task. Fi gure 2 This diagram, taken from Eysenck 2, represents the structure of the joke, showing the three-fold determination of laughter by cognitive, conative and affective factors Analysis The responses to each cartoon w ere scored as categorical variables and tetrachoric correlations were derived of pairwise MZ and DZ twin similari ties for these responses, usi ng PRELIS. 13 In order to separate geneti c from envi ronmental effects, a mul ti - variate model -fi tting approach w as used. This enabled all the information in the phenotypic polychoric correlation (and associated asymptotic covari ance matri ces) of the responses to al l fi ve cartoons for both MZ and DZ twin pairs to be anal ysed si multaneousl y. Three multivariate model s were tested: the Cholesky decomposition, independent pathway and common pathway models. 1 Whilst al l these model s decompose the variance i nto three components of variation: A (the additive genetic), C (the shared environmental) and E (the individual s unique experiences), each represents different ways in which genes and the environment may affect the observed correl ati ons betw een the outcome measures (i e the responses to the fi ve cartoons). The Cholesky decomposition model allowed us to explore the possi bl e existence of factors (genetic and environmental) that are shared by the outcome measures. Thus the model i mpli es a fi rst common genetic factor that l oads on al l fi ve response measures (A 1), a second common genetic factor (A 2) that l oads on al l but the fi rst measure, a third common genetic factor (A3) that loads on all but the first two measures etc. Common shared envi ronmental factors (C) and unique individual environmental factors (E) l oad on the response measures i n a si mil ar pattern to those of the genetic factors described. The independent pathway model is a sub-model of the Cholesky, assuming only one common factor of each type (A, C and E) l oading on al l the outcome measures. Besi de these three common factors, each of the fi ve response measures i s associ ated w i th three i ndependent A, C and E factors specific to that response. In the common pathway model, both genes and the environment are assumed to contri bute to a si ngl e l atent (unmeasured) variabl e eg sense of humour, w hich is responsible for the observed correlation of the response scores. Geneti c and envi ronmental factors speci fi c to each response are al so i ncorporated i n the model. The purpose of the model-fitting procedure is to explain the pattern of observed correlations using as few parameters as possible. Models were fitted to the correlation and associated asymptotic weight matrices by the method of w ei ghted l east squares usi ng Mx. 14 M x provides parameter estimates, a chi-square test (χ 2 ) of the goodness of fi t of the model, and the Akaike s information criterion (AIC). The overall χ 2 test measures the agreement betw een the observed and predicted variances and covariances in the

y 20 different zygosity groups. Sub-models were compared by hierarchic χ 2 tests, in which the χ 2 value for a nested model is subtracted from that of the full model. The degrees of freedom for this test are equal to the di fference betw een the degrees of freedom for the full and the nested model. The fit of the model is evaluated by Akaike s information criterion, calculated as χ 2 2df. The model with the lowest AIC refl ects the best bal ance of goodness of fi t and simplicity of the model. 1 In this best-fitting model, the proportion of variance explained by the specific variance components influencing each cartoon is esti mated. Prel i minary statistical anal ysi s w as done i n STATA, 15 the polychoric correlation and associated asymptotic covariance (weight) matrices were calculated using PRELIS. 13 Resul ts Twin study of humour The means and tetrachoric correlations of the responses to each cartoon for M Z and DZ twi n pai rs are show n i n Tabl e 1. M Z twi ns had a mean age of 60 years (SD = 11 yrs, range 20 75 yrs). DZ twins had a mean age of 52 years (SD = 12 yrs, range 24 71 yrs). Twin pairs showed considerable simi l arity i n thei r responses to al l fi ve cartoons, w i th correlations ranging from 0.24 to 0.61. The correlation of age w i th the fi ve i ndividual response scores was 0.18, 0.15, 0.07, 0.06 and 0.03. As the amount of variation accounted for by age w as at most 3%, age w as not i ncl uded i n the model s. The l ack of excess correl ation i n M Z w hen compared to DZ pai rs indicates that shared environmental factors (which might include, for example, the family environment, peer influences and education) rather than genetic influences contribute to the similarity in responses to the cartoons. Model-fitting to the polychoric correlation and asymptoti c covari ance matri ces of responses confirmed that a model without genetic factors and containing parameters for shared and unique environment only provided the best explanation of the data within each of the multivariate models tested Table 1 MZ and DZ means and tetrachoric correlations for individual cartoons MZ (n=71 pairs) DZ (n=56 pairs) Mean S.D. Corr Mean S.D. Corr Cartoon 1 2.10 2.14 0.28 2.01 2.36 0.32 Cartoon 2 5.09 2.68 0.38 4.48 2.76 0.45 Cartoon 3 2.81 2.39 0.32 2.73 2.59 0.24 Cartoon 4 4.03 2.89 0.39 3.59 2.72 0.61 Cartoon 5 4.37 2.73 0.50 4.52 2.67 0.41 SD: standard deviation of mean; Corr: tetrachoric correlations Table 2 (Tabl e 2). Genetic factors offered no si gnifi cant contribution under any of the three models. The Cholesky decomposition pathway model offered the best fi tting CE model overal l (by A IC), suggesting that the envi ronmental covari ati on betw een the response measures cannot be adequatel y expl ai ned by one common shared (or unique) environmental factor l oading on the responses to al l fi ve cartoons (i ndependent pathway model) nor can the covariation be explained by a single phenotypic latent variable humour (common pathway model). The parameter esti mates and 95% confi dence intervals for the best fitting Cholesky CE model are given in Table3. The contribution of the shared envi ronment to vari ati on i n responses to the fi ve cartoons varies between 37% and 59%. Non-shared individual environmental effects account for the remaining proportions of the phenotypic variance. Di scussi on Results of model fitting to cartoon responses Model 2 df AIC 2 df P Cholesky model ACE 127.93 50 27.93 AE 234.00 65 104.25 106.07 15 <0.001 a CE 134.35 65 4.35 6.42 15 ns a Independent pathway model ACE 161.02 65 31.02 AE 335.30 75 185.31 174.28 10 <0.001 b CE 177.52 75 27.52 16.50 10 <0.10 b Common pathway model ACE 226.07 73 80.07 AE 391.20 79 233.20 165.13 6 <0.001 c CE 230.84 79 72.84 4.77 6 ns c a compared with ACE model; b compared with ACE model; c compared with ACE model; 2 : 2 goodness of fi t stastistic; df: degrees of freedom; 2 : difference in 2 ; df: difference in degrees of freedom. A IC: A kai ke s i nformation criterion (AIC= 2 2df) used to evaluate the fit of the models. Best fitting model for each of the three types of multivariate models is in bold For many dimensions of human behaviour, includi ng personal i ty and soci al atti tudes a si gni fi cant genetic contribution has been reported. 16 Sense of Table 3 Estimated variance components from best-fitting CE Cholesky model with 95% lower and upper confidence intervals Shared- Non-shared environmental environmental Variable variance C (95% CI) variance E (95% CI) Cartoon 1 37% (26 47%) 63% (43 84%) Cartoon 2 48% (41 55%) 52% (33 71%) Cartoon 3 35% (25 44%) 65% (45 85%) Cartoon 4 59% (52 67%) 41% (22 60%) Cartoon 5 49% (40 57%) 51% (32 71%)

Twin study of humour y 21 humour, however, until now has not been independentl y i nvesti gated i n these terms, al though l i nks between sex, age, personal i ty and i ntelligence with different aspects of humour have been studied. 2 7 There is evidence that humour appreciation varies w i th age and conservati sm, dependi ng on the humour content; that extroverts and males are more likely to appreciate orectic type jokes and that the magnitude of response to a cognitive joke depends on the match between the cognitive demand of the stimulus and the individual s psychometric abilities. The l ack of a correl ation w i th age i n the present study is surprising but may reflect the specific content of the cartoons. Just as the rel ati ve contri buti on of geneti c and envi ronmental i nfl uences to sense of humour i s l argel y i rresol ute w i thin the l i terature, sense of humour itself is ill defined. Sense of humour commonly refers at once to the ability to respond to events, scenari os, or cul tural producti ons w hi ch have been termed funny within a given culture (ie appreciation of humour) and conversely, to the ability to create, or draw attention to these same events, scenari os, or producti ons (i e creati on of humour). Furthermore, humour appreciation cannot necessaril y be equated w i th l aughter. 4 As for the determinants of humour, the general conclusions seem to be that there are no cl ear objective criteria for determining what is funny and what is not 3 and that it is something either innate or closely related to personality. 4 If humour is innate, then we might expect to find it is strongly influenced by genetic factors. The postulated link between humour and personality al so suggests there may be a rol e for genetic i nfluences, as researchers have al ready demonstrated a genetic contribution to many aspects of personality. 16 Furthermore, appreciation of a cognitive type joke may be associated with IQ, 5 which is generally accepted to have some degree of genetic determination. 17 Unfortunately, we did not have any cognitive information on the twins in this study, so could not i nvestigate any rel ationship between thei r responses and psychometric abilities. However, given these w el l recognised associ ations, i t i s surprisi ng that our results do not support the notion of a genetic contribution to the appreciation of humour. The reason w e did not detect a genetic component may relate to the problem of definition. This study did not seek to defi ne sense of humour, a task w hich no philosopher, psychologist, or scientist has yet fulfilled, though many have tried, from Aristotle and Cicero to Schopenhauer, Kant, and Freud. 2 We were i nterested only i n approximating the aetiol ogy of appreciation of cognitive humour, being just one aspect of sense of humour defi ned by Eysenck. 2 Thus, our choice of material may have influenced our results. A ppreci ation of visual cartoons of this off-beat nature may well have a different aetiology to the appreciation of jokes which represent more cl osel y the conative or affective aspects of humour defined by Eysenck. Determinants of humour creation may also vary. Nonethel ess, our data do suggest that appreci ati on or not of a Larson-type cartoon in the cognitive domai n i s l argel y i nfluenced by the shared environment, with no significant contribution from genetic factors. It i s i nteresting to speculate over the rel ative i mpact of, for exampl e, fami l y, peers, teachers, rel i gi on, the media and pol i tics i n this regard. Humour has l ong been theori sed by psychol ogi sts and anthropologists alike to be a means of expressi ng what is most utterly human, yet it seems from our fi ndings that at l east some aspects of humour can be learned. Acknowledgements We are grateful for the hel p of the Tw i n Research interviewers Lucy Campbell, Ursula Perks, Karen Smith, Naomi Welsh and Lucy Wormald and to Olivia Schiffer and Dr Chris Hammond for admini stering the questionnai res. We are al so grateful to the twins themselves for their willing participation in the study and their sense of humour. This research was partly funded by grants from the Chronic Di sease Research Foundation, The Wellcome Trust and Gemini Research Ltd. References 1 Neale MC, Cardon LR. Methodology for Genetic Studies of Twins and Families. Kluwer: Dordrecht, 1992. 2 Eysenck HJ. The appreciation of humour: an experimental and theoretical study. Br J Psychol 1942; 32: 295 309. 3 Brodzinsky DM, Rubien J. Humor production as a function of sex of subject, creativity, and cartoon content. J Consult Clin Psychol 1976; 44: 597 600. 4 Thorson JA, Powell FC. Sense of humor and dimensions of personality. J Clin Psychol 1993; 44: 799 809. 5 Thorson JA, Powell FC. Development and validation of a multidimensional sense of humor scale. J Clin Psychol 1993; 49: 13 23. 6 Schaier AH, Cicerelli VG. Age differences in humor comprehension and appreciation in old age. J Gerontol 1976; 31: 577 582. 7 Ruch W, McGhee PE, Hehl F. Age differences in the enjoyment of incongruity-resolution and nonsense humour during adulthood. Psychol Aging 1990; 5(3): 348 355. 8 Larson G. A Prehistory of the Far Side: A 10th Anniversary Exhibit. Creators Syndicate International, 1992. 9 St Thomas Adult UK Twin Registry. Twin Res 1998; 1(1): 47. 10 Spector TD, Cicuttini F, Baker J, Loughlin J, Hart D. Genetic influences on osteoarthritis in women: a twin study. Br Med J 1996; 312: 940 944.

y 22 Twin study of humour 11 Martin NG, Martin PG. The inheritance of scholastic abilities i n a sample of twi ns. A scertai nment of the sample and diagnosis of zygosity. Ann Hum Genet 1975; 39: 213 218. 12 Johnson A M. Language ability and sex affect humour appreciation. Percept Motor Skills 1992; 75: 571 581. 13 Joreskog KG, Sorbom D. PRELIS: a preprocessor for LISREL. 2nd edn. Scientific Software: Mooresville, IN, 1988. 14 Neale MC. Mx: Statistical Modelling, 2nd edn. Department of Psychiatry, University of Virginia: Richmond, 1995. 15 StataCorp. Stata statistical software, release 5.0. Stata Corp: College Station, 1997. 16 Eaves LJ, Eysenck HJ, Martin NG. Genes, Culture, and Personality: An Empirical Approach. Academic Press: London, 1989. 17 Henderson ND. Human behavior genetics. Ann Rev Psychol 1982; 33: 403 440.