The NCO Cohort Directory aims to signpost users to population cohorts in Singapore to maximise the use and translation of these valuable Singapore resources. It provides a high-level overview of the cohort profile, type of data collected and cohort contact information.
BREAst screening Tailored for HEr (BREATHE) is a pilot risk-based screening programme that aims to study the acceptability of risk stratification to aid women in their decision making to attend regular screening. Shifting the paradigm from an age-based risk screening, BREATHE integrates both genetic and non-genetic factors to predict one’s breast cancer risk. Participants who have consented to the study would be required to attend three sessions; recruitment, 1st follow-up session and final follow-up session. With the data and biospecimens donated, participants would receive a tailored breast cancer risk report at 1st follow-up session. The final follow-up session is conducted to evaluate the changes in the screening behaviours of participants, and assess if risk-based screening has improved an individual’s willingness to screen regularly.
Gender | Female |
Ethnicity | Chinese, Malay, Indian, Other |
Age range at baseline | 35 to 69 |
Sample size at baseline | 4,592 |
Baseline collection period | 2021 to 2023 |
Follow-up timepoints | 3 months after recruitment, 2 years after recruitment |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, physical activity status, women’s health, quality of life, type of diet, probiotics use, supplement use, durian consumption, biopsies and benign breast diseases, type of gynaecological history, family history of cancers (breast, ovarian and others), parity, use of contraceptives and hormone replacement treatment |
Physical measurements | Anthropometrics |
Biochemistry | NA |
Biospecimens | Buccal swaps |
Omics | Polygenic risk scores |
Images | Mammograms |
Principal Investigator(s) (Emails): Associate Professor Mikael Hartman (mikael_hartman@nuhs.edu.sg)
Primary contact(s) (Emails): –
Website: https://blog.nus.edu.sg/breathe/
Selected Research Outputs: PMID: 35358246
Over the course of 2009 and 2010, Singaporean women were enrolled in GUSTO, from a point in early pregnancy. With the longitudinal cohort study being in its 14th year, mother-child dyads have been extensively phenotyped with continuous collection of data. As the GUSTO children journey through life, we are there every step of the way. The detailed observations and sampling on these mothers and children have been instrumental in discovering features more representative of the local and Asian population that can be used to improve the health and potential of our communities, with an earlier start.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 0-16 years |
Sample size at baseline | 1,468 |
Baseline collection period | 2009 to 2010 |
Follow-up timepoints | 19-21 week, 26-28 week, 32-34 week, Delivery (2009 – 2011), Day 1, Week 1, Week 3, Month 3, Month 6 (2010 – 2012), Month 9, Month 12, Month 15, Month 18 (2011 – 2013), Month 24, Month 36 (2012 – 2014), Year 4 (2013 – 2015), Year 4.5, Year 5 (2014 – 2016), Year 5.5, Year 6 (2015 – 2017), Year 6.5, Year 7 (2016 – 2018), Year 8 (2017 – 2019), Year 9 (2018 – 2020), Year 10 (2019 – 2021), Year 10.5, Year 11 (2021 – 2022), Year 12 (2021 – 2023), Year 13 (2022 – current), Year 14 (2023 – current) |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, women’s health, cognitive function, mental health, quality of life, visit https://gustodatavault.sg/catalogue/?collection=gusto for more |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, eye examination, bone density |
Biochemistry | Glycaemic, lipids, liver function, renal function, full blood count, inflammation, bone metabolism, growth hormones, endocrinology, thyroid function, metabolic |
Biospecimens | Whole blood, plasma, serum, DNA, RNA, stool, saliva, buccal swaps, urine, visit https://gustodatavault.sg/biobank/ for more |
Omics | Visit https://gustodatavault.sg/omics/ |
Images | Ultrasound and digital scans |
Principal Investigator(s) (Emails): Professor Chong Yap Seng (obgcys@nus.edu.sg) and Professor Johan Eriksson (obgjge@nus.edu.sg)
Primary contact(s) (Emails): Huang Lehui Ann (annhuang@nus.edu.sg) and Vicky Tay (medthkv@nus.edu.sg)
Website: www.gusto.sg
Selected Research Outputs: PMID: 23912809
Repository of healthy volunteers, patients with cardiometabolic and cardiomyopathies. Stored samples include serum and whole blood. All individuals have cardiovascular magnetic resonance imaging.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 21 to 99 |
Sample size at baseline | 3,000 (on-going) |
Baseline collection period | 2015 to current |
Follow-up timepoints | NA |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, sleep behaviour, physical activity status |
Physical measurements | Anthropometrics, blood pressure, heart rate, eye examination |
Biochemistry | Nil |
Biospecimens | Whole blood, serum, DNA |
Omics | NA |
Images | Cardiac MRI |
Principal Investigator(s) (Emails): Professor Calvin Chin (gmsccwl@nus.edu.sg)
Primary contact(s) (Emails): –
Website: –
Selected Research Outputs: –
PHASE is a nationally representative longitudinal survey of older community-dwelling Singapore citizens and permanent residents aged 60 years and above at baseline, with three waves of data about the same participants: in 2009 (wave 1), 2011-12 (wave 2) and 2015 (wave 3). In wave 1, 4,990 participants were interviewed, and data was collected on a range of physical, mental and social health variables along with anthropometric and performance measurements. In wave 2, 3,103 participants were re-interviewed, and in addition to wave 1 measures, data was collected on falls, transfers to/from family members, health insurance, and use of health services and medications. In wave 3, 1,572 participants were interviewed for a 3rd time, with additional data on employment, physical activity, health literacy, medication use and adherence, and physical frailty.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian, Other |
Age range at baseline | 60 to 101 |
Sample size at baseline | 4,990 |
Baseline collection period | Jan to Dec 2009 |
Follow-up timepoints | 2011 to 2012, 2015 |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, sleep behaviour, physical activity status, cognitive function, mental health, household composition and living arrangement, employment, income and perceived income adequacy, loneliness, social networks, social participation, intergenerational transfers, self-rated health, vision and hearing, activities of daily living (ADLs) and instrumental ADLs (IADLs), falls, physical frailty, pain, dental health, personal mastery |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, chair stand test, gait speed |
Biochemistry | NA |
Biospecimens | NA |
Omics | NA |
Images | NA |
Principal Investigator(s) (Emails): Professor Rahul Malhotra (rahul.malhotra@duke-nus.edu.sg)
Primary contact(s) (Emails): care-datarequest@duke-nus.edu.sg
Website: www.duke-nus.edu.sg/care/research/dataset-codebook
Selected Research Outputs: PMID: 31377801
PIONEER is a nationally-representative and a population-based study investigating the clinical, biological, anthropomorphic, and psychosocial phenotypes of elderly (≥ 60 years) Singaporeans (Malays, Indians and Chinese) to better understand the epidemiology, burden, and complex mechanisms associated with age-related sensory deterioration.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 60 and above |
Sample size at baseline | 2,643 |
Baseline collection period | 2017 to 2022 |
Follow-up timepoints | 2023 to current |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, cognitive function, mental health, quality of life, falls |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, eye examination, bone density, gait/ balance, hearing, smell |
Biochemistry | Glycaemic, lipids, liver function, renal function, full blood count, inflammation, bone metabolism |
Biospecimens | Plasma, DNA, RNA, urine |
Omics | NA |
Images | Retinal images, OCT, OCT-A |
Principal Investigator(s) (Emails): Prof Ecosse Lamoureux (ecosse.lamoureux@duke-nus.edu.sg) and Dr Preeti Gupta (preeti.gupta@seri.com.sg)
Primary contact(s) (Emails): –
Website: –
Selected Research Outputs: PMID: 33269099
Initiated in 1993, the main objective of Singapore Chinese Health Study (SCHS) is to build a stable cohort for long term study of dietary, genetic, and environmental determinants of cancer and other chronic diseases in Singapore. The cohort included Chinese Singaporeans residing in public housing. One of the major strengths of SCHS is its ability to examine potential disease-protective dietary factors that are rarely consumed among the well-studied occidental populations.
Gender | Male, Female |
Ethnicity | Chinese |
Age range at baseline | 45 to 74 years |
Sample size at baseline | 63,257 |
Baseline collection period | 1993 to 1998 |
Follow-up timepoints | 1999 to 2004, 2006 to 2010, 2014 to 2017, 2017 to 2018, 2018 to 2019 |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, women’s health, cognitive function |
Physical measurements | Anthropometrics, blood pressure, grip strength, time-up-and-go, gait speed |
Biochemistry | NA |
Biospecimens | Plasma, Serum, Buffy coat, Urine |
Omics | NA |
Images | NA |
Principal Investigator(s) (Emails): Professor Koh Woon Puay (kohwp@nus.edu.sg)
Primary contact(s) (Emails): –
Website: https://www.schs.pitt.edu/
Selected Research Outputs: PMID: 28535164; 29457582; 30165478
The Singapore Cohort Of Risk factors for Myopia (SCORM), the first myopia cohort study launched in Asia and one of the first studies in the world, launched in the year 1999. It has provided rich information on the aetiology, pathological abnormalities, genetic and environmental risk factors for myopia in Singapore children. The SCORM study included a total of 1,979 children aged 7 to 9 years to determine the environmental and genetic risk factors for myopia, ocular biometric changes and pathological abnormalities. The SCORM Children were recruited from three schools in Singapore during the years 1999 and 2001 and were followed up annually until 2006 (1,053 children).
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian, Other |
Age range at baseline | 7 to 9 years |
Sample size at baseline | 1,979 |
Baseline collection period | 1999 to 2001 |
Follow-up timepoints | 2002, 2003, 2004, 2005, 2006, 2007, 2016, 2017, 2019 |
Questionnaire data | Medical history, dietary assessment, sleep behaviour, physical activity status, women’s health, cognitive function, mental health, quality of life, reading, outdoor activities, near work, family medical history, parental near work, parental smoking, Raven matrix |
Physical measurements | Anthropometrics, eye examination, hearing |
Biochemistry | NA |
Biospecimens | DNA, saliva, buccal swaps |
Omics | NA |
Images | Fundus photos, OCT |
Principal Investigator(s) (Emails): Professor Saw Seang Mei (ephssm@nus.edu.sg)
Primary contact(s) (Emails): –
Website: –
Selected Research Outputs: PMID: 11211020
The Singapore Epidemiology of Eye Diseases (SEED) study aimed to investigate prevalence, incidence, risk factors and impact of Asian eye diseases in the three major racial/ethnic groups (Chinese, Malays, Indians) in Singapore. It used an age-stratified random sample selected from 15 districts approximating Singapore’s socio-economic and demographic structure. SEED has three further follow-ups: 6-year follow-up (SEED-2), 12-year follow-up (SEED-3) and 20-year follow-up (SEED-4). The detailed phenotyping conducted by SEED highlights ethnic differences in disease prevalence and risk factors, which provides important insights into global eye health.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 40 to 80 years |
Sample size at baseline | 10,033 |
Baseline collection period | 2004 to 2011 |
Follow-up timepoints | 2011 to 2017, 2017 to current |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, women’s health, cognitive function, mental health, quality of life, demographics, family history of diseases, diabetes awareness. |
Physical measurements | Anthropometrics, blood pressure, heart rate, eye examination |
Biochemistry | Glycaemic, lipids, renal function, full blood count |
Biospecimens | Whole blood, urine, buccal swab |
Omics | Genotyping array, metabolite |
Images | Retinal photography, cirrus OCT (macula), spectralis OCT, angiovue OCT-A, triton OCT-A |
Principal Investigator(s) (Emails): Professor Cheng Ching-Yu (chingyu.cheng@duke-nus.edu.sg)
Primary contact(s) (Emails):
Website: https://blog.nus.edu.sg/seed/
Selected Research Outputs: PMID: 33393587; 30529130; 25104651
SG100K is a multi-institutional cohort study in Singapore which aims to recruit 100,000 diverse Chinese, Malay, and Indian participants to identify the social, environmental, lifestyle, and genetic factors associated with diseases prevalent in Singapore. SG100K comprises participants from four cohort studies in Singapore: Health for Life in Singapore (NTU), Singapore Population Health Studies (NUS), Singapore Epidemiology of Eye Diseases (SERI) and SingHeart (NHCS). The study will collect detailed information on health, lifestyle, environment, and physical well-being from 100,000 volunteers. This includes assessment of diet and lifestyle choices through a structured questionnaire, and measurement of waist-hip circumference, blood pressure, physical fitness, lung function, body composition, skeletal health, cardiovascular health, cognitive performance, as well as glucose and cholesterol levels. Key biological samples such as blood, urine and skin tapes are also collected.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 21 to 84 |
Sample size at baseline | 100,000 (expected) |
Baseline collection period | 2004 to current |
Follow-up timepoints | NA |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, men’s health, women’s health, cognitive function, mental health, quality of life |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, eye examination, bone density, fitness test with ECG monitoring, accelerometer, spirometry, arterial stiffness, skin physiology, audiometry |
Biochemistry | Glycaemic, lipids, renal function, full blood count |
Biospecimens | Whole blood, urine |
Omics | Whole genome sequencing, DNA methylation profiling |
Images | Carotid ultrasound, DXA, 2D colour fundus, OCT-A |
Principal Investigator(s) (Emails): Professor John Chambers (john.chambers@ntu.edu.sg)
Primary contact(s) (Emails): –
Website: –
Selected Research Outputs: PMID: 31626772; 34960161; 35361824
SingHeart proposes to study a prospective cohort of relatively healthy individuals, using comprehensive clinical information, advanced imaging (including cardiac MRI and CT calcium score), cardiovascular exercise physiology, metabolomics, circulating markers of cardiac injury, genetic analysis stool microbiome and non-mydriatic retinal imaging. These findings will be correlated with adverse clinical outcomes including death, stroke and myocardial infarction. In selected cases, follow-up imaging and biomarker samples will also be obtained. These studies will enable us to begin to address a critical gap in our knowledge as to how best to interpret the very large number of cardiovascular tests done in Singapore and how to better predict outcomes and manage healthcare costs in our local populations.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian, Other |
Age range at baseline | 21 to 69 |
Sample size at baseline | 1,088 |
Baseline collection period | 2015 to current |
Follow-up timepoints | NA |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, men’s health, mental health, quality of life, family history, TCM, supplement use, tea/ coffee consumption |
Physical measurements | Anthropometrics, blood pressure, heart rate |
Biochemistry | Glycaemic, lipids, liver function, renal function, full blood count |
Biospecimens | Whole blood, serum, DNA |
Omics | Whole genome sequencing, metabolomic |
Images | Vascular ultrasound, retinal imaging, cardiac MRI and CT calcium score |
Principal Investigator(s) (Emails): Professor Yeo Khung Keong (yeo.khung.keong@singhealth.com.sg)
Primary contact(s) (Emails): –
Website: –
Selected Research Outputs: PMID: 31752689
The primary objective of SLAS-YS was to furnish scientific evidence to support policy development and implementation of strategies, programs, and practices related to disability prevention and the promotion of healthy ageing in Singapore. The Singapore Longitudinal Ageing Studies (SLAS) comprised of two cohorts aged 55 and above: SLAS-1 (commenced in 2003) and SLAS-2 (commenced in 2008). The Yishun Study (YS) recruited 542 adults (≥21 years) from Yishun via stratified random sampling. Additional recruitment of older individuals (>75 years) occurred at senior activity centres.
SLAS-1
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 55 to 98 years |
Sample size at baseline | 2,804 |
Baseline collection period | 2003 to 2005 |
Follow-up timepoints | 2005 to 2007, 2007 to 2009, 2018 to 2020 |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, physical activity status, cognitive function, mental health, quality of life |
Physical measurements | Anthropometrics, blood pressure, heart rate, eye examination, ECG monitoring, spirometry, POMA-B, POMA-G |
Biochemistry Tests | Glycaemic, lipids, liver function, renal function, full blood count, inflammation, bone metabolism, metabolic, Vitamin B12, folate, Apo-E-genotype |
Biospecimens | Whole blood |
Images | MRI |
SLAS-2
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 54 to 94 years |
Sample size at baseline | 3,270 |
Baseline collection period | 2008 to 2013 |
Follow-up timepoints | 2013 to 2018 |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, cognitive function, mental health, quality of life, frequency of computer and internet usage, mobile phone usage, history of eye health, levels of tiredness, activities of daily living, severity of dyspnoea |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, eye examination, ECG monitoring, accelerometer, spirometry, POMA-B, POMA-G, functional reach, fast gait speed, dynamometry |
Biochemistry Tests | Glycaemic, lipids, liver function, renal function, full blood count, inflammation, bone metabolism, thyroid function, metabolic, APOE, folate, TNFA |
Biospecimens | Whole blood |
Images | MRI |
YS
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 21 to 90 years |
Sample size at baseline | 534 |
Baseline collection period | 2017 to 2019 |
Follow-up timepoints | NA |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, physical activity status, women’s health |
Physical measurements | Anthropometrics, blood pressure, grip strength, eye examination, bone density, fat and muscle mass measurement, gait parameters, physiological profile assessment |
Biochemistry Tests | NA |
Biospecimens | Whole blood |
Images | NA |
Principal Investigator(s) (Emails) for SLAS: Professor Roger Ho Chun Man (pcmrhcm@nus.edu.sg)
Primary contact(s) (Emails) for SLAS: –
Website for SLAS: –
Selected Research Outputs for SLAS: PMID: 33589714
Principal Investigator(s) (Emails) for YS: Dr Rachel Cheong Chin Yee (cheong.chin.yee@ktph.com.sg)
Primary contact(s) (Emails) for YS: –
Website for YS: –
Selected Research Outputs for YS: PMID: 33589714
Over the course of 2015 and 2017, Singaporean women without fertility issues and intending to get pregnant were enrolled in S-PRESTO. S-PRESTO has the advantage to prospectively assess a wide array of potential determinants of future health outcomes in women from preconception to post-delivery and in their offspring across the earliest development from embryonic stages into early childhood.
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 0 to 8 |
Sample size at baseline | 1,054 |
Baseline collection period | 2015 to 2017 |
Follow-up timepoints | Preconception Visit 1 (2015 – 2017), Preconception Visit 2 (2015 – 2018), Pregnancy Visit 1 (2015 – 2019), Pregnancy Visit 2, Pregnancy Visit 3 (2015 – 2019), Pregnancy Visit 4, Pregnancy Visit 5, Delivery (2015 – 2019), Partner Visit (2015 – 2021), Week 1 (2016 – 2019), Week 3, Month 1, Week 6, Month 3 (2016 – 2020), Month 6, Month 12, Month 18 (2017 – 2021), Month 24 (2018 – 2021), Month 36 (2019 – 2022), Year 4 (2020 – 2023), Year 5 (2021 – current), Year 6 (2022 – current), Year 7 (2023 – current), Year 8 (2024 – current) |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, men’s health, women’s health, mental health, quality of life, visit https://gustodatavault.sg/catalogue/?collection=spresto for more |
Physical measurements | Anthropometrics, blood pressure, grip strength, bone density |
Biochemistry | Glycaemic, lipids, liver function, renal function, full blood count, inflammation, growth hormones, metabolic |
Biospecimens | Whole blood, plasma, serum, DNA, RNA, stool, saliva, buccal swaps, urine, hair, epithelial swabs, breastmilk, skin microbiome, nasal swab |
Omics | Available, visit https://gustodatavault.sg/biobank/biodata?collection=spresto |
Images | Ultrasound, digital scans |
Principal Investigator(s) (Emails): Professor Chong Yap Seng (obgcys@nus.edu.sg) and Professor Johan Eriksson (obgjge@nus.edu.sg)
Primary contact(s) (Emails): Huang Lehui Ann (annhuang@nus.edu.sg) and Vicky Tay (medthkv@nus.edu.sg)
Website: www.gusto.sg
Selected Research Outputs: PMID: 33222050
The Singapore Population Health Studies (SPHS) is a population-based health research initiative that aims to (i) investigate the interactions between lifestyle, physiological, genetic and other omics biomarkers and their impact on health and longevity; (ii) serve as a platform to monitor risk factors in the population and gain insight into determinants of health-related behaviours; and (iii) understand disease aetiology in urban Asian settings, and the development of improved preventive and therapeutic measures for Singapore and other Asian populations. Over a span of 20 years, health, lifestyle, environment, and physical well-being from over 70,000 volunteers across a collection of seven independent cohorts, including (i) three independent phases of the Multi-Ethnic Cohort (MEC1, MEC2 and MEC3), (ii) Diabetic Cohort (DC), (iii) Singapore Health Studies (SH2012, SH2) and (iv) Community Healthy Study (CHS).
Gender | Male, Female |
Ethnicity | Chinese, Malay, Indian |
Age range at baseline | 21 to 84 |
Sample size at baseline | Up to 70,000 |
Baseline collection period | 2004 to current |
Follow-up timepoints | 2011 – 2016, 2016 – 2020, 2022 – 2026 |
Questionnaire data | Medical history, medication use, tobacco use, alcohol consumption, dietary assessment, sleep behaviour, physical activity status, men’s health, women’s health, cognitive function, mental health, quality of life |
Physical measurements | Anthropometrics, blood pressure, heart rate, grip strength, eye examination, bone density, accelerometer, spirometry, skeletal |
Biochemistry | Glycaemic, lipids, lung function, renal function, liver function |
Biospecimens | Buffy coat, plasma, serum, whole blood, urine |
Omics | Whole genome sequencing with National Precision Medicine Programme |
Images | Carotid ultrasound, DXA, retinal images |
Principal Investigator(s) (Emails): Associate Professor Sim Xueling (ephsx@nus.edu.sg)
Primary contact(s) (Emails): SSHSPHDataRequest@nus.edu.sg
Website: https://blog.nus.edu.sg/sphs/
Selected Research Outputs: PMID: 29452397; 32474429; 25884916; 29544448; 34360408; 34476210