2024
A group prenatal care intervention reduces gestational weight gain and gestational diabetes in American Samoan women
Hawley N, Faasalele‐Savusa K, Faiai M, Suiaunoa‐Scanlan L, Loia M, Ickovics J, Kocher E, Piel C, Mahoney M, Suss R, Trocha M, Rosen R, Muasau‐Howard B. A group prenatal care intervention reduces gestational weight gain and gestational diabetes in American Samoan women. Obesity 2024, 32: 1833-1843. PMID: 39256170, DOI: 10.1002/oby.24102.Peer-Reviewed Original ResearchConceptsGestational weight gainPostpartum weight changeGestational diabetes screeningClinically important between-group differenceDiabetes screeningGestational diabetesUsual care participantsPrenatal care interventionsMode of birthLow-risk pregnant womenPre-pregnancy obesityAmerican Samoan womenIncidence of gestational diabetesProportion of womenGestational diabetes incidenceInfant birth weightWeight gainBetween-group differencesCare interventionsCare participantsPreliminary effectivenessWeight changeRandom group assignmentDiabetes incidenceHigh-risk settingsAssociations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort
Rivara A, Russell E, Carlson J, Pomer A, Naseri T, Reupena M, Manna S, Viali S, Minster R, Weeks D, DeLany J, Kershaw E, McGarvey S, Hawley N. Associations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort. PLOS ONE 2024, 19: e0302643. PMID: 38829901, PMCID: PMC11146712, DOI: 10.1371/journal.pone.0302643.Peer-Reviewed Original ResearchConceptsType 2 diabetesAllele of rs373863828Body mass indexFasting glucoseAdult SamoansDevelopment of type 2 diabetesOdds of type 2 diabetesReduction of modifiable risk factorsRs373863828 genotypeAssociated with higher body mass indexType 2 diabetes developmentGlucose rate of changeMass indexHousehold asset scoreUrbanization of residenceHigher body mass indexRisk factorsModifiable risk factorsRate of changeBaseline variablesMultivariate linear regressionPhysical activityDiabetes preventionType 2 diabetes mellitusSmoking statusThe milk study protocol: A longitudinal, prospective cohort study of the relationship between human milk metabolic hormone concentration, maternal body composition, and early growth and satiety development in Samoan infants aged 1–4 months
Harries V, Abraham J, Vesi L, Reupena A, Faaselele-Savusa K, Duckham R, Bribiescas R, Hawley N. The milk study protocol: A longitudinal, prospective cohort study of the relationship between human milk metabolic hormone concentration, maternal body composition, and early growth and satiety development in Samoan infants aged 1–4 months. PLOS ONE 2024, 19: e0292997. PMID: 38728264, PMCID: PMC11086876, DOI: 10.1371/journal.pone.0292997.Peer-Reviewed Original ResearchConceptsMaternal body compositionEarly infant growthBody compositionInfant growthProspective longitudinal cohortMother-infant dyadsBreastfeeding mother-infant dyadsHuman milkFingerpick blood sampleInfants aged 1Longitudinal cohortBody composition measurementsProspective cohort studyInfant feeding patternsSatiety developmentUndernourished womenSatiety responsivenessInfant satietyInfant hungerHormone leptinCohort studyHigh-income settingsMultivariate analysisEating patternsHormone transferChild routines moderate a brief behavioral intervention to enhance sleep in school-aged children
Gebre A, Hawley N, Carskadon M, Raynor H, Jelalian E, Owens J, Wing R, Hart C. Child routines moderate a brief behavioral intervention to enhance sleep in school-aged children. Journal Of Pediatric Psychology 2024, 49: 365-371. PMID: 38553029, PMCID: PMC11098045, DOI: 10.1093/jpepsy/jsae015.Peer-Reviewed Original ResearchConceptsMonths post-randomizationSchool-aged childrenBehavioral sleep interventionsPost-randomizationBehavioral interventionsSleep interventionsChild routinesChild Routines InventoryEnhance sleepIntervention groupRoutine behaviorSecondary analysisSleep periodIntervention responseInterventionShort sleepWrist actigraphyModeration analysisRoutines InventoryPROCESS macroBehavior modificationChildrenBaselineTreatment conditionsSleep
2023
Association between age at menarche and cardiometabolic risk among Samoan adults
Oyama S, Duckham R, Pomer A, Rivara A, Kershaw E, Wood A, Fidow U, Naseri T, Reupena M, Viali S, McGarvey S, Hawley N. Association between age at menarche and cardiometabolic risk among Samoan adults. American Journal Of Human Biology 2023, 36: e23982. PMID: 37668413, PMCID: PMC10845161, DOI: 10.1002/ajhb.23982.Peer-Reviewed Original ResearchConceptsCardiometabolic riskOne-year increaseSubsequent cardiometabolic riskOdds of hypertensionHigher total cholesterolOdds of diabetesOdds of obesityEarly life exposureFat-free massCardiometabolic morbiditySerum lipidsBlood pressureMedian ageMetabolic syndromeTotal cholesterolProspective studyChildhood adiposityInsulin resistanceObesity prevalenceLife exposureSamoan adultsLean massEarly menarcheLogistic regressionMenarcheEpigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma
Recto K, Kachroo P, Huan T, Van Den Berg D, Lee G, Bui H, Lee D, Gereige J, Yao C, Hwang S, Joehanes R, Weiss S, Consortium N, Abe N, Abecasis G, Aguet F, Albert C, Almasy L, Alonso A, Ament S, Anderson P, Anugu P, Applebaum-Bowden D, Ardlie K, Arking D, Arnett D, Ashley-Koch A, Aslibekyan S, Assimes T, Auer P, Avramopoulos D, Ayas N, Balasubramanian A, Barnard J, Barnes K, Barr R, Barron-Casella E, Barwick L, Beaty T, Beck G, Becker D, Becker L, Beer R, Beitelshees A, Benjamin E, Benos T, Bezerra M, Bielak L, Bis J, Blackwell T, Blangero J, Blue N, Boerwinkle E, Bowden D, Bowler R, Brody J, Broeckel U, Broome J, Brown D, Bunting K, Burchard E, Bustamante C, Buth E, Cade B, Cardwell J, Carey V, Carrier J, Carson A, Carty C, Casaburi R, Romero J, Casella J, Castaldi P, Chaffin M, Chang C, Chang Y, Chasman D, Chavan S, Chen B, Chen W, Chen Y, Cho M, Choi S, Chuang L, Chung M, Chung R, Clish C, Comhair S, Conomos M, Cornell E, Correa A, Crandall C, Crapo J, Cupples L, Curran J, Curtis J, Custer B, Damcott C, Darbar D, David S, Davis C, Daya M, de Andrade M, de las Fuentes L, de Vries P, DeBaun M, Deka R, DeMeo D, Devine S, Dinh H, Doddapaneni H, Duan Q, Dugan-Perez S, Duggirala R, Durda J, Dutcher S, Eaton C, Ekunwe L, Boueiz A, Ellinor P, Emery L, Erzurum S, Farber C, Farek J, Fingerlin T, Flickinger M, Fornage M, Franceschini N, Frazar C, Fu M, Fullerton S, Fulton L, Gabriel S, Gan W, Gao S, Gao Y, Gass M, Geiger H, Gelb B, Geraci M, Germer S, Gerszten R, Ghosh A, Gibbs R, Gignoux C, Gladwin M, Glahn D, Gogarten S, Gong D, Goring H, Graw S, Gray K, Grine D, Gross C, Gu C, Guan Y, Guo X, Gupta N, Haessler J, Hall M, Han Y, Hanly P, Harris D, Hawley N, He J, Heavner B, Heckbert S, Hernandez R, Herrington D, Hersh C, Hidalgo B, Hixson J, Hobbs B, Hokanson J, Hong E, Hoth K, Hsiung C, Hu J, Hung Y, Huston H, Hwu C, Irvin M, Jackson R, Jain D, Jaquish C, Johnsen J, Johnson A, Johnson C, Johnston R, Jones K, Kang H, Kaplan R, Kardia S, Kelly S, Kenny E, Kessler M, Khan A, Khan Z, Kim W, Kimoff J, Kinney G, Konkle B, Kooperberg C, Kramer H, Lange C, Lange E, Lange L, Laurie C, Laurie C, LeBoff M, Lee J, Lee S, Lee W, LeFaive J, Levine D, Levy D, Lewis J, Li X, Li Y, Lin H, Lin H, Lin X, Liu S, Liu Y, Liu Y, Loos R, Lubitz S, Lunetta K, Luo J, Magalang U, Mahaney M, Make B, Manichaikul A, Manning A, Manson J, Martin L, Marton M, Mathai S, Mathias R, May S, McArdle P, McDonald M, McFarland S, McGarvey S, McGoldrick D, McHugh C, McNeil B, Mei H, Meigs J, Menon V, Mestroni L, Metcalf G, Meyers D, Mignot E, Mikulla J, Min N, Minear M, Minster R, Mitchell B, Moll M, Momin Z, Montasser M, Montgomery C, Muzny D, Mychaleckyj J, Nadkarni G, Naik R, Naseri T, Natarajan P, Nekhai S, Nelson S, Neltner B, Nessner C, Nickerson D, Nkechinyere O, North K, O'Connell J, O'Connor T, Ochs-Balcom H, Okwuonu G, Pack A, Paik D, Palmer N, Pankow J, Papanicolaou G, Parker C, Peloso G, Peralta J, Perez M, Perry J, Peters U, Peyser P, Phillips L, Pleiness J, Pollin T, Post W, Becker J, Boorgula M, Preuss M, Psaty B, Qasba P, Qiao D, Qin Z, Rafaels N, Raffield L, Rajendran M, Ramachandran V, Rao D, Rasmussen-Torvik L, Ratan A, Redline S, Reed R, Reeves C, Regan E, Reiner A, Reupena M, Rice K, Rich S, Robillard R, Robine N, Roden D, Roselli C, Rotter J, Ruczinski I, Runnels A, Russell P, Ruuska S, Ryan K, Sabino E, Saleheen D, Salimi S, Salvi S, Salzberg S, Sandow K, Sankaran V, Santibanez J, Schwander K, Schwartz D, Sciurba F, Seidman C, Seidman J, Sériès F, Sheehan V, Sherman S, Shetty A, Shetty A, Sheu W, Shoemaker M, Silver B, Silverman E, Skomro R, Smith A, Smith J, Smith J, Smith N, Smith T, Smoller S, Snively B, Snyder M, Sofer T, Sotoodehnia N, Stilp A, Storm G, Streeten E, Su J, Sung Y, Sylvia J, Szpiro A, Taliun D, Tang H, Taub M, Taylor K, Taylor M, Taylor S, Telen M, Thornton T, Threlkeld M, Tinker L, Tirschwell D, Tishkoff S, Tiwari H, Tong C, Tracy R, Tsai M, Vaidya D, Van Den Berg D, VandeHaar P, Vrieze S, Walker T, Wallace R, Walts A, Wang F, Wang H, Wang J, Watson K, Watt J, Weeks D, Weinstock J, Weir B, Weiss S, Weng L, Wessel J, Willer C, Williams K, Williams L, Williams S, Wilson C, Wilson J, Winterkorn L, Wong Q, Wu B, Wu J, Xu H, Yanek L, Yang I, Yu K, Zekavat S, Zhang Y, Zhao S, Zhao W, Zhu X, Ziv E, Zody M, Zoellner S, O’Connor G, Levy D, DeMeo D. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma. EBioMedicine 2023, 95: 104758. PMID: 37598461, PMCID: PMC10462855, DOI: 10.1016/j.ebiom.2023.104758.Peer-Reviewed Original ResearchConceptsMethylation quantitative trait lociAssociation studiesNovel epigenetic signatureIdentifies novel targetsQuantitative trait lociTranscription factor bindingEpigenome-wide association studiesGene ontology analysisWide association studyClosest genesTrait lociCausal regulatorsDrug target analysisTranscription patternsOntology analysisDNA methylationEpigenetic signaturesFactor bindingGene expressionMolecular mechanismsMendelian randomizationCosta Rica StudyPotential therapeutic targetNovel targetGenetic epidemiologyBirth-Based vs Fetuses-at-Risk Approaches for Assessing Neonatal Mortality Rate by Race
Wu B, Taylor S, Shabanova V, Hawley N. Birth-Based vs Fetuses-at-Risk Approaches for Assessing Neonatal Mortality Rate by Race. JAMA Pediatrics 2023, 177: 633-635. PMID: 37093613, PMCID: PMC10126942, DOI: 10.1001/jamapediatrics.2023.0333.Commentaries, Editorials and LettersPreterm birth among Pacific Islanders in the United States and the US‐affiliated Pacific Islands: A systematic review and meta‐analysis
Wu B, Arslanian K, Nyhan K, Suss R, Mahoney M, McElfish P, Muasau‐Howard B, Ekeroma A, Hawley N. Preterm birth among Pacific Islanders in the United States and the US‐affiliated Pacific Islands: A systematic review and meta‐analysis. Birth 2023, 50: 287-299. PMID: 37060205, PMCID: PMC10577805, DOI: 10.1111/birt.12713.Peer-Reviewed Original ResearchConceptsPreterm birthPooled prevalencePacific Islander subgroupsWhite womenRisk factorsPacific IslandersPre-pregnancy body mass indexUS-Affiliated Pacific IslandsBody mass indexHighest pooled prevalencePerinatal health disparitiesPreterm birth prevalencePreterm birth outcomesOutcomes of interestRandom-effects modelPacific Islander womenBirth outcomesMass indexObservational studyPooled estimatesBirth prevalenceHigher oddsSystematic reviewMarshallese womenHealth disparitiesCross-sectional and prospective associations between household socioeconomic resources, appetite traits, and body size among Samoan infants
Oyama S, Arslanian K, Fidow U, Naseri T, Soti-Ulberg C, Hawley N. Cross-sectional and prospective associations between household socioeconomic resources, appetite traits, and body size among Samoan infants. Appetite 2023, 185: 106519. PMID: 36870391, DOI: 10.1016/j.appet.2023.106519.Peer-Reviewed Original ResearchPrediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupua’e cohort
Choy C, Johnson W, Duckham R, Naseri T, Soti-Ulberg C, Reupena M, Braun J, McGarvey S, Hawley N. Prediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupua’e cohort. European Journal Of Clinical Nutrition 2023, 77: 495-502. PMID: 36624192, PMCID: PMC7614464, DOI: 10.1038/s41430-022-01256-6.Peer-Reviewed Original ResearchConceptsFat massSex-specific prediction modelsCross-sectional studyAge 7 yearsHigh-risk settingsFuture obesity preventionModel development sampleSamoan childrenObesity prevalenceObesity preventionBody fatHigh riskSex-specific modelsBland-Altman limitsSubscapularSubstantial concordanceAge 7Pacific IslandersChildrenDXADevelopment samplePreventionConcordanceYearsValidation sample
2022
Validity of anthropometric equation‐based estimators of fat mass in Samoan adults
Heinsberg L, Hawley N, Duckham R, Pomer A, Rivara A, Naseri T, Reupena M, Weeks D, McGarvey S, Minster R. Validity of anthropometric equation‐based estimators of fat mass in Samoan adults. American Journal Of Human Biology 2022, 35: e23838. PMID: 36428275, PMCID: PMC10023273, DOI: 10.1002/ajhb.23838.Peer-Reviewed Original ResearchThe protective effect of rs373863828 on type 2 diabetes does not operate through a body composition pathway in adult Samoans
Hawley NL, Duckham RL, Carlson JC, Naseri T, Reupena MS, Lameko V, Pomer A, Wetzel A, Selu M, Lupematisila V, Unasa F, Vesi L, Fatu T, Unasa S, Faasalele‐Savusa K, Rivara AC, Russell E, Delany JP, Viali S, Kershaw EE, Minster RL, Weeks DE, McGarvey ST. The protective effect of rs373863828 on type 2 diabetes does not operate through a body composition pathway in adult Samoans. Obesity 2022, 30: 2468-2476. PMID: 36284436, PMCID: PMC10111239, DOI: 10.1002/oby.23559.Peer-Reviewed Original ResearchConceptsFat-free massType 2 diabetesFat distributionProtective effectBody compositionFavorable body fat distributionDual-energy X-ray absorptiometry-derived body compositionBody fat distributionGreater fat-free massPercent body fatBody size/compositionAssociation of genotypesRs373863828 genotypeVisceral adiposityHigher BMIAdult SamoansRole of fatGreater BMILean massBody fatLower oddsParadoxical associationTissue-specific mechanismsA alleleDiabetesMaternal responsiveness and toddler body mass index z-score: Prospective analysis of maternal and child mealtime interactions
Hart C, Phelan S, Coffman D, Jelalian E, Ventura A, Hodges E, Hawley N, Fisher J, Wing R. Maternal responsiveness and toddler body mass index z-score: Prospective analysis of maternal and child mealtime interactions. Appetite 2022, 180: 106348. PMID: 36272545, DOI: 10.1016/j.appet.2022.106348.Peer-Reviewed Original ResearchConceptsBody mass index z-scoreOverweight/overweightIndex z-scoreChild weight statusSatiation cuesWeight statusMaternal promptsToddler growthZ-scoreMaternal responsivenessOverweight/obesityHealthy weight statusHigher childHigher child weight statusLifestyle interventionMealtime interactionsHealthy weightResponsive feedingProspective analysisProspective associationsOverweightMonthsChild hungerSubset of familiesRiskThe missense variant, rs373863828, in CREBRF plays a role in longitudinal changes in body mass index in Samoans
Fu H, Hawley NL, Carlson JC, Russell EM, Pomer A, Cheng H, Naseri T, Reupena M, Deka R, Choy CC, McGarvey ST, Minster RL, Weeks DE. The missense variant, rs373863828, in CREBRF plays a role in longitudinal changes in body mass index in Samoans. Obesity Research & Clinical Practice 2022, 16: 220-227. PMID: 35606300, PMCID: PMC9373717, DOI: 10.1016/j.orcp.2022.04.004.Peer-Reviewed Original ResearchConceptsBMI rateHousehold asset scoreAA genotypeBody mass indexMissense variantsBMI of femalesSex-stratified modelsHigh rateAG participantsBaseline BMIMean BMICohort studyMass indexSamoan adultsPhysical activityGG genotypeBMIAge groupsA alleleLongitudinal changesAsset scoreRs373863828Older participantsFemalesCREBRFPregnancy health and perinatal outcomes among Pacific Islander women in the United States and US Affiliated Pacific Islands: Protocol for a scoping review
Suss R, Mahoney M, Arslanian KJ, Nyhan K, Hawley NL. Pregnancy health and perinatal outcomes among Pacific Islander women in the United States and US Affiliated Pacific Islands: Protocol for a scoping review. PLOS ONE 2022, 17: e0262010. PMID: 35041684, PMCID: PMC8765672, DOI: 10.1371/journal.pone.0262010.Peer-Reviewed Original Research
2021
Barriers and facilitators to pre-exposure prophylaxis uptake among male sex workers in Mexico: an application of the RE-AIM framework
Kadiamada-Ibarra H, Hawley NL, Sosa-Rubí SG, Wilson-Barthes M, Franco RR, Galárraga O. Barriers and facilitators to pre-exposure prophylaxis uptake among male sex workers in Mexico: an application of the RE-AIM framework. BMC Public Health 2021, 21: 2174. PMID: 34837988, PMCID: PMC8626882, DOI: 10.1186/s12889-021-12167-9.Peer-Reviewed Original ResearchConceptsMale sex workersPre-exposure prophylaxisHigh-risk populationPrEP distributionProgram reachSex workersRE-AIM implementation science frameworkHIV pre-exposure prophylaxisAdoption of PrEPRE-AIM frameworkPatient-centered careLow socioeconomic statusPrimary qualitative analysisImplementation science frameworkPrEP knowledgeHIV infectionAdherence barriersPrEP adoptionPrEP educationHIV preventionHigh riskMethodsThis studyStreet-based sex workersTransgender womenHIVWhole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease
Katz D, Tahir U, Bick A, Pampana A, Ngo D, Benson M, Yu Z, Robbins J, Chen Z, Cruz D, Deng S, Farrell L, Sinha S, Schmaier A, Shen D, Gao Y, Hall M, Correa A, Tracy R, Durda P, Taylor K, Liu Y, Johnson W, Guo X, Yao J, Ida Chen Y, Manichaikul A, Jain D, Bouchard C, Sarzynski M, Rich S, Rotter J, Wang T, Wilson J, Natarajan P, Gerszten R, Abe N, Abecasis G, Aguet F, Albert C, Almasy L, Alonso A, Ament S, Anderson P, Anugu P, Applebaum-Bowden D, Ardlie K, Arking D, Arnett D, Ashley-Koch A, Aslibekyan S, Assimes T, Auer P, Avramopoulos D, Ayas N, Balasubramanian A, Barnard J, Barnes K, Barr R, Barron-Casella E, Barwick L, Beaty T, Beck G, Becker D, Becker L, Beer R, Beitelshees A, Benjamin E, Benos T, Bezerra M, Bielak L, Bis J, Blackwell T, Blangero J, Boerwinkle E, Bowden D, Bowler R, Brody J, Broeckel U, Broome J, Brown D, Bunting K, Burchard E, Bustamante C, Buth E, Cade B, Cardwell J, Carey V, Carrier J, Carson A, Carty C, Casaburi R, Casas Romero J, Casella J, Castaldi P, Chaffin M, Chang C, Chang Y, Chasman D, Chavan S, Chen B, Chen W, Chen Y, Cho M, Choi S, Chuang L, Chung M, Chung R, Clish C, Comhair S, Conomos M, Cornell E, Correa A, Crandall C, Crapo J, Cupples L, Curran J, Curtis J, Custer B, Damcott C, Darbar D, David S, Davis C, Daya M, de Andrade M, de las Fuentes L, de Vries P, DeBaun M, Deka R, DeMeo D, Devine S, Dinh H, Doddapaneni H, Duan Q, Dugan-Perez S, Duggirala R, Durda J, Dutcher S, Eaton C, Ekunwe L, El Boueiz A, Ellinor P, Emery L, Erzurum S, Farber C, Farek J, Fingerlin T, Flickinger M, Fornage M, Franceschini N, Frazar C, Fu M, Fullerton S, Fulton L, Gabriel S, Gan W, Gao S, Gao Y, Gass M, Geiger H, Gelb B, Geraci M, Germer S, Gerszten R, Ghosh A, Gibbs R, Gignoux C, Gladwin M, Glahn D, Gogarten S, Gong D, Goring H, Graw S, Gray K, Grine D, Gross C, Gu C, Guan Y, Guo X, Gupta N, Haas D, Haessler J, Hall M, Han Y, Hanly P, Harris D, Hawley N, He J, Heavner B, Heckbert S, Hernandez R, Herrington D, Hersh C, Hidalgo B, Hixson J, Hobbs B, Hokanson J, Hong E, Hoth K, Hsiung C, Hu J, Hung Y, Huston H, Hwu C, Irvin M, Jackson R, Jain D, Jaquish C, Johnsen J, Johnson A, Johnson C, Johnston R, Jones K, Kang H, Kaplan R, Kardia S, Kelly S, Kenny E, Kessler M, Khan A, Khan Z, Kim W, Kimoff J, Kinney G, Konkle B, Kooperberg C, Kramer H, Lange C, Lange E, Lange L, Laurie C, Laurie C, LeBoff M, Lee J, Lee S, Lee W, LeFaive J, Levine D, Levy D, Lewis J, Li X, Li Y, Lin H, Lin H, Lin X, Liu S, Liu Y, Liu Y, Loos R, Lubitz S, Lunetta K, Luo J, Magalang U, Mahaney M, Make B, Manichaikul A, Manning A, Manson J, Martin L, Marton M, Mathai S, Mathias R, May S, McArdle P, McDonald M, McFarland S, McGarvey S, McGoldrick D, McHugh C, McNeil B, Mei H, Meigs J, Menon V, Mestroni L, Metcalf G, Meyers D, Mignot E, Mikulla J, Min N, Minear M, Minster R, Mitchell B, Moll M, Momin Z, Montasser M, Montgomery C, Muzny D, Mychaleckyj J, Nadkarni G, Naik R, Naseri T, Natarajan P, Nekhai S, Nelson S, Neltner B, Nessner C, Nickerson D, Nkechinyere O, North K, O’Connell J, O’Connor T, Ochs-Balcom H, Okwuonu G, Pack A, Paik D, Palmer N, Pankow J, Papanicolaou G, Parker C, Peloso G, Peralta J, Perez M, Perry J, Peters U, Peyser P, Phillips L, Pleiness J, Pollin T, Post W, Powers Becker J, Preethi Boorgula M, Preuss M, Psaty B, Qasba P, Qiao D, Qin Z, Rafaels N, Raffield L, Rajendran M, Ramachandran V, Rao D, Rasmussen-Torvik L, Ratan A, Redline S, Reed R, Reeves C, Regan E, Reiner A, Reupena M, Rice K, Rich S, Robillard R, Robine N, Roden D, Roselli C, Rotter J, Ruczinski I, Runnels A, Russell P, Ruuska S, Ryan K, Sabino E, Saleheen D, Salimi S, Salvi S, Salzberg S, Sandow K, Sankaran V, Santibanez J, Schwander K, Schwartz D, Sciurba F, Seidman C, Seidman J, Sériès F, Sheehan V, Sherman S, Shetty A, Shetty A, Sheu W, Shoemaker M, Silver B, Silverman E, Skomro R, Smith A, Smith J, Smith J, Smith N, Smith T, Smoller S, Snively B, Snyder M, Sofer T, Sotoodehnia N, Stilp A, Storm G, Streeten E, Su J, Sung Y, Sylvia J, Szpiro A, Taliun D, Tang H, Taub M, Taylor K, Taylor M, Taylor S, Telen M, Thornton T, Threlkeld M, Tinker L, Tirschwell D, Tishkoff S, Tiwari H, Tong C, Tracy R, Tsai M, Vaidya D, Van Den Berg D, VandeHaar P, Vrieze S, Walker T, Wallace R, Walts A, Wang F, Wang H, Wang J, Watson K, Watt J, Weeks D, Weinstock J, Weir B, Weiss S, Weng L, Wessel J, Willer C, Williams K, Williams L, Wilson C, Wilson J, Winterkorn L, Wong Q, Wu J, Xu H, Yanek L, Yang I, Yu K, Zekavat S, Zhang Y, Zhao S, Zhao W, Zhu X, Zody M, Zoellner S. Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease. Circulation 2021, 145: 357-370. PMID: 34814699, PMCID: PMC9158509, DOI: 10.1161/circulationaha.121.055117.Peer-Reviewed Original ResearchConceptsWhole genome sequence analysisGenome sequence analysisWhole genome sequencing association analysisPlasma proteomeSequence analysisNovel pleiotropic lociNovel genetic determinantsNew protein associationsNew biological mechanismsGenetic architectureNon-European populationsPleiotropic lociGenotyping arraysProtein associationProteomic profilingGene locusGenetic regionsProteomics platformFunctional importanceAssociation analysisProteomeAfrican ancestryGenetic determinantsNovel insightsProteinPreterm birth among Pacific Islander women and related perinatal outcomes: a scoping review protocol
Wu B, Arslanian KJ, Nyhan K, Taylor S, Shabanova V, Muasau-Howard B, Hawley NL. Preterm birth among Pacific Islander women and related perinatal outcomes: a scoping review protocol. BMJ Open 2021, 11: e050483. PMID: 34728448, PMCID: PMC8565552, DOI: 10.1136/bmjopen-2021-050483.Peer-Reviewed Original ResearchConceptsPreterm birthPacific IslandersMaternal-child health outcomesCause of deathPreferred Reporting ItemsJoanna Briggs Institute ManualPacific Islander womenFull-text screeningPerinatal outcomesFuture study designsPeer-reviewed journalsCochrane LibraryRisk factorsEligible studiesConsensus reviewReporting ItemsHealth outcomesReview protocolEvidence mappingStudy designEvidence synthesisBirthOutcomesScoping ReviewMinority populationsPersistence of anaemia among Samoan preschool age children: a longitudinal study
Wu B, Choy CC, Rivara AC, Soti-Ulberg C, Naseri T, Reupena MS, Duckham RL, Hawley NL. Persistence of anaemia among Samoan preschool age children: a longitudinal study. Public Health Nutrition 2021, 24: 5995-6006. PMID: 34521497, PMCID: PMC8608721, DOI: 10.1017/s1368980021003980.Peer-Reviewed Original ResearchConceptsPersistence of anemiaAnemia prevalenceDaily dietary iron intakeHigher daily sodium intakeDaily sodium intakeDietary iron intakeRisk of anemiaMother-child pairsPersistent anemiaSodium intakeIron intakeRisk factorsRoutine screeningAnemiaPoisson regressionPreschool-age childrenOlder mothersPrevention effortsHousehold correlatesPrevalenceLongitudinal studyConsecutive wavesChildrenAge childrenMothersA murine model of the human CREBRFR457Q obesity-risk variant does not influence energy or glucose homeostasis in response to nutritional stress
Kanshana JS, Mattila PE, Ewing MC, Wood AN, Schoiswohl G, Meyer AC, Kowalski A, Rosenthal SL, Gingras S, Kaufman BA, Lu R, Weeks DE, McGarvey ST, Minster RL, Hawley NL, Kershaw EE. A murine model of the human CREBRFR457Q obesity-risk variant does not influence energy or glucose homeostasis in response to nutritional stress. PLOS ONE 2021, 16: e0251895. PMID: 34520472, PMCID: PMC8439463, DOI: 10.1371/journal.pone.0251895.Peer-Reviewed Original ResearchConceptsMurine modelGlucose homeostasisEnergy/glucose homeostasisOdds of diabetesOdds of obesityObesity risk variantsAlternative preclinical modelsPromotes obesityPreclinical modelsKnockin miceObesityDiabetesStrong heritable componentExtensive phenotypic analysisMissense variantsOrthologous variantDiseaseMiceOddsAdaptive transcriptional responseExtreme nutritional stressNutritional stressHomeostasisGenetic contributionRegulatory factors