<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT02233127</url>
  </required_header>
  <id_info>
    <org_study_id>1000045918</org_study_id>
    <nct_id>NCT02233127</nct_id>
  </id_info>
  <brief_title>Birth Cohort in Rahimyar Khan, Pakistan</brief_title>
  <official_title>A Longitudinal Birth Cohort Study in Rahimyar Khan, Pakistan</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>The Hospital for Sick Children</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>March of Dimes</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Aga Khan University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>The Hospital for Sick Children</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      In 2010, 7.6 million children under the age of five died worldwide and yet the causes of only&#xD;
      2.7% (0.205 million) of these deaths were medically certified. A thorough understanding of&#xD;
      the causes of child mortality is necessary to guide research efforts aimed at tackling this&#xD;
      important global health problem. Prospective birth cohort studies present an opportunity to&#xD;
      examine the relationships between early-life exposures and multiple health and non-health&#xD;
      related outcomes including death, illness, and socioeconomic factors. In this study, we will&#xD;
      provide insight into the underlying causes of child mortality by collecting high-quality data&#xD;
      on early-life exposures and health and non-health related outcomes in the first year of life.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      In 2010, 7.6 million children under the age of five died worldwide (Liu et al., 2012).&#xD;
      Notably, the burden of under-five mortality varies dramatically by country. The majority of&#xD;
      total child deaths in 2010 were seen in Africa (3.6 million) and southeast Asia (2.1 million&#xD;
      deaths), compared to 0.16 million and 0.28 million under-five deaths in Europe and the&#xD;
      Americas, respectively (Liu et al., 2012). Strikingly, nearly half of the world's under-five&#xD;
      child deaths in 2010 could be attributed to only five countries: India, Nigeria, Democratic&#xD;
      Republic of the Congo, Pakistan, and China (Liu et al., 2012). In Pakistan alone, over&#xD;
      420,000 under-five child deaths occurred in 2010 (Liu et al., 2012).&#xD;
&#xD;
      A thorough understanding of the etiology of child mortality is necessary to guide research&#xD;
      efforts aimed at tackling this important global health problem. Importantly, in 2010, the&#xD;
      causes of only 2.7% (0.205 million) of all deaths in children under the age of five were&#xD;
      medically certified (Liu et al., 2012), highlighting the need to gather high-quality data on&#xD;
      the causes of mortality.&#xD;
&#xD;
      Prospective longitudinal birth cohort studies present an opportunity to examine temporal&#xD;
      relationships between early-life exposures (i.e. prenatal, pregnancy, and early postnatal&#xD;
      exposures) and multiple health and non-health related outcomes including mortality,&#xD;
      morbidity, and socioeconomic position. It is well documented that exposures that occur early&#xD;
      in life, including genetic, environmental, socioeconomic, and lifestyle factors, may have&#xD;
      long-lasting effects on growth, development, and health outcomes throughout an individual's&#xD;
      entire life course (Lynch &amp; Smith, 2005). Thus, data on exposures during pregnancy and early&#xD;
      childhood are valuable and may provide clues to the etiology of long-term outcomes.&#xD;
&#xD;
      Additional value can be gained through cross-cohort collaborations and comparisons (Larsen et&#xD;
      al., 2013)(Paternoster et al., 2012)(Brion et al., 2011). By pooling data from multiple&#xD;
      cohort studies, causal inferences can be made with greater confidence. In addition, through&#xD;
      cross-country comparisons, heterogeneity in exposures is often increased making it more&#xD;
      likely that an association between exposure and outcome will be observed. Similarly,&#xD;
      cross-cohort comparisons enable researchers to investigate patterns associated with health,&#xD;
      social, and economic outcomes in distinct regions of the world. These types of analyses may&#xD;
      provide valuable insight into the underlying causes of global health inequalities.&#xD;
&#xD;
      The objective of this study is to implement a longitudinal prospective birth cohort study in&#xD;
      Pakistan to obtain extensive and high-quality information on early-life exposures and health&#xD;
      and non-health related outcomes in the first year of life. Concurrent to the design and&#xD;
      implementation of this cohort study in Pakistan, similar studies are being implemented in&#xD;
      Kenya (Coastal Region Cohort, Lead PI: Dr. Shaun Morris), Brazil (Pelotas Cohort, Lead PIs:&#xD;
      Dr. Pedro R.C. Hallal, Dr. Diego G. Bassani and Dr. Mariangela Silveira), and South Africa&#xD;
      (Birth to Twenty Cohort, Lead PI: Dr. Shane Norris). The investigators of each project have&#xD;
      communicated their intent to align study materials in an effort to increase the ease of&#xD;
      future comparisons between findings. This study will therefore be one crucial pillar in a&#xD;
      multi-country cross-cohort comparison and presents a unique opportunity to investigate and&#xD;
      compare the patterns that shape health and non-health related outcomes in individuals from&#xD;
      four distinct regions in the world.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date>October 2014</start_date>
  <completion_date type="Actual">July 22, 2016</completion_date>
  <primary_completion_date type="Actual">July 22, 2016</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Prospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Mortality within the first year of life</measure>
    <time_frame>Day 3 of life, month 6 of life, month 12 of life</time_frame>
    <description>Death from any cause within the first year of life. Assessed by questionnaire.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Morbidity within the first year of a child's life</measure>
    <time_frame>Day 3 of life, month 6 of life, month 12 of life</time_frame>
    <description>The most common types of illness within the first year of a child's life will be assessed by questionnaire.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Development/behaviour of children aged 6 and 12 months in RYK, Pakistan</measure>
    <time_frame>Month 6 of life, month 12 of life</time_frame>
    <description>Assessed by questionnaire (12 month by adapted BSID-III)&#xD;
.</description>
  </secondary_outcome>
  <number_of_groups>1</number_of_groups>
  <enrollment type="Actual">2271</enrollment>
  <condition>Child Mortality</condition>
  <condition>Child Morbidity</condition>
  <condition>Child Development</condition>
  <condition>Child Behaviour</condition>
  <arm_group>
    <arm_group_label>Birth Cohort</arm_group_label>
    <description>The cohort will comprise approximately 3000 pregnant women and their unborn babies, enrolled to participate in the control arm of a cluster-randomized controlled intervention trial (NCT02130856).</description>
  </arm_group>
  <eligibility>
    <study_pop>
      <textblock>
        This study will be conducted in Rahimyar Khan (RYK) in Punjab Province, Pakistan and&#xD;
        follows a longitudinal birth cohort design that will be conducted alongside a&#xD;
        community-based, cluster randomized intervention trial in RYK (NCT02130856). In the&#xD;
        concurrent intervention trial, approximately 6000 pregnant women and their unborn babies&#xD;
        will be enrolled to participate in either the control or intervention arm of the trial;&#xD;
        approximately half of the women will be enrolled to the control arm and half will be&#xD;
        enrolled to the intervention arm. At the time of enrolment, women in the control arm of the&#xD;
        trial will also be asked to participate in the birth cohort study.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  All pregnant women and their home- or facility-born live newborns that consented to&#xD;
             participate in the control arm of the intervention trial &quot;An integrated toolkit to&#xD;
             save newborn lives in Pakistan&quot; (NCT02130856) will be eligible for this study&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Did not consent to participate in the control arm of &quot;An integrated toolkit to save&#xD;
             newborn lives in Pakistan&quot;(NCT02130856). Since the birth cohort study has been&#xD;
             designed to utilize a portion of the data collected in the neonatal kit trial,&#xD;
             individuals who do not enroll in the kit study will not be eligible to participate in&#xD;
             birth cohort study as they will not have a complete set of data.&#xD;
&#xD;
          -  Failure to provide consent to enroll in this study.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>1 Day</minimum_age>
    <maximum_age>1 Year</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Shaun K Morris, MD, MPH</last_name>
    <role>Principal Investigator</role>
    <affiliation>The Hospital for Sick Children</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Zulfiqar A. Bhutta, PhD, MBBS</last_name>
    <role>Principal Investigator</role>
    <affiliation>Aga Khan University and The Hospital for Sick Children</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>Aga Khan University</name>
      <address>
        <city>Karachi</city>
        <zip>74800</zip>
        <country>Pakistan</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>Pakistan</country>
  </location_countries>
  <reference>
    <citation>Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, Black RE; Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012 Jun 9;379(9832):2151-61. doi: 10.1016/S0140-6736(12)60560-1. Epub 2012 May 11. Erratum In: Lancet. 2012 Oct 13;380(9850):1308.</citation>
    <PMID>22579125</PMID>
  </reference>
  <reference>
    <citation>Larsen PS, Kamper-Jorgensen M, Adamson A, Barros H, Bonde JP, Brescianini S, Brophy S, Casas M, Charles MA, Devereux G, Eggesbo M, Fantini MP, Frey U, Gehring U, Grazuleviciene R, Henriksen TB, Hertz-Picciotto I, Heude B, Hryhorczuk DO, Inskip H, Jaddoe VW, Lawlor DA, Ludvigsson J, Kelleher C, Kiess W, Koletzko B, Kuehni CE, Kull I, Kyhl HB, Magnus P, Momas I, Murray D, Pekkanen J, Polanska K, Porta D, Poulsen G, Richiardi L, Roeleveld N, Skovgaard AM, Sram RJ, Strandberg-Larsen K, Thijs C, Van Eijsden M, Wright J, Vrijheid M, Andersen AM. Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol. 2013 Jul;27(4):393-414. doi: 10.1111/ppe.12060. Erratum In: Paediatr Perinat Epidemiol. 2013 Sep;27(5):505. Charles, Marie-Aline[added].</citation>
    <PMID>23772942</PMID>
  </reference>
  <reference>
    <citation>Lynch J, Smith GD. A life course approach to chronic disease epidemiology. Annu Rev Public Health. 2005;26:1-35. doi: 10.1146/annurev.publhealth.26.021304.144505.</citation>
    <PMID>15760279</PMID>
  </reference>
  <reference>
    <citation>Brion MJ, Zeegers M, Jaddoe V, Verhulst F, Tiemeier H, Lawlor DA, Smith GD. Intrauterine effects of maternal prepregnancy overweight on child cognition and behavior in 2 cohorts. Pediatrics. 2011 Jan;127(1):e202-11. doi: 10.1542/peds.2010-0651. Epub 2010 Dec 27.</citation>
    <PMID>21187310</PMID>
  </reference>
  <reference>
    <citation>Paternoster L, Standl M, Chen CM, Ramasamy A, Bonnelykke K, Duijts L, Ferreira MA, Alves AC, Thyssen JP, Albrecht E, Baurecht H, Feenstra B, Sleiman PM, Hysi P, Warrington NM, Curjuric I, Myhre R, Curtin JA, Groen-Blokhuis MM, Kerkhof M, Saaf A, Franke A, Ellinghaus D, Folster-Holst R, Dermitzakis E, Montgomery SB, Prokisch H, Heim K, Hartikainen AL, Pouta A, Pekkanen J, Blakemore AI, Buxton JL, Kaakinen M, Duffy DL, Madden PA, Heath AC, Montgomery GW, Thompson PJ, Matheson MC, Le Souef P; Australian Asthma Genetics Consortium (AAGC); St Pourcain B, Smith GD, Henderson J, Kemp JP, Timpson NJ, Deloukas P, Ring SM, Wichmann HE, Muller-Nurasyid M, Novak N, Klopp N, Rodriguez E, McArdle W, Linneberg A, Menne T, Nohr EA, Hofman A, Uitterlinden AG, van Duijn CM, Rivadeneira F, de Jongste JC, van der Valk RJ, Wjst M, Jogi R, Geller F, Boyd HA, Murray JC, Kim C, Mentch F, March M, Mangino M, Spector TD, Bataille V, Pennell CE, Holt PG, Sly P, Tiesler CM, Thiering E, Illig T, Imboden M, Nystad W, Simpson A, Hottenga JJ, Postma D, Koppelman GH, Smit HA, Soderhall C, Chawes B, Kreiner-Moller E, Bisgaard H, Melen E, Boomsma DI, Custovic A, Jacobsson B, Probst-Hensch NM, Palmer LJ, Glass D, Hakonarson H, Melbye M, Jarvis DL, Jaddoe VW, Gieger C; Genetics of Overweight Young Adults (GOYA) Consortium; Strachan DP, Martin NG, Jarvelin MR, Heinrich J, Evans DM, Weidinger S; EArly Genetics &amp; Lifecourse Epidemiology (EAGLE) Consortium. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2011 Dec 25;44(2):187-92. doi: 10.1038/ng.1017.</citation>
    <PMID>22197932</PMID>
  </reference>
  <verification_date>April 2017</verification_date>
  <study_first_submitted>August 5, 2014</study_first_submitted>
  <study_first_submitted_qc>September 5, 2014</study_first_submitted_qc>
  <study_first_posted type="Estimate">September 8, 2014</study_first_posted>
  <last_update_submitted>April 24, 2017</last_update_submitted>
  <last_update_submitted_qc>April 24, 2017</last_update_submitted_qc>
  <last_update_posted type="Actual">April 25, 2017</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>The Hospital for Sick Children</investigator_affiliation>
    <investigator_full_name>Shaun Morris</investigator_full_name>
    <investigator_title>Associate Staff Physician</investigator_title>
  </responsible_party>
  <keyword>Birth cohort</keyword>
  <keyword>Pakistan</keyword>
  <keyword>Child mortality</keyword>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT02233127
org study id: 1000045918
nct id: NCT02233127
lead sponsor: 
collaborator: 
collaborator: 
has dmc: No
In 2010, 7.6 million children under the age of five died worldwide and yet the causes of only
      2.7% (0.205 million) of these deaths were medically certified. A thorough understanding of
      the causes of child mortality is necessary to guide research efforts aimed at tackling this
      important global health problem. Prospective birth cohort studies present an opportunity to
      examine the relationships between early-life exposures and multiple health and non-health
      related outcomes including death, illness, and socioeconomic factors. In this study, we will
      provide insight into the underlying causes of child mortality by collecting high-quality data
      on early-life exposures and health and non-health related outcomes in the first year of life.
In 2010, 7.6 million children under the age of five died worldwide (Liu et al., 2012).
      Notably, the burden of under-five mortality varies dramatically by country. The majority of
      total child deaths in 2010 were seen in Africa (3.6 million) and southeast Asia (2.1 million
      deaths), compared to 0.16 million and 0.28 million under-five deaths in Europe and the
      Americas, respectively (Liu et al., 2012). Strikingly, nearly half of the world's under-five
      child deaths in 2010 could be attributed to only five countries: India, Nigeria, Democratic
      Republic of the Congo, Pakistan, and China (Liu et al., 2012). In Pakistan alone, over
      420,000 under-five child deaths occurred in 2010 (Liu et al., 2012).

      A thorough understanding of the etiology of child mortality is necessary to guide research
      efforts aimed at tackling this important global health problem. Importantly, in 2010, the
      causes of only 2.7% (0.205 million) of all deaths in children under the age of five were
      medically certified (Liu et al., 2012), highlighting the need to gather high-quality data on
      the causes of mortality.

      Prospective longitudinal birth cohort studies present an opportunity to examine temporal
      relationships between early-life exposures (i.e. prenatal, pregnancy, and early postnatal
      exposures) and multiple health and non-health related outcomes including mortality,
      morbidity, and socioeconomic position. It is well documented that exposures that occur early
      in life, including genetic, environmental, socioeconomic, and lifestyle factors, may have
      long-lasting effects on growth, development, and health outcomes throughout an individual's
      entire life course (Lynch & Smith, 2005). Thus, data on exposures during pregnancy and early
      childhood are valuable and may provide clues to the etiology of long-term outcomes.

      Additional value can be gained through cross-cohort collaborations and comparisons (Larsen et
      al., 2013)(Paternoster et al., 2012)(Brion et al., 2011). By pooling data from multiple
      cohort studies, causal inferences can be made with greater confidence. In addition, through
      cross-country comparisons, heterogeneity in exposures is often increased making it more
      likely that an association between exposure and outcome will be observed. Similarly,
      cross-cohort comparisons enable researchers to investigate patterns associated with health,
      social, and economic outcomes in distinct regions of the world. These types of analyses may
      provide valuable insight into the underlying causes of global health inequalities.

      The objective of this study is to implement a longitudinal prospective birth cohort study in
      Pakistan to obtain extensive and high-quality information on early-life exposures and health
      and non-health related outcomes in the first year of life. Concurrent to the design and
      implementation of this cohort study in Pakistan, similar studies are being implemented in
      Kenya (Coastal Region Cohort, Lead PI: Dr. Shaun Morris), Brazil (Pelotas Cohort, Lead PIs:
      Dr. Pedro R.C. Hallal, Dr. Diego G. Bassani and Dr. Mariangela Silveira), and South Africa
      (Birth to Twenty Cohort, Lead PI: Dr. Shane Norris). The investigators of each project have
      communicated their intent to align study materials in an effort to increase the ease of
      future comparisons between findings. This study will therefore be one crucial pillar in a
      multi-country cross-cohort comparison and presents a unique opportunity to investigate and
      compare the patterns that shape health and non-health related outcomes in individuals from
      four distinct regions in the world.
observational model: Cohort
time perspective: Prospective
measure: Mortality within the first year of life
time frame: Day 3 of life, month 6 of life, month 12 of life
description: Death from any cause within the first year of life. Assessed by questionnaire.
measure: Morbidity within the first year of a child's life
time frame: Day 3 of life, month 6 of life, month 12 of life
description: The most common types of illness within the first year of a child's life will be assessed by questionnaire.
measure: Development/behaviour of children aged 6 and 12 months in RYK, Pakistan
time frame: Month 6 of life, month 12 of life
description: Assessed by questionnaire (12 month by adapted BSID-III)
.
arm group label: Birth Cohort
description: The cohort will comprise approximately 3000 pregnant women and their unborn babies, enrolled to participate in the control arm of a cluster-randomized controlled intervention trial (NCT02130856).
study pop: 
sampling method: Probability Sample
criteria: 
gender: All
minimum age: 1 Day
maximum age: 1 Year
healthy volunteers: No
last name: Shaun K Morris, MD, MPH
role: Principal Investigator
affiliation: The Hospital for Sick Children
last name: Zulfiqar A. Bhutta, PhD, MBBS
role: Principal Investigator
affiliation: Aga Khan University and The Hospital for Sick Children
facility: 
country: Pakistan
citation: Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, Black RE; Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012 Jun 9;379(9832):2151-61. doi: 10.1016/S0140-6736(12)60560-1. Epub 2012 May 11. Erratum In: Lancet. 2012 Oct 13;380(9850):1308.
PMID: 22579125
citation: Larsen PS, Kamper-Jorgensen M, Adamson A, Barros H, Bonde JP, Brescianini S, Brophy S, Casas M, Charles MA, Devereux G, Eggesbo M, Fantini MP, Frey U, Gehring U, Grazuleviciene R, Henriksen TB, Hertz-Picciotto I, Heude B, Hryhorczuk DO, Inskip H, Jaddoe VW, Lawlor DA, Ludvigsson J, Kelleher C, Kiess W, Koletzko B, Kuehni CE, Kull I, Kyhl HB, Magnus P, Momas I, Murray D, Pekkanen J, Polanska K, Porta D, Poulsen G, Richiardi L, Roeleveld N, Skovgaard AM, Sram RJ, Strandberg-Larsen K, Thijs C, Van Eijsden M, Wright J, Vrijheid M, Andersen AM. Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol. 2013 Jul;27(4):393-414. doi: 10.1111/ppe.12060. Erratum In: Paediatr Perinat Epidemiol. 2013 Sep;27(5):505. Charles, Marie-Aline[added].
PMID: 23772942
citation: Lynch J, Smith GD. A life course approach to chronic disease epidemiology. Annu Rev Public Health. 2005;26:1-35. doi: 10.1146/annurev.publhealth.26.021304.144505.
PMID: 15760279
citation: Brion MJ, Zeegers M, Jaddoe V, Verhulst F, Tiemeier H, Lawlor DA, Smith GD. Intrauterine effects of maternal prepregnancy overweight on child cognition and behavior in 2 cohorts. Pediatrics. 2011 Jan;127(1):e202-11. doi: 10.1542/peds.2010-0651. Epub 2010 Dec 27.
PMID: 21187310
citation: Paternoster L, Standl M, Chen CM, Ramasamy A, Bonnelykke K, Duijts L, Ferreira MA, Alves AC, Thyssen JP, Albrecht E, Baurecht H, Feenstra B, Sleiman PM, Hysi P, Warrington NM, Curjuric I, Myhre R, Curtin JA, Groen-Blokhuis MM, Kerkhof M, Saaf A, Franke A, Ellinghaus D, Folster-Holst R, Dermitzakis E, Montgomery SB, Prokisch H, Heim K, Hartikainen AL, Pouta A, Pekkanen J, Blakemore AI, Buxton JL, Kaakinen M, Duffy DL, Madden PA, Heath AC, Montgomery GW, Thompson PJ, Matheson MC, Le Souef P; Australian Asthma Genetics Consortium (AAGC); St Pourcain B, Smith GD, Henderson J, Kemp JP, Timpson NJ, Deloukas P, Ring SM, Wichmann HE, Muller-Nurasyid M, Novak N, Klopp N, Rodriguez E, McArdle W, Linneberg A, Menne T, Nohr EA, Hofman A, Uitterlinden AG, van Duijn CM, Rivadeneira F, de Jongste JC, van der Valk RJ, Wjst M, Jogi R, Geller F, Boyd HA, Murray JC, Kim C, Mentch F, March M, Mangino M, Spector TD, Bataille V, Pennell CE, Holt PG, Sly P, Tiesler CM, Thiering E, Illig T, Imboden M, Nystad W, Simpson A, Hottenga JJ, Postma D, Koppelman GH, Smit HA, Soderhall C, Chawes B, Kreiner-Moller E, Bisgaard H, Melen E, Boomsma DI, Custovic A, Jacobsson B, Probst-Hensch NM, Palmer LJ, Glass D, Hakonarson H, Melbye M, Jarvis DL, Jaddoe VW, Gieger C; Genetics of Overweight Young Adults (GOYA) Consortium; Strachan DP, Martin NG, Jarvelin MR, Heinrich J, Evans DM, Weidinger S; EArly Genetics & Lifecourse Epidemiology (EAGLE) Consortium. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2011 Dec 25;44(2):187-92. doi: 10.1038/ng.1017.
PMID: 22197932
responsible party type: Principal Investigator
investigator affiliation: The Hospital for Sick Children
investigator full name: Shaun Morris
investigator title: Associate Staff Physician